From 5f31e250d43c05a6ab9cfafe16500a6b2fe07858 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Thu, 4 Jul 2024 15:51:19 +0100 Subject: [PATCH 001/153] feat: make openAI model version configurable --- .env.django | 1 + .env.example | 1 + .env.test | 1 + core_api/src/dependencies.py | 28 +++++++++++++++++++-------- redbox-core/redbox/models/settings.py | 25 ++++++++++++++++-------- 5 files changed, 40 insertions(+), 16 deletions(-) diff --git a/.env.django b/.env.django index 8aa7ddaed..41bb42dd2 100644 --- a/.env.django +++ b/.env.django @@ -2,6 +2,7 @@ ANTHROPIC_API_KEY= OPENAI_API_KEY= +OPENAI_MODEL= LLM_MAX_TOKENS=1024 # === Development === diff --git a/.env.example b/.env.example index 9a78c01e5..ed2f1714a 100644 --- a/.env.example +++ b/.env.example @@ -2,6 +2,7 @@ ANTHROPIC_API_KEY= OPENAI_API_KEY= +OPENAI_API_KEY= LLM_MAX_TOKENS=1024 # === Development === diff --git a/.env.test b/.env.test index 6fac0ca6e..0bc9191ce 100644 --- a/.env.test +++ b/.env.test @@ -2,6 +2,7 @@ ANTHROPIC_API_KEY= OPENAI_API_KEY= +OPENAI_MODEL= LLM_MAX_TOKENS=1024 # === AI === diff --git a/core_api/src/dependencies.py b/core_api/src/dependencies.py index db3eab95e..d90c8594e 100644 --- a/core_api/src/dependencies.py +++ b/core_api/src/dependencies.py @@ -12,13 +12,16 @@ from langchain_core.retrievers import BaseRetriever from langchain_core.runnables import ConfigurableField from langchain_elasticsearch import ApproxRetrievalStrategy, ElasticsearchStore - -from core_api.src.callbacks import LoggerCallbackHandler -from core_api.src.retriever import AllElasticsearchRetriever, ParameterisedElasticsearchRetriever from redbox.model_db import MODEL_PATH from redbox.models import Settings from redbox.storage import ElasticsearchStorageHandler +from core_api.src.callbacks import LoggerCallbackHandler +from core_api.src.retriever import ( + AllElasticsearchRetriever, + ParameterisedElasticsearchRetriever, +) + logging.basicConfig(level=logging.INFO) log = logging.getLogger() @@ -29,13 +32,17 @@ def get_env() -> Settings: @lru_cache(1) -def get_elasticsearch_client(env: Annotated[Settings, Depends(get_env)]) -> Elasticsearch: +def get_elasticsearch_client( + env: Annotated[Settings, Depends(get_env)] +) -> Elasticsearch: return env.elasticsearch_client() @lru_cache(1) def get_embedding_model(env: Annotated[Settings, Depends(get_env)]) -> Embeddings: - embedding_model = SentenceTransformerEmbeddings(model_name=env.embedding_model, cache_folder=MODEL_PATH) + embedding_model = SentenceTransformerEmbeddings( + model_name=env.embedding_model, cache_folder=MODEL_PATH + ) log.info("Loaded embedding model from environment: %s", env.embedding_model) return embedding_model @@ -72,7 +79,8 @@ def get_vector_store( @lru_cache(1) def get_parameterised_retriever( - env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)] + env: Annotated[Settings, Depends(get_env)], + es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], ) -> BaseRetriever: """Creates an Elasticsearch retriever runnable. @@ -94,14 +102,17 @@ def get_parameterised_retriever( embedding_model=get_embedding_model(env), ).configurable_fields( params=ConfigurableField( - id="params", name="Retriever parameters", description="A dictionary of parameters to use for the retriever." + id="params", + name="Retriever parameters", + description="A dictionary of parameters to use for the retriever.", ) ) @lru_cache(1) def get_all_chunks_retriever( - env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)] + env: Annotated[Settings, Depends(get_env)], + es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], ): return AllElasticsearchRetriever( es_client=es, @@ -120,6 +131,7 @@ def get_llm(env: Annotated[Settings, Depends(get_env)]) -> ChatLiteLLM: streaming=True, openai_key=env.openai_api_key, callbacks=[logger_callback], + model=env.openai_model, ) elif env.azure_openai_api_key is not None: log.info("Creating Azure LLM Client") diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 2716eba79..fb1534980 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -10,9 +10,7 @@ log = logging.getLogger() -VANILLA_SYSTEM_PROMPT = ( - "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." -) +VANILLA_SYSTEM_PROMPT = "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." RETRIEVAL_SYSTEM_PROMPT = ( "Given the following conversation and extracted parts of a long document and a question, create a final answer. \n" @@ -66,15 +64,21 @@ VANILLA_QUESTION_PROMPT = "{question}\n=========\n Response: " -RETRIEVAL_QUESTION_PROMPT = "{question} \n=========\n{formatted_documents}\n=========\nFINAL ANSWER: " +RETRIEVAL_QUESTION_PROMPT = ( + "{question} \n=========\n{formatted_documents}\n=========\nFINAL ANSWER: " +) -SUMMARISATION_QUESTION_PROMPT = "Question: {question}. \n\n Documents: \n\n {documents} \n\n Answer: " +SUMMARISATION_QUESTION_PROMPT = ( + "Question: {question}. \n\n Documents: \n\n {documents} \n\n Answer: " +) MAP_QUESTION_PROMPT = "Question: {question}. " MAP_DOCUMENT_PROMPT = "\n\n Documents: \n\n {documents} \n\n Answer: " -REDUCE_QUESTION_PROMPT = "Question: {question}. \n\n Documents: \n\n {summaries} \n\n Answer: " +REDUCE_QUESTION_PROMPT = ( + "Question: {question}. \n\n Documents: \n\n {summaries} \n\n Answer: " +) CONDENSE_QUESTION_PROMPT = "{question}\n=========\n Standalone question: " @@ -136,6 +140,7 @@ class Settings(BaseSettings): anthropic_api_key: str | None = None openai_api_key: str | None = None + openai_model: str | None = None azure_openai_api_key: str | None = None azure_openai_endpoint: str | None = None @@ -183,7 +188,9 @@ class Settings(BaseSettings): dev_mode: bool = False superuser_email: str | None = None - model_config = SettingsConfigDict(env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True) + model_config = SettingsConfigDict( + env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True + ) def elasticsearch_client(self) -> Elasticsearch: if isinstance(self.elastic, ElasticLocalSettings): @@ -204,7 +211,9 @@ def elasticsearch_client(self) -> Elasticsearch: log.info("Cloud ID = %s", self.elastic.cloud_id) log.info("Elastic Cloud API Key = %s", self.elastic.api_key) - return Elasticsearch(cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key) + return Elasticsearch( + cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key + ) def s3_client(self): if self.object_store == "minio": From ef0993f78fcbf93cd3d41e1298f578ed24f22144 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Thu, 4 Jul 2024 16:37:40 +0100 Subject: [PATCH 002/153] fix: remove auto-formatting changes --- core_api/src/dependencies.py | 27 ++++++++------------------- redbox-core/redbox/models/settings.py | 24 ++++++++---------------- 2 files changed, 16 insertions(+), 35 deletions(-) diff --git a/core_api/src/dependencies.py b/core_api/src/dependencies.py index d90c8594e..4c03d2837 100644 --- a/core_api/src/dependencies.py +++ b/core_api/src/dependencies.py @@ -12,16 +12,13 @@ from langchain_core.retrievers import BaseRetriever from langchain_core.runnables import ConfigurableField from langchain_elasticsearch import ApproxRetrievalStrategy, ElasticsearchStore + +from core_api.src.callbacks import LoggerCallbackHandler +from core_api.src.retriever import AllElasticsearchRetriever, ParameterisedElasticsearchRetriever from redbox.model_db import MODEL_PATH from redbox.models import Settings from redbox.storage import ElasticsearchStorageHandler -from core_api.src.callbacks import LoggerCallbackHandler -from core_api.src.retriever import ( - AllElasticsearchRetriever, - ParameterisedElasticsearchRetriever, -) - logging.basicConfig(level=logging.INFO) log = logging.getLogger() @@ -32,17 +29,13 @@ def get_env() -> Settings: @lru_cache(1) -def get_elasticsearch_client( - env: Annotated[Settings, Depends(get_env)] -) -> Elasticsearch: +def get_elasticsearch_client(env: Annotated[Settings, Depends(get_env)]) -> Elasticsearch: return env.elasticsearch_client() @lru_cache(1) def get_embedding_model(env: Annotated[Settings, Depends(get_env)]) -> Embeddings: - embedding_model = SentenceTransformerEmbeddings( - model_name=env.embedding_model, cache_folder=MODEL_PATH - ) + embedding_model = SentenceTransformerEmbeddings(model_name=env.embedding_model, cache_folder=MODEL_PATH) log.info("Loaded embedding model from environment: %s", env.embedding_model) return embedding_model @@ -79,8 +72,7 @@ def get_vector_store( @lru_cache(1) def get_parameterised_retriever( - env: Annotated[Settings, Depends(get_env)], - es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], + env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], ) -> BaseRetriever: """Creates an Elasticsearch retriever runnable. @@ -102,17 +94,14 @@ def get_parameterised_retriever( embedding_model=get_embedding_model(env), ).configurable_fields( params=ConfigurableField( - id="params", - name="Retriever parameters", - description="A dictionary of parameters to use for the retriever.", + id="params", name="Retriever parameters", description="A dictionary of parameters to use for the retriever.", ) ) @lru_cache(1) def get_all_chunks_retriever( - env: Annotated[Settings, Depends(get_env)], - es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], + env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], ): return AllElasticsearchRetriever( es_client=es, diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index fb1534980..f899fb77e 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -10,7 +10,9 @@ log = logging.getLogger() -VANILLA_SYSTEM_PROMPT = "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." +VANILLA_SYSTEM_PROMPT = ( + "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." +) RETRIEVAL_SYSTEM_PROMPT = ( "Given the following conversation and extracted parts of a long document and a question, create a final answer. \n" @@ -64,21 +66,15 @@ VANILLA_QUESTION_PROMPT = "{question}\n=========\n Response: " -RETRIEVAL_QUESTION_PROMPT = ( - "{question} \n=========\n{formatted_documents}\n=========\nFINAL ANSWER: " -) +RETRIEVAL_QUESTION_PROMPT = "{question} \n=========\n{formatted_documents}\n=========\nFINAL ANSWER: " -SUMMARISATION_QUESTION_PROMPT = ( - "Question: {question}. \n\n Documents: \n\n {documents} \n\n Answer: " -) +SUMMARISATION_QUESTION_PROMPT = "Question: {question}. \n\n Documents: \n\n {documents} \n\n Answer: " MAP_QUESTION_PROMPT = "Question: {question}. " MAP_DOCUMENT_PROMPT = "\n\n Documents: \n\n {documents} \n\n Answer: " -REDUCE_QUESTION_PROMPT = ( - "Question: {question}. \n\n Documents: \n\n {summaries} \n\n Answer: " -) +REDUCE_QUESTION_PROMPT = "Question: {question}. \n\n Documents: \n\n {summaries} \n\n Answer: " CONDENSE_QUESTION_PROMPT = "{question}\n=========\n Standalone question: " @@ -188,9 +184,7 @@ class Settings(BaseSettings): dev_mode: bool = False superuser_email: str | None = None - model_config = SettingsConfigDict( - env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True - ) + model_config = SettingsConfigDict(env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True) def elasticsearch_client(self) -> Elasticsearch: if isinstance(self.elastic, ElasticLocalSettings): @@ -211,9 +205,7 @@ def elasticsearch_client(self) -> Elasticsearch: log.info("Cloud ID = %s", self.elastic.cloud_id) log.info("Elastic Cloud API Key = %s", self.elastic.api_key) - return Elasticsearch( - cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key - ) + return Elasticsearch(cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key) def s3_client(self): if self.object_store == "minio": From 3d7ad66953c502946b79baa0f7e3c6b3039280f2 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Thu, 4 Jul 2024 16:43:13 +0100 Subject: [PATCH 003/153] fix: remove auto-formatting changes --- core_api/src/dependencies.py | 6 +++--- redbox-core/redbox/models/settings.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/core_api/src/dependencies.py b/core_api/src/dependencies.py index 4c03d2837..fd477fb77 100644 --- a/core_api/src/dependencies.py +++ b/core_api/src/dependencies.py @@ -72,7 +72,7 @@ def get_vector_store( @lru_cache(1) def get_parameterised_retriever( - env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], + env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)] ) -> BaseRetriever: """Creates an Elasticsearch retriever runnable. @@ -94,14 +94,14 @@ def get_parameterised_retriever( embedding_model=get_embedding_model(env), ).configurable_fields( params=ConfigurableField( - id="params", name="Retriever parameters", description="A dictionary of parameters to use for the retriever.", + id="params", name="Retriever parameters", description="A dictionary of parameters to use for the retriever." ) ) @lru_cache(1) def get_all_chunks_retriever( - env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], + env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)] ): return AllElasticsearchRetriever( es_client=es, diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index f899fb77e..b7f1d69f8 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -10,7 +10,7 @@ log = logging.getLogger() -VANILLA_SYSTEM_PROMPT = ( +VANILLA_SYSTEM_PROMPT = ( "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." ) From 6a3f9128ccbd5936e95ffcaff7bf18e1308b0ac6 Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Tue, 9 Jul 2024 13:08:18 +0100 Subject: [PATCH 004/153] SSO integration with v0.4 --- Makefile | 12 +- django_app/poetry.lock | 22 ++- django_app/pyproject.toml | 1 + .../redbox_app/redbox_core/auth_views.py | 3 + django_app/redbox_app/redbox_core/models.py | 187 ++++++++++++------ django_app/redbox_app/settings.py | 28 ++- django_app/redbox_app/urls.py | 3 + django_app/start.sh | 1 + redbox-core/redbox/models/settings.py | 8 +- 9 files changed, 191 insertions(+), 74 deletions(-) diff --git a/Makefile b/Makefile index aae2c61d8..788065385 100644 --- a/Makefile +++ b/Makefile @@ -107,15 +107,17 @@ docs-build: ## Build documentation poetry run mkdocs build # Docker +AWS_ACCOUNT_ID=REPLACE_ME + AWS_REGION=eu-west-2 -APP_NAME=redbox +APP_NAME=dbt ECR_URL=$(AWS_ACCOUNT_ID).dkr.ecr.$(AWS_REGION).amazonaws.com ECR_REPO_URL=$(ECR_URL)/$(ECR_REPO_NAME) -IMAGE=$(ECR_REPO_URL):$(IMAGE_TAG) +IMAGE=latest ECR_REPO_NAME=$(APP_NAME) -PREV_IMAGE_TAG=$$(git rev-parse HEAD~1) -IMAGE_TAG=$$(git rev-parse HEAD) +PREV_IMAGE_TAG=latest +IMAGE_TAG=latest tf_build_args=-var "image_tag=$(IMAGE_TAG)" DOCKER_SERVICES=$$(docker compose config --services | grep -v mlflow) @@ -152,7 +154,7 @@ docker_build: ## Build the docker container PREV_IMAGE="$(ECR_REPO_URL)-$$service:$(PREV_IMAGE_TAG)"; \ echo "Pulling previous image: $$PREV_IMAGE"; \ docker pull $$PREV_IMAGE; \ - docker compose build $$service; \ + DOCKER_DEFAULT_PLATFORM=linux/amd64 docker compose build $$service; \ else \ echo "Skipping $$service uses default image"; \ fi; \ diff --git a/django_app/poetry.lock b/django_app/poetry.lock index bd87f0d4b..28cff50d8 100644 --- a/django_app/poetry.lock +++ b/django_app/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "asgiref" @@ -1266,6 +1266,24 @@ files = [ [package.dependencies] Django = ">=3.0" +[[package]] +name = "django-staff-sso-client" +version = "4.3.0" +description = "Reusable Django app to facilitate gov.uk Staff Single Sign On" +optional = false +python-versions = "*" +files = [ + {file = "django_staff_sso_client-4.3.0-py3-none-any.whl", hash = "sha256:873279b74cc40517af6b5c6c043db74e66d3d4f147ed1495ec357ac26c14d6fa"}, + {file = "django_staff_sso_client-4.3.0.tar.gz", hash = "sha256:4f320c5c5da02a9da9f5da90b32749ff3a0ad0dcf51eb758fb85fd0e932b5261"}, +] + +[package.dependencies] +Django = ">=4.2.10,<6.0" +requests-oauthlib = "*" + +[package.extras] +test = ["build", "codecov", "flake8 (==4.0.1)", "pytest (==7.1.1)", "pytest-cov", "pytest-django", "raven", "requests-mock", "setuptools", "twine", "wheel"] + [[package]] name = "django-storages" version = "1.14.3" @@ -3505,4 +3523,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.11.2,<3.13" -content-hash = "c09c07df08240d35432e3140ff2d2700211e90bec468d157c6f33287a726f77e" +content-hash = "279ef1f6ec0fa10a985c56cec6303a8c33790873dbfe10ee11b364e08fbdb49b" diff --git a/django_app/pyproject.toml b/django_app/pyproject.toml index 577516e51..1a7ac0ff5 100644 --- a/django_app/pyproject.toml +++ b/django_app/pyproject.toml @@ -38,6 +38,7 @@ django-gov-notify = "^0.5.0" websockets = "^12.0" django-import-export = "^4.0" dataclasses-json = ">=0.6.7" +django-staff-sso-client = "^4.3.0" [tool.poetry.group.dev.dependencies] pytest = "^8.1.1" diff --git a/django_app/redbox_app/redbox_core/auth_views.py b/django_app/redbox_app/redbox_core/auth_views.py index 5c47e1af5..3938403da 100644 --- a/django_app/redbox_app/redbox_core/auth_views.py +++ b/django_app/redbox_app/redbox_core/auth_views.py @@ -5,6 +5,7 @@ from django.shortcuts import redirect, render from magic_link.models import MagicLink from requests import HTTPError +from django.conf import settings from redbox_app.redbox_core import email_handler, models from redbox_app.redbox_core.forms import SignInForm @@ -15,6 +16,8 @@ def sign_in_view(request: HttpRequest): if request.user.is_authenticated: return redirect("homepage") + if settings.LOGIN_METHOD == "sso": + return redirect("/auth/login/") if request.method == "POST": form = SignInForm(request.POST) if form.is_valid(): diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index 4495c9175..575ba8a73 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -8,10 +8,15 @@ from django.db import models from django.utils import timezone from django.utils.translation import gettext_lazy as _ -from django_use_email_as_username.models import BaseUser, BaseUserManager from jose import jwt from yarl import URL +if settings.LOGIN_METHOD == "sso": + from django.contrib.auth.base_user import BaseUserManager + from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin +else: + from django_use_email_as_username.models import BaseUser, BaseUserManager + logger = logging.getLogger(__name__) @@ -37,65 +42,55 @@ class BusinessUnit(UUIDPrimaryKeyBase): def __str__(self) -> str: # pragma: no cover return f"{self.name}" - -class User(BaseUser, UUIDPrimaryKeyBase): - class UserGrade(models.TextChoices): - AA = "AA", _("AA") - AO = "AO", _("AO") - DEPUTY_DIRECTOR = "DD", _("Deputy Director") - DIRECTOR = "D", _("Director") - DIRECTOR_GENERAL = "DG", _("Director General") - EO = "EO", _("EO") - G6 = "G6", _("G6") - G7 = "G7", _("G7") - HEO = "HEO", _("HEO") - PS = "PS", _("Permanent Secretary") - SEO = "SEO", _("SEO") - OT = "OT", _("Other") - - class Profession(models.TextChoices): - AN = "AN", _("Analysis") - CM = "CMC", _("Commercial") - COM = "COM", _("Communications") - CFIN = "CFIN", _("Corporate finance") - CF = "CF", _("Counter fraud") - DDT = "DDT", _("Digital, data and technology") - EC = "EC", _("Economics") - FIN = "FIN", _("Finance") - FEDG = "FEDG", _("Fraud, error, debts and grants") - HR = "HR", _("Human resources") - IA = "IA", _("Intelligence analysis") - IAUD = "IAUD", _("Internal audit") - IT = "IT", _("International trade") - KIM = "KIM", _("Knowledge and information management") - LG = "LG", _("Legal") - MD = "MD", _("Medical") - OP = "OP", _("Occupational psychology") - OD = "OD", _("Operational delivery") - OR = "OR", _("Operational research") - PL = "PL", _("Planning") - PI = "PI", _("Planning inspection") - POL = "POL", _("Policy") - PD = "PD", _("Project delivery") - PR = "PR", _("Property") - SE = "SE", _("Science and engineering") - SC = "SC", _("Security") - SR = "SR", _("Social research") - ST = "ST", _("Statistics") - TX = "TX", _("Tax") - VET = "VET", _("Veterinary") - OT = "OT", _("Other") - - username = None - verified = models.BooleanField(default=False, blank=True, null=True) - invited_at = models.DateTimeField(default=None, blank=True, null=True) - invite_accepted_at = models.DateTimeField(default=None, blank=True, null=True) - last_token_sent_at = models.DateTimeField(editable=False, blank=True, null=True) - password = models.CharField("password", max_length=128, blank=True, null=True) +class RedboxUserManager(BaseUserManager): + + use_in_migrations = True + + def _create_user(self, username, password, **extra_fields): + """Create and save a User with the given email and password.""" + if not username: + raise ValueError("The given email must be set") + #email = self.normalize_email(email) + User = self.model(email=email, **extra_fields) + User.set_password(password) + User.save(using=self._db) + return User + + def create_user(self, username, password=None, **extra_fields): + """Create and save a regular User with the given email and password.""" + extra_fields.setdefault("is_staff", False) + extra_fields.setdefault("is_superuser", False) + return self._create_user(username, password, **extra_fields) + + def create_superuser(self, username, password, **extra_fields): + """Create and save a SuperUser with the given email and password.""" + extra_fields.setdefault("is_staff", True) + extra_fields.setdefault("is_superuser", True) + + if extra_fields.get("is_staff") is not True: + raise ValueError("Superuser must have is_staff=True.") + if extra_fields.get("is_superuser") is not True: + raise ValueError("Superuser must have is_superuser=True.") + + return self._create_user(username, password, **extra_fields) + +class User(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): + username = models.EmailField(unique=True, default="default@default.co.uk") + password = models.CharField(default="fakepassword") + email = models.EmailField(unique=True) + first_name = models.CharField(max_length=48) + last_name = models.CharField(max_length=48) + is_staff = models.BooleanField(default=False) + is_active = models.BooleanField(default=True) + is_superuser = models.BooleanField(default=False) + date_joined = models.DateTimeField(default=timezone.now) business_unit = models.ForeignKey(BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL) - grade = models.CharField(null=True, blank=True, max_length=3, choices=UserGrade) - profession = models.CharField(null=True, blank=True, max_length=4, choices=Profession) - objects = BaseUserManager() + grade = models.CharField(null=True, blank=True, max_length=3) + profession = models.CharField(null=True, blank=True, max_length=4) + + USERNAME_FIELD = 'username' + REQUIRED_FIELDS = [] + objects = RedboxUserManager() def __str__(self) -> str: # pragma: no cover return f"{self.email}" @@ -108,7 +103,79 @@ def get_bearer_token(self) -> str: """the bearer token expected by the core-api""" user_uuid = str(self.id) bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) - return f"Bearer {bearer_token}" + return f"Bearer {bearer_token}" + +# class User(BaseUser, UUIDPrimaryKeyBase): +# class UserGrade(models.TextChoices): +# AA = "AA", _("AA") +# AO = "AO", _("AO") +# DEPUTY_DIRECTOR = "DD", _("Deputy Director") +# DIRECTOR = "D", _("Director") +# DIRECTOR_GENERAL = "DG", _("Director General") +# EO = "EO", _("EO") +# G6 = "G6", _("G6") +# G7 = "G7", _("G7") +# HEO = "HEO", _("HEO") +# PS = "PS", _("Permanent Secretary") +# SEO = "SEO", _("SEO") +# OT = "OT", _("Other") + +# class Profession(models.TextChoices): +# AN = "AN", _("Analysis") +# CM = "CMC", _("Commercial") +# COM = "COM", _("Communications") +# CFIN = "CFIN", _("Corporate finance") +# CF = "CF", _("Counter fraud") +# DDT = "DDT", _("Digital, data and technology") +# EC = "EC", _("Economics") +# FIN = "FIN", _("Finance") +# FEDG = "FEDG", _("Fraud, error, debts and grants") +# HR = "HR", _("Human resources") +# IA = "IA", _("Intelligence analysis") +# IAUD = "IAUD", _("Internal audit") +# IT = "IT", _("International trade") +# KIM = "KIM", _("Knowledge and information management") +# LG = "LG", _("Legal") +# MD = "MD", _("Medical") +# OP = "OP", _("Occupational psychology") +# OD = "OD", _("Operational delivery") +# OR = "OR", _("Operational research") +# PL = "PL", _("Planning") +# PI = "PI", _("Planning inspection") +# POL = "POL", _("Policy") +# PD = "PD", _("Project delivery") +# PR = "PR", _("Property") +# SE = "SE", _("Science and engineering") +# SC = "SC", _("Security") +# SR = "SR", _("Social research") +# ST = "ST", _("Statistics") +# TX = "TX", _("Tax") +# VET = "VET", _("Veterinary") +# OT = "OT", _("Other") + +# username = None +# verified = models.BooleanField(default=False, blank=True, null=True) +# invited_at = models.DateTimeField(default=None, blank=True, null=True) +# invite_accepted_at = models.DateTimeField(default=None, blank=True, null=True) +# last_token_sent_at = models.DateTimeField(editable=False, blank=True, null=True) +# password = models.CharField("password", max_length=128, blank=True, null=True) +# business_unit = models.ForeignKey(BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL) +# grade = models.CharField(null=True, blank=True, max_length=3, choices=UserGrade) +# profession = models.CharField(null=True, blank=True, max_length=4, choices=Profession) +# objects = BaseUserManager() + +# def __str__(self) -> str: # pragma: no cover +# return f"{self.email}" + +# def save(self, *args, **kwargs): +# self.email = self.email.lower() +# super().save(*args, **kwargs) + +# def get_bearer_token(self) -> str: +# """the bearer token expected by the core-api""" +# user_uuid = str(self.id) +# bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) +# return f"Bearer {bearer_token}" class StatusEnum(models.TextChoices): diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index b68ed4b36..2daf118c3 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -4,6 +4,7 @@ from pathlib import Path import environ +from django.urls import reverse_lazy import sentry_sdk from dotenv import load_dotenv from import_export.formats.base_formats import CSV @@ -19,6 +20,8 @@ SECRET_KEY = env.str("DJANGO_SECRET_KEY") ENVIRONMENT = Environment[env.str("ENVIRONMENT").upper()] WEBSOCKET_SCHEME = "ws" if ENVIRONMENT.is_test else "wss" +LOGIN_METHOD = env.str("LOGIN_METHOD") + # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool("DEBUG") @@ -65,6 +68,9 @@ "import_export", ] +if LOGIN_METHOD == "sso": + INSTALLED_APPS.append("authbroker_client") + MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", "whitenoise.middleware.WhiteNoiseMiddleware", @@ -117,6 +123,9 @@ "django.contrib.auth.backends.ModelBackend", ] +if LOGIN_METHOD == "sso": + AUTHENTICATION_BACKENDS.append("authbroker_client.backends.AuthbrokerBackend") + AUTH_PASSWORD_VALIDATORS = [ { "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator", @@ -144,8 +153,8 @@ SITE_ID = 1 AUTH_USER_MODEL = "redbox_core.User" ACCOUNT_EMAIL_VERIFICATION = "none" -LOGIN_REDIRECT_URL = "homepage" -LOGIN_URL = "sign-in" +# LOGIN_REDIRECT_URL = "homepage" +# LOGIN_URL = "sign-in" # CSP settings https://content-security-policy.com/ # https://django-csp.readthedocs.io/ @@ -232,7 +241,7 @@ ALLOWED_HOSTS = ENVIRONMENT.hosts else: LOCALHOST = socket.gethostbyname(socket.gethostname()) - ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts] + ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts,"redbox-sandbox.uktrade.digital","dbt-default-alb-1550180991.eu-west-2.elb.amazonaws.com"] if not ENVIRONMENT.is_local: SENTRY_DSN = env.str("SENTRY_DSN", None) @@ -331,3 +340,16 @@ FILE_EXPIRY_IN_SECONDS = env.int("FILE_EXPIRY_IN_DAYS") * 24 * 60 * 60 SUPERUSER_EMAIL = env.str("SUPERUSER_EMAIL", None) MAX_SECURITY_CLASSIFICATION = Classification[env.str("MAX_SECURITY_CLASSIFICATION")] + +if LOGIN_METHOD == "sso": + AUTHBROKER_URL = env.str("AUTHBROKER_URL") + AUTHBROKER_CLIENT_ID = env.str("AUTHBROKER_CLIENT_ID") + AUTHBROKER_CLIENT_SECRET = env.str("AUTHBROKER_CLIENT_SECRET") + LOGIN_URL = reverse_lazy("authbroker_client:login") + LOGIN_REDIRECT_URL = reverse_lazy("homepage") +elif LOGIN_METHOD == "magic_link": + LOGIN_REDIRECT_URL = "homepage" + LOGIN_URL = "sign-in" +else: + LOGIN_REDIRECT_URL = "homepage" + LOGIN_URL = "sign-in" \ No newline at end of file diff --git a/django_app/redbox_app/urls.py b/django_app/redbox_app/urls.py index 848c9c0e9..5ff06a671 100644 --- a/django_app/redbox_app/urls.py +++ b/django_app/redbox_app/urls.py @@ -17,6 +17,9 @@ path("signed-out/", auth_views.signed_out_view, name="signed-out"), ] +if settings.LOGIN_METHOD == "sso": + auth_urlpatterns.append(path("auth/", include("authbroker_client.urls"))) + info_urlpatterns = [ path("privacy-notice/", info_views.privacy_notice_view, name="privacy-notice"), path( diff --git a/django_app/start.sh b/django_app/start.sh index b4219c68e..4c29439cd 100644 --- a/django_app/start.sh +++ b/django_app/start.sh @@ -1,5 +1,6 @@ #!/bin/sh +venv/bin/django-admin makemigrations venv/bin/django-admin migrate venv/bin/django-admin collectstatic --noinput venv/bin/django-admin compress --force --engine jinja2 diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 2716eba79..8ad2416b7 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -110,12 +110,12 @@ class ElasticLocalSettings(BaseModel): model_config = SettingsConfigDict(frozen=True) - host: str = "elasticsearch" + host: str = "elasticsearch.internal" port: int = 9200 scheme: str = "http" user: str = "elastic" - version: str = "8.11.0" - password: str = "redboxpass" + version: str = "8.14.0" + password: str = "IngKKFLDMtGRF5Xb1L2Z" subscription_level: str = "basic" @@ -150,7 +150,7 @@ class Settings(BaseSettings): partition_strategy: Literal["auto", "fast", "ocr_only", "hi_res"] = "fast" clustering_strategy: Literal["full"] | None = None - elastic: ElasticCloudSettings | ElasticLocalSettings = ElasticLocalSettings() + elastic: ElasticLocalSettings = ElasticLocalSettings() elastic_root_index: str = "redbox-data" kibana_system_password: str = "redboxpass" From ed4a0e4dca9fd87c3642bf7c6a1e25a6107bf473 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 14:28:01 +0100 Subject: [PATCH 005/153] feat:make elastic host and password configurable --- redbox-core/redbox/models/settings.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 8ad2416b7..53c4b1df3 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -110,13 +110,13 @@ class ElasticLocalSettings(BaseModel): model_config = SettingsConfigDict(frozen=True) - host: str = "elasticsearch.internal" - port: int = 9200 - scheme: str = "http" - user: str = "elastic" - version: str = "8.14.0" - password: str = "IngKKFLDMtGRF5Xb1L2Z" - subscription_level: str = "basic" + elastic_host: str | None = None + elastic_port: int = 9200 + elastic_scheme: str = "http" + elastic_user: str = "elastic" + elastic_version: str = "8.14.0" + elastic_password: str | None = None + elastic_subscription_level: str = "basic" class ElasticCloudSettings(BaseModel): @@ -192,12 +192,12 @@ def elasticsearch_client(self) -> Elasticsearch: return Elasticsearch( hosts=[ { - "host": self.elastic.host, - "port": self.elastic.port, - "scheme": self.elastic.scheme, + "host": self.elastic.elastic_host, + "port": self.elastic.elastic_port, + "scheme": self.elastic.elastic_scheme, } ], - basic_auth=(self.elastic.user, self.elastic.password), + basic_auth=(self.elastic.elastic_user, self.elastic.elastic_password), ) log.info("Connecting to Elastic Cloud Cluster") From 05e7afa882b7055bb2e460bf56ad7441eb3e73a7 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 15:47:04 +0100 Subject: [PATCH 006/153] fix: host updated to elastic_host --- redbox-core/redbox/models/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 53c4b1df3..7114df747 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -188,7 +188,7 @@ class Settings(BaseSettings): def elasticsearch_client(self) -> Elasticsearch: if isinstance(self.elastic, ElasticLocalSettings): log.info("Connecting to self managed Elasticsearch") - log.info("Elasticsearch host = %s", self.elastic.host) + log.info("Elasticsearch host = %s", self.elastic.elastic_host) return Elasticsearch( hosts=[ { From 1a170bfb5ff872ddf5158f11f1be8d06016894ae Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 16:22:39 +0100 Subject: [PATCH 007/153] fix: update elastic_host and elastic_password --- redbox-core/redbox/models/settings.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 7114df747..90a19fe32 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -5,6 +5,11 @@ from elasticsearch import Elasticsearch from pydantic import BaseModel from pydantic_settings import BaseSettings, SettingsConfigDict +import environ + +load_dotenv() + +env = environ.Env() logging.basicConfig(level=logging.INFO) log = logging.getLogger() @@ -110,12 +115,12 @@ class ElasticLocalSettings(BaseModel): model_config = SettingsConfigDict(frozen=True) - elastic_host: str | None = None + elastic_host: str = env.str("ELASTIC_HOST") elastic_port: int = 9200 elastic_scheme: str = "http" elastic_user: str = "elastic" elastic_version: str = "8.14.0" - elastic_password: str | None = None + elastic_password: str = env.str("ELASTIC__PASSWORD") elastic_subscription_level: str = "basic" From 43fb6d3c04dc5f9dc9209df6d0a2ca649719e89c Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 16:37:28 +0100 Subject: [PATCH 008/153] fix: remove default values in env files --- .env.django | 4 ++-- .env.example | 4 ++-- .env.integration | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/.env.django b/.env.django index 8aa7ddaed..c8916443c 100644 --- a/.env.django +++ b/.env.django @@ -10,10 +10,10 @@ DEV_MODE=true # === Database === -ELASTIC__HOST=elasticsearch +ELASTIC__HOST= ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD=redboxpass +ELASTIC__PASSWORD= ELASTIC__PORT=9200 ELASTIC__SCHEME=http diff --git a/.env.example b/.env.example index 9a78c01e5..2eed6fe79 100644 --- a/.env.example +++ b/.env.example @@ -10,10 +10,10 @@ DEV_MODE=true # === Database === -ELASTIC__HOST=elasticsearch +ELASTIC__HOST= ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD=redboxpass +ELASTIC__PASSWORD= ELASTIC__PORT=9200 ELASTIC__SCHEME=http ELASTIC__SUBSCRIPTION_LEVEL=basic diff --git a/.env.integration b/.env.integration index e3c07b55d..9eb69b9d0 100644 --- a/.env.integration +++ b/.env.integration @@ -5,10 +5,10 @@ LLM_MAX_TOKENS=1024 # === Database === -ELASTIC__HOST=elasticsearch +ELASTIC__HOST= ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD=redboxpass +ELASTIC__PASSWORD= ELASTIC__PORT=9200 ELASTIC__SCHEME=http ELASTIC__SUBSCRIPTION_LEVEL=basic From ad702b1ef8b7c539ae7930703e521d77bf6f20fe Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 22:27:30 +0100 Subject: [PATCH 009/153] fix: revert environment variable changes --- .env.django | 4 ++-- .env.example | 4 ++-- .env.integration | 4 ++-- redbox-core/redbox/models/settings.py | 29 +++++++++++---------------- 4 files changed, 18 insertions(+), 23 deletions(-) diff --git a/.env.django b/.env.django index c8916443c..8aa7ddaed 100644 --- a/.env.django +++ b/.env.django @@ -10,10 +10,10 @@ DEV_MODE=true # === Database === -ELASTIC__HOST= +ELASTIC__HOST=elasticsearch ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD= +ELASTIC__PASSWORD=redboxpass ELASTIC__PORT=9200 ELASTIC__SCHEME=http diff --git a/.env.example b/.env.example index 2eed6fe79..9a78c01e5 100644 --- a/.env.example +++ b/.env.example @@ -10,10 +10,10 @@ DEV_MODE=true # === Database === -ELASTIC__HOST= +ELASTIC__HOST=elasticsearch ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD= +ELASTIC__PASSWORD=redboxpass ELASTIC__PORT=9200 ELASTIC__SCHEME=http ELASTIC__SUBSCRIPTION_LEVEL=basic diff --git a/.env.integration b/.env.integration index 9eb69b9d0..e3c07b55d 100644 --- a/.env.integration +++ b/.env.integration @@ -5,10 +5,10 @@ LLM_MAX_TOKENS=1024 # === Database === -ELASTIC__HOST= +ELASTIC__HOST=elasticsearch ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD= +ELASTIC__PASSWORD=redboxpass ELASTIC__PORT=9200 ELASTIC__SCHEME=http ELASTIC__SUBSCRIPTION_LEVEL=basic diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 90a19fe32..aa5f31610 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -5,11 +5,7 @@ from elasticsearch import Elasticsearch from pydantic import BaseModel from pydantic_settings import BaseSettings, SettingsConfigDict -import environ -load_dotenv() - -env = environ.Env() logging.basicConfig(level=logging.INFO) log = logging.getLogger() @@ -109,19 +105,18 @@ class AISettings(BaseModel): reduce_system_prompt: str = REDUCE_SYSTEM_PROMPT reduce_question_prompt: str = REDUCE_QUESTION_PROMPT - class ElasticLocalSettings(BaseModel): """settings required for a local/ec2 instance of elastic""" model_config = SettingsConfigDict(frozen=True) - elastic_host: str = env.str("ELASTIC_HOST") - elastic_port: int = 9200 - elastic_scheme: str = "http" - elastic_user: str = "elastic" - elastic_version: str = "8.14.0" - elastic_password: str = env.str("ELASTIC__PASSWORD") - elastic_subscription_level: str = "basic" + host: str = "elasticsearch" + port: int = 9200 + scheme: str = "http" + user: str = "elastic" + version: str = "8.11.0" + password: str = "redboxpass" + subscription_level: str = "basic" class ElasticCloudSettings(BaseModel): @@ -193,16 +188,16 @@ class Settings(BaseSettings): def elasticsearch_client(self) -> Elasticsearch: if isinstance(self.elastic, ElasticLocalSettings): log.info("Connecting to self managed Elasticsearch") - log.info("Elasticsearch host = %s", self.elastic.elastic_host) + log.info("Elasticsearch host = %s", self.elastic.host) return Elasticsearch( hosts=[ { - "host": self.elastic.elastic_host, - "port": self.elastic.elastic_port, - "scheme": self.elastic.elastic_scheme, + "host": self.elastic.host, + "port": self.elastic.port, + "scheme": self.elastic.scheme, } ], - basic_auth=(self.elastic.elastic_user, self.elastic.elastic_password), + basic_auth=(self.elastic.user, self.elastic.password), ) log.info("Connecting to Elastic Cloud Cluster") From bffaf951adf092eae812f339f0d18a6f9c706cb9 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 10 Jul 2024 10:11:19 +0100 Subject: [PATCH 010/153] add hosts env variable --- django_app/redbox_app/settings.py | 31 ++++++++++++++++++++----------- 1 file changed, 20 insertions(+), 11 deletions(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 2daf118c3..3606c5df7 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -4,15 +4,14 @@ from pathlib import Path import environ -from django.urls import reverse_lazy import sentry_sdk +from django.urls import reverse_lazy from dotenv import load_dotenv from import_export.formats.base_formats import CSV +from redbox_app.setting_enums import Classification, Environment from sentry_sdk.integrations.django import DjangoIntegration from storages.backends import s3boto3 -from redbox_app.setting_enums import Classification, Environment - load_dotenv() env = environ.Env() @@ -22,6 +21,11 @@ WEBSOCKET_SCHEME = "ws" if ENVIRONMENT.is_test else "wss" LOGIN_METHOD = env.str("LOGIN_METHOD") +if env.str("HOSTS"): + env_hosts = env.str("HOSTS", "").split(",") +else: + env_hosts = ENVIRONMENT.hosts + # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool("DEBUG") @@ -153,8 +157,6 @@ SITE_ID = 1 AUTH_USER_MODEL = "redbox_core.User" ACCOUNT_EMAIL_VERIFICATION = "none" -# LOGIN_REDIRECT_URL = "homepage" -# LOGIN_URL = "sign-in" # CSP settings https://content-security-policy.com/ # https://django-csp.readthedocs.io/ @@ -176,7 +178,7 @@ ) CSP_STYLE_SRC = ("'self'",) CSP_FRAME_ANCESTORS = ("'none'",) -CSP_CONNECT_SRC = ["'self'", f"wss://{ENVIRONMENT.hosts[0]}/ws/chat/", "plausible.io"] +CSP_CONNECT_SRC = ["'self'", f"wss://{env_hosts[0]}/ws/chat/", "plausible.io"] # https://pypi.org/project/django-permissions-policy/ PERMISSIONS_POLICY: dict[str, list] = { @@ -238,10 +240,13 @@ SESSION_COOKIE_SECURE = True if ENVIRONMENT.is_test: - ALLOWED_HOSTS = ENVIRONMENT.hosts + ALLOWED_HOSTS = env_hosts else: LOCALHOST = socket.gethostbyname(socket.gethostname()) - ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts,"redbox-sandbox.uktrade.digital","dbt-default-alb-1550180991.eu-west-2.elb.amazonaws.com"] + ALLOWED_HOSTS = [ + LOCALHOST, + *env_hosts, + ] if not ENVIRONMENT.is_local: SENTRY_DSN = env.str("SENTRY_DSN", None) @@ -273,7 +278,9 @@ LOGGING = { "version": 1, "disable_existing_loggers": False, - "formatters": {"verbose": {"format": "%(asctime)s %(levelname)s %(module)s: %(message)s"}}, + "formatters": { + "verbose": {"format": "%(asctime)s %(levelname)s %(module)s: %(message)s"} + }, "handlers": { "file": { "level": LOG_LEVEL, @@ -314,7 +321,9 @@ elif EMAIL_BACKEND_TYPE == "GOVUKNOTIFY": EMAIL_BACKEND = "django_gov_notify.backends.NotifyEmailBackend" GOVUK_NOTIFY_API_KEY = env.str("GOVUK_NOTIFY_API_KEY") - GOVUK_NOTIFY_PLAIN_EMAIL_TEMPLATE_ID = env.str("GOVUK_NOTIFY_PLAIN_EMAIL_TEMPLATE_ID") + GOVUK_NOTIFY_PLAIN_EMAIL_TEMPLATE_ID = env.str( + "GOVUK_NOTIFY_PLAIN_EMAIL_TEMPLATE_ID" + ) else: message = f"Unknown EMAIL_BACKEND_TYPE of {EMAIL_BACKEND_TYPE}" raise ValueError(message) @@ -352,4 +361,4 @@ LOGIN_URL = "sign-in" else: LOGIN_REDIRECT_URL = "homepage" - LOGIN_URL = "sign-in" \ No newline at end of file + LOGIN_URL = "sign-in" From 63e872410cafc463505f9b4d8a6e58739bfb3734 Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Tue, 9 Jul 2024 20:53:17 +0100 Subject: [PATCH 011/153] hot fix deployment Prod fix: rebase against dev to incorporate hosts --- django_app/redbox_app/settings.py | 1 + redbox-core/redbox/models/settings.py | 1 - 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 3606c5df7..4e753bf09 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -243,6 +243,7 @@ ALLOWED_HOSTS = env_hosts else: LOCALHOST = socket.gethostbyname(socket.gethostname()) + ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts,"redbox-trial.uktrade.digital","dbt-default-alb-1021417632.eu-west-2.elb.amazonaws.com"] ALLOWED_HOSTS = [ LOCALHOST, *env_hosts, diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index aa5f31610..ab4c0c505 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -6,7 +6,6 @@ from pydantic import BaseModel from pydantic_settings import BaseSettings, SettingsConfigDict - logging.basicConfig(level=logging.INFO) log = logging.getLogger() From be7401578ae383afdd24cfe5a31bc41dbbc786fd Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Wed, 10 Jul 2024 12:42:25 +0100 Subject: [PATCH 012/153] feat: modify HTML to reflect DBT-specific content --- .../templates/accessibility-statement.html | 71 +++++------ django_app/redbox_app/templates/base.html | 4 +- .../redbox_app/templates/documents.html | 6 + django_app/redbox_app/templates/homepage.html | 4 +- .../redbox_app/templates/privacy-notice.html | 117 +++++++++--------- django_app/redbox_app/templates/support.html | 76 ++++++------ 6 files changed, 138 insertions(+), 140 deletions(-) diff --git a/django_app/redbox_app/templates/accessibility-statement.html b/django_app/redbox_app/templates/accessibility-statement.html index 2512a1dc8..f7594f893 100644 --- a/django_app/redbox_app/templates/accessibility-statement.html +++ b/django_app/redbox_app/templates/accessibility-statement.html @@ -4,43 +4,40 @@ {% block content %} -
-
+
+

Accessibility statement for Redbox Copilot

+ +

This accessibility statement applies to Redbox Copilot.

+

This website is run by the Department for Business and Trade. Whilst the website is currently only being trialed, overtime we may want as many people as possible to be able to use this website. For example, that means you should be able to:

+
    +
  • change colours, contrast levels and fonts
    • +
  • zoom in up to 300% without the text spilling off the screen
    • +
  • navigate most of the website using just a keyboard
    • +
  • navigate most of the website using speech recognition software
    • +
  • listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)
    • +
+

We've also made the website text as simple as possible to understand.

+

AbilityNet has advice on making your device easier to use if you have a disability.

+ +

Feedback and contact information

+

If you need information on this website in a different format like accessible PDF, large print, easy read, audio recording or braille, email {{contact_email}}

+

We'll consider your request and get back to you in 14 days.

+ +

Reporting accessibility problems with this website

+

We're always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we're not meeting accessibility requirements, contact the team at {{contact_email}}.

+ +

Enforcement procedure

+

The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the "accessibility regulations"). If you're not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).

+ +

Technical information about this website's accessibility

+

The Department for Business and Trade is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.

+ +

Compliance status

+

This website is fully compliant with the Web Content Accessibility Guidelines version 2.2 AA standard.

+ +

Preparation of this accessibility statement

+

This statement was prepared on 27th February 2024. It was last reviewed on 21st June 2024.

-

Accessibility statement for Redbox

- -

This accessibility statement applies to Redbox.

-

This website is run by the Cabinet Office. We want as many people as possible to be able to use this website. For example, that means you should be able to:

-
    -
  • change colours, contrast levels and fonts
    • -
  • zoom in up to 300% without the text spilling off the screen
    • -
  • navigate most of the website using just a keyboard
    • -
  • navigate most of the website using speech recognition software
    • -
  • listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)
    • -
-

We've also made the website text as simple as possible to understand.

-

AbilityNet has advice on making your device easier to use if you have a disability.

- -

Feedback and contact information

-

If you need information on this website in a different format like accessible PDF, large print, easy read, audio recording or braille, email {{contact_email}}

-

We'll consider your request and get back to you in 14 days.

- -

Reporting accessibility problems with this website

-

We're always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we're not meeting accessibility requirements, contact the team at {{contact_email}}.

- -

Enforcement procedure

-

The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the "accessibility regulations"). If you're not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).

- -

Technical information about this website's accessibility

-

Cabinet Office is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.

- -

Compliance status

-

This website is fully compliant with the Web Content Accessibility Guidelines version 2.2 AA standard.

- -

Preparation of this accessibility statement

-

This statement was prepared on 27th February 2024. It was last reviewed on 12th April 2024.

- -
-{% endblock %} +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index 87f08bcfe..a76e763b2 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -57,7 +57,7 @@ {% set menu_items = [ {"text": "Documents", "href": url('documents')}, {"text": "Chats", "href": url('chats')}, - {"text": "My details", "href": url('demographics')}, + {"text": "Sign out", "href": url('signed-out')} ] %} {% else %} @@ -115,7 +115,7 @@ - +
diff --git a/django_app/redbox_app/templates/documents.html b/django_app/redbox_app/templates/documents.html index a4eb97601..5ccfcfc68 100644 --- a/django_app/redbox_app/templates/documents.html +++ b/django_app/redbox_app/templates/documents.html @@ -40,6 +40,12 @@

Your documents

Manage documents to use with your Redbox.

Redbox generates a response using only the documents you upload. This is different to other Large Language Models (LLM) such as ChatGPT and Claude.

+

Redbox can take documents you upload and use them in tandem with the AI to perform a number of functions:

+
    +
  • chat directly with a document through asking questions
    • +
  • summarise any document
    • +
+

Use @chat when sending a message to talk directly to the AI, otherwise Redbox will default to interacting with your documents.

{#
diff --git a/django_app/redbox_app/templates/homepage.html b/django_app/redbox_app/templates/homepage.html index df071c32d..4cf3899be 100644 --- a/django_app/redbox_app/templates/homepage.html +++ b/django_app/redbox_app/templates/homepage.html @@ -8,8 +8,8 @@
-

Ask any question of documents in your Redbox

-

Use Artificial Intelligence (AI) to get insights from your personal document set. You can use up to, and including, {{ security }} documents.

+

Use Artificial Intelligence (AI) to interact with Official level documents from your own document set.

+

You may summarise documents, ask questions related to one or more documents, and chat directly with the AI to assist you in your work. You can use up to, and including, Official documents.

{% if not request.user.is_authenticated %} {{ govukButton( diff --git a/django_app/redbox_app/templates/privacy-notice.html b/django_app/redbox_app/templates/privacy-notice.html index 14657b0f3..5f2b4144f 100644 --- a/django_app/redbox_app/templates/privacy-notice.html +++ b/django_app/redbox_app/templates/privacy-notice.html @@ -5,66 +5,63 @@ {% block content %} -
-
- -

Privacy notice for Redbox

-
-

This notice sets out how we will use your personal data, and your rights. It is made under Articles 13 and/or 14 of the UK General Data Protection Regulation (UK GDPR).

- -

Your data

-

Purpose

-

The purposes for which we are processing your personal data are:

-
    -
  • enabling login to the platform
    • -
  • information will be aggregated and used for anonymous further analysis
    • -
- -

The data

-

We will process the following personal data:

-
    -
  • organisational email address
    • -
- - -

Legal basis of processing

-

The legal basis for processing your personal data is:

-
    -
  • data subject consents
    • -
- -

Recipients

-

Your personal data will be shared by us with analysts/researchers within the Cabinet Office if you have consented to be contacted further about Redbox.

-

As your personal data will be stored on our IT infrastructure it will also be shared with our data processors who provide email, and document management and storage services.

- -

Retention

-

Your personal data will be retained for 12 months after account inactivity. At that point we will delete your email address, depersonalising the data we hold. If you have provided us consent to contact you, we will retain your email until and continue sharing it with evaluators so they can conduct research on the long term impact of Redbox.

- -

Your rights

-

You have the right to request information about how your personal data are processed, and to request a copy of that personal data.

-

You have the right to request that any inaccuracies in your personal data are rectified without delay.

-

You have the right to request that any incomplete personal data are completed, including by means of a supplementary statement.

-

You have the right to request that your personal data are erased if there is no longer a justification for them to be processed.

-

You have the right in certain circumstances (for example, where accuracy is contested) to request that the processing of your personal data is restricted.

-

You have the right to object to the processing of your personal data where it is processed for direct marketing purposes.

-

You have the right to withdraw consent to the processing of your personal data at any time.

- -

International transfers

-

As your personal data is stored on our IT infrastructure, and shared with our data processors, it may be transferred and stored securely outside the UK. Where that is the case it will be subject to equivalent legal protection through an adequacy decision or reliance on Standard Contractual Clauses.

- -

Complaints

-

If you consider that your personal data has been misused or mishandled, you may make a complaint to the Information Commissioner, who is an independent regulator. The Information Commissioner can be contacted at: Information Commissioner's Office, Wycliffe House, Water Lane, Wilmslow, Cheshire, SK9 5AF, or 0303 123 1113, or icocasework@ico.org.uk. Any complaint to the Information Commissioner is without prejudice to your right to seek redress through the courts.

- -

Contact details

-

The data controller for your personal data is the Cabinet Office. The contact details for the data controller are: Cabinet Office, 70 Whitehall, London, SW1A 2AS, or 0207 276 1234, or publiccorrespondence@cabinetoffice.gov.uk.

-

The contact details for the data controller's Data Protection Officer are: dpo@cabinetoffice.gov.uk.

-

The Data Protection Officer provides independent advice and monitoring of Cabinet Office's use of personal information.

- -

Changes to this notice

-

We may change this privacy notice. When we make changes to this notice, the "last updated" date at the bottom of this page will also change. Any changes to this privacy notice will apply to you and your data immediately. If these changes affect how your personal data is processed, Cabinet Office will take reasonable steps to make sure you know.

-

Last updated: 16th April 2024

- +
+

Privacy notice for Redbox Copilot

+
+

This notice sets out how we will use your personal data, and your rights. It is made under Articles 13 and/or 14 of the UK General Data Protection Regulation (UK GDPR).

+ +

Your data

+

Purpose

+

The purposes for which we are processing your personal data are:

+
    +
  • enabling login to the platform
    • +
  • information will be aggregated and used for anonymous further analysis
    • +
+ +

The data

+

We will process the following personal data:

+
    +
  • organisational email address
    • +
+ + +

Legal basis of processing

+

The legal basis for processing your personal data is:

+
    +
  • data subject consents
    • +
+ +

Recipients

+

Your personal data will be shared by us with analysts/researchers within the Department for Business and Trade if you have consented to be contacted further about Redbox Copilot.

+

As your personal data will be stored on our IT infrastructure it will also be shared with our data processors who provide email, and document management and storage services.

+ +

Retention

+

Your personal data will be retained for 12 months after account inactivity. At that point we will delete your email address, depersonalising the data we hold. If you have provided us consent to contact you, we will retain your email until and continue sharing it with evaluators so they can conduct research on the long term impact of Redbox Copilot.

+ +

Your rights

+

You have the right to request information about how your personal data are processed, and to request a copy of that personal data.

+

You have the right to request that any inaccuracies in your personal data are rectified without delay.

+

You have the right to request that any incomplete personal data are completed, including by means of a supplementary statement.

+

You have the right to request that your personal data are erased if there is no longer a justification for them to be processed.

+

You have the right in certain circumstances (for example, where accuracy is contested) to request that the processing of your personal data is restricted.

+

You have the right to object to the processing of your personal data where it is processed for direct marketing purposes.

+

You have the right to withdraw consent to the processing of your personal data at any time.

+ +

International transfers

+

As your personal data is stored on our IT infrastructure, and shared with our data processors, it may be transferred and stored securely outside the UK. Where that is the case it will be subject to equivalent legal protection through an adequacy decision or reliance on Standard Contractual Clauses.

+ +

Complaints

+

If you consider that your personal data has been misused or mishandled, you may make a complaint to the Information Commissioner, who is an independent regulator. The Information Commissioner can be contacted at: Information Commissioner's Office, Wycliffe House, Water Lane, Wilmslow, Cheshire, SK9 5AF, or 0303 123 1113, or icocasework@ico.org.uk. Any complaint to the Information Commissioner is without prejudice to your right to seek redress through the courts.

+ +

Contact details

+

If you have any questions about this privacy notice or how we handle your personal information, you can also write to us at: {{contact_email}}

+

The Department for Business and Trade are registered as a Data Controller under the General Data Protection Regulation and Data Protection Act 2018, and are based at: Department for Business and Trade, Old Admiralty Building, Admiralty Place, London, SW1A 2DY

+ + +

Changes to this notice

+

We may change this privacy notice. When we make changes to this notice, the "last updated" date at the bottom of this page will also change. Any changes to this privacy notice will apply to you and your data immediately. If these changes affect how your personal data is processed, Cabinet Office will take reasonable steps to make sure you know.

+

Last updated: 21st June 2024

-{% endblock %} +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/support.html b/django_app/redbox_app/templates/support.html index acbf4d170..b7b67b740 100644 --- a/django_app/redbox_app/templates/support.html +++ b/django_app/redbox_app/templates/support.html @@ -4,58 +4,56 @@ {% block content %} -
-
+
-

Support

+

Support

- {# -

User guide

- -

You can download the User Guide (PDF, 1.1MB), a step-by-step guide to signing in and using your account.

+ {# +

User guide

+ +

You can download the User Guide (PDF, 1.1MB), a step-by-step guide to signing in and using your account.

-

Accessing Redbox

-

You can access your Redbox account by visiting . You'll need to type your work email address in the box provided and select the submit button.

- #} +

Accessing Redbox Copilot

+

You can access your Redbox Copilot account by visiting . You'll need to type your work email address in the box provided and select the submit button.

+ #} -

Signing in

-

If you're having trouble signing in to the Redbox platform, check that:

+

Signing in

+

If you're having trouble signing in to the Redbox Copilot platform, check that:

-
    -
  • you're using your work email address
    • -
  • you've typed your work email address correctly
    • -
+
    +
  • you're using your work email address
    • +
  • you've typed your work email address correctly
    • +
-

You should check your junk or spam folder for an email from Redbox.

+

You should check your junk or spam folder for an email from Redbox Copilot.

-

If you're still having trouble then you can contact us using the details at the bottom of this page.

+

If you're still having trouble then you can contact us using the details at the bottom of this page.

- {# -

Email address not allowed

-

If you see the error message: "Currently you need a Civil Service email address to register", contact us using the details at the bottom of this page and include the name of your organisation.

+ {# +

Email address not allowed

+

If you see the error message: "Currently you need a Civil Service email address to register", contact us using the details at the bottom of this page and include the name of your organisation.

-

Can’t find my government department

-

If you can’t find the department you belong to when you are signing in for the first time then go to the bottom of the dropdown list and if you are:

-
    -
  • a civil servant then choose: Other - Civil Servant
    • -
  • a public servant then choose: Other - Public Servant
    • -
  • not sure then choose: Other
    • -
+

Can’t find my government department

+

If you can’t find the department you belong to when you are signing in for the first time then go to the bottom of the dropdown list and if you are:

+
    +
  • a civil servant then choose: Other - Civil Servant
    • +
  • a public servant then choose: Other - Public Servant
    • +
  • not sure then choose: Other
    • +
-

Can’t find my grade

-

If the grades shown do not fit with your role then either choose the one that is equivalent to your role or select ‘Other’.

- #} +

Can’t find my grade

+

If the grades shown do not fit with your role then either choose the one that is equivalent to your role or select ‘Other’.

+ #} -

Bug or site vulnerability

-

If you've found an issue or a vulnerability, contact us using the details at the bottom of this page including as much information as possible.

+

Bug or site vulnerability

+

If you've found an issue or a vulnerability, contact us using the details at the bottom of this page including as much information as possible.

-

Website not loading

-

If the website is not loading, please close the browser tab and try again later.

+

Website not loading

+

If the website is not loading, please close the browser tab and try again later.

-

Contact us

-

If you've read the information above but haven't been able to find a solution to your problem, please email us at {{contact_email}} including as much information as possible.

+

Contact us

+

If you've read the information above but haven't been able to find a solution to your problem, please email us at {{contact_email}} including as much information as possible.

-
-{% endblock %} +{% endblock %} \ No newline at end of file From 6cd060fdaaa7bc0cdd98d58c71e4333059078d77 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Wed, 10 Jul 2024 13:31:12 +0100 Subject: [PATCH 013/153] fix: minor modifications to bring into line with dev --- django_app/redbox_app/settings.py | 1 - redbox-core/redbox/models/settings.py | 1 + 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 4e753bf09..3606c5df7 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -243,7 +243,6 @@ ALLOWED_HOSTS = env_hosts else: LOCALHOST = socket.gethostbyname(socket.gethostname()) - ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts,"redbox-trial.uktrade.digital","dbt-default-alb-1021417632.eu-west-2.elb.amazonaws.com"] ALLOWED_HOSTS = [ LOCALHOST, *env_hosts, diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index ab4c0c505..aa5f31610 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -6,6 +6,7 @@ from pydantic import BaseModel from pydantic_settings import BaseSettings, SettingsConfigDict + logging.basicConfig(level=logging.INFO) log = logging.getLogger() From 1b68c3ed714f1043ece28fca5d1802acac919a4e Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Wed, 10 Jul 2024 13:41:50 +0100 Subject: [PATCH 014/153] fix: address html error in base.html --- django_app/redbox_app/templates/base.html | 1 - 1 file changed, 1 deletion(-) diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index a76e763b2..8bbcf8ae4 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -57,7 +57,6 @@ {% set menu_items = [ {"text": "Documents", "href": url('documents')}, {"text": "Chats", "href": url('chats')}, - {"text": "Sign out", "href": url('signed-out')} ] %} {% else %} From 28e917f738e27fb4c0c1374466dc85d5e1712f71 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Wed, 10 Jul 2024 13:52:05 +0100 Subject: [PATCH 015/153] fix: fix feedback email address --- django_app/redbox_app/templates/base.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index 8bbcf8ae4..5acf1926a 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -114,7 +114,7 @@ - +
From cf6dd05de69d6fb1cfdd3521f4c6821ec967ad5b Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Thu, 11 Jul 2024 22:29:55 +0100 Subject: [PATCH 016/153] fix: remove register interest link --- django_app/redbox_app/templates/homepage.html | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/django_app/redbox_app/templates/homepage.html b/django_app/redbox_app/templates/homepage.html index 4cf3899be..8225df606 100644 --- a/django_app/redbox_app/templates/homepage.html +++ b/django_app/redbox_app/templates/homepage.html @@ -8,7 +8,7 @@
-

Use Artificial Intelligence (AI) to interact with Official level documents from your own document set.

+

Use Artificial Intelligence (AI) to interact with Official level documents from your own document set

You may summarise documents, ask questions related to one or more documents, and chat directly with the AI to assist you in your work. You can use up to, and including, Official documents.

{% if not request.user.is_authenticated %} @@ -17,7 +17,6 @@

Use Artificial Intelligence href=url('sign-in'), classes="govuk-button--secondary govuk-!-margin-bottom-0 rb-banner__button" ) }} - or register your interest to use Redbox {% endif %}

From e08a249c833643516e201ef37069b37d6612f988 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Wed, 17 Jul 2024 10:38:15 +0100 Subject: [PATCH 017/153] feat: automate the existing RAG notebooks into one script (#3) Co-authored-by: Emily Lambert Co-authored-by: Natasha Boyse --- notebooks/__init__.py | 0 notebooks/evaluation/rag_experiments.py | 510 ++++++++++++++++++ .../evaluation/tests/test_rag_experiments.py | 212 ++++++++ poetry.lock | 48 +- pyproject.toml | 2 + 5 files changed, 770 insertions(+), 2 deletions(-) create mode 100644 notebooks/__init__.py create mode 100644 notebooks/evaluation/rag_experiments.py create mode 100644 notebooks/evaluation/tests/test_rag_experiments.py diff --git a/notebooks/__init__.py b/notebooks/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/notebooks/evaluation/rag_experiments.py b/notebooks/evaluation/rag_experiments.py new file mode 100644 index 000000000..d64f7fe4e --- /dev/null +++ b/notebooks/evaluation/rag_experiments.py @@ -0,0 +1,510 @@ +import json +import sys +from dataclasses import asdict +from operator import itemgetter +from pathlib import Path +from typing import Annotated + +import click +import jsonlines +import pandas as pd +import seaborn as sns +from deepeval import evaluate +from deepeval.dataset import EvaluationDataset +from deepeval.metrics import ( + AnswerRelevancyMetric, + ContextualPrecisionMetric, + ContextualRecallMetric, + ContextualRelevancyMetric, + FaithfulnessMetric, + HallucinationMetric, +) +from dotenv import find_dotenv, load_dotenv +from elasticsearch import Elasticsearch +from elasticsearch.helpers import bulk, scan +from fastapi import Depends +from langchain.globals import set_verbose +from langchain.schema import StrOutputParser +from langchain_community.chat_models import ChatLiteLLM +from langchain_core.retrievers import BaseRetriever +from langchain_core.runnables import ConfigurableField, Runnable, RunnableLambda, RunnablePassthrough +from langchain_core.vectorstores import VectorStoreRetriever +from scipy import stats +from tiktoken import Encoding + +# Temp hack - there is an issue with the importing of redbox-core +sys.path.append(str(Path(__file__).parents[2])) + +from core_api.src import dependencies +from core_api.src.dependencies import get_tokeniser +from core_api.src.format import format_documents +from core_api.src.retriever import ParameterisedElasticsearchRetriever +from core_api.src.runnables import make_chat_prompt_from_messages_runnable +from redbox.models import ChatRoute, Settings +from redbox.models.chain import ChainInput +from redbox.models.file import UUID +from redbox.models.settings import ElasticLocalSettings + +set_verbose(False) + + +_ = load_dotenv(find_dotenv()) + + +class GetExperimentResults: + """ + Class to handle experiment results retrieval and processing. + + Attributes: + data_version (str): Data version to be used in experiment + benchmark (bool): Benchmark stated or not + V_EMBEDDINGS (str): Embeddings version + V_ROOT (path): Path to where the root of experiment data lies + V_SYNTHETIC (path): Path to the synthetic data + V_RESULTS (path): Path to the results from data processing + MODEL (str): Embedding model + ES_CLIENT (func): Elastic search client from settings + INDEX (str): Index for the json lines file + experiment_name (str): Name of the experiment + """ + + def __init__(self): + self.data_version = None + self.benchmark = None + self.V_EMBEDDINGS = "" + self.V_ROOT = None + self.V_SYNTHETIC = None + self.V_RESULTS = None + self.MODEL = None + self.ES_CLIENT = None + self.INDEX = None + self.experiment_name = None + self.retrieval_system_prompt = None + self.retrieval_question_prompt = None + self.eval_results = None + self.ENV = Settings(minio_host="localhost", elastic=ElasticLocalSettings(host="localhost")) + self.LLM = ChatLiteLLM( + model="gpt-4o", + streaming=True, + ) + self.FILE_UUIDS = None + self.USER_UUID = UUID("aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa") + self.experiment_file_name = None + self.experiment_parameters = None + + def set_data_version(self, data_version): + """ + This function sets the necessary environment variables depending on your data version. + It assumes you have a versioned evaluation folder in your repository e.g. notebooks/evaluation/data/0.2.0 + This should be copied from the Redbox shared Google Drive. + This folder contains the raw files, QA sets, embeddings etc. + """ + self.data_version = data_version + root = Path(__file__).parents[2] + evaluation_dir = root / "notebooks/evaluation" + self.V_ROOT = evaluation_dir / f"data/{self.data_version}" + self.V_SYNTHETIC = self.V_ROOT / "synthetic" + self.V_RESULTS = self.V_ROOT / "results" + self.V_EMBEDDINGS = self.V_ROOT / "embeddings" + self.MODEL = self.ENV.embedding_model + self.INDEX = f"{self.data_version}-{self.MODEL}".lower() + self.ES_CLIENT = self.ENV.elasticsearch_client() + + def load_chunks_from_jsonl_to_index(self) -> set: + """ + This function takes the versioned embeddings (e.g. from notebooks/evaluation/data/0.2.0/embeddings) + and loads them to ElasticSearch. + """ + file_uuids = set() + file_path = self.V_EMBEDDINGS / f"{self.MODEL}.jsonl" + + with jsonlines.open(file_path, mode="r") as reader: + for chunk_raw in reader: + chunk = json.loads(chunk_raw) + self.ES_CLIENT.index( + index=self.INDEX, + id=chunk["uuid"], + body=chunk, + ) + + file_uuids.add(chunk["parent_file_uuid"]) + self.FILE_UUIDS = file_uuids + return file_uuids + + def clear_index(self) -> None: + """ + This function clears the indexes from ElasticSearch. + """ + if not self.ES_CLIENT.indices.exists(index=self.INDEX): + return None + + documents = list(scan(self.ES_CLIENT, index=self.INDEX, query={"query": {"match_all": {}}})) + bulk_data = [{"_op_type": "delete", "_index": doc["_index"], "_id": doc["_id"]} for doc in documents] + if bulk_data: + return bulk(self.ES_CLIENT, bulk_data, request_timeout=300) + return None + + def get_parameterised_retriever( + self, es: Annotated[Elasticsearch, Depends(dependencies.get_elasticsearch_client)] + ) -> BaseRetriever: + """ + Creates an Elasticsearch retriever runnable. + Runnable takes input of a dict keyed to question, file_uuids and user_uuid. + Runnable returns a list of Chunks. + """ + default_params = { + "size": self.ENV.ai.rag_k, + "num_candidates": self.ENV.ai.rag_num_candidates, + "match_boost": 1, + "knn_boost": 1, + "similarity_threshold": 0, + } + + return ParameterisedElasticsearchRetriever( + es_client=es, + index_name=self.INDEX, + params=default_params, + embedding_model=dependencies.get_embedding_model(self.ENV), + ).configurable_fields( + params=ConfigurableField( + id="params", + name="Retriever parameters", + description="A dictionary of parameters to use for the retriever.", + ) + ) + + def build_retrieval_chain( + self, + llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], + retriever: Annotated[VectorStoreRetriever, Depends(dependencies.get_parameterised_retriever)], + tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], + env: Annotated[Settings, Depends(dependencies.get_env)], + ) -> Runnable: + """ + This is an adaptation of core_api.src.build_chains.build_retrieval_chain. + Function experiements with different retrieval_system_prompt and retrieval_question_prompt. + """ + return ( + RunnablePassthrough.assign(documents=retriever) + | RunnablePassthrough.assign( + formatted_documents=(RunnablePassthrough() | itemgetter("documents") | format_documents) + ) + | { + "response": make_chat_prompt_from_messages_runnable( + system_prompt=str(self.retrieval_system_prompt), + question_prompt=str(self.retrieval_question_prompt), + input_token_budget=env.ai.context_window_size - env.llm_max_tokens, + tokeniser=tokeniser, + ) + | llm + | StrOutputParser(), + "source_documents": itemgetter("documents"), + "route_name": RunnableLambda(lambda _: ChatRoute.search.value), + } + ) + + def get_rag_results( + self, + question, + ) -> dict: + """ + Get Redbox response for a given question. + """ + retriever = self.get_parameterised_retriever(es=self.ES_CLIENT) + + chain = self.build_retrieval_chain(llm=self.LLM, retriever=retriever, tokeniser=get_tokeniser(), env=self.ENV) + + response = chain.invoke( + input=ChainInput( + question=question, + chat_history=[{"text": "", "role": "user"}], + file_uuids=list(self.FILE_UUIDS), + user_uuid=self.USER_UUID, + ).model_dump() + ) + + filtered_chunks = [] + + for chunk in response["source_documents"]: + dict_chunk = dict(chunk) + filtered_chunk = { + "page_content": dict_chunk["page_content"], + "page_number": dict_chunk["metadata"]["page_number"], + "parent_file_uuid": dict_chunk["metadata"]["parent_file_uuid"], + } + filtered_chunks.append(filtered_chunk) + + return {"output_text": response["response"], "source_documents": filtered_chunks} + + def write_rag_results(self) -> None: + """ + Format and write Redbox responses to evaluation dataset. + """ + + synthetic_df = pd.read_csv(f"{self.V_SYNTHETIC}/ragas_synthetic_data.csv") + inputs = synthetic_df["input"].tolist() + + df_function = synthetic_df.copy() + + actual_output = [] + retrieval_context = [] + + for question in inputs: + data = self.get_rag_results(question=question) + actual_output.append(data["output_text"]) + retrieval_context.append(data["source_documents"]) + + df_function["actual_output"] = actual_output + df_function["retrieval_context"] = retrieval_context + + df_function_clean = df_function.dropna() + df_function_clean.to_csv( + f"{self.V_SYNTHETIC}/{self.experiment_name}_complete_ragas_synthetic_data.csv", index=False + ) + + def do_evaluation(self) -> None: + """ + Calculate evaluation metrics for a synthetic RAGAS dataset, aggregate results + and write as CSV. + """ + + dataset = EvaluationDataset() + dataset.add_test_cases_from_csv_file( + file_path=f"{self.V_SYNTHETIC}/{self.experiment_name}_complete_ragas_synthetic_data.csv", + input_col_name="input", + actual_output_col_name="actual_output", + expected_output_col_name="expected_output", + context_col_name="context", + context_col_delimiter=";", + retrieval_context_col_name="retrieval_context", + retrieval_context_col_delimiter=";", + ) + + # Instantiate retrieval metrics + contextual_precision = ContextualPrecisionMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + contextual_recall = ContextualRecallMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + contextual_relevancy = ContextualRelevancyMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + # Instantiate generation metrics + answer_relevancy = AnswerRelevancyMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + faithfulness = FaithfulnessMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + hallucination = HallucinationMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + self.eval_results = evaluate( + test_cases=dataset, + metrics=[ + contextual_precision, + contextual_recall, + contextual_relevancy, + answer_relevancy, + faithfulness, + hallucination, + ], + ) + + return self.eval_results + + def write_evaluation_results(self) -> None: + """ + This function writes the evaluation results to a csv, identifiable by experiment_name. + """ + metric_type = { + "metric_name": [ + "Contextual Precision", + "Contextual Recall", + "Contextual Relevancy", + "Answer Relevancy", + "Faithfulness", + "Hallucination", + ], + "metric_type": ["retrieval", "retrieval", "retrieval", "generation", "generation", "generation"], + } + + evaluation = ( + pd.DataFrame.from_records(asdict(result) for result in self.eval_results) + .explode("metrics_metadata") + .reset_index(drop=True) + .assign( + metric_name=lambda df: df.metrics_metadata.apply(getattr, args=["metric"]), + score=lambda df: df.metrics_metadata.apply(getattr, args=["score"]), + reason=lambda df: df.metrics_metadata.apply(getattr, args=["reason"]), + ) + .merge(pd.DataFrame(metric_type), on="metric_name") + .drop(columns=["success", "metrics_metadata"]) + ) + + evaluation.to_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv", index=False) + evaluation.head() + + def load_experiment_param_data( + self, + experiment_file_name=None, + benchmark=None, + ): + """ + This function loads an csv of experiments to try unless benchmark is specified; + in this case it will take the core_api retrieval_system_prompt and retrieval_question_prompt. + """ + + if benchmark: + self.benchmark = benchmark + self.experiment_file_name = "benchmark" + benchmark_df = pd.DataFrame() + benchmark_df["experiment_name"] = ["benchmark"] + benchmark_df["retrieval_system_prompt"] = [self.ENV.ai.retrieval_system_prompt] + benchmark_df["retrieval_question_prompt"] = [self.ENV.ai.retrieval_question_prompt] + self.experiment_parameters = benchmark_df + else: + self.experiment_file_name = experiment_file_name + self.experiment_parameters = pd.read_csv( + f"notebooks/evaluation/data/experiment_parameters/{self.experiment_file_name}.csv" + ) + + def loop_through_experiements(self): + """ + This function calls the other functions to run and write the different experiments. + """ + for _index, row in self.experiment_parameters.iterrows(): + self.experiment_name = row["experiment_name"] + self.retrieval_system_prompt = (row["retrieval_system_prompt"],) + self.retrieval_question_prompt = row["retrieval_question_prompt"] + + self.write_rag_results() + self.do_evaluation() + self.write_evaluation_results() + + def empirical_ci(self, df: pd.DataFrame) -> pd.DataFrame: + """ + Calculate confidence intervals for aggregated metrics. + """ + + df_grouped = ( + df.groupby(["experiment_name", "metric_name"])["score"] + .agg(["mean", "sem", "min", "max", "count"]) + .reset_index() + ) + + ci = stats.t.interval( + confidence=0.95, df=df_grouped["count"] - 1, loc=df_grouped["mean"], scale=df_grouped["sem"] + ) + + df_grouped["ci_low"] = ci[0] + df_grouped["ci_high"] = ci[1] + + return df_grouped + + def create_visualisation_plus_grouped_results(self): + """ + This function uses the stored experiment result to save the aggregated metics using empirical_ci(). + It also saves a barplot (here confidence intervals are calculated by bootstrapping). + """ + experiments = [] + experiment_names = self.experiment_parameters["experiment_name"] + for experiment_name in experiment_names: + experiment = pd.read_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv") + experiment["experiment_name"] = experiment_name + experiments.append(experiment) + + experiments_df = pd.concat(experiments) + + barplot = sns.barplot(experiments_df, x="score", y="metric_name", hue="experiment_name", errorbar=("ci", 95)) + fig = barplot.get_figure() + fig.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_boxplot.png", bbox_inches="tight") + + experiment_metrics = self.empirical_ci(experiments_df) + experiment_metrics.to_csv(f"{self.V_RESULTS}/{self.experiment_file_name}_eval_results_full.csv") + + +class Mutex(click.Option): + def __init__(self, *args, **kwargs): + self.not_required_if = kwargs.pop("not_required_if") + self.required_if_not_set = kwargs.pop("required_if_not_set", True) + + if not self.not_required_if: + msg = "'not_required_if' parameter required" + raise ValueError(msg) + + kwargs["help"] = ( + kwargs.get("help", "") + " Option is mutually exclusive with " + ", ".join(self.not_required_if) + "." + ).strip() + super().__init__(*args, **kwargs) + + def handle_parse_result(self, ctx, opts, args): + current_opt = self.name in opts + for mutex_opt in self.not_required_if: + if mutex_opt in opts: + if current_opt: + msg = f"Illegal usage: '{self.name}' is mutually exclusive with {mutex_opt}." + raise click.UsageError(msg) + self.prompt = None + + if not current_opt and self.required_if_not_set and not any(opt in opts for opt in self.not_required_if): + msg = f"Illegal usage: Either '{self.name}' or one of {', '.join(self.not_required_if)} must be provided." + raise click.UsageError(msg) + return super().handle_parse_result(ctx, opts, args) + + +@click.command() +@click.option( + "--data_version", + required=True, + type=str, + help="Specify the data version you want to use.", +) +@click.option( + "--experiment_file_name", + cls=Mutex, + not_required_if=["benchmark"], + required_if_not_set=True, + type=str, + help="Specify the experiment data file name you want to use. (CSV)", +) +@click.option( + "--benchmark", + "-b", + cls=Mutex, + not_required_if=["experiment_file_name"], + required_if_not_set=True, + is_flag=True, + help="Use the baseline rag function to get benchmarking results.", +) +def main(data_version, experiment_file_name, benchmark): + get_experiment_results = GetExperimentResults() + get_experiment_results.set_data_version(data_version) + get_experiment_results.load_experiment_param_data(experiment_file_name=experiment_file_name, benchmark=benchmark) + get_experiment_results.load_chunks_from_jsonl_to_index() + get_experiment_results.loop_through_experiements() + get_experiment_results.create_visualisation_plus_grouped_results() + get_experiment_results.clear_index() + + +if __name__ == "__main__": + main() diff --git a/notebooks/evaluation/tests/test_rag_experiments.py b/notebooks/evaluation/tests/test_rag_experiments.py new file mode 100644 index 000000000..9a6034994 --- /dev/null +++ b/notebooks/evaluation/tests/test_rag_experiments.py @@ -0,0 +1,212 @@ +import json +import sys +from pathlib import Path +from unittest import mock + +import pytest + +# Hack - wasn't picking up imports properly +sys.path.append(str(Path(__file__).parents[2])) +import tempfile +import unittest +from pathlib import Path +from unittest.mock import MagicMock, patch + +import pandas as pd +from elasticsearch import Elasticsearch +from elasticsearch.helpers import scan +from evaluation.rag_experiments import GetExperimentResults + +from redbox.models import Settings + + +@pytest.fixture() +def env(): + return Settings() + + +@pytest.fixture() +def es_client(): + with ( + mock.patch("elasticsearch.Elasticsearch.search") as mocked_search, + mock.patch("elasticsearch.client.IndicesClient.create") as mocked_index_create, + mock.patch("elasticsearch.Elasticsearch.index") as mocked_index, + mock.patch("elasticsearch.helpers.scan") as mocked_scan, + mock.patch("elasticsearch.Elasticsearch.delete_by_query") as mocked_delete_by_query, + ): + mocked_search.return_value = {"hits": {"hits": [{"_id": "1", "_source": {"field": "value"}}]}} + mocked_index_create.return_value = {"acknowledged": True} + mocked_index.return_value = {"result": "created"} + mocked_delete_by_query.return_value = {"deleted": 1} + mocked_scan.return_value = iter( + [{"_id": "1", "_source": {"field": "value"}}, {"_id": "2", "_source": {"field": "value"}}] + ) + + client = Elasticsearch(hosts=["http://localhost:9200"]) + client.indices = mock.Mock() + client.indices.create = mocked_index_create + client.search = mocked_search + client.index = mocked_index + client.delete_by_query = mocked_delete_by_query + + yield client, mocked_search, mocked_index_create, mocked_index, mocked_scan, mocked_delete_by_query + + +@pytest.mark.usefixtures("es_client") +class TestGetExperimentResults(unittest.TestCase): + @pytest.fixture(autouse=True) + def inject_fixtures(self, es_client): + ( + self.es_client, + self.mocked_search, + self.mocked_index_create, + self.mocked_index, + self.mocked_scan, + self.mocked_delete_by_query, + ) = es_client + + return es_client + + @classmethod + def setUpClass(cls): + super().setUpClass() + + def setUp(self): + self.get_experiment_results = GetExperimentResults() + self.get_experiment_results.set_data_version("0.2.3") + + self.get_experiment_results.ENV = MagicMock() + + self.get_experiment_results.ES_CLIENT = self.es_client + + self.temp_dir = tempfile.TemporaryDirectory() + self.get_experiment_results.V_RESULTS = self.temp_dir.name + + self.mock_synthetic_path = "/mock/synthetic" + self.mock_complete_ragas_file = "mock_complete_ragas_synthetic_data.csv" + self.get_experiment_results.synthetic_data_dir = self.mock_synthetic_path + + def tearDown(self): + self.temp_dir.cleanup() + + @patch("jsonlines.open") + def test_load_chunks_from_jsonl_to_index(self, mock_jsonlines_open): + mock_jsonlines_open.return_value.__enter__.return_value = iter( + [json.dumps({"uuid": "1234", "parent_file_uuid": "abcd", "data": "test data"})] + ) + + file_uuids = self.get_experiment_results.load_chunks_from_jsonl_to_index() + assert "abcd" in file_uuids + self.get_experiment_results.ES_CLIENT.index.assert_called_once() + + @patch("jsonlines.open") + def test_load_chunks_from_empty_jsonl(self, mock_jsonlines_open): + mock_jsonlines_open.return_value.__enter__.return_value = iter([]) + + result = self.get_experiment_results.load_chunks_from_jsonl_to_index() + assert result == set() + + def test_load_experiment_param_data(self): + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame( + { + "experiment_name": ["test_experiment"], + "retrieval_system_prompt": ["test_prompt"], + "retrieval_question_prompt": ["test_question_prompt"], + } + ) + + self.get_experiment_results.load_experiment_param_data("test_file") + assert self.get_experiment_results.experiment_parameters["experiment_name"][0] == "test_experiment" + + @patch("evaluation.rag_experiments.GetExperimentResults.get_rag_results") + @patch("pandas.DataFrame.to_csv") + def test_write_rag_results(self, mock_to_csv, mock_get_rag_results): + mock_get_rag_results.return_value = { + "output_text": "test_output", + "source_documents": [{"page_content": "test_content"}], + } + + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame({"input": ["test_input"]}) + self.get_experiment_results.write_rag_results() + mock_to_csv.assert_called_once() + + @patch("evaluation.rag_experiments.pd.read_csv") + @patch("evaluation.rag_experiments.evaluate") + def test_do_evaluation(self, mock_evaluate, mock_read_csv): + # Setting up the mock return value for read_csv + mock_data = pd.DataFrame({"column1": [1, 2, 3], "column2": ["a", "b", "c"]}) + mock_read_csv.return_value = mock_data + + mock_eval_result = pd.DataFrame( + { + "input": ["input1", "input2", "input3"], + "actual_output": ["output1", "output2", "output3"], + "expected_output": ["expected1", "expected2", "expected3"], + "context": [["context1"], ["context2"], ["context3"]], + "retrieval_context": [["retrieval1"], ["retrieval2"], ["retrieval3"]], + "additional_metadata": [None, None, None], + "comments": [None, None, None], + } + ) + mock_evaluate.return_value = mock_eval_result + + result = self.get_experiment_results.do_evaluation() + + assert result is not None + assert isinstance(result, pd.DataFrame) + assert result.shape == (3, 7) + + @patch("seaborn.barplot") + @patch("pandas.concat") + @patch("pandas.read_csv") + def test_create_visualisation_plus_grouped_results(self, mock_read_csv, mock_concat, mock_barplot): # noqa: ARG002 + mock_read_csv.return_value = pd.DataFrame( + {"experiment_name": ["test_experiment"], "score": [0.5], "metric_name": ["test_metric"]} + ) + mock_concat.return_value = mock_read_csv.return_value + + self.get_experiment_results.experiment_parameters = {"experiment_name": ["test_experiment"]} + self.get_experiment_results.create_visualisation_plus_grouped_results() + + @patch("pandas.read_csv") + def test_create_visualisation_empty_data(self, mock_read_csv): + mock_read_csv.return_value = pd.DataFrame() + self.get_experiment_results.experiment_parameters = {"experiment_name": []} + + with pytest.raises(ValueError): # noqa: PT011 + self.get_experiment_results.create_visualisation_plus_grouped_results() + + @patch("jsonlines.open") + def test_clear_index(self, mock_jsonlines_open): + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame( + { + "experiment_name": ["test_experiment"], + "retrieval_system_prompt": ["test_prompt"], + "retrieval_question_prompt": ["test_question_prompt"], + } + ) + + self.get_experiment_results.load_experiment_param_data("test_file") + + mock_jsonlines_open.return_value.__enter__.return_value = iter( + [json.dumps({"uuid": "1234", "parent_file_uuid": "abcd", "data": "test data"})] + ) + + self.get_experiment_results.load_chunks_from_jsonl_to_index() + + self.get_experiment_results.ES_CLIENT.index.assert_called_once() + + self.get_experiment_results.clear_index() + documents_after_clear = list( + scan(self.get_experiment_results.ES_CLIENT, query={"query": {"match_all": {}}}) + ) + assert len(documents_after_clear) == 0 + + self.get_experiment_results.clear_index() + + +if __name__ == "__main__": + unittest.main() diff --git a/poetry.lock b/poetry.lock index d13ec4a80..3804dab8d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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"pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"] test = ["Cython", "array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] +[[package]] +name = "seaborn" +version = "0.13.2" +description = "Statistical data visualization" +optional = false +python-versions = ">=3.8" +files = [ + {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"}, + {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"}, +] + +[package.dependencies] +matplotlib = ">=3.4,<3.6.1 || >3.6.1" +numpy = ">=1.20,<1.24.0 || >1.24.0" +pandas = ">=1.2" + +[package.extras] +dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-xdist"] +docs = ["ipykernel", "nbconvert", "numpydoc", "pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"] +stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"] + [[package]] name = "semantic-router" version = "0.0.48" @@ -10169,4 +10213,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "0f6bc0402cbde8567d6cdd705acee1d3af4bdb2e7e713362877266e89b6533ce" +content-hash = "0d54ca3b9faad13a7d7c77be4047b29aa8bf07d57acb3a6166e9cdab2cb60421" diff --git a/pyproject.toml b/pyproject.toml index c5cc872b1..f7afa4d37 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,6 +28,8 @@ faststream = {extras = ["redis"], version = "<0.5.0"} langchain-elasticsearch = "^0.2.0" +seaborn = "^0.13.2" +mock = "^5.1.0" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From 7b6d1f8c174dabcfc38de764ae5ea02d50f9ca08 Mon Sep 17 00:00:00 2001 From: Euan Soutter <168103747+esoutter@users.noreply.github.com> Date: Fri, 19 Jul 2024 14:27:23 +0100 Subject: [PATCH 018/153] feat: exploration - analysis of chat history and streamlit dashboard * wip: analysis of chat history * ensure user frequent is only for users and not all responses and also add tables for all analyses * removing unused imports/packages * function to find latest csv chat history file * basic streamlit dashboard * add route analysis and topic modelling * add route transition method and comments --------- Co-authored-by: Natasha Boyse --- .gitignore | 4 + .../evaluation/analysis_of_chat_history.py | 296 ++++++++++++++++++ notebooks/evaluation/app.py | 43 +++ poetry.lock | 80 ++++- pyproject.toml | 1 + 5 files changed, 423 insertions(+), 1 deletion(-) create mode 100644 notebooks/evaluation/analysis_of_chat_history.py create mode 100644 notebooks/evaluation/app.py diff --git a/.gitignore b/.gitignore index a9cfc871f..42b64d9e6 100644 --- a/.gitignore +++ b/.gitignore @@ -213,3 +213,7 @@ django_app/tests/staticfiles # pre commit files .pre-commit-trivy-cache + +# chat history files and personal data +*chat_history_* +notebooks/evaluation/results \ No newline at end of file diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py new file mode 100644 index 000000000..a1d3e5782 --- /dev/null +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -0,0 +1,296 @@ +import glob +import inspect +import os +import re +import textwrap +from collections import Counter +from pathlib import Path + +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import seaborn as sns +import numpy as np +from regex import D +from wordcloud import STOPWORDS, WordCloud +from bertopic import BERTopic + +class ChatHistoryAnalysis(): + def __init__(self) -> None: + root = Path(__file__).parents[2] + self.evaluation_dir = root / "notebooks/evaluation" + results_dir = f'{self.evaluation_dir}/results' + self.visualisation_dir = f'{results_dir}/visualisations/' + self.table_dir = f'{results_dir}/table/' + os.makedirs(results_dir, exist_ok=True) + os.makedirs(self.visualisation_dir, exist_ok=True) + os.makedirs(self.table_dir, exist_ok=True) + + # IMPORTANT - For this to work you must save your chat history CSV dump in notebooks/evaluation/data/chat_histories + file_path = self.latest_chat_history_file() + self.chat_logs = pd.read_csv(file_path) + + # Select specific columns and converting to readable timestamp + self.chat_logs = self.chat_logs[['created_at', 'users', 'chat_history', 'text', 'role', 'id']] + self.chat_logs['created_at'] = pd.to_datetime(self.chat_logs['created_at']) + + self.ai_responses = self.chat_logs[self.chat_logs['role'] == 'ai'] + self.user_responses = self.chat_logs[self.chat_logs['role'] == 'user'] + + self.chat_logs['tokens'] = self.chat_logs['text'].apply(self.preprocess_text) + self.ai_responses['tokens'] = self.ai_responses['text'].apply(self.preprocess_text) + self.user_responses['tokens'] = self.user_responses['text'].apply(self.preprocess_text) + + self.user_responses['route'] = self.user_responses['text'].apply(lambda row: 'summarise' if row.startswith('@summarise') else ('chat' if row.startswith('@chat') else 'no_route')) + + self.topic_model = None + self.topic_model_over_time = None + + self.figsize = (10, 5) + mpl.rcParams.update({'font.size': 10}) + mpl.rcParams.update({'font.family': 'Arial'}) + + def latest_chat_history_file(self): + chat_history_folder = glob.glob(f'{self.evaluation_dir}/data/chat_histories/*') + latest_file = max(chat_history_folder, key=os.path.getctime) + return latest_file + + def preprocess_text(self, text): + tokens = text.split() + tokens = [word.lower() for word in tokens if word.isalpha()] + return tokens + + # 1) Who uses Redbox the most? + def user_frequency_analysis(self): + user_counts = self.chat_logs['users'].value_counts() + + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in user_counts.index] + wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + + # Table + table_data = {'Name': user_name, 'Email': user_counts.index, 'Number of times used': user_counts.values} + table_dataframe = pd.DataFrame(data=table_data, index=user_name) + table_dataframe.to_csv(f'{self.table_dir}top_users.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=wrapped_user_name, y=user_counts.values, palette='viridis') + + plt.xticks(ha='right', size=9) + plt.title('Unique Users by Total Number of Messages') + plt.xlabel('Users') + plt.ylabel('Total No. of Messages') + top_users_path = os.path.join(self.visualisation_dir, 'top_users.png') + plt.savefig(top_users_path) + + # 2) Redbox traffic analysis + def redbox_traffic_analysis(self): + # think about GA integration? + self.chat_logs['date'] = self.chat_logs['created_at'].dt.date + date_counts = self.chat_logs['date'].value_counts().sort_index() + + # Table + table_data = {'Date': date_counts.index, 'Usage': date_counts.values} + table_dataframe = pd.DataFrame(data=table_data) + table_dataframe.to_csv(f'{self.table_dir}usage_of_redbox_ai_over_time.csv', index=False) + + # Line graph + plt.figure(figsize=self.figsize) + date_counts.plot(kind='line') + plt.title('Usage of Redbox AI Over Time') + plt.xlabel('Date') + plt.ylabel('Number of Conversations') + conversation_frequency_path = os.path.join(self.visualisation_dir, 'usage_of_redbox_ai_over_time.png') + plt.savefig(conversation_frequency_path) + + # 3) Which words are used the most frequently by USERS? + def user_word_frequency_analysis(self): + all_tokens = [token for tokens in self.user_responses['tokens'] for token in tokens] + + # far too many stopwords and wordcloud has a lovely constant attached to resolve this + stopwords_removed_from_all_tokens = [word for word in all_tokens if word not in STOPWORDS] + + word_freq = Counter(stopwords_removed_from_all_tokens) + + most_common_words = word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words) + + # Table + table_data = {'Word': list(word_freq.keys()), 'Frequency': list(word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) + table_dataframe.to_csv(f'{self.table_dir}user_most_frequent_words_table.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette='viridis') + plt.title('Top 20 Most Frequent Words') + plt.xlabel('Frequency') + plt.ylabel('Words') + barplot_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words_barplot.png') + plt.savefig(barplot_path) + + # Wordcloud - TODO - assess value + wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(word_freq) + plt.figure(figsize=self.figsize) + plt.imshow(wordcloud, interpolation='bilinear') + plt.axis('off') + plt.title('Most Frequent Words') + wordcloud_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words.png') + plt.savefig(wordcloud_path) + + # 4) Which words are used the most frequently by AI? + def ai_word_frequency_analysis(self): + ai_word_freq = Counter([token for tokens in self.ai_responses['tokens'] for token in tokens if token not in STOPWORDS]) + most_common_words = ai_word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words) + + # Table + table_data = {'Word': list(ai_word_freq.keys()), 'Frequency': list(ai_word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) + table_dataframe.to_csv(f'{self.table_dir}ai_most_frequent_words_table.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette='viridis') + plt.title('Top 20 Most Frequent Words') + plt.xlabel('Frequency') + plt.ylabel('Words') + barplot_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words_barplot.png') + plt.savefig(barplot_path) + + # Wordcloud - TODO - assess value + ai_wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(ai_word_freq) + plt.figure(figsize=self.figsize) + plt.imshow(ai_wordcloud, interpolation='bilinear') + plt.axis('off') + plt.title('Most Frequent Words in AI Responses') + ai_wordcloud_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words.png') + plt.savefig(ai_wordcloud_path) + + # 5) Is there a clear pattern behind AI responses? + def ai_response_pattern_analysis(self): + def clean_text(text): # was including asterisks giving useless info to the graph I'm still not entirely convinced on the benefit of this analysis + return re.sub('[!@#$*]', '', text).strip() + + self.ai_responses['clean_text'] = self.ai_responses['text'].apply(clean_text) + ai_response_patterns = self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts().head(10) + + # Table + words, counts = zip(*self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts()) + table_data = {'Word': words, 'Frequency': counts} + table_dataframe = pd.DataFrame(data=table_data) + table_dataframe.to_csv(f'{self.table_dir}common_ai_patterns.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=ai_response_patterns.values, y=ai_response_patterns.index, palette='magma') + plt.title('Common Patterns in AI Responses') + plt.xlabel('Frequency') + plt.ylabel('Patterns') + ai_patterns_path = os.path.join(self.visualisation_dir, 'common_ai_patterns.png') + plt.savefig(ai_patterns_path) + + # What routes are people using? + def route_analysis(self): + + df = self.user_responses.copy() + + # # Some users repeat the same message several times (drop?) + # df = df.drop_duplicates(['text']) + + # User names + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.users] + wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + df['user_name'] = wrapped_user_name + + # Groupby routes + df_grouped = df.groupby(['user_name'])['route'].value_counts().unstack() + + # Plot + plt.figure(figsize=self.figsize) + df_grouped.plot(kind='bar', + color={"chat": "teal", + "no_route": "yellowgreen", + "summarise": "gold"}, + figsize=self.figsize) + plt.xticks(rotation=0) + plt.xlabel('Users') + plt.ylabel('Number of routes taken') + plt.title('Routes taken per user') + routes_count_path = os.path.join(self.visualisation_dir, 'routes_per_user.png') + plt.savefig(routes_count_path) + + def get_route_transitions(self, df): + + # TODO Check this works with the groupby ID and time order of events + df['next_route'] = df['route'].shift(1) + + df['transition'] = df.apply(lambda row: f"{row['route']} to {row['next_route']}" + if pd.notna(row['next_route']) else None, axis=1) + + return df + + # In what way are users switching between routes? + def route_transitions(self): + + # Get route transitions and counts per user session (is 'id' appropriate?) + df_transitions = self.user_responses.groupby('id').apply(self.get_route_transitions).reset_index(drop=True) + + transition_counts = df_transitions['transition'].value_counts().reset_index() + + # Plot + sns.barplot(x=transition_counts['transition'], y=transition_counts['count'], + palette='viridis') + plt.xticks(rotation=45, ha='right') + plt.title('Number of different route transitions') + plt.xlabel('Route transition') + plt.ylabel('Number of route transitions') + + # Are users asking about common topics? + def get_topics(self): + + STOPWORDS.add('@chat') + STOPWORDS.add('@summarise') + + # Remove stopwords and fit (simple) topic model + text_without_stopwords = self.user_responses['text'].apply(lambda row: ' '.join([word for word in row.split() if word not in (STOPWORDS)])) + created_at = self.user_responses['created_at'].to_list() + + topic_model = BERTopic(verbose=True) + topic_model.fit_transform(text_without_stopwords) + topics_over_time = topic_model.topics_over_time(text_without_stopwords, created_at) + + self.topic_model = topic_model + self.topics_over_time = topics_over_time + + def visualise_topics(self): + # Plot + return self.topic_model.visualize_topics(width=800, height=500) + + def visualise_hierarchy(self): + # Plot + return self.topic_model.visualize_hierarchy(width=800, height=400) + + def visualise_barchart(self): + # Plot + return self.topic_model.visualize_barchart(width=800, height=400) + + def visualise_topics_over_time(self): + # Plot + return self.topic_model.visualize_topics_over_time(self.topics_over_time, + top_n_topics = 5, + normalize_frequency=True) + +def main(): + chat_history_analysis = ChatHistoryAnalysis() + attrs = (getattr(chat_history_analysis, name) for name in dir(chat_history_analysis)) + methods = filter(inspect.ismethod, attrs) + for method in methods: + try: + method() + except TypeError: + pass + + +if __name__ == "__main__": + main() diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py new file mode 100644 index 000000000..44f36c415 --- /dev/null +++ b/notebooks/evaluation/app.py @@ -0,0 +1,43 @@ +from analysis_of_chat_history import ChatHistoryAnalysis +import streamlit as st + +st.set_page_config(page_title = 'Redbox Chat Analysis', layout = 'centered') +st.set_option('deprecation.showPyplotGlobalUse', False) +st.title('Redbox Chat History Dashboard') + +user_freq_tab, traffic_tab, word_freq_tab, ai_word_freq_tab, route_tab, transitions_tab, topic_tab = st.tabs(['User frequency', + 'Redbox traffic', + 'Word frequency', + 'AI word frequency', + 'Route analysis', + 'Route transitions', + 'Topic modelling']) + +cha = ChatHistoryAnalysis() + +with user_freq_tab: + st.pyplot(cha.user_frequency_analysis()) + +with traffic_tab: + st.pyplot(cha.redbox_traffic_analysis()) + +with word_freq_tab: + st.pyplot(cha.user_word_frequency_analysis()) + +with ai_word_freq_tab: + st.pyplot(cha.ai_word_frequency_analysis()) + +with route_tab: + st.pyplot(cha.route_analysis()) + +with transitions_tab: + st.pyplot(cha.route_transitions()) + +with topic_tab: + with st.spinner('Fitting topic model...'): + cha.get_topics() + + st.plotly_chart(cha.visualise_topics()) + st.plotly_chart(cha.visualise_topics_over_time()) + st.plotly_chart(cha.visualise_barchart()) + st.plotly_chart(cha.visualise_hierarchy()) diff --git a/poetry.lock b/poetry.lock index 3804dab8d..ed8bceda4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -9858,6 +9858,84 @@ files = [ {file = "widgetsnbextension-4.0.11.tar.gz", hash = "sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474"}, ] +[[package]] +name = "wordcloud" +version = "1.9.3" +description = "A little word 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"f5553c27aad076b749dc8a44ce4e26eaa01c1d5b53501d98b93d44c4dd069cbf" diff --git a/pyproject.toml b/pyproject.toml index f7afa4d37..24953c1be 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,6 +30,7 @@ langchain-elasticsearch = "^0.2.0" seaborn = "^0.13.2" mock = "^5.1.0" +wordcloud = "^1.9.3" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From e4d1a817b928bb2ffa6b8ee67012200509962b60 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 19 Jul 2024 14:51:20 +0100 Subject: [PATCH 019/153] make User model configurable --- django_app/redbox_app/redbox_core/client.py | 34 +++- django_app/redbox_app/redbox_core/forms.py | 3 +- .../management/commands/show_magiclink_url.py | 7 +- django_app/redbox_app/redbox_core/models.py | 177 ++++++++++-------- django_app/redbox_app/settings.py | 3 + 5 files changed, 132 insertions(+), 92 deletions(-) diff --git a/django_app/redbox_app/redbox_core/client.py b/django_app/redbox_app/redbox_core/client.py index 7a44ddef6..c56109f4d 100644 --- a/django_app/redbox_app/redbox_core/client.py +++ b/django_app/redbox_app/redbox_core/client.py @@ -8,9 +8,10 @@ from botocore.exceptions import ClientError from dataclasses_json import Undefined, dataclass_json from django.conf import settings +from django.contrib.auth import get_user_model from yarl import URL -from redbox_app.redbox_core.models import User +User = get_user_model() logger = logging.getLogger(__name__) @@ -34,7 +35,9 @@ def s3_client(): try: client.create_bucket( Bucket=settings.BUCKET_NAME, - CreateBucketConfiguration={"LocationConstraint": settings.AWS_S3_REGION_NAME}, + CreateBucketConfiguration={ + "LocationConstraint": settings.AWS_S3_REGION_NAME + }, ) except ClientError as e: if e.response["Error"]["Code"] != "BucketAlreadyOwnedByYou": @@ -60,7 +63,14 @@ class CoreChatResponse: @dataclass(frozen=True) class FileStatus: processing_status: Literal[ - "uploaded", "parsing", "chunking", "embedding", "indexing", "complete", "unknown", "errored" + "uploaded", + "parsing", + "chunking", + "embedding", + "indexing", + "complete", + "unknown", + "errored", ] @@ -83,13 +93,19 @@ def url(self) -> URL: def upload_file(self, name: str, user: User) -> FileOperation: response = requests.post( - self.url / "file", json={"key": name}, headers={"Authorization": user.get_bearer_token()}, timeout=30 + self.url / "file", + json={"key": name}, + headers={"Authorization": user.get_bearer_token()}, + timeout=30, ) response.raise_for_status() return FileOperation.schema().loads(response.content) def rag_chat( - self, message_history: list[dict[str, str]], selected_files: list[dict[str, str]], user: User + self, + message_history: list[dict[str, str]], + selected_files: list[dict[str, str]], + user: User, ) -> CoreChatResponse: response = requests.post( self.url / "chat/rag", @@ -105,12 +121,16 @@ def rag_chat( def get_file_status(self, file_id: UUID, user: User) -> FileStatus: url = self.url / "file" / str(file_id) / "status" - response = requests.get(url, headers={"Authorization": user.get_bearer_token()}, timeout=60) + response = requests.get( + url, headers={"Authorization": user.get_bearer_token()}, timeout=60 + ) response.raise_for_status() return FileStatus.schema().loads(response.content) def delete_file(self, file_id: UUID, user: User) -> FileOperation: url = self.url / "file" / str(file_id) - response = requests.delete(url, headers={"Authorization": user.get_bearer_token()}, timeout=60) + response = requests.delete( + url, headers={"Authorization": user.get_bearer_token()}, timeout=60 + ) response.raise_for_status() return FileOperation.schema().loads(response.content) diff --git a/django_app/redbox_app/redbox_core/forms.py b/django_app/redbox_app/redbox_core/forms.py index 1bedbf698..99b6d1812 100644 --- a/django_app/redbox_app/redbox_core/forms.py +++ b/django_app/redbox_app/redbox_core/forms.py @@ -2,8 +2,9 @@ from typing import ClassVar from django import forms +from django.contrib.auth import get_user_model -from redbox_app.redbox_core.models import User +User = get_user_model() class SignInForm(forms.Form): diff --git a/django_app/redbox_app/redbox_core/management/commands/show_magiclink_url.py b/django_app/redbox_app/redbox_core/management/commands/show_magiclink_url.py index 51638a389..1ad1df74a 100644 --- a/django_app/redbox_app/redbox_core/management/commands/show_magiclink_url.py +++ b/django_app/redbox_app/redbox_core/management/commands/show_magiclink_url.py @@ -1,11 +1,12 @@ import logging from argparse import ArgumentParser +from django.contrib.auth import get_user_model from django.core.management import BaseCommand, CommandError from django.db.models import Max from magic_link.models import MagicLink -from redbox_app.redbox_core.models import User +User = get_user_model() logger = logging.getLogger(__name__) @@ -27,7 +28,9 @@ def handle(self, **options): raise CommandError(message) from e try: - latest = MagicLink.objects.filter(user=user).aggregate(Max("created_at"))["created_at__max"] + latest = MagicLink.objects.filter(user=user).aggregate(Max("created_at"))[ + "created_at__max" + ] logger.debug("latest: %s", latest) link: MagicLink = MagicLink.objects.get(user=user, created_at=latest) except MagicLink.DoesNotExist as e: diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index 575ba8a73..a5cf65d4c 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -42,7 +42,8 @@ class BusinessUnit(UUIDPrimaryKeyBase): def __str__(self) -> str: # pragma: no cover return f"{self.name}" -class RedboxUserManager(BaseUserManager): + +class SSOUserManager(BaseUserManager): use_in_migrations = True @@ -50,8 +51,8 @@ def _create_user(self, username, password, **extra_fields): """Create and save a User with the given email and password.""" if not username: raise ValueError("The given email must be set") - #email = self.normalize_email(email) - User = self.model(email=email, **extra_fields) + # email = self.normalize_email(email) + User = self.model(email=username, **extra_fields) User.set_password(password) User.save(using=self._db) return User @@ -74,7 +75,8 @@ def create_superuser(self, username, password, **extra_fields): return self._create_user(username, password, **extra_fields) -class User(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): + +class SSOUser(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): username = models.EmailField(unique=True, default="default@default.co.uk") password = models.CharField(default="fakepassword") email = models.EmailField(unique=True) @@ -84,13 +86,92 @@ class User(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): is_active = models.BooleanField(default=True) is_superuser = models.BooleanField(default=False) date_joined = models.DateTimeField(default=timezone.now) - business_unit = models.ForeignKey(BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL) + business_unit = models.ForeignKey( + BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL + ) grade = models.CharField(null=True, blank=True, max_length=3) profession = models.CharField(null=True, blank=True, max_length=4) - USERNAME_FIELD = 'username' + USERNAME_FIELD = "username" REQUIRED_FIELDS = [] - objects = RedboxUserManager() + objects = SSOUserManager() + + def __str__(self) -> str: # pragma: no cover + return f"{self.email}" + + def save(self, *args, **kwargs): + self.email = self.email.lower() + super().save(*args, **kwargs) + + def get_bearer_token(self) -> str: + """the bearer token expected by the core-api""" + user_uuid = str(self.id) + bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) + return f"Bearer {bearer_token}" + + +class User(BaseUser, UUIDPrimaryKeyBase): + class UserGrade(models.TextChoices): + AA = "AA", _("AA") + AO = "AO", _("AO") + DEPUTY_DIRECTOR = "DD", _("Deputy Director") + DIRECTOR = "D", _("Director") + DIRECTOR_GENERAL = "DG", _("Director General") + EO = "EO", _("EO") + G6 = "G6", _("G6") + G7 = "G7", _("G7") + HEO = "HEO", _("HEO") + PS = "PS", _("Permanent Secretary") + SEO = "SEO", _("SEO") + OT = "OT", _("Other") + + class Profession(models.TextChoices): + AN = "AN", _("Analysis") + CM = "CMC", _("Commercial") + COM = "COM", _("Communications") + CFIN = "CFIN", _("Corporate finance") + CF = "CF", _("Counter fraud") + DDT = "DDT", _("Digital, data and technology") + EC = "EC", _("Economics") + FIN = "FIN", _("Finance") + FEDG = "FEDG", _("Fraud, error, debts and grants") + HR = "HR", _("Human resources") + IA = "IA", _("Intelligence analysis") + IAUD = "IAUD", _("Internal audit") + IT = "IT", _("International trade") + KIM = "KIM", _("Knowledge and information management") + LG = "LG", _("Legal") + MD = "MD", _("Medical") + OP = "OP", _("Occupational psychology") + OD = "OD", _("Operational delivery") + OR = "OR", _("Operational research") + PL = "PL", _("Planning") + PI = "PI", _("Planning inspection") + POL = "POL", _("Policy") + PD = "PD", _("Project delivery") + PR = "PR", _("Property") + SE = "SE", _("Science and engineering") + SC = "SC", _("Security") + SR = "SR", _("Social research") + ST = "ST", _("Statistics") + TX = "TX", _("Tax") + VET = "VET", _("Veterinary") + OT = "OT", _("Other") + + username = None + verified = models.BooleanField(default=False, blank=True, null=True) + invited_at = models.DateTimeField(default=None, blank=True, null=True) + invite_accepted_at = models.DateTimeField(default=None, blank=True, null=True) + last_token_sent_at = models.DateTimeField(editable=False, blank=True, null=True) + password = models.CharField("password", max_length=128, blank=True, null=True) + business_unit = models.ForeignKey( + BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL + ) + grade = models.CharField(null=True, blank=True, max_length=3, choices=UserGrade) + profession = models.CharField( + null=True, blank=True, max_length=4, choices=Profession + ) + objects = BaseUserManager() def __str__(self) -> str: # pragma: no cover return f"{self.email}" @@ -103,79 +184,7 @@ def get_bearer_token(self) -> str: """the bearer token expected by the core-api""" user_uuid = str(self.id) bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) - return f"Bearer {bearer_token}" - -# class User(BaseUser, UUIDPrimaryKeyBase): -# class UserGrade(models.TextChoices): -# AA = "AA", _("AA") -# AO = "AO", _("AO") -# DEPUTY_DIRECTOR = "DD", _("Deputy Director") -# DIRECTOR = "D", _("Director") -# DIRECTOR_GENERAL = "DG", _("Director General") -# EO = "EO", _("EO") -# G6 = "G6", _("G6") -# G7 = "G7", _("G7") -# HEO = "HEO", _("HEO") -# PS = "PS", _("Permanent Secretary") -# SEO = "SEO", _("SEO") -# OT = "OT", _("Other") - -# class Profession(models.TextChoices): -# AN = "AN", _("Analysis") -# CM = "CMC", _("Commercial") -# COM = "COM", _("Communications") -# CFIN = "CFIN", _("Corporate finance") -# CF = "CF", _("Counter fraud") -# DDT = "DDT", _("Digital, data and technology") -# EC = "EC", _("Economics") -# FIN = "FIN", _("Finance") -# FEDG = "FEDG", _("Fraud, error, debts and grants") -# HR = "HR", _("Human resources") -# IA = "IA", _("Intelligence analysis") -# IAUD = "IAUD", _("Internal audit") -# IT = "IT", _("International trade") -# KIM = "KIM", _("Knowledge and information management") -# LG = "LG", _("Legal") -# MD = "MD", _("Medical") -# OP = "OP", _("Occupational psychology") -# OD = "OD", _("Operational delivery") -# OR = "OR", _("Operational research") -# PL = "PL", _("Planning") -# PI = "PI", _("Planning inspection") -# POL = "POL", _("Policy") -# PD = "PD", _("Project delivery") -# PR = "PR", _("Property") -# SE = "SE", _("Science and engineering") -# SC = "SC", _("Security") -# SR = "SR", _("Social research") -# ST = "ST", _("Statistics") -# TX = "TX", _("Tax") -# VET = "VET", _("Veterinary") -# OT = "OT", _("Other") - -# username = None -# verified = models.BooleanField(default=False, blank=True, null=True) -# invited_at = models.DateTimeField(default=None, blank=True, null=True) -# invite_accepted_at = models.DateTimeField(default=None, blank=True, null=True) -# last_token_sent_at = models.DateTimeField(editable=False, blank=True, null=True) -# password = models.CharField("password", max_length=128, blank=True, null=True) -# business_unit = models.ForeignKey(BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL) -# grade = models.CharField(null=True, blank=True, max_length=3, choices=UserGrade) -# profession = models.CharField(null=True, blank=True, max_length=4, choices=Profession) -# objects = BaseUserManager() - -# def __str__(self) -> str: # pragma: no cover -# return f"{self.email}" - -# def save(self, *args, **kwargs): -# self.email = self.email.lower() -# super().save(*args, **kwargs) - -# def get_bearer_token(self) -> str: -# """the bearer token expected by the core-api""" -# user_uuid = str(self.id) -# bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) -# return f"Bearer {bearer_token}" + return f"Bearer {bearer_token}" class StatusEnum(models.TextChoices): @@ -210,7 +219,9 @@ def save(self, *args, **kwargs): self.last_referenced = timezone.now() super().save(*args, **kwargs) - def delete(self, using=None, keep_parents=False): # noqa: ARG002 # remove at Python 3.12 + def delete( + self, using=None, keep_parents=False + ): # noqa: ARG002 # remove at Python 3.12 # Needed to make sure no orphaned files remain in the storage self.original_file.storage.delete(self.original_file.name) super().delete() @@ -317,7 +328,9 @@ class ChatMessage(UUIDPrimaryKeyBase, TimeStampedModel): related_name="chat_messages", blank=True, ) - selected_files = models.ManyToManyField(File, related_name="+", symmetrical=False, blank=True) + selected_files = models.ManyToManyField( + File, related_name="+", symmetrical=False, blank=True + ) source_files = models.ManyToManyField(File, through=Citation) def __str__(self) -> str: # pragma: no cover diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 3606c5df7..70a223cda 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -72,8 +72,11 @@ "import_export", ] +AUTH_USER_MODEL = "redbox_core.User" + if LOGIN_METHOD == "sso": INSTALLED_APPS.append("authbroker_client") + AUTH_USER_MODEL = "redbox_core.SSOUser" MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", From 180440a63d898f719258ac23fca4714b919a9ec9 Mon Sep 17 00:00:00 2001 From: Natasha Boyse Date: Mon, 22 Jul 2024 14:21:21 +0100 Subject: [PATCH 020/153] WIP: Creating docker image for streamlit app --- .../management/commands/run_streamlit_app.py | 11 + django_app/redbox_app/redbox_core/views.py | 7 +- .../redbox_app/templates/streamlit_app.html | 8 + django_app/redbox_app/urls.py | 1 + docker-compose.yml | 26 ++ notebooks/evaluation/Dockerfile | 35 ++ notebooks/evaluation/__init__.py | 0 notebooks/evaluation/app.py | 3 +- poetry.lock | 348 +++++++++++++++++- pyproject.toml | 2 + 10 files changed, 438 insertions(+), 3 deletions(-) create mode 100644 django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py create mode 100644 django_app/redbox_app/templates/streamlit_app.html create mode 100644 notebooks/evaluation/Dockerfile create mode 100644 notebooks/evaluation/__init__.py diff --git a/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py b/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py new file mode 100644 index 000000000..8be505577 --- /dev/null +++ b/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py @@ -0,0 +1,11 @@ +import subprocess + +from django.core.management.base import BaseCommand + + +class Command(BaseCommand): + help = 'Run the Streamlit app' + + def handle(self, *args, **kwargs): + self.stdout.write(self.style.SUCCESS('Starting Streamlit app...')) + subprocess.run(['streamlit', 'run', 'notebooks/embeddings/app.py']) \ No newline at end of file diff --git a/django_app/redbox_app/redbox_core/views.py b/django_app/redbox_app/redbox_core/views.py index d1aa23133..7cdf2fdc1 100644 --- a/django_app/redbox_app/redbox_core/views.py +++ b/django_app/redbox_app/redbox_core/views.py @@ -4,7 +4,7 @@ from pathlib import Path from django.conf import settings -from django.contrib.auth.decorators import login_required +from django.contrib.auth.decorators import login_required, user_passes_test from django.core.exceptions import FieldError, ValidationError from django.core.files.uploadedfile import UploadedFile from django.db.models import Min, Prefetch @@ -386,3 +386,8 @@ class DemographicsView(UpdateView): def get_object(self, **kwargs): # noqa: ARG002 return self.request.user + + +# @user_passes_test(lambda u: u.is_superuser) +def streamlit_view(request): + return render(request, 'streamlit_app.html') diff --git a/django_app/redbox_app/templates/streamlit_app.html b/django_app/redbox_app/templates/streamlit_app.html new file mode 100644 index 000000000..5ca2f220b --- /dev/null +++ b/django_app/redbox_app/templates/streamlit_app.html @@ -0,0 +1,8 @@ +{% extends "base.html" %} + +{% set pageTitle = "Streamlit App" %} + +{% block content %} + + +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/urls.py b/django_app/redbox_app/urls.py index 5ff06a671..fe5536b85 100644 --- a/django_app/redbox_app/urls.py +++ b/django_app/redbox_app/urls.py @@ -54,6 +54,7 @@ path("file-status/", views.file_status_api_view, name="file-status"), path("check-demographics/", views.CheckDemographicsView.as_view(), name="check-demographics"), path("demographics/", views.DemographicsView.as_view(), name="demographics"), + path("streamlit/", views.streamlit_view, name="streamlit_view"), ] urlpatterns = ( diff --git a/docker-compose.yml b/docker-compose.yml index 5585f26d1..d3723916d 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,3 +1,5 @@ +version: '3' + services: django-app: image: django-app:latest @@ -26,6 +28,22 @@ services: timeout: 30s retries: 24 start_period: 60s + + streamlit-app: + image: streamlit-app:latest + build: + context: . + dockerfile: ./notebooks/evaluation/Dockerfile + ports: + - "8501:8501" + networks: + - redbox-app-network + env_file: + - .env + volumes: + - ./notebooks/evaluation:/app/notebooks/evaluation + + db: image: postgres:13 env_file: @@ -42,6 +60,7 @@ services: timeout: 30s retries: 24 start_period: 30s + requirements: image: python:3.11 profiles: @@ -79,6 +98,7 @@ services: networks: - redbox-app-network restart: unless-stopped + core-api: image: redbox-core-api:latest build: @@ -110,6 +130,7 @@ services: timeout: 30s retries: 24 start_period: 60s + minio: image: minio/minio expose: @@ -133,6 +154,7 @@ services: timeout: 30s retries: 24 start_period: 30s + elasticsearch: image: elasticsearch:8.12.0 volumes: @@ -158,6 +180,7 @@ services: timeout: 30s retries: 24 start_period: 60s + kibana: image: kibana:8.12.0 ports: @@ -174,6 +197,7 @@ services: elasticsearch: condition: service_healthy restart: unless-stopped + redis: image: redis:7-alpine restart: always @@ -192,6 +216,7 @@ services: retries: 24 start_period: 60s + networks: redbox-app-network: driver: bridge @@ -204,3 +229,4 @@ volumes: redis: driver: local redis-insight: + streamlit-app: diff --git a/notebooks/evaluation/Dockerfile b/notebooks/evaluation/Dockerfile new file mode 100644 index 000000000..85dfc97e9 --- /dev/null +++ b/notebooks/evaluation/Dockerfile @@ -0,0 +1,35 @@ +FROM python:3.11-buster as builder + +WORKDIR /app/ + +RUN pip install poetry + +ENV POETRY_NO_INTERACTION=1 \ + POETRY_VIRTUALENVS_IN_PROJECT=1 \ + POETRY_VIRTUALENVS_CREATE=1 \ + POETRY_CACHE_DIR=/tmp/poetry_cache + +ADD pyproject.toml poetry.lock /app/ +ADD redbox-core /app/redbox-core +ADD README.md /app/README.md + +COPY notebooks/evaluation/app.py /app/ + +RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi + +FROM python:3.11-slim as runtime + +WORKDIR /app/ + +RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null + +ENV VIRTUAL_ENV=/app/.venv \ + PATH="/app/.venv/bin:$PATH" + +COPY --from=builder /app/.venv /app/.venv + +COPY notebooks/evaluation /app/notebooks/evaluation + +EXPOSE 8501 + +CMD ["streamlit", "run", "notebooks/evaluation/app.py", "--server.port=8501", "--server.address=0.0.0.0"] diff --git a/notebooks/evaluation/__init__.py b/notebooks/evaluation/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py index 44f36c415..6e56b7332 100644 --- a/notebooks/evaluation/app.py +++ b/notebooks/evaluation/app.py @@ -1,6 +1,7 @@ -from analysis_of_chat_history import ChatHistoryAnalysis import streamlit as st +from analysis_of_chat_history import ChatHistoryAnalysis + st.set_page_config(page_title = 'Redbox Chat Analysis', layout = 'centered') st.set_option('deprecation.showPyplotGlobalUse', False) st.title('Redbox Chat History Dashboard') diff --git a/poetry.lock b/poetry.lock index ed8bceda4..f9168feed 100644 --- a/poetry.lock +++ b/poetry.lock @@ -109,6 +109,30 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "altair" +version = "5.3.0" +description = "Vega-Altair: A declarative statistical visualization library for Python." +optional = false +python-versions = ">=3.8" +files = [ + {file = "altair-5.3.0-py3-none-any.whl", hash = "sha256:7084a1dab4d83c5e7e5246b92dc1b4451a6c68fd057f3716ee9d315c8980e59a"}, + {file = "altair-5.3.0.tar.gz", hash = "sha256:5a268b1a0983b23d8f9129f819f956174aa7aea2719ed55a52eba9979b9f6675"}, +] + +[package.dependencies] +jinja2 = "*" +jsonschema = ">=3.0" +numpy = "*" +packaging = "*" +pandas = ">=0.25" +toolz = "*" + +[package.extras] +all = ["altair-tiles (>=0.3.0)", 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">=10.14.0,<14" +tenacity = ">=8.1.0,<9" +toml = ">=0.10.1,<2" +tornado = ">=6.0.3,<7" +typing-extensions = ">=4.3.0,<5" +watchdog = {version = ">=2.1.5,<5", markers = "platform_system != \"Darwin\""} + +[package.extras] +snowflake = ["snowflake-connector-python (>=2.8.0)", "snowflake-snowpark-python (>=0.9.0)"] + [[package]] name = "sympy" version = "1.12.1" @@ -8818,6 +9118,28 @@ dev = ["tokenizers[testing]"] docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"] testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"] +[[package]] +name = "toml" +version = "0.10.2" +description = "Python Library for Tom's Obvious, Minimal Language" +optional = false +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"}, + {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"}, +] + +[[package]] +name = "toolz" +version = "0.12.1" +description = "List processing tools and functional utilities" +optional = false +python-versions = ">=3.7" +files = [ + {file = "toolz-0.12.1-py3-none-any.whl", hash = "sha256:d22731364c07d72eea0a0ad45bafb2c2937ab6fd38a3507bf55eae8744aa7d85"}, + {file = "toolz-0.12.1.tar.gz", hash = "sha256:ecca342664893f177a13dac0e6b41cbd8ac25a358e5f215316d43e2100224f4d"}, +] + [[package]] name = "torch" version = "2.2.2" @@ -9274,6 +9596,30 @@ files = [ {file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"}, ] +[[package]] +name = "umap-learn" +version = "0.5.6" +description = "Uniform Manifold Approximation and Projection" +optional = false +python-versions = "*" +files = [ + {file = "umap-learn-0.5.6.tar.gz", hash = "sha256:5b3917a862c23ba0fc83bfcd67a7b719dec85b3d9c01fdc7d894cce455df4e03"}, + {file = "umap_learn-0.5.6-py3-none-any.whl", hash = "sha256:881cc0c2ee845b790bf0455aa1664f9f68b838d9d0fe12a1291b85c5a559c913"}, +] + +[package.dependencies] +numba = ">=0.51.2" +numpy = ">=1.17" +pynndescent = ">=0.5" +scikit-learn = ">=0.22" +scipy = ">=1.3.1" +tqdm = "*" + +[package.extras] +parametric-umap = ["tensorflow (>=2.1)"] +plot = ["bokeh", "colorcet", "datashader", "holoviews", "matplotlib", "pandas", "scikit-image", "seaborn"] +tbb = ["tbb (>=2019.0)"] + [[package]] name = "unstructured" version = "0.14.8" @@ -10291,4 +10637,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "f5553c27aad076b749dc8a44ce4e26eaa01c1d5b53501d98b93d44c4dd069cbf" +content-hash = "b388c1210bdbcd7234ab36d783addb56bd6c28ab3e3199e9dd5949976f2fd466" diff --git a/pyproject.toml b/pyproject.toml index 24953c1be..9c04dd2a6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,6 +31,8 @@ langchain-elasticsearch = "^0.2.0" seaborn = "^0.13.2" mock = "^5.1.0" wordcloud = "^1.9.3" +bertopic = "^0.16.2" +streamlit = "^1.36.0" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From 14e71f4cb4e35c3bbcf0a87747903133c0622e3c Mon Sep 17 00:00:00 2001 From: Natasha Boyse Date: Mon, 22 Jul 2024 17:08:49 +0100 Subject: [PATCH 021/153] major WIP --- django_app/redbox_app/redbox_core/views.py | 5 +- django_app/redbox_app/settings.py | 3 + .../redbox_app/templates/streamlit_app.html | 2 +- notebooks/evaluation/Dockerfile | 13 +++- .../evaluation/analysis_of_chat_history.py | 72 +++++++++++++++---- poetry.lock | 18 ++++- pyproject.toml | 1 + 7 files changed, 95 insertions(+), 19 deletions(-) diff --git a/django_app/redbox_app/redbox_core/views.py b/django_app/redbox_app/redbox_core/views.py index 7cdf2fdc1..4d20a794b 100644 --- a/django_app/redbox_app/redbox_core/views.py +++ b/django_app/redbox_app/redbox_core/views.py @@ -390,4 +390,7 @@ def get_object(self, **kwargs): # noqa: ARG002 # @user_passes_test(lambda u: u.is_superuser) def streamlit_view(request): - return render(request, 'streamlit_app.html') + context = { + 'streamlit_host': settings.STREAMLIT_HOST + } + return render(request, 'streamlit_app.html', context) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 3606c5df7..d4fb5384d 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -178,6 +178,7 @@ ) CSP_STYLE_SRC = ("'self'",) CSP_FRAME_ANCESTORS = ("'none'",) +CSP_FRAME_SRC = ("'self'", env.str("STREAMLIT_HOST")) CSP_CONNECT_SRC = ["'self'", f"wss://{env_hosts[0]}/ws/chat/", "plausible.io"] # https://pypi.org/project/django-permissions-policy/ @@ -362,3 +363,5 @@ else: LOGIN_REDIRECT_URL = "homepage" LOGIN_URL = "sign-in" + +STREAMLIT_HOST = env.str("STREAMLIT_HOST") diff --git a/django_app/redbox_app/templates/streamlit_app.html b/django_app/redbox_app/templates/streamlit_app.html index 5ca2f220b..4cf815679 100644 --- a/django_app/redbox_app/templates/streamlit_app.html +++ b/django_app/redbox_app/templates/streamlit_app.html @@ -4,5 +4,5 @@ {% block content %} - + {% endblock %} \ No newline at end of file diff --git a/notebooks/evaluation/Dockerfile b/notebooks/evaluation/Dockerfile index 85dfc97e9..f49b25940 100644 --- a/notebooks/evaluation/Dockerfile +++ b/notebooks/evaluation/Dockerfile @@ -12,11 +12,18 @@ ENV POETRY_NO_INTERACTION=1 \ ADD pyproject.toml poetry.lock /app/ ADD redbox-core /app/redbox-core ADD README.md /app/README.md +COPY ../../django_app /app/django_app +COPY django_app/pyproject.toml django_app/poetry.lock /app/django_app/ -COPY notebooks/evaluation/app.py /app/ +RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi +WORKDIR /app/django_app RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi +WORKDIR /app + +COPY notebooks/evaluation/app.py /app/ + FROM python:3.11-slim as runtime WORKDIR /app/ @@ -24,11 +31,13 @@ WORKDIR /app/ RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null ENV VIRTUAL_ENV=/app/.venv \ - PATH="/app/.venv/bin:$PATH" + PATH="/app/.venv/bin:$PATH" \ + PYTHONPATH="/app/django_app" COPY --from=builder /app/.venv /app/.venv COPY notebooks/evaluation /app/notebooks/evaluation +COPY --from=builder /app/django_app /app/django_app EXPOSE 8501 diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index a1d3e5782..a660fd3fd 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -6,14 +6,28 @@ from collections import Counter from pathlib import Path -import matplotlib.pyplot as plt import matplotlib as mpl +import matplotlib.pyplot as plt +import numpy as np import pandas as pd import seaborn as sns -import numpy as np +from bertopic import BERTopic +from django.db.models import F, Prefetch from regex import D from wordcloud import STOPWORDS, WordCloud -from bertopic import BERTopic + +packages = ["django-environ", "django-use-email-as-username", 'psycopg2-binary', 'django-magic-link', 'django-single-session', 'django-compressor'] +import pip + +for package in packages: + pip.main(['install', package]) + +import django + +django.setup() + +from redbox_app.redbox_core.models import ChatHistory, ChatMessage + class ChatHistoryAnalysis(): def __init__(self) -> None: @@ -26,12 +40,15 @@ def __init__(self) -> None: os.makedirs(self.visualisation_dir, exist_ok=True) os.makedirs(self.table_dir, exist_ok=True) - # IMPORTANT - For this to work you must save your chat history CSV dump in notebooks/evaluation/data/chat_histories - file_path = self.latest_chat_history_file() - self.chat_logs = pd.read_csv(file_path) + self.chat_logs = self.fetch_chat_history() + import logging + logging.basicConfig(level=logging.INFO) + logger = logging.getLogger() + logger.info('hello123456') + logger.info(self.chat_logs.columns.values) # Select specific columns and converting to readable timestamp - self.chat_logs = self.chat_logs[['created_at', 'users', 'chat_history', 'text', 'role', 'id']] + self.chat_logs = self.chat_logs[['created_at', 'users_id', 'user_email', 'chat_history', 'text', 'role', 'message_id']] self.chat_logs['created_at'] = pd.to_datetime(self.chat_logs['created_at']) self.ai_responses = self.chat_logs[self.chat_logs['role'] == 'ai'] @@ -50,10 +67,37 @@ def __init__(self) -> None: mpl.rcParams.update({'font.size': 10}) mpl.rcParams.update({'font.family': 'Arial'}) - def latest_chat_history_file(self): - chat_history_folder = glob.glob(f'{self.evaluation_dir}/data/chat_histories/*') - latest_file = max(chat_history_folder, key=os.path.getctime) - return latest_file + def fetch_chat_history(self, limit=100): + chat_messages = ChatMessage.objects.all() + chat_history_objects = ChatHistory.objects.prefetch_related( + Prefetch('messages', queryset=chat_messages) + ).annotate( + user_email=F('users__email') + ).values( + 'created_at', + 'users_id', + 'user_email', + chat_history=F('id'), + )[:limit] + + results = [] + for chat_history in chat_history_objects: + messages = ChatMessage.objects.filter(chat_history=chat_history['chat_history']).values('text', 'role', 'id') + for message in messages: + result = { + 'created_at': chat_history['created_at'], + 'users_id': chat_history['users_id'], + 'user_email': chat_history['user_email'], + 'chat_history': chat_history['chat_history'], + 'text': message['text'], + 'role': message['role'], + 'message_id': message['id'] + } + results.append(result) + + df = pd.DataFrame(results) + return df + def preprocess_text(self, text): tokens = text.split() @@ -62,7 +106,7 @@ def preprocess_text(self, text): # 1) Who uses Redbox the most? def user_frequency_analysis(self): - user_counts = self.chat_logs['users'].value_counts() + user_counts = self.chat_logs['user_email'].value_counts() user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in user_counts.index] wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] @@ -199,7 +243,7 @@ def route_analysis(self): # df = df.drop_duplicates(['text']) # User names - user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.users] + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.user_email] wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] df['user_name'] = wrapped_user_name @@ -234,7 +278,7 @@ def get_route_transitions(self, df): def route_transitions(self): # Get route transitions and counts per user session (is 'id' appropriate?) - df_transitions = self.user_responses.groupby('id').apply(self.get_route_transitions).reset_index(drop=True) + df_transitions = self.user_responses.groupby('users_id').apply(self.get_route_transitions).reset_index(drop=True) transition_counts = df_transitions['transition'].value_counts().reset_index() diff --git a/poetry.lock b/poetry.lock index f9168feed..fb89a3502 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1848,6 +1848,22 @@ tzdata = {version = "*", markers = "sys_platform == \"win32\""} argon2 = ["argon2-cffi (>=19.1.0)"] bcrypt = ["bcrypt"] +[[package]] +name = "django-environ" +version = "0.11.2" +description = "A package that allows you to utilize 12factor inspired environment variables to configure your Django application." +optional = false +python-versions = ">=3.6,<4" +files = [ + {file = "django-environ-0.11.2.tar.gz", hash = "sha256:f32a87aa0899894c27d4e1776fa6b477e8164ed7f6b3e410a62a6d72caaf64be"}, + {file = "django_environ-0.11.2-py2.py3-none-any.whl", hash = "sha256:0ff95ab4344bfeff693836aa978e6840abef2e2f1145adff7735892711590c05"}, +] + +[package.extras] +develop = ["coverage[toml] (>=5.0a4)", "furo (>=2021.8.17b43,<2021.9.dev0)", "pytest (>=4.6.11)", "sphinx (>=3.5.0)", "sphinx-notfound-page"] +docs = ["furo (>=2021.8.17b43,<2021.9.dev0)", "sphinx (>=3.5.0)", "sphinx-notfound-page"] +testing = ["coverage[toml] (>=5.0a4)", "pytest (>=4.6.11)"] + [[package]] name = "django-extensions" version = "3.2.3" @@ -10637,4 +10653,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "b388c1210bdbcd7234ab36d783addb56bd6c28ab3e3199e9dd5949976f2fd466" +content-hash = "a85bcfea8d60556df8ed2bcf3114ee0f3f8ee995f5f9b2975fc08ba356f497da" diff --git a/pyproject.toml b/pyproject.toml index 9c04dd2a6..ec1e677e4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,6 +33,7 @@ mock = "^5.1.0" wordcloud = "^1.9.3" bertopic = "^0.16.2" streamlit = "^1.36.0" +django-environ = "^0.11.2" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From 9b34b799b7627786dddae6017293603d34ebc736 Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Tue, 23 Jul 2024 09:21:19 +0100 Subject: [PATCH 022/153] chat history eda notebook added --- notebooks/chat_log_eda.ipynb | 475 +++++++++++++++++++++++++++++++++++ 1 file changed, 475 insertions(+) create mode 100644 notebooks/chat_log_eda.ipynb diff --git a/notebooks/chat_log_eda.ipynb b/notebooks/chat_log_eda.ipynb new file mode 100644 index 000000000..b8a52eee5 --- /dev/null +++ b/notebooks/chat_log_eda.ipynb @@ -0,0 +1,475 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Chat History Inital EDA (17/07/24)\n", + "\n", + "**Intro** \n", + "\n", + "* This notebook is exploring the chat history logs for Redbox pulled on 17th July. \n", + "\n", + "* Populated columns of this data are 'id', 'created_at', 'modified_at', 'name', 'users', 'id.1', 'created_at.1', 'modified_at.1', 'chat_history', 'text', 'role'.\n", + "\n", + "* Aim of this work is to discover how users are using Redbox and find any other features that may be important to log.\n", + "\n", + "* **IMPORTANT** - For this to work you must save your chathistory.csv dump in notebooks/evaluation/data/chat_histories\n", + "\n", + "**Next Steps** \n", + "\n", + "* Want to get the actual Redbox route so we don't have to rely on inferred data\n", + "\n", + "* *Real* patterns hard to find due to limited data\n", + "\n", + "* Could be interested in how different LLM change user behaviour - would need to store this\n", + "\n", + "* Limitations right now are that we can't really tell whether a chat is successful (e.g. User gets intended output from Redbox). Creating a UI and measuring this would mean we could identify differences in user behaviour that lead to useful/unuseful outputs.\n", + "\n", + "* For RAG use, I'd be interested to see what documents work well or not. Maybe we don't want to store the whole document but maybe the size, type etc. Pairing this with a success variable could lead to interesting insights. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df = pd.read_csv('evaluation/data/chat_histories/chathistory.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df['role'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Ensuring date columns are stored as datetimes\n", + "date_cols = ['created_at', 'modified_at','created_at.1', 'modified_at.1']\n", + "for i in date_cols:\n", + " chathistory_df[i] = pd.to_datetime(chathistory_df[i])\n", + "chathistory_df.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Top users (inc. over time)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Pulling out user input rows only\n", + "# Identifying top users of redbox\n", + "user_inputs_df = chathistory_df[(chathistory_df['role']=='user')]\n", + "user_inputs_df['users'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# How has total redbox usage changed overtime\n", + "user_inputs_df.groupby(chathistory_df['modified_at'].rename('Days').dt.day).size().plot(ylabel='No. of prompts', title='Total Redbox Usage Over Time')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This shows a general increase in usage of redbox. \n", + "\n", + "Now, interested in increase/decrease by user." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import seaborn as sns\n", + "\n", + "# Plotting how each users usage has changed over time\n", + "pivot_user_time = user_inputs_df[['modified_at', 'users']].groupby(pd.Grouper(key='modified_at', axis=0, freq='2D', sort=True)).value_counts().reset_index(name='count').pivot(index='modified_at', columns='users', values='count')\n", + "fig = sns.lineplot(data=pivot_user_time, markers=True)\n", + "fig.set_xlabel('Date')\n", + "fig.set_ylabel('No. of Prompts')\n", + "fig.tick_params(axis='x', rotation=90)\n", + "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1), title='Users')\n", + "fig.set_title('Line graph to show number of prompts for each user over time')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Maybe not the best plot to use due to null entries, however, I think it shows trends in users usage and shows those users which have only used Redbox once.\n", + "\n", + "Next, interested to see whether users that aren't using it as frequently are using certain routes of Redbox to those who are, for example. \n", + "\n", + "Routes column is not currently populated so I have inferred this by identifying whether the user has used @chat, @summarise or otherwise." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Popularity of User Routes (inc. process map)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating the inferred routes from the text column \n", + "def routes(row):\n", + " if '@chat' in row['text']:\n", + " val = 'chat'\n", + " elif '@summarise' in row['text']:\n", + " val = 'summarise'\n", + " else:\n", + " val = 'rag'\n", + " return val\n", + "\n", + "user_inputs_df['infer_route'] = user_inputs_df.apply(routes, axis=1)\n", + "user_inputs_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating df of each users most popular prompt route\n", + "popular_routes = user_inputs_df[['users', 'infer_route']].value_counts().reset_index(name='count')\n", + "popular_routes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# sns.barplot(popular_routes['infer_route'].value_counts().reset_index(name='count'), x='infer_route', y='count', hue='infer_route', title='Most popular Routes')\n", + "popular_routes[['infer_route', 'count']].groupby('infer_route').sum().reset_index()\n", + "fig = sns.barplot(popular_routes[['infer_route', 'count']].groupby('infer_route').sum().reset_index(), x='infer_route', y='count', hue='infer_route')\n", + "fig.set_xlabel('Inferred Route')\n", + "fig.set_title('Bar plot to show most popular routes')\n", + "fig.set_ylabel('No. of Prompts')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = sns.barplot(data=popular_routes, x='users', y='count', hue='infer_route')\n", + "fig.tick_params(axis='x', rotation=90)\n", + "fig.set_xlabel('Users')\n", + "fig.set_title('Bar plot to show most popular routes by user')\n", + "fig.set_ylabel('No. of Prompts')\n", + "fig.legend(title='Inferred Route')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# See if theres a change in popular routes over time\n", + "route_over_time = user_inputs_df[['modified_at', 'infer_route']].groupby(pd.Grouper(key='modified_at', axis=0, freq='2D', sort=True)).value_counts().reset_index(name='count')\n", + "route_over_time" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = sns.lineplot(data=route_over_time, markers=True, x='modified_at', y='count', hue='infer_route')\n", + "fig.set_ylabel('No. of Prompts')\n", + "fig.set_xlabel('Date')\n", + "fig.tick_params(axis='x', rotation=90)\n", + "fig.legend(title='Inferred Route')\n", + "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1))\n", + "fig.set_title('Line graph to show number of inputs for each prompt type over time')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Shows that over the last couple of days, the chat function has overtaken summarise in terms of popularity. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Process Map \n", + "\n", + "Interested to see if theres any distinctive patterns between users, whether that effects their use of Redbox. It would be interesting to compare successful and unsuccessful routes if we measure this somehow so we can provide users with better training." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from pm4py.objects.conversion.log import converter as log_conversion_factory\n", + "from pm4py.algo.discovery.heuristics import algorithm as heuristics_miner\n", + "from pm4py.visualization.heuristics_net import visualizer as hn_visualizer\n", + "\n", + "def create_hnet_vis(event_df):\n", + "\n", + " # Convert DataFrame to pm4py event log format\n", + " event_df.columns = ['case:concept:name', 'time:timestamp', 'concept:name']\n", + " log = log_conversion_factory.apply(event_df)\n", + "\n", + " # Discover Heuristic Net\n", + " heu_net = heuristics_miner.apply_heu(log)\n", + "\n", + " # Visualize Heuristic Net\n", + " gviz = hn_visualizer.apply(heu_net)\n", + " hn_visualizer.view(gviz)\n", + "\n", + "\n", + "route_map_df = user_inputs_df[['id', 'modified_at', 'infer_route']]\n", + "create_hnet_vis(route_map_df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating a process map for each user.\n", + "for i in user_inputs_df['users'].unique():\n", + " user_input_df_filter = user_inputs_df[user_inputs_df['users']==i]\n", + " route_map_df = user_input_df_filter[['id', 'modified_at', 'infer_route']]\n", + " print(i)\n", + " create_hnet_vis(route_map_df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prompt detail effects\n", + "\n", + "I'm assuming that each chat ends 'successfully' (quite flawed) but want to see whether the level of detail (currently measuring this by word length but could use more advanced metrics) effects how many prompts a user needs to try before they are done with Redbox. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating column for number of words\n", + "user_inputs_df['no_input_words'] = user_inputs_df[\"text\"].apply(lambda n: len(n.split()))\n", + "user_inputs_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = sns.displot(user_inputs_df.no_input_words)\n", + "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Seems to be an anomaly over 1400 words, removing this to see distribution of rest." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sns.histplot(user_inputs_df[user_inputs_df['no_input_words']<700]['no_input_words'])\n", + "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# How does this vary between users\n", + "fig = sns.displot(\n", + " user_inputs_df[user_inputs_df['no_input_words']<700],\n", + " x=\"no_input_words\", \n", + " col=\"users\", col_wrap=4, height=4,\n", + ")\n", + "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# How does this vary between users and routes\n", + "fig = sns.displot(\n", + " user_inputs_df[user_inputs_df['no_input_words']<700],\n", + " x=\"no_input_words\", hue='infer_route',\n", + " col=\"users\", col_wrap=4, height=4,\n", + ")\n", + "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "no_inputs_df = user_inputs_df[[\"id\", \"users\"]].groupby(\"id\").value_counts().reset_index(name='no_inputs')\n", + "no_inputs_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mean_inputs_df = user_inputs_df[[\"id\", \"users\", \"no_input_words\"]].groupby(by=['id', 'users']).agg({'no_input_words': 'mean'}).rename(columns={'no_input_words':'mean_input_words'}).reset_index()\n", + "mean_inputs_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "compare_inputs_words_df = no_inputs_df.merge(mean_inputs_df, left_on=['id', 'users'], right_on=['id', 'users'])\n", + "\n", + "# Remove anomaly to see if pattern more clearly - maybe should have been done before calculating the mean\n", + "fig = sns.scatterplot(\n", + " data=compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200],\n", + " x='no_inputs',\n", + " y='mean_input_words',\n", + " hue='users')\n", + "fig.set_xlabel('No. of prompts')\n", + "fig.set_ylabel('Mean length of prompt')\n", + "fig.set_title('Scatter plot comparing number of prompts with the length of prompt for each user session')\n", + "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# A very weak negative col, potentially showing the more detailed input a user gives the less inputs they have to use in a session\n", + "compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200][['mean_input_words', 'no_inputs']].corr()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200].groupby('users')[['mean_input_words', 'no_inputs']].corr()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "redbox-MGCo560N-py3.11", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 654d967db01a562d31737b436ee3389caef18d8b Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Wed, 17 Jul 2024 10:38:15 +0100 Subject: [PATCH 023/153] feat: automate the existing RAG notebooks into one script (#3) Co-authored-by: Emily Lambert Co-authored-by: Natasha Boyse --- notebooks/__init__.py | 0 notebooks/evaluation/rag_experiments.py | 510 ++++++++++++++++++ .../evaluation/tests/test_rag_experiments.py | 212 ++++++++ poetry.lock | 48 +- pyproject.toml | 2 + 5 files changed, 770 insertions(+), 2 deletions(-) create mode 100644 notebooks/__init__.py create mode 100644 notebooks/evaluation/rag_experiments.py create mode 100644 notebooks/evaluation/tests/test_rag_experiments.py diff --git a/notebooks/__init__.py b/notebooks/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/notebooks/evaluation/rag_experiments.py b/notebooks/evaluation/rag_experiments.py new file mode 100644 index 000000000..d64f7fe4e --- /dev/null +++ b/notebooks/evaluation/rag_experiments.py @@ -0,0 +1,510 @@ +import json +import sys +from dataclasses import asdict +from operator import itemgetter +from pathlib import Path +from typing import Annotated + +import click +import jsonlines +import pandas as pd +import seaborn as sns +from deepeval import evaluate +from deepeval.dataset import EvaluationDataset +from deepeval.metrics import ( + AnswerRelevancyMetric, + ContextualPrecisionMetric, + ContextualRecallMetric, + ContextualRelevancyMetric, + FaithfulnessMetric, + HallucinationMetric, +) +from dotenv import find_dotenv, load_dotenv +from elasticsearch import Elasticsearch +from elasticsearch.helpers import bulk, scan +from fastapi import Depends +from langchain.globals import set_verbose +from langchain.schema import StrOutputParser +from langchain_community.chat_models import ChatLiteLLM +from langchain_core.retrievers import BaseRetriever +from langchain_core.runnables import ConfigurableField, Runnable, RunnableLambda, RunnablePassthrough +from langchain_core.vectorstores import VectorStoreRetriever +from scipy import stats +from tiktoken import Encoding + +# Temp hack - there is an issue with the importing of redbox-core +sys.path.append(str(Path(__file__).parents[2])) + +from core_api.src import dependencies +from core_api.src.dependencies import get_tokeniser +from core_api.src.format import format_documents +from core_api.src.retriever import ParameterisedElasticsearchRetriever +from core_api.src.runnables import make_chat_prompt_from_messages_runnable +from redbox.models import ChatRoute, Settings +from redbox.models.chain import ChainInput +from redbox.models.file import UUID +from redbox.models.settings import ElasticLocalSettings + +set_verbose(False) + + +_ = load_dotenv(find_dotenv()) + + +class GetExperimentResults: + """ + Class to handle experiment results retrieval and processing. + + Attributes: + data_version (str): Data version to be used in experiment + benchmark (bool): Benchmark stated or not + V_EMBEDDINGS (str): Embeddings version + V_ROOT (path): Path to where the root of experiment data lies + V_SYNTHETIC (path): Path to the synthetic data + V_RESULTS (path): Path to the results from data processing + MODEL (str): Embedding model + ES_CLIENT (func): Elastic search client from settings + INDEX (str): Index for the json lines file + experiment_name (str): Name of the experiment + """ + + def __init__(self): + self.data_version = None + self.benchmark = None + self.V_EMBEDDINGS = "" + self.V_ROOT = None + self.V_SYNTHETIC = None + self.V_RESULTS = None + self.MODEL = None + self.ES_CLIENT = None + self.INDEX = None + self.experiment_name = None + self.retrieval_system_prompt = None + self.retrieval_question_prompt = None + self.eval_results = None + self.ENV = Settings(minio_host="localhost", elastic=ElasticLocalSettings(host="localhost")) + self.LLM = ChatLiteLLM( + model="gpt-4o", + streaming=True, + ) + self.FILE_UUIDS = None + self.USER_UUID = UUID("aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa") + self.experiment_file_name = None + self.experiment_parameters = None + + def set_data_version(self, data_version): + """ + This function sets the necessary environment variables depending on your data version. + It assumes you have a versioned evaluation folder in your repository e.g. notebooks/evaluation/data/0.2.0 + This should be copied from the Redbox shared Google Drive. + This folder contains the raw files, QA sets, embeddings etc. + """ + self.data_version = data_version + root = Path(__file__).parents[2] + evaluation_dir = root / "notebooks/evaluation" + self.V_ROOT = evaluation_dir / f"data/{self.data_version}" + self.V_SYNTHETIC = self.V_ROOT / "synthetic" + self.V_RESULTS = self.V_ROOT / "results" + self.V_EMBEDDINGS = self.V_ROOT / "embeddings" + self.MODEL = self.ENV.embedding_model + self.INDEX = f"{self.data_version}-{self.MODEL}".lower() + self.ES_CLIENT = self.ENV.elasticsearch_client() + + def load_chunks_from_jsonl_to_index(self) -> set: + """ + This function takes the versioned embeddings (e.g. from notebooks/evaluation/data/0.2.0/embeddings) + and loads them to ElasticSearch. + """ + file_uuids = set() + file_path = self.V_EMBEDDINGS / f"{self.MODEL}.jsonl" + + with jsonlines.open(file_path, mode="r") as reader: + for chunk_raw in reader: + chunk = json.loads(chunk_raw) + self.ES_CLIENT.index( + index=self.INDEX, + id=chunk["uuid"], + body=chunk, + ) + + file_uuids.add(chunk["parent_file_uuid"]) + self.FILE_UUIDS = file_uuids + return file_uuids + + def clear_index(self) -> None: + """ + This function clears the indexes from ElasticSearch. + """ + if not self.ES_CLIENT.indices.exists(index=self.INDEX): + return None + + documents = list(scan(self.ES_CLIENT, index=self.INDEX, query={"query": {"match_all": {}}})) + bulk_data = [{"_op_type": "delete", "_index": doc["_index"], "_id": doc["_id"]} for doc in documents] + if bulk_data: + return bulk(self.ES_CLIENT, bulk_data, request_timeout=300) + return None + + def get_parameterised_retriever( + self, es: Annotated[Elasticsearch, Depends(dependencies.get_elasticsearch_client)] + ) -> BaseRetriever: + """ + Creates an Elasticsearch retriever runnable. + Runnable takes input of a dict keyed to question, file_uuids and user_uuid. + Runnable returns a list of Chunks. + """ + default_params = { + "size": self.ENV.ai.rag_k, + "num_candidates": self.ENV.ai.rag_num_candidates, + "match_boost": 1, + "knn_boost": 1, + "similarity_threshold": 0, + } + + return ParameterisedElasticsearchRetriever( + es_client=es, + index_name=self.INDEX, + params=default_params, + embedding_model=dependencies.get_embedding_model(self.ENV), + ).configurable_fields( + params=ConfigurableField( + id="params", + name="Retriever parameters", + description="A dictionary of parameters to use for the retriever.", + ) + ) + + def build_retrieval_chain( + self, + llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], + retriever: Annotated[VectorStoreRetriever, Depends(dependencies.get_parameterised_retriever)], + tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], + env: Annotated[Settings, Depends(dependencies.get_env)], + ) -> Runnable: + """ + This is an adaptation of core_api.src.build_chains.build_retrieval_chain. + Function experiements with different retrieval_system_prompt and retrieval_question_prompt. + """ + return ( + RunnablePassthrough.assign(documents=retriever) + | RunnablePassthrough.assign( + formatted_documents=(RunnablePassthrough() | itemgetter("documents") | format_documents) + ) + | { + "response": make_chat_prompt_from_messages_runnable( + system_prompt=str(self.retrieval_system_prompt), + question_prompt=str(self.retrieval_question_prompt), + input_token_budget=env.ai.context_window_size - env.llm_max_tokens, + tokeniser=tokeniser, + ) + | llm + | StrOutputParser(), + "source_documents": itemgetter("documents"), + "route_name": RunnableLambda(lambda _: ChatRoute.search.value), + } + ) + + def get_rag_results( + self, + question, + ) -> dict: + """ + Get Redbox response for a given question. + """ + retriever = self.get_parameterised_retriever(es=self.ES_CLIENT) + + chain = self.build_retrieval_chain(llm=self.LLM, retriever=retriever, tokeniser=get_tokeniser(), env=self.ENV) + + response = chain.invoke( + input=ChainInput( + question=question, + chat_history=[{"text": "", "role": "user"}], + file_uuids=list(self.FILE_UUIDS), + user_uuid=self.USER_UUID, + ).model_dump() + ) + + filtered_chunks = [] + + for chunk in response["source_documents"]: + dict_chunk = dict(chunk) + filtered_chunk = { + "page_content": dict_chunk["page_content"], + "page_number": dict_chunk["metadata"]["page_number"], + "parent_file_uuid": dict_chunk["metadata"]["parent_file_uuid"], + } + filtered_chunks.append(filtered_chunk) + + return {"output_text": response["response"], "source_documents": filtered_chunks} + + def write_rag_results(self) -> None: + """ + Format and write Redbox responses to evaluation dataset. + """ + + synthetic_df = pd.read_csv(f"{self.V_SYNTHETIC}/ragas_synthetic_data.csv") + inputs = synthetic_df["input"].tolist() + + df_function = synthetic_df.copy() + + actual_output = [] + retrieval_context = [] + + for question in inputs: + data = self.get_rag_results(question=question) + actual_output.append(data["output_text"]) + retrieval_context.append(data["source_documents"]) + + df_function["actual_output"] = actual_output + df_function["retrieval_context"] = retrieval_context + + df_function_clean = df_function.dropna() + df_function_clean.to_csv( + f"{self.V_SYNTHETIC}/{self.experiment_name}_complete_ragas_synthetic_data.csv", index=False + ) + + def do_evaluation(self) -> None: + """ + Calculate evaluation metrics for a synthetic RAGAS dataset, aggregate results + and write as CSV. + """ + + dataset = EvaluationDataset() + dataset.add_test_cases_from_csv_file( + file_path=f"{self.V_SYNTHETIC}/{self.experiment_name}_complete_ragas_synthetic_data.csv", + input_col_name="input", + actual_output_col_name="actual_output", + expected_output_col_name="expected_output", + context_col_name="context", + context_col_delimiter=";", + retrieval_context_col_name="retrieval_context", + retrieval_context_col_delimiter=";", + ) + + # Instantiate retrieval metrics + contextual_precision = ContextualPrecisionMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + contextual_recall = ContextualRecallMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + contextual_relevancy = ContextualRelevancyMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + # Instantiate generation metrics + answer_relevancy = AnswerRelevancyMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + faithfulness = FaithfulnessMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + hallucination = HallucinationMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + self.eval_results = evaluate( + test_cases=dataset, + metrics=[ + contextual_precision, + contextual_recall, + contextual_relevancy, + answer_relevancy, + faithfulness, + hallucination, + ], + ) + + return self.eval_results + + def write_evaluation_results(self) -> None: + """ + This function writes the evaluation results to a csv, identifiable by experiment_name. + """ + metric_type = { + "metric_name": [ + "Contextual Precision", + "Contextual Recall", + "Contextual Relevancy", + "Answer Relevancy", + "Faithfulness", + "Hallucination", + ], + "metric_type": ["retrieval", "retrieval", "retrieval", "generation", "generation", "generation"], + } + + evaluation = ( + pd.DataFrame.from_records(asdict(result) for result in self.eval_results) + .explode("metrics_metadata") + .reset_index(drop=True) + .assign( + metric_name=lambda df: df.metrics_metadata.apply(getattr, args=["metric"]), + score=lambda df: df.metrics_metadata.apply(getattr, args=["score"]), + reason=lambda df: df.metrics_metadata.apply(getattr, args=["reason"]), + ) + .merge(pd.DataFrame(metric_type), on="metric_name") + .drop(columns=["success", "metrics_metadata"]) + ) + + evaluation.to_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv", index=False) + evaluation.head() + + def load_experiment_param_data( + self, + experiment_file_name=None, + benchmark=None, + ): + """ + This function loads an csv of experiments to try unless benchmark is specified; + in this case it will take the core_api retrieval_system_prompt and retrieval_question_prompt. + """ + + if benchmark: + self.benchmark = benchmark + self.experiment_file_name = "benchmark" + benchmark_df = pd.DataFrame() + benchmark_df["experiment_name"] = ["benchmark"] + benchmark_df["retrieval_system_prompt"] = [self.ENV.ai.retrieval_system_prompt] + benchmark_df["retrieval_question_prompt"] = [self.ENV.ai.retrieval_question_prompt] + self.experiment_parameters = benchmark_df + else: + self.experiment_file_name = experiment_file_name + self.experiment_parameters = pd.read_csv( + f"notebooks/evaluation/data/experiment_parameters/{self.experiment_file_name}.csv" + ) + + def loop_through_experiements(self): + """ + This function calls the other functions to run and write the different experiments. + """ + for _index, row in self.experiment_parameters.iterrows(): + self.experiment_name = row["experiment_name"] + self.retrieval_system_prompt = (row["retrieval_system_prompt"],) + self.retrieval_question_prompt = row["retrieval_question_prompt"] + + self.write_rag_results() + self.do_evaluation() + self.write_evaluation_results() + + def empirical_ci(self, df: pd.DataFrame) -> pd.DataFrame: + """ + Calculate confidence intervals for aggregated metrics. + """ + + df_grouped = ( + df.groupby(["experiment_name", "metric_name"])["score"] + .agg(["mean", "sem", "min", "max", "count"]) + .reset_index() + ) + + ci = stats.t.interval( + confidence=0.95, df=df_grouped["count"] - 1, loc=df_grouped["mean"], scale=df_grouped["sem"] + ) + + df_grouped["ci_low"] = ci[0] + df_grouped["ci_high"] = ci[1] + + return df_grouped + + def create_visualisation_plus_grouped_results(self): + """ + This function uses the stored experiment result to save the aggregated metics using empirical_ci(). + It also saves a barplot (here confidence intervals are calculated by bootstrapping). + """ + experiments = [] + experiment_names = self.experiment_parameters["experiment_name"] + for experiment_name in experiment_names: + experiment = pd.read_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv") + experiment["experiment_name"] = experiment_name + experiments.append(experiment) + + experiments_df = pd.concat(experiments) + + barplot = sns.barplot(experiments_df, x="score", y="metric_name", hue="experiment_name", errorbar=("ci", 95)) + fig = barplot.get_figure() + fig.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_boxplot.png", bbox_inches="tight") + + experiment_metrics = self.empirical_ci(experiments_df) + experiment_metrics.to_csv(f"{self.V_RESULTS}/{self.experiment_file_name}_eval_results_full.csv") + + +class Mutex(click.Option): + def __init__(self, *args, **kwargs): + self.not_required_if = kwargs.pop("not_required_if") + self.required_if_not_set = kwargs.pop("required_if_not_set", True) + + if not self.not_required_if: + msg = "'not_required_if' parameter required" + raise ValueError(msg) + + kwargs["help"] = ( + kwargs.get("help", "") + " Option is mutually exclusive with " + ", ".join(self.not_required_if) + "." + ).strip() + super().__init__(*args, **kwargs) + + def handle_parse_result(self, ctx, opts, args): + current_opt = self.name in opts + for mutex_opt in self.not_required_if: + if mutex_opt in opts: + if current_opt: + msg = f"Illegal usage: '{self.name}' is mutually exclusive with {mutex_opt}." + raise click.UsageError(msg) + self.prompt = None + + if not current_opt and self.required_if_not_set and not any(opt in opts for opt in self.not_required_if): + msg = f"Illegal usage: Either '{self.name}' or one of {', '.join(self.not_required_if)} must be provided." + raise click.UsageError(msg) + return super().handle_parse_result(ctx, opts, args) + + +@click.command() +@click.option( + "--data_version", + required=True, + type=str, + help="Specify the data version you want to use.", +) +@click.option( + "--experiment_file_name", + cls=Mutex, + not_required_if=["benchmark"], + required_if_not_set=True, + type=str, + help="Specify the experiment data file name you want to use. (CSV)", +) +@click.option( + "--benchmark", + "-b", + cls=Mutex, + not_required_if=["experiment_file_name"], + required_if_not_set=True, + is_flag=True, + help="Use the baseline rag function to get benchmarking results.", +) +def main(data_version, experiment_file_name, benchmark): + get_experiment_results = GetExperimentResults() + get_experiment_results.set_data_version(data_version) + get_experiment_results.load_experiment_param_data(experiment_file_name=experiment_file_name, benchmark=benchmark) + get_experiment_results.load_chunks_from_jsonl_to_index() + get_experiment_results.loop_through_experiements() + get_experiment_results.create_visualisation_plus_grouped_results() + get_experiment_results.clear_index() + + +if __name__ == "__main__": + main() diff --git a/notebooks/evaluation/tests/test_rag_experiments.py b/notebooks/evaluation/tests/test_rag_experiments.py new file mode 100644 index 000000000..9a6034994 --- /dev/null +++ b/notebooks/evaluation/tests/test_rag_experiments.py @@ -0,0 +1,212 @@ +import json +import sys +from pathlib import Path +from unittest import mock + +import pytest + +# Hack - wasn't picking up imports properly +sys.path.append(str(Path(__file__).parents[2])) +import tempfile +import unittest +from pathlib import Path +from unittest.mock import MagicMock, patch + +import pandas as pd +from elasticsearch import Elasticsearch +from elasticsearch.helpers import scan +from evaluation.rag_experiments import GetExperimentResults + +from redbox.models import Settings + + +@pytest.fixture() +def env(): + return Settings() + + +@pytest.fixture() +def es_client(): + with ( + mock.patch("elasticsearch.Elasticsearch.search") as mocked_search, + mock.patch("elasticsearch.client.IndicesClient.create") as mocked_index_create, + mock.patch("elasticsearch.Elasticsearch.index") as mocked_index, + mock.patch("elasticsearch.helpers.scan") as mocked_scan, + mock.patch("elasticsearch.Elasticsearch.delete_by_query") as mocked_delete_by_query, + ): + mocked_search.return_value = {"hits": {"hits": [{"_id": "1", "_source": {"field": "value"}}]}} + mocked_index_create.return_value = {"acknowledged": True} + mocked_index.return_value = {"result": "created"} + mocked_delete_by_query.return_value = {"deleted": 1} + mocked_scan.return_value = iter( + [{"_id": "1", "_source": {"field": "value"}}, {"_id": "2", "_source": {"field": "value"}}] + ) + + client = Elasticsearch(hosts=["http://localhost:9200"]) + client.indices = mock.Mock() + client.indices.create = mocked_index_create + client.search = mocked_search + client.index = mocked_index + client.delete_by_query = mocked_delete_by_query + + yield client, mocked_search, mocked_index_create, mocked_index, mocked_scan, mocked_delete_by_query + + +@pytest.mark.usefixtures("es_client") +class TestGetExperimentResults(unittest.TestCase): + @pytest.fixture(autouse=True) + def inject_fixtures(self, es_client): + ( + self.es_client, + self.mocked_search, + self.mocked_index_create, + self.mocked_index, + self.mocked_scan, + self.mocked_delete_by_query, + ) = es_client + + return es_client + + @classmethod + def setUpClass(cls): + super().setUpClass() + + def setUp(self): + self.get_experiment_results = GetExperimentResults() + self.get_experiment_results.set_data_version("0.2.3") + + self.get_experiment_results.ENV = MagicMock() + + self.get_experiment_results.ES_CLIENT = self.es_client + + self.temp_dir = tempfile.TemporaryDirectory() + self.get_experiment_results.V_RESULTS = self.temp_dir.name + + self.mock_synthetic_path = "/mock/synthetic" + self.mock_complete_ragas_file = "mock_complete_ragas_synthetic_data.csv" + self.get_experiment_results.synthetic_data_dir = self.mock_synthetic_path + + def tearDown(self): + self.temp_dir.cleanup() + + @patch("jsonlines.open") + def test_load_chunks_from_jsonl_to_index(self, mock_jsonlines_open): + mock_jsonlines_open.return_value.__enter__.return_value = iter( + [json.dumps({"uuid": "1234", "parent_file_uuid": "abcd", "data": "test data"})] + ) + + file_uuids = self.get_experiment_results.load_chunks_from_jsonl_to_index() + assert "abcd" in file_uuids + self.get_experiment_results.ES_CLIENT.index.assert_called_once() + + @patch("jsonlines.open") + def test_load_chunks_from_empty_jsonl(self, mock_jsonlines_open): + mock_jsonlines_open.return_value.__enter__.return_value = iter([]) + + result = self.get_experiment_results.load_chunks_from_jsonl_to_index() + assert result == set() + + def test_load_experiment_param_data(self): + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame( + { + "experiment_name": ["test_experiment"], + "retrieval_system_prompt": ["test_prompt"], + "retrieval_question_prompt": ["test_question_prompt"], + } + ) + + self.get_experiment_results.load_experiment_param_data("test_file") + assert self.get_experiment_results.experiment_parameters["experiment_name"][0] == "test_experiment" + + @patch("evaluation.rag_experiments.GetExperimentResults.get_rag_results") + @patch("pandas.DataFrame.to_csv") + def test_write_rag_results(self, mock_to_csv, mock_get_rag_results): + mock_get_rag_results.return_value = { + "output_text": "test_output", + "source_documents": [{"page_content": "test_content"}], + } + + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame({"input": ["test_input"]}) + self.get_experiment_results.write_rag_results() + mock_to_csv.assert_called_once() + + @patch("evaluation.rag_experiments.pd.read_csv") + @patch("evaluation.rag_experiments.evaluate") + def test_do_evaluation(self, mock_evaluate, mock_read_csv): + # Setting up the mock return value for read_csv + mock_data = pd.DataFrame({"column1": [1, 2, 3], "column2": ["a", "b", "c"]}) + mock_read_csv.return_value = mock_data + + mock_eval_result = pd.DataFrame( + { + "input": ["input1", "input2", "input3"], + "actual_output": ["output1", "output2", "output3"], + "expected_output": ["expected1", "expected2", "expected3"], + "context": [["context1"], ["context2"], ["context3"]], + "retrieval_context": [["retrieval1"], ["retrieval2"], ["retrieval3"]], + "additional_metadata": [None, None, None], + "comments": [None, None, None], + } + ) + mock_evaluate.return_value = mock_eval_result + + result = self.get_experiment_results.do_evaluation() + + assert result is not None + assert isinstance(result, pd.DataFrame) + assert result.shape == (3, 7) + + @patch("seaborn.barplot") + @patch("pandas.concat") + @patch("pandas.read_csv") + def test_create_visualisation_plus_grouped_results(self, mock_read_csv, mock_concat, mock_barplot): # noqa: ARG002 + mock_read_csv.return_value = pd.DataFrame( + {"experiment_name": ["test_experiment"], "score": [0.5], "metric_name": ["test_metric"]} + ) + mock_concat.return_value = mock_read_csv.return_value + + self.get_experiment_results.experiment_parameters = {"experiment_name": ["test_experiment"]} + self.get_experiment_results.create_visualisation_plus_grouped_results() + + @patch("pandas.read_csv") + def test_create_visualisation_empty_data(self, mock_read_csv): + mock_read_csv.return_value = pd.DataFrame() + self.get_experiment_results.experiment_parameters = {"experiment_name": []} + + with pytest.raises(ValueError): # noqa: PT011 + self.get_experiment_results.create_visualisation_plus_grouped_results() + + @patch("jsonlines.open") + def test_clear_index(self, mock_jsonlines_open): + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame( + { + "experiment_name": ["test_experiment"], + "retrieval_system_prompt": ["test_prompt"], + "retrieval_question_prompt": ["test_question_prompt"], + } + ) + + self.get_experiment_results.load_experiment_param_data("test_file") + + mock_jsonlines_open.return_value.__enter__.return_value = iter( + [json.dumps({"uuid": "1234", "parent_file_uuid": "abcd", "data": "test data"})] + ) + + self.get_experiment_results.load_chunks_from_jsonl_to_index() + + self.get_experiment_results.ES_CLIENT.index.assert_called_once() + + self.get_experiment_results.clear_index() + documents_after_clear = list( + scan(self.get_experiment_results.ES_CLIENT, query={"query": {"match_all": {}}}) + ) + assert len(documents_after_clear) == 0 + + self.get_experiment_results.clear_index() + + +if __name__ == "__main__": + unittest.main() diff --git a/poetry.lock b/poetry.lock index d13ec4a80..3804dab8d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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"pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"] test = ["Cython", "array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] +[[package]] +name = "seaborn" +version = "0.13.2" +description = "Statistical data visualization" +optional = false +python-versions = ">=3.8" +files = [ + {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"}, + {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"}, +] + +[package.dependencies] +matplotlib = ">=3.4,<3.6.1 || >3.6.1" +numpy = ">=1.20,<1.24.0 || >1.24.0" +pandas = ">=1.2" + +[package.extras] +dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-xdist"] +docs = ["ipykernel", "nbconvert", "numpydoc", "pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"] +stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"] + [[package]] name = "semantic-router" version = "0.0.48" @@ -10169,4 +10213,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "0f6bc0402cbde8567d6cdd705acee1d3af4bdb2e7e713362877266e89b6533ce" +content-hash = "0d54ca3b9faad13a7d7c77be4047b29aa8bf07d57acb3a6166e9cdab2cb60421" diff --git a/pyproject.toml b/pyproject.toml index c5cc872b1..f7afa4d37 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,6 +28,8 @@ faststream = {extras = ["redis"], version = "<0.5.0"} langchain-elasticsearch = "^0.2.0" +seaborn = "^0.13.2" +mock = "^5.1.0" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From b25e0c24af0f0f7a57cb1419ff3f5e5be00f1ffa Mon Sep 17 00:00:00 2001 From: Euan Soutter <168103747+esoutter@users.noreply.github.com> Date: Fri, 19 Jul 2024 14:27:23 +0100 Subject: [PATCH 024/153] feat: exploration - analysis of chat history and streamlit dashboard * wip: analysis of chat history * ensure user frequent is only for users and not all responses and also add tables for all analyses * removing unused imports/packages * function to find latest csv chat history file * basic streamlit dashboard * add route analysis and topic modelling * add route transition method and comments --------- Co-authored-by: Natasha Boyse --- .gitignore | 4 + .../evaluation/analysis_of_chat_history.py | 296 ++++++++++++++++++ notebooks/evaluation/app.py | 43 +++ poetry.lock | 80 ++++- pyproject.toml | 1 + 5 files changed, 423 insertions(+), 1 deletion(-) create mode 100644 notebooks/evaluation/analysis_of_chat_history.py create mode 100644 notebooks/evaluation/app.py diff --git a/.gitignore b/.gitignore index a9cfc871f..42b64d9e6 100644 --- a/.gitignore +++ b/.gitignore @@ -213,3 +213,7 @@ django_app/tests/staticfiles # pre commit files .pre-commit-trivy-cache + +# chat history files and personal data +*chat_history_* +notebooks/evaluation/results \ No newline at end of file diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py new file mode 100644 index 000000000..a1d3e5782 --- /dev/null +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -0,0 +1,296 @@ +import glob +import inspect +import os +import re +import textwrap +from collections import Counter +from pathlib import Path + +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import seaborn as sns +import numpy as np +from regex import D +from wordcloud import STOPWORDS, WordCloud +from bertopic import BERTopic + +class ChatHistoryAnalysis(): + def __init__(self) -> None: + root = Path(__file__).parents[2] + self.evaluation_dir = root / "notebooks/evaluation" + results_dir = f'{self.evaluation_dir}/results' + self.visualisation_dir = f'{results_dir}/visualisations/' + self.table_dir = f'{results_dir}/table/' + os.makedirs(results_dir, exist_ok=True) + os.makedirs(self.visualisation_dir, exist_ok=True) + os.makedirs(self.table_dir, exist_ok=True) + + # IMPORTANT - For this to work you must save your chat history CSV dump in notebooks/evaluation/data/chat_histories + file_path = self.latest_chat_history_file() + self.chat_logs = pd.read_csv(file_path) + + # Select specific columns and converting to readable timestamp + self.chat_logs = self.chat_logs[['created_at', 'users', 'chat_history', 'text', 'role', 'id']] + self.chat_logs['created_at'] = pd.to_datetime(self.chat_logs['created_at']) + + self.ai_responses = self.chat_logs[self.chat_logs['role'] == 'ai'] + self.user_responses = self.chat_logs[self.chat_logs['role'] == 'user'] + + self.chat_logs['tokens'] = self.chat_logs['text'].apply(self.preprocess_text) + self.ai_responses['tokens'] = self.ai_responses['text'].apply(self.preprocess_text) + self.user_responses['tokens'] = self.user_responses['text'].apply(self.preprocess_text) + + self.user_responses['route'] = self.user_responses['text'].apply(lambda row: 'summarise' if row.startswith('@summarise') else ('chat' if row.startswith('@chat') else 'no_route')) + + self.topic_model = None + self.topic_model_over_time = None + + self.figsize = (10, 5) + mpl.rcParams.update({'font.size': 10}) + mpl.rcParams.update({'font.family': 'Arial'}) + + def latest_chat_history_file(self): + chat_history_folder = glob.glob(f'{self.evaluation_dir}/data/chat_histories/*') + latest_file = max(chat_history_folder, key=os.path.getctime) + return latest_file + + def preprocess_text(self, text): + tokens = text.split() + tokens = [word.lower() for word in tokens if word.isalpha()] + return tokens + + # 1) Who uses Redbox the most? + def user_frequency_analysis(self): + user_counts = self.chat_logs['users'].value_counts() + + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in user_counts.index] + wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + + # Table + table_data = {'Name': user_name, 'Email': user_counts.index, 'Number of times used': user_counts.values} + table_dataframe = pd.DataFrame(data=table_data, index=user_name) + table_dataframe.to_csv(f'{self.table_dir}top_users.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=wrapped_user_name, y=user_counts.values, palette='viridis') + + plt.xticks(ha='right', size=9) + plt.title('Unique Users by Total Number of Messages') + plt.xlabel('Users') + plt.ylabel('Total No. of Messages') + top_users_path = os.path.join(self.visualisation_dir, 'top_users.png') + plt.savefig(top_users_path) + + # 2) Redbox traffic analysis + def redbox_traffic_analysis(self): + # think about GA integration? + self.chat_logs['date'] = self.chat_logs['created_at'].dt.date + date_counts = self.chat_logs['date'].value_counts().sort_index() + + # Table + table_data = {'Date': date_counts.index, 'Usage': date_counts.values} + table_dataframe = pd.DataFrame(data=table_data) + table_dataframe.to_csv(f'{self.table_dir}usage_of_redbox_ai_over_time.csv', index=False) + + # Line graph + plt.figure(figsize=self.figsize) + date_counts.plot(kind='line') + plt.title('Usage of Redbox AI Over Time') + plt.xlabel('Date') + plt.ylabel('Number of Conversations') + conversation_frequency_path = os.path.join(self.visualisation_dir, 'usage_of_redbox_ai_over_time.png') + plt.savefig(conversation_frequency_path) + + # 3) Which words are used the most frequently by USERS? + def user_word_frequency_analysis(self): + all_tokens = [token for tokens in self.user_responses['tokens'] for token in tokens] + + # far too many stopwords and wordcloud has a lovely constant attached to resolve this + stopwords_removed_from_all_tokens = [word for word in all_tokens if word not in STOPWORDS] + + word_freq = Counter(stopwords_removed_from_all_tokens) + + most_common_words = word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words) + + # Table + table_data = {'Word': list(word_freq.keys()), 'Frequency': list(word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) + table_dataframe.to_csv(f'{self.table_dir}user_most_frequent_words_table.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette='viridis') + plt.title('Top 20 Most Frequent Words') + plt.xlabel('Frequency') + plt.ylabel('Words') + barplot_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words_barplot.png') + plt.savefig(barplot_path) + + # Wordcloud - TODO - assess value + wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(word_freq) + plt.figure(figsize=self.figsize) + plt.imshow(wordcloud, interpolation='bilinear') + plt.axis('off') + plt.title('Most Frequent Words') + wordcloud_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words.png') + plt.savefig(wordcloud_path) + + # 4) Which words are used the most frequently by AI? + def ai_word_frequency_analysis(self): + ai_word_freq = Counter([token for tokens in self.ai_responses['tokens'] for token in tokens if token not in STOPWORDS]) + most_common_words = ai_word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words) + + # Table + table_data = {'Word': list(ai_word_freq.keys()), 'Frequency': list(ai_word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) + table_dataframe.to_csv(f'{self.table_dir}ai_most_frequent_words_table.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette='viridis') + plt.title('Top 20 Most Frequent Words') + plt.xlabel('Frequency') + plt.ylabel('Words') + barplot_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words_barplot.png') + plt.savefig(barplot_path) + + # Wordcloud - TODO - assess value + ai_wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(ai_word_freq) + plt.figure(figsize=self.figsize) + plt.imshow(ai_wordcloud, interpolation='bilinear') + plt.axis('off') + plt.title('Most Frequent Words in AI Responses') + ai_wordcloud_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words.png') + plt.savefig(ai_wordcloud_path) + + # 5) Is there a clear pattern behind AI responses? + def ai_response_pattern_analysis(self): + def clean_text(text): # was including asterisks giving useless info to the graph I'm still not entirely convinced on the benefit of this analysis + return re.sub('[!@#$*]', '', text).strip() + + self.ai_responses['clean_text'] = self.ai_responses['text'].apply(clean_text) + ai_response_patterns = self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts().head(10) + + # Table + words, counts = zip(*self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts()) + table_data = {'Word': words, 'Frequency': counts} + table_dataframe = pd.DataFrame(data=table_data) + table_dataframe.to_csv(f'{self.table_dir}common_ai_patterns.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=ai_response_patterns.values, y=ai_response_patterns.index, palette='magma') + plt.title('Common Patterns in AI Responses') + plt.xlabel('Frequency') + plt.ylabel('Patterns') + ai_patterns_path = os.path.join(self.visualisation_dir, 'common_ai_patterns.png') + plt.savefig(ai_patterns_path) + + # What routes are people using? + def route_analysis(self): + + df = self.user_responses.copy() + + # # Some users repeat the same message several times (drop?) + # df = df.drop_duplicates(['text']) + + # User names + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.users] + wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + df['user_name'] = wrapped_user_name + + # Groupby routes + df_grouped = df.groupby(['user_name'])['route'].value_counts().unstack() + + # Plot + plt.figure(figsize=self.figsize) + df_grouped.plot(kind='bar', + color={"chat": "teal", + "no_route": "yellowgreen", + "summarise": "gold"}, + figsize=self.figsize) + plt.xticks(rotation=0) + plt.xlabel('Users') + plt.ylabel('Number of routes taken') + plt.title('Routes taken per user') + routes_count_path = os.path.join(self.visualisation_dir, 'routes_per_user.png') + plt.savefig(routes_count_path) + + def get_route_transitions(self, df): + + # TODO Check this works with the groupby ID and time order of events + df['next_route'] = df['route'].shift(1) + + df['transition'] = df.apply(lambda row: f"{row['route']} to {row['next_route']}" + if pd.notna(row['next_route']) else None, axis=1) + + return df + + # In what way are users switching between routes? + def route_transitions(self): + + # Get route transitions and counts per user session (is 'id' appropriate?) + df_transitions = self.user_responses.groupby('id').apply(self.get_route_transitions).reset_index(drop=True) + + transition_counts = df_transitions['transition'].value_counts().reset_index() + + # Plot + sns.barplot(x=transition_counts['transition'], y=transition_counts['count'], + palette='viridis') + plt.xticks(rotation=45, ha='right') + plt.title('Number of different route transitions') + plt.xlabel('Route transition') + plt.ylabel('Number of route transitions') + + # Are users asking about common topics? + def get_topics(self): + + STOPWORDS.add('@chat') + STOPWORDS.add('@summarise') + + # Remove stopwords and fit (simple) topic model + text_without_stopwords = self.user_responses['text'].apply(lambda row: ' '.join([word for word in row.split() if word not in (STOPWORDS)])) + created_at = self.user_responses['created_at'].to_list() + + topic_model = BERTopic(verbose=True) + topic_model.fit_transform(text_without_stopwords) + topics_over_time = topic_model.topics_over_time(text_without_stopwords, created_at) + + self.topic_model = topic_model + self.topics_over_time = topics_over_time + + def visualise_topics(self): + # Plot + return self.topic_model.visualize_topics(width=800, height=500) + + def visualise_hierarchy(self): + # Plot + return self.topic_model.visualize_hierarchy(width=800, height=400) + + def visualise_barchart(self): + # Plot + return self.topic_model.visualize_barchart(width=800, height=400) + + def visualise_topics_over_time(self): + # Plot + return self.topic_model.visualize_topics_over_time(self.topics_over_time, + top_n_topics = 5, + normalize_frequency=True) + +def main(): + chat_history_analysis = ChatHistoryAnalysis() + attrs = (getattr(chat_history_analysis, name) for name in dir(chat_history_analysis)) + methods = filter(inspect.ismethod, attrs) + for method in methods: + try: + method() + except TypeError: + pass + + +if __name__ == "__main__": + main() diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py new file mode 100644 index 000000000..44f36c415 --- /dev/null +++ b/notebooks/evaluation/app.py @@ -0,0 +1,43 @@ +from analysis_of_chat_history import ChatHistoryAnalysis +import streamlit as st + +st.set_page_config(page_title = 'Redbox Chat Analysis', layout = 'centered') +st.set_option('deprecation.showPyplotGlobalUse', False) +st.title('Redbox Chat History Dashboard') + +user_freq_tab, traffic_tab, word_freq_tab, ai_word_freq_tab, route_tab, transitions_tab, topic_tab = st.tabs(['User frequency', + 'Redbox traffic', + 'Word frequency', + 'AI word frequency', + 'Route analysis', + 'Route transitions', + 'Topic modelling']) + +cha = ChatHistoryAnalysis() + +with user_freq_tab: + st.pyplot(cha.user_frequency_analysis()) + +with traffic_tab: + st.pyplot(cha.redbox_traffic_analysis()) + +with word_freq_tab: + st.pyplot(cha.user_word_frequency_analysis()) + +with ai_word_freq_tab: + st.pyplot(cha.ai_word_frequency_analysis()) + +with route_tab: + st.pyplot(cha.route_analysis()) + +with transitions_tab: + st.pyplot(cha.route_transitions()) + +with topic_tab: + with st.spinner('Fitting topic model...'): + cha.get_topics() + + st.plotly_chart(cha.visualise_topics()) + st.plotly_chart(cha.visualise_topics_over_time()) + st.plotly_chart(cha.visualise_barchart()) + st.plotly_chart(cha.visualise_hierarchy()) diff --git a/poetry.lock b/poetry.lock index 3804dab8d..ed8bceda4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -9858,6 +9858,84 @@ files = [ {file = "widgetsnbextension-4.0.11.tar.gz", hash = "sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474"}, ] +[[package]] +name = "wordcloud" +version = "1.9.3" +description = "A little word 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"f5553c27aad076b749dc8a44ce4e26eaa01c1d5b53501d98b93d44c4dd069cbf" diff --git a/pyproject.toml b/pyproject.toml index f7afa4d37..24953c1be 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,6 +30,7 @@ langchain-elasticsearch = "^0.2.0" seaborn = "^0.13.2" mock = "^5.1.0" +wordcloud = "^1.9.3" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From 7ab64a4bf8148677c3b7b00112906145290538ff Mon Sep 17 00:00:00 2001 From: Natasha Boyse Date: Mon, 22 Jul 2024 14:21:21 +0100 Subject: [PATCH 025/153] WIP: Creating docker image for streamlit app --- .../management/commands/run_streamlit_app.py | 11 + django_app/redbox_app/redbox_core/views.py | 7 +- .../redbox_app/templates/streamlit_app.html | 8 + django_app/redbox_app/urls.py | 1 + docker-compose.yml | 26 ++ notebooks/evaluation/Dockerfile | 35 ++ notebooks/evaluation/__init__.py | 0 notebooks/evaluation/app.py | 3 +- poetry.lock | 348 +++++++++++++++++- pyproject.toml | 2 + 10 files changed, 438 insertions(+), 3 deletions(-) create mode 100644 django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py create mode 100644 django_app/redbox_app/templates/streamlit_app.html create mode 100644 notebooks/evaluation/Dockerfile create mode 100644 notebooks/evaluation/__init__.py diff --git a/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py b/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py new file mode 100644 index 000000000..8be505577 --- /dev/null +++ b/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py @@ -0,0 +1,11 @@ +import subprocess + +from django.core.management.base import BaseCommand + + +class Command(BaseCommand): + help = 'Run the Streamlit app' + + def handle(self, *args, **kwargs): + self.stdout.write(self.style.SUCCESS('Starting Streamlit app...')) + subprocess.run(['streamlit', 'run', 'notebooks/embeddings/app.py']) \ No newline at end of file diff --git a/django_app/redbox_app/redbox_core/views.py b/django_app/redbox_app/redbox_core/views.py index d1aa23133..7cdf2fdc1 100644 --- a/django_app/redbox_app/redbox_core/views.py +++ b/django_app/redbox_app/redbox_core/views.py @@ -4,7 +4,7 @@ from pathlib import Path from django.conf import settings -from django.contrib.auth.decorators import login_required +from django.contrib.auth.decorators import login_required, user_passes_test from django.core.exceptions import FieldError, ValidationError from django.core.files.uploadedfile import UploadedFile from django.db.models import Min, Prefetch @@ -386,3 +386,8 @@ class DemographicsView(UpdateView): def get_object(self, **kwargs): # noqa: ARG002 return self.request.user + + +# @user_passes_test(lambda u: u.is_superuser) +def streamlit_view(request): + return render(request, 'streamlit_app.html') diff --git a/django_app/redbox_app/templates/streamlit_app.html b/django_app/redbox_app/templates/streamlit_app.html new file mode 100644 index 000000000..5ca2f220b --- /dev/null +++ b/django_app/redbox_app/templates/streamlit_app.html @@ -0,0 +1,8 @@ +{% extends "base.html" %} + +{% set pageTitle = "Streamlit App" %} + +{% block content %} + + +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/urls.py b/django_app/redbox_app/urls.py index 5ff06a671..fe5536b85 100644 --- a/django_app/redbox_app/urls.py +++ b/django_app/redbox_app/urls.py @@ -54,6 +54,7 @@ path("file-status/", views.file_status_api_view, name="file-status"), path("check-demographics/", views.CheckDemographicsView.as_view(), name="check-demographics"), path("demographics/", views.DemographicsView.as_view(), name="demographics"), + path("streamlit/", views.streamlit_view, name="streamlit_view"), ] urlpatterns = ( diff --git a/docker-compose.yml b/docker-compose.yml index 5585f26d1..d3723916d 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,3 +1,5 @@ +version: '3' + services: django-app: image: django-app:latest @@ -26,6 +28,22 @@ services: timeout: 30s retries: 24 start_period: 60s + + streamlit-app: + image: streamlit-app:latest + build: + context: . + dockerfile: ./notebooks/evaluation/Dockerfile + ports: + - "8501:8501" + networks: + - redbox-app-network + env_file: + - .env + volumes: + - ./notebooks/evaluation:/app/notebooks/evaluation + + db: image: postgres:13 env_file: @@ -42,6 +60,7 @@ services: timeout: 30s retries: 24 start_period: 30s + requirements: image: python:3.11 profiles: @@ -79,6 +98,7 @@ services: networks: - redbox-app-network restart: unless-stopped + core-api: image: redbox-core-api:latest build: @@ -110,6 +130,7 @@ services: timeout: 30s retries: 24 start_period: 60s + minio: image: minio/minio expose: @@ -133,6 +154,7 @@ services: timeout: 30s retries: 24 start_period: 30s + elasticsearch: image: elasticsearch:8.12.0 volumes: @@ -158,6 +180,7 @@ services: timeout: 30s retries: 24 start_period: 60s + kibana: image: kibana:8.12.0 ports: @@ -174,6 +197,7 @@ services: elasticsearch: condition: service_healthy restart: unless-stopped + redis: image: redis:7-alpine restart: always @@ -192,6 +216,7 @@ services: retries: 24 start_period: 60s + networks: redbox-app-network: driver: bridge @@ -204,3 +229,4 @@ volumes: redis: driver: local redis-insight: + streamlit-app: diff --git a/notebooks/evaluation/Dockerfile b/notebooks/evaluation/Dockerfile new file mode 100644 index 000000000..85dfc97e9 --- /dev/null +++ b/notebooks/evaluation/Dockerfile @@ -0,0 +1,35 @@ +FROM python:3.11-buster as builder + +WORKDIR /app/ + +RUN pip install poetry + +ENV POETRY_NO_INTERACTION=1 \ + POETRY_VIRTUALENVS_IN_PROJECT=1 \ + POETRY_VIRTUALENVS_CREATE=1 \ + POETRY_CACHE_DIR=/tmp/poetry_cache + +ADD pyproject.toml poetry.lock /app/ +ADD redbox-core /app/redbox-core +ADD README.md /app/README.md + +COPY notebooks/evaluation/app.py /app/ + +RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi + +FROM python:3.11-slim as runtime + +WORKDIR /app/ + +RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null + +ENV VIRTUAL_ENV=/app/.venv \ + PATH="/app/.venv/bin:$PATH" + +COPY --from=builder /app/.venv /app/.venv + +COPY notebooks/evaluation /app/notebooks/evaluation + +EXPOSE 8501 + +CMD ["streamlit", "run", "notebooks/evaluation/app.py", "--server.port=8501", "--server.address=0.0.0.0"] diff --git a/notebooks/evaluation/__init__.py b/notebooks/evaluation/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py index 44f36c415..6e56b7332 100644 --- a/notebooks/evaluation/app.py +++ b/notebooks/evaluation/app.py @@ -1,6 +1,7 @@ -from analysis_of_chat_history import ChatHistoryAnalysis import streamlit as st +from analysis_of_chat_history import ChatHistoryAnalysis + st.set_page_config(page_title = 'Redbox Chat Analysis', layout = 'centered') st.set_option('deprecation.showPyplotGlobalUse', False) st.title('Redbox Chat History Dashboard') diff 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["tensorflow (>=2.1)"] +plot = ["bokeh", "colorcet", "datashader", "holoviews", "matplotlib", "pandas", "scikit-image", "seaborn"] +tbb = ["tbb (>=2019.0)"] + [[package]] name = "unstructured" version = "0.14.8" @@ -10291,4 +10637,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "f5553c27aad076b749dc8a44ce4e26eaa01c1d5b53501d98b93d44c4dd069cbf" +content-hash = "b388c1210bdbcd7234ab36d783addb56bd6c28ab3e3199e9dd5949976f2fd466" diff --git a/pyproject.toml b/pyproject.toml index 24953c1be..9c04dd2a6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,6 +31,8 @@ langchain-elasticsearch = "^0.2.0" seaborn = "^0.13.2" mock = "^5.1.0" wordcloud = "^1.9.3" +bertopic = "^0.16.2" +streamlit = "^1.36.0" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From cd0b202dd9bbb3bf268c58516896b3ae391a7fd4 Mon Sep 17 00:00:00 2001 From: Natasha Boyse Date: Mon, 22 Jul 2024 17:08:49 +0100 Subject: [PATCH 026/153] major WIP --- django_app/redbox_app/redbox_core/views.py | 5 +- django_app/redbox_app/settings.py | 3 + .../redbox_app/templates/streamlit_app.html | 2 +- notebooks/evaluation/Dockerfile | 13 +++- .../evaluation/analysis_of_chat_history.py | 72 +++++++++++++++---- poetry.lock | 18 ++++- pyproject.toml | 1 + 7 files changed, 95 insertions(+), 19 deletions(-) diff --git a/django_app/redbox_app/redbox_core/views.py b/django_app/redbox_app/redbox_core/views.py index 7cdf2fdc1..4d20a794b 100644 --- a/django_app/redbox_app/redbox_core/views.py +++ b/django_app/redbox_app/redbox_core/views.py @@ -390,4 +390,7 @@ def get_object(self, **kwargs): # noqa: ARG002 # @user_passes_test(lambda u: u.is_superuser) def streamlit_view(request): - return render(request, 'streamlit_app.html') + context = { + 'streamlit_host': settings.STREAMLIT_HOST + } + return render(request, 'streamlit_app.html', context) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 3606c5df7..d4fb5384d 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -178,6 +178,7 @@ ) CSP_STYLE_SRC = ("'self'",) CSP_FRAME_ANCESTORS = ("'none'",) +CSP_FRAME_SRC = ("'self'", env.str("STREAMLIT_HOST")) CSP_CONNECT_SRC = ["'self'", f"wss://{env_hosts[0]}/ws/chat/", "plausible.io"] # https://pypi.org/project/django-permissions-policy/ @@ -362,3 +363,5 @@ else: LOGIN_REDIRECT_URL = "homepage" LOGIN_URL = "sign-in" + +STREAMLIT_HOST = env.str("STREAMLIT_HOST") diff --git a/django_app/redbox_app/templates/streamlit_app.html b/django_app/redbox_app/templates/streamlit_app.html index 5ca2f220b..4cf815679 100644 --- a/django_app/redbox_app/templates/streamlit_app.html +++ b/django_app/redbox_app/templates/streamlit_app.html @@ -4,5 +4,5 @@ {% block content %} - + {% endblock %} \ No newline at end of file diff --git a/notebooks/evaluation/Dockerfile b/notebooks/evaluation/Dockerfile index 85dfc97e9..f49b25940 100644 --- a/notebooks/evaluation/Dockerfile +++ b/notebooks/evaluation/Dockerfile @@ -12,11 +12,18 @@ ENV POETRY_NO_INTERACTION=1 \ ADD pyproject.toml poetry.lock /app/ ADD redbox-core /app/redbox-core ADD README.md /app/README.md +COPY ../../django_app /app/django_app +COPY django_app/pyproject.toml django_app/poetry.lock /app/django_app/ -COPY notebooks/evaluation/app.py /app/ +RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi +WORKDIR /app/django_app RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi +WORKDIR /app + +COPY notebooks/evaluation/app.py /app/ + FROM python:3.11-slim as runtime WORKDIR /app/ @@ -24,11 +31,13 @@ WORKDIR /app/ RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null ENV VIRTUAL_ENV=/app/.venv \ - PATH="/app/.venv/bin:$PATH" + PATH="/app/.venv/bin:$PATH" \ + PYTHONPATH="/app/django_app" COPY --from=builder /app/.venv /app/.venv COPY notebooks/evaluation /app/notebooks/evaluation +COPY --from=builder /app/django_app /app/django_app EXPOSE 8501 diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index a1d3e5782..a660fd3fd 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -6,14 +6,28 @@ from collections import Counter from pathlib import Path -import matplotlib.pyplot as plt import matplotlib as mpl +import matplotlib.pyplot as plt +import numpy as np import pandas as pd import seaborn as sns -import numpy as np +from bertopic import BERTopic +from django.db.models import F, Prefetch from regex import D from wordcloud import STOPWORDS, WordCloud -from bertopic import BERTopic + +packages = ["django-environ", "django-use-email-as-username", 'psycopg2-binary', 'django-magic-link', 'django-single-session', 'django-compressor'] +import pip + +for package in packages: + pip.main(['install', package]) + +import django + +django.setup() + +from redbox_app.redbox_core.models import ChatHistory, ChatMessage + class ChatHistoryAnalysis(): def __init__(self) -> None: @@ -26,12 +40,15 @@ def __init__(self) -> None: os.makedirs(self.visualisation_dir, exist_ok=True) os.makedirs(self.table_dir, exist_ok=True) - # IMPORTANT - For this to work you must save your chat history CSV dump in notebooks/evaluation/data/chat_histories - file_path = self.latest_chat_history_file() - self.chat_logs = pd.read_csv(file_path) + self.chat_logs = self.fetch_chat_history() + import logging + logging.basicConfig(level=logging.INFO) + logger = logging.getLogger() + logger.info('hello123456') + logger.info(self.chat_logs.columns.values) # Select specific columns and converting to readable timestamp - self.chat_logs = self.chat_logs[['created_at', 'users', 'chat_history', 'text', 'role', 'id']] + self.chat_logs = self.chat_logs[['created_at', 'users_id', 'user_email', 'chat_history', 'text', 'role', 'message_id']] self.chat_logs['created_at'] = pd.to_datetime(self.chat_logs['created_at']) self.ai_responses = self.chat_logs[self.chat_logs['role'] == 'ai'] @@ -50,10 +67,37 @@ def __init__(self) -> None: mpl.rcParams.update({'font.size': 10}) mpl.rcParams.update({'font.family': 'Arial'}) - def latest_chat_history_file(self): - chat_history_folder = glob.glob(f'{self.evaluation_dir}/data/chat_histories/*') - latest_file = max(chat_history_folder, key=os.path.getctime) - return latest_file + def fetch_chat_history(self, limit=100): + chat_messages = ChatMessage.objects.all() + chat_history_objects = ChatHistory.objects.prefetch_related( + Prefetch('messages', queryset=chat_messages) + ).annotate( + user_email=F('users__email') + ).values( + 'created_at', + 'users_id', + 'user_email', + chat_history=F('id'), + )[:limit] + + results = [] + for chat_history in chat_history_objects: + messages = ChatMessage.objects.filter(chat_history=chat_history['chat_history']).values('text', 'role', 'id') + for message in messages: + result = { + 'created_at': chat_history['created_at'], + 'users_id': chat_history['users_id'], + 'user_email': chat_history['user_email'], + 'chat_history': chat_history['chat_history'], + 'text': message['text'], + 'role': message['role'], + 'message_id': message['id'] + } + results.append(result) + + df = pd.DataFrame(results) + return df + def preprocess_text(self, text): tokens = text.split() @@ -62,7 +106,7 @@ def preprocess_text(self, text): # 1) Who uses Redbox the most? def user_frequency_analysis(self): - user_counts = self.chat_logs['users'].value_counts() + user_counts = self.chat_logs['user_email'].value_counts() user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in user_counts.index] wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] @@ -199,7 +243,7 @@ def route_analysis(self): # df = df.drop_duplicates(['text']) # User names - user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.users] + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.user_email] wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] df['user_name'] = wrapped_user_name @@ -234,7 +278,7 @@ def get_route_transitions(self, df): def route_transitions(self): # Get route transitions and counts per user session (is 'id' appropriate?) - df_transitions = self.user_responses.groupby('id').apply(self.get_route_transitions).reset_index(drop=True) + df_transitions = self.user_responses.groupby('users_id').apply(self.get_route_transitions).reset_index(drop=True) transition_counts = df_transitions['transition'].value_counts().reset_index() diff --git a/poetry.lock b/poetry.lock index f9168feed..fb89a3502 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1848,6 +1848,22 @@ tzdata = {version = "*", markers = "sys_platform == \"win32\""} argon2 = ["argon2-cffi (>=19.1.0)"] bcrypt = ["bcrypt"] +[[package]] +name = "django-environ" +version = "0.11.2" +description = "A package that allows you to utilize 12factor inspired environment variables to configure your Django application." +optional = false +python-versions = ">=3.6,<4" +files = [ + {file = "django-environ-0.11.2.tar.gz", hash = "sha256:f32a87aa0899894c27d4e1776fa6b477e8164ed7f6b3e410a62a6d72caaf64be"}, + {file = "django_environ-0.11.2-py2.py3-none-any.whl", hash = "sha256:0ff95ab4344bfeff693836aa978e6840abef2e2f1145adff7735892711590c05"}, +] + +[package.extras] +develop = ["coverage[toml] (>=5.0a4)", "furo (>=2021.8.17b43,<2021.9.dev0)", "pytest (>=4.6.11)", "sphinx (>=3.5.0)", "sphinx-notfound-page"] +docs = ["furo (>=2021.8.17b43,<2021.9.dev0)", "sphinx (>=3.5.0)", "sphinx-notfound-page"] +testing = ["coverage[toml] (>=5.0a4)", "pytest (>=4.6.11)"] + [[package]] name = "django-extensions" version = "3.2.3" @@ -10637,4 +10653,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "b388c1210bdbcd7234ab36d783addb56bd6c28ab3e3199e9dd5949976f2fd466" +content-hash = "a85bcfea8d60556df8ed2bcf3114ee0f3f8ee995f5f9b2975fc08ba356f497da" diff --git a/pyproject.toml b/pyproject.toml index 9c04dd2a6..ec1e677e4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,6 +33,7 @@ mock = "^5.1.0" wordcloud = "^1.9.3" bertopic = "^0.16.2" streamlit = "^1.36.0" +django-environ = "^0.11.2" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From 570e46237d7486628da2a9b421a489fb55f8d22f Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Thu, 4 Jul 2024 15:51:19 +0100 Subject: [PATCH 027/153] feat: make openAI model version configurable --- .env.django | 1 + .env.example | 1 + .env.test | 1 + core_api/src/dependencies.py | 28 +++++++++++++++++++-------- redbox-core/redbox/models/settings.py | 25 ++++++++++++++++-------- 5 files changed, 40 insertions(+), 16 deletions(-) diff --git a/.env.django b/.env.django index 8aa7ddaed..41bb42dd2 100644 --- a/.env.django +++ b/.env.django @@ -2,6 +2,7 @@ ANTHROPIC_API_KEY= OPENAI_API_KEY= +OPENAI_MODEL= LLM_MAX_TOKENS=1024 # === Development === diff --git a/.env.example b/.env.example index 9a78c01e5..ed2f1714a 100644 --- a/.env.example +++ b/.env.example @@ -2,6 +2,7 @@ ANTHROPIC_API_KEY= OPENAI_API_KEY= +OPENAI_API_KEY= LLM_MAX_TOKENS=1024 # === Development === diff --git a/.env.test b/.env.test index 6fac0ca6e..0bc9191ce 100644 --- a/.env.test +++ b/.env.test @@ -2,6 +2,7 @@ ANTHROPIC_API_KEY= OPENAI_API_KEY= +OPENAI_MODEL= LLM_MAX_TOKENS=1024 # === AI === diff --git a/core_api/src/dependencies.py b/core_api/src/dependencies.py index db3eab95e..d90c8594e 100644 --- a/core_api/src/dependencies.py +++ b/core_api/src/dependencies.py @@ -12,13 +12,16 @@ from langchain_core.retrievers import BaseRetriever from langchain_core.runnables import ConfigurableField from langchain_elasticsearch import ApproxRetrievalStrategy, ElasticsearchStore - -from core_api.src.callbacks import LoggerCallbackHandler -from core_api.src.retriever import AllElasticsearchRetriever, ParameterisedElasticsearchRetriever from redbox.model_db import MODEL_PATH from redbox.models import Settings from redbox.storage import ElasticsearchStorageHandler +from core_api.src.callbacks import LoggerCallbackHandler +from core_api.src.retriever import ( + AllElasticsearchRetriever, + ParameterisedElasticsearchRetriever, +) + logging.basicConfig(level=logging.INFO) log = logging.getLogger() @@ -29,13 +32,17 @@ def get_env() -> Settings: @lru_cache(1) -def get_elasticsearch_client(env: Annotated[Settings, Depends(get_env)]) -> Elasticsearch: +def get_elasticsearch_client( + env: Annotated[Settings, Depends(get_env)] +) -> Elasticsearch: return env.elasticsearch_client() @lru_cache(1) def get_embedding_model(env: Annotated[Settings, Depends(get_env)]) -> Embeddings: - embedding_model = SentenceTransformerEmbeddings(model_name=env.embedding_model, cache_folder=MODEL_PATH) + embedding_model = SentenceTransformerEmbeddings( + model_name=env.embedding_model, cache_folder=MODEL_PATH + ) log.info("Loaded embedding model from environment: %s", env.embedding_model) return embedding_model @@ -72,7 +79,8 @@ def get_vector_store( @lru_cache(1) def get_parameterised_retriever( - env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)] + env: Annotated[Settings, Depends(get_env)], + es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], ) -> BaseRetriever: """Creates an Elasticsearch retriever runnable. @@ -94,14 +102,17 @@ def get_parameterised_retriever( embedding_model=get_embedding_model(env), ).configurable_fields( params=ConfigurableField( - id="params", name="Retriever parameters", description="A dictionary of parameters to use for the retriever." + id="params", + name="Retriever parameters", + description="A dictionary of parameters to use for the retriever.", ) ) @lru_cache(1) def get_all_chunks_retriever( - env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)] + env: Annotated[Settings, Depends(get_env)], + es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], ): return AllElasticsearchRetriever( es_client=es, @@ -120,6 +131,7 @@ def get_llm(env: Annotated[Settings, Depends(get_env)]) -> ChatLiteLLM: streaming=True, openai_key=env.openai_api_key, callbacks=[logger_callback], + model=env.openai_model, ) elif env.azure_openai_api_key is not None: log.info("Creating Azure LLM Client") diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 2716eba79..fb1534980 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -10,9 +10,7 @@ log = logging.getLogger() -VANILLA_SYSTEM_PROMPT = ( - "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." -) +VANILLA_SYSTEM_PROMPT = "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." RETRIEVAL_SYSTEM_PROMPT = ( "Given the following conversation and extracted parts of a long document and a question, create a final answer. \n" @@ -66,15 +64,21 @@ VANILLA_QUESTION_PROMPT = "{question}\n=========\n Response: " -RETRIEVAL_QUESTION_PROMPT = "{question} \n=========\n{formatted_documents}\n=========\nFINAL ANSWER: " +RETRIEVAL_QUESTION_PROMPT = ( + "{question} \n=========\n{formatted_documents}\n=========\nFINAL ANSWER: " +) -SUMMARISATION_QUESTION_PROMPT = "Question: {question}. \n\n Documents: \n\n {documents} \n\n Answer: " +SUMMARISATION_QUESTION_PROMPT = ( + "Question: {question}. \n\n Documents: \n\n {documents} \n\n Answer: " +) MAP_QUESTION_PROMPT = "Question: {question}. " MAP_DOCUMENT_PROMPT = "\n\n Documents: \n\n {documents} \n\n Answer: " -REDUCE_QUESTION_PROMPT = "Question: {question}. \n\n Documents: \n\n {summaries} \n\n Answer: " +REDUCE_QUESTION_PROMPT = ( + "Question: {question}. \n\n Documents: \n\n {summaries} \n\n Answer: " +) CONDENSE_QUESTION_PROMPT = "{question}\n=========\n Standalone question: " @@ -136,6 +140,7 @@ class Settings(BaseSettings): anthropic_api_key: str | None = None openai_api_key: str | None = None + openai_model: str | None = None azure_openai_api_key: str | None = None azure_openai_endpoint: str | None = None @@ -183,7 +188,9 @@ class Settings(BaseSettings): dev_mode: bool = False superuser_email: str | None = None - model_config = SettingsConfigDict(env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True) + model_config = SettingsConfigDict( + env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True + ) def elasticsearch_client(self) -> Elasticsearch: if isinstance(self.elastic, ElasticLocalSettings): @@ -204,7 +211,9 @@ def elasticsearch_client(self) -> Elasticsearch: log.info("Cloud ID = %s", self.elastic.cloud_id) log.info("Elastic Cloud API Key = %s", self.elastic.api_key) - return Elasticsearch(cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key) + return Elasticsearch( + cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key + ) def s3_client(self): if self.object_store == "minio": From 537095f49889ccbe577b8c919e584dbd0afcac13 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Thu, 4 Jul 2024 16:37:40 +0100 Subject: [PATCH 028/153] fix: remove auto-formatting changes --- core_api/src/dependencies.py | 27 ++++++++------------------- redbox-core/redbox/models/settings.py | 24 ++++++++---------------- 2 files changed, 16 insertions(+), 35 deletions(-) diff --git a/core_api/src/dependencies.py b/core_api/src/dependencies.py index d90c8594e..4c03d2837 100644 --- a/core_api/src/dependencies.py +++ b/core_api/src/dependencies.py @@ -12,16 +12,13 @@ from langchain_core.retrievers import BaseRetriever from langchain_core.runnables import ConfigurableField from langchain_elasticsearch import ApproxRetrievalStrategy, ElasticsearchStore + +from core_api.src.callbacks import LoggerCallbackHandler +from core_api.src.retriever import AllElasticsearchRetriever, ParameterisedElasticsearchRetriever from redbox.model_db import MODEL_PATH from redbox.models import Settings from redbox.storage import ElasticsearchStorageHandler -from core_api.src.callbacks import LoggerCallbackHandler -from core_api.src.retriever import ( - AllElasticsearchRetriever, - ParameterisedElasticsearchRetriever, -) - logging.basicConfig(level=logging.INFO) log = logging.getLogger() @@ -32,17 +29,13 @@ def get_env() -> Settings: @lru_cache(1) -def get_elasticsearch_client( - env: Annotated[Settings, Depends(get_env)] -) -> Elasticsearch: +def get_elasticsearch_client(env: Annotated[Settings, Depends(get_env)]) -> Elasticsearch: return env.elasticsearch_client() @lru_cache(1) def get_embedding_model(env: Annotated[Settings, Depends(get_env)]) -> Embeddings: - embedding_model = SentenceTransformerEmbeddings( - model_name=env.embedding_model, cache_folder=MODEL_PATH - ) + embedding_model = SentenceTransformerEmbeddings(model_name=env.embedding_model, cache_folder=MODEL_PATH) log.info("Loaded embedding model from environment: %s", env.embedding_model) return embedding_model @@ -79,8 +72,7 @@ def get_vector_store( @lru_cache(1) def get_parameterised_retriever( - env: Annotated[Settings, Depends(get_env)], - es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], + env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], ) -> BaseRetriever: """Creates an Elasticsearch retriever runnable. @@ -102,17 +94,14 @@ def get_parameterised_retriever( embedding_model=get_embedding_model(env), ).configurable_fields( params=ConfigurableField( - id="params", - name="Retriever parameters", - description="A dictionary of parameters to use for the retriever.", + id="params", name="Retriever parameters", description="A dictionary of parameters to use for the retriever.", ) ) @lru_cache(1) def get_all_chunks_retriever( - env: Annotated[Settings, Depends(get_env)], - es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], + env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], ): return AllElasticsearchRetriever( es_client=es, diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index fb1534980..f899fb77e 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -10,7 +10,9 @@ log = logging.getLogger() -VANILLA_SYSTEM_PROMPT = "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." +VANILLA_SYSTEM_PROMPT = ( + "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." +) RETRIEVAL_SYSTEM_PROMPT = ( "Given the following conversation and extracted parts of a long document and a question, create a final answer. \n" @@ -64,21 +66,15 @@ VANILLA_QUESTION_PROMPT = "{question}\n=========\n Response: " -RETRIEVAL_QUESTION_PROMPT = ( - "{question} \n=========\n{formatted_documents}\n=========\nFINAL ANSWER: " -) +RETRIEVAL_QUESTION_PROMPT = "{question} \n=========\n{formatted_documents}\n=========\nFINAL ANSWER: " -SUMMARISATION_QUESTION_PROMPT = ( - "Question: {question}. \n\n Documents: \n\n {documents} \n\n Answer: " -) +SUMMARISATION_QUESTION_PROMPT = "Question: {question}. \n\n Documents: \n\n {documents} \n\n Answer: " MAP_QUESTION_PROMPT = "Question: {question}. " MAP_DOCUMENT_PROMPT = "\n\n Documents: \n\n {documents} \n\n Answer: " -REDUCE_QUESTION_PROMPT = ( - "Question: {question}. \n\n Documents: \n\n {summaries} \n\n Answer: " -) +REDUCE_QUESTION_PROMPT = "Question: {question}. \n\n Documents: \n\n {summaries} \n\n Answer: " CONDENSE_QUESTION_PROMPT = "{question}\n=========\n Standalone question: " @@ -188,9 +184,7 @@ class Settings(BaseSettings): dev_mode: bool = False superuser_email: str | None = None - model_config = SettingsConfigDict( - env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True - ) + model_config = SettingsConfigDict(env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True) def elasticsearch_client(self) -> Elasticsearch: if isinstance(self.elastic, ElasticLocalSettings): @@ -211,9 +205,7 @@ def elasticsearch_client(self) -> Elasticsearch: log.info("Cloud ID = %s", self.elastic.cloud_id) log.info("Elastic Cloud API Key = %s", self.elastic.api_key) - return Elasticsearch( - cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key - ) + return Elasticsearch(cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key) def s3_client(self): if self.object_store == "minio": From b121c0d9ab1fb75ea5340fd1e2040c2e28083450 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Thu, 4 Jul 2024 16:43:13 +0100 Subject: [PATCH 029/153] fix: remove auto-formatting changes --- core_api/src/dependencies.py | 6 +++--- redbox-core/redbox/models/settings.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/core_api/src/dependencies.py b/core_api/src/dependencies.py index 4c03d2837..fd477fb77 100644 --- a/core_api/src/dependencies.py +++ b/core_api/src/dependencies.py @@ -72,7 +72,7 @@ def get_vector_store( @lru_cache(1) def get_parameterised_retriever( - env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], + env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)] ) -> BaseRetriever: """Creates an Elasticsearch retriever runnable. @@ -94,14 +94,14 @@ def get_parameterised_retriever( embedding_model=get_embedding_model(env), ).configurable_fields( params=ConfigurableField( - id="params", name="Retriever parameters", description="A dictionary of parameters to use for the retriever.", + id="params", name="Retriever parameters", description="A dictionary of parameters to use for the retriever." ) ) @lru_cache(1) def get_all_chunks_retriever( - env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)], + env: Annotated[Settings, Depends(get_env)], es: Annotated[Elasticsearch, Depends(get_elasticsearch_client)] ): return AllElasticsearchRetriever( es_client=es, diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index f899fb77e..b7f1d69f8 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -10,7 +10,7 @@ log = logging.getLogger() -VANILLA_SYSTEM_PROMPT = ( +VANILLA_SYSTEM_PROMPT = ( "You are an AI assistant called Redbox tasked with answering questions and providing information objectively." ) From 95b8c31ceb3738202d1850774382f81574000b87 Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Tue, 9 Jul 2024 13:08:18 +0100 Subject: [PATCH 030/153] SSO integration with v0.4 --- Makefile | 12 +- django_app/poetry.lock | 22 ++- django_app/pyproject.toml | 1 + .../redbox_app/redbox_core/auth_views.py | 3 + django_app/redbox_app/redbox_core/models.py | 187 ++++++++++++------ django_app/redbox_app/settings.py | 28 ++- django_app/redbox_app/urls.py | 3 + django_app/start.sh | 1 + redbox-core/redbox/models/settings.py | 8 +- 9 files changed, 191 insertions(+), 74 deletions(-) diff --git a/Makefile b/Makefile index aae2c61d8..788065385 100644 --- a/Makefile +++ b/Makefile @@ -107,15 +107,17 @@ docs-build: ## Build documentation poetry run mkdocs build # Docker +AWS_ACCOUNT_ID=REPLACE_ME + AWS_REGION=eu-west-2 -APP_NAME=redbox +APP_NAME=dbt ECR_URL=$(AWS_ACCOUNT_ID).dkr.ecr.$(AWS_REGION).amazonaws.com ECR_REPO_URL=$(ECR_URL)/$(ECR_REPO_NAME) -IMAGE=$(ECR_REPO_URL):$(IMAGE_TAG) +IMAGE=latest ECR_REPO_NAME=$(APP_NAME) -PREV_IMAGE_TAG=$$(git rev-parse HEAD~1) -IMAGE_TAG=$$(git rev-parse HEAD) +PREV_IMAGE_TAG=latest +IMAGE_TAG=latest tf_build_args=-var "image_tag=$(IMAGE_TAG)" DOCKER_SERVICES=$$(docker compose config --services | grep -v mlflow) @@ -152,7 +154,7 @@ docker_build: ## Build the docker container PREV_IMAGE="$(ECR_REPO_URL)-$$service:$(PREV_IMAGE_TAG)"; \ echo "Pulling previous image: $$PREV_IMAGE"; \ docker pull $$PREV_IMAGE; \ - docker compose build $$service; \ + DOCKER_DEFAULT_PLATFORM=linux/amd64 docker compose build $$service; \ else \ echo "Skipping $$service uses default image"; \ fi; \ diff --git a/django_app/poetry.lock b/django_app/poetry.lock index bd87f0d4b..28cff50d8 100644 --- a/django_app/poetry.lock +++ b/django_app/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "asgiref" @@ -1266,6 +1266,24 @@ files = [ [package.dependencies] Django = ">=3.0" +[[package]] +name = "django-staff-sso-client" +version = "4.3.0" +description = "Reusable Django app to facilitate gov.uk Staff Single Sign On" +optional = false +python-versions = "*" +files = [ + {file = "django_staff_sso_client-4.3.0-py3-none-any.whl", hash = "sha256:873279b74cc40517af6b5c6c043db74e66d3d4f147ed1495ec357ac26c14d6fa"}, + {file = "django_staff_sso_client-4.3.0.tar.gz", hash = "sha256:4f320c5c5da02a9da9f5da90b32749ff3a0ad0dcf51eb758fb85fd0e932b5261"}, +] + +[package.dependencies] +Django = ">=4.2.10,<6.0" +requests-oauthlib = "*" + +[package.extras] +test = ["build", "codecov", "flake8 (==4.0.1)", "pytest (==7.1.1)", "pytest-cov", "pytest-django", "raven", "requests-mock", "setuptools", "twine", "wheel"] + [[package]] name = "django-storages" version = "1.14.3" @@ -3505,4 +3523,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.11.2,<3.13" -content-hash = "c09c07df08240d35432e3140ff2d2700211e90bec468d157c6f33287a726f77e" +content-hash = "279ef1f6ec0fa10a985c56cec6303a8c33790873dbfe10ee11b364e08fbdb49b" diff --git a/django_app/pyproject.toml b/django_app/pyproject.toml index 577516e51..1a7ac0ff5 100644 --- a/django_app/pyproject.toml +++ b/django_app/pyproject.toml @@ -38,6 +38,7 @@ django-gov-notify = "^0.5.0" websockets = "^12.0" django-import-export = "^4.0" dataclasses-json = ">=0.6.7" +django-staff-sso-client = "^4.3.0" [tool.poetry.group.dev.dependencies] pytest = "^8.1.1" diff --git a/django_app/redbox_app/redbox_core/auth_views.py b/django_app/redbox_app/redbox_core/auth_views.py index 5c47e1af5..3938403da 100644 --- a/django_app/redbox_app/redbox_core/auth_views.py +++ b/django_app/redbox_app/redbox_core/auth_views.py @@ -5,6 +5,7 @@ from django.shortcuts import redirect, render from magic_link.models import MagicLink from requests import HTTPError +from django.conf import settings from redbox_app.redbox_core import email_handler, models from redbox_app.redbox_core.forms import SignInForm @@ -15,6 +16,8 @@ def sign_in_view(request: HttpRequest): if request.user.is_authenticated: return redirect("homepage") + if settings.LOGIN_METHOD == "sso": + return redirect("/auth/login/") if request.method == "POST": form = SignInForm(request.POST) if form.is_valid(): diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index 4495c9175..575ba8a73 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -8,10 +8,15 @@ from django.db import models from django.utils import timezone from django.utils.translation import gettext_lazy as _ -from django_use_email_as_username.models import BaseUser, BaseUserManager from jose import jwt from yarl import URL +if settings.LOGIN_METHOD == "sso": + from django.contrib.auth.base_user import BaseUserManager + from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin +else: + from django_use_email_as_username.models import BaseUser, BaseUserManager + logger = logging.getLogger(__name__) @@ -37,65 +42,55 @@ class BusinessUnit(UUIDPrimaryKeyBase): def __str__(self) -> str: # pragma: no cover return f"{self.name}" - -class User(BaseUser, UUIDPrimaryKeyBase): - class UserGrade(models.TextChoices): - AA = "AA", _("AA") - AO = "AO", _("AO") - DEPUTY_DIRECTOR = "DD", _("Deputy Director") - DIRECTOR = "D", _("Director") - DIRECTOR_GENERAL = "DG", _("Director General") - EO = "EO", _("EO") - G6 = "G6", _("G6") - G7 = "G7", _("G7") - HEO = "HEO", _("HEO") - PS = "PS", _("Permanent Secretary") - SEO = "SEO", _("SEO") - OT = "OT", _("Other") - - class Profession(models.TextChoices): - AN = "AN", _("Analysis") - CM = "CMC", _("Commercial") - COM = "COM", _("Communications") - CFIN = "CFIN", _("Corporate finance") - CF = "CF", _("Counter fraud") - DDT = "DDT", _("Digital, data and technology") - EC = "EC", _("Economics") - FIN = "FIN", _("Finance") - FEDG = "FEDG", _("Fraud, error, debts and grants") - HR = "HR", _("Human resources") - IA = "IA", _("Intelligence analysis") - IAUD = "IAUD", _("Internal audit") - IT = "IT", _("International trade") - KIM = "KIM", _("Knowledge and information management") - LG = "LG", _("Legal") - MD = "MD", _("Medical") - OP = "OP", _("Occupational psychology") - OD = "OD", _("Operational delivery") - OR = "OR", _("Operational research") - PL = "PL", _("Planning") - PI = "PI", _("Planning inspection") - POL = "POL", _("Policy") - PD = "PD", _("Project delivery") - PR = "PR", _("Property") - SE = "SE", _("Science and engineering") - SC = "SC", _("Security") - SR = "SR", _("Social research") - ST = "ST", _("Statistics") - TX = "TX", _("Tax") - VET = "VET", _("Veterinary") - OT = "OT", _("Other") - - username = None - verified = models.BooleanField(default=False, blank=True, null=True) - invited_at = models.DateTimeField(default=None, blank=True, null=True) - invite_accepted_at = models.DateTimeField(default=None, blank=True, null=True) - last_token_sent_at = models.DateTimeField(editable=False, blank=True, null=True) - password = models.CharField("password", max_length=128, blank=True, null=True) +class RedboxUserManager(BaseUserManager): + + use_in_migrations = True + + def _create_user(self, username, password, **extra_fields): + """Create and save a User with the given email and password.""" + if not username: + raise ValueError("The given email must be set") + #email = self.normalize_email(email) + User = self.model(email=email, **extra_fields) + User.set_password(password) + User.save(using=self._db) + return User + + def create_user(self, username, password=None, **extra_fields): + """Create and save a regular User with the given email and password.""" + extra_fields.setdefault("is_staff", False) + extra_fields.setdefault("is_superuser", False) + return self._create_user(username, password, **extra_fields) + + def create_superuser(self, username, password, **extra_fields): + """Create and save a SuperUser with the given email and password.""" + extra_fields.setdefault("is_staff", True) + extra_fields.setdefault("is_superuser", True) + + if extra_fields.get("is_staff") is not True: + raise ValueError("Superuser must have is_staff=True.") + if extra_fields.get("is_superuser") is not True: + raise ValueError("Superuser must have is_superuser=True.") + + return self._create_user(username, password, **extra_fields) + +class User(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): + username = models.EmailField(unique=True, default="default@default.co.uk") + password = models.CharField(default="fakepassword") + email = models.EmailField(unique=True) + first_name = models.CharField(max_length=48) + last_name = models.CharField(max_length=48) + is_staff = models.BooleanField(default=False) + is_active = models.BooleanField(default=True) + is_superuser = models.BooleanField(default=False) + date_joined = models.DateTimeField(default=timezone.now) business_unit = models.ForeignKey(BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL) - grade = models.CharField(null=True, blank=True, max_length=3, choices=UserGrade) - profession = models.CharField(null=True, blank=True, max_length=4, choices=Profession) - objects = BaseUserManager() + grade = models.CharField(null=True, blank=True, max_length=3) + profession = models.CharField(null=True, blank=True, max_length=4) + + USERNAME_FIELD = 'username' + REQUIRED_FIELDS = [] + objects = RedboxUserManager() def __str__(self) -> str: # pragma: no cover return f"{self.email}" @@ -108,7 +103,79 @@ def get_bearer_token(self) -> str: """the bearer token expected by the core-api""" user_uuid = str(self.id) bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) - return f"Bearer {bearer_token}" + return f"Bearer {bearer_token}" + +# class User(BaseUser, UUIDPrimaryKeyBase): +# class UserGrade(models.TextChoices): +# AA = "AA", _("AA") +# AO = "AO", _("AO") +# DEPUTY_DIRECTOR = "DD", _("Deputy Director") +# DIRECTOR = "D", _("Director") +# DIRECTOR_GENERAL = "DG", _("Director General") +# EO = "EO", _("EO") +# G6 = "G6", _("G6") +# G7 = "G7", _("G7") +# HEO = "HEO", _("HEO") +# PS = "PS", _("Permanent Secretary") +# SEO = "SEO", _("SEO") +# OT = "OT", _("Other") + +# class Profession(models.TextChoices): +# AN = "AN", _("Analysis") +# CM = "CMC", _("Commercial") +# COM = "COM", _("Communications") +# CFIN = "CFIN", _("Corporate finance") +# CF = "CF", _("Counter fraud") +# DDT = "DDT", _("Digital, data and technology") +# EC = "EC", _("Economics") +# FIN = "FIN", _("Finance") +# FEDG = "FEDG", _("Fraud, error, debts and grants") +# HR = "HR", _("Human resources") +# IA = "IA", _("Intelligence analysis") +# IAUD = "IAUD", _("Internal audit") +# IT = "IT", _("International trade") +# KIM = "KIM", _("Knowledge and information management") +# LG = "LG", _("Legal") +# MD = "MD", _("Medical") +# OP = "OP", _("Occupational psychology") +# OD = "OD", _("Operational delivery") +# OR = "OR", _("Operational research") +# PL = "PL", _("Planning") +# PI = "PI", _("Planning inspection") +# POL = "POL", _("Policy") +# PD = "PD", _("Project delivery") +# PR = "PR", _("Property") +# SE = "SE", _("Science and engineering") +# SC = "SC", _("Security") +# SR = "SR", _("Social research") +# ST = "ST", _("Statistics") +# TX = "TX", _("Tax") +# VET = "VET", _("Veterinary") +# OT = "OT", _("Other") + +# username = None +# verified = models.BooleanField(default=False, blank=True, null=True) +# invited_at = models.DateTimeField(default=None, blank=True, null=True) +# invite_accepted_at = models.DateTimeField(default=None, blank=True, null=True) +# last_token_sent_at = models.DateTimeField(editable=False, blank=True, null=True) +# password = models.CharField("password", max_length=128, blank=True, null=True) +# business_unit = models.ForeignKey(BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL) +# grade = models.CharField(null=True, blank=True, max_length=3, choices=UserGrade) +# profession = models.CharField(null=True, blank=True, max_length=4, choices=Profession) +# objects = BaseUserManager() + +# def __str__(self) -> str: # pragma: no cover +# return f"{self.email}" + +# def save(self, *args, **kwargs): +# self.email = self.email.lower() +# super().save(*args, **kwargs) + +# def get_bearer_token(self) -> str: +# """the bearer token expected by the core-api""" +# user_uuid = str(self.id) +# bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) +# return f"Bearer {bearer_token}" class StatusEnum(models.TextChoices): diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index b68ed4b36..2daf118c3 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -4,6 +4,7 @@ from pathlib import Path import environ +from django.urls import reverse_lazy import sentry_sdk from dotenv import load_dotenv from import_export.formats.base_formats import CSV @@ -19,6 +20,8 @@ SECRET_KEY = env.str("DJANGO_SECRET_KEY") ENVIRONMENT = Environment[env.str("ENVIRONMENT").upper()] WEBSOCKET_SCHEME = "ws" if ENVIRONMENT.is_test else "wss" +LOGIN_METHOD = env.str("LOGIN_METHOD") + # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool("DEBUG") @@ -65,6 +68,9 @@ "import_export", ] +if LOGIN_METHOD == "sso": + INSTALLED_APPS.append("authbroker_client") + MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", "whitenoise.middleware.WhiteNoiseMiddleware", @@ -117,6 +123,9 @@ "django.contrib.auth.backends.ModelBackend", ] +if LOGIN_METHOD == "sso": + AUTHENTICATION_BACKENDS.append("authbroker_client.backends.AuthbrokerBackend") + AUTH_PASSWORD_VALIDATORS = [ { "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator", @@ -144,8 +153,8 @@ SITE_ID = 1 AUTH_USER_MODEL = "redbox_core.User" ACCOUNT_EMAIL_VERIFICATION = "none" -LOGIN_REDIRECT_URL = "homepage" -LOGIN_URL = "sign-in" +# LOGIN_REDIRECT_URL = "homepage" +# LOGIN_URL = "sign-in" # CSP settings https://content-security-policy.com/ # https://django-csp.readthedocs.io/ @@ -232,7 +241,7 @@ ALLOWED_HOSTS = ENVIRONMENT.hosts else: LOCALHOST = socket.gethostbyname(socket.gethostname()) - ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts] + ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts,"redbox-sandbox.uktrade.digital","dbt-default-alb-1550180991.eu-west-2.elb.amazonaws.com"] if not ENVIRONMENT.is_local: SENTRY_DSN = env.str("SENTRY_DSN", None) @@ -331,3 +340,16 @@ FILE_EXPIRY_IN_SECONDS = env.int("FILE_EXPIRY_IN_DAYS") * 24 * 60 * 60 SUPERUSER_EMAIL = env.str("SUPERUSER_EMAIL", None) MAX_SECURITY_CLASSIFICATION = Classification[env.str("MAX_SECURITY_CLASSIFICATION")] + +if LOGIN_METHOD == "sso": + AUTHBROKER_URL = env.str("AUTHBROKER_URL") + AUTHBROKER_CLIENT_ID = env.str("AUTHBROKER_CLIENT_ID") + AUTHBROKER_CLIENT_SECRET = env.str("AUTHBROKER_CLIENT_SECRET") + LOGIN_URL = reverse_lazy("authbroker_client:login") + LOGIN_REDIRECT_URL = reverse_lazy("homepage") +elif LOGIN_METHOD == "magic_link": + LOGIN_REDIRECT_URL = "homepage" + LOGIN_URL = "sign-in" +else: + LOGIN_REDIRECT_URL = "homepage" + LOGIN_URL = "sign-in" \ No newline at end of file diff --git a/django_app/redbox_app/urls.py b/django_app/redbox_app/urls.py index 848c9c0e9..5ff06a671 100644 --- a/django_app/redbox_app/urls.py +++ b/django_app/redbox_app/urls.py @@ -17,6 +17,9 @@ path("signed-out/", auth_views.signed_out_view, name="signed-out"), ] +if settings.LOGIN_METHOD == "sso": + auth_urlpatterns.append(path("auth/", include("authbroker_client.urls"))) + info_urlpatterns = [ path("privacy-notice/", info_views.privacy_notice_view, name="privacy-notice"), path( diff --git a/django_app/start.sh b/django_app/start.sh index b4219c68e..4c29439cd 100644 --- a/django_app/start.sh +++ b/django_app/start.sh @@ -1,5 +1,6 @@ #!/bin/sh +venv/bin/django-admin makemigrations venv/bin/django-admin migrate venv/bin/django-admin collectstatic --noinput venv/bin/django-admin compress --force --engine jinja2 diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index b7f1d69f8..0e6d3ce71 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -110,12 +110,12 @@ class ElasticLocalSettings(BaseModel): model_config = SettingsConfigDict(frozen=True) - host: str = "elasticsearch" + host: str = "elasticsearch.internal" port: int = 9200 scheme: str = "http" user: str = "elastic" - version: str = "8.11.0" - password: str = "redboxpass" + version: str = "8.14.0" + password: str = "IngKKFLDMtGRF5Xb1L2Z" subscription_level: str = "basic" @@ -151,7 +151,7 @@ class Settings(BaseSettings): partition_strategy: Literal["auto", "fast", "ocr_only", "hi_res"] = "fast" clustering_strategy: Literal["full"] | None = None - elastic: ElasticCloudSettings | ElasticLocalSettings = ElasticLocalSettings() + elastic: ElasticLocalSettings = ElasticLocalSettings() elastic_root_index: str = "redbox-data" kibana_system_password: str = "redboxpass" From b615bb67334f1c55f8543f632f5b4a93b845ba1d Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 14:28:01 +0100 Subject: [PATCH 031/153] feat:make elastic host and password configurable --- redbox-core/redbox/models/settings.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 0e6d3ce71..9a5f42c14 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -110,13 +110,13 @@ class ElasticLocalSettings(BaseModel): model_config = SettingsConfigDict(frozen=True) - host: str = "elasticsearch.internal" - port: int = 9200 - scheme: str = "http" - user: str = "elastic" - version: str = "8.14.0" - password: str = "IngKKFLDMtGRF5Xb1L2Z" - subscription_level: str = "basic" + elastic_host: str | None = None + elastic_port: int = 9200 + elastic_scheme: str = "http" + elastic_user: str = "elastic" + elastic_version: str = "8.14.0" + elastic_password: str | None = None + elastic_subscription_level: str = "basic" class ElasticCloudSettings(BaseModel): @@ -193,12 +193,12 @@ def elasticsearch_client(self) -> Elasticsearch: return Elasticsearch( hosts=[ { - "host": self.elastic.host, - "port": self.elastic.port, - "scheme": self.elastic.scheme, + "host": self.elastic.elastic_host, + "port": self.elastic.elastic_port, + "scheme": self.elastic.elastic_scheme, } ], - basic_auth=(self.elastic.user, self.elastic.password), + basic_auth=(self.elastic.elastic_user, self.elastic.elastic_password), ) log.info("Connecting to Elastic Cloud Cluster") From de216a541dc8e81d87492f1967c7f5367cab3679 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 15:47:04 +0100 Subject: [PATCH 032/153] fix: host updated to elastic_host --- redbox-core/redbox/models/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 9a5f42c14..5f4f989a9 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -189,7 +189,7 @@ class Settings(BaseSettings): def elasticsearch_client(self) -> Elasticsearch: if isinstance(self.elastic, ElasticLocalSettings): log.info("Connecting to self managed Elasticsearch") - log.info("Elasticsearch host = %s", self.elastic.host) + log.info("Elasticsearch host = %s", self.elastic.elastic_host) return Elasticsearch( hosts=[ { From 0d5bfebf0cd742e819bfe39f652b8b0b61916ea8 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 16:22:39 +0100 Subject: [PATCH 033/153] fix: update elastic_host and elastic_password --- redbox-core/redbox/models/settings.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 5f4f989a9..f5c74e4de 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -5,6 +5,11 @@ from elasticsearch import Elasticsearch from pydantic import BaseModel from pydantic_settings import BaseSettings, SettingsConfigDict +import environ + +load_dotenv() + +env = environ.Env() logging.basicConfig(level=logging.INFO) log = logging.getLogger() @@ -110,12 +115,12 @@ class ElasticLocalSettings(BaseModel): model_config = SettingsConfigDict(frozen=True) - elastic_host: str | None = None + elastic_host: str = env.str("ELASTIC_HOST") elastic_port: int = 9200 elastic_scheme: str = "http" elastic_user: str = "elastic" elastic_version: str = "8.14.0" - elastic_password: str | None = None + elastic_password: str = env.str("ELASTIC__PASSWORD") elastic_subscription_level: str = "basic" From 26ebb9821dd729bd665207c68069c612ff067bd8 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 16:37:28 +0100 Subject: [PATCH 034/153] fix: remove default values in env files --- .env.django | 4 ++-- .env.example | 4 ++-- .env.integration | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/.env.django b/.env.django index 41bb42dd2..f44a58156 100644 --- a/.env.django +++ b/.env.django @@ -11,10 +11,10 @@ DEV_MODE=true # === Database === -ELASTIC__HOST=elasticsearch +ELASTIC__HOST= ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD=redboxpass +ELASTIC__PASSWORD= ELASTIC__PORT=9200 ELASTIC__SCHEME=http diff --git a/.env.example b/.env.example index ed2f1714a..fc000b229 100644 --- a/.env.example +++ b/.env.example @@ -11,10 +11,10 @@ DEV_MODE=true # === Database === -ELASTIC__HOST=elasticsearch +ELASTIC__HOST= ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD=redboxpass +ELASTIC__PASSWORD= ELASTIC__PORT=9200 ELASTIC__SCHEME=http ELASTIC__SUBSCRIPTION_LEVEL=basic diff --git a/.env.integration b/.env.integration index e3c07b55d..9eb69b9d0 100644 --- a/.env.integration +++ b/.env.integration @@ -5,10 +5,10 @@ LLM_MAX_TOKENS=1024 # === Database === -ELASTIC__HOST=elasticsearch +ELASTIC__HOST= ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD=redboxpass +ELASTIC__PASSWORD= ELASTIC__PORT=9200 ELASTIC__SCHEME=http ELASTIC__SUBSCRIPTION_LEVEL=basic From 2a7f41ed27c8d1d1a6320c6f7dbf53f64863d63b Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 9 Jul 2024 22:27:30 +0100 Subject: [PATCH 035/153] fix: revert environment variable changes --- .env.django | 4 ++-- .env.example | 4 ++-- .env.integration | 4 ++-- redbox-core/redbox/models/settings.py | 29 +++++++++++---------------- 4 files changed, 18 insertions(+), 23 deletions(-) diff --git a/.env.django b/.env.django index f44a58156..41bb42dd2 100644 --- a/.env.django +++ b/.env.django @@ -11,10 +11,10 @@ DEV_MODE=true # === Database === -ELASTIC__HOST= +ELASTIC__HOST=elasticsearch ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD= +ELASTIC__PASSWORD=redboxpass ELASTIC__PORT=9200 ELASTIC__SCHEME=http diff --git a/.env.example b/.env.example index fc000b229..ed2f1714a 100644 --- a/.env.example +++ b/.env.example @@ -11,10 +11,10 @@ DEV_MODE=true # === Database === -ELASTIC__HOST= +ELASTIC__HOST=elasticsearch ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD= +ELASTIC__PASSWORD=redboxpass ELASTIC__PORT=9200 ELASTIC__SCHEME=http ELASTIC__SUBSCRIPTION_LEVEL=basic diff --git a/.env.integration b/.env.integration index 9eb69b9d0..e3c07b55d 100644 --- a/.env.integration +++ b/.env.integration @@ -5,10 +5,10 @@ LLM_MAX_TOKENS=1024 # === Database === -ELASTIC__HOST= +ELASTIC__HOST=elasticsearch ELASTIC__VERSION=8.11.0 ELASTIC__USER=elastic -ELASTIC__PASSWORD= +ELASTIC__PASSWORD=redboxpass ELASTIC__PORT=9200 ELASTIC__SCHEME=http ELASTIC__SUBSCRIPTION_LEVEL=basic diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index f5c74e4de..a194536b1 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -5,11 +5,7 @@ from elasticsearch import Elasticsearch from pydantic import BaseModel from pydantic_settings import BaseSettings, SettingsConfigDict -import environ -load_dotenv() - -env = environ.Env() logging.basicConfig(level=logging.INFO) log = logging.getLogger() @@ -109,19 +105,18 @@ class AISettings(BaseModel): reduce_system_prompt: str = REDUCE_SYSTEM_PROMPT reduce_question_prompt: str = REDUCE_QUESTION_PROMPT - class ElasticLocalSettings(BaseModel): """settings required for a local/ec2 instance of elastic""" model_config = SettingsConfigDict(frozen=True) - elastic_host: str = env.str("ELASTIC_HOST") - elastic_port: int = 9200 - elastic_scheme: str = "http" - elastic_user: str = "elastic" - elastic_version: str = "8.14.0" - elastic_password: str = env.str("ELASTIC__PASSWORD") - elastic_subscription_level: str = "basic" + host: str = "elasticsearch" + port: int = 9200 + scheme: str = "http" + user: str = "elastic" + version: str = "8.11.0" + password: str = "redboxpass" + subscription_level: str = "basic" class ElasticCloudSettings(BaseModel): @@ -194,16 +189,16 @@ class Settings(BaseSettings): def elasticsearch_client(self) -> Elasticsearch: if isinstance(self.elastic, ElasticLocalSettings): log.info("Connecting to self managed Elasticsearch") - log.info("Elasticsearch host = %s", self.elastic.elastic_host) + log.info("Elasticsearch host = %s", self.elastic.host) return Elasticsearch( hosts=[ { - "host": self.elastic.elastic_host, - "port": self.elastic.elastic_port, - "scheme": self.elastic.elastic_scheme, + "host": self.elastic.host, + "port": self.elastic.port, + "scheme": self.elastic.scheme, } ], - basic_auth=(self.elastic.elastic_user, self.elastic.elastic_password), + basic_auth=(self.elastic.user, self.elastic.password), ) log.info("Connecting to Elastic Cloud Cluster") From f92e7512d0ffcd4f0e422fd8b5e85f0cabb7fd44 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 10 Jul 2024 10:11:19 +0100 Subject: [PATCH 036/153] add hosts env variable --- django_app/redbox_app/settings.py | 31 ++++++++++++++++++++----------- 1 file changed, 20 insertions(+), 11 deletions(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 2daf118c3..3606c5df7 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -4,15 +4,14 @@ from pathlib import Path import environ -from django.urls import reverse_lazy import sentry_sdk +from django.urls import reverse_lazy from dotenv import load_dotenv from import_export.formats.base_formats import CSV +from redbox_app.setting_enums import Classification, Environment from sentry_sdk.integrations.django import DjangoIntegration from storages.backends import s3boto3 -from redbox_app.setting_enums import Classification, Environment - load_dotenv() env = environ.Env() @@ -22,6 +21,11 @@ WEBSOCKET_SCHEME = "ws" if ENVIRONMENT.is_test else "wss" LOGIN_METHOD = env.str("LOGIN_METHOD") +if env.str("HOSTS"): + env_hosts = env.str("HOSTS", "").split(",") +else: + env_hosts = ENVIRONMENT.hosts + # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool("DEBUG") @@ -153,8 +157,6 @@ SITE_ID = 1 AUTH_USER_MODEL = "redbox_core.User" ACCOUNT_EMAIL_VERIFICATION = "none" -# LOGIN_REDIRECT_URL = "homepage" -# LOGIN_URL = "sign-in" # CSP settings https://content-security-policy.com/ # https://django-csp.readthedocs.io/ @@ -176,7 +178,7 @@ ) CSP_STYLE_SRC = ("'self'",) CSP_FRAME_ANCESTORS = ("'none'",) -CSP_CONNECT_SRC = ["'self'", f"wss://{ENVIRONMENT.hosts[0]}/ws/chat/", "plausible.io"] +CSP_CONNECT_SRC = ["'self'", f"wss://{env_hosts[0]}/ws/chat/", "plausible.io"] # https://pypi.org/project/django-permissions-policy/ PERMISSIONS_POLICY: dict[str, list] = { @@ -238,10 +240,13 @@ SESSION_COOKIE_SECURE = True if ENVIRONMENT.is_test: - ALLOWED_HOSTS = ENVIRONMENT.hosts + ALLOWED_HOSTS = env_hosts else: LOCALHOST = socket.gethostbyname(socket.gethostname()) - ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts,"redbox-sandbox.uktrade.digital","dbt-default-alb-1550180991.eu-west-2.elb.amazonaws.com"] + ALLOWED_HOSTS = [ + LOCALHOST, + *env_hosts, + ] if not ENVIRONMENT.is_local: SENTRY_DSN = env.str("SENTRY_DSN", None) @@ -273,7 +278,9 @@ LOGGING = { "version": 1, "disable_existing_loggers": False, - "formatters": {"verbose": {"format": "%(asctime)s %(levelname)s %(module)s: %(message)s"}}, + "formatters": { + "verbose": {"format": "%(asctime)s %(levelname)s %(module)s: %(message)s"} + }, "handlers": { "file": { "level": LOG_LEVEL, @@ -314,7 +321,9 @@ elif EMAIL_BACKEND_TYPE == "GOVUKNOTIFY": EMAIL_BACKEND = "django_gov_notify.backends.NotifyEmailBackend" GOVUK_NOTIFY_API_KEY = env.str("GOVUK_NOTIFY_API_KEY") - GOVUK_NOTIFY_PLAIN_EMAIL_TEMPLATE_ID = env.str("GOVUK_NOTIFY_PLAIN_EMAIL_TEMPLATE_ID") + GOVUK_NOTIFY_PLAIN_EMAIL_TEMPLATE_ID = env.str( + "GOVUK_NOTIFY_PLAIN_EMAIL_TEMPLATE_ID" + ) else: message = f"Unknown EMAIL_BACKEND_TYPE of {EMAIL_BACKEND_TYPE}" raise ValueError(message) @@ -352,4 +361,4 @@ LOGIN_URL = "sign-in" else: LOGIN_REDIRECT_URL = "homepage" - LOGIN_URL = "sign-in" \ No newline at end of file + LOGIN_URL = "sign-in" From d19c9c097c470731a751721058c9344733fa6b78 Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Tue, 9 Jul 2024 20:53:17 +0100 Subject: [PATCH 037/153] hot fix deployment Prod fix: rebase against dev to incorporate hosts --- django_app/redbox_app/settings.py | 1 + redbox-core/redbox/models/settings.py | 1 - 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 3606c5df7..4e753bf09 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -243,6 +243,7 @@ ALLOWED_HOSTS = env_hosts else: LOCALHOST = socket.gethostbyname(socket.gethostname()) + ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts,"redbox-trial.uktrade.digital","dbt-default-alb-1021417632.eu-west-2.elb.amazonaws.com"] ALLOWED_HOSTS = [ LOCALHOST, *env_hosts, diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index a194536b1..c64877007 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -6,7 +6,6 @@ from pydantic import BaseModel from pydantic_settings import BaseSettings, SettingsConfigDict - logging.basicConfig(level=logging.INFO) log = logging.getLogger() From 9a42d5e33a8955dc17c6b21bd687c34f2c8f4bea Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Wed, 10 Jul 2024 12:42:25 +0100 Subject: [PATCH 038/153] feat: modify HTML to reflect DBT-specific content --- .../templates/accessibility-statement.html | 71 +++++------ django_app/redbox_app/templates/base.html | 4 +- .../redbox_app/templates/documents.html | 6 + django_app/redbox_app/templates/homepage.html | 4 +- .../redbox_app/templates/privacy-notice.html | 117 +++++++++--------- django_app/redbox_app/templates/support.html | 76 ++++++------ 6 files changed, 138 insertions(+), 140 deletions(-) diff --git a/django_app/redbox_app/templates/accessibility-statement.html b/django_app/redbox_app/templates/accessibility-statement.html index 2512a1dc8..f7594f893 100644 --- a/django_app/redbox_app/templates/accessibility-statement.html +++ b/django_app/redbox_app/templates/accessibility-statement.html @@ -4,43 +4,40 @@ {% block content %} -
-
+
+

Accessibility statement for Redbox Copilot

+ +

This accessibility statement applies to Redbox Copilot.

+

This website is run by the Department for Business and Trade. Whilst the website is currently only being trialed, overtime we may want as many people as possible to be able to use this website. For example, that means you should be able to:

+
    +
  • change colours, contrast levels and fonts
    • +
  • zoom in up to 300% without the text spilling off the screen
    • +
  • navigate most of the website using just a keyboard
    • +
  • navigate most of the website using speech recognition software
    • +
  • listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)
    • +
+

We've also made the website text as simple as possible to understand.

+

AbilityNet has advice on making your device easier to use if you have a disability.

+ +

Feedback and contact information

+

If you need information on this website in a different format like accessible PDF, large print, easy read, audio recording or braille, email {{contact_email}}

+

We'll consider your request and get back to you in 14 days.

+ +

Reporting accessibility problems with this website

+

We're always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we're not meeting accessibility requirements, contact the team at {{contact_email}}.

+ +

Enforcement procedure

+

The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the "accessibility regulations"). If you're not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).

+ +

Technical information about this website's accessibility

+

The Department for Business and Trade is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.

+ +

Compliance status

+

This website is fully compliant with the Web Content Accessibility Guidelines version 2.2 AA standard.

+ +

Preparation of this accessibility statement

+

This statement was prepared on 27th February 2024. It was last reviewed on 21st June 2024.

-

Accessibility statement for Redbox

- -

This accessibility statement applies to Redbox.

-

This website is run by the Cabinet Office. We want as many people as possible to be able to use this website. For example, that means you should be able to:

-
    -
  • change colours, contrast levels and fonts
    • -
  • zoom in up to 300% without the text spilling off the screen
    • -
  • navigate most of the website using just a keyboard
    • -
  • navigate most of the website using speech recognition software
    • -
  • listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)
    • -
-

We've also made the website text as simple as possible to understand.

-

AbilityNet has advice on making your device easier to use if you have a disability.

- -

Feedback and contact information

-

If you need information on this website in a different format like accessible PDF, large print, easy read, audio recording or braille, email {{contact_email}}

-

We'll consider your request and get back to you in 14 days.

- -

Reporting accessibility problems with this website

-

We're always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we're not meeting accessibility requirements, contact the team at {{contact_email}}.

- -

Enforcement procedure

-

The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the "accessibility regulations"). If you're not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).

- -

Technical information about this website's accessibility

-

Cabinet Office is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.

- -

Compliance status

-

This website is fully compliant with the Web Content Accessibility Guidelines version 2.2 AA standard.

- -

Preparation of this accessibility statement

-

This statement was prepared on 27th February 2024. It was last reviewed on 12th April 2024.

- -
-{% endblock %} +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index 87f08bcfe..a76e763b2 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -57,7 +57,7 @@ {% set menu_items = [ {"text": "Documents", "href": url('documents')}, {"text": "Chats", "href": url('chats')}, - {"text": "My details", "href": url('demographics')}, + {"text": "Sign out", "href": url('signed-out')} ] %} {% else %} @@ -115,7 +115,7 @@ - +
diff --git a/django_app/redbox_app/templates/documents.html b/django_app/redbox_app/templates/documents.html index a4eb97601..5ccfcfc68 100644 --- a/django_app/redbox_app/templates/documents.html +++ b/django_app/redbox_app/templates/documents.html @@ -40,6 +40,12 @@

Your documents

Manage documents to use with your Redbox.

Redbox generates a response using only the documents you upload. This is different to other Large Language Models (LLM) such as ChatGPT and Claude.

+

Redbox can take documents you upload and use them in tandem with the AI to perform a number of functions:

+
    +
  • chat directly with a document through asking questions
    • +
  • summarise any document
    • +
+

Use @chat when sending a message to talk directly to the AI, otherwise Redbox will default to interacting with your documents.

{#
diff --git a/django_app/redbox_app/templates/homepage.html b/django_app/redbox_app/templates/homepage.html index df071c32d..4cf3899be 100644 --- a/django_app/redbox_app/templates/homepage.html +++ b/django_app/redbox_app/templates/homepage.html @@ -8,8 +8,8 @@
-

Ask any question of documents in your Redbox

-

Use Artificial Intelligence (AI) to get insights from your personal document set. You can use up to, and including, {{ security }} documents.

+

Use Artificial Intelligence (AI) to interact with Official level documents from your own document set.

+

You may summarise documents, ask questions related to one or more documents, and chat directly with the AI to assist you in your work. You can use up to, and including, Official documents.

{% if not request.user.is_authenticated %} {{ govukButton( diff --git a/django_app/redbox_app/templates/privacy-notice.html b/django_app/redbox_app/templates/privacy-notice.html index 14657b0f3..5f2b4144f 100644 --- a/django_app/redbox_app/templates/privacy-notice.html +++ b/django_app/redbox_app/templates/privacy-notice.html @@ -5,66 +5,63 @@ {% block content %} -
-
- -

Privacy notice for Redbox

-
-

This notice sets out how we will use your personal data, and your rights. It is made under Articles 13 and/or 14 of the UK General Data Protection Regulation (UK GDPR).

- -

Your data

-

Purpose

-

The purposes for which we are processing your personal data are:

-
    -
  • enabling login to the platform
    • -
  • information will be aggregated and used for anonymous further analysis
    • -
- -

The data

-

We will process the following personal data:

-
    -
  • organisational email address
    • -
- - -

Legal basis of processing

-

The legal basis for processing your personal data is:

-
    -
  • data subject consents
    • -
- -

Recipients

-

Your personal data will be shared by us with analysts/researchers within the Cabinet Office if you have consented to be contacted further about Redbox.

-

As your personal data will be stored on our IT infrastructure it will also be shared with our data processors who provide email, and document management and storage services.

- -

Retention

-

Your personal data will be retained for 12 months after account inactivity. At that point we will delete your email address, depersonalising the data we hold. If you have provided us consent to contact you, we will retain your email until and continue sharing it with evaluators so they can conduct research on the long term impact of Redbox.

- -

Your rights

-

You have the right to request information about how your personal data are processed, and to request a copy of that personal data.

-

You have the right to request that any inaccuracies in your personal data are rectified without delay.

-

You have the right to request that any incomplete personal data are completed, including by means of a supplementary statement.

-

You have the right to request that your personal data are erased if there is no longer a justification for them to be processed.

-

You have the right in certain circumstances (for example, where accuracy is contested) to request that the processing of your personal data is restricted.

-

You have the right to object to the processing of your personal data where it is processed for direct marketing purposes.

-

You have the right to withdraw consent to the processing of your personal data at any time.

- -

International transfers

-

As your personal data is stored on our IT infrastructure, and shared with our data processors, it may be transferred and stored securely outside the UK. Where that is the case it will be subject to equivalent legal protection through an adequacy decision or reliance on Standard Contractual Clauses.

- -

Complaints

-

If you consider that your personal data has been misused or mishandled, you may make a complaint to the Information Commissioner, who is an independent regulator. The Information Commissioner can be contacted at: Information Commissioner's Office, Wycliffe House, Water Lane, Wilmslow, Cheshire, SK9 5AF, or 0303 123 1113, or icocasework@ico.org.uk. Any complaint to the Information Commissioner is without prejudice to your right to seek redress through the courts.

- -

Contact details

-

The data controller for your personal data is the Cabinet Office. The contact details for the data controller are: Cabinet Office, 70 Whitehall, London, SW1A 2AS, or 0207 276 1234, or publiccorrespondence@cabinetoffice.gov.uk.

-

The contact details for the data controller's Data Protection Officer are: dpo@cabinetoffice.gov.uk.

-

The Data Protection Officer provides independent advice and monitoring of Cabinet Office's use of personal information.

- -

Changes to this notice

-

We may change this privacy notice. When we make changes to this notice, the "last updated" date at the bottom of this page will also change. Any changes to this privacy notice will apply to you and your data immediately. If these changes affect how your personal data is processed, Cabinet Office will take reasonable steps to make sure you know.

-

Last updated: 16th April 2024

- +
+

Privacy notice for Redbox Copilot

+
+

This notice sets out how we will use your personal data, and your rights. It is made under Articles 13 and/or 14 of the UK General Data Protection Regulation (UK GDPR).

+ +

Your data

+

Purpose

+

The purposes for which we are processing your personal data are:

+
    +
  • enabling login to the platform
    • +
  • information will be aggregated and used for anonymous further analysis
    • +
+ +

The data

+

We will process the following personal data:

+
    +
  • organisational email address
    • +
+ + +

Legal basis of processing

+

The legal basis for processing your personal data is:

+
    +
  • data subject consents
    • +
+ +

Recipients

+

Your personal data will be shared by us with analysts/researchers within the Department for Business and Trade if you have consented to be contacted further about Redbox Copilot.

+

As your personal data will be stored on our IT infrastructure it will also be shared with our data processors who provide email, and document management and storage services.

+ +

Retention

+

Your personal data will be retained for 12 months after account inactivity. At that point we will delete your email address, depersonalising the data we hold. If you have provided us consent to contact you, we will retain your email until and continue sharing it with evaluators so they can conduct research on the long term impact of Redbox Copilot.

+ +

Your rights

+

You have the right to request information about how your personal data are processed, and to request a copy of that personal data.

+

You have the right to request that any inaccuracies in your personal data are rectified without delay.

+

You have the right to request that any incomplete personal data are completed, including by means of a supplementary statement.

+

You have the right to request that your personal data are erased if there is no longer a justification for them to be processed.

+

You have the right in certain circumstances (for example, where accuracy is contested) to request that the processing of your personal data is restricted.

+

You have the right to object to the processing of your personal data where it is processed for direct marketing purposes.

+

You have the right to withdraw consent to the processing of your personal data at any time.

+ +

International transfers

+

As your personal data is stored on our IT infrastructure, and shared with our data processors, it may be transferred and stored securely outside the UK. Where that is the case it will be subject to equivalent legal protection through an adequacy decision or reliance on Standard Contractual Clauses.

+ +

Complaints

+

If you consider that your personal data has been misused or mishandled, you may make a complaint to the Information Commissioner, who is an independent regulator. The Information Commissioner can be contacted at: Information Commissioner's Office, Wycliffe House, Water Lane, Wilmslow, Cheshire, SK9 5AF, or 0303 123 1113, or icocasework@ico.org.uk. Any complaint to the Information Commissioner is without prejudice to your right to seek redress through the courts.

+ +

Contact details

+

If you have any questions about this privacy notice or how we handle your personal information, you can also write to us at: {{contact_email}}

+

The Department for Business and Trade are registered as a Data Controller under the General Data Protection Regulation and Data Protection Act 2018, and are based at: Department for Business and Trade, Old Admiralty Building, Admiralty Place, London, SW1A 2DY

+ + +

Changes to this notice

+

We may change this privacy notice. When we make changes to this notice, the "last updated" date at the bottom of this page will also change. Any changes to this privacy notice will apply to you and your data immediately. If these changes affect how your personal data is processed, Cabinet Office will take reasonable steps to make sure you know.

+

Last updated: 21st June 2024

-{% endblock %} +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/support.html b/django_app/redbox_app/templates/support.html index acbf4d170..b7b67b740 100644 --- a/django_app/redbox_app/templates/support.html +++ b/django_app/redbox_app/templates/support.html @@ -4,58 +4,56 @@ {% block content %} -
-
+
-

Support

+

Support

- {# -

User guide

- -

You can download the User Guide (PDF, 1.1MB), a step-by-step guide to signing in and using your account.

+ {# +

User guide

+ +

You can download the User Guide (PDF, 1.1MB), a step-by-step guide to signing in and using your account.

-

Accessing Redbox

-

You can access your Redbox account by visiting . You'll need to type your work email address in the box provided and select the submit button.

- #} +

Accessing Redbox Copilot

+

You can access your Redbox Copilot account by visiting . You'll need to type your work email address in the box provided and select the submit button.

+ #} -

Signing in

-

If you're having trouble signing in to the Redbox platform, check that:

+

Signing in

+

If you're having trouble signing in to the Redbox Copilot platform, check that:

-
    -
  • you're using your work email address
    • -
  • you've typed your work email address correctly
    • -
+
    +
  • you're using your work email address
    • +
  • you've typed your work email address correctly
    • +
-

You should check your junk or spam folder for an email from Redbox.

+

You should check your junk or spam folder for an email from Redbox Copilot.

-

If you're still having trouble then you can contact us using the details at the bottom of this page.

+

If you're still having trouble then you can contact us using the details at the bottom of this page.

- {# -

Email address not allowed

-

If you see the error message: "Currently you need a Civil Service email address to register", contact us using the details at the bottom of this page and include the name of your organisation.

+ {# +

Email address not allowed

+

If you see the error message: "Currently you need a Civil Service email address to register", contact us using the details at the bottom of this page and include the name of your organisation.

-

Can’t find my government department

-

If you can’t find the department you belong to when you are signing in for the first time then go to the bottom of the dropdown list and if you are:

-
    -
  • a civil servant then choose: Other - Civil Servant
    • -
  • a public servant then choose: Other - Public Servant
    • -
  • not sure then choose: Other
    • -
+

Can’t find my government department

+

If you can’t find the department you belong to when you are signing in for the first time then go to the bottom of the dropdown list and if you are:

+
    +
  • a civil servant then choose: Other - Civil Servant
    • +
  • a public servant then choose: Other - Public Servant
    • +
  • not sure then choose: Other
    • +
-

Can’t find my grade

-

If the grades shown do not fit with your role then either choose the one that is equivalent to your role or select ‘Other’.

- #} +

Can’t find my grade

+

If the grades shown do not fit with your role then either choose the one that is equivalent to your role or select ‘Other’.

+ #} -

Bug or site vulnerability

-

If you've found an issue or a vulnerability, contact us using the details at the bottom of this page including as much information as possible.

+

Bug or site vulnerability

+

If you've found an issue or a vulnerability, contact us using the details at the bottom of this page including as much information as possible.

-

Website not loading

-

If the website is not loading, please close the browser tab and try again later.

+

Website not loading

+

If the website is not loading, please close the browser tab and try again later.

-

Contact us

-

If you've read the information above but haven't been able to find a solution to your problem, please email us at {{contact_email}} including as much information as possible.

+

Contact us

+

If you've read the information above but haven't been able to find a solution to your problem, please email us at {{contact_email}} including as much information as possible.

-
-{% endblock %} +{% endblock %} \ No newline at end of file From d97347f05b5a3ff29f6def22a7c85eea37b2403c Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Wed, 10 Jul 2024 13:31:12 +0100 Subject: [PATCH 039/153] fix: minor modifications to bring into line with dev --- django_app/redbox_app/settings.py | 1 - redbox-core/redbox/models/settings.py | 1 + 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 4e753bf09..3606c5df7 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -243,7 +243,6 @@ ALLOWED_HOSTS = env_hosts else: LOCALHOST = socket.gethostbyname(socket.gethostname()) - ALLOWED_HOSTS = [LOCALHOST, *ENVIRONMENT.hosts,"redbox-trial.uktrade.digital","dbt-default-alb-1021417632.eu-west-2.elb.amazonaws.com"] ALLOWED_HOSTS = [ LOCALHOST, *env_hosts, diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index c64877007..a194536b1 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -6,6 +6,7 @@ from pydantic import BaseModel from pydantic_settings import BaseSettings, SettingsConfigDict + logging.basicConfig(level=logging.INFO) log = logging.getLogger() From 73690d2f20b77eebb3392170f411c62dd8693d99 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Wed, 10 Jul 2024 13:41:50 +0100 Subject: [PATCH 040/153] fix: address html error in base.html --- django_app/redbox_app/templates/base.html | 1 - 1 file changed, 1 deletion(-) diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index a76e763b2..8bbcf8ae4 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -57,7 +57,6 @@ {% set menu_items = [ {"text": "Documents", "href": url('documents')}, {"text": "Chats", "href": url('chats')}, - {"text": "Sign out", "href": url('signed-out')} ] %} {% else %} From 532086482663ad8ca8cad0896223d45bd4d2b322 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Wed, 10 Jul 2024 13:52:05 +0100 Subject: [PATCH 041/153] fix: fix feedback email address --- django_app/redbox_app/templates/base.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index 8bbcf8ae4..5acf1926a 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -114,7 +114,7 @@ - +
From 5e29bd1fe51005b1f0f582fc1c2c17367069d66b Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Thu, 11 Jul 2024 22:29:55 +0100 Subject: [PATCH 042/153] fix: remove register interest link --- django_app/redbox_app/templates/homepage.html | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/django_app/redbox_app/templates/homepage.html b/django_app/redbox_app/templates/homepage.html index 4cf3899be..8225df606 100644 --- a/django_app/redbox_app/templates/homepage.html +++ b/django_app/redbox_app/templates/homepage.html @@ -8,7 +8,7 @@
-

Use Artificial Intelligence (AI) to interact with Official level documents from your own document set.

+

Use Artificial Intelligence (AI) to interact with Official level documents from your own document set

You may summarise documents, ask questions related to one or more documents, and chat directly with the AI to assist you in your work. You can use up to, and including, Official documents.

{% if not request.user.is_authenticated %} @@ -17,7 +17,6 @@

Use Artificial Intelligence href=url('sign-in'), classes="govuk-button--secondary govuk-!-margin-bottom-0 rb-banner__button" ) }} - or register your interest to use Redbox {% endif %}

From 4542bae6a5b242c442cddedb4ae7aaa52333d58a Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Wed, 17 Jul 2024 10:38:15 +0100 Subject: [PATCH 043/153] feat: automate the existing RAG notebooks into one script (#3) Co-authored-by: Emily Lambert Co-authored-by: Natasha Boyse --- notebooks/__init__.py | 0 notebooks/evaluation/rag_experiments.py | 510 ++++++++++++++++++ .../evaluation/tests/test_rag_experiments.py | 212 ++++++++ poetry.lock | 48 +- pyproject.toml | 2 + 5 files changed, 770 insertions(+), 2 deletions(-) create mode 100644 notebooks/__init__.py create mode 100644 notebooks/evaluation/rag_experiments.py create mode 100644 notebooks/evaluation/tests/test_rag_experiments.py diff --git a/notebooks/__init__.py b/notebooks/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/notebooks/evaluation/rag_experiments.py b/notebooks/evaluation/rag_experiments.py new file mode 100644 index 000000000..d64f7fe4e --- /dev/null +++ b/notebooks/evaluation/rag_experiments.py @@ -0,0 +1,510 @@ +import json +import sys +from dataclasses import asdict +from operator import itemgetter +from pathlib import Path +from typing import Annotated + +import click +import jsonlines +import pandas as pd +import seaborn as sns +from deepeval import evaluate +from deepeval.dataset import EvaluationDataset +from deepeval.metrics import ( + AnswerRelevancyMetric, + ContextualPrecisionMetric, + ContextualRecallMetric, + ContextualRelevancyMetric, + FaithfulnessMetric, + HallucinationMetric, +) +from dotenv import find_dotenv, load_dotenv +from elasticsearch import Elasticsearch +from elasticsearch.helpers import bulk, scan +from fastapi import Depends +from langchain.globals import set_verbose +from langchain.schema import StrOutputParser +from langchain_community.chat_models import ChatLiteLLM +from langchain_core.retrievers import BaseRetriever +from langchain_core.runnables import ConfigurableField, Runnable, RunnableLambda, RunnablePassthrough +from langchain_core.vectorstores import VectorStoreRetriever +from scipy import stats +from tiktoken import Encoding + +# Temp hack - there is an issue with the importing of redbox-core +sys.path.append(str(Path(__file__).parents[2])) + +from core_api.src import dependencies +from core_api.src.dependencies import get_tokeniser +from core_api.src.format import format_documents +from core_api.src.retriever import ParameterisedElasticsearchRetriever +from core_api.src.runnables import make_chat_prompt_from_messages_runnable +from redbox.models import ChatRoute, Settings +from redbox.models.chain import ChainInput +from redbox.models.file import UUID +from redbox.models.settings import ElasticLocalSettings + +set_verbose(False) + + +_ = load_dotenv(find_dotenv()) + + +class GetExperimentResults: + """ + Class to handle experiment results retrieval and processing. + + Attributes: + data_version (str): Data version to be used in experiment + benchmark (bool): Benchmark stated or not + V_EMBEDDINGS (str): Embeddings version + V_ROOT (path): Path to where the root of experiment data lies + V_SYNTHETIC (path): Path to the synthetic data + V_RESULTS (path): Path to the results from data processing + MODEL (str): Embedding model + ES_CLIENT (func): Elastic search client from settings + INDEX (str): Index for the json lines file + experiment_name (str): Name of the experiment + """ + + def __init__(self): + self.data_version = None + self.benchmark = None + self.V_EMBEDDINGS = "" + self.V_ROOT = None + self.V_SYNTHETIC = None + self.V_RESULTS = None + self.MODEL = None + self.ES_CLIENT = None + self.INDEX = None + self.experiment_name = None + self.retrieval_system_prompt = None + self.retrieval_question_prompt = None + self.eval_results = None + self.ENV = Settings(minio_host="localhost", elastic=ElasticLocalSettings(host="localhost")) + self.LLM = ChatLiteLLM( + model="gpt-4o", + streaming=True, + ) + self.FILE_UUIDS = None + self.USER_UUID = UUID("aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa") + self.experiment_file_name = None + self.experiment_parameters = None + + def set_data_version(self, data_version): + """ + This function sets the necessary environment variables depending on your data version. + It assumes you have a versioned evaluation folder in your repository e.g. notebooks/evaluation/data/0.2.0 + This should be copied from the Redbox shared Google Drive. + This folder contains the raw files, QA sets, embeddings etc. + """ + self.data_version = data_version + root = Path(__file__).parents[2] + evaluation_dir = root / "notebooks/evaluation" + self.V_ROOT = evaluation_dir / f"data/{self.data_version}" + self.V_SYNTHETIC = self.V_ROOT / "synthetic" + self.V_RESULTS = self.V_ROOT / "results" + self.V_EMBEDDINGS = self.V_ROOT / "embeddings" + self.MODEL = self.ENV.embedding_model + self.INDEX = f"{self.data_version}-{self.MODEL}".lower() + self.ES_CLIENT = self.ENV.elasticsearch_client() + + def load_chunks_from_jsonl_to_index(self) -> set: + """ + This function takes the versioned embeddings (e.g. from notebooks/evaluation/data/0.2.0/embeddings) + and loads them to ElasticSearch. + """ + file_uuids = set() + file_path = self.V_EMBEDDINGS / f"{self.MODEL}.jsonl" + + with jsonlines.open(file_path, mode="r") as reader: + for chunk_raw in reader: + chunk = json.loads(chunk_raw) + self.ES_CLIENT.index( + index=self.INDEX, + id=chunk["uuid"], + body=chunk, + ) + + file_uuids.add(chunk["parent_file_uuid"]) + self.FILE_UUIDS = file_uuids + return file_uuids + + def clear_index(self) -> None: + """ + This function clears the indexes from ElasticSearch. + """ + if not self.ES_CLIENT.indices.exists(index=self.INDEX): + return None + + documents = list(scan(self.ES_CLIENT, index=self.INDEX, query={"query": {"match_all": {}}})) + bulk_data = [{"_op_type": "delete", "_index": doc["_index"], "_id": doc["_id"]} for doc in documents] + if bulk_data: + return bulk(self.ES_CLIENT, bulk_data, request_timeout=300) + return None + + def get_parameterised_retriever( + self, es: Annotated[Elasticsearch, Depends(dependencies.get_elasticsearch_client)] + ) -> BaseRetriever: + """ + Creates an Elasticsearch retriever runnable. + Runnable takes input of a dict keyed to question, file_uuids and user_uuid. + Runnable returns a list of Chunks. + """ + default_params = { + "size": self.ENV.ai.rag_k, + "num_candidates": self.ENV.ai.rag_num_candidates, + "match_boost": 1, + "knn_boost": 1, + "similarity_threshold": 0, + } + + return ParameterisedElasticsearchRetriever( + es_client=es, + index_name=self.INDEX, + params=default_params, + embedding_model=dependencies.get_embedding_model(self.ENV), + ).configurable_fields( + params=ConfigurableField( + id="params", + name="Retriever parameters", + description="A dictionary of parameters to use for the retriever.", + ) + ) + + def build_retrieval_chain( + self, + llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], + retriever: Annotated[VectorStoreRetriever, Depends(dependencies.get_parameterised_retriever)], + tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], + env: Annotated[Settings, Depends(dependencies.get_env)], + ) -> Runnable: + """ + This is an adaptation of core_api.src.build_chains.build_retrieval_chain. + Function experiements with different retrieval_system_prompt and retrieval_question_prompt. + """ + return ( + RunnablePassthrough.assign(documents=retriever) + | RunnablePassthrough.assign( + formatted_documents=(RunnablePassthrough() | itemgetter("documents") | format_documents) + ) + | { + "response": make_chat_prompt_from_messages_runnable( + system_prompt=str(self.retrieval_system_prompt), + question_prompt=str(self.retrieval_question_prompt), + input_token_budget=env.ai.context_window_size - env.llm_max_tokens, + tokeniser=tokeniser, + ) + | llm + | StrOutputParser(), + "source_documents": itemgetter("documents"), + "route_name": RunnableLambda(lambda _: ChatRoute.search.value), + } + ) + + def get_rag_results( + self, + question, + ) -> dict: + """ + Get Redbox response for a given question. + """ + retriever = self.get_parameterised_retriever(es=self.ES_CLIENT) + + chain = self.build_retrieval_chain(llm=self.LLM, retriever=retriever, tokeniser=get_tokeniser(), env=self.ENV) + + response = chain.invoke( + input=ChainInput( + question=question, + chat_history=[{"text": "", "role": "user"}], + file_uuids=list(self.FILE_UUIDS), + user_uuid=self.USER_UUID, + ).model_dump() + ) + + filtered_chunks = [] + + for chunk in response["source_documents"]: + dict_chunk = dict(chunk) + filtered_chunk = { + "page_content": dict_chunk["page_content"], + "page_number": dict_chunk["metadata"]["page_number"], + "parent_file_uuid": dict_chunk["metadata"]["parent_file_uuid"], + } + filtered_chunks.append(filtered_chunk) + + return {"output_text": response["response"], "source_documents": filtered_chunks} + + def write_rag_results(self) -> None: + """ + Format and write Redbox responses to evaluation dataset. + """ + + synthetic_df = pd.read_csv(f"{self.V_SYNTHETIC}/ragas_synthetic_data.csv") + inputs = synthetic_df["input"].tolist() + + df_function = synthetic_df.copy() + + actual_output = [] + retrieval_context = [] + + for question in inputs: + data = self.get_rag_results(question=question) + actual_output.append(data["output_text"]) + retrieval_context.append(data["source_documents"]) + + df_function["actual_output"] = actual_output + df_function["retrieval_context"] = retrieval_context + + df_function_clean = df_function.dropna() + df_function_clean.to_csv( + f"{self.V_SYNTHETIC}/{self.experiment_name}_complete_ragas_synthetic_data.csv", index=False + ) + + def do_evaluation(self) -> None: + """ + Calculate evaluation metrics for a synthetic RAGAS dataset, aggregate results + and write as CSV. + """ + + dataset = EvaluationDataset() + dataset.add_test_cases_from_csv_file( + file_path=f"{self.V_SYNTHETIC}/{self.experiment_name}_complete_ragas_synthetic_data.csv", + input_col_name="input", + actual_output_col_name="actual_output", + expected_output_col_name="expected_output", + context_col_name="context", + context_col_delimiter=";", + retrieval_context_col_name="retrieval_context", + retrieval_context_col_delimiter=";", + ) + + # Instantiate retrieval metrics + contextual_precision = ContextualPrecisionMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + contextual_recall = ContextualRecallMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + contextual_relevancy = ContextualRelevancyMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + # Instantiate generation metrics + answer_relevancy = AnswerRelevancyMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + faithfulness = FaithfulnessMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + hallucination = HallucinationMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + self.eval_results = evaluate( + test_cases=dataset, + metrics=[ + contextual_precision, + contextual_recall, + contextual_relevancy, + answer_relevancy, + faithfulness, + hallucination, + ], + ) + + return self.eval_results + + def write_evaluation_results(self) -> None: + """ + This function writes the evaluation results to a csv, identifiable by experiment_name. + """ + metric_type = { + "metric_name": [ + "Contextual Precision", + "Contextual Recall", + "Contextual Relevancy", + "Answer Relevancy", + "Faithfulness", + "Hallucination", + ], + "metric_type": ["retrieval", "retrieval", "retrieval", "generation", "generation", "generation"], + } + + evaluation = ( + pd.DataFrame.from_records(asdict(result) for result in self.eval_results) + .explode("metrics_metadata") + .reset_index(drop=True) + .assign( + metric_name=lambda df: df.metrics_metadata.apply(getattr, args=["metric"]), + score=lambda df: df.metrics_metadata.apply(getattr, args=["score"]), + reason=lambda df: df.metrics_metadata.apply(getattr, args=["reason"]), + ) + .merge(pd.DataFrame(metric_type), on="metric_name") + .drop(columns=["success", "metrics_metadata"]) + ) + + evaluation.to_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv", index=False) + evaluation.head() + + def load_experiment_param_data( + self, + experiment_file_name=None, + benchmark=None, + ): + """ + This function loads an csv of experiments to try unless benchmark is specified; + in this case it will take the core_api retrieval_system_prompt and retrieval_question_prompt. + """ + + if benchmark: + self.benchmark = benchmark + self.experiment_file_name = "benchmark" + benchmark_df = pd.DataFrame() + benchmark_df["experiment_name"] = ["benchmark"] + benchmark_df["retrieval_system_prompt"] = [self.ENV.ai.retrieval_system_prompt] + benchmark_df["retrieval_question_prompt"] = [self.ENV.ai.retrieval_question_prompt] + self.experiment_parameters = benchmark_df + else: + self.experiment_file_name = experiment_file_name + self.experiment_parameters = pd.read_csv( + f"notebooks/evaluation/data/experiment_parameters/{self.experiment_file_name}.csv" + ) + + def loop_through_experiements(self): + """ + This function calls the other functions to run and write the different experiments. + """ + for _index, row in self.experiment_parameters.iterrows(): + self.experiment_name = row["experiment_name"] + self.retrieval_system_prompt = (row["retrieval_system_prompt"],) + self.retrieval_question_prompt = row["retrieval_question_prompt"] + + self.write_rag_results() + self.do_evaluation() + self.write_evaluation_results() + + def empirical_ci(self, df: pd.DataFrame) -> pd.DataFrame: + """ + Calculate confidence intervals for aggregated metrics. + """ + + df_grouped = ( + df.groupby(["experiment_name", "metric_name"])["score"] + .agg(["mean", "sem", "min", "max", "count"]) + .reset_index() + ) + + ci = stats.t.interval( + confidence=0.95, df=df_grouped["count"] - 1, loc=df_grouped["mean"], scale=df_grouped["sem"] + ) + + df_grouped["ci_low"] = ci[0] + df_grouped["ci_high"] = ci[1] + + return df_grouped + + def create_visualisation_plus_grouped_results(self): + """ + This function uses the stored experiment result to save the aggregated metics using empirical_ci(). + It also saves a barplot (here confidence intervals are calculated by bootstrapping). + """ + experiments = [] + experiment_names = self.experiment_parameters["experiment_name"] + for experiment_name in experiment_names: + experiment = pd.read_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv") + experiment["experiment_name"] = experiment_name + experiments.append(experiment) + + experiments_df = pd.concat(experiments) + + barplot = sns.barplot(experiments_df, x="score", y="metric_name", hue="experiment_name", errorbar=("ci", 95)) + fig = barplot.get_figure() + fig.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_boxplot.png", bbox_inches="tight") + + experiment_metrics = self.empirical_ci(experiments_df) + experiment_metrics.to_csv(f"{self.V_RESULTS}/{self.experiment_file_name}_eval_results_full.csv") + + +class Mutex(click.Option): + def __init__(self, *args, **kwargs): + self.not_required_if = kwargs.pop("not_required_if") + self.required_if_not_set = kwargs.pop("required_if_not_set", True) + + if not self.not_required_if: + msg = "'not_required_if' parameter required" + raise ValueError(msg) + + kwargs["help"] = ( + kwargs.get("help", "") + " Option is mutually exclusive with " + ", ".join(self.not_required_if) + "." + ).strip() + super().__init__(*args, **kwargs) + + def handle_parse_result(self, ctx, opts, args): + current_opt = self.name in opts + for mutex_opt in self.not_required_if: + if mutex_opt in opts: + if current_opt: + msg = f"Illegal usage: '{self.name}' is mutually exclusive with {mutex_opt}." + raise click.UsageError(msg) + self.prompt = None + + if not current_opt and self.required_if_not_set and not any(opt in opts for opt in self.not_required_if): + msg = f"Illegal usage: Either '{self.name}' or one of {', '.join(self.not_required_if)} must be provided." + raise click.UsageError(msg) + return super().handle_parse_result(ctx, opts, args) + + +@click.command() +@click.option( + "--data_version", + required=True, + type=str, + help="Specify the data version you want to use.", +) +@click.option( + "--experiment_file_name", + cls=Mutex, + not_required_if=["benchmark"], + required_if_not_set=True, + type=str, + help="Specify the experiment data file name you want to use. (CSV)", +) +@click.option( + "--benchmark", + "-b", + cls=Mutex, + not_required_if=["experiment_file_name"], + required_if_not_set=True, + is_flag=True, + help="Use the baseline rag function to get benchmarking results.", +) +def main(data_version, experiment_file_name, benchmark): + get_experiment_results = GetExperimentResults() + get_experiment_results.set_data_version(data_version) + get_experiment_results.load_experiment_param_data(experiment_file_name=experiment_file_name, benchmark=benchmark) + get_experiment_results.load_chunks_from_jsonl_to_index() + get_experiment_results.loop_through_experiements() + get_experiment_results.create_visualisation_plus_grouped_results() + get_experiment_results.clear_index() + + +if __name__ == "__main__": + main() diff --git a/notebooks/evaluation/tests/test_rag_experiments.py b/notebooks/evaluation/tests/test_rag_experiments.py new file mode 100644 index 000000000..9a6034994 --- /dev/null +++ b/notebooks/evaluation/tests/test_rag_experiments.py @@ -0,0 +1,212 @@ +import json +import sys +from pathlib import Path +from unittest import mock + +import pytest + +# Hack - wasn't picking up imports properly +sys.path.append(str(Path(__file__).parents[2])) +import tempfile +import unittest +from pathlib import Path +from unittest.mock import MagicMock, patch + +import pandas as pd +from elasticsearch import Elasticsearch +from elasticsearch.helpers import scan +from evaluation.rag_experiments import GetExperimentResults + +from redbox.models import Settings + + +@pytest.fixture() +def env(): + return Settings() + + +@pytest.fixture() +def es_client(): + with ( + mock.patch("elasticsearch.Elasticsearch.search") as mocked_search, + mock.patch("elasticsearch.client.IndicesClient.create") as mocked_index_create, + mock.patch("elasticsearch.Elasticsearch.index") as mocked_index, + mock.patch("elasticsearch.helpers.scan") as mocked_scan, + mock.patch("elasticsearch.Elasticsearch.delete_by_query") as mocked_delete_by_query, + ): + mocked_search.return_value = {"hits": {"hits": [{"_id": "1", "_source": {"field": "value"}}]}} + mocked_index_create.return_value = {"acknowledged": True} + mocked_index.return_value = {"result": "created"} + mocked_delete_by_query.return_value = {"deleted": 1} + mocked_scan.return_value = iter( + [{"_id": "1", "_source": {"field": "value"}}, {"_id": "2", "_source": {"field": "value"}}] + ) + + client = Elasticsearch(hosts=["http://localhost:9200"]) + client.indices = mock.Mock() + client.indices.create = mocked_index_create + client.search = mocked_search + client.index = mocked_index + client.delete_by_query = mocked_delete_by_query + + yield client, mocked_search, mocked_index_create, mocked_index, mocked_scan, mocked_delete_by_query + + +@pytest.mark.usefixtures("es_client") +class TestGetExperimentResults(unittest.TestCase): + @pytest.fixture(autouse=True) + def inject_fixtures(self, es_client): + ( + self.es_client, + self.mocked_search, + self.mocked_index_create, + self.mocked_index, + self.mocked_scan, + self.mocked_delete_by_query, + ) = es_client + + return es_client + + @classmethod + def setUpClass(cls): + super().setUpClass() + + def setUp(self): + self.get_experiment_results = GetExperimentResults() + self.get_experiment_results.set_data_version("0.2.3") + + self.get_experiment_results.ENV = MagicMock() + + self.get_experiment_results.ES_CLIENT = self.es_client + + self.temp_dir = tempfile.TemporaryDirectory() + self.get_experiment_results.V_RESULTS = self.temp_dir.name + + self.mock_synthetic_path = "/mock/synthetic" + self.mock_complete_ragas_file = "mock_complete_ragas_synthetic_data.csv" + self.get_experiment_results.synthetic_data_dir = self.mock_synthetic_path + + def tearDown(self): + self.temp_dir.cleanup() + + @patch("jsonlines.open") + def test_load_chunks_from_jsonl_to_index(self, mock_jsonlines_open): + mock_jsonlines_open.return_value.__enter__.return_value = iter( + [json.dumps({"uuid": "1234", "parent_file_uuid": "abcd", "data": "test data"})] + ) + + file_uuids = self.get_experiment_results.load_chunks_from_jsonl_to_index() + assert "abcd" in file_uuids + self.get_experiment_results.ES_CLIENT.index.assert_called_once() + + @patch("jsonlines.open") + def test_load_chunks_from_empty_jsonl(self, mock_jsonlines_open): + mock_jsonlines_open.return_value.__enter__.return_value = iter([]) + + result = self.get_experiment_results.load_chunks_from_jsonl_to_index() + assert result == set() + + def test_load_experiment_param_data(self): + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame( + { + "experiment_name": ["test_experiment"], + "retrieval_system_prompt": ["test_prompt"], + "retrieval_question_prompt": ["test_question_prompt"], + } + ) + + self.get_experiment_results.load_experiment_param_data("test_file") + assert self.get_experiment_results.experiment_parameters["experiment_name"][0] == "test_experiment" + + @patch("evaluation.rag_experiments.GetExperimentResults.get_rag_results") + @patch("pandas.DataFrame.to_csv") + def test_write_rag_results(self, mock_to_csv, mock_get_rag_results): + mock_get_rag_results.return_value = { + "output_text": "test_output", + "source_documents": [{"page_content": "test_content"}], + } + + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame({"input": ["test_input"]}) + self.get_experiment_results.write_rag_results() + mock_to_csv.assert_called_once() + + @patch("evaluation.rag_experiments.pd.read_csv") + @patch("evaluation.rag_experiments.evaluate") + def test_do_evaluation(self, mock_evaluate, mock_read_csv): + # Setting up the mock return value for read_csv + mock_data = pd.DataFrame({"column1": [1, 2, 3], "column2": ["a", "b", "c"]}) + mock_read_csv.return_value = mock_data + + mock_eval_result = pd.DataFrame( + { + "input": ["input1", "input2", "input3"], + "actual_output": ["output1", "output2", "output3"], + "expected_output": ["expected1", "expected2", "expected3"], + "context": [["context1"], ["context2"], ["context3"]], + "retrieval_context": [["retrieval1"], ["retrieval2"], ["retrieval3"]], + "additional_metadata": [None, None, None], + "comments": [None, None, None], + } + ) + mock_evaluate.return_value = mock_eval_result + + result = self.get_experiment_results.do_evaluation() + + assert result is not None + assert isinstance(result, pd.DataFrame) + assert result.shape == (3, 7) + + @patch("seaborn.barplot") + @patch("pandas.concat") + @patch("pandas.read_csv") + def test_create_visualisation_plus_grouped_results(self, mock_read_csv, mock_concat, mock_barplot): # noqa: ARG002 + mock_read_csv.return_value = pd.DataFrame( + {"experiment_name": ["test_experiment"], "score": [0.5], "metric_name": ["test_metric"]} + ) + mock_concat.return_value = mock_read_csv.return_value + + self.get_experiment_results.experiment_parameters = {"experiment_name": ["test_experiment"]} + self.get_experiment_results.create_visualisation_plus_grouped_results() + + @patch("pandas.read_csv") + def test_create_visualisation_empty_data(self, mock_read_csv): + mock_read_csv.return_value = pd.DataFrame() + self.get_experiment_results.experiment_parameters = {"experiment_name": []} + + with pytest.raises(ValueError): # noqa: PT011 + self.get_experiment_results.create_visualisation_plus_grouped_results() + + @patch("jsonlines.open") + def test_clear_index(self, mock_jsonlines_open): + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame( + { + "experiment_name": ["test_experiment"], + "retrieval_system_prompt": ["test_prompt"], + "retrieval_question_prompt": ["test_question_prompt"], + } + ) + + self.get_experiment_results.load_experiment_param_data("test_file") + + mock_jsonlines_open.return_value.__enter__.return_value = iter( + [json.dumps({"uuid": "1234", "parent_file_uuid": "abcd", "data": "test data"})] + ) + + self.get_experiment_results.load_chunks_from_jsonl_to_index() + + self.get_experiment_results.ES_CLIENT.index.assert_called_once() + + self.get_experiment_results.clear_index() + documents_after_clear = list( + scan(self.get_experiment_results.ES_CLIENT, query={"query": {"match_all": {}}}) + ) + assert len(documents_after_clear) == 0 + + self.get_experiment_results.clear_index() + + +if __name__ == "__main__": + unittest.main() diff --git a/poetry.lock b/poetry.lock index d13ec4a80..3804dab8d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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"pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"] +stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"] + [[package]] name = "semantic-router" version = "0.0.48" @@ -10169,4 +10213,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "0f6bc0402cbde8567d6cdd705acee1d3af4bdb2e7e713362877266e89b6533ce" +content-hash = "0d54ca3b9faad13a7d7c77be4047b29aa8bf07d57acb3a6166e9cdab2cb60421" diff --git a/pyproject.toml b/pyproject.toml index c5cc872b1..f7afa4d37 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,6 +28,8 @@ faststream = {extras = ["redis"], version = "<0.5.0"} langchain-elasticsearch = "^0.2.0" +seaborn = "^0.13.2" +mock = "^5.1.0" [tool.poetry.group.api.dependencies] fastapi = "^0.111.0" uvicorn = "^0.30.1" From 134ecc0168a467a17d9423416eee779586498b38 Mon Sep 17 00:00:00 2001 From: Euan Soutter <168103747+esoutter@users.noreply.github.com> Date: Fri, 19 Jul 2024 14:27:23 +0100 Subject: [PATCH 044/153] feat: exploration - analysis of chat history and streamlit dashboard * wip: analysis of chat history * ensure user frequent is only for users and not all responses and also add tables for all analyses * removing unused imports/packages * function to find latest csv chat history file * basic streamlit dashboard * add route analysis and topic modelling * add route transition method and comments --------- Co-authored-by: Natasha Boyse --- .gitignore | 4 + .../evaluation/analysis_of_chat_history.py | 296 ++++++++++++++++++ notebooks/evaluation/app.py | 43 +++ poetry.lock | 80 ++++- pyproject.toml | 1 + 5 files changed, 423 insertions(+), 1 deletion(-) create mode 100644 notebooks/evaluation/analysis_of_chat_history.py create mode 100644 notebooks/evaluation/app.py diff --git a/.gitignore b/.gitignore index a9cfc871f..42b64d9e6 100644 --- a/.gitignore +++ b/.gitignore @@ -213,3 +213,7 @@ django_app/tests/staticfiles # pre commit files .pre-commit-trivy-cache + +# chat history files and personal data +*chat_history_* +notebooks/evaluation/results \ No newline at end of file diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py new file mode 100644 index 000000000..a1d3e5782 --- /dev/null +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -0,0 +1,296 @@ +import glob +import inspect +import os +import re +import textwrap +from collections import Counter +from pathlib import Path + +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import seaborn as sns +import numpy as np +from regex import D +from wordcloud import STOPWORDS, WordCloud +from bertopic import BERTopic + +class ChatHistoryAnalysis(): + def __init__(self) -> None: + root = Path(__file__).parents[2] + self.evaluation_dir = root / "notebooks/evaluation" + results_dir = f'{self.evaluation_dir}/results' + self.visualisation_dir = f'{results_dir}/visualisations/' + self.table_dir = f'{results_dir}/table/' + os.makedirs(results_dir, exist_ok=True) + os.makedirs(self.visualisation_dir, exist_ok=True) + os.makedirs(self.table_dir, exist_ok=True) + + # IMPORTANT - For this to work you must save your chat history CSV dump in notebooks/evaluation/data/chat_histories + file_path = self.latest_chat_history_file() + self.chat_logs = pd.read_csv(file_path) + + # Select specific columns and converting to readable timestamp + self.chat_logs = self.chat_logs[['created_at', 'users', 'chat_history', 'text', 'role', 'id']] + self.chat_logs['created_at'] = pd.to_datetime(self.chat_logs['created_at']) + + self.ai_responses = self.chat_logs[self.chat_logs['role'] == 'ai'] + self.user_responses = self.chat_logs[self.chat_logs['role'] == 'user'] + + self.chat_logs['tokens'] = self.chat_logs['text'].apply(self.preprocess_text) + self.ai_responses['tokens'] = self.ai_responses['text'].apply(self.preprocess_text) + self.user_responses['tokens'] = self.user_responses['text'].apply(self.preprocess_text) + + self.user_responses['route'] = self.user_responses['text'].apply(lambda row: 'summarise' if row.startswith('@summarise') else ('chat' if row.startswith('@chat') else 'no_route')) + + self.topic_model = None + self.topic_model_over_time = None + + self.figsize = (10, 5) + mpl.rcParams.update({'font.size': 10}) + mpl.rcParams.update({'font.family': 'Arial'}) + + def latest_chat_history_file(self): + chat_history_folder = glob.glob(f'{self.evaluation_dir}/data/chat_histories/*') + latest_file = max(chat_history_folder, key=os.path.getctime) + return latest_file + + def preprocess_text(self, text): + tokens = text.split() + tokens = [word.lower() for word in tokens if word.isalpha()] + return tokens + + # 1) Who uses Redbox the most? + def user_frequency_analysis(self): + user_counts = self.chat_logs['users'].value_counts() + + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in user_counts.index] + wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + + # Table + table_data = {'Name': user_name, 'Email': user_counts.index, 'Number of times used': user_counts.values} + table_dataframe = pd.DataFrame(data=table_data, index=user_name) + table_dataframe.to_csv(f'{self.table_dir}top_users.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=wrapped_user_name, y=user_counts.values, palette='viridis') + + plt.xticks(ha='right', size=9) + plt.title('Unique Users by Total Number of Messages') + plt.xlabel('Users') + plt.ylabel('Total No. of Messages') + top_users_path = os.path.join(self.visualisation_dir, 'top_users.png') + plt.savefig(top_users_path) + + # 2) Redbox traffic analysis + def redbox_traffic_analysis(self): + # think about GA integration? + self.chat_logs['date'] = self.chat_logs['created_at'].dt.date + date_counts = self.chat_logs['date'].value_counts().sort_index() + + # Table + table_data = {'Date': date_counts.index, 'Usage': date_counts.values} + table_dataframe = pd.DataFrame(data=table_data) + table_dataframe.to_csv(f'{self.table_dir}usage_of_redbox_ai_over_time.csv', index=False) + + # Line graph + plt.figure(figsize=self.figsize) + date_counts.plot(kind='line') + plt.title('Usage of Redbox AI Over Time') + plt.xlabel('Date') + plt.ylabel('Number of Conversations') + conversation_frequency_path = os.path.join(self.visualisation_dir, 'usage_of_redbox_ai_over_time.png') + plt.savefig(conversation_frequency_path) + + # 3) Which words are used the most frequently by USERS? + def user_word_frequency_analysis(self): + all_tokens = [token for tokens in self.user_responses['tokens'] for token in tokens] + + # far too many stopwords and wordcloud has a lovely constant attached to resolve this + stopwords_removed_from_all_tokens = [word for word in all_tokens if word not in STOPWORDS] + + word_freq = Counter(stopwords_removed_from_all_tokens) + + most_common_words = word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words) + + # Table + table_data = {'Word': list(word_freq.keys()), 'Frequency': list(word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) + table_dataframe.to_csv(f'{self.table_dir}user_most_frequent_words_table.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette='viridis') + plt.title('Top 20 Most Frequent Words') + plt.xlabel('Frequency') + plt.ylabel('Words') + barplot_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words_barplot.png') + plt.savefig(barplot_path) + + # Wordcloud - TODO - assess value + wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(word_freq) + plt.figure(figsize=self.figsize) + plt.imshow(wordcloud, interpolation='bilinear') + plt.axis('off') + plt.title('Most Frequent Words') + wordcloud_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words.png') + plt.savefig(wordcloud_path) + + # 4) Which words are used the most frequently by AI? + def ai_word_frequency_analysis(self): + ai_word_freq = Counter([token for tokens in self.ai_responses['tokens'] for token in tokens if token not in STOPWORDS]) + most_common_words = ai_word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words) + + # Table + table_data = {'Word': list(ai_word_freq.keys()), 'Frequency': list(ai_word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) + table_dataframe.to_csv(f'{self.table_dir}ai_most_frequent_words_table.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette='viridis') + plt.title('Top 20 Most Frequent Words') + plt.xlabel('Frequency') + plt.ylabel('Words') + barplot_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words_barplot.png') + plt.savefig(barplot_path) + + # Wordcloud - TODO - assess value + ai_wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(ai_word_freq) + plt.figure(figsize=self.figsize) + plt.imshow(ai_wordcloud, interpolation='bilinear') + plt.axis('off') + plt.title('Most Frequent Words in AI Responses') + ai_wordcloud_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words.png') + plt.savefig(ai_wordcloud_path) + + # 5) Is there a clear pattern behind AI responses? + def ai_response_pattern_analysis(self): + def clean_text(text): # was including asterisks giving useless info to the graph I'm still not entirely convinced on the benefit of this analysis + return re.sub('[!@#$*]', '', text).strip() + + self.ai_responses['clean_text'] = self.ai_responses['text'].apply(clean_text) + ai_response_patterns = self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts().head(10) + + # Table + words, counts = zip(*self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts()) + table_data = {'Word': words, 'Frequency': counts} + table_dataframe = pd.DataFrame(data=table_data) + table_dataframe.to_csv(f'{self.table_dir}common_ai_patterns.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=ai_response_patterns.values, y=ai_response_patterns.index, palette='magma') + plt.title('Common Patterns in AI Responses') + plt.xlabel('Frequency') + plt.ylabel('Patterns') + ai_patterns_path = os.path.join(self.visualisation_dir, 'common_ai_patterns.png') + plt.savefig(ai_patterns_path) + + # What routes are people using? + def route_analysis(self): + + df = self.user_responses.copy() + + # # Some users repeat the same message several times (drop?) + # df = df.drop_duplicates(['text']) + + # User names + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.users] + wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + df['user_name'] = wrapped_user_name + + # Groupby routes + df_grouped = df.groupby(['user_name'])['route'].value_counts().unstack() + + # Plot + plt.figure(figsize=self.figsize) + df_grouped.plot(kind='bar', + color={"chat": "teal", + "no_route": "yellowgreen", + "summarise": "gold"}, + figsize=self.figsize) + plt.xticks(rotation=0) + plt.xlabel('Users') + plt.ylabel('Number of routes taken') + plt.title('Routes taken per user') + routes_count_path = os.path.join(self.visualisation_dir, 'routes_per_user.png') + plt.savefig(routes_count_path) + + def get_route_transitions(self, df): + + # TODO Check this works with the groupby ID and time order of events + df['next_route'] = df['route'].shift(1) + + df['transition'] = df.apply(lambda row: f"{row['route']} to {row['next_route']}" + if pd.notna(row['next_route']) else None, axis=1) + + return df + + # In what way are users switching between routes? + def route_transitions(self): + + # Get route transitions and counts per user session (is 'id' appropriate?) + df_transitions = self.user_responses.groupby('id').apply(self.get_route_transitions).reset_index(drop=True) + + transition_counts = df_transitions['transition'].value_counts().reset_index() + + # Plot + sns.barplot(x=transition_counts['transition'], y=transition_counts['count'], + palette='viridis') + plt.xticks(rotation=45, ha='right') + plt.title('Number of different route transitions') + plt.xlabel('Route transition') + plt.ylabel('Number of route transitions') + + # Are users asking about common topics? + def get_topics(self): + + STOPWORDS.add('@chat') + STOPWORDS.add('@summarise') + + # Remove stopwords and fit (simple) topic model + text_without_stopwords = self.user_responses['text'].apply(lambda row: ' '.join([word for word in row.split() if word not in (STOPWORDS)])) + created_at = self.user_responses['created_at'].to_list() + + topic_model = BERTopic(verbose=True) + topic_model.fit_transform(text_without_stopwords) + topics_over_time = topic_model.topics_over_time(text_without_stopwords, created_at) + + self.topic_model = topic_model + self.topics_over_time = topics_over_time + + def visualise_topics(self): + # Plot + return self.topic_model.visualize_topics(width=800, height=500) + + def visualise_hierarchy(self): + # Plot + return self.topic_model.visualize_hierarchy(width=800, height=400) + + def visualise_barchart(self): + # Plot + return self.topic_model.visualize_barchart(width=800, height=400) + + def visualise_topics_over_time(self): + # Plot + return self.topic_model.visualize_topics_over_time(self.topics_over_time, + top_n_topics = 5, + normalize_frequency=True) + +def main(): + chat_history_analysis = ChatHistoryAnalysis() + attrs = (getattr(chat_history_analysis, name) for name in dir(chat_history_analysis)) + methods = filter(inspect.ismethod, attrs) + for method in methods: + try: + method() + except TypeError: + pass + + +if __name__ == "__main__": + main() diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py new file mode 100644 index 000000000..44f36c415 --- /dev/null +++ b/notebooks/evaluation/app.py @@ -0,0 +1,43 @@ +from analysis_of_chat_history import ChatHistoryAnalysis +import streamlit as st + +st.set_page_config(page_title = 'Redbox Chat Analysis', layout = 'centered') +st.set_option('deprecation.showPyplotGlobalUse', False) +st.title('Redbox Chat History Dashboard') + +user_freq_tab, traffic_tab, word_freq_tab, ai_word_freq_tab, route_tab, transitions_tab, topic_tab = st.tabs(['User frequency', + 'Redbox traffic', + 'Word frequency', + 'AI word frequency', + 'Route analysis', + 'Route transitions', + 'Topic modelling']) + +cha = ChatHistoryAnalysis() + +with user_freq_tab: + st.pyplot(cha.user_frequency_analysis()) + +with traffic_tab: + st.pyplot(cha.redbox_traffic_analysis()) + +with word_freq_tab: + st.pyplot(cha.user_word_frequency_analysis()) + +with ai_word_freq_tab: + st.pyplot(cha.ai_word_frequency_analysis()) + +with route_tab: + st.pyplot(cha.route_analysis()) + +with transitions_tab: + st.pyplot(cha.route_transitions()) + +with topic_tab: + with st.spinner('Fitting topic model...'): + cha.get_topics() + + st.plotly_chart(cha.visualise_topics()) + st.plotly_chart(cha.visualise_topics_over_time()) + st.plotly_chart(cha.visualise_barchart()) + st.plotly_chart(cha.visualise_hierarchy()) diff --git a/poetry.lock b/poetry.lock index 3804dab8d..ed8bceda4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -9858,6 +9858,84 @@ files = [ {file = "widgetsnbextension-4.0.11.tar.gz", hash = "sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474"}, ] +[[package]] +name = "wordcloud" +version = "1.9.3" +description = "A little word 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"metadata": {}, + "source": [ + "# Chat History Inital EDA (17/07/24)\n", + "\n", + "**Intro** \n", + "\n", + "* This notebook is exploring the chat history logs for Redbox pulled on 17th July. \n", + "\n", + "* Populated columns of this data are 'id', 'created_at', 'modified_at', 'name', 'users', 'id.1', 'created_at.1', 'modified_at.1', 'chat_history', 'text', 'role'.\n", + "\n", + "* Aim of this work is to discover how users are using Redbox and find any other features that may be important to log.\n", + "\n", + "* **IMPORTANT** - For this to work you must save your chathistory.csv dump in notebooks/evaluation/data/chat_histories\n", + "\n", + "**Next Steps** \n", + "\n", + "* Want to get the actual Redbox route so we don't have to rely on inferred data\n", + "\n", + "* *Real* patterns hard to find due to limited data\n", + "\n", + "* Could be interested in how different LLM change user behaviour - would need to store this\n", + "\n", + "* Limitations right now are that we can't really tell whether a chat is successful (e.g. User gets intended output from Redbox). Creating a UI and measuring this would mean we could identify differences in user behaviour that lead to useful/unuseful outputs.\n", + "\n", + "* For RAG use, I'd be interested to see what documents work well or not. Maybe we don't want to store the whole document but maybe the size, type etc. Pairing this with a success variable could lead to interesting insights. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df = pd.read_csv('evaluation/data/chat_histories/chathistory.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "chathistory_df['role'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Ensuring date columns are stored as datetimes\n", + "date_cols = ['created_at', 'modified_at','created_at.1', 'modified_at.1']\n", + "for i in date_cols:\n", + " chathistory_df[i] = pd.to_datetime(chathistory_df[i])\n", + "chathistory_df.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Top users (inc. over time)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Pulling out user input rows only\n", + "# Identifying top users of redbox\n", + "user_inputs_df = chathistory_df[(chathistory_df['role']=='user')]\n", + "user_inputs_df['users'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# How has total redbox usage changed overtime\n", + "user_inputs_df.groupby(chathistory_df['modified_at'].rename('Days').dt.day).size().plot(ylabel='No. of prompts', title='Total Redbox Usage Over Time')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This shows a general increase in usage of redbox. \n", + "\n", + "Now, interested in increase/decrease by user." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import seaborn as sns\n", + "\n", + "# Plotting how each users usage has changed over time\n", + "pivot_user_time = user_inputs_df[['modified_at', 'users']].groupby(pd.Grouper(key='modified_at', axis=0, freq='2D', sort=True)).value_counts().reset_index(name='count').pivot(index='modified_at', columns='users', values='count')\n", + "fig = sns.lineplot(data=pivot_user_time, markers=True)\n", + "fig.set_xlabel('Date')\n", + "fig.set_ylabel('No. of Prompts')\n", + "fig.tick_params(axis='x', rotation=90)\n", + "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1), title='Users')\n", + "fig.set_title('Line graph to show number of prompts for each user over time')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Maybe not the best plot to use due to null entries, however, I think it shows trends in users usage and shows those users which have only used Redbox once.\n", + "\n", + "Next, interested to see whether users that aren't using it as frequently are using certain routes of Redbox to those who are, for example. \n", + "\n", + "Routes column is not currently populated so I have inferred this by identifying whether the user has used @chat, @summarise or otherwise." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Popularity of User Routes (inc. process map)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating the inferred routes from the text column \n", + "def routes(row):\n", + " if '@chat' in row['text']:\n", + " val = 'chat'\n", + " elif '@summarise' in row['text']:\n", + " val = 'summarise'\n", + " else:\n", + " val = 'rag'\n", + " return val\n", + "\n", + "user_inputs_df['infer_route'] = user_inputs_df.apply(routes, axis=1)\n", + "user_inputs_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating df of each users most popular prompt route\n", + "popular_routes = user_inputs_df[['users', 'infer_route']].value_counts().reset_index(name='count')\n", + "popular_routes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# sns.barplot(popular_routes['infer_route'].value_counts().reset_index(name='count'), x='infer_route', y='count', hue='infer_route', title='Most popular Routes')\n", + "popular_routes[['infer_route', 'count']].groupby('infer_route').sum().reset_index()\n", + "fig = sns.barplot(popular_routes[['infer_route', 'count']].groupby('infer_route').sum().reset_index(), x='infer_route', y='count', hue='infer_route')\n", + "fig.set_xlabel('Inferred Route')\n", + "fig.set_title('Bar plot to show most popular routes')\n", + "fig.set_ylabel('No. of Prompts')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = sns.barplot(data=popular_routes, x='users', y='count', hue='infer_route')\n", + "fig.tick_params(axis='x', rotation=90)\n", + "fig.set_xlabel('Users')\n", + "fig.set_title('Bar plot to show most popular routes by user')\n", + "fig.set_ylabel('No. of Prompts')\n", + "fig.legend(title='Inferred Route')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# See if theres a change in popular routes over time\n", + "route_over_time = user_inputs_df[['modified_at', 'infer_route']].groupby(pd.Grouper(key='modified_at', axis=0, freq='2D', sort=True)).value_counts().reset_index(name='count')\n", + "route_over_time" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = sns.lineplot(data=route_over_time, markers=True, x='modified_at', y='count', hue='infer_route')\n", + "fig.set_ylabel('No. of Prompts')\n", + "fig.set_xlabel('Date')\n", + "fig.tick_params(axis='x', rotation=90)\n", + "fig.legend(title='Inferred Route')\n", + "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1))\n", + "fig.set_title('Line graph to show number of inputs for each prompt type over time')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Shows that over the last couple of days, the chat function has overtaken summarise in terms of popularity. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Process Map \n", + "\n", + "Interested to see if theres any distinctive patterns between users, whether that effects their use of Redbox. It would be interesting to compare successful and unsuccessful routes if we measure this somehow so we can provide users with better training." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from pm4py.objects.conversion.log import converter as log_conversion_factory\n", + "from pm4py.algo.discovery.heuristics import algorithm as heuristics_miner\n", + "from pm4py.visualization.heuristics_net import visualizer as hn_visualizer\n", + "\n", + "def create_hnet_vis(event_df):\n", + "\n", + " # Convert DataFrame to pm4py event log format\n", + " event_df.columns = ['case:concept:name', 'time:timestamp', 'concept:name']\n", + " log = log_conversion_factory.apply(event_df)\n", + "\n", + " # Discover Heuristic Net\n", + " heu_net = heuristics_miner.apply_heu(log)\n", + "\n", + " # Visualize Heuristic Net\n", + " gviz = hn_visualizer.apply(heu_net)\n", + " hn_visualizer.view(gviz)\n", + "\n", + "\n", + "route_map_df = user_inputs_df[['id', 'modified_at', 'infer_route']]\n", + "create_hnet_vis(route_map_df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating a process map for each user.\n", + "for i in user_inputs_df['users'].unique():\n", + " user_input_df_filter = user_inputs_df[user_inputs_df['users']==i]\n", + " route_map_df = user_input_df_filter[['id', 'modified_at', 'infer_route']]\n", + " print(i)\n", + " create_hnet_vis(route_map_df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prompt detail effects\n", + "\n", + "I'm assuming that each chat ends 'successfully' (quite flawed) but want to see whether the level of detail (currently measuring this by word length but could use more advanced metrics) effects how many prompts a user needs to try before they are done with Redbox. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating column for number of words\n", + "user_inputs_df['no_input_words'] = user_inputs_df[\"text\"].apply(lambda n: len(n.split()))\n", + "user_inputs_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = sns.displot(user_inputs_df.no_input_words)\n", + "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Seems to be an anomaly over 1400 words, removing this to see distribution of rest." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sns.histplot(user_inputs_df[user_inputs_df['no_input_words']<700]['no_input_words'])\n", + "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# How does this vary between users\n", + "fig = sns.displot(\n", + " user_inputs_df[user_inputs_df['no_input_words']<700],\n", + " x=\"no_input_words\", \n", + " col=\"users\", col_wrap=4, height=4,\n", + ")\n", + "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# How does this vary between users and routes\n", + "fig = sns.displot(\n", + " user_inputs_df[user_inputs_df['no_input_words']<700],\n", + " x=\"no_input_words\", hue='infer_route',\n", + " col=\"users\", col_wrap=4, height=4,\n", + ")\n", + "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "no_inputs_df = user_inputs_df[[\"id\", \"users\"]].groupby(\"id\").value_counts().reset_index(name='no_inputs')\n", + "no_inputs_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mean_inputs_df = user_inputs_df[[\"id\", \"users\", \"no_input_words\"]].groupby(by=['id', 'users']).agg({'no_input_words': 'mean'}).rename(columns={'no_input_words':'mean_input_words'}).reset_index()\n", + "mean_inputs_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "compare_inputs_words_df = no_inputs_df.merge(mean_inputs_df, left_on=['id', 'users'], right_on=['id', 'users'])\n", + "\n", + "# Remove anomaly to see if pattern more clearly - maybe should have been done before calculating the mean\n", + "fig = sns.scatterplot(\n", + " data=compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200],\n", + " x='no_inputs',\n", + " y='mean_input_words',\n", + " hue='users')\n", + "fig.set_xlabel('No. of prompts')\n", + "fig.set_ylabel('Mean length of prompt')\n", + "fig.set_title('Scatter plot comparing number of prompts with the length of prompt for each user session')\n", + "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# A very weak negative col, potentially showing the more detailed input a user gives the less inputs they have to use in a session\n", + "compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200][['mean_input_words', 'no_inputs']].corr()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200].groupby('users')[['mean_input_words', 'no_inputs']].corr()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "redbox-MGCo560N-py3.11", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 6fea88c5c90542c4218e6e00c63f6012df38f8cd Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Tue, 23 Jul 2024 13:34:20 +0100 Subject: [PATCH 046/153] user usage over time and user name processing added --- .../evaluation/analysis_of_chat_history.py | 27 +++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index a1d3e5782..74a9cdc70 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -59,6 +59,17 @@ def preprocess_text(self, text): tokens = text.split() tokens = [word.lower() for word in tokens if word.isalpha()] return tokens + + def process_user_names(self, user_names_column): + ''' + Takes a pandas column and returns a dictionary of key value pairs for the tidy name. + This function tidies user names instead of their emails. + At a later date we could add an option for anonymyty (especially useful when presenting). + ''' + unique_user_email = user_names_column.unique() + unique_user_names = [user_email.split('@')[0].replace('.', ' ').title() for user_email in unique_user_email] + user_name_dict =dict(zip(unique_user_email, unique_user_names)) + return user_name_dict # 1) Who uses Redbox the most? def user_frequency_analysis(self): @@ -102,6 +113,22 @@ def redbox_traffic_analysis(self): plt.ylabel('Number of Conversations') conversation_frequency_path = os.path.join(self.visualisation_dir, 'usage_of_redbox_ai_over_time.png') plt.savefig(conversation_frequency_path) + + def redbox_traffic_by_user(self): + ''' + Plotting how each users usage has changed over time + ''' + user_responses_df = self.user_responses + user_dict = self.process_user_names(user_responses_df.users) + user_responses_df['users'] = user_responses_df['users'].map(user_dict) + # TODO: Ensure created_at column is changed to modified_at column in live version. + pivot_user_time = user_responses_df[['created_at', 'users']].groupby(pd.Grouper(key='created_at', axis=0, freq='2D', sort=True)).value_counts().reset_index(name='count').pivot(index='created_at', columns='users', values='count') + fig = sns.lineplot(data=pivot_user_time, markers=True) + fig.set_xlabel('Date') + fig.set_ylabel('No. of Prompts') + # fig.tick_params(axis='x', rotation=90) + sns.move_legend(fig, "upper left", bbox_to_anchor=(1, 1), title='Users') + fig.set_title('Usage of Redbox by User over Time') # 3) Which words are used the most frequently by USERS? def user_word_frequency_analysis(self): From ab95e89a2804e6fb58256122b0250009223dd4ea Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Tue, 23 Jul 2024 13:35:00 +0100 Subject: [PATCH 047/153] restructure of dashboard to show stories --- notebooks/evaluation/app.py | 25 +++++++++++-------------- 1 file changed, 11 insertions(+), 14 deletions(-) diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py index 44f36c415..6dc0136b3 100644 --- a/notebooks/evaluation/app.py +++ b/notebooks/evaluation/app.py @@ -5,34 +5,31 @@ st.set_option('deprecation.showPyplotGlobalUse', False) st.title('Redbox Chat History Dashboard') -user_freq_tab, traffic_tab, word_freq_tab, ai_word_freq_tab, route_tab, transitions_tab, topic_tab = st.tabs(['User frequency', - 'Redbox traffic', - 'Word frequency', - 'AI word frequency', - 'Route analysis', - 'Route transitions', - 'Topic modelling']) +user_usage_tab, word_freq_tab, route_tab, topic_tab = st.tabs([ + 'Redbox User Usage', + 'Word frequency', + 'Route Analysis', + 'Topic modelling', + ]) cha = ChatHistoryAnalysis() -with user_freq_tab: +with user_usage_tab: st.pyplot(cha.user_frequency_analysis()) - -with traffic_tab: st.pyplot(cha.redbox_traffic_analysis()) + st.pyplot(cha.redbox_traffic_by_user()) with word_freq_tab: + st.title('User') st.pyplot(cha.user_word_frequency_analysis()) - -with ai_word_freq_tab: + st.title('AI') st.pyplot(cha.ai_word_frequency_analysis()) with route_tab: st.pyplot(cha.route_analysis()) - -with transitions_tab: st.pyplot(cha.route_transitions()) + with topic_tab: with st.spinner('Fitting topic model...'): cha.get_topics() From 1dbd9216426f1a50548ede20e6da526a690f7cb4 Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Tue, 23 Jul 2024 13:35:51 +0100 Subject: [PATCH 048/153] linting --- .../evaluation/analysis_of_chat_history.py | 304 ++++++++++-------- notebooks/evaluation/app.py | 30 +- 2 files changed, 177 insertions(+), 157 deletions(-) diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index 74a9cdc70..79ba59fde 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -6,52 +6,55 @@ from collections import Counter from pathlib import Path -import matplotlib.pyplot as plt import matplotlib as mpl +import matplotlib.pyplot as plt import pandas as pd import seaborn as sns -import numpy as np -from regex import D -from wordcloud import STOPWORDS, WordCloud from bertopic import BERTopic +from wordcloud import STOPWORDS, WordCloud + -class ChatHistoryAnalysis(): +class ChatHistoryAnalysis: def __init__(self) -> None: root = Path(__file__).parents[2] self.evaluation_dir = root / "notebooks/evaluation" - results_dir = f'{self.evaluation_dir}/results' - self.visualisation_dir = f'{results_dir}/visualisations/' - self.table_dir = f'{results_dir}/table/' + results_dir = f"{self.evaluation_dir}/results" + self.visualisation_dir = f"{results_dir}/visualisations/" + self.table_dir = f"{results_dir}/table/" os.makedirs(results_dir, exist_ok=True) os.makedirs(self.visualisation_dir, exist_ok=True) os.makedirs(self.table_dir, exist_ok=True) - # IMPORTANT - For this to work you must save your chat history CSV dump in notebooks/evaluation/data/chat_histories + # IMPORTANT - For this to work you must save your chat history CSV dump in notebooks/evaluation/data/chat_histories file_path = self.latest_chat_history_file() self.chat_logs = pd.read_csv(file_path) # Select specific columns and converting to readable timestamp - self.chat_logs = self.chat_logs[['created_at', 'users', 'chat_history', 'text', 'role', 'id']] - self.chat_logs['created_at'] = pd.to_datetime(self.chat_logs['created_at']) + self.chat_logs = self.chat_logs[["created_at", "users", "chat_history", "text", "role", "id"]] + self.chat_logs["created_at"] = pd.to_datetime(self.chat_logs["created_at"]) - self.ai_responses = self.chat_logs[self.chat_logs['role'] == 'ai'] - self.user_responses = self.chat_logs[self.chat_logs['role'] == 'user'] + self.ai_responses = self.chat_logs[self.chat_logs["role"] == "ai"] + self.user_responses = self.chat_logs[self.chat_logs["role"] == "user"] - self.chat_logs['tokens'] = self.chat_logs['text'].apply(self.preprocess_text) - self.ai_responses['tokens'] = self.ai_responses['text'].apply(self.preprocess_text) - self.user_responses['tokens'] = self.user_responses['text'].apply(self.preprocess_text) + self.chat_logs["tokens"] = self.chat_logs["text"].apply(self.preprocess_text) + self.ai_responses["tokens"] = self.ai_responses["text"].apply(self.preprocess_text) + self.user_responses["tokens"] = self.user_responses["text"].apply(self.preprocess_text) - self.user_responses['route'] = self.user_responses['text'].apply(lambda row: 'summarise' if row.startswith('@summarise') else ('chat' if row.startswith('@chat') else 'no_route')) + self.user_responses["route"] = self.user_responses["text"].apply( + lambda row: "summarise" + if row.startswith("@summarise") + else ("chat" if row.startswith("@chat") else "no_route") + ) self.topic_model = None self.topic_model_over_time = None self.figsize = (10, 5) - mpl.rcParams.update({'font.size': 10}) - mpl.rcParams.update({'font.family': 'Arial'}) + mpl.rcParams.update({"font.size": 10}) + mpl.rcParams.update({"font.family": "Arial"}) def latest_chat_history_file(self): - chat_history_folder = glob.glob(f'{self.evaluation_dir}/data/chat_histories/*') + chat_history_folder = glob.glob(f"{self.evaluation_dir}/data/chat_histories/*") latest_file = max(chat_history_folder, key=os.path.getctime) return latest_file @@ -59,254 +62,269 @@ def preprocess_text(self, text): tokens = text.split() tokens = [word.lower() for word in tokens if word.isalpha()] return tokens - + def process_user_names(self, user_names_column): - ''' + """ Takes a pandas column and returns a dictionary of key value pairs for the tidy name. This function tidies user names instead of their emails. At a later date we could add an option for anonymyty (especially useful when presenting). - ''' + """ unique_user_email = user_names_column.unique() - unique_user_names = [user_email.split('@')[0].replace('.', ' ').title() for user_email in unique_user_email] - user_name_dict =dict(zip(unique_user_email, unique_user_names)) + unique_user_names = [user_email.split("@")[0].replace(".", " ").title() for user_email in unique_user_email] + user_name_dict = dict(zip(unique_user_email, unique_user_names, strict=False)) return user_name_dict # 1) Who uses Redbox the most? def user_frequency_analysis(self): - user_counts = self.chat_logs['users'].value_counts() + user_counts = self.chat_logs["users"].value_counts() - user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in user_counts.index] - wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + user_name = [user_email.split("@")[0].replace(".", " ").title() for user_email in user_counts.index] + wrapped_user_name = ["\n".join(textwrap.wrap(name, width=10)) for name in user_name] # Table - table_data = {'Name': user_name, 'Email': user_counts.index, 'Number of times used': user_counts.values} + table_data = {"Name": user_name, "Email": user_counts.index, "Number of times used": user_counts.values} table_dataframe = pd.DataFrame(data=table_data, index=user_name) - table_dataframe.to_csv(f'{self.table_dir}top_users.csv', index=False) + table_dataframe.to_csv(f"{self.table_dir}top_users.csv", index=False) # Barplot plt.figure(figsize=self.figsize) - sns.barplot(x=wrapped_user_name, y=user_counts.values, palette='viridis') + sns.barplot(x=wrapped_user_name, y=user_counts.values, palette="viridis") - plt.xticks(ha='right', size=9) - plt.title('Unique Users by Total Number of Messages') - plt.xlabel('Users') - plt.ylabel('Total No. of Messages') - top_users_path = os.path.join(self.visualisation_dir, 'top_users.png') + plt.xticks(ha="right", size=9) + plt.title("Unique Users by Total Number of Messages") + plt.xlabel("Users") + plt.ylabel("Total No. of Messages") + top_users_path = os.path.join(self.visualisation_dir, "top_users.png") plt.savefig(top_users_path) # 2) Redbox traffic analysis def redbox_traffic_analysis(self): # think about GA integration? - self.chat_logs['date'] = self.chat_logs['created_at'].dt.date - date_counts = self.chat_logs['date'].value_counts().sort_index() + self.chat_logs["date"] = self.chat_logs["created_at"].dt.date + date_counts = self.chat_logs["date"].value_counts().sort_index() # Table - table_data = {'Date': date_counts.index, 'Usage': date_counts.values} + table_data = {"Date": date_counts.index, "Usage": date_counts.values} table_dataframe = pd.DataFrame(data=table_data) - table_dataframe.to_csv(f'{self.table_dir}usage_of_redbox_ai_over_time.csv', index=False) + table_dataframe.to_csv(f"{self.table_dir}usage_of_redbox_ai_over_time.csv", index=False) # Line graph plt.figure(figsize=self.figsize) - date_counts.plot(kind='line') - plt.title('Usage of Redbox AI Over Time') - plt.xlabel('Date') - plt.ylabel('Number of Conversations') - conversation_frequency_path = os.path.join(self.visualisation_dir, 'usage_of_redbox_ai_over_time.png') + date_counts.plot(kind="line") + plt.title("Usage of Redbox AI Over Time") + plt.xlabel("Date") + plt.ylabel("Number of Conversations") + conversation_frequency_path = os.path.join(self.visualisation_dir, "usage_of_redbox_ai_over_time.png") plt.savefig(conversation_frequency_path) - + def redbox_traffic_by_user(self): - ''' + """ Plotting how each users usage has changed over time - ''' + """ user_responses_df = self.user_responses user_dict = self.process_user_names(user_responses_df.users) - user_responses_df['users'] = user_responses_df['users'].map(user_dict) + user_responses_df["users"] = user_responses_df["users"].map(user_dict) # TODO: Ensure created_at column is changed to modified_at column in live version. - pivot_user_time = user_responses_df[['created_at', 'users']].groupby(pd.Grouper(key='created_at', axis=0, freq='2D', sort=True)).value_counts().reset_index(name='count').pivot(index='created_at', columns='users', values='count') + pivot_user_time = ( + user_responses_df[["created_at", "users"]] + .groupby(pd.Grouper(key="created_at", axis=0, freq="2D", sort=True)) + .value_counts() + .reset_index(name="count") + .pivot(index="created_at", columns="users", values="count") + ) fig = sns.lineplot(data=pivot_user_time, markers=True) - fig.set_xlabel('Date') - fig.set_ylabel('No. of Prompts') + fig.set_xlabel("Date") + fig.set_ylabel("No. of Prompts") # fig.tick_params(axis='x', rotation=90) - sns.move_legend(fig, "upper left", bbox_to_anchor=(1, 1), title='Users') - fig.set_title('Usage of Redbox by User over Time') + sns.move_legend(fig, "upper left", bbox_to_anchor=(1, 1), title="Users") + fig.set_title("Usage of Redbox by User over Time") # 3) Which words are used the most frequently by USERS? def user_word_frequency_analysis(self): - all_tokens = [token for tokens in self.user_responses['tokens'] for token in tokens] + all_tokens = [token for tokens in self.user_responses["tokens"] for token in tokens] # far too many stopwords and wordcloud has a lovely constant attached to resolve this stopwords_removed_from_all_tokens = [word for word in all_tokens if word not in STOPWORDS] word_freq = Counter(stopwords_removed_from_all_tokens) - most_common_words = word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this - words, counts = zip(*most_common_words) + most_common_words = word_freq.most_common( + 20 + ) # TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words, strict=False) # Table - table_data = {'Word': list(word_freq.keys()), 'Frequency': list(word_freq.values())} - table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) - table_dataframe.to_csv(f'{self.table_dir}user_most_frequent_words_table.csv', index=False) + table_data = {"Word": list(word_freq.keys()), "Frequency": list(word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values("Frequency", ascending=False) + table_dataframe.to_csv(f"{self.table_dir}user_most_frequent_words_table.csv", index=False) # Barplot plt.figure(figsize=self.figsize) - sns.barplot(x=list(counts), y=list(words), palette='viridis') - plt.title('Top 20 Most Frequent Words') - plt.xlabel('Frequency') - plt.ylabel('Words') - barplot_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words_barplot.png') + sns.barplot(x=list(counts), y=list(words), palette="viridis") + plt.title("Top 20 Most Frequent Words") + plt.xlabel("Frequency") + plt.ylabel("Words") + barplot_path = os.path.join(self.visualisation_dir, "user_most_frequent_words_barplot.png") plt.savefig(barplot_path) # Wordcloud - TODO - assess value - wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(word_freq) + wordcloud = WordCloud(width=800, height=400, background_color="white").generate_from_frequencies(word_freq) plt.figure(figsize=self.figsize) - plt.imshow(wordcloud, interpolation='bilinear') - plt.axis('off') - plt.title('Most Frequent Words') - wordcloud_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words.png') + plt.imshow(wordcloud, interpolation="bilinear") + plt.axis("off") + plt.title("Most Frequent Words") + wordcloud_path = os.path.join(self.visualisation_dir, "user_most_frequent_words.png") plt.savefig(wordcloud_path) # 4) Which words are used the most frequently by AI? def ai_word_frequency_analysis(self): - ai_word_freq = Counter([token for tokens in self.ai_responses['tokens'] for token in tokens if token not in STOPWORDS]) - most_common_words = ai_word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this - words, counts = zip(*most_common_words) + ai_word_freq = Counter( + [token for tokens in self.ai_responses["tokens"] for token in tokens if token not in STOPWORDS] + ) + most_common_words = ai_word_freq.most_common( + 20 + ) # TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words, strict=False) # Table - table_data = {'Word': list(ai_word_freq.keys()), 'Frequency': list(ai_word_freq.values())} - table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) - table_dataframe.to_csv(f'{self.table_dir}ai_most_frequent_words_table.csv', index=False) + table_data = {"Word": list(ai_word_freq.keys()), "Frequency": list(ai_word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values("Frequency", ascending=False) + table_dataframe.to_csv(f"{self.table_dir}ai_most_frequent_words_table.csv", index=False) # Barplot plt.figure(figsize=self.figsize) - sns.barplot(x=list(counts), y=list(words), palette='viridis') - plt.title('Top 20 Most Frequent Words') - plt.xlabel('Frequency') - plt.ylabel('Words') - barplot_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words_barplot.png') + sns.barplot(x=list(counts), y=list(words), palette="viridis") + plt.title("Top 20 Most Frequent Words") + plt.xlabel("Frequency") + plt.ylabel("Words") + barplot_path = os.path.join(self.visualisation_dir, "ai_most_frequent_words_barplot.png") plt.savefig(barplot_path) - + # Wordcloud - TODO - assess value - ai_wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(ai_word_freq) + ai_wordcloud = WordCloud(width=800, height=400, background_color="white").generate_from_frequencies( + ai_word_freq + ) plt.figure(figsize=self.figsize) - plt.imshow(ai_wordcloud, interpolation='bilinear') - plt.axis('off') - plt.title('Most Frequent Words in AI Responses') - ai_wordcloud_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words.png') + plt.imshow(ai_wordcloud, interpolation="bilinear") + plt.axis("off") + plt.title("Most Frequent Words in AI Responses") + ai_wordcloud_path = os.path.join(self.visualisation_dir, "ai_most_frequent_words.png") plt.savefig(ai_wordcloud_path) # 5) Is there a clear pattern behind AI responses? def ai_response_pattern_analysis(self): - def clean_text(text): # was including asterisks giving useless info to the graph I'm still not entirely convinced on the benefit of this analysis - return re.sub('[!@#$*]', '', text).strip() + def clean_text( + text, + ): # was including asterisks giving useless info to the graph I'm still not entirely convinced on the benefit of this analysis + return re.sub("[!@#$*]", "", text).strip() + + self.ai_responses["clean_text"] = self.ai_responses["text"].apply(clean_text) + ai_response_patterns = ( + self.ai_responses["clean_text"].apply(lambda x: " ".join(x.split()[:2])).value_counts().head(10) + ) - self.ai_responses['clean_text'] = self.ai_responses['text'].apply(clean_text) - ai_response_patterns = self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts().head(10) - # Table - words, counts = zip(*self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts()) - table_data = {'Word': words, 'Frequency': counts} + words, counts = zip(*self.ai_responses["clean_text"].apply(lambda x: " ".join(x.split()[:2])).value_counts(), strict=False) + table_data = {"Word": words, "Frequency": counts} table_dataframe = pd.DataFrame(data=table_data) - table_dataframe.to_csv(f'{self.table_dir}common_ai_patterns.csv', index=False) + table_dataframe.to_csv(f"{self.table_dir}common_ai_patterns.csv", index=False) # Barplot plt.figure(figsize=self.figsize) - sns.barplot(x=ai_response_patterns.values, y=ai_response_patterns.index, palette='magma') - plt.title('Common Patterns in AI Responses') - plt.xlabel('Frequency') - plt.ylabel('Patterns') - ai_patterns_path = os.path.join(self.visualisation_dir, 'common_ai_patterns.png') + sns.barplot(x=ai_response_patterns.values, y=ai_response_patterns.index, palette="magma") + plt.title("Common Patterns in AI Responses") + plt.xlabel("Frequency") + plt.ylabel("Patterns") + ai_patterns_path = os.path.join(self.visualisation_dir, "common_ai_patterns.png") plt.savefig(ai_patterns_path) # What routes are people using? def route_analysis(self): - df = self.user_responses.copy() - + # # Some users repeat the same message several times (drop?) # df = df.drop_duplicates(['text']) # User names - user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.users] - wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] - df['user_name'] = wrapped_user_name + user_name = [user_email.split("@")[0].replace(".", " ").title() for user_email in df.users] + wrapped_user_name = ["\n".join(textwrap.wrap(name, width=10)) for name in user_name] + df["user_name"] = wrapped_user_name # Groupby routes - df_grouped = df.groupby(['user_name'])['route'].value_counts().unstack() + df_grouped = df.groupby(["user_name"])["route"].value_counts().unstack() # Plot plt.figure(figsize=self.figsize) - df_grouped.plot(kind='bar', - color={"chat": "teal", - "no_route": "yellowgreen", - "summarise": "gold"}, - figsize=self.figsize) + df_grouped.plot( + kind="bar", color={"chat": "teal", "no_route": "yellowgreen", "summarise": "gold"}, figsize=self.figsize + ) plt.xticks(rotation=0) - plt.xlabel('Users') - plt.ylabel('Number of routes taken') - plt.title('Routes taken per user') - routes_count_path = os.path.join(self.visualisation_dir, 'routes_per_user.png') + plt.xlabel("Users") + plt.ylabel("Number of routes taken") + plt.title("Routes taken per user") + routes_count_path = os.path.join(self.visualisation_dir, "routes_per_user.png") plt.savefig(routes_count_path) def get_route_transitions(self, df): - # TODO Check this works with the groupby ID and time order of events - df['next_route'] = df['route'].shift(1) + df["next_route"] = df["route"].shift(1) + + df["transition"] = df.apply( + lambda row: f"{row['route']} to {row['next_route']}" if pd.notna(row["next_route"]) else None, axis=1 + ) - df['transition'] = df.apply(lambda row: f"{row['route']} to {row['next_route']}" - if pd.notna(row['next_route']) else None, axis=1) - return df # In what way are users switching between routes? def route_transitions(self): - # Get route transitions and counts per user session (is 'id' appropriate?) - df_transitions = self.user_responses.groupby('id').apply(self.get_route_transitions).reset_index(drop=True) + df_transitions = self.user_responses.groupby("id").apply(self.get_route_transitions).reset_index(drop=True) - transition_counts = df_transitions['transition'].value_counts().reset_index() + transition_counts = df_transitions["transition"].value_counts().reset_index() # Plot - sns.barplot(x=transition_counts['transition'], y=transition_counts['count'], - palette='viridis') - plt.xticks(rotation=45, ha='right') - plt.title('Number of different route transitions') - plt.xlabel('Route transition') - plt.ylabel('Number of route transitions') + sns.barplot(x=transition_counts["transition"], y=transition_counts["count"], palette="viridis") + plt.xticks(rotation=45, ha="right") + plt.title("Number of different route transitions") + plt.xlabel("Route transition") + plt.ylabel("Number of route transitions") # Are users asking about common topics? def get_topics(self): - - STOPWORDS.add('@chat') - STOPWORDS.add('@summarise') + STOPWORDS.add("@chat") + STOPWORDS.add("@summarise") # Remove stopwords and fit (simple) topic model - text_without_stopwords = self.user_responses['text'].apply(lambda row: ' '.join([word for word in row.split() if word not in (STOPWORDS)])) - created_at = self.user_responses['created_at'].to_list() - + text_without_stopwords = self.user_responses["text"].apply( + lambda row: " ".join([word for word in row.split() if word not in (STOPWORDS)]) + ) + created_at = self.user_responses["created_at"].to_list() + topic_model = BERTopic(verbose=True) topic_model.fit_transform(text_without_stopwords) topics_over_time = topic_model.topics_over_time(text_without_stopwords, created_at) - + self.topic_model = topic_model - self.topics_over_time = topics_over_time + self.topics_over_time = topics_over_time def visualise_topics(self): # Plot return self.topic_model.visualize_topics(width=800, height=500) - + def visualise_hierarchy(self): # Plot return self.topic_model.visualize_hierarchy(width=800, height=400) - + def visualise_barchart(self): # Plot return self.topic_model.visualize_barchart(width=800, height=400) - + def visualise_topics_over_time(self): # Plot - return self.topic_model.visualize_topics_over_time(self.topics_over_time, - top_n_topics = 5, - normalize_frequency=True) + return self.topic_model.visualize_topics_over_time( + self.topics_over_time, top_n_topics=5, normalize_frequency=True + ) + def main(): chat_history_analysis = ChatHistoryAnalysis() diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py index 6dc0136b3..e4b749c9f 100644 --- a/notebooks/evaluation/app.py +++ b/notebooks/evaluation/app.py @@ -1,16 +1,18 @@ -from analysis_of_chat_history import ChatHistoryAnalysis import streamlit as st +from analysis_of_chat_history import ChatHistoryAnalysis -st.set_page_config(page_title = 'Redbox Chat Analysis', layout = 'centered') -st.set_option('deprecation.showPyplotGlobalUse', False) -st.title('Redbox Chat History Dashboard') +st.set_page_config(page_title="Redbox Chat Analysis", layout="centered") +st.set_option("deprecation.showPyplotGlobalUse", False) +st.title("Redbox Chat History Dashboard") -user_usage_tab, word_freq_tab, route_tab, topic_tab = st.tabs([ - 'Redbox User Usage', - 'Word frequency', - 'Route Analysis', - 'Topic modelling', - ]) +user_usage_tab, word_freq_tab, route_tab, topic_tab = st.tabs( + [ + "Redbox User Usage", + "Word frequency", + "Route Analysis", + "Topic modelling", + ] +) cha = ChatHistoryAnalysis() @@ -20,9 +22,9 @@ st.pyplot(cha.redbox_traffic_by_user()) with word_freq_tab: - st.title('User') + st.title("User") st.pyplot(cha.user_word_frequency_analysis()) - st.title('AI') + st.title("AI") st.pyplot(cha.ai_word_frequency_analysis()) with route_tab: @@ -31,9 +33,9 @@ with topic_tab: - with st.spinner('Fitting topic model...'): + with st.spinner("Fitting topic model..."): cha.get_topics() - + st.plotly_chart(cha.visualise_topics()) st.plotly_chart(cha.visualise_topics_over_time()) st.plotly_chart(cha.visualise_barchart()) From ef647191315d16abaf1fdb5c2e4c06b5fe28240f Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Tue, 23 Jul 2024 17:19:43 +0100 Subject: [PATCH 049/153] word frequency plots added to st dash --- .../evaluation/analysis_of_chat_history.py | 64 +++++++++++++++++-- notebooks/evaluation/app.py | 14 +++- 2 files changed, 70 insertions(+), 8 deletions(-) diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index 79ba59fde..d60731736 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -64,6 +64,7 @@ def preprocess_text(self, text): return tokens def process_user_names(self, user_names_column): + # TODO: Use this function across the board when displaying User Names. Decide whether surname is needed. """ Takes a pandas column and returns a dictionary of key value pairs for the tidy name. This function tidies user names instead of their emails. @@ -76,7 +77,7 @@ def process_user_names(self, user_names_column): # 1) Who uses Redbox the most? def user_frequency_analysis(self): - user_counts = self.chat_logs["users"].value_counts() + user_counts = self.user_responses["users"].value_counts() user_name = [user_email.split("@")[0].replace(".", " ").title() for user_email in user_counts.index] wrapped_user_name = ["\n".join(textwrap.wrap(name, width=10)) for name in user_name] @@ -93,14 +94,14 @@ def user_frequency_analysis(self): plt.xticks(ha="right", size=9) plt.title("Unique Users by Total Number of Messages") plt.xlabel("Users") - plt.ylabel("Total No. of Messages") + plt.ylabel("Total No. of Prompts") top_users_path = os.path.join(self.visualisation_dir, "top_users.png") plt.savefig(top_users_path) # 2) Redbox traffic analysis def redbox_traffic_analysis(self): # think about GA integration? - self.chat_logs["date"] = self.chat_logs["created_at"].dt.date + self.chat_logs["date"] = self.user_responses["created_at"].dt.date date_counts = self.chat_logs["date"].value_counts().sort_index() # Table @@ -113,7 +114,7 @@ def redbox_traffic_analysis(self): date_counts.plot(kind="line") plt.title("Usage of Redbox AI Over Time") plt.xlabel("Date") - plt.ylabel("Number of Conversations") + plt.ylabel("Number of Prompts") conversation_frequency_path = os.path.join(self.visualisation_dir, "usage_of_redbox_ai_over_time.png") plt.savefig(conversation_frequency_path) @@ -224,7 +225,9 @@ def clean_text( ) # Table - words, counts = zip(*self.ai_responses["clean_text"].apply(lambda x: " ".join(x.split()[:2])).value_counts(), strict=False) + words, counts = zip( + *self.ai_responses["clean_text"].apply(lambda x: " ".join(x.split()[:2])).value_counts(), strict=False + ) table_data = {"Word": words, "Frequency": counts} table_dataframe = pd.DataFrame(data=table_data) table_dataframe.to_csv(f"{self.table_dir}common_ai_patterns.csv", index=False) @@ -325,6 +328,57 @@ def visualise_topics_over_time(self): self.topics_over_time, top_n_topics=5, normalize_frequency=True ) + def get_prompt_lengths(self): + """ + Adds the prompt lengths to the user prompt column + """ + user_responses_df = self.user_responses + user_responses_df["no_input_words"] = user_responses_df["text"].apply(lambda n: len(n.split())) + return user_responses_df + + def filter_prompt_lengths(self, outlier_max: int): + """ + Creates option to filter for outliers + """ + user_responses_df = self.get_prompt_lengths() + user_responses_df = user_responses_df[user_responses_df["no_input_words"] < outlier_max] + return user_responses_df + + def visualise_prompt_lengths(self, outlier_max: int): + """ + How does prompt length vary? + """ + user_responses_df = self.filter_prompt_lengths(outlier_max) + fig = sns.displot(user_responses_df["no_input_words"]) + fig.set_axis_labels(x_var="No. of words in prompt", y_var="Count") + + def get_prompt_length_vs_chat_length(self, outlier_max: int): + """ + Compares average prompt length with chat length. + """ + user_responses_df = self.filter_prompt_lengths(outlier_max) + mean_inputs_df = ( + user_responses_df[["id", "users", "no_input_words"]] + .groupby(by=["id", "users"]) + .agg({"no_input_words": "mean"}) + .rename(columns={"no_input_words": "mean_input_words"}) + .reset_index() + ) + no_inputs_df = user_responses_df[["id", "users"]].groupby("id").value_counts().reset_index(name="no_inputs") + compare_inputs_words_df = no_inputs_df.merge(mean_inputs_df, left_on=["id", "users"], right_on=["id", "users"]) + + return compare_inputs_words_df + + def vis_prompt_length_vs_chat_legnth(self, outlier_max: int): + compare_inputs_words_df = self.get_prompt_length_vs_chat_length(outlier_max=outlier_max) + user_dict = self.process_user_names(compare_inputs_words_df.users) + compare_inputs_words_df["users"] = compare_inputs_words_df["users"].map(user_dict) + fig = sns.scatterplot(data=compare_inputs_words_df, x="no_inputs", y="mean_input_words", hue="users") + fig.set_xlabel("No. of prompts") + fig.set_ylabel("Mean length of prompt") + fig.set_title("Scatter plot comparing number of prompts with the length of prompt for each user session") + sns.move_legend(fig, "upper left", bbox_to_anchor=(1, 1)) + def main(): chat_history_analysis = ChatHistoryAnalysis() diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py index e4b749c9f..4b3ccfb5b 100644 --- a/notebooks/evaluation/app.py +++ b/notebooks/evaluation/app.py @@ -5,12 +5,13 @@ st.set_option("deprecation.showPyplotGlobalUse", False) st.title("Redbox Chat History Dashboard") -user_usage_tab, word_freq_tab, route_tab, topic_tab = st.tabs( +user_usage_tab, word_freq_tab, route_tab, topic_tab, prompt_complex = st.tabs( [ "Redbox User Usage", "Word frequency", "Route Analysis", "Topic modelling", + "Prompt Complexity", ] ) @@ -22,9 +23,9 @@ st.pyplot(cha.redbox_traffic_by_user()) with word_freq_tab: - st.title("User") + st.subheader("User") st.pyplot(cha.user_word_frequency_analysis()) - st.title("AI") + st.subheader("AI") st.pyplot(cha.ai_word_frequency_analysis()) with route_tab: @@ -40,3 +41,10 @@ st.plotly_chart(cha.visualise_topics_over_time()) st.plotly_chart(cha.visualise_barchart()) st.plotly_chart(cha.visualise_hierarchy()) + +with prompt_complex: + # Adding slider for prompt legnth + max_outlier = cha.get_prompt_lengths()["no_input_words"].max() + 10 + outlier = st.slider("Please use the slicer if you wish to remove outliers.", 0, max_outlier, 700) + st.pyplot(cha.visualise_prompt_lengths(outlier_max=outlier)) + st.pyplot(cha.vis_prompt_length_vs_chat_legnth(outlier_max=outlier)) From 5ed04b11ff26b971e7869364fc4163aebde973fd Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 23 Jul 2024 19:56:44 +0100 Subject: [PATCH 050/153] feat: add max_tokens paramter to openai ChatLiteLLM --- core_api/src/dependencies.py | 1 + 1 file changed, 1 insertion(+) diff --git a/core_api/src/dependencies.py b/core_api/src/dependencies.py index fd477fb77..8285ee560 100644 --- a/core_api/src/dependencies.py +++ b/core_api/src/dependencies.py @@ -121,6 +121,7 @@ def get_llm(env: Annotated[Settings, Depends(get_env)]) -> ChatLiteLLM: openai_key=env.openai_api_key, callbacks=[logger_callback], model=env.openai_model, + max_tokens=env.llm_max_tokens ) elif env.azure_openai_api_key is not None: log.info("Creating Azure LLM Client") From d5308154611f699a398c13210cf4a7ff8bffd1e6 Mon Sep 17 00:00:00 2001 From: Natasha Boyse Date: Thu, 25 Jul 2024 09:28:15 +0100 Subject: [PATCH 051/153] restrict to superuser only --- django_app/redbox_app/redbox_core/views.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/redbox_core/views.py b/django_app/redbox_app/redbox_core/views.py index 4d20a794b..2161de501 100644 --- a/django_app/redbox_app/redbox_core/views.py +++ b/django_app/redbox_app/redbox_core/views.py @@ -388,7 +388,7 @@ def get_object(self, **kwargs): # noqa: ARG002 return self.request.user -# @user_passes_test(lambda u: u.is_superuser) +@user_passes_test(lambda u: u.is_superuser) def streamlit_view(request): context = { 'streamlit_host': settings.STREAMLIT_HOST From 3fd7bd53e2f8c2d13a446cfacecff7da99f9ee7d Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Thu, 25 Jul 2024 09:53:50 +0100 Subject: [PATCH 052/153] Plot tidy --- notebooks/evaluation/analysis_of_chat_history.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index d60731736..0ac811d2a 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -33,6 +33,15 @@ def __init__(self) -> None: self.chat_logs = self.chat_logs[["created_at", "users", "chat_history", "text", "role", "id"]] self.chat_logs["created_at"] = pd.to_datetime(self.chat_logs["created_at"]) + # Create function for toggle to anonymise users + chat_log_users = self.chat_logs['users'].unique() + n_users = len(chat_log_users) + anon_users = [] + for i in range(1,n_users+1): + anon_users.append(f"User {i}") + anon_user_dict = dict(zip(chat_log_users, anon_users)) + self.chat_logs['users'] = self.chat_logs['users'].map(anon_user_dict) + self.ai_responses = self.chat_logs[self.chat_logs["role"] == "ai"] self.user_responses = self.chat_logs[self.chat_logs["role"] == "user"] From 6c3dc1abc274da4876f6983d2798073013da206d Mon Sep 17 00:00:00 2001 From: Natasha Boyse Date: Thu, 25 Jul 2024 12:41:47 +0100 Subject: [PATCH 053/153] adding missing packages --- notebooks/evaluation/analysis_of_chat_history.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index a660fd3fd..0f0cc514b 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -16,7 +16,7 @@ from regex import D from wordcloud import STOPWORDS, WordCloud -packages = ["django-environ", "django-use-email-as-username", 'psycopg2-binary', 'django-magic-link', 'django-single-session', 'django-compressor'] +packages = ["django-environ", "django-use-email-as-username", 'psycopg2-binary', 'django-magic-link', 'django-single-session', 'django-compressor', 'django-import-export', 'django-storages', 'daphne', 'django-allauth'] import pip for package in packages: From afe596b3f980b56286da1e18a05b6664b659b4f1 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Thu, 25 Jul 2024 13:52:33 +0100 Subject: [PATCH 054/153] Feat: Creating docker image for streamlit app (#22) --- .gitignore | 4 + .../management/commands/run_streamlit_app.py | 11 + django_app/redbox_app/redbox_core/views.py | 10 +- django_app/redbox_app/settings.py | 3 + .../redbox_app/templates/streamlit_app.html | 8 + django_app/redbox_app/urls.py | 1 + docker-compose.yml | 26 + notebooks/__init__.py | 0 notebooks/evaluation/Dockerfile | 44 ++ notebooks/evaluation/__init__.py | 0 .../evaluation/analysis_of_chat_history.py | 340 ++++++++++++ notebooks/evaluation/app.py | 44 ++ notebooks/evaluation/rag_experiments.py | 510 ++++++++++++++++++ .../evaluation/tests/test_rag_experiments.py | 212 ++++++++ poetry.lock | 488 ++++++++++++++++- pyproject.toml | 6 + 16 files changed, 1704 insertions(+), 3 deletions(-) create mode 100644 django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py create mode 100644 django_app/redbox_app/templates/streamlit_app.html create mode 100644 notebooks/__init__.py create mode 100644 notebooks/evaluation/Dockerfile create mode 100644 notebooks/evaluation/__init__.py create mode 100644 notebooks/evaluation/analysis_of_chat_history.py create mode 100644 notebooks/evaluation/app.py create mode 100644 notebooks/evaluation/rag_experiments.py create mode 100644 notebooks/evaluation/tests/test_rag_experiments.py diff --git a/.gitignore b/.gitignore index a9cfc871f..42b64d9e6 100644 --- a/.gitignore +++ b/.gitignore @@ -213,3 +213,7 @@ django_app/tests/staticfiles # pre commit files .pre-commit-trivy-cache + +# chat history files and personal data +*chat_history_* +notebooks/evaluation/results \ No newline at end of file diff --git a/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py b/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py new file mode 100644 index 000000000..8be505577 --- /dev/null +++ b/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py @@ -0,0 +1,11 @@ +import subprocess + +from django.core.management.base import BaseCommand + + +class Command(BaseCommand): + help = 'Run the Streamlit app' + + def handle(self, *args, **kwargs): + self.stdout.write(self.style.SUCCESS('Starting Streamlit app...')) + subprocess.run(['streamlit', 'run', 'notebooks/embeddings/app.py']) \ No newline at end of file diff --git a/django_app/redbox_app/redbox_core/views.py b/django_app/redbox_app/redbox_core/views.py index d1aa23133..2161de501 100644 --- a/django_app/redbox_app/redbox_core/views.py +++ b/django_app/redbox_app/redbox_core/views.py @@ -4,7 +4,7 @@ from pathlib import Path from django.conf import settings -from django.contrib.auth.decorators import login_required +from django.contrib.auth.decorators import login_required, user_passes_test from django.core.exceptions import FieldError, ValidationError from django.core.files.uploadedfile import UploadedFile from django.db.models import Min, Prefetch @@ -386,3 +386,11 @@ class DemographicsView(UpdateView): def get_object(self, **kwargs): # noqa: ARG002 return self.request.user + + +@user_passes_test(lambda u: u.is_superuser) +def streamlit_view(request): + context = { + 'streamlit_host': settings.STREAMLIT_HOST + } + return render(request, 'streamlit_app.html', context) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 3606c5df7..d4fb5384d 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -178,6 +178,7 @@ ) CSP_STYLE_SRC = ("'self'",) CSP_FRAME_ANCESTORS = ("'none'",) +CSP_FRAME_SRC = ("'self'", env.str("STREAMLIT_HOST")) CSP_CONNECT_SRC = ["'self'", f"wss://{env_hosts[0]}/ws/chat/", "plausible.io"] # https://pypi.org/project/django-permissions-policy/ @@ -362,3 +363,5 @@ else: LOGIN_REDIRECT_URL = "homepage" LOGIN_URL = "sign-in" + +STREAMLIT_HOST = env.str("STREAMLIT_HOST") diff --git a/django_app/redbox_app/templates/streamlit_app.html b/django_app/redbox_app/templates/streamlit_app.html new file mode 100644 index 000000000..4cf815679 --- /dev/null +++ b/django_app/redbox_app/templates/streamlit_app.html @@ -0,0 +1,8 @@ +{% extends "base.html" %} + +{% set pageTitle = "Streamlit App" %} + +{% block content %} + + +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/urls.py b/django_app/redbox_app/urls.py index 5ff06a671..fe5536b85 100644 --- a/django_app/redbox_app/urls.py +++ b/django_app/redbox_app/urls.py @@ -54,6 +54,7 @@ path("file-status/", views.file_status_api_view, name="file-status"), path("check-demographics/", views.CheckDemographicsView.as_view(), name="check-demographics"), path("demographics/", views.DemographicsView.as_view(), name="demographics"), + path("streamlit/", views.streamlit_view, name="streamlit_view"), ] urlpatterns = ( diff --git a/docker-compose.yml b/docker-compose.yml index 5585f26d1..d3723916d 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,3 +1,5 @@ +version: '3' + services: django-app: image: django-app:latest @@ -26,6 +28,22 @@ services: timeout: 30s retries: 24 start_period: 60s + + streamlit-app: + image: streamlit-app:latest + build: + context: . + dockerfile: ./notebooks/evaluation/Dockerfile + ports: + - "8501:8501" + networks: + - redbox-app-network + env_file: + - .env + volumes: + - ./notebooks/evaluation:/app/notebooks/evaluation + + db: image: postgres:13 env_file: @@ -42,6 +60,7 @@ services: timeout: 30s retries: 24 start_period: 30s + requirements: image: python:3.11 profiles: @@ -79,6 +98,7 @@ services: networks: - redbox-app-network restart: unless-stopped + core-api: image: redbox-core-api:latest build: @@ -110,6 +130,7 @@ services: timeout: 30s retries: 24 start_period: 60s + minio: image: minio/minio expose: @@ -133,6 +154,7 @@ services: timeout: 30s retries: 24 start_period: 30s + elasticsearch: image: elasticsearch:8.12.0 volumes: @@ -158,6 +180,7 @@ services: timeout: 30s retries: 24 start_period: 60s + kibana: image: kibana:8.12.0 ports: @@ -174,6 +197,7 @@ services: elasticsearch: condition: service_healthy restart: unless-stopped + redis: image: redis:7-alpine restart: always @@ -192,6 +216,7 @@ services: retries: 24 start_period: 60s + networks: redbox-app-network: driver: bridge @@ -204,3 +229,4 @@ volumes: redis: driver: local redis-insight: + streamlit-app: diff --git a/notebooks/__init__.py b/notebooks/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/notebooks/evaluation/Dockerfile b/notebooks/evaluation/Dockerfile new file mode 100644 index 000000000..f49b25940 --- /dev/null +++ b/notebooks/evaluation/Dockerfile @@ -0,0 +1,44 @@ +FROM python:3.11-buster as builder + +WORKDIR /app/ + +RUN pip install poetry + +ENV POETRY_NO_INTERACTION=1 \ + POETRY_VIRTUALENVS_IN_PROJECT=1 \ + POETRY_VIRTUALENVS_CREATE=1 \ + POETRY_CACHE_DIR=/tmp/poetry_cache + +ADD pyproject.toml poetry.lock /app/ +ADD redbox-core /app/redbox-core +ADD README.md /app/README.md +COPY ../../django_app /app/django_app +COPY django_app/pyproject.toml django_app/poetry.lock /app/django_app/ + +RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi + +WORKDIR /app/django_app +RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi + +WORKDIR /app + +COPY notebooks/evaluation/app.py /app/ + +FROM python:3.11-slim as runtime + +WORKDIR /app/ + +RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null + +ENV VIRTUAL_ENV=/app/.venv \ + PATH="/app/.venv/bin:$PATH" \ + PYTHONPATH="/app/django_app" + +COPY --from=builder /app/.venv /app/.venv + +COPY notebooks/evaluation /app/notebooks/evaluation +COPY --from=builder /app/django_app /app/django_app + +EXPOSE 8501 + +CMD ["streamlit", "run", "notebooks/evaluation/app.py", "--server.port=8501", "--server.address=0.0.0.0"] diff --git a/notebooks/evaluation/__init__.py b/notebooks/evaluation/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py new file mode 100644 index 000000000..0f0cc514b --- /dev/null +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -0,0 +1,340 @@ +import glob +import inspect +import os +import re +import textwrap +from collections import Counter +from pathlib import Path + +import matplotlib as mpl +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +import seaborn as sns +from bertopic import BERTopic +from django.db.models import F, Prefetch +from regex import D +from wordcloud import STOPWORDS, WordCloud + +packages = ["django-environ", "django-use-email-as-username", 'psycopg2-binary', 'django-magic-link', 'django-single-session', 'django-compressor', 'django-import-export', 'django-storages', 'daphne', 'django-allauth'] +import pip + +for package in packages: + pip.main(['install', package]) + +import django + +django.setup() + +from redbox_app.redbox_core.models import ChatHistory, ChatMessage + + +class ChatHistoryAnalysis(): + def __init__(self) -> None: + root = Path(__file__).parents[2] + self.evaluation_dir = root / "notebooks/evaluation" + results_dir = f'{self.evaluation_dir}/results' + self.visualisation_dir = f'{results_dir}/visualisations/' + self.table_dir = f'{results_dir}/table/' + os.makedirs(results_dir, exist_ok=True) + os.makedirs(self.visualisation_dir, exist_ok=True) + os.makedirs(self.table_dir, exist_ok=True) + + self.chat_logs = self.fetch_chat_history() + import logging + logging.basicConfig(level=logging.INFO) + logger = logging.getLogger() + logger.info('hello123456') + logger.info(self.chat_logs.columns.values) + + # Select specific columns and converting to readable timestamp + self.chat_logs = self.chat_logs[['created_at', 'users_id', 'user_email', 'chat_history', 'text', 'role', 'message_id']] + self.chat_logs['created_at'] = pd.to_datetime(self.chat_logs['created_at']) + + self.ai_responses = self.chat_logs[self.chat_logs['role'] == 'ai'] + self.user_responses = self.chat_logs[self.chat_logs['role'] == 'user'] + + self.chat_logs['tokens'] = self.chat_logs['text'].apply(self.preprocess_text) + self.ai_responses['tokens'] = self.ai_responses['text'].apply(self.preprocess_text) + self.user_responses['tokens'] = self.user_responses['text'].apply(self.preprocess_text) + + self.user_responses['route'] = self.user_responses['text'].apply(lambda row: 'summarise' if row.startswith('@summarise') else ('chat' if row.startswith('@chat') else 'no_route')) + + self.topic_model = None + self.topic_model_over_time = None + + self.figsize = (10, 5) + mpl.rcParams.update({'font.size': 10}) + mpl.rcParams.update({'font.family': 'Arial'}) + + def fetch_chat_history(self, limit=100): + chat_messages = ChatMessage.objects.all() + chat_history_objects = ChatHistory.objects.prefetch_related( + Prefetch('messages', queryset=chat_messages) + ).annotate( + user_email=F('users__email') + ).values( + 'created_at', + 'users_id', + 'user_email', + chat_history=F('id'), + )[:limit] + + results = [] + for chat_history in chat_history_objects: + messages = ChatMessage.objects.filter(chat_history=chat_history['chat_history']).values('text', 'role', 'id') + for message in messages: + result = { + 'created_at': chat_history['created_at'], + 'users_id': chat_history['users_id'], + 'user_email': chat_history['user_email'], + 'chat_history': chat_history['chat_history'], + 'text': message['text'], + 'role': message['role'], + 'message_id': message['id'] + } + results.append(result) + + df = pd.DataFrame(results) + return df + + + def preprocess_text(self, text): + tokens = text.split() + tokens = [word.lower() for word in tokens if word.isalpha()] + return tokens + + # 1) Who uses Redbox the most? + def user_frequency_analysis(self): + user_counts = self.chat_logs['user_email'].value_counts() + + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in user_counts.index] + wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + + # Table + table_data = {'Name': user_name, 'Email': user_counts.index, 'Number of times used': user_counts.values} + table_dataframe = pd.DataFrame(data=table_data, index=user_name) + table_dataframe.to_csv(f'{self.table_dir}top_users.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=wrapped_user_name, y=user_counts.values, palette='viridis') + + plt.xticks(ha='right', size=9) + plt.title('Unique Users by Total Number of Messages') + plt.xlabel('Users') + plt.ylabel('Total No. of Messages') + top_users_path = os.path.join(self.visualisation_dir, 'top_users.png') + plt.savefig(top_users_path) + + # 2) Redbox traffic analysis + def redbox_traffic_analysis(self): + # think about GA integration? + self.chat_logs['date'] = self.chat_logs['created_at'].dt.date + date_counts = self.chat_logs['date'].value_counts().sort_index() + + # Table + table_data = {'Date': date_counts.index, 'Usage': date_counts.values} + table_dataframe = pd.DataFrame(data=table_data) + table_dataframe.to_csv(f'{self.table_dir}usage_of_redbox_ai_over_time.csv', index=False) + + # Line graph + plt.figure(figsize=self.figsize) + date_counts.plot(kind='line') + plt.title('Usage of Redbox AI Over Time') + plt.xlabel('Date') + plt.ylabel('Number of Conversations') + conversation_frequency_path = os.path.join(self.visualisation_dir, 'usage_of_redbox_ai_over_time.png') + plt.savefig(conversation_frequency_path) + + # 3) Which words are used the most frequently by USERS? + def user_word_frequency_analysis(self): + all_tokens = [token for tokens in self.user_responses['tokens'] for token in tokens] + + # far too many stopwords and wordcloud has a lovely constant attached to resolve this + stopwords_removed_from_all_tokens = [word for word in all_tokens if word not in STOPWORDS] + + word_freq = Counter(stopwords_removed_from_all_tokens) + + most_common_words = word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words) + + # Table + table_data = {'Word': list(word_freq.keys()), 'Frequency': list(word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) + table_dataframe.to_csv(f'{self.table_dir}user_most_frequent_words_table.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette='viridis') + plt.title('Top 20 Most Frequent Words') + plt.xlabel('Frequency') + plt.ylabel('Words') + barplot_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words_barplot.png') + plt.savefig(barplot_path) + + # Wordcloud - TODO - assess value + wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(word_freq) + plt.figure(figsize=self.figsize) + plt.imshow(wordcloud, interpolation='bilinear') + plt.axis('off') + plt.title('Most Frequent Words') + wordcloud_path = os.path.join(self.visualisation_dir, 'user_most_frequent_words.png') + plt.savefig(wordcloud_path) + + # 4) Which words are used the most frequently by AI? + def ai_word_frequency_analysis(self): + ai_word_freq = Counter([token for tokens in self.ai_responses['tokens'] for token in tokens if token not in STOPWORDS]) + most_common_words = ai_word_freq.most_common(20) #TODO - determine how many common words we want and the right vis. for this + words, counts = zip(*most_common_words) + + # Table + table_data = {'Word': list(ai_word_freq.keys()), 'Frequency': list(ai_word_freq.values())} + table_dataframe = pd.DataFrame(data=table_data).sort_values('Frequency', ascending=False) + table_dataframe.to_csv(f'{self.table_dir}ai_most_frequent_words_table.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette='viridis') + plt.title('Top 20 Most Frequent Words') + plt.xlabel('Frequency') + plt.ylabel('Words') + barplot_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words_barplot.png') + plt.savefig(barplot_path) + + # Wordcloud - TODO - assess value + ai_wordcloud = WordCloud(width=800, height=400, background_color='white').generate_from_frequencies(ai_word_freq) + plt.figure(figsize=self.figsize) + plt.imshow(ai_wordcloud, interpolation='bilinear') + plt.axis('off') + plt.title('Most Frequent Words in AI Responses') + ai_wordcloud_path = os.path.join(self.visualisation_dir, 'ai_most_frequent_words.png') + plt.savefig(ai_wordcloud_path) + + # 5) Is there a clear pattern behind AI responses? + def ai_response_pattern_analysis(self): + def clean_text(text): # was including asterisks giving useless info to the graph I'm still not entirely convinced on the benefit of this analysis + return re.sub('[!@#$*]', '', text).strip() + + self.ai_responses['clean_text'] = self.ai_responses['text'].apply(clean_text) + ai_response_patterns = self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts().head(10) + + # Table + words, counts = zip(*self.ai_responses['clean_text'].apply(lambda x: ' '.join(x.split()[:2])).value_counts()) + table_data = {'Word': words, 'Frequency': counts} + table_dataframe = pd.DataFrame(data=table_data) + table_dataframe.to_csv(f'{self.table_dir}common_ai_patterns.csv', index=False) + + # Barplot + plt.figure(figsize=self.figsize) + sns.barplot(x=ai_response_patterns.values, y=ai_response_patterns.index, palette='magma') + plt.title('Common Patterns in AI Responses') + plt.xlabel('Frequency') + plt.ylabel('Patterns') + ai_patterns_path = os.path.join(self.visualisation_dir, 'common_ai_patterns.png') + plt.savefig(ai_patterns_path) + + # What routes are people using? + def route_analysis(self): + + df = self.user_responses.copy() + + # # Some users repeat the same message several times (drop?) + # df = df.drop_duplicates(['text']) + + # User names + user_name = [user_email.split('@')[0].replace('.', ' ').title() for user_email in df.user_email] + wrapped_user_name = ['\n'.join(textwrap.wrap(name, width=10)) for name in user_name] + df['user_name'] = wrapped_user_name + + # Groupby routes + df_grouped = df.groupby(['user_name'])['route'].value_counts().unstack() + + # Plot + plt.figure(figsize=self.figsize) + df_grouped.plot(kind='bar', + color={"chat": "teal", + "no_route": "yellowgreen", + "summarise": "gold"}, + figsize=self.figsize) + plt.xticks(rotation=0) + plt.xlabel('Users') + plt.ylabel('Number of routes taken') + plt.title('Routes taken per user') + routes_count_path = os.path.join(self.visualisation_dir, 'routes_per_user.png') + plt.savefig(routes_count_path) + + def get_route_transitions(self, df): + + # TODO Check this works with the groupby ID and time order of events + df['next_route'] = df['route'].shift(1) + + df['transition'] = df.apply(lambda row: f"{row['route']} to {row['next_route']}" + if pd.notna(row['next_route']) else None, axis=1) + + return df + + # In what way are users switching between routes? + def route_transitions(self): + + # Get route transitions and counts per user session (is 'id' appropriate?) + df_transitions = self.user_responses.groupby('users_id').apply(self.get_route_transitions).reset_index(drop=True) + + transition_counts = df_transitions['transition'].value_counts().reset_index() + + # Plot + sns.barplot(x=transition_counts['transition'], y=transition_counts['count'], + palette='viridis') + plt.xticks(rotation=45, ha='right') + plt.title('Number of different route transitions') + plt.xlabel('Route transition') + plt.ylabel('Number of route transitions') + + # Are users asking about common topics? + def get_topics(self): + + STOPWORDS.add('@chat') + STOPWORDS.add('@summarise') + + # Remove stopwords and fit (simple) topic model + text_without_stopwords = self.user_responses['text'].apply(lambda row: ' '.join([word for word in row.split() if word not in (STOPWORDS)])) + created_at = self.user_responses['created_at'].to_list() + + topic_model = BERTopic(verbose=True) + topic_model.fit_transform(text_without_stopwords) + topics_over_time = topic_model.topics_over_time(text_without_stopwords, created_at) + + self.topic_model = topic_model + self.topics_over_time = topics_over_time + + def visualise_topics(self): + # Plot + return self.topic_model.visualize_topics(width=800, height=500) + + def visualise_hierarchy(self): + # Plot + return self.topic_model.visualize_hierarchy(width=800, height=400) + + def visualise_barchart(self): + # Plot + return self.topic_model.visualize_barchart(width=800, height=400) + + def visualise_topics_over_time(self): + # Plot + return self.topic_model.visualize_topics_over_time(self.topics_over_time, + top_n_topics = 5, + normalize_frequency=True) + +def main(): + chat_history_analysis = ChatHistoryAnalysis() + attrs = (getattr(chat_history_analysis, name) for name in dir(chat_history_analysis)) + methods = filter(inspect.ismethod, attrs) + for method in methods: + try: + method() + except TypeError: + pass + + +if __name__ == "__main__": + main() diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py new file mode 100644 index 000000000..6e56b7332 --- /dev/null +++ b/notebooks/evaluation/app.py @@ -0,0 +1,44 @@ +import streamlit as st + +from analysis_of_chat_history import ChatHistoryAnalysis + +st.set_page_config(page_title = 'Redbox Chat Analysis', layout = 'centered') +st.set_option('deprecation.showPyplotGlobalUse', False) +st.title('Redbox Chat History Dashboard') + +user_freq_tab, traffic_tab, word_freq_tab, ai_word_freq_tab, route_tab, transitions_tab, topic_tab = st.tabs(['User frequency', + 'Redbox traffic', + 'Word frequency', + 'AI word frequency', + 'Route analysis', + 'Route transitions', + 'Topic modelling']) + +cha = ChatHistoryAnalysis() + +with user_freq_tab: + st.pyplot(cha.user_frequency_analysis()) + +with traffic_tab: + st.pyplot(cha.redbox_traffic_analysis()) + +with word_freq_tab: + st.pyplot(cha.user_word_frequency_analysis()) + +with ai_word_freq_tab: + st.pyplot(cha.ai_word_frequency_analysis()) + +with route_tab: + st.pyplot(cha.route_analysis()) + +with transitions_tab: + st.pyplot(cha.route_transitions()) + +with topic_tab: + with st.spinner('Fitting topic model...'): + cha.get_topics() + + st.plotly_chart(cha.visualise_topics()) + st.plotly_chart(cha.visualise_topics_over_time()) + st.plotly_chart(cha.visualise_barchart()) + st.plotly_chart(cha.visualise_hierarchy()) diff --git a/notebooks/evaluation/rag_experiments.py b/notebooks/evaluation/rag_experiments.py new file mode 100644 index 000000000..d64f7fe4e --- /dev/null +++ b/notebooks/evaluation/rag_experiments.py @@ -0,0 +1,510 @@ +import json +import sys +from dataclasses import asdict +from operator import itemgetter +from pathlib import Path +from typing import Annotated + +import click +import jsonlines +import pandas as pd +import seaborn as sns +from deepeval import evaluate +from deepeval.dataset import EvaluationDataset +from deepeval.metrics import ( + AnswerRelevancyMetric, + ContextualPrecisionMetric, + ContextualRecallMetric, + ContextualRelevancyMetric, + FaithfulnessMetric, + HallucinationMetric, +) +from dotenv import find_dotenv, load_dotenv +from elasticsearch import Elasticsearch +from elasticsearch.helpers import bulk, scan +from fastapi import Depends +from langchain.globals import set_verbose +from langchain.schema import StrOutputParser +from langchain_community.chat_models import ChatLiteLLM +from langchain_core.retrievers import BaseRetriever +from langchain_core.runnables import ConfigurableField, Runnable, RunnableLambda, RunnablePassthrough +from langchain_core.vectorstores import VectorStoreRetriever +from scipy import stats +from tiktoken import Encoding + +# Temp hack - there is an issue with the importing of redbox-core +sys.path.append(str(Path(__file__).parents[2])) + +from core_api.src import dependencies +from core_api.src.dependencies import get_tokeniser +from core_api.src.format import format_documents +from core_api.src.retriever import ParameterisedElasticsearchRetriever +from core_api.src.runnables import make_chat_prompt_from_messages_runnable +from redbox.models import ChatRoute, Settings +from redbox.models.chain import ChainInput +from redbox.models.file import UUID +from redbox.models.settings import ElasticLocalSettings + +set_verbose(False) + + +_ = load_dotenv(find_dotenv()) + + +class GetExperimentResults: + """ + Class to handle experiment results retrieval and processing. + + Attributes: + data_version (str): Data version to be used in experiment + benchmark (bool): Benchmark stated or not + V_EMBEDDINGS (str): Embeddings version + V_ROOT (path): Path to where the root of experiment data lies + V_SYNTHETIC (path): Path to the synthetic data + V_RESULTS (path): Path to the results from data processing + MODEL (str): Embedding model + ES_CLIENT (func): Elastic search client from settings + INDEX (str): Index for the json lines file + experiment_name (str): Name of the experiment + """ + + def __init__(self): + self.data_version = None + self.benchmark = None + self.V_EMBEDDINGS = "" + self.V_ROOT = None + self.V_SYNTHETIC = None + self.V_RESULTS = None + self.MODEL = None + self.ES_CLIENT = None + self.INDEX = None + self.experiment_name = None + self.retrieval_system_prompt = None + self.retrieval_question_prompt = None + self.eval_results = None + self.ENV = Settings(minio_host="localhost", elastic=ElasticLocalSettings(host="localhost")) + self.LLM = ChatLiteLLM( + model="gpt-4o", + streaming=True, + ) + self.FILE_UUIDS = None + self.USER_UUID = UUID("aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa") + self.experiment_file_name = None + self.experiment_parameters = None + + def set_data_version(self, data_version): + """ + This function sets the necessary environment variables depending on your data version. + It assumes you have a versioned evaluation folder in your repository e.g. notebooks/evaluation/data/0.2.0 + This should be copied from the Redbox shared Google Drive. + This folder contains the raw files, QA sets, embeddings etc. + """ + self.data_version = data_version + root = Path(__file__).parents[2] + evaluation_dir = root / "notebooks/evaluation" + self.V_ROOT = evaluation_dir / f"data/{self.data_version}" + self.V_SYNTHETIC = self.V_ROOT / "synthetic" + self.V_RESULTS = self.V_ROOT / "results" + self.V_EMBEDDINGS = self.V_ROOT / "embeddings" + self.MODEL = self.ENV.embedding_model + self.INDEX = f"{self.data_version}-{self.MODEL}".lower() + self.ES_CLIENT = self.ENV.elasticsearch_client() + + def load_chunks_from_jsonl_to_index(self) -> set: + """ + This function takes the versioned embeddings (e.g. from notebooks/evaluation/data/0.2.0/embeddings) + and loads them to ElasticSearch. + """ + file_uuids = set() + file_path = self.V_EMBEDDINGS / f"{self.MODEL}.jsonl" + + with jsonlines.open(file_path, mode="r") as reader: + for chunk_raw in reader: + chunk = json.loads(chunk_raw) + self.ES_CLIENT.index( + index=self.INDEX, + id=chunk["uuid"], + body=chunk, + ) + + file_uuids.add(chunk["parent_file_uuid"]) + self.FILE_UUIDS = file_uuids + return file_uuids + + def clear_index(self) -> None: + """ + This function clears the indexes from ElasticSearch. + """ + if not self.ES_CLIENT.indices.exists(index=self.INDEX): + return None + + documents = list(scan(self.ES_CLIENT, index=self.INDEX, query={"query": {"match_all": {}}})) + bulk_data = [{"_op_type": "delete", "_index": doc["_index"], "_id": doc["_id"]} for doc in documents] + if bulk_data: + return bulk(self.ES_CLIENT, bulk_data, request_timeout=300) + return None + + def get_parameterised_retriever( + self, es: Annotated[Elasticsearch, Depends(dependencies.get_elasticsearch_client)] + ) -> BaseRetriever: + """ + Creates an Elasticsearch retriever runnable. + Runnable takes input of a dict keyed to question, file_uuids and user_uuid. + Runnable returns a list of Chunks. + """ + default_params = { + "size": self.ENV.ai.rag_k, + "num_candidates": self.ENV.ai.rag_num_candidates, + "match_boost": 1, + "knn_boost": 1, + "similarity_threshold": 0, + } + + return ParameterisedElasticsearchRetriever( + es_client=es, + index_name=self.INDEX, + params=default_params, + embedding_model=dependencies.get_embedding_model(self.ENV), + ).configurable_fields( + params=ConfigurableField( + id="params", + name="Retriever parameters", + description="A dictionary of parameters to use for the retriever.", + ) + ) + + def build_retrieval_chain( + self, + llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], + retriever: Annotated[VectorStoreRetriever, Depends(dependencies.get_parameterised_retriever)], + tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], + env: Annotated[Settings, Depends(dependencies.get_env)], + ) -> Runnable: + """ + This is an adaptation of core_api.src.build_chains.build_retrieval_chain. + Function experiements with different retrieval_system_prompt and retrieval_question_prompt. + """ + return ( + RunnablePassthrough.assign(documents=retriever) + | RunnablePassthrough.assign( + formatted_documents=(RunnablePassthrough() | itemgetter("documents") | format_documents) + ) + | { + "response": make_chat_prompt_from_messages_runnable( + system_prompt=str(self.retrieval_system_prompt), + question_prompt=str(self.retrieval_question_prompt), + input_token_budget=env.ai.context_window_size - env.llm_max_tokens, + tokeniser=tokeniser, + ) + | llm + | StrOutputParser(), + "source_documents": itemgetter("documents"), + "route_name": RunnableLambda(lambda _: ChatRoute.search.value), + } + ) + + def get_rag_results( + self, + question, + ) -> dict: + """ + Get Redbox response for a given question. + """ + retriever = self.get_parameterised_retriever(es=self.ES_CLIENT) + + chain = self.build_retrieval_chain(llm=self.LLM, retriever=retriever, tokeniser=get_tokeniser(), env=self.ENV) + + response = chain.invoke( + input=ChainInput( + question=question, + chat_history=[{"text": "", "role": "user"}], + file_uuids=list(self.FILE_UUIDS), + user_uuid=self.USER_UUID, + ).model_dump() + ) + + filtered_chunks = [] + + for chunk in response["source_documents"]: + dict_chunk = dict(chunk) + filtered_chunk = { + "page_content": dict_chunk["page_content"], + "page_number": dict_chunk["metadata"]["page_number"], + "parent_file_uuid": dict_chunk["metadata"]["parent_file_uuid"], + } + filtered_chunks.append(filtered_chunk) + + return {"output_text": response["response"], "source_documents": filtered_chunks} + + def write_rag_results(self) -> None: + """ + Format and write Redbox responses to evaluation dataset. + """ + + synthetic_df = pd.read_csv(f"{self.V_SYNTHETIC}/ragas_synthetic_data.csv") + inputs = synthetic_df["input"].tolist() + + df_function = synthetic_df.copy() + + actual_output = [] + retrieval_context = [] + + for question in inputs: + data = self.get_rag_results(question=question) + actual_output.append(data["output_text"]) + retrieval_context.append(data["source_documents"]) + + df_function["actual_output"] = actual_output + df_function["retrieval_context"] = retrieval_context + + df_function_clean = df_function.dropna() + df_function_clean.to_csv( + f"{self.V_SYNTHETIC}/{self.experiment_name}_complete_ragas_synthetic_data.csv", index=False + ) + + def do_evaluation(self) -> None: + """ + Calculate evaluation metrics for a synthetic RAGAS dataset, aggregate results + and write as CSV. + """ + + dataset = EvaluationDataset() + dataset.add_test_cases_from_csv_file( + file_path=f"{self.V_SYNTHETIC}/{self.experiment_name}_complete_ragas_synthetic_data.csv", + input_col_name="input", + actual_output_col_name="actual_output", + expected_output_col_name="expected_output", + context_col_name="context", + context_col_delimiter=";", + retrieval_context_col_name="retrieval_context", + retrieval_context_col_delimiter=";", + ) + + # Instantiate retrieval metrics + contextual_precision = ContextualPrecisionMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + contextual_recall = ContextualRecallMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + contextual_relevancy = ContextualRelevancyMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + # Instantiate generation metrics + answer_relevancy = AnswerRelevancyMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + faithfulness = FaithfulnessMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + hallucination = HallucinationMetric( + threshold=0.5, # default is 0.5 + model="gpt-4o", + include_reason=True, + ) + + self.eval_results = evaluate( + test_cases=dataset, + metrics=[ + contextual_precision, + contextual_recall, + contextual_relevancy, + answer_relevancy, + faithfulness, + hallucination, + ], + ) + + return self.eval_results + + def write_evaluation_results(self) -> None: + """ + This function writes the evaluation results to a csv, identifiable by experiment_name. + """ + metric_type = { + "metric_name": [ + "Contextual Precision", + "Contextual Recall", + "Contextual Relevancy", + "Answer Relevancy", + "Faithfulness", + "Hallucination", + ], + "metric_type": ["retrieval", "retrieval", "retrieval", "generation", "generation", "generation"], + } + + evaluation = ( + pd.DataFrame.from_records(asdict(result) for result in self.eval_results) + .explode("metrics_metadata") + .reset_index(drop=True) + .assign( + metric_name=lambda df: df.metrics_metadata.apply(getattr, args=["metric"]), + score=lambda df: df.metrics_metadata.apply(getattr, args=["score"]), + reason=lambda df: df.metrics_metadata.apply(getattr, args=["reason"]), + ) + .merge(pd.DataFrame(metric_type), on="metric_name") + .drop(columns=["success", "metrics_metadata"]) + ) + + evaluation.to_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv", index=False) + evaluation.head() + + def load_experiment_param_data( + self, + experiment_file_name=None, + benchmark=None, + ): + """ + This function loads an csv of experiments to try unless benchmark is specified; + in this case it will take the core_api retrieval_system_prompt and retrieval_question_prompt. + """ + + if benchmark: + self.benchmark = benchmark + self.experiment_file_name = "benchmark" + benchmark_df = pd.DataFrame() + benchmark_df["experiment_name"] = ["benchmark"] + benchmark_df["retrieval_system_prompt"] = [self.ENV.ai.retrieval_system_prompt] + benchmark_df["retrieval_question_prompt"] = [self.ENV.ai.retrieval_question_prompt] + self.experiment_parameters = benchmark_df + else: + self.experiment_file_name = experiment_file_name + self.experiment_parameters = pd.read_csv( + f"notebooks/evaluation/data/experiment_parameters/{self.experiment_file_name}.csv" + ) + + def loop_through_experiements(self): + """ + This function calls the other functions to run and write the different experiments. + """ + for _index, row in self.experiment_parameters.iterrows(): + self.experiment_name = row["experiment_name"] + self.retrieval_system_prompt = (row["retrieval_system_prompt"],) + self.retrieval_question_prompt = row["retrieval_question_prompt"] + + self.write_rag_results() + self.do_evaluation() + self.write_evaluation_results() + + def empirical_ci(self, df: pd.DataFrame) -> pd.DataFrame: + """ + Calculate confidence intervals for aggregated metrics. + """ + + df_grouped = ( + df.groupby(["experiment_name", "metric_name"])["score"] + .agg(["mean", "sem", "min", "max", "count"]) + .reset_index() + ) + + ci = stats.t.interval( + confidence=0.95, df=df_grouped["count"] - 1, loc=df_grouped["mean"], scale=df_grouped["sem"] + ) + + df_grouped["ci_low"] = ci[0] + df_grouped["ci_high"] = ci[1] + + return df_grouped + + def create_visualisation_plus_grouped_results(self): + """ + This function uses the stored experiment result to save the aggregated metics using empirical_ci(). + It also saves a barplot (here confidence intervals are calculated by bootstrapping). + """ + experiments = [] + experiment_names = self.experiment_parameters["experiment_name"] + for experiment_name in experiment_names: + experiment = pd.read_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv") + experiment["experiment_name"] = experiment_name + experiments.append(experiment) + + experiments_df = pd.concat(experiments) + + barplot = sns.barplot(experiments_df, x="score", y="metric_name", hue="experiment_name", errorbar=("ci", 95)) + fig = barplot.get_figure() + fig.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_boxplot.png", bbox_inches="tight") + + experiment_metrics = self.empirical_ci(experiments_df) + experiment_metrics.to_csv(f"{self.V_RESULTS}/{self.experiment_file_name}_eval_results_full.csv") + + +class Mutex(click.Option): + def __init__(self, *args, **kwargs): + self.not_required_if = kwargs.pop("not_required_if") + self.required_if_not_set = kwargs.pop("required_if_not_set", True) + + if not self.not_required_if: + msg = "'not_required_if' parameter required" + raise ValueError(msg) + + kwargs["help"] = ( + kwargs.get("help", "") + " Option is mutually exclusive with " + ", ".join(self.not_required_if) + "." + ).strip() + super().__init__(*args, **kwargs) + + def handle_parse_result(self, ctx, opts, args): + current_opt = self.name in opts + for mutex_opt in self.not_required_if: + if mutex_opt in opts: + if current_opt: + msg = f"Illegal usage: '{self.name}' is mutually exclusive with {mutex_opt}." + raise click.UsageError(msg) + self.prompt = None + + if not current_opt and self.required_if_not_set and not any(opt in opts for opt in self.not_required_if): + msg = f"Illegal usage: Either '{self.name}' or one of {', '.join(self.not_required_if)} must be provided." + raise click.UsageError(msg) + return super().handle_parse_result(ctx, opts, args) + + +@click.command() +@click.option( + "--data_version", + required=True, + type=str, + help="Specify the data version you want to use.", +) +@click.option( + "--experiment_file_name", + cls=Mutex, + not_required_if=["benchmark"], + required_if_not_set=True, + type=str, + help="Specify the experiment data file name you want to use. (CSV)", +) +@click.option( + "--benchmark", + "-b", + cls=Mutex, + not_required_if=["experiment_file_name"], + required_if_not_set=True, + is_flag=True, + help="Use the baseline rag function to get benchmarking results.", +) +def main(data_version, experiment_file_name, benchmark): + get_experiment_results = GetExperimentResults() + get_experiment_results.set_data_version(data_version) + get_experiment_results.load_experiment_param_data(experiment_file_name=experiment_file_name, benchmark=benchmark) + get_experiment_results.load_chunks_from_jsonl_to_index() + get_experiment_results.loop_through_experiements() + get_experiment_results.create_visualisation_plus_grouped_results() + get_experiment_results.clear_index() + + +if __name__ == "__main__": + main() diff --git a/notebooks/evaluation/tests/test_rag_experiments.py b/notebooks/evaluation/tests/test_rag_experiments.py new file mode 100644 index 000000000..9a6034994 --- /dev/null +++ b/notebooks/evaluation/tests/test_rag_experiments.py @@ -0,0 +1,212 @@ +import json +import sys +from pathlib import Path +from unittest import mock + +import pytest + +# Hack - wasn't picking up imports properly +sys.path.append(str(Path(__file__).parents[2])) +import tempfile +import unittest +from pathlib import Path +from unittest.mock import MagicMock, patch + +import pandas as pd +from elasticsearch import Elasticsearch +from elasticsearch.helpers import scan +from evaluation.rag_experiments import GetExperimentResults + +from redbox.models import Settings + + +@pytest.fixture() +def env(): + return Settings() + + +@pytest.fixture() +def es_client(): + with ( + mock.patch("elasticsearch.Elasticsearch.search") as mocked_search, + mock.patch("elasticsearch.client.IndicesClient.create") as mocked_index_create, + mock.patch("elasticsearch.Elasticsearch.index") as mocked_index, + mock.patch("elasticsearch.helpers.scan") as mocked_scan, + mock.patch("elasticsearch.Elasticsearch.delete_by_query") as mocked_delete_by_query, + ): + mocked_search.return_value = {"hits": {"hits": [{"_id": "1", "_source": {"field": "value"}}]}} + mocked_index_create.return_value = {"acknowledged": True} + mocked_index.return_value = {"result": "created"} + mocked_delete_by_query.return_value = {"deleted": 1} + mocked_scan.return_value = iter( + [{"_id": "1", "_source": {"field": "value"}}, {"_id": "2", "_source": {"field": "value"}}] + ) + + client = Elasticsearch(hosts=["http://localhost:9200"]) + client.indices = mock.Mock() + client.indices.create = mocked_index_create + client.search = mocked_search + client.index = mocked_index + client.delete_by_query = mocked_delete_by_query + + yield client, mocked_search, mocked_index_create, mocked_index, mocked_scan, mocked_delete_by_query + + +@pytest.mark.usefixtures("es_client") +class TestGetExperimentResults(unittest.TestCase): + @pytest.fixture(autouse=True) + def inject_fixtures(self, es_client): + ( + self.es_client, + self.mocked_search, + self.mocked_index_create, + self.mocked_index, + self.mocked_scan, + self.mocked_delete_by_query, + ) = es_client + + return es_client + + @classmethod + def setUpClass(cls): + super().setUpClass() + + def setUp(self): + self.get_experiment_results = GetExperimentResults() + self.get_experiment_results.set_data_version("0.2.3") + + self.get_experiment_results.ENV = MagicMock() + + self.get_experiment_results.ES_CLIENT = self.es_client + + self.temp_dir = tempfile.TemporaryDirectory() + self.get_experiment_results.V_RESULTS = self.temp_dir.name + + self.mock_synthetic_path = "/mock/synthetic" + self.mock_complete_ragas_file = "mock_complete_ragas_synthetic_data.csv" + self.get_experiment_results.synthetic_data_dir = self.mock_synthetic_path + + def tearDown(self): + self.temp_dir.cleanup() + + @patch("jsonlines.open") + def test_load_chunks_from_jsonl_to_index(self, mock_jsonlines_open): + mock_jsonlines_open.return_value.__enter__.return_value = iter( + [json.dumps({"uuid": "1234", "parent_file_uuid": "abcd", "data": "test data"})] + ) + + file_uuids = self.get_experiment_results.load_chunks_from_jsonl_to_index() + assert "abcd" in file_uuids + self.get_experiment_results.ES_CLIENT.index.assert_called_once() + + @patch("jsonlines.open") + def test_load_chunks_from_empty_jsonl(self, mock_jsonlines_open): + mock_jsonlines_open.return_value.__enter__.return_value = iter([]) + + result = self.get_experiment_results.load_chunks_from_jsonl_to_index() + assert result == set() + + def test_load_experiment_param_data(self): + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame( + { + "experiment_name": ["test_experiment"], + "retrieval_system_prompt": ["test_prompt"], + "retrieval_question_prompt": ["test_question_prompt"], + } + ) + + self.get_experiment_results.load_experiment_param_data("test_file") + assert self.get_experiment_results.experiment_parameters["experiment_name"][0] == "test_experiment" + + @patch("evaluation.rag_experiments.GetExperimentResults.get_rag_results") + @patch("pandas.DataFrame.to_csv") + def test_write_rag_results(self, mock_to_csv, mock_get_rag_results): + mock_get_rag_results.return_value = { + "output_text": "test_output", + "source_documents": [{"page_content": "test_content"}], + } + + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame({"input": ["test_input"]}) + self.get_experiment_results.write_rag_results() + mock_to_csv.assert_called_once() + + @patch("evaluation.rag_experiments.pd.read_csv") + @patch("evaluation.rag_experiments.evaluate") + def test_do_evaluation(self, mock_evaluate, mock_read_csv): + # Setting up the mock return value for read_csv + mock_data = pd.DataFrame({"column1": [1, 2, 3], "column2": ["a", "b", "c"]}) + mock_read_csv.return_value = mock_data + + mock_eval_result = pd.DataFrame( + { + "input": ["input1", "input2", "input3"], + "actual_output": ["output1", "output2", "output3"], + "expected_output": ["expected1", "expected2", "expected3"], + "context": [["context1"], ["context2"], ["context3"]], + "retrieval_context": [["retrieval1"], ["retrieval2"], ["retrieval3"]], + "additional_metadata": [None, None, None], + "comments": [None, None, None], + } + ) + mock_evaluate.return_value = mock_eval_result + + result = self.get_experiment_results.do_evaluation() + + assert result is not None + assert isinstance(result, pd.DataFrame) + assert result.shape == (3, 7) + + @patch("seaborn.barplot") + @patch("pandas.concat") + @patch("pandas.read_csv") + def test_create_visualisation_plus_grouped_results(self, mock_read_csv, mock_concat, mock_barplot): # noqa: ARG002 + mock_read_csv.return_value = pd.DataFrame( + {"experiment_name": ["test_experiment"], "score": [0.5], "metric_name": ["test_metric"]} + ) + mock_concat.return_value = mock_read_csv.return_value + + self.get_experiment_results.experiment_parameters = {"experiment_name": ["test_experiment"]} + self.get_experiment_results.create_visualisation_plus_grouped_results() + + @patch("pandas.read_csv") + def test_create_visualisation_empty_data(self, mock_read_csv): + mock_read_csv.return_value = pd.DataFrame() + self.get_experiment_results.experiment_parameters = {"experiment_name": []} + + with pytest.raises(ValueError): # noqa: PT011 + self.get_experiment_results.create_visualisation_plus_grouped_results() + + @patch("jsonlines.open") + def test_clear_index(self, mock_jsonlines_open): + with patch("pandas.read_csv") as mock_read_csv: + mock_read_csv.return_value = pd.DataFrame( + { + "experiment_name": ["test_experiment"], + "retrieval_system_prompt": ["test_prompt"], + "retrieval_question_prompt": ["test_question_prompt"], + } + ) + + self.get_experiment_results.load_experiment_param_data("test_file") + + mock_jsonlines_open.return_value.__enter__.return_value = iter( + [json.dumps({"uuid": "1234", "parent_file_uuid": "abcd", "data": "test data"})] + ) + + self.get_experiment_results.load_chunks_from_jsonl_to_index() + + self.get_experiment_results.ES_CLIENT.index.assert_called_once() + + self.get_experiment_results.clear_index() + documents_after_clear = list( + scan(self.get_experiment_results.ES_CLIENT, query={"query": {"match_all": {}}}) + ) + assert len(documents_after_clear) == 0 + + self.get_experiment_results.clear_index() + + +if __name__ == "__main__": + unittest.main() diff --git a/poetry.lock b/poetry.lock index d13ec4a80..fb89a3502 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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56898fd273c796483d11a5c663c76765883d1b38 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Fri, 26 Jul 2024 14:08:32 +0100 Subject: [PATCH 055/153] feat: add llm_max_tokens parameter to openAI function --- core_api/src/dependencies.py | 1 + 1 file changed, 1 insertion(+) diff --git a/core_api/src/dependencies.py b/core_api/src/dependencies.py index fd477fb77..5bba57992 100644 --- a/core_api/src/dependencies.py +++ b/core_api/src/dependencies.py @@ -121,6 +121,7 @@ def get_llm(env: Annotated[Settings, Depends(get_env)]) -> ChatLiteLLM: openai_key=env.openai_api_key, callbacks=[logger_callback], model=env.openai_model, + max_tokens=env.llm_max_tokens, ) elif env.azure_openai_api_key is not None: log.info("Creating Azure LLM Client") From 57998b67dac0874b074e0e4d5dbc17e916478be8 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Mon, 29 Jul 2024 11:32:09 +0100 Subject: [PATCH 056/153] fix: syntax correction and removing redundant logs --- django_app/redbox_app/settings.py | 2 +- notebooks/evaluation/Dockerfile | 6 +++--- notebooks/evaluation/analysis_of_chat_history.py | 5 ----- 3 files changed, 4 insertions(+), 9 deletions(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index d4fb5384d..5dfbc01d5 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -178,7 +178,7 @@ ) CSP_STYLE_SRC = ("'self'",) CSP_FRAME_ANCESTORS = ("'none'",) -CSP_FRAME_SRC = ("'self'", env.str("STREAMLIT_HOST")) +CSP_FRAME_SRC = ("'self'", f"http://{env.str('STREAMLIT_HOST')}") CSP_CONNECT_SRC = ["'self'", f"wss://{env_hosts[0]}/ws/chat/", "plausible.io"] # https://pypi.org/project/django-permissions-policy/ diff --git a/notebooks/evaluation/Dockerfile b/notebooks/evaluation/Dockerfile index f49b25940..0fbed9c76 100644 --- a/notebooks/evaluation/Dockerfile +++ b/notebooks/evaluation/Dockerfile @@ -1,6 +1,6 @@ FROM python:3.11-buster as builder -WORKDIR /app/ +WORKDIR /app RUN pip install poetry @@ -26,7 +26,7 @@ COPY notebooks/evaluation/app.py /app/ FROM python:3.11-slim as runtime -WORKDIR /app/ +WORKDIR /app RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null @@ -41,4 +41,4 @@ COPY --from=builder /app/django_app /app/django_app EXPOSE 8501 -CMD ["streamlit", "run", "notebooks/evaluation/app.py", "--server.port=8501", "--server.address=0.0.0.0"] +ENTRYPOINT ["streamlit", "run", "notebooks/evaluation/app.py", "--server.port=8501", "--server.address=0.0.0.0"] diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index ed7f2a4aa..9481c38cf 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -41,11 +41,6 @@ def __init__(self) -> None: os.makedirs(self.table_dir, exist_ok=True) self.chat_logs = self.fetch_chat_history() - import logging - logging.basicConfig(level=logging.INFO) - logger = logging.getLogger() - logger.info('hello123456') - logger.info(self.chat_logs.columns.values) # Select specific columns and converting to readable timestamp self.chat_logs = self.chat_logs[['created_at', 'users_id', 'user_email', 'chat_history', 'text', 'role', 'message_id']] From 6842104103d53d6cd21e8542295f2ca6bd3d16fc Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 31 Jul 2024 18:17:44 +0100 Subject: [PATCH 057/153] poetry lock --- django_app/poetry.lock | 382 ++++++++++++++++++++--------------------- 1 file changed, 184 insertions(+), 198 deletions(-) diff --git a/django_app/poetry.lock b/django_app/poetry.lock index e59bfdd4a..bda60e9d4 100644 --- a/django_app/poetry.lock +++ b/django_app/poetry.lock @@ -16,13 +16,13 @@ tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"] [[package]] name = "astroid" -version = "3.2.2" +version = "3.2.4" description = "An abstract syntax tree for Python with inference support." optional = false python-versions = ">=3.8.0" files = [ - {file = 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"sha256:35bc76faacf1667d3fbb66c1966acf2230ef26206557efc26d9d9d79337bef43"}, + {file = "boto3-1.34.151.tar.gz", hash = "sha256:30498a76b6f651ee2af7ae8edc1704379279ab8b91f1a8dd1f4ddf51259b0bc2"}, ] [package.dependencies] -botocore = ">=1.34.142,<1.35.0" +botocore = ">=1.34.151,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -173,13 +173,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "boto3-stubs" -version = "1.34.142" -description = "Type annotations for boto3 1.34.142 generated with mypy-boto3-builder 7.25.0" +version = "1.34.151" +description = "Type annotations for boto3 1.34.151 generated with mypy-boto3-builder 7.25.0" optional = false python-versions = ">=3.8" files = [ - {file = "boto3_stubs-1.34.142-py3-none-any.whl", hash = "sha256:ee6eac801a2526c53bd6db9598006d81f706e9d657e44462c6029599de17719e"}, - {file = "boto3_stubs-1.34.142.tar.gz", hash = "sha256:95befc163b5cac317f163a6be656c07c062cdddd22f100898f7abf00a9fa5c81"}, + {file = "boto3_stubs-1.34.151-py3-none-any.whl", hash = "sha256:7c74775d5bca4693c9695526b95c80a572d6e1bf8059249698abff9596268671"}, + {file = "boto3_stubs-1.34.151.tar.gz", hash = "sha256:8422368138fb74afb7c11965677726000c4d24b7b3b872d414f5c706372bf94f"}, ] [package.dependencies] @@ -191,7 +191,7 @@ accessanalyzer = ["mypy-boto3-accessanalyzer (>=1.34.0,<1.35.0)"] account = ["mypy-boto3-account (>=1.34.0,<1.35.0)"] acm = ["mypy-boto3-acm (>=1.34.0,<1.35.0)"] acm-pca = ["mypy-boto3-acm-pca (>=1.34.0,<1.35.0)"] -all = ["mypy-boto3-accessanalyzer (>=1.34.0,<1.35.0)", "mypy-boto3-account (>=1.34.0,<1.35.0)", "mypy-boto3-acm (>=1.34.0,<1.35.0)", "mypy-boto3-acm-pca (>=1.34.0,<1.35.0)", "mypy-boto3-amp (>=1.34.0,<1.35.0)", "mypy-boto3-amplify (>=1.34.0,<1.35.0)", "mypy-boto3-amplifybackend (>=1.34.0,<1.35.0)", "mypy-boto3-amplifyuibuilder (>=1.34.0,<1.35.0)", "mypy-boto3-apigateway (>=1.34.0,<1.35.0)", "mypy-boto3-apigatewaymanagementapi (>=1.34.0,<1.35.0)", "mypy-boto3-apigatewayv2 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hash = "sha256:8763840497b817d44c49b3fe3f5f7388d083f2337ffedf008b2cdb63b5c86dc6"}, ] [package.dependencies] @@ -2831,7 +2816,7 @@ langchain = ["langchain (>=0.0.210)"] loguru = ["loguru (>=0.5)"] openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"] opentelemetry = ["opentelemetry-distro (>=0.35b0)"] -opentelemetry-experimental = ["opentelemetry-instrumentation-aio-pika (==0.46b0)", "opentelemetry-instrumentation-aiohttp-client (==0.46b0)", "opentelemetry-instrumentation-aiopg (==0.46b0)", "opentelemetry-instrumentation-asgi (==0.46b0)", "opentelemetry-instrumentation-asyncio (==0.46b0)", "opentelemetry-instrumentation-asyncpg (==0.46b0)", "opentelemetry-instrumentation-aws-lambda (==0.46b0)", "opentelemetry-instrumentation-boto (==0.46b0)", "opentelemetry-instrumentation-boto3sqs (==0.46b0)", "opentelemetry-instrumentation-botocore (==0.46b0)", "opentelemetry-instrumentation-cassandra (==0.46b0)", "opentelemetry-instrumentation-celery (==0.46b0)", 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["pyspark (>=2.4.4)"] @@ -2869,18 +2854,19 @@ tests = ["coverage[toml] (>=5.0.2)", "pytest"] [[package]] name = "setuptools" -version = "70.3.0" +version = "72.1.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.8" files = [ - {file = "setuptools-70.3.0-py3-none-any.whl", hash = "sha256:fe384da74336c398e0d956d1cae0669bc02eed936cdb1d49b57de1990dc11ffc"}, - {file = "setuptools-70.3.0.tar.gz", hash = "sha256:f171bab1dfbc86b132997f26a119f6056a57950d058587841a0082e8830f9dc5"}, + {file = "setuptools-72.1.0-py3-none-any.whl", hash = "sha256:5a03e1860cf56bb6ef48ce186b0e557fdba433237481a9a625176c2831be15d1"}, + {file = "setuptools-72.1.0.tar.gz", hash = "sha256:8d243eff56d095e5817f796ede6ae32941278f542e0f941867cc05ae52b162ec"}, ] [package.extras] +core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "ordered-set (>=3.1.1)", "packaging (>=24)", 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"filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.11.*)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (<0.4)", "pytest-ruff (>=0.2.1)", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] [[package]] name = "six" @@ -2906,13 +2892,13 @@ files = [ [[package]] name = "sqlparse" -version = "0.5.0" +version = "0.5.1" description = "A non-validating SQL parser." optional = false python-versions = ">=3.8" files = [ - {file = "sqlparse-0.5.0-py3-none-any.whl", hash = "sha256:c204494cd97479d0e39f28c93d46c0b2d5959c7b9ab904762ea6c7af211c8663"}, - {file = "sqlparse-0.5.0.tar.gz", hash = "sha256:714d0a4932c059d16189f58ef5411ec2287a4360f17cdd0edd2d09d4c5087c93"}, + {file = "sqlparse-0.5.1-py3-none-any.whl", hash = "sha256:773dcbf9a5ab44a090f3441e2180efe2560220203dc2f8c0b0fa141e18b505e4"}, + {file = "sqlparse-0.5.1.tar.gz", hash = "sha256:bb6b4df465655ef332548e24f08e205afc81b9ab86cb1c45657a7ff173a3a00e"}, ] [package.extras] @@ -3061,13 +3047,13 @@ twisted = ["twisted (>=20.3.0)", "zope.interface (>=5.2.0)"] [[package]] name = "types-awscrt" -version = "0.21.0" +version = "0.21.2" description = "Type annotations and code completion for awscrt" optional = false python-versions = "<4.0,>=3.7" files = [ - {file = "types_awscrt-0.21.0-py3-none-any.whl", hash = "sha256:026f882d4d23f04c5b2ab08d6fefd627842537009cd00e9f78dd4960314d51aa"}, - {file = "types_awscrt-0.21.0.tar.gz", hash = "sha256:06aa247fe5ccf0b86428e5289aeabf67f967e10861f211c16c19e7d2542a70a9"}, + {file = "types_awscrt-0.21.2-py3-none-any.whl", hash = "sha256:0839fe12f0f914d8f7d63ed777c728cb4eccc2d5d79a26e377d12b0604e7bf0e"}, + {file = "types_awscrt-0.21.2.tar.gz", hash = "sha256:84a9f4f422ec525c314fdf54c23a1e73edfbcec968560943ca2d41cfae623b38"}, ] [[package]] @@ -3520,4 +3506,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = "c86ba32b6596b456ff2c252df27d29e4d78b91b3900d6efe40a98efcb430ffda" +content-hash = "d59ea9bf051c9699c0006185956bfe52c9149c00e4b136655e532304eb4eb665" From 765b855c4bcc105ff8545591a453e946b3816d87 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 31 Jul 2024 18:27:17 +0100 Subject: [PATCH 058/153] temp dockerfile fix --- django_app/Dockerfile | 31 +++++++++++++++++++------------ 1 file changed, 19 insertions(+), 12 deletions(-) diff --git a/django_app/Dockerfile b/django_app/Dockerfile index d9836846a..bb1ff401f 100644 --- a/django_app/Dockerfile +++ b/django_app/Dockerfile @@ -14,27 +14,30 @@ RUN npx parcel build # poetry -FROM python:3.12-slim AS poetry-packages +# FROM python:3.12-slim AS poetry-packages -RUN apt-get update && apt-get install --yes build-essential > /dev/null +# RUN apt-get update && apt-get install --yes build-essential > /dev/null -RUN pip install poetry poetry-plugin-bundle +# RUN pip install poetry poetry-plugin-bundle -WORKDIR /src +# WORKDIR /src -COPY django_app/pyproject.toml . -COPY django_app/poetry.lock . +# COPY django_app/pyproject.toml . +# COPY django_app/poetry.lock . -# do this so that poetry bundle can run without the project - can't pass --no-root to bundle -#RUN touch README.md -RUN poetry install -RUN poetry bundle venv ./venv +# # do this so that poetry bundle can run without the project - can't pass --no-root to bundle +# #RUN touch README.md +# RUN poetry install +# RUN poetry bundle venv ./venv # app FROM python:3.12-slim -RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null +RUN apt-get update && apt-get install --yes build-essential libpq-dev curl > /dev/null + +#temp line +RUN pip install poetry poetry-plugin-bundle WORKDIR /usr/src/app @@ -42,7 +45,11 @@ COPY django_app/ . COPY --from=npm-packages /src/node_modules/ frontend/node_modules/ COPY --from=npm-packages /src/dist/ frontend/dist/ -COPY --from=poetry-packages /src/venv ./venv +#COPY --from=poetry-packages /src/venv ./venv +# temp lines (2) +RUN poetry install +RUN poetry bundle venv ./venv + ENV DJANGO_SETTINGS_MODULE='redbox_app.settings' ENV PYTHONPATH "${PYTHONPATH}:/." From 7d9a0c6405cfb1a79c37283390cea89f47314463 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Thu, 1 Aug 2024 09:29:56 +0100 Subject: [PATCH 059/153] docker file fix keeping layers (thanks Tash) --- django_app/Dockerfile | 44 ++++++++++++++++++++++--------------------- 1 file changed, 23 insertions(+), 21 deletions(-) diff --git a/django_app/Dockerfile b/django_app/Dockerfile index bb1ff401f..c8e9a4768 100644 --- a/django_app/Dockerfile +++ b/django_app/Dockerfile @@ -14,42 +14,44 @@ RUN npx parcel build # poetry -# FROM python:3.12-slim AS poetry-packages +FROM python:3.12-slim AS poetry-packages -# RUN apt-get update && apt-get install --yes build-essential > /dev/null +RUN apt-get update && apt-get install --yes build-essential > /dev/null -# RUN pip install poetry poetry-plugin-bundle +RUN pip install poetry poetry-plugin-bundle -# WORKDIR /src +WORKDIR /src + +COPY django_app/pyproject.toml . +COPY django_app/poetry.lock . + +# do this so that poetry bundle can run without the project - can't pass --no-root to bundle +# RUN touch README.md +RUN poetry install -# COPY django_app/pyproject.toml . -# COPY django_app/poetry.lock . +# Diagnostic step to check the installation +RUN ls -al /src -# # do this so that poetry bundle can run without the project - can't pass --no-root to bundle -# #RUN touch README.md -# RUN poetry install -# RUN poetry bundle venv ./venv +# Create the virtual environment using a traditional method as an alternative +RUN python -m venv /src/venv +# Activate the virtual environment and install dependencies +RUN . /src/venv/bin/activate && poetry export -f requirements.txt --output requirements.txt && pip install -r requirements.txt + +# Diagnostic step to check if venv is created +RUN ls -al /src/venv # app FROM python:3.12-slim -RUN apt-get update && apt-get install --yes build-essential libpq-dev curl > /dev/null - -#temp line -RUN pip install poetry poetry-plugin-bundle +RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null WORKDIR /usr/src/app COPY django_app/ . COPY --from=npm-packages /src/node_modules/ frontend/node_modules/ -COPY --from=npm-packages /src/dist/ frontend/dist/ -#COPY --from=poetry-packages /src/venv ./venv -# temp lines (2) -RUN poetry install -RUN poetry bundle venv ./venv - +COPY --from=poetry-packages /src/venv ./venv ENV DJANGO_SETTINGS_MODULE='redbox_app.settings' ENV PYTHONPATH "${PYTHONPATH}:/." @@ -57,4 +59,4 @@ ENV PYTHONPATH "${PYTHONPATH}:/." EXPOSE 8090 RUN chmod +x start.sh -CMD ["./start.sh"] +CMD ["./start.sh"] \ No newline at end of file From 44a8b5f1d96950d35de24b8b572f237c37b2b1a7 Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Thu, 1 Aug 2024 09:49:07 +0100 Subject: [PATCH 060/153] Separating data transformations with plot generation, added anonymity toggle and username processing --- .../evaluation/analysis_of_chat_history.py | 327 ++++++++++-------- notebooks/evaluation/app.py | 24 +- 2 files changed, 204 insertions(+), 147 deletions(-) diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index 9481c38cf..9e14db34b 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -1,4 +1,3 @@ -import glob import inspect import os import re @@ -8,25 +7,33 @@ import matplotlib as mpl import matplotlib.pyplot as plt -import numpy as np import pandas as pd import seaborn as sns from bertopic import BERTopic from django.db.models import F, Prefetch -from regex import D from wordcloud import STOPWORDS, WordCloud -packages = ["django-environ", "django-use-email-as-username", 'psycopg2-binary', 'django-magic-link', 'django-single-session', 'django-compressor', 'django-import-export', 'django-storages', 'daphne', 'django-allauth'] -import pip +# packages = [ +# "django-environ", +# "django-use-email-as-username", +# "psycopg2-binary", +# "django-magic-link", +# "django-single-session", +# "django-compressor", +# "django-import-export", +# "django-storages", +# "daphne", +# "django-allauth", +# ] +# import pip -for package in packages: - pip.main(['install', package]) +# for package in packages: +# pip.main(["install", package]) -import django -django.setup() +# django.setup() -from redbox_app.redbox_core.models import ChatHistory, ChatMessage +# from redbox_app.redbox_core.models import ChatHistory, ChatMessage class ChatHistoryAnalysis: @@ -40,20 +47,32 @@ def __init__(self) -> None: os.makedirs(self.visualisation_dir, exist_ok=True) os.makedirs(self.table_dir, exist_ok=True) - self.chat_logs = self.fetch_chat_history() + # Commenting out this whilst testing with just data dump + + # self.chat_logs = self.fetch_chat_history() + self.chat_logs = pd.read_csv("notebooks/evaluation/data/chat_histories/chathistory.csv") + # This column dictionary will change keys depending on names given in data frame structure + COLUMNS_DICT = { + "modified_at": "created_at", + "id": "message_id", + "users": "user_email", + "role": "role", + "text": "text", + } + + TEAM_EMAILS = ["alfie.dennen@trade.gov.uk", "isobel.daley@trade.gov.uk"] + + # TODO: Add row to map column headings to new streamlined ones # Select specific columns and converting to readable timestamp - self.chat_logs = self.chat_logs[['created_at', 'users_id', 'user_email', 'chat_history', 'text', 'role', 'message_id']] - self.chat_logs['created_at'] = pd.to_datetime(self.chat_logs['created_at']) - - # Create function for toggle to anonymise users - # chat_log_users = self.chat_logs['users'].unique() - # n_users = len(chat_log_users) - # anon_users = [] - # for i in range(1,n_users+1): - # anon_users.append(f"User {i}") - # anon_user_dict = dict(zip(chat_log_users, anon_users)) - # self.chat_logs['users'] = self.chat_logs['users'].map(anon_user_dict) + self.chat_logs = self.chat_logs[list(COLUMNS_DICT.keys())] + # Note I tried the following with .rename() and it did not work. + self.chat_logs.columns = [COLUMNS_DICT[col] if col in COLUMNS_DICT else col for col in self.chat_logs.columns] + + # self.chat_logs = self.chat_logs[['created_at', 'users_id', 'user_email', 'chat_history', 'text', 'role', 'message_id']] + self.chat_logs["created_at"] = pd.to_datetime(self.chat_logs["created_at"]) + # Remove users that are redbox team + self.chat_logs = self.chat_logs[~self.chat_logs["user_email"].isin(TEAM_EMAILS)] self.ai_responses = self.chat_logs[self.chat_logs["role"] == "ai"] self.user_responses = self.chat_logs[self.chat_logs["role"] == "user"] @@ -75,31 +94,47 @@ def __init__(self) -> None: mpl.rcParams.update({"font.size": 10}) mpl.rcParams.update({"font.family": "Arial"}) + def anonymise_users(self): + """ + If toggle switched in streamlit app then users are anonymised. + """ + chat_log_users = self.chat_logs["user_email"].unique() + n_users = len(chat_log_users) + anon_users = [] + for i in range(1, n_users + 1): + anon_users.append(f"User {i}") + anon_user_dict = dict(zip(chat_log_users, anon_users, strict=False)) + self.chat_logs["user_email"] = self.chat_logs["user_email"].map(anon_user_dict) + self.ai_responses["user_email"] = self.ai_responses["user_email"].map(anon_user_dict) + self.user_responses["user_email"] = self.user_responses["user_email"].map(anon_user_dict) + def fetch_chat_history(self, limit=100): chat_messages = ChatMessage.objects.all() - chat_history_objects = ChatHistory.objects.prefetch_related( - Prefetch('messages', queryset=chat_messages) - ).annotate( - user_email=F('users__email') - ).values( - 'created_at', - 'users_id', - 'user_email', - chat_history=F('id'), - )[:limit] + chat_history_objects = ( + ChatHistory.objects.prefetch_related(Prefetch("messages", queryset=chat_messages)) + .annotate(user_email=F("users__email")) + .values( + "created_at", + "users_id", + "user_email", + chat_history=F("id"), + )[:limit] + ) results = [] for chat_history in chat_history_objects: - messages = ChatMessage.objects.filter(chat_history=chat_history['chat_history']).values('text', 'role', 'id') + messages = ChatMessage.objects.filter(chat_history=chat_history["chat_history"]).values( + "text", "role", "id" + ) for message in messages: result = { - 'created_at': chat_history['created_at'], - 'users_id': chat_history['users_id'], - 'user_email': chat_history['user_email'], - 'chat_history': chat_history['chat_history'], - 'text': message['text'], - 'role': message['role'], - 'message_id': message['id'] + "created_at": chat_history["created_at"], + "users_id": chat_history["users_id"], + "user_email": chat_history["user_email"], + "chat_history": chat_history["chat_history"], + "text": message["text"], + "role": message["role"], + "message_id": message["id"], } results.append(result) @@ -111,7 +146,7 @@ def preprocess_text(self, text): tokens = [word.lower() for word in tokens if word.isalpha()] return tokens - def process_user_names(self, user_names_column): + def process_user_names(self, user_names_column: pd.Series) -> pd.Series: # TODO: Use this function across the board when displaying User Names. Decide whether surname is needed. """ Takes a pandas column and returns a dictionary of key value pairs for the tidy name. @@ -121,135 +156,130 @@ def process_user_names(self, user_names_column): unique_user_email = user_names_column.unique() unique_user_names = [user_email.split("@")[0].replace(".", " ").title() for user_email in unique_user_email] user_name_dict = dict(zip(unique_user_email, unique_user_names, strict=False)) - return user_name_dict - - # 1) Who uses Redbox the most? - def user_frequency_analysis(self): - user_counts = self.user_responses["user_email"].value_counts() - - user_name = [user_email.split("@")[0].replace(".", " ").title() for user_email in user_counts.index] - wrapped_user_name = ["\n".join(textwrap.wrap(name, width=10)) for name in user_name] + new_user_names_column = user_names_column.map(user_name_dict) + print(type(new_user_names_column)) + return new_user_names_column - # Table - table_data = {"Name": user_name, "Email": user_counts.index, "Number of times used": user_counts.values} - table_dataframe = pd.DataFrame(data=table_data, index=user_name) - table_dataframe.to_csv(f"{self.table_dir}top_users.csv", index=False) + def get_user_frequency(self) -> pd.DataFrame: + """ + Creates a data frame of total inputs by user. + """ + user_counts = self.user_responses["user_email"].value_counts().reset_index(name="values") + user_counts["user_email"] = self.process_user_names(user_counts.user_email) + return user_counts - # Barplot + def plot_user_frequency(self): + """ + Generates a bar plot of total inputs per user. + """ + user_counts = self.get_user_frequency() plt.figure(figsize=self.figsize) - sns.barplot(x=wrapped_user_name, y=user_counts.values, palette="viridis") - - plt.xticks(ha="right", size=9) + sns.barplot(data=user_counts, x="user_email", y="values", palette="viridis") plt.title("Unique Users by Total Number of Messages") + xlabels = user_counts.user_email + xlabels_new = ["\n".join(textwrap.wrap(name, width=10)) for name in xlabels] + plt.xticks(range(len(xlabels_new)), xlabels_new) plt.xlabel("Users") plt.ylabel("Total No. of Prompts") - top_users_path = os.path.join(self.visualisation_dir, "top_users.png") - plt.savefig(top_users_path) - # 2) Redbox traffic analysis - def redbox_traffic_analysis(self): - # think about GA integration? - self.chat_logs["date"] = self.user_responses["created_at"].dt.date - date_counts = self.chat_logs["date"].value_counts().sort_index() + def get_redbox_traffic(self) -> pd.DataFrame: + """ + Returns a dataframe of redbox usage by time. + """ + redbox_traffic_df = ( + self.user_responses["created_at"].groupby(by=self.user_responses["created_at"].dt.date).count() + ) - # Table - table_data = {"Date": date_counts.index, "Usage": date_counts.values} - table_dataframe = pd.DataFrame(data=table_data) - table_dataframe.to_csv(f"{self.table_dir}usage_of_redbox_ai_over_time.csv", index=False) + return redbox_traffic_df - # Line graph + def plot_redbox_traffic(self): + """ + Generates a line plot of redbox usage over time + """ + redbox_traffic_df = self.get_redbox_traffic() plt.figure(figsize=self.figsize) - date_counts.plot(kind="line") + redbox_traffic_df.plot(kind="line") plt.title("Usage of Redbox AI Over Time") plt.xlabel("Date") plt.ylabel("Number of Prompts") - conversation_frequency_path = os.path.join(self.visualisation_dir, "usage_of_redbox_ai_over_time.png") - plt.savefig(conversation_frequency_path) - def redbox_traffic_by_user(self): + def get_redbox_traffic_by_user(self) -> pd.DataFrame: """ - Plotting how each users usage has changed over time + Returns a dataframe of redbox usage by user over time. """ - user_responses_df = self.user_responses - user_dict = self.process_user_names(user_responses_df.user_email) - user_responses_df["user_email"] = user_responses_df["user_email"].map(user_dict) - # TODO: Ensure created_at column is changed to modified_at column in live version. - pivot_user_time = ( - user_responses_df[["created_at", "user_email"]] - .groupby(pd.Grouper(key="created_at", axis=0, freq="2D", sort=True)) - .value_counts() - .reset_index(name="count") - .pivot(index="created_at", columns="user_email", values="count") + user_responses = self.user_responses + user_responses["user_email"] = self.process_user_names(user_responses["user_email"]) + redbox_traffic_by_user_df = ( + user_responses.groupby([user_responses["created_at"].dt.date, "user_email"]).size().unstack(fill_value=0) ) - fig = sns.lineplot(data=pivot_user_time, markers=True) + + return redbox_traffic_by_user_df + + def plot_redbox_traffic_by_user(self): + """ + Generates a plot of redbox usage by user over time + """ + redbox_traffic_by_user_df = self.get_redbox_traffic_by_user() + plt.figure(figsize=self.figsize) + fig = sns.lineplot(data=redbox_traffic_by_user_df, markers=True) fig.set_xlabel("Date") fig.set_ylabel("No. of Prompts") - # fig.tick_params(axis='x', rotation=90) - sns.move_legend(fig, "upper left", bbox_to_anchor=(1, 1), title="Users") fig.set_title("Usage of Redbox by User over Time") + sns.move_legend(fig, "upper left", bbox_to_anchor=(1, 1), title="Users") - # 3) Which words are used the most frequently by USERS? - def user_word_frequency_analysis(self): + def get_user_word_frequency(self) -> pd.DataFrame: + """ + Returns a dataframe with word frequency, removing stopwords. + """ all_tokens = [token for tokens in self.user_responses["tokens"] for token in tokens] - - # far too many stopwords and wordcloud has a lovely constant attached to resolve this stopwords_removed_from_all_tokens = [word for word in all_tokens if word not in STOPWORDS] - word_freq = Counter(stopwords_removed_from_all_tokens) - most_common_words = word_freq.most_common( - 20 - ) # TODO - determine how many common words we want and the right vis. for this - words, counts = zip(*most_common_words, strict=False) + return word_freq - # Table - table_data = {"Word": list(word_freq.keys()), "Frequency": list(word_freq.values())} - table_dataframe = pd.DataFrame(data=table_data).sort_values("Frequency", ascending=False) - table_dataframe.to_csv(f"{self.table_dir}user_most_frequent_words_table.csv", index=False) + def get_ai_word_frequency(self) -> pd.DataFrame: + """ + Returns a dataframe with word frequency, removing stopwords. + """ + ai_word_freq = Counter( + [token for tokens in self.ai_responses["tokens"] for token in tokens if token not in STOPWORDS] + ) + return ai_word_freq - # Barplot - plt.figure(figsize=self.figsize) - sns.barplot(x=list(counts), y=list(words), palette="viridis") - plt.title("Top 20 Most Frequent Words") - plt.xlabel("Frequency") - plt.ylabel("Words") - barplot_path = os.path.join(self.visualisation_dir, "user_most_frequent_words_barplot.png") - plt.savefig(barplot_path) + def plot_user_wordcloud(self): + """ + Creates wordcloud of user prompts. + """ + word_freq = self.get_user_word_frequency() - # Wordcloud - TODO - assess value + # TODO: assess value wordcloud = WordCloud(width=800, height=400, background_color="white").generate_from_frequencies(word_freq) plt.figure(figsize=self.figsize) plt.imshow(wordcloud, interpolation="bilinear") plt.axis("off") plt.title("Most Frequent Words") - wordcloud_path = os.path.join(self.visualisation_dir, "user_most_frequent_words.png") - plt.savefig(wordcloud_path) - # 4) Which words are used the most frequently by AI? - def ai_word_frequency_analysis(self): - ai_word_freq = Counter( - [token for tokens in self.ai_responses["tokens"] for token in tokens if token not in STOPWORDS] + def plot_top_user_word_frequency(self): + """ + Creates bar plot of most common user words. + """ + word_freq = self.get_user_word_frequency() + most_common_words = word_freq.most_common( + 20 # TODO - determine how many common words we want and the right vis. for this ) - most_common_words = ai_word_freq.most_common( - 20 - ) # TODO - determine how many common words we want and the right vis. for this words, counts = zip(*most_common_words, strict=False) - - # Table - table_data = {"Word": list(ai_word_freq.keys()), "Frequency": list(ai_word_freq.values())} - table_dataframe = pd.DataFrame(data=table_data).sort_values("Frequency", ascending=False) - table_dataframe.to_csv(f"{self.table_dir}ai_most_frequent_words_table.csv", index=False) - - # Barplot plt.figure(figsize=self.figsize) sns.barplot(x=list(counts), y=list(words), palette="viridis") plt.title("Top 20 Most Frequent Words") plt.xlabel("Frequency") plt.ylabel("Words") - barplot_path = os.path.join(self.visualisation_dir, "ai_most_frequent_words_barplot.png") - plt.savefig(barplot_path) - # Wordcloud - TODO - assess value + def plot_ai_wordcloud(self): + """ + Creates wordcloud of AI outputs. + """ + ai_word_freq = self.get_ai_word_frequency() + # TODO - assess value ai_wordcloud = WordCloud(width=800, height=400, background_color="white").generate_from_frequencies( ai_word_freq ) @@ -257,8 +287,23 @@ def ai_word_frequency_analysis(self): plt.imshow(ai_wordcloud, interpolation="bilinear") plt.axis("off") plt.title("Most Frequent Words in AI Responses") - ai_wordcloud_path = os.path.join(self.visualisation_dir, "ai_most_frequent_words.png") - plt.savefig(ai_wordcloud_path) + + def plot_top_ai_word_frequency(self): + """ + Creates bar plot of most common user words. + """ + ai_word_freq = self.get_ai_word_frequency() + + most_common_words = ai_word_freq.most_common( + 20 + ) # TODO - determine how many common words we want and the right vis. for this + + words, counts = zip(*most_common_words, strict=False) + plt.figure(figsize=self.figsize) + sns.barplot(x=list(counts), y=list(words), palette="viridis") + plt.title("Top 20 Most Frequent Words") + plt.xlabel("Frequency") + plt.ylabel("Words") # 5) Is there a clear pattern behind AI responses? def ai_response_pattern_analysis(self): @@ -329,7 +374,9 @@ def get_route_transitions(self, df): # In what way are users switching between routes? def route_transitions(self): # Get route transitions and counts per user session (is 'id' appropriate?) - df_transitions = self.user_responses.groupby("message_id").apply(self.get_route_transitions).reset_index(drop=True) + df_transitions = ( + self.user_responses.groupby("message_id").apply(self.get_route_transitions).reset_index(drop=True) + ) transition_counts = df_transitions["transition"].value_counts().reset_index() @@ -412,16 +459,22 @@ def get_prompt_length_vs_chat_length(self, outlier_max: int): .rename(columns={"no_input_words": "mean_input_words"}) .reset_index() ) - no_inputs_df = user_responses_df[["message_id", "user_email"]].groupby("message_id").value_counts().reset_index(name="no_inputs") - compare_inputs_words_df = no_inputs_df.merge(mean_inputs_df, left_on=["message_id", "user_email"], right_on=["message_id", "user_email"]) + no_inputs_df = ( + user_responses_df[["message_id", "user_email"]] + .groupby("message_id") + .value_counts() + .reset_index(name="no_inputs") + ) + compare_inputs_words_df = no_inputs_df.merge( + mean_inputs_df, left_on=["message_id", "user_email"], right_on=["message_id", "user_email"] + ) return compare_inputs_words_df def vis_prompt_length_vs_chat_legnth(self, outlier_max: int): compare_inputs_words_df = self.get_prompt_length_vs_chat_length(outlier_max=outlier_max) - user_dict = self.process_user_names(compare_inputs_words_df.user_email) - compare_inputs_words_df["user_email"] = compare_inputs_words_df["user_email"].map(user_dict) - fig = sns.scatterplot(data=compare_inputs_words_df, x="no_inputs", y="mean_input_words", hue="users") + compare_inputs_words_df["user_email"] = self.process_user_names(compare_inputs_words_df.user_email) + fig = sns.scatterplot(data=compare_inputs_words_df, x="no_inputs", y="mean_input_words", hue="user_email") fig.set_xlabel("No. of prompts") fig.set_ylabel("Mean length of prompt") fig.set_title("Scatter plot comparing number of prompts with the length of prompt for each user session") @@ -440,4 +493,4 @@ def main(): if __name__ == "__main__": - main() \ No newline at end of file + main() diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py index 804179aa0..4f95ca1b0 100644 --- a/notebooks/evaluation/app.py +++ b/notebooks/evaluation/app.py @@ -1,11 +1,16 @@ import streamlit as st - from analysis_of_chat_history import ChatHistoryAnalysis +cha = ChatHistoryAnalysis() + st.set_page_config(page_title="Redbox Chat Analysis", layout="centered") st.set_option("deprecation.showPyplotGlobalUse", False) st.title("Redbox Chat History Dashboard") +on = st.toggle("Anonymise Users") +if on: + cha.anonymise_users() + user_usage_tab, word_freq_tab, route_tab, topic_tab, prompt_complex = st.tabs( [ "Redbox User Usage", @@ -16,24 +21,23 @@ ] ) -cha = ChatHistoryAnalysis() - with user_usage_tab: - st.pyplot(cha.user_frequency_analysis()) - st.pyplot(cha.redbox_traffic_analysis()) - st.pyplot(cha.redbox_traffic_by_user()) + st.pyplot(cha.plot_user_frequency()) + st.pyplot(cha.plot_redbox_traffic()) + st.pyplot(cha.plot_redbox_traffic_by_user()) with word_freq_tab: st.subheader("User") - st.pyplot(cha.user_word_frequency_analysis()) + st.pyplot(cha.plot_user_wordcloud()) + st.pyplot(cha.plot_top_user_word_frequency()) st.subheader("AI") - st.pyplot(cha.ai_word_frequency_analysis()) + st.pyplot(cha.plot_ai_wordcloud()) + st.pyplot(cha.plot_top_ai_word_frequency()) with route_tab: st.pyplot(cha.route_analysis()) st.pyplot(cha.route_transitions()) - with topic_tab: with st.spinner("Fitting topic model..."): cha.get_topics() @@ -46,6 +50,6 @@ with prompt_complex: # Adding slider for prompt legnth max_outlier = cha.get_prompt_lengths()["no_input_words"].max() + 10 - outlier = st.slider("Please use the slicer if you wish to remove outliers.", 0, max_outlier, 700) + outlier = st.slider("Please use the slicer if you wish to remove outliers.", 0, max_outlier, max_outlier) st.pyplot(cha.visualise_prompt_lengths(outlier_max=outlier)) st.pyplot(cha.vis_prompt_length_vs_chat_legnth(outlier_max=outlier)) From 5cf347495e0759793e42cd5d2122ff72d21d7769 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Thu, 1 Aug 2024 10:00:23 +0100 Subject: [PATCH 061/153] pin poetry plugin bundle --- django_app/Dockerfile | 17 ++++------------- 1 file changed, 4 insertions(+), 13 deletions(-) diff --git a/django_app/Dockerfile b/django_app/Dockerfile index c8e9a4768..01771bc04 100644 --- a/django_app/Dockerfile +++ b/django_app/Dockerfile @@ -18,7 +18,7 @@ FROM python:3.12-slim AS poetry-packages RUN apt-get update && apt-get install --yes build-essential > /dev/null -RUN pip install poetry poetry-plugin-bundle +RUN pip install poetry poetry-plugin-bundle==1.3.0 WORKDIR /src @@ -28,18 +28,8 @@ COPY django_app/poetry.lock . # do this so that poetry bundle can run without the project - can't pass --no-root to bundle # RUN touch README.md RUN poetry install +RUN poetry bundle venv ./venv -# Diagnostic step to check the installation -RUN ls -al /src - -# Create the virtual environment using a traditional method as an alternative -RUN python -m venv /src/venv - -# Activate the virtual environment and install dependencies -RUN . /src/venv/bin/activate && poetry export -f requirements.txt --output requirements.txt && pip install -r requirements.txt - -# Diagnostic step to check if venv is created -RUN ls -al /src/venv # app FROM python:3.12-slim @@ -51,6 +41,7 @@ WORKDIR /usr/src/app COPY django_app/ . COPY --from=npm-packages /src/node_modules/ frontend/node_modules/ +COPY --from=npm-packages /src/dist/ frontend/dist/ COPY --from=poetry-packages /src/venv ./venv ENV DJANGO_SETTINGS_MODULE='redbox_app.settings' @@ -59,4 +50,4 @@ ENV PYTHONPATH "${PYTHONPATH}:/." EXPOSE 8090 RUN chmod +x start.sh -CMD ["./start.sh"] \ No newline at end of file +CMD ["./start.sh"] From 936ea75f3ff621f1a4c9204cb71ccec398aa4a1f Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Thu, 1 Aug 2024 10:41:28 +0100 Subject: [PATCH 062/153] Finalising tech debt issue --- notebooks/evaluation/app.py | 17 +- notebooks/evaluation/chat_log_eda.ipynb | 766 ++++++++++++++++++++++++ 2 files changed, 775 insertions(+), 8 deletions(-) diff --git a/notebooks/evaluation/app.py b/notebooks/evaluation/app.py index 4f95ca1b0..1d5868d33 100644 --- a/notebooks/evaluation/app.py +++ b/notebooks/evaluation/app.py @@ -33,23 +33,24 @@ st.subheader("AI") st.pyplot(cha.plot_ai_wordcloud()) st.pyplot(cha.plot_top_ai_word_frequency()) + st.pyplot(cha.plot_ai_response_pattern()) with route_tab: - st.pyplot(cha.route_analysis()) - st.pyplot(cha.route_transitions()) + st.pyplot(cha.plot_user_routes()) + st.pyplot(cha.plot_route_transitions()) with topic_tab: with st.spinner("Fitting topic model..."): cha.get_topics() - st.plotly_chart(cha.visualise_topics()) - st.plotly_chart(cha.visualise_topics_over_time()) - st.plotly_chart(cha.visualise_barchart()) - st.plotly_chart(cha.visualise_hierarchy()) + st.plotly_chart(cha.plot_topics()) + st.plotly_chart(cha.plot_topics_over_time()) + st.plotly_chart(cha.plot_barchart()) + st.plotly_chart(cha.plot_hierarchy()) with prompt_complex: # Adding slider for prompt legnth max_outlier = cha.get_prompt_lengths()["no_input_words"].max() + 10 outlier = st.slider("Please use the slicer if you wish to remove outliers.", 0, max_outlier, max_outlier) - st.pyplot(cha.visualise_prompt_lengths(outlier_max=outlier)) - st.pyplot(cha.vis_prompt_length_vs_chat_legnth(outlier_max=outlier)) + st.pyplot(cha.plot_prompt_lengths(outlier_max=outlier)) + st.pyplot(cha.plot_prompt_length_vs_chat_legnth(outlier_max=outlier)) diff --git a/notebooks/evaluation/chat_log_eda.ipynb b/notebooks/evaluation/chat_log_eda.ipynb index b8a52eee5..b7f8c214a 100644 --- a/notebooks/evaluation/chat_log_eda.ipynb +++ b/notebooks/evaluation/chat_log_eda.ipynb @@ -47,6 +47,772 @@ "chathistory_df = pd.read_csv('evaluation/data/chat_histories/chathistory.csv')" ] }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "chat_logs = pd.read_csv('data/chat_histories/chathistory.csv')\n", + "# This column dictionary will change keys depending on names given in data frame structure\n", + "COLUMNS_DICT = {\n", + " \"modified_at\":\"created_at\",\n", + " \"id\":\"message_id\",\n", + " \"users\":\"user_email\",\n", + " \"role\":\"role\",\n", + " \"text\":\"text\",\n", + "} \n", + "\n", + "#TODO: Add row to map column headings to new streamlined ones\n", + "\n", + "# Select specific columns and converting to readable timestamp\n", + "# self.chat_logs = self.chat_logs[list(COLUMNS_DICT.keys())]\n", + " # self.chat_logs = self.chat_logs[[\"modified_at\", \"id\", \"users\", \"role\", \"text\"]]\n", + "\n", + " # self.chat_logs = self.chat_logs.rename(COLUMNS_DICT, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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02024-07-17 12:07:02.207160+00:0023074ae3-9f45-4e9c-a2a9-62f0743fa4b8edward.greatrex@beis.gov.ukuser@summarise From the perspective of a preparer ...
12024-07-17 12:07:02.207160+00:0023074ae3-9f45-4e9c-a2a9-62f0743fa4b8edward.greatrex@beis.gov.ukaiThe documents reviewed do not directly state t...
22024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukuserSummarise policy
32024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukaiThe Oman Space Policy and Executive Program (2...
42024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukuserSummarise opportunities
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5302024-07-10 12:54:32.380416+00:00737e0ef2-63f4-45de-aa26-314871ce35f8athanasios.komianos@businessandtrade.gov.ukaiI am sorry, but I do not have enough informati...
5312024-07-10 12:54:15.140817+00:00f918cc90-957d-4ed2-b994-0d1510671e3dathanasios.komianos@businessandtrade.gov.ukuserDiscuss the role of blockchain technology in r...
5322024-07-10 12:54:15.140817+00:00f918cc90-957d-4ed2-b994-0d1510671e3dathanasios.komianos@businessandtrade.gov.ukaiI'm sorry, but without the conversation or spe...
5332024-07-10 12:54:03.946471+00:00d463b1da-9f65-4176-be84-245933fa8bdeathanasios.komianos@businessandtrade.gov.ukuserEvaluate the potential benefits and risks of a...
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created_atmessage_iduser_emailroletext
02024-07-17 12:07:02.207160+00:0023074ae3-9f45-4e9c-a2a9-62f0743fa4b8edward.greatrex@beis.gov.ukuser@summarise From the perspective of a preparer ...
12024-07-17 12:07:02.207160+00:0023074ae3-9f45-4e9c-a2a9-62f0743fa4b8edward.greatrex@beis.gov.ukaiThe documents reviewed do not directly state t...
22024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukuserSummarise policy
32024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukaiThe Oman Space Policy and Executive Program (2...
42024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukuserSummarise opportunities
..................
5302024-07-10 12:54:32.380416+00:00737e0ef2-63f4-45de-aa26-314871ce35f8athanasios.komianos@businessandtrade.gov.ukaiI am sorry, but I do not have enough informati...
5312024-07-10 12:54:15.140817+00:00f918cc90-957d-4ed2-b994-0d1510671e3dathanasios.komianos@businessandtrade.gov.ukuserDiscuss the role of blockchain technology in r...
5322024-07-10 12:54:15.140817+00:00f918cc90-957d-4ed2-b994-0d1510671e3dathanasios.komianos@businessandtrade.gov.ukaiI'm sorry, but without the conversation or spe...
5332024-07-10 12:54:03.946471+00:00d463b1da-9f65-4176-be84-245933fa8bdeathanasios.komianos@businessandtrade.gov.ukuserEvaluate the potential benefits and risks of a...
5342024-07-10 12:54:03.946471+00:00d463b1da-9f65-4176-be84-245933fa8bdeathanasios.komianos@businessandtrade.gov.ukaiI'm sorry, but without the full context of the...
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# Commenting out this whilst testing with just data dump - + # Need to inversley comment out lines for live data # self.chat_logs = self.fetch_chat_history() self.chat_logs = pd.read_csv("notebooks/evaluation/data/chat_histories/chathistory.csv") + # This column dictionary will change keys depending on names given in data frame structure COLUMNS_DICT = { "modified_at": "created_at", @@ -60,15 +60,15 @@ def __init__(self) -> None: "text": "text", } + # Specifying team members to remove from data TEAM_EMAILS = ["alfie.dennen@trade.gov.uk", "isobel.daley@trade.gov.uk"] - # TODO: Add row to map column headings to new streamlined ones - # Select specific columns and converting to readable timestamp self.chat_logs = self.chat_logs[list(COLUMNS_DICT.keys())] # Note I tried the following with .rename() and it did not work. self.chat_logs.columns = [COLUMNS_DICT[col] if col in COLUMNS_DICT else col for col in self.chat_logs.columns] + # Some of this code will change when running live. # self.chat_logs = self.chat_logs[['created_at', 'users_id', 'user_email', 'chat_history', 'text', 'role', 'message_id']] self.chat_logs["created_at"] = pd.to_datetime(self.chat_logs["created_at"]) # Remove users that are redbox team @@ -157,7 +157,6 @@ def process_user_names(self, user_names_column: pd.Series) -> pd.Series: unique_user_names = [user_email.split("@")[0].replace(".", " ").title() for user_email in unique_user_email] user_name_dict = dict(zip(unique_user_email, unique_user_names, strict=False)) new_user_names_column = user_names_column.map(user_name_dict) - print(type(new_user_names_column)) return new_user_names_column def get_user_frequency(self) -> pd.DataFrame: @@ -265,7 +264,7 @@ def plot_top_user_word_frequency(self): """ word_freq = self.get_user_word_frequency() most_common_words = word_freq.most_common( - 20 # TODO - determine how many common words we want and the right vis. for this + 20 # TODO: determine how many common words we want and the right vis. for this ) words, counts = zip(*most_common_words, strict=False) plt.figure(figsize=self.figsize) @@ -279,7 +278,7 @@ def plot_ai_wordcloud(self): Creates wordcloud of AI outputs. """ ai_word_freq = self.get_ai_word_frequency() - # TODO - assess value + # TODO: Assess value ai_wordcloud = WordCloud(width=800, height=400, background_color="white").generate_from_frequencies( ai_word_freq ) @@ -296,7 +295,7 @@ def plot_top_ai_word_frequency(self): most_common_words = ai_word_freq.most_common( 20 - ) # TODO - determine how many common words we want and the right vis. for this + ) # TODO: determine how many common words we want and the right vis. for this words, counts = zip(*most_common_words, strict=False) plt.figure(figsize=self.figsize) @@ -305,94 +304,95 @@ def plot_top_ai_word_frequency(self): plt.xlabel("Frequency") plt.ylabel("Words") - # 5) Is there a clear pattern behind AI responses? - def ai_response_pattern_analysis(self): + def get_ai_response_pattern(self): + """ + Returns a dataframe of ai repsonse patterns. + """ + def clean_text( text, - ): # was including asterisks giving useless info to the graph I'm still not entirely convinced on the benefit of this analysis + ): + # was including asterisks giving useless info to the graph I'm still not + # entirely convinced on the benefit of this analysis return re.sub("[!@#$*]", "", text).strip() self.ai_responses["clean_text"] = self.ai_responses["text"].apply(clean_text) - ai_response_patterns = ( + ai_response_patterns_df = ( self.ai_responses["clean_text"].apply(lambda x: " ".join(x.split()[:2])).value_counts().head(10) ) + return ai_response_patterns_df - # Table - words, counts = zip( - *self.ai_responses["clean_text"].apply(lambda x: " ".join(x.split()[:2])).value_counts(), strict=False - ) - table_data = {"Word": words, "Frequency": counts} - table_dataframe = pd.DataFrame(data=table_data) - table_dataframe.to_csv(f"{self.table_dir}common_ai_patterns.csv", index=False) - - # Barplot + def plot_ai_response_pattern(self): + """ + Bar plot of most common ai response patterns. + """ + ai_response_pattern_df = self.get_ai_response_pattern() plt.figure(figsize=self.figsize) - sns.barplot(x=ai_response_patterns.values, y=ai_response_patterns.index, palette="magma") + sns.barplot(x=ai_response_pattern_df.values, y=ai_response_pattern_df.index, palette="magma") plt.title("Common Patterns in AI Responses") plt.xlabel("Frequency") plt.ylabel("Patterns") - ai_patterns_path = os.path.join(self.visualisation_dir, "common_ai_patterns.png") - plt.savefig(ai_patterns_path) - - # What routes are people using? - def route_analysis(self): - df = self.user_responses.copy() - # # Some users repeat the same message several times (drop?) + def get_routes(self) -> pd.DataFrame: + """ + Returns dataframe of common user routes. + """ + # TODO: Some users repeat the same message several times (drop?) # df = df.drop_duplicates(['text']) + user_responses = self.user_responses + user_responses["user_email"] = self.process_user_names(user_responses["user_email"]) + user_routes_df = user_responses.groupby(["user_email"])["route"].value_counts().unstack() - # User names - user_name = [user_email.split("@")[0].replace(".", " ").title() for user_email in df.user_email] - wrapped_user_name = ["\n".join(textwrap.wrap(name, width=10)) for name in user_name] - df["user_name"] = wrapped_user_name - - # Groupby routes - df_grouped = df.groupby(["user_name"])["route"].value_counts().unstack() + return user_routes_df - # Plot + def plot_user_routes(self): + """ + Creates bar plot of user routes taken. + """ + user_routes_df = self.get_routes() plt.figure(figsize=self.figsize) - df_grouped.plot( + user_routes_df.plot( kind="bar", color={"chat": "teal", "no_route": "yellowgreen", "summarise": "gold"}, figsize=self.figsize ) plt.xticks(rotation=0) plt.xlabel("Users") plt.ylabel("Number of routes taken") plt.title("Routes taken per user") - routes_count_path = os.path.join(self.visualisation_dir, "routes_per_user.png") - plt.savefig(routes_count_path) - - def get_route_transitions(self, df): - # TODO Check this works with the groupby ID and time order of events - df["next_route"] = df["route"].shift(1) - - df["transition"] = df.apply( - lambda row: f"{row['route']} to {row['next_route']}" if pd.notna(row["next_route"]) else None, axis=1 - ) - return df + def get_route_transitions(self) -> pd.DataFrame: + # TODO: Check this works with the groupby ID and time order of events + def route_transitions(df): + df["next_route"] = df["route"].shift(1) + df["transition"] = df.apply( + lambda row: f"{row['route']} to {row['next_route']}" if pd.notna(row["next_route"]) else None, axis=1 + ) + return df - # In what way are users switching between routes? - def route_transitions(self): # Get route transitions and counts per user session (is 'id' appropriate?) - df_transitions = ( - self.user_responses.groupby("message_id").apply(self.get_route_transitions).reset_index(drop=True) - ) + df_transitions = self.user_responses.groupby("message_id").apply(route_transitions).reset_index(drop=True) - transition_counts = df_transitions["transition"].value_counts().reset_index() + route_transitions_df = df_transitions["transition"].value_counts().reset_index() + return route_transitions_df - # Plot - sns.barplot(x=transition_counts["transition"], y=transition_counts["count"], palette="viridis") + def plot_route_transitions(self): + """ + Bar plot of common route transition. + """ + route_transitions_df = self.get_route_transitions() + sns.barplot(x=route_transitions_df["transition"], y=route_transitions_df["count"], palette="viridis") plt.xticks(rotation=45, ha="right") plt.title("Number of different route transitions") plt.xlabel("Route transition") plt.ylabel("Number of route transitions") - # Are users asking about common topics? def get_topics(self): + """ + Aims to answer: Are users asking about common topics? + Removes stopwords and fits a simple topic model. + """ STOPWORDS.add("@chat") STOPWORDS.add("@summarise") - # Remove stopwords and fit (simple) topic model text_without_stopwords = self.user_responses["text"].apply( lambda row: " ".join([word for word in row.split() if word not in (STOPWORDS)]) ) @@ -405,25 +405,25 @@ def get_topics(self): self.topic_model = topic_model self.topics_over_time = topics_over_time - def visualise_topics(self): + def plot_topics(self): # Plot return self.topic_model.visualize_topics(width=800, height=500) - def visualise_hierarchy(self): + def plot_hierarchy(self): # Plot return self.topic_model.visualize_hierarchy(width=800, height=400) - def visualise_barchart(self): + def plot_barchart(self): # Plot return self.topic_model.visualize_barchart(width=800, height=400) - def visualise_topics_over_time(self): + def plot_topics_over_time(self): # Plot return self.topic_model.visualize_topics_over_time( self.topics_over_time, top_n_topics=5, normalize_frequency=True ) - def get_prompt_lengths(self): + def get_prompt_lengths(self) -> pd.DataFrame: """ Adds the prompt lengths to the user prompt column """ @@ -439,7 +439,7 @@ def filter_prompt_lengths(self, outlier_max: int): user_responses_df = user_responses_df[user_responses_df["no_input_words"] < outlier_max] return user_responses_df - def visualise_prompt_lengths(self, outlier_max: int): + def plot_prompt_lengths(self, outlier_max: int): """ How does prompt length vary? """ @@ -447,9 +447,9 @@ def visualise_prompt_lengths(self, outlier_max: int): fig = sns.displot(user_responses_df["no_input_words"]) fig.set_axis_labels(x_var="No. of words in prompt", y_var="Count") - def get_prompt_length_vs_chat_length(self, outlier_max: int): + def get_prompt_length_vs_chat_length(self, outlier_max: int) -> pd.DataFrame: """ - Compares average prompt length with chat length. + Returns a dataframe comparing average prompt length with chat length. """ user_responses_df = self.filter_prompt_lengths(outlier_max) mean_inputs_df = ( @@ -471,14 +471,17 @@ def get_prompt_length_vs_chat_length(self, outlier_max: int): return compare_inputs_words_df - def vis_prompt_length_vs_chat_legnth(self, outlier_max: int): + def plot_prompt_length_vs_chat_legnth(self, outlier_max: int): + """ + Creates a scatterplot of prompt length vs chat legnth. + """ compare_inputs_words_df = self.get_prompt_length_vs_chat_length(outlier_max=outlier_max) compare_inputs_words_df["user_email"] = self.process_user_names(compare_inputs_words_df.user_email) fig = sns.scatterplot(data=compare_inputs_words_df, x="no_inputs", y="mean_input_words", hue="user_email") fig.set_xlabel("No. of prompts") fig.set_ylabel("Mean length of prompt") fig.set_title("Scatter plot comparing number of prompts with the length of prompt for each user session") - sns.move_legend(fig, "upper left", bbox_to_anchor=(1, 1)) + sns.move_legend(fig, "upper left", bbox_to_anchor=(1, 1), title="Users") def main(): From 137f329e5981bb800b244c3628d343cfa7411b0e Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Thu, 1 Aug 2024 10:52:52 +0100 Subject: [PATCH 064/153] Tidy code --- notebooks/evaluation/analysis_of_chat_history.py | 16 +++++----------- 1 file changed, 5 insertions(+), 11 deletions(-) diff --git a/notebooks/evaluation/analysis_of_chat_history.py b/notebooks/evaluation/analysis_of_chat_history.py index d856df218..edb81a9f4 100644 --- a/notebooks/evaluation/analysis_of_chat_history.py +++ b/notebooks/evaluation/analysis_of_chat_history.py @@ -147,11 +147,9 @@ def preprocess_text(self, text): return tokens def process_user_names(self, user_names_column: pd.Series) -> pd.Series: - # TODO: Use this function across the board when displaying User Names. Decide whether surname is needed. """ - Takes a pandas column and returns a dictionary of key value pairs for the tidy name. - This function tidies user names instead of their emails. - At a later date we could add an option for anonymyty (especially useful when presenting). + Takes a pandas column and returns a tidied pandas column. + Creates dictionary of key value pairs for the tidy name. """ unique_user_email = user_names_column.unique() unique_user_names = [user_email.split("@")[0].replace(".", " ").title() for user_email in unique_user_email] @@ -233,7 +231,6 @@ def get_user_word_frequency(self) -> pd.DataFrame: all_tokens = [token for tokens in self.user_responses["tokens"] for token in tokens] stopwords_removed_from_all_tokens = [word for word in all_tokens if word not in STOPWORDS] word_freq = Counter(stopwords_removed_from_all_tokens) - return word_freq def get_ai_word_frequency(self) -> pd.DataFrame: @@ -250,7 +247,6 @@ def plot_user_wordcloud(self): Creates wordcloud of user prompts. """ word_freq = self.get_user_word_frequency() - # TODO: assess value wordcloud = WordCloud(width=800, height=400, background_color="white").generate_from_frequencies(word_freq) plt.figure(figsize=self.figsize) @@ -342,7 +338,6 @@ def get_routes(self) -> pd.DataFrame: user_responses = self.user_responses user_responses["user_email"] = self.process_user_names(user_responses["user_email"]) user_routes_df = user_responses.groupby(["user_email"])["route"].value_counts().unstack() - return user_routes_df def plot_user_routes(self): @@ -360,6 +355,9 @@ def plot_user_routes(self): plt.title("Routes taken per user") def get_route_transitions(self) -> pd.DataFrame: + """ + Returns a dataframe of route transitions. + """ # TODO: Check this works with the groupby ID and time order of events def route_transitions(df): df["next_route"] = df["route"].shift(1) @@ -406,19 +404,15 @@ def get_topics(self): self.topics_over_time = topics_over_time def plot_topics(self): - # Plot return self.topic_model.visualize_topics(width=800, height=500) def plot_hierarchy(self): - # Plot return self.topic_model.visualize_hierarchy(width=800, height=400) def plot_barchart(self): - # Plot return self.topic_model.visualize_barchart(width=800, height=400) def plot_topics_over_time(self): - # Plot return self.topic_model.visualize_topics_over_time( self.topics_over_time, top_n_topics=5, normalize_frequency=True ) From 4254f6e8287a13386f59da6998d8e9654bca4915 Mon Sep 17 00:00:00 2001 From: emilylambert2 Date: Thu, 1 Aug 2024 10:58:21 +0100 Subject: [PATCH 065/153] rmv duplicate notebook --- notebooks/evaluation/chat_log_eda.ipynb | 1241 ----------------------- 1 file changed, 1241 deletions(-) delete mode 100644 notebooks/evaluation/chat_log_eda.ipynb diff --git a/notebooks/evaluation/chat_log_eda.ipynb b/notebooks/evaluation/chat_log_eda.ipynb deleted file mode 100644 index b7f8c214a..000000000 --- a/notebooks/evaluation/chat_log_eda.ipynb +++ /dev/null @@ -1,1241 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chat History Inital EDA (17/07/24)\n", - "\n", - "**Intro** \n", - "\n", - "* This notebook is exploring the chat history logs for Redbox pulled on 17th July. \n", - "\n", - "* Populated columns of this data are 'id', 'created_at', 'modified_at', 'name', 'users', 'id.1', 'created_at.1', 'modified_at.1', 'chat_history', 'text', 'role'.\n", - "\n", - "* Aim of this work is to discover how users are using Redbox and find any other features that may be important to log.\n", - "\n", - "* **IMPORTANT** - For this to work you must save your chathistory.csv dump in notebooks/evaluation/data/chat_histories\n", - "\n", - "**Next Steps** \n", - "\n", - "* Want to get the actual Redbox route so we don't have to rely on inferred data\n", - "\n", - "* *Real* patterns hard to find due to limited data\n", - "\n", - "* Could be interested in how different LLM change user behaviour - would need to store this\n", - "\n", - "* Limitations right now are that we can't really tell whether a chat is successful (e.g. User gets intended output from Redbox). Creating a UI and measuring this would mean we could identify differences in user behaviour that lead to useful/unuseful outputs.\n", - "\n", - "* For RAG use, I'd be interested to see what documents work well or not. Maybe we don't want to store the whole document but maybe the size, type etc. Pairing this with a success variable could lead to interesting insights. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "chathistory_df = pd.read_csv('evaluation/data/chat_histories/chathistory.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "chat_logs = pd.read_csv('data/chat_histories/chathistory.csv')\n", - "# This column dictionary will change keys depending on names given in data frame structure\n", - "COLUMNS_DICT = {\n", - " \"modified_at\":\"created_at\",\n", - " \"id\":\"message_id\",\n", - " \"users\":\"user_email\",\n", - " \"role\":\"role\",\n", - " \"text\":\"text\",\n", - "} \n", - "\n", - "#TODO: Add row to map column headings to new streamlined ones\n", - "\n", - "# Select specific columns and converting to readable timestamp\n", - "# self.chat_logs = self.chat_logs[list(COLUMNS_DICT.keys())]\n", - " # self.chat_logs = self.chat_logs[[\"modified_at\", \"id\", \"users\", \"role\", \"text\"]]\n", - "\n", - " # self.chat_logs = self.chat_logs.rename(COLUMNS_DICT, inplace=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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02024-07-17 12:07:02.207160+00:0023074ae3-9f45-4e9c-a2a9-62f0743fa4b8edward.greatrex@beis.gov.ukuser@summarise From the perspective of a preparer ...
12024-07-17 12:07:02.207160+00:0023074ae3-9f45-4e9c-a2a9-62f0743fa4b8edward.greatrex@beis.gov.ukaiThe documents reviewed do not directly state t...
22024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukuserSummarise policy
32024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukaiThe Oman Space Policy and Executive Program (2...
42024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukuserSummarise opportunities
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5302024-07-10 12:54:32.380416+00:00737e0ef2-63f4-45de-aa26-314871ce35f8athanasios.komianos@businessandtrade.gov.ukaiI am sorry, but I do not have enough informati...
5312024-07-10 12:54:15.140817+00:00f918cc90-957d-4ed2-b994-0d1510671e3dathanasios.komianos@businessandtrade.gov.ukuserDiscuss the role of blockchain technology in r...
5322024-07-10 12:54:15.140817+00:00f918cc90-957d-4ed2-b994-0d1510671e3dathanasios.komianos@businessandtrade.gov.ukaiI'm sorry, but without the conversation or spe...
5332024-07-10 12:54:03.946471+00:00d463b1da-9f65-4176-be84-245933fa8bdeathanasios.komianos@businessandtrade.gov.ukuserEvaluate the potential benefits and risks of a...
5342024-07-10 12:54:03.946471+00:00d463b1da-9f65-4176-be84-245933fa8bdeathanasios.komianos@businessandtrade.gov.ukaiI'm sorry, but without the full context of the...
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created_atmessage_iduser_emailroletext
02024-07-17 12:07:02.207160+00:0023074ae3-9f45-4e9c-a2a9-62f0743fa4b8edward.greatrex@beis.gov.ukuser@summarise From the perspective of a preparer ...
12024-07-17 12:07:02.207160+00:0023074ae3-9f45-4e9c-a2a9-62f0743fa4b8edward.greatrex@beis.gov.ukaiThe documents reviewed do not directly state t...
22024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukuserSummarise policy
32024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukaiThe Oman Space Policy and Executive Program (2...
42024-07-17 11:52:18.429947+00:00d5968843-c331-4714-b9be-07688c5cde7dkatherine.munglani@trade.gov.ukuserSummarise opportunities
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5302024-07-10 12:54:32.380416+00:00737e0ef2-63f4-45de-aa26-314871ce35f8athanasios.komianos@businessandtrade.gov.ukaiI am sorry, but I do not have enough informati...
5312024-07-10 12:54:15.140817+00:00f918cc90-957d-4ed2-b994-0d1510671e3dathanasios.komianos@businessandtrade.gov.ukuserDiscuss the role of blockchain technology in r...
5322024-07-10 12:54:15.140817+00:00f918cc90-957d-4ed2-b994-0d1510671e3dathanasios.komianos@businessandtrade.gov.ukaiI'm sorry, but without the conversation or spe...
5332024-07-10 12:54:03.946471+00:00d463b1da-9f65-4176-be84-245933fa8bdeathanasios.komianos@businessandtrade.gov.ukuserEvaluate the potential benefits and risks of a...
5342024-07-10 12:54:03.946471+00:00d463b1da-9f65-4176-be84-245933fa8bdeathanasios.komianos@businessandtrade.gov.ukaiI'm sorry, but without the full context of the...
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"2 katherine.munglani@trade.gov.uk user \n", - "3 katherine.munglani@trade.gov.uk ai \n", - "4 katherine.munglani@trade.gov.uk user \n", - ".. ... ... \n", - "530 athanasios.komianos@businessandtrade.gov.uk ai \n", - "531 athanasios.komianos@businessandtrade.gov.uk user \n", - "532 athanasios.komianos@businessandtrade.gov.uk ai \n", - "533 athanasios.komianos@businessandtrade.gov.uk user \n", - "534 athanasios.komianos@businessandtrade.gov.uk ai \n", - "\n", - " text \n", - "0 @summarise From the perspective of a preparer ... \n", - "1 The documents reviewed do not directly state t... \n", - "2 Summarise policy \n", - "3 The Oman Space Policy and Executive Program (2... \n", - "4 Summarise opportunities \n", - ".. ... \n", - "530 I am sorry, but I do not have enough informati... \n", - "531 Discuss the role of blockchain technology in r... \n", - "532 I'm sorry, but without the conversation or spe... \n", - "533 Evaluate the potential benefits and risks of a... \n", - "534 I'm sorry, but without the full context of the... \n", - "\n", - "[535 rows x 5 columns]" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "chat_logs" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/00/4pflvfjd1xg30b7bz1kldbz00000gr/T/ipykernel_18003/715063570.py:1: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " chat_logs.rename(columns=COLUMNS_DICT, inplace=True)\n" - ] - } - ], - "source": [ - "chat_logs.rename(columns=COLUMNS_DICT, inplace=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "chat_logs = chat_logs.rename(columns=COLUMNS_DICT, inplace=True)\n", - "chat_logs" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "chathistory_df.columns" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "chathistory_df.info()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "chathistory_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "chathistory_df['role'].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Ensuring date columns are stored as datetimes\n", - "date_cols = ['created_at', 'modified_at','created_at.1', 'modified_at.1']\n", - "for i in date_cols:\n", - " chathistory_df[i] = pd.to_datetime(chathistory_df[i])\n", - "chathistory_df.info()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Top users (inc. over time)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Pulling out user input rows only\n", - "# Identifying top users of redbox\n", - "user_inputs_df = chathistory_df[(chathistory_df['role']=='user')]\n", - "user_inputs_df['users'].value_counts()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# How has total redbox usage changed overtime\n", - "user_inputs_df.groupby(chathistory_df['modified_at'].rename('Days').dt.day).size().plot(ylabel='No. of prompts', title='Total Redbox Usage Over Time')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This shows a general increase in usage of redbox. \n", - "\n", - "Now, interested in increase/decrease by user." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import seaborn as sns\n", - "\n", - "# Plotting how each users usage has changed over time\n", - "pivot_user_time = user_inputs_df[['modified_at', 'users']].groupby(pd.Grouper(key='modified_at', axis=0, freq='2D', sort=True)).value_counts().reset_index(name='count').pivot(index='modified_at', columns='users', values='count')\n", - "fig = sns.lineplot(data=pivot_user_time, markers=True)\n", - "fig.set_xlabel('Date')\n", - "fig.set_ylabel('No. of Prompts')\n", - "fig.tick_params(axis='x', rotation=90)\n", - "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1), title='Users')\n", - "fig.set_title('Line graph to show number of prompts for each user over time')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Maybe not the best plot to use due to null entries, however, I think it shows trends in users usage and shows those users which have only used Redbox once.\n", - "\n", - "Next, interested to see whether users that aren't using it as frequently are using certain routes of Redbox to those who are, for example. \n", - "\n", - "Routes column is not currently populated so I have inferred this by identifying whether the user has used @chat, @summarise or otherwise." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Popularity of User Routes (inc. process map)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Creating the inferred routes from the text column \n", - "def routes(row):\n", - " if '@chat' in row['text']:\n", - " val = 'chat'\n", - " elif '@summarise' in row['text']:\n", - " val = 'summarise'\n", - " else:\n", - " val = 'rag'\n", - " return val\n", - "\n", - "user_inputs_df['infer_route'] = user_inputs_df.apply(routes, axis=1)\n", - "user_inputs_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Creating df of each users most popular prompt route\n", - "popular_routes = user_inputs_df[['users', 'infer_route']].value_counts().reset_index(name='count')\n", - "popular_routes" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# sns.barplot(popular_routes['infer_route'].value_counts().reset_index(name='count'), x='infer_route', y='count', hue='infer_route', title='Most popular Routes')\n", - "popular_routes[['infer_route', 'count']].groupby('infer_route').sum().reset_index()\n", - "fig = sns.barplot(popular_routes[['infer_route', 'count']].groupby('infer_route').sum().reset_index(), x='infer_route', y='count', hue='infer_route')\n", - "fig.set_xlabel('Inferred Route')\n", - "fig.set_title('Bar plot to show most popular routes')\n", - "fig.set_ylabel('No. of Prompts')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fig = sns.barplot(data=popular_routes, x='users', y='count', hue='infer_route')\n", - "fig.tick_params(axis='x', rotation=90)\n", - "fig.set_xlabel('Users')\n", - "fig.set_title('Bar plot to show most popular routes by user')\n", - "fig.set_ylabel('No. of Prompts')\n", - "fig.legend(title='Inferred Route')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# See if theres a change in popular routes over time\n", - "route_over_time = user_inputs_df[['modified_at', 'infer_route']].groupby(pd.Grouper(key='modified_at', axis=0, freq='2D', sort=True)).value_counts().reset_index(name='count')\n", - "route_over_time" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fig = sns.lineplot(data=route_over_time, markers=True, x='modified_at', y='count', hue='infer_route')\n", - "fig.set_ylabel('No. of Prompts')\n", - "fig.set_xlabel('Date')\n", - "fig.tick_params(axis='x', rotation=90)\n", - "fig.legend(title='Inferred Route')\n", - "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1))\n", - "fig.set_title('Line graph to show number of inputs for each prompt type over time')\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Shows that over the last couple of days, the chat function has overtaken summarise in terms of popularity. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Process Map \n", - "\n", - "Interested to see if theres any distinctive patterns between users, whether that effects their use of Redbox. It would be interesting to compare successful and unsuccessful routes if we measure this somehow so we can provide users with better training." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pm4py.objects.conversion.log import converter as log_conversion_factory\n", - "from pm4py.algo.discovery.heuristics import algorithm as heuristics_miner\n", - "from pm4py.visualization.heuristics_net import visualizer as hn_visualizer\n", - "\n", - "def create_hnet_vis(event_df):\n", - "\n", - " # Convert DataFrame to pm4py event log format\n", - " event_df.columns = ['case:concept:name', 'time:timestamp', 'concept:name']\n", - " log = log_conversion_factory.apply(event_df)\n", - "\n", - " # Discover Heuristic Net\n", - " heu_net = heuristics_miner.apply_heu(log)\n", - "\n", - " # Visualize Heuristic Net\n", - " gviz = hn_visualizer.apply(heu_net)\n", - " hn_visualizer.view(gviz)\n", - "\n", - "\n", - "route_map_df = user_inputs_df[['id', 'modified_at', 'infer_route']]\n", - "create_hnet_vis(route_map_df)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Creating a process map for each user.\n", - "for i in user_inputs_df['users'].unique():\n", - " user_input_df_filter = user_inputs_df[user_inputs_df['users']==i]\n", - " route_map_df = user_input_df_filter[['id', 'modified_at', 'infer_route']]\n", - " print(i)\n", - " create_hnet_vis(route_map_df)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Prompt detail effects\n", - "\n", - "I'm assuming that each chat ends 'successfully' (quite flawed) but want to see whether the level of detail (currently measuring this by word length but could use more advanced metrics) effects how many prompts a user needs to try before they are done with Redbox. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Creating column for number of words\n", - "user_inputs_df['no_input_words'] = user_inputs_df[\"text\"].apply(lambda n: len(n.split()))\n", - "user_inputs_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fig = sns.displot(user_inputs_df.no_input_words)\n", - "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Seems to be an anomaly over 1400 words, removing this to see distribution of rest." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "sns.histplot(user_inputs_df[user_inputs_df['no_input_words']<700]['no_input_words'])\n", - "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# How does this vary between users\n", - "fig = sns.displot(\n", - " user_inputs_df[user_inputs_df['no_input_words']<700],\n", - " x=\"no_input_words\", \n", - " col=\"users\", col_wrap=4, height=4,\n", - ")\n", - "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# How does this vary between users and routes\n", - "fig = sns.displot(\n", - " user_inputs_df[user_inputs_df['no_input_words']<700],\n", - " x=\"no_input_words\", hue='infer_route',\n", - " col=\"users\", col_wrap=4, height=4,\n", - ")\n", - "fig.set_axis_labels(x_var='No. of words in prompt', y_var='Count')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "no_inputs_df = user_inputs_df[[\"id\", \"users\"]].groupby(\"id\").value_counts().reset_index(name='no_inputs')\n", - "no_inputs_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "mean_inputs_df = user_inputs_df[[\"id\", \"users\", \"no_input_words\"]].groupby(by=['id', 'users']).agg({'no_input_words': 'mean'}).rename(columns={'no_input_words':'mean_input_words'}).reset_index()\n", - "mean_inputs_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "compare_inputs_words_df = no_inputs_df.merge(mean_inputs_df, left_on=['id', 'users'], right_on=['id', 'users'])\n", - "\n", - "# Remove anomaly to see if pattern more clearly - maybe should have been done before calculating the mean\n", - "fig = sns.scatterplot(\n", - " data=compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200],\n", - " x='no_inputs',\n", - " y='mean_input_words',\n", - " hue='users')\n", - "fig.set_xlabel('No. of prompts')\n", - "fig.set_ylabel('Mean length of prompt')\n", - "fig.set_title('Scatter plot comparing number of prompts with the length of prompt for each user session')\n", - "sns.move_legend(fig, \"upper left\", bbox_to_anchor=(1, 1))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# A very weak negative col, potentially showing the more detailed input a user gives the less inputs they have to use in a session\n", - "compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200][['mean_input_words', 'no_inputs']].corr()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "compare_inputs_words_df[compare_inputs_words_df['mean_input_words']<200].groupby('users')[['mean_input_words', 'no_inputs']].corr()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "redbox-MGCo560N-py3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} From 4d02efb3aef979b8a4086f984cdde6c4f1fe6456 Mon Sep 17 00:00:00 2001 From: esoutter Date: Tue, 6 Aug 2024 09:44:45 +0100 Subject: [PATCH 066/153] refactor chunk and embed process for 0.4 --- .../rag_create_evaluation_dataset.ipynb | 179 +++++++++++------- 1 file changed, 115 insertions(+), 64 deletions(-) diff --git a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb index 0c5894563..0fa77cdb6 100644 --- a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb +++ b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 16, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -32,10 +32,10 @@ "from ragas.testset.generator import TestsetGenerator\n", "from ragas.testset.evolutions import simple, reasoning, multi_context\n", "\n", + "\n", "from redbox.model_db import SentenceTransformerDB\n", "from redbox.models import Settings\n", "from redbox.models.settings import ElasticLocalSettings\n", - "from redbox.parsing import chunk_file\n", "from redbox.models.file import File, Chunk\n", "\n", "from mypy_boto3_s3.client import S3Client\n", @@ -186,11 +186,11 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "DATA_VERSION = \"0.1.0\"" + "DATA_VERSION = \"0.5.0\"" ] }, { @@ -202,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -219,12 +219,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "ROOT = Path.cwd().parents[1]\n", + "ROOT = Path.cwd()\n", "EVALUATION_DIR = ROOT / \"notebooks/evaluation\"\n", + "EVALUATION_DIR = ROOT\n", "\n", "V_ROOT = EVALUATION_DIR / f\"data/{DATA_VERSION}\"\n", "V_RAW = V_ROOT / \"raw\"\n", @@ -250,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -266,9 +267,18 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Connecting to self managed Elasticsearch\n", + "INFO:root:Elasticsearch host = localhost\n" + ] + } + ], "source": [ "S3_CLIENT = ENV.s3_client()\n", "ES_CLIENT = ENV.elasticsearch_client()" @@ -529,73 +539,114 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def save_chunks_to_jsonl(chunks: t.Iterable[Chunk], file_path: Path) -> None:\n", - " with jsonlines.open(file_path, mode=\"w\") as writer:\n", - " for chunk in chunks:\n", - " writer.write(chunk.model_dump_json())\n", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-mpnet-base-v2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of chunks: 649\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b1493cb28a404377a67e0e843e273b92", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Batches: 0%| | 0/21 [00:00 t.Iterable[Document]:\n", + "\n", + " my_file = File(\n", + " uuid= USER_UUID,\n", + " key = 'a',\n", + " bucket ='a',\n", + " creator_user_uuid=USER_UUID,\n", + " )\n", "\n", + " raw_files = glob.glob(str(V_RAW / \"*.pdf\"))\n", + " \n", + " # Chunk\n", + " for file_path in raw_files:\n", + " with open(file_path, \"rb\") as f:\n", + " loader = UnstructuredDocumentLoader(\n", + " file=my_file,\n", + " file_bytes=f,\n", + " env=ENV\n", + " )\n", "\n", - "def embed_file(\n", - " file_path: Path,\n", - " data_version: str,\n", - " bucket_name: str,\n", - " model: SentenceTransformerDB,\n", - " user_uuid: UUID = USER_UUID,\n", - " s3_client: S3Client = S3_CLIENT,\n", - ") -> list[Chunk]:\n", - " key = f\"{data_version}/{file_path.name}\"\n", - " file = File(key=key, bucket=bucket_name, creator_user_uuid=user_uuid)\n", + " chunks = list(loader.lazy_load())\n", "\n", - " # Upload to bucket\n", - " with open(file_path, \"rb\") as f:\n", - " s3_client.upload_fileobj(f, bucket_name, key)\n", + " print(f'Number of chunks: {len(chunks)}')\n", "\n", - " # Chunk\n", - " chunks = chunk_file(file=file, s3_client=s3_client)\n", + " # Write\n", + " with jsonlines.open(V_CHUNKS / 'documents.jsonl', mode=\"w\") as writer:\n", + " for chunk in chunks:\n", + " writer.write(chunk.page_content)\n", + "\n", + " return chunks\n", + "\n", + "\n", + "def embed_chunks(\n", + " chunks: t.Iterable[Document],\n", + " model: SentenceTransformerDB\n", + " ) -> None:\n", "\n", " # Embed\n", - " embeddings = [embedding.embedding for embedding in model.embed_sentences([chunk.text for chunk in chunks]).data]\n", + " embeddings = [embedding.embedding for embedding in model(embedding_model_name = ENV.embedding_model).embed_sentences([chunk.page_content for chunk in chunks]).data]\n", "\n", - " # Merge\n", + " # Merge with chunk metadata\n", " chunks_embedded = []\n", " for chunk, embedding in zip(chunks, embeddings, strict=True):\n", " chunk_embedded = Chunk(\n", - " uuid=chunk.uuid,\n", - " created_datetime=chunk.created_datetime,\n", - " creator_user_uuid=chunk.creator_user_uuid,\n", - " parent_file_uuid=chunk.parent_file_uuid,\n", - " index=chunk.index,\n", - " text=chunk.text,\n", + " uuid=USER_UUID,\n", + " creator_user_uuid=chunk.metadata['creator_user_uuid'],\n", + " parent_file_uuid=chunk.metadata['parent_file_uuid'],\n", + " index=chunk.metadata['index'],\n", + " text=chunk.page_content,\n", " metadata=chunk.metadata,\n", " embedding=embedding,\n", " )\n", " chunks_embedded.append(chunk_embedded)\n", "\n", - " return chunks_embedded" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "all_embedded_files = []\n", - "\n", - "for file_path in V_RAW.glob(\"*.*\"):\n", - " file_chunks_embedded = embed_file(\n", - " file_path=file_path,\n", - " data_version=DATA_VERSION,\n", - " bucket_name=ENV.bucket_name,\n", - " model=SentenceTransformerDB(embedding_model_name=MODEL),\n", - " )\n", - " all_embedded_files += file_chunks_embedded\n", + " # Write\n", + " with jsonlines.open(V_EMBEDDINGS / f'{MODEL}.jsonl', mode=\"w\") as writer:\n", + " for chunk_embedded in chunks_embedded:\n", + " writer.write(chunk_embedded.model_dump_json())\n", "\n", - "save_chunks_to_jsonl(chunks=all_embedded_files, file_path=V_EMBEDDINGS / f\"{MODEL}.jsonl\")" + "file_chunks = chunk_files(file_path = V_RAW)\n", + "embed_chunks(chunks = file_chunks, model = SentenceTransformerDB)" ] }, { @@ -694,7 +745,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, From 8728f2fede88cd0d442c79b37e4f4fc25b44e045 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 12:53:24 +0100 Subject: [PATCH 067/153] feat: automatically check for new releases by tag and create branch --- .github/workflows/pull-upstream-release.yml | 39 +++++++++++++++++++++ 1 file changed, 39 insertions(+) create mode 100644 .github/workflows/pull-upstream-release.yml diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml new file mode 100644 index 000000000..9da08e4d4 --- /dev/null +++ b/.github/workflows/pull-upstream-release.yml @@ -0,0 +1,39 @@ +name: Detect upstream release + +on: + schedule: + - cron: '0 8 * * *' # run every day at 8am + workflow_dispatch: + +jobs: + check-upstream-release: + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v2 + + - name: Fetch upstream release_version + uses: | + git remote add upstream https://github.com/i-dot-ai/redbox.git + git fetch upstream --tags + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + + - name: Check for new release tag + id: check_tag + run: | + latest_tag=$(git describe --tags `git rev-list --tags --max-count=1`) + echo "Latest tag: "upstream/release-$latest_tag" + echo "::set-output name=latest_tag::$latest_tag" + + - name: Create new branch if new release found + if: github.event_name == 'schedule' + run: | + branch_name = "upstream/release-$latest_tag" + git checkout -b $branch_name upstream/release-$latest_tag + git push origin $branch_name + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + + + From df623adcf3c3fa828de0ce3593585d05fcde9966 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 12:55:19 +0100 Subject: [PATCH 068/153] fix: update uses to run --- .github/workflows/pull-upstream-release.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index 9da08e4d4..22511c1ab 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -13,7 +13,7 @@ jobs: uses: actions/checkout@v2 - name: Fetch upstream release_version - uses: | + run: | git remote add upstream https://github.com/i-dot-ai/redbox.git git fetch upstream --tags env: From e9462434fe21d7425fbca46d644ce72bca6daee9 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 13:04:50 +0100 Subject: [PATCH 069/153] fix: temporarily updating trigger to on push to test --- .github/workflows/pull-upstream-release.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index 22511c1ab..180d71d4b 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -4,6 +4,7 @@ on: schedule: - cron: '0 8 * * *' # run every day at 8am workflow_dispatch: + push: jobs: check-upstream-release: From 186e459400a20f2433b4e6ece9d6da1758624632 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 13:17:22 +0100 Subject: [PATCH 070/153] fix: update use of environment variables --- .github/workflows/pull-upstream-release.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index 180d71d4b..a99b41416 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -25,13 +25,13 @@ jobs: run: | latest_tag=$(git describe --tags `git rev-list --tags --max-count=1`) echo "Latest tag: "upstream/release-$latest_tag" - echo "::set-output name=latest_tag::$latest_tag" + echo "latest_tag=$latest_tag" >> $GITHUB_ENV - name: Create new branch if new release found if: github.event_name == 'schedule' run: | - branch_name = "upstream/release-$latest_tag" - git checkout -b $branch_name upstream/release-$latest_tag + branch_name = "upstream/release-${{ env.latest_tag }}" + git checkout -b $branch_name git push origin $branch_name env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} From 3670ea9802c91567ac000f454df17dc8e8c26de2 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 13:20:27 +0100 Subject: [PATCH 071/153] fix: adjust error in syntax --- .github/workflows/pull-upstream-release.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index a99b41416..21d80d2b5 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -24,7 +24,7 @@ jobs: id: check_tag run: | latest_tag=$(git describe --tags `git rev-list --tags --max-count=1`) - echo "Latest tag: "upstream/release-$latest_tag" + echo "Latest tag: $latest_tag" echo "latest_tag=$latest_tag" >> $GITHUB_ENV - name: Create new branch if new release found From e8afd77af028e884b8dab8880033eaf47a032027 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 14:12:12 +0100 Subject: [PATCH 072/153] feat: add branch tagging --- .github/workflows/pull-upstream-release.yml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index 21d80d2b5..b16c28376 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -28,13 +28,20 @@ jobs: echo "latest_tag=$latest_tag" >> $GITHUB_ENV - name: Create new branch if new release found - if: github.event_name == 'schedule' + if: github.event_name == 'push' run: | branch_name = "upstream/release-${{ env.latest_tag }}" git checkout -b $branch_name git push origin $branch_name env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + + - name: Tag the new branch + run: | + git tag ${{ env.latest_tag }} $branch_name + git push origin ${{ env.latest_tag }} + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} From 7138c957c4582926ca96bbc03d32505977a790ea Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 14:27:40 +0100 Subject: [PATCH 073/153] fix: address command not found issue --- .github/workflows/pull-upstream-release.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index b16c28376..d47134741 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -30,7 +30,7 @@ jobs: - name: Create new branch if new release found if: github.event_name == 'push' run: | - branch_name = "upstream/release-${{ env.latest_tag }}" + echo "branch_name = "upstream/release-${{ env.latest_tag }}"" git checkout -b $branch_name git push origin $branch_name env: @@ -38,7 +38,7 @@ jobs: - name: Tag the new branch run: | - git tag ${{ env.latest_tag }} $branch_name + git tag upstream/${{ env.latest_tag }} $branch_name git push origin ${{ env.latest_tag }} env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} From f32ddfcfbb5de3bd7267402ce3d9e5f477eea3fd Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 14:30:26 +0100 Subject: [PATCH 074/153] fix: address command not found issue --- .github/workflows/pull-upstream-release.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index d47134741..97aecf521 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -30,7 +30,8 @@ jobs: - name: Create new branch if new release found if: github.event_name == 'push' run: | - echo "branch_name = "upstream/release-${{ env.latest_tag }}"" + branch_name = upstream/release-${{ env.latest_tag }} + echo branch_name: $branch_name git checkout -b $branch_name git push origin $branch_name env: From e359e804da1fe573ae97816a4c789d6a90ee5877 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 14:31:23 +0100 Subject: [PATCH 075/153] fix: address command not found issue --- .github/workflows/pull-upstream-release.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index 97aecf521..da6244cea 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -30,7 +30,7 @@ jobs: - name: Create new branch if new release found if: github.event_name == 'push' run: | - branch_name = upstream/release-${{ env.latest_tag }} + branch_name=upstream/release-${{ env.latest_tag }} echo branch_name: $branch_name git checkout -b $branch_name git push origin $branch_name From d0a9a6977fb90963e8667f952b3213eedb9ab2c5 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 14:42:22 +0100 Subject: [PATCH 076/153] fix: modify trigger for branch creation to schedule --- .github/workflows/pull-upstream-release.yml | 14 ++------------ 1 file changed, 2 insertions(+), 12 deletions(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index da6244cea..6c880d8c2 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -28,21 +28,11 @@ jobs: echo "latest_tag=$latest_tag" >> $GITHUB_ENV - name: Create new branch if new release found - if: github.event_name == 'push' + if: github.event_name == 'schedule' run: | branch_name=upstream/release-${{ env.latest_tag }} echo branch_name: $branch_name git checkout -b $branch_name git push origin $branch_name env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - - - name: Tag the new branch - run: | - git tag upstream/${{ env.latest_tag }} $branch_name - git push origin ${{ env.latest_tag }} - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - - - + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} \ No newline at end of file From 36c7bb518828f398c1d7cdfd955cbfbdf10215e6 Mon Sep 17 00:00:00 2001 From: Isobel Daley Date: Tue, 6 Aug 2024 14:42:46 +0100 Subject: [PATCH 077/153] fix: remove push trigger --- .github/workflows/pull-upstream-release.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/pull-upstream-release.yml b/.github/workflows/pull-upstream-release.yml index 6c880d8c2..3f96341f9 100644 --- a/.github/workflows/pull-upstream-release.yml +++ b/.github/workflows/pull-upstream-release.yml @@ -4,7 +4,6 @@ on: schedule: - cron: '0 8 * * *' # run every day at 8am workflow_dispatch: - push: jobs: check-upstream-release: From 72cb072620facd7be9cd7b85b83654c405edfc88 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Thu, 8 Aug 2024 12:41:14 +0100 Subject: [PATCH 078/153] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9a6a78a2d..5fd12f331 100644 --- a/README.md +++ b/README.md @@ -85,7 +85,7 @@ redbox-copilot/ # Contributing -We welcome contributions to this project. Please see the [CONTRIBUTING.md](./CONTRIBUTING.md) file for more information. +We welcome contributions to this project. Please see the [CONTRIBUTING.md](./docs/contributing.md) file for more information. # License From dc0fd1b87c2119228ccb70d836a069b7c80b6af9 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Thu, 8 Aug 2024 13:03:22 +0100 Subject: [PATCH 079/153] Fix: update contributing.md (#32) * Update contributing.md * Update contributing.md --- docs/contributing.md | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/docs/contributing.md b/docs/contributing.md index 2e2897de8..4dd255624 100644 --- a/docs/contributing.md +++ b/docs/contributing.md @@ -13,7 +13,7 @@ All types of contributions are encouraged and valued. See the [Table of Contents ## Table of Contents -- [Contributing to Redbox](#contributing-to-redbox-copilot) +- [Contributing to Redbox](#contributing-to-redbox) - [Code of Conduct](#code-of-conduct) - [I Have a Question](#i-have-a-question) - [I Want To Contribute](#i-want-to-contribute) @@ -29,20 +29,20 @@ All types of contributions are encouraged and valued. See the [Table of Contents ## Code of Conduct This project and everyone participating in it is governed by the -[Redbox Code of Conduct](https://github.com/i-dot-ai/redbox-copilot/blob/main/CODE_OF_CONDUCT.md). +[Redbox Code of Conduct](https://github.com/uktrade/redbox-copilot/blob/main/CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. Please report unacceptable behavior to i-dot-ai-enquiries@cabinetoffice.gov.uk ## I Have a Question -> If you want to ask a question, we assume that you have read the available [Documentation](https://github.com/i-dot-ai/redbox-copilot/tree/main/docs). +> If you want to ask a question, we assume that you have read the available [Documentation](https://github.com/uktrade/redbox-copilot/tree/main/docs). -Before you ask a question, it is best to search for existing [Issues](https://github.com/i-dot-ai/redbox-copilot/issues) that might help you. In case you have found a suitable issue and still need clarification, you can write your question in this issue. It is also advisable to search the internet for answers first. +Before you ask a question, it is best to search for existing [Issues](https://github.com/uktrade/redbox-copilot/issues) that might help you. In case you have found a suitable issue and still need clarification, you can write your question in this issue. It is also advisable to search the internet for answers first. If you then still feel the need to ask a question and need clarification, we recommend the following: -- Open an [Issue](https://github.com/i-dot-ai/redbox-copilot/issues/new). +- Open an [Issue](https://github.com/uktrade/redbox-copilot/issues/new). - Provide as much context as you can about what you're running into. - Provide project and platform versions (nodejs, npm, etc), depending on what seems relevant. @@ -60,8 +60,8 @@ We will then take care of the issue as soon as possible. A good bug report shouldn't leave others needing to chase you up for more information. Therefore, we ask you to investigate carefully, collect information and describe the issue in detail in your report. Please complete the following steps in advance to help us fix any potential bug as fast as possible. - Make sure that you are using the latest version. -- Determine if your bug is really a bug and not an error on your side e.g. using incompatible environment components/versions (Make sure that you have read the [documentation](https://github.com/i-dot-ai/redbox-copilot/docs). If you are looking for support, you might want to check [this section](#i-have-a-question)). -- To see if other users have experienced (and potentially already solved) the same issue you are having, check if there is not already a bug report existing for your bug or error in the [bug tracker](https://github.com/i-dot-ai/redbox-copilotissues?q=label%3Abug). +- Determine if your bug is really a bug and not an error on your side e.g. using incompatible environment components/versions (Make sure that you have read the [documentation](https://github.com/uktrade/redbox-copilot/tree/main/docs). If you are looking for support, you might want to check [this section](#i-have-a-question)). +- To see if other users have experienced (and potentially already solved) the same issue you are having, check if there is not already a bug report existing for your bug or error in the [bug tracker](https://github.com/uktrade/redbox-copilot/issues?q=label%3Abug). - Also make sure to search the internet (including Stack Overflow) to see if users outside of the GitHub community have discussed the issue. - Collect information about the bug: - Stack trace (Traceback) @@ -78,7 +78,7 @@ A good bug report shouldn't leave others needing to chase you up for more inform We use GitHub issues to track bugs and errors. If you run into an issue with the project: -- Open an [Issue](https://github.com/i-dot-ai/redbox-copilot/issues/new). (Since we can't be sure at this point whether it is a bug or not, we ask you not to talk about a bug yet and not to label the issue.) +- Open an [Issue](https://github.com/uktrade/redbox-copilot/issues/new). (Since we can't be sure at this point whether it is a bug or not, we ask you not to talk about a bug yet and not to label the issue.) - Explain the behavior you would expect and the actual behavior. - Please provide as much context as possible and describe the *reproduction steps* that someone else can follow to recreate the issue on their own. This usually includes your code. For good bug reports you should isolate the problem and create a reduced test case. - Provide the information you collected in the previous section. @@ -87,7 +87,7 @@ Once it's filed: - The project team will label the issue accordingly. - A team member will try to reproduce the issue with your provided steps. If there are no reproduction steps or no obvious way to reproduce the issue, the team will ask you for those steps and mark the issue as `needs-repro`. Bugs with the `needs-repro` tag will not be addressed until they are reproduced. -- If the team is able to reproduce the issue, it will be marked `needs-fix`, as well as possibly other tags (such as `critical`), and the issue will be left to be [implemented by someone](#your-first-code-contribution). +- If the team is able to reproduce the issue, it will be marked `needs-fix`, as well as possibly other tags (such as `critical`), and the issue will be left to be implemented by someone. ### Suggesting Enhancements @@ -97,19 +97,19 @@ This section guides you through submitting an enhancement suggestion for Redbox, #### Before Submitting an Enhancement - Make sure that you are using the latest version. -- Read the [documentation](https://github.com/i-dot-ai/redbox-copilot/docs) carefully and find out if the functionality is already covered, maybe by an individual configuration. -- Perform a [search](https://github.com/i-dot-ai/redbox-copilot/issues) to see if the enhancement has already been suggested. If it has, add a comment to the existing issue instead of opening a new one. +- Read the [documentation](https://github.com/uktrade/redbox-copilot/tree/main/docs) carefully and find out if the functionality is already covered, maybe by an individual configuration. +- Perform a [search](https://github.com/uktrade/redbox-copilot/issues) to see if the enhancement has already been suggested. If it has, add a comment to the existing issue instead of opening a new one. - Find out whether your idea fits with the scope and aims of the project. It's up to you to make a strong case to convince the project's developers of the merits of this feature. Keep in mind that we want features that will be useful to the majority of our users and not just a small subset. If you're just targeting a minority of users, consider writing an add-on/plugin library. #### How Do I Submit a Good Enhancement Suggestion? -Enhancement suggestions are tracked as [GitHub issues](https://github.com/i-dot-ai/redbox-copilot/issues). +Enhancement suggestions are tracked as [GitHub issues](https://github.com/uktrade/redbox-copilot/issues). - Use a **clear and descriptive title** for the issue to identify the suggestion. - Provide a **step-by-step description of the suggested enhancement** in as many details as possible. - **Describe the current behavior** and **explain which behavior you expected to see instead** and why. At this point you can also tell which alternatives do not work for you. -- You may want to **include screenshots and animated GIFs** which help you demonstrate the steps or point out the part which the suggestion is related to. You can use [this tool](https://www.cockos.com/licecap/) to record GIFs on macOS and Windows, and [this tool](https://github.com/colinkeenan/silentcast) or [this tool](https://github.com/GNOME/byzanz) on Linux. +- You may want to **include screenshots and animated GIFs** which help you demonstrate the steps or point out the part which the suggestion is related to. You can use [this tool](https://www.cockos.com/licecap/) to record GIFs on macOS and Windows, and [this tool](https://github.com/colinkeenan/silentcast) or [this tool](https://github.com/rhcarvalho/byzanz-gui) on Linux. - **Explain why this enhancement would be useful** to most Redbox users. You may also want to point out the other projects that solved it better and which could serve as inspiration. From d1051b66a56cb2837ae6b3f2f328f1a02ee3fd43 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 9 Aug 2024 12:19:19 +0100 Subject: [PATCH 080/153] default hosts to "" --- django_app/redbox_app/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 92079fcad..6ed6848b1 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -21,7 +21,7 @@ WEBSOCKET_SCHEME = "ws" if ENVIRONMENT.is_test else "wss" LOGIN_METHOD = env.str("LOGIN_METHOD") -if env.str("HOSTS"): +if env.str("HOSTS", ""): env_hosts = env.str("HOSTS", "").split(",") else: env_hosts = ENVIRONMENT.hosts From d68e9090e17871fee17f39e24701734411b7d056 Mon Sep 17 00:00:00 2001 From: esoutter Date: Fri, 9 Aug 2024 14:17:50 +0100 Subject: [PATCH 081/153] refactor chunk-embed for 0.4; update pass rates and plots --- .../rag_create_evaluation_dataset.ipynb | 102 ++++++------------ notebooks/evaluation/rag_experiments.py | 30 +++--- 2 files changed, 49 insertions(+), 83 deletions(-) diff --git a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb index 0fa77cdb6..14b602aa7 100644 --- a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb +++ b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -186,7 +186,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -202,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -219,7 +219,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -251,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -267,18 +267,9 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Connecting to self managed Elasticsearch\n", - "INFO:root:Elasticsearch host = localhost\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "S3_CLIENT = ENV.s3_client()\n", "ES_CLIENT = ENV.elasticsearch_client()" @@ -415,7 +406,7 @@ "source": [ "# generate testset\n", "testset = generator.generate_with_langchain_docs(\n", - " documents, test_size=10, distributions={simple: 0.4, reasoning: 0.3, multi_context: 0.3}\n", + " documents, test_size=30, distributions={simple: 0.4, reasoning: 0.3, multi_context: 0.3}\n", ")" ] }, @@ -507,7 +498,7 @@ "metadata": {}, "outputs": [], "source": [ - "testset_df_renamed.head()" + "# testset_df_renamed.head()" ] }, { @@ -539,45 +530,9 @@ }, { "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-mpnet-base-v2\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of chunks: 649\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b1493cb28a404377a67e0e843e273b92", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Batches: 0%| | 0/21 [00:00 None:\n", "\n", " # Embed\n", - " embeddings = [embedding.embedding for embedding in model(embedding_model_name = ENV.embedding_model).embed_sentences([chunk.page_content for chunk in chunks]).data]\n", + " embeddings = [embedding.embedding for embedding in model(embedding_model_name = MODEL).embed_sentences([chunk.page_content for chunk in chunks]).data]\n", "\n", " # Merge with chunk metadata\n", " chunks_embedded = []\n", " for chunk, embedding in zip(chunks, embeddings, strict=True):\n", - " chunk_embedded = Chunk(\n", - " uuid=USER_UUID,\n", - " creator_user_uuid=chunk.metadata['creator_user_uuid'],\n", - " parent_file_uuid=chunk.metadata['parent_file_uuid'],\n", - " index=chunk.metadata['index'],\n", - " text=chunk.page_content,\n", - " metadata=chunk.metadata,\n", - " embedding=embedding,\n", - " )\n", + "\n", + " chunk_embedded = dict(chunk)\n", + " chunk_embedded['text'] = chunk_embedded.pop('page_content')\n", + " chunk_embedded['metadata']['creator_user_uuid'] = str(chunk_embedded['metadata']['creator_user_uuid'])\n", + " chunk_embedded['metadata']['parent_file_uuid'] = str(chunk_embedded['metadata']['parent_file_uuid'])\n", + " chunk_embedded['metadata']['created_datetime'] = str(chunk_embedded['metadata']['created_datetime'])\n", + " chunk_embedded['embedding'] = embedding\n", + " chunk_embedded['uuid'] = None\n", + " \n", " chunks_embedded.append(chunk_embedded)\n", "\n", + " import json\n", + "\n", " # Write\n", " with jsonlines.open(V_EMBEDDINGS / f'{MODEL}.jsonl', mode=\"w\") as writer:\n", " for chunk_embedded in chunks_embedded:\n", - " writer.write(chunk_embedded.model_dump_json())\n", + " writer.write(json.dumps(chunk_embedded))\n", + "\n", + " return chunks_embedded\n", + "\n", "\n", "file_chunks = chunk_files(file_path = V_RAW)\n", - "embed_chunks(chunks = file_chunks, model = SentenceTransformerDB)" + "emebedded_chunks = embed_chunks(chunks = file_chunks, model = SentenceTransformerDB)" ] }, { diff --git a/notebooks/evaluation/rag_experiments.py b/notebooks/evaluation/rag_experiments.py index d64f7fe4e..d98f683a6 100644 --- a/notebooks/evaluation/rag_experiments.py +++ b/notebooks/evaluation/rag_experiments.py @@ -127,7 +127,7 @@ def load_chunks_from_jsonl_to_index(self) -> set: body=chunk, ) - file_uuids.add(chunk["parent_file_uuid"]) + file_uuids.add(chunk["metadata"]["parent_file_uuid"]) self.FILE_UUIDS = file_uuids return file_uuids @@ -229,8 +229,6 @@ def get_rag_results( dict_chunk = dict(chunk) filtered_chunk = { "page_content": dict_chunk["page_content"], - "page_number": dict_chunk["metadata"]["page_number"], - "parent_file_uuid": dict_chunk["metadata"]["parent_file_uuid"], } filtered_chunks.append(filtered_chunk) @@ -401,14 +399,17 @@ def loop_through_experiements(self): self.do_evaluation() self.write_evaluation_results() - def empirical_ci(self, df: pd.DataFrame) -> pd.DataFrame: + def pass_rate(x): + return pd.Series({'pass_rate' : (round((x >= 0.5).mean(), 4)) * 100}) + + def empirical_ci_and_pass_rate(self, df: pd.DataFrame) -> pd.DataFrame: """ - Calculate confidence intervals for aggregated metrics. + Calculate confidence intervals and pass rates for aggregated metrics. """ - + df_grouped = ( df.groupby(["experiment_name", "metric_name"])["score"] - .agg(["mean", "sem", "min", "max", "count"]) + .agg(["mean", "sem", "min", "max", "count", self.pass_rate]) .reset_index() ) @@ -423,7 +424,7 @@ def empirical_ci(self, df: pd.DataFrame) -> pd.DataFrame: def create_visualisation_plus_grouped_results(self): """ - This function uses the stored experiment result to save the aggregated metics using empirical_ci(). + This function uses the stored experiment result to save the aggregated metics using empirical_ci_and_pass_rate(). It also saves a barplot (here confidence intervals are calculated by bootstrapping). """ experiments = [] @@ -435,11 +436,16 @@ def create_visualisation_plus_grouped_results(self): experiments_df = pd.concat(experiments) - barplot = sns.barplot(experiments_df, x="score", y="metric_name", hue="experiment_name", errorbar=("ci", 95)) - fig = barplot.get_figure() - fig.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_boxplot.png", bbox_inches="tight") + barplot_scores = sns.barplot(experiments_df, x="score", y="metric_name", hue="experiment_name", errorbar=("ci", 95)) + fig_scores = barplot_scores.get_figure() + fig_scores.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_barplot_scores.png", bbox_inches="tight") + + experiment_metrics = self.empirical_ci_and_pass_rate(experiments_df) + + barplot_pass_rate = sns.barplot(experiment_metrics, x="pass_rate", y="metric_name", hue="experiment_name") + fig_pass_rate = barplot_pass_rate.get_figure() + fig_pass_rate.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_barplot_pass_rates.png", bbox_inches="tight") - experiment_metrics = self.empirical_ci(experiments_df) experiment_metrics.to_csv(f"{self.V_RESULTS}/{self.experiment_file_name}_eval_results_full.csv") From e5ef54929fbadfbd904fc9649830e2a065f5c12a Mon Sep 17 00:00:00 2001 From: esoutter Date: Fri, 9 Aug 2024 14:38:26 +0100 Subject: [PATCH 082/153] revert to default values; update plot and table outputs --- .../rag_create_evaluation_dataset.ipynb | 4 +- notebooks/evaluation/rag_experiments.py | 46 +++++++++++++------ 2 files changed, 34 insertions(+), 16 deletions(-) diff --git a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb index 14b602aa7..4cbd40b27 100644 --- a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb +++ b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb @@ -190,7 +190,7 @@ "metadata": {}, "outputs": [], "source": [ - "DATA_VERSION = \"0.5.0\"" + "DATA_VERSION = \"\"" ] }, { @@ -406,7 +406,7 @@ "source": [ "# generate testset\n", "testset = generator.generate_with_langchain_docs(\n", - " documents, test_size=30, distributions={simple: 0.4, reasoning: 0.3, multi_context: 0.3}\n", + " documents, test_size=10, distributions={simple: 0.4, reasoning: 0.3, multi_context: 0.3}\n", ")" ] }, diff --git a/notebooks/evaluation/rag_experiments.py b/notebooks/evaluation/rag_experiments.py index d98f683a6..7486dd263 100644 --- a/notebooks/evaluation/rag_experiments.py +++ b/notebooks/evaluation/rag_experiments.py @@ -5,8 +5,10 @@ from pathlib import Path from typing import Annotated +import matplotlib.pyplot as plt import click import jsonlines +from onnx import EXPERIMENTAL import pandas as pd import seaborn as sns from deepeval import evaluate @@ -359,7 +361,7 @@ def write_evaluation_results(self) -> None: .drop(columns=["success", "metrics_metadata"]) ) - evaluation.to_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv", index=False) + evaluation.to_csv(f"{self.V_RESULTS}/{self.experiment_name}_eval_results.csv", index=False) evaluation.head() def load_experiment_param_data( @@ -398,21 +400,24 @@ def loop_through_experiements(self): self.write_rag_results() self.do_evaluation() self.write_evaluation_results() - - def pass_rate(x): - return pd.Series({'pass_rate' : (round((x >= 0.5).mean(), 4)) * 100}) def empirical_ci_and_pass_rate(self, df: pd.DataFrame) -> pd.DataFrame: """ Calculate confidence intervals and pass rates for aggregated metrics. """ + + def pass_rate(x): + return pd.Series({'pass_rate' : (round((x >= 0.5).mean(), 4)) * 100}) df_grouped = ( df.groupby(["experiment_name", "metric_name"])["score"] - .agg(["mean", "sem", "min", "max", "count", self.pass_rate]) + .agg(["mean", "sem", "min", "max", "count", pass_rate]) .reset_index() ) + # Pass-rate minus 1 for hallucination as lower values are better + df_grouped.loc[df_grouped['metric_name'] == 'Hallucination', 'pass_rate'] = 100 - df_grouped.loc[df_grouped['metric_name'] == 'Hallucination', 'pass_rate'] + ci = stats.t.interval( confidence=0.95, df=df_grouped["count"] - 1, loc=df_grouped["mean"], scale=df_grouped["sem"] ) @@ -420,6 +425,12 @@ def empirical_ci_and_pass_rate(self, df: pd.DataFrame) -> pd.DataFrame: df_grouped["ci_low"] = ci[0] df_grouped["ci_high"] = ci[1] + # Sort metric names by input dataframe order + df_grouped['metric_name'] = pd.Categorical(df_grouped['metric_name'], + df['metric_name'].unique()) + + df_grouped.sort_values(['experiment_name', 'metric_name'], inplace = True) + return df_grouped def create_visualisation_plus_grouped_results(self): @@ -430,23 +441,30 @@ def create_visualisation_plus_grouped_results(self): experiments = [] experiment_names = self.experiment_parameters["experiment_name"] for experiment_name in experiment_names: - experiment = pd.read_csv(f"{self.V_RESULTS}/{self.experiment_name}_val_results.csv") + experiment = pd.read_csv(f"{self.V_RESULTS}/{self.experiment_name}_eval_results.csv") experiment["experiment_name"] = experiment_name experiments.append(experiment) experiments_df = pd.concat(experiments) - barplot_scores = sns.barplot(experiments_df, x="score", y="metric_name", hue="experiment_name", errorbar=("ci", 95)) - fig_scores = barplot_scores.get_figure() - fig_scores.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_barplot_scores.png", bbox_inches="tight") - experiment_metrics = self.empirical_ci_and_pass_rate(experiments_df) + experiment_metrics.to_csv(f"{self.V_RESULTS}/{self.experiment_file_name}_eval_results_full.csv") - barplot_pass_rate = sns.barplot(experiment_metrics, x="pass_rate", y="metric_name", hue="experiment_name") - fig_pass_rate = barplot_pass_rate.get_figure() - fig_pass_rate.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_barplot_pass_rates.png", bbox_inches="tight") + # Plot + fig, ax = plt.subplots(nrows = 2, figsize = (6, 8)) + + sns.barplot(experiments_df, x="score", y="metric_name", hue='experiment_name', errorbar=('ci', 95), ax = ax[0]) + ax[0].set(xlabel = 'Mean score', ylabel = 'Metric name', xlim = (0, 1)) + ax[0].legend(title = '', fontsize = 9, loc = 'upper right') + + sns.barplot(experiment_metrics, x="pass_rate", y="metric_name", hue="experiment_name", ax = ax[1]) + ax[1].set(xlabel = 'Pass rate (%)', ylabel = 'Metric name', xlim = (0, 100)) + ax[1].legend(title = '', fontsize = 9, loc = 'upper right') + + plt.tight_layout() + + plt.savefig(f"{self.V_RESULTS}/{self.experiment_file_name}_eval_barplots.png") - experiment_metrics.to_csv(f"{self.V_RESULTS}/{self.experiment_file_name}_eval_results_full.csv") class Mutex(click.Option): From 74f72af126200599ba3696ff1c4325ab1d0f2dab Mon Sep 17 00:00:00 2001 From: esoutter Date: Fri, 9 Aug 2024 14:39:59 +0100 Subject: [PATCH 083/153] move redundant imports --- notebooks/evaluation/rag_create_evaluation_dataset.ipynb | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb index 4cbd40b27..e287a8804 100644 --- a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb +++ b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb @@ -536,8 +536,8 @@ "source": [ "import glob\n", "import sys\n", - "sys.path.append('/Users/euansoutter/Documents/code/redbox-copilot/')\n", "from worker.src.loader import UnstructuredDocumentLoader\n", + "import json\n", "\n", "def chunk_files(\n", " file_path: str\n", @@ -595,8 +595,6 @@ " \n", " chunks_embedded.append(chunk_embedded)\n", "\n", - " import json\n", - "\n", " # Write\n", " with jsonlines.open(V_EMBEDDINGS / f'{MODEL}.jsonl', mode=\"w\") as writer:\n", " for chunk_embedded in chunks_embedded:\n", From f7c7c125bbc5c3fc5361fa75696feb5e17359062 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 9 Aug 2024 14:45:04 +0100 Subject: [PATCH 084/153] user model updates --- django_app/redbox_app/redbox_core/models.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index a68d3e1e7..278210507 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -100,6 +100,12 @@ class SSOUser(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): ) grade = models.CharField(null=True, blank=True, max_length=3) profession = models.CharField(null=True, blank=True, max_length=4) + name = models.CharField(null=True, blank=True) + ai_experience = models.CharField( + null=True, + blank=True, + max_length=25, + ) USERNAME_FIELD = "username" REQUIRED_FIELDS = [] From 7824b577e7b7eebd52defb430bcf5335070a677f Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 9 Aug 2024 15:00:06 +0100 Subject: [PATCH 085/153] update django lock --- django_app/poetry.lock | 516 ++++++++++++++++++++++------------------- 1 file changed, 282 insertions(+), 234 deletions(-) diff --git a/django_app/poetry.lock b/django_app/poetry.lock index 3a95bddab..bd2dcff93 100644 --- a/django_app/poetry.lock +++ b/django_app/poetry.lock @@ -27,31 +27,32 @@ files = [ [[package]] name = "attrs" -version = "23.2.0" +version = "24.2.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.7" files = [ - {file = "attrs-23.2.0-py3-none-any.whl", hash = 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"pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] [[package]] name = "autobahn" -version = "23.6.2" +version = "24.4.2" description = "WebSocket client & server library, WAMP real-time framework" optional = false python-versions = ">=3.9" files = [ - {file = "autobahn-23.6.2.tar.gz", hash = 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"82bbb8e750d6c3636c24f993b1b8ddc9d0c63aad1b05f10dd1405d90cf8f8d88" +content-hash = "0a869f112d5598f2853778c3a93d0b236c0cb0c6fddfd6335b11bf8bce6ddbdc" From c63da32b387aef8f9b2f21b71ba5ddb357d6f9b7 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 9 Aug 2024 15:59:39 +0100 Subject: [PATCH 086/153] test logs --- redbox-core/redbox/models/settings.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 5b840ffd4..6a942cecb 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -240,6 +240,8 @@ class Settings(BaseSettings): @lru_cache(1) def elasticsearch_client(self) -> Elasticsearch: + log.info(self.elastic) + log.info("isinstance %s", isinstance(self.elastic, ElasticLocalSettings)) if isinstance(self.elastic, ElasticLocalSettings): log.info("Connecting to self managed Elasticsearch") log.info("Elasticsearch host = %s", self.elastic.host) From 6b7a84f986b1507668f1c523f2045c687c04e37c Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 9 Aug 2024 16:36:33 +0100 Subject: [PATCH 087/153] remove cache to see if it fixes worker --- redbox-core/redbox/models/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 6a942cecb..0f968f938 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -238,7 +238,7 @@ class Settings(BaseSettings): env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True ) - @lru_cache(1) + # @lru_cache(1) def elasticsearch_client(self) -> Elasticsearch: log.info(self.elastic) log.info("isinstance %s", isinstance(self.elastic, ElasticLocalSettings)) From f0d4b35653e9dbe958ab27ef867c1268e0ced547 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 9 Aug 2024 16:59:58 +0100 Subject: [PATCH 088/153] test change comment out elastic cloud cluster --- redbox-core/redbox/models/settings.py | 38 +++++++++++++-------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 0f968f938..63035bef7 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -242,28 +242,28 @@ class Settings(BaseSettings): def elasticsearch_client(self) -> Elasticsearch: log.info(self.elastic) log.info("isinstance %s", isinstance(self.elastic, ElasticLocalSettings)) - if isinstance(self.elastic, ElasticLocalSettings): - log.info("Connecting to self managed Elasticsearch") - log.info("Elasticsearch host = %s", self.elastic.host) - return Elasticsearch( - hosts=[ - { - "host": self.elastic.host, - "port": self.elastic.port, - "scheme": self.elastic.scheme, - } - ], - basic_auth=(self.elastic.user, self.elastic.password), - ) - - log.info("Connecting to Elastic Cloud Cluster") - log.info("Cloud ID = %s", self.elastic.cloud_id) - log.info("Elastic Cloud API Key = %s", self.elastic.api_key) - + # if isinstance(self.elastic, ElasticLocalSettings): + log.info("Connecting to self managed Elasticsearch") + log.info("Elasticsearch host = %s", self.elastic.host) return Elasticsearch( - cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key + hosts=[ + { + "host": self.elastic.host, + "port": self.elastic.port, + "scheme": self.elastic.scheme, + } + ], + basic_auth=(self.elastic.user, self.elastic.password), ) + # log.info("Connecting to Elastic Cloud Cluster") + # log.info("Cloud ID = %s", self.elastic.cloud_id) + # log.info("Elastic Cloud API Key = %s", self.elastic.api_key) + + # return Elasticsearch( + # cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key + # ) + def s3_client(self): if self.object_store == "minio": client = boto3.client( From e46c9f867444d22a6d98ca101c0f1354db34b24a Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 9 Aug 2024 17:34:42 +0100 Subject: [PATCH 089/153] change redbox reference and revert settings changes --- redbox-core/redbox/models/settings.py | 42 +++++++++++++-------------- worker/pyproject.toml | 2 +- 2 files changed, 21 insertions(+), 23 deletions(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 63035bef7..5b840ffd4 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -238,31 +238,29 @@ class Settings(BaseSettings): env_file=".env", env_nested_delimiter="__", extra="allow", frozen=True ) - # @lru_cache(1) + @lru_cache(1) def elasticsearch_client(self) -> Elasticsearch: - log.info(self.elastic) - log.info("isinstance %s", isinstance(self.elastic, ElasticLocalSettings)) - # if isinstance(self.elastic, ElasticLocalSettings): - log.info("Connecting to self managed Elasticsearch") - log.info("Elasticsearch host = %s", self.elastic.host) - return Elasticsearch( - hosts=[ - { - "host": self.elastic.host, - "port": self.elastic.port, - "scheme": self.elastic.scheme, - } - ], - basic_auth=(self.elastic.user, self.elastic.password), - ) + if isinstance(self.elastic, ElasticLocalSettings): + log.info("Connecting to self managed Elasticsearch") + log.info("Elasticsearch host = %s", self.elastic.host) + return Elasticsearch( + hosts=[ + { + "host": self.elastic.host, + "port": self.elastic.port, + "scheme": self.elastic.scheme, + } + ], + basic_auth=(self.elastic.user, self.elastic.password), + ) - # log.info("Connecting to Elastic Cloud Cluster") - # log.info("Cloud ID = %s", self.elastic.cloud_id) - # log.info("Elastic Cloud API Key = %s", self.elastic.api_key) + log.info("Connecting to Elastic Cloud Cluster") + log.info("Cloud ID = %s", self.elastic.cloud_id) + log.info("Elastic Cloud API Key = %s", self.elastic.api_key) - # return Elasticsearch( - # cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key - # ) + return Elasticsearch( + cloud_id=self.elastic.cloud_id, api_key=self.elastic.api_key + ) def s3_client(self): if self.object_store == "minio": diff --git a/worker/pyproject.toml b/worker/pyproject.toml index 0e4e7ffe6..7afe3bd42 100644 --- a/worker/pyproject.toml +++ b/worker/pyproject.toml @@ -12,7 +12,7 @@ readme = "../README.md" [tool.poetry.dependencies] python = ">=3.12,<3.13" -redbox = {git = "https://github.com/i-dot-ai/redbox.git", rev = "1f9e018", subdirectory = "redbox-core"} +redbox = {path="../redbox-core", develop=true} langchain = "^0.2.6" langchain-elasticsearch = "^0.2.2" elasticsearch = "^8.14.0" From 50dabdb87b756ae65069a05d4da09ce1917b5752 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Fri, 9 Aug 2024 17:37:58 +0100 Subject: [PATCH 090/153] updating poetry lock for worker --- worker/poetry.lock | 2085 ++++++++++++++++++++++++-------------------- 1 file changed, 1120 insertions(+), 965 deletions(-) diff --git a/worker/poetry.lock b/worker/poetry.lock index bcd5d432d..ca1201117 100644 --- a/worker/poetry.lock +++ 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(<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] @@ -5533,26 +5688,26 @@ natten = ["natten (>=0.14.6,<0.15.0)"] onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"] onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.4.4)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] -ruff = ["ruff (==0.4.4)"] +ruff = ["ruff (==0.5.1)"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] -tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] -tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm (<=0.9.16)"] tokenizers = ["tokenizers (>=0.19,<0.20)"] torch = ["accelerate (>=0.21.0)", "torch"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17,<2.0)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -5751,13 +5906,13 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"] [[package]] name = "unstructured-client" -version = "0.24.1" +version = "0.25.4" description = "Python Client SDK for Unstructured API" optional = false python-versions = ">=3.8" files = [ - {file = "unstructured-client-0.24.1.tar.gz", hash = "sha256:1bd82a532497783dd77b30ed4e56837d6abfae8cc6d61442acac0bcacbd568c8"}, - {file = "unstructured_client-0.24.1-py3-none-any.whl", hash = "sha256:044dab0c3079f908f6adf7088ad44f0e17476b47e2b04e0de608134a482bd0e3"}, + {file = "unstructured-client-0.25.4.tar.gz", hash = "sha256:28c71b19e239d25d2fc6f1150f7cf6cbd90532b262b703b017e64558369e96bf"}, + {file = "unstructured_client-0.25.4-py3-none-any.whl", hash = "sha256:e76248b52866bd5853de607cdaf17e4fae7c95aa44e152a43178dc8923af6793"}, ] [package.dependencies] @@ -6080,4 +6235,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = "631d7a7c84fac5b2e0d43f3f305b7c71ac198bdd9d6e2d446bef5857b065d581" +content-hash = "a3c3f2c3e3d7b6ef80b95a996e04c78f80617ff2ce87d8f1aeebc0121e6a52ec" From f93805fd9cefd783eb531df7a4dfb0c06e1639fc Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Mon, 12 Aug 2024 14:39:03 +0100 Subject: [PATCH 091/153] default STREAMLIT_HOST --- django_app/redbox_app/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 019ae7fd4..f31b2fd33 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -368,4 +368,4 @@ LOGIN_REDIRECT_URL = "homepage" LOGIN_URL = "sign-in" -STREAMLIT_HOST = env.str("STREAMLIT_HOST") +STREAMLIT_HOST = env.str("STREAMLIT_HOST", "") From 2dfff9f523f95f9adf1bbc534860161bda56c2d7 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Mon, 12 Aug 2024 15:02:50 +0100 Subject: [PATCH 092/153] remove conditional import --- django_app/redbox_app/redbox_core/models.py | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index 278210507..0425363b8 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -6,20 +6,17 @@ import boto3 from botocore.config import Config from django.conf import settings +from django.contrib.auth.base_user import BaseUserManager as BaseSSOUserManager +from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin from django.contrib.postgres.fields import ArrayField from django.core import validators from django.db import models from django.utils import timezone from django.utils.translation import gettext_lazy as _ +from django_use_email_as_username.models import BaseUser, BaseUserManager from jose import jwt from yarl import URL -if settings.LOGIN_METHOD == "sso": - from django.contrib.auth.base_user import BaseUserManager - from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin -else: - from django_use_email_as_username.models import BaseUser, BaseUserManager - logger = logging.getLogger(__name__) @@ -52,7 +49,7 @@ def __str__(self) -> str: # pragma: no cover return f"{self.name}" -class SSOUserManager(BaseUserManager): +class SSOUserManager(BaseSSOUserManager): use_in_migrations = True From 1034d28e7b293ecfaf9a45ce2e3e9f5215281e22 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Mon, 12 Aug 2024 16:01:56 +0100 Subject: [PATCH 093/153] comment out streamlit url as view delete :( --- django_app/redbox_app/urls.py | 27 +++++++++++++++++++++------ 1 file changed, 21 insertions(+), 6 deletions(-) diff --git a/django_app/redbox_app/urls.py b/django_app/redbox_app/urls.py index c774606e5..43694bcd1 100644 --- a/django_app/redbox_app/urls.py +++ b/django_app/redbox_app/urls.py @@ -39,9 +39,13 @@ chat_urlpatterns = [ path("chats//", views.ChatsView.as_view(), name="chats"), path("chats/", views.ChatsView.as_view(), name="chats"), - path("chat//title/", views.ChatsTitleView.as_view(), name="chat-titles"), + path( + "chat//title/", views.ChatsTitleView.as_view(), name="chat-titles" + ), path("post-message/", views.post_message, name="post-message"), - path("citations//", views.CitationsView.as_view(), name="citations"), + path( + "citations//", views.CitationsView.as_view(), name="citations" + ), path("ratings//", views.RatingsView.as_view(), name="ratings"), ] @@ -54,14 +58,25 @@ path("", views.homepage_view, name="homepage"), path("health/", views.health, name="health"), path("file-status/", views.file_status_api_view, name="file-status"), - path("check-demographics/", views.CheckDemographicsView.as_view(), name="check-demographics"), + path( + "check-demographics/", + views.CheckDemographicsView.as_view(), + name="check-demographics", + ), path("demographics/", views.DemographicsView.as_view(), name="demographics"), - path("streamlit/", views.streamlit_view, name="streamlit_view"), + # path("streamlit/", views.streamlit_view, name="streamlit_view"), ] urlpatterns = ( - info_urlpatterns + other_urlpatterns + auth_urlpatterns + chat_urlpatterns + file_urlpatterns + admin_urlpatterns + info_urlpatterns + + other_urlpatterns + + auth_urlpatterns + + chat_urlpatterns + + file_urlpatterns + + admin_urlpatterns ) if settings.DEBUG: - urlpatterns = urlpatterns + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) + urlpatterns = urlpatterns + static( + settings.STATIC_URL, document_root=settings.STATIC_ROOT + ) From e25f0d15df1af74db6623bdf7e4c52e65d21d198 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Mon, 12 Aug 2024 19:32:47 +0100 Subject: [PATCH 094/153] User model clash work around --- django_app/redbox_app/redbox_core/models.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index 0425363b8..ad3921f63 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -103,6 +103,16 @@ class SSOUser(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): blank=True, max_length=25, ) + # To avoid clashing with User Model + user_permissions = models.ManyToManyField( + "auth.Permission", + verbose_name="user permissions", + blank=True, + related_name="sso_user_set", + ) + user_permissions = models.ManyToManyField( + "auth.Group", verbose_name="groups", blank=True, related_name="sso_user_set" + ) USERNAME_FIELD = "username" REQUIRED_FIELDS = [] From 9a5824af5b98bbb462424c1d8556d1c1fcb50ed9 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Mon, 12 Aug 2024 19:41:32 +0100 Subject: [PATCH 095/153] fix reference --- django_app/redbox_app/redbox_core/models.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index ad3921f63..12b674172 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -7,7 +7,7 @@ from botocore.config import Config from django.conf import settings from django.contrib.auth.base_user import BaseUserManager as BaseSSOUserManager -from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin +from django.contrib.auth.models import AbstractBaseUser, Group, PermissionsMixin from django.contrib.postgres.fields import ArrayField from django.core import validators from django.db import models @@ -111,7 +111,7 @@ class SSOUser(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): related_name="sso_user_set", ) user_permissions = models.ManyToManyField( - "auth.Group", verbose_name="groups", blank=True, related_name="sso_user_set" + Group, verbose_name="groups", blank=True, related_name="sso_user_set" ) USERNAME_FIELD = "username" From 2f56e6919a1b3f4b1d318eae8da84a8e82b51401 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Mon, 12 Aug 2024 19:53:01 +0100 Subject: [PATCH 096/153] fix Group reference --- django_app/redbox_app/redbox_core/models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index 12b674172..83f9d7eb1 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -110,7 +110,7 @@ class SSOUser(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): blank=True, related_name="sso_user_set", ) - user_permissions = models.ManyToManyField( + groups = models.ManyToManyField( Group, verbose_name="groups", blank=True, related_name="sso_user_set" ) From 79dc6c122bb8f58e6f8e05aad03855799da750d2 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 13 Aug 2024 17:06:40 +0100 Subject: [PATCH 097/153] remove hard coding of user model --- django_app/redbox_app/settings.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index f31b2fd33..38e57e2e8 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -70,11 +70,12 @@ "import_export", ] -AUTH_USER_MODEL = "redbox_core.User" if LOGIN_METHOD == "sso": INSTALLED_APPS.append("authbroker_client") AUTH_USER_MODEL = "redbox_core.SSOUser" +else: + AUTH_USER_MODEL = "redbox_core.User" MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", @@ -153,7 +154,6 @@ USE_TZ = True DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField" SITE_ID = 1 -AUTH_USER_MODEL = "redbox_core.User" ACCOUNT_EMAIL_VERIFICATION = "none" # CSP settings https://content-security-policy.com/ From eb1e1261fa930dce3c7b70261b10e53cb8c57749 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 13 Aug 2024 17:08:13 +0100 Subject: [PATCH 098/153] default login method to magic link --- django_app/redbox_app/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 38e57e2e8..0bb838aa7 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -19,7 +19,7 @@ SECRET_KEY = env.str("DJANGO_SECRET_KEY") ENVIRONMENT = Environment[env.str("ENVIRONMENT").upper()] WEBSOCKET_SCHEME = "ws" if ENVIRONMENT.is_test else "wss" -LOGIN_METHOD = env.str("LOGIN_METHOD") +LOGIN_METHOD = env.str("LOGIN_METHOD", "magic_link") if env.str("HOSTS", ""): env_hosts = env.str("HOSTS", "").split(",") From baafc9688c406dc87d1513f4e42005f556ac1e49 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 13 Aug 2024 17:39:45 +0100 Subject: [PATCH 099/153] fix user model reference --- .../redbox_core/views/demographics_views.py | 15 ++++++++++++--- django_app/tests/views/test_misc_views.py | 3 ++- 2 files changed, 14 insertions(+), 4 deletions(-) diff --git a/django_app/redbox_app/redbox_core/views/demographics_views.py b/django_app/redbox_app/redbox_core/views/demographics_views.py index 992cb7e50..b68552dc5 100644 --- a/django_app/redbox_app/redbox_core/views/demographics_views.py +++ b/django_app/redbox_app/redbox_core/views/demographics_views.py @@ -1,5 +1,6 @@ import logging +from django.contrib.auth import get_user_model from django.contrib.auth.decorators import login_required from django.contrib.auth.mixins import LoginRequiredMixin from django.http import HttpRequest, HttpResponse @@ -7,9 +8,9 @@ from django.utils.decorators import method_decorator from django.views import View from django.views.generic import UpdateView - from redbox_app.redbox_core.forms import DemographicsForm -from redbox_app.redbox_core.models import User + +User = get_user_model() logger = logging.getLogger(__name__) @@ -18,7 +19,15 @@ class CheckDemographicsView(View): @method_decorator(login_required) def get(self, request: HttpRequest) -> HttpResponse: user: User = request.user - if all([user.name, user.ai_experience, user.grade, user.business_unit, user.profession]): + if all( + [ + user.name, + user.ai_experience, + user.grade, + user.business_unit, + user.profession, + ] + ): return redirect("chats") else: return redirect("demographics") diff --git a/django_app/tests/views/test_misc_views.py b/django_app/tests/views/test_misc_views.py index fc6ca6ffa..ba8eaebd7 100644 --- a/django_app/tests/views/test_misc_views.py +++ b/django_app/tests/views/test_misc_views.py @@ -2,9 +2,10 @@ from http import HTTPStatus import pytest +from django.contrib.auth import get_user_model from django.test import Client -from redbox_app.redbox_core.models import User +User = get_user_model() logger = logging.getLogger(__name__) From a42dddd8c7e850fb7b57c0ae53f01dfdfca99c6a Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 13 Aug 2024 18:08:14 +0100 Subject: [PATCH 100/153] more references --- django_app/redbox_app/redbox_core/admin.py | 48 ++++++++++++++----- .../redbox_app/redbox_core/auth_views.py | 17 ++++--- 2 files changed, 46 insertions(+), 19 deletions(-) diff --git a/django_app/redbox_app/redbox_core/admin.py b/django_app/redbox_app/redbox_core/admin.py index 494fc7822..58177fa1c 100644 --- a/django_app/redbox_app/redbox_core/admin.py +++ b/django_app/redbox_app/redbox_core/admin.py @@ -3,15 +3,17 @@ from django.conf import settings from django.contrib import admin +from django.contrib.auth import get_user_model from django.db.models import QuerySet from django.http import HttpResponse from import_export.admin import ImportMixin -from requests.exceptions import RequestException - from redbox_app.redbox_core.client import CoreApiClient +from requests.exceptions import RequestException from . import models +# User = get_user_model() + logger = logging.getLogger(__name__) core_api = CoreApiClient(host=settings.CORE_API_HOST, port=settings.CORE_API_PORT) @@ -69,7 +71,9 @@ def reupload(self, request, queryset): # noqa:ARG002 logger.info("Re-uploading file to core-api: %s", file) core_api.reingest_file(file.core_file_uuid, file.user) except RequestException as e: - logger.exception("Error re-uploading File model object %s.", file, exc_info=e) + logger.exception( + "Error re-uploading File model object %s.", file, exc_info=e + ) file.status = models.StatusEnum.errored file.save() else: @@ -78,7 +82,13 @@ def reupload(self, request, queryset): # noqa:ARG002 logger.info("Successfully reuploaded file %s.", file) - list_display = ["original_file_name", "user", "status", "created_at", "last_referenced"] + list_display = [ + "original_file_name", + "user", + "status", + "created_at", + "last_referenced", + ] list_filter = ["user", "status"] date_hierarchy = "created_at" actions = ["reupload"] @@ -112,9 +122,15 @@ class ChatMessageInline(admin.StackedInline): class ChatHistoryAdmin(admin.ModelAdmin): def export_as_csv(self, request, queryset: QuerySet): # noqa:ARG002 - history_field_names: list[str] = [field.name for field in models.ChatHistory._meta.fields] # noqa:SLF001 - message_field_names: list[str] = [field.name for field in models.ChatMessage._meta.fields] # noqa:SLF001 - rating_field_names: list[str] = [field.name for field in models.ChatMessageRating._meta.fields] # noqa:SLF001 + history_field_names: list[str] = [ + field.name for field in models.ChatHistory._meta.fields + ] # noqa:SLF001 + message_field_names: list[str] = [ + field.name for field in models.ChatMessage._meta.fields + ] # noqa:SLF001 + rating_field_names: list[str] = [ + field.name for field in models.ChatMessageRating._meta.fields + ] # noqa:SLF001 response = HttpResponse(content_type="text/csv") response["Content-Disposition"] = "attachment; filename=chathistory.csv" @@ -131,13 +147,21 @@ def export_as_csv(self, request, queryset: QuerySet): # noqa:ARG002 chat_message_rating: models.ChatMessageRating for chat_history in queryset: for chat_message in chat_history.chatmessage_set.all(): - row = [getattr(chat_history, field) for field in history_field_names] + [ - getattr(chat_message, field) for field in message_field_names - ] + row = [ + getattr(chat_history, field) for field in history_field_names + ] + [getattr(chat_message, field) for field in message_field_names] if hasattr(chat_message, "chatmessagerating"): chat_message_rating = chat_message.chatmessagerating - row += [getattr(chat_message_rating, field) for field in rating_field_names] - row += [", ".join(c.text for c in chat_message_rating.chatmessageratingchip_set.all())] + row += [ + getattr(chat_message_rating, field) + for field in rating_field_names + ] + row += [ + ", ".join( + c.text + for c in chat_message_rating.chatmessageratingchip_set.all() + ) + ] writer.writerow(row) return response diff --git a/django_app/redbox_app/redbox_core/auth_views.py b/django_app/redbox_app/redbox_core/auth_views.py index 3938403da..eef0718ab 100644 --- a/django_app/redbox_app/redbox_core/auth_views.py +++ b/django_app/redbox_app/redbox_core/auth_views.py @@ -1,14 +1,15 @@ import logging -from django.contrib.auth import logout +from django.conf import settings +from django.contrib.auth import get_user_model, logout from django.http import HttpRequest from django.shortcuts import redirect, render from magic_link.models import MagicLink +from redbox_app.redbox_core import email_handler +from redbox_app.redbox_core.forms import SignInForm from requests import HTTPError -from django.conf import settings -from redbox_app.redbox_core import email_handler, models -from redbox_app.redbox_core.forms import SignInForm +User = get_user_model() logger = logging.getLogger(__name__) @@ -24,11 +25,13 @@ def sign_in_view(request: HttpRequest): email = form.cleaned_data["email"].lower() try: - user = models.User.objects.get(email=email) - link = MagicLink.objects.create(user=user, redirect_to="/check-demographics") + user = User.objects.get(email=email) + link = MagicLink.objects.create( + user=user, redirect_to="/check-demographics" + ) full_link = request.build_absolute_uri(link.get_absolute_url()) email_handler.send_magic_link_email(full_link, email) - except models.User.DoesNotExist as e: + except User.DoesNotExist as e: logger.debug("User with email %s not found", email, exc_info=e) except HTTPError as e: logger.exception("failed to send link to %s", email, exc_info=e) From a64370081db969021481025ca11c8806871fe3db Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 13 Aug 2024 18:27:29 +0100 Subject: [PATCH 101/153] update user model reference in admin --- django_app/redbox_app/redbox_core/admin.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/django_app/redbox_app/redbox_core/admin.py b/django_app/redbox_app/redbox_core/admin.py index 58177fa1c..c27ee97de 100644 --- a/django_app/redbox_app/redbox_core/admin.py +++ b/django_app/redbox_app/redbox_core/admin.py @@ -12,7 +12,7 @@ from . import models -# User = get_user_model() +User = get_user_model() logger = logging.getLogger(__name__) core_api = CoreApiClient(host=settings.CORE_API_HOST, port=settings.CORE_API_PORT) @@ -45,11 +45,11 @@ class UserAdmin(ImportMixin, admin.ModelAdmin): date_hierarchy = "last_login" @admin.display(ordering="ai_experience", description="AI Experience") - def get_ai(self, obj: models.User): + def get_ai(self, obj: User): return obj.ai_experience class Meta: - model = models.User + model = User fields = ["email"] import_id_fields = ["email"] @@ -184,7 +184,7 @@ def get_user(self, obj): return obj.chat_message.chat_history.users -admin.site.register(models.User, UserAdmin) +admin.site.register(User, UserAdmin) admin.site.register(models.File, FileAdmin) admin.site.register(models.ChatHistory, ChatHistoryAdmin) admin.site.register(models.ChatMessage, ChatMessageAdmin) From b9b7ac5a4fa66aef6d600589bf606aa7af615ec1 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 13 Aug 2024 18:27:42 +0100 Subject: [PATCH 102/153] go back to one user model --- django_app/redbox_app/redbox_core/models.py | 210 ++++++++++---------- django_app/redbox_app/settings.py | 5 +- 2 files changed, 107 insertions(+), 108 deletions(-) diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index 83f9d7eb1..ab40b80bf 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -82,7 +82,7 @@ def create_superuser(self, username, password, **extra_fields): return self._create_user(username, password, **extra_fields) -class SSOUser(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): +class User(AbstractBaseUser, PermissionsMixin, UUIDPrimaryKeyBase): username = models.EmailField(unique=True, default="default@default.co.uk") password = models.CharField(default="fakepassword") email = models.EmailField(unique=True) @@ -132,110 +132,110 @@ def get_bearer_token(self) -> str: return f"Bearer {bearer_token}" -class User(BaseUser, UUIDPrimaryKeyBase): - class UserGrade(models.TextChoices): - AA = "AA", _("AA") - AO = "AO", _("AO") - DEPUTY_DIRECTOR = "DD", _("Deputy Director") - DIRECTOR = "D", _("Director") - DIRECTOR_GENERAL = "DG", _("Director General") - EO = "EO", _("EO") - G6 = "G6", _("G6") - G7 = "G7", _("G7") - HEO = "HEO", _("HEO") - PS = "PS", _("Permanent Secretary") - SEO = "SEO", _("SEO") - OT = "OT", _("Other") - - class Profession(models.TextChoices): - AN = "AN", _("Analysis") - CM = "CMC", _("Commercial") - COM = "COM", _("Communications") - CFIN = "CFIN", _("Corporate finance") - CF = "CF", _("Counter fraud") - DDT = "DDT", _("Digital, data and technology") - EC = "EC", _("Economics") - FIN = "FIN", _("Finance") - FEDG = "FEDG", _("Fraud, error, debts and grants") - HR = "HR", _("Human resources") - IA = "IA", _("Intelligence analysis") - IAUD = "IAUD", _("Internal audit") - IT = "IT", _("International trade") - KIM = "KIM", _("Knowledge and information management") - LG = "LG", _("Legal") - MD = "MD", _("Medical") - OP = "OP", _("Occupational psychology") - OD = "OD", _("Operational delivery") - OR = "OR", _("Operational research") - PL = "PL", _("Planning") - PI = "PI", _("Planning inspection") - POL = "POL", _("Policy") - PD = "PD", _("Project delivery") - PR = "PR", _("Property") - SE = "SE", _("Science and engineering") - SC = "SC", _("Security") - SR = "SR", _("Social research") - ST = "ST", _("Statistics") - TX = "TX", _("Tax") - VET = "VET", _("Veterinary") - OT = "OT", _("Other") - - class AIExperienceLevel(models.TextChoices): - CURIOUS_NEWCOMER = "Curious Newcomer", _("I haven't used Generative AI tools") - CAUTIOUS_EXPLORER = "Cautious Explorer", _( - "I have a little experience using Generative AI tools" - ) - ENTHUSIASTIC_EXPERIMENTER = ( - "Enthusiastic Experimenter", - _( - "I occasionally use Generative AI tools but am still experimenting with their capabilities" - ), - ) - EXPERIENCED_NAVIGATOR = ( - "Experienced Navigator", - _( - "I use Generative AI tools regularly and have a good understanding of their strengths and limitations" - ), - ) - AI_ALCHEMIST = ( - "AI Alchemist", - _( - "I have extensive experience with Generative AI tools and can leverage them effectively in various " - "contexts" - ), - ) - - username = None - verified = models.BooleanField(default=False, blank=True, null=True) - invited_at = models.DateTimeField(default=None, blank=True, null=True) - invite_accepted_at = models.DateTimeField(default=None, blank=True, null=True) - last_token_sent_at = models.DateTimeField(editable=False, blank=True, null=True) - password = models.CharField("password", max_length=128, blank=True, null=True) - business_unit = models.ForeignKey( - BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL - ) - grade = models.CharField(null=True, blank=True, max_length=3, choices=UserGrade) - name = models.CharField(null=True, blank=True) - ai_experience = models.CharField( - null=True, blank=True, max_length=25, choices=AIExperienceLevel - ) - profession = models.CharField( - null=True, blank=True, max_length=4, choices=Profession - ) - objects = BaseUserManager() - - def __str__(self) -> str: # pragma: no cover - return f"{self.email}" - - def save(self, *args, **kwargs): - self.email = self.email.lower() - super().save(*args, **kwargs) - - def get_bearer_token(self) -> str: - """the bearer token expected by the core-api""" - user_uuid = str(self.id) - bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) - return f"Bearer {bearer_token}" +# class User(BaseUser, UUIDPrimaryKeyBase): +# class UserGrade(models.TextChoices): +# AA = "AA", _("AA") +# AO = "AO", _("AO") +# DEPUTY_DIRECTOR = "DD", _("Deputy Director") +# DIRECTOR = "D", _("Director") +# DIRECTOR_GENERAL = "DG", _("Director General") +# EO = "EO", _("EO") +# G6 = "G6", _("G6") +# G7 = "G7", _("G7") +# HEO = "HEO", _("HEO") +# PS = "PS", _("Permanent Secretary") +# SEO = "SEO", _("SEO") +# OT = "OT", _("Other") + +# class Profession(models.TextChoices): +# AN = "AN", _("Analysis") +# CM = "CMC", _("Commercial") +# COM = "COM", _("Communications") +# CFIN = "CFIN", _("Corporate finance") +# CF = "CF", _("Counter fraud") +# DDT = "DDT", _("Digital, data and technology") +# EC = "EC", _("Economics") +# FIN = "FIN", _("Finance") +# FEDG = "FEDG", _("Fraud, error, debts and grants") +# HR = "HR", _("Human resources") +# IA = "IA", _("Intelligence analysis") +# IAUD = "IAUD", _("Internal audit") +# IT = "IT", _("International trade") +# KIM = "KIM", _("Knowledge and information management") +# LG = "LG", _("Legal") +# MD = "MD", _("Medical") +# OP = "OP", _("Occupational psychology") +# OD = "OD", _("Operational delivery") +# OR = "OR", _("Operational research") +# PL = "PL", _("Planning") +# PI = "PI", _("Planning inspection") +# POL = "POL", _("Policy") +# PD = "PD", _("Project delivery") +# PR = "PR", _("Property") +# SE = "SE", _("Science and engineering") +# SC = "SC", _("Security") +# SR = "SR", _("Social research") +# ST = "ST", _("Statistics") +# TX = "TX", _("Tax") +# VET = "VET", _("Veterinary") +# OT = "OT", _("Other") + +# class AIExperienceLevel(models.TextChoices): +# CURIOUS_NEWCOMER = "Curious Newcomer", _("I haven't used Generative AI tools") +# CAUTIOUS_EXPLORER = "Cautious Explorer", _( +# "I have a little experience using Generative AI tools" +# ) +# ENTHUSIASTIC_EXPERIMENTER = ( +# "Enthusiastic Experimenter", +# _( +# "I occasionally use Generative AI tools but am still experimenting with their capabilities" +# ), +# ) +# EXPERIENCED_NAVIGATOR = ( +# "Experienced Navigator", +# _( +# "I use Generative AI tools regularly and have a good understanding of their strengths and limitations" +# ), +# ) +# AI_ALCHEMIST = ( +# "AI Alchemist", +# _( +# "I have extensive experience with Generative AI tools and can leverage them effectively in various " +# "contexts" +# ), +# ) + +# username = None +# verified = models.BooleanField(default=False, blank=True, null=True) +# invited_at = models.DateTimeField(default=None, blank=True, null=True) +# invite_accepted_at = models.DateTimeField(default=None, blank=True, null=True) +# last_token_sent_at = models.DateTimeField(editable=False, blank=True, null=True) +# password = models.CharField("password", max_length=128, blank=True, null=True) +# business_unit = models.ForeignKey( +# BusinessUnit, null=True, blank=True, on_delete=models.SET_NULL +# ) +# grade = models.CharField(null=True, blank=True, max_length=3, choices=UserGrade) +# name = models.CharField(null=True, blank=True) +# ai_experience = models.CharField( +# null=True, blank=True, max_length=25, choices=AIExperienceLevel +# ) +# profession = models.CharField( +# null=True, blank=True, max_length=4, choices=Profession +# ) +# objects = BaseUserManager() + +# def __str__(self) -> str: # pragma: no cover +# return f"{self.email}" + +# def save(self, *args, **kwargs): +# self.email = self.email.lower() +# super().save(*args, **kwargs) + +# def get_bearer_token(self) -> str: +# """the bearer token expected by the core-api""" +# user_uuid = str(self.id) +# bearer_token = jwt.encode({"user_uuid": user_uuid}, key=settings.SECRET_KEY) +# return f"Bearer {bearer_token}" class StatusEnum(models.TextChoices): diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 0bb838aa7..cd146bf1e 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -70,12 +70,11 @@ "import_export", ] +AUTH_USER_MODEL = "redbox_core.User" if LOGIN_METHOD == "sso": INSTALLED_APPS.append("authbroker_client") - AUTH_USER_MODEL = "redbox_core.SSOUser" -else: - AUTH_USER_MODEL = "redbox_core.User" + # AUTH_USER_MODEL = "redbox_core.SSOUser" MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", From 15cc29d1d703bf0c30f0ab2d08030b21f1668422 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 14 Aug 2024 08:05:10 +0100 Subject: [PATCH 103/153] add back sentence transformers embeddings --- core-api/poetry.lock | 11 - redbox-core/poetry.lock | 903 +++++++++++++++++++++- redbox-core/pyproject.toml | 1 + redbox-core/redbox/embeddings/__init__.py | 7 +- 4 files changed, 898 insertions(+), 24 deletions(-) diff --git a/core-api/poetry.lock b/core-api/poetry.lock index 3d10e4ac1..d1e7d4a90 100644 --- a/core-api/poetry.lock +++ b/core-api/poetry.lock @@ -2932,7 +2932,6 @@ files = [ {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"}, {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"}, {file = 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langchain_huggingface import HuggingFaceEmbeddings +from redbox.models.settings import Settings from .langchain import get_azure_embeddings, get_openai_embeddings -from redbox.models.settings import Settings def get_embeddings(env: Settings) -> Embeddings: @@ -9,5 +10,9 @@ def get_embeddings(env: Settings) -> Embeddings: return get_azure_embeddings(env) elif env.embedding_backend == "openai": return get_openai_embeddings(env) + elif env.embedding_backend == "sentencetransformers": + return HuggingFaceEmbeddings( + model_name=env.embedding_openai_model, + ) else: raise Exception("No configured embedding model") From 4053df6dcef6224dbeb14714b81881ed71331248 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 14 Aug 2024 08:09:08 +0100 Subject: [PATCH 104/153] add sentencetransformers as env option --- redbox-core/redbox/models/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 5b840ffd4..0fe176245 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -181,7 +181,7 @@ class Settings(BaseSettings): azure_embedding_model: str = "text-embedding-3-large" llm_max_tokens: int = 1024 - embedding_backend: Literal["azure", "openai"] = "azure" + embedding_backend: Literal["azure", "openai", "sentencetransformers"] = "azure" embedding_max_retries: int = 10 embedding_retry_min_seconds: int = 10 embedding_retry_max_seconds: int = 120 From 1764f000a69cde467b83bc4876f6e4326f8fcc58 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 14 Aug 2024 08:33:37 +0100 Subject: [PATCH 105/153] updating lock to pull in new redbox core? --- core-api/poetry.lock | 2590 +++++++++++++++++++++++++-------------- core-api/pyproject.toml | 1 + worker/poetry.lock | 746 ++++++----- worker/pyproject.toml | 1 + 4 files changed, 2099 insertions(+), 1239 deletions(-) diff --git a/core-api/poetry.lock b/core-api/poetry.lock index 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-5337,6 +5436,17 @@ files = [ doc = ["reno", "sphinx"] test = ["pytest", "tornado (>=4.5)", "typeguard"] +[[package]] +name = "threadpoolctl" +version = "3.5.0" +description = "threadpoolctl" +optional = false +python-versions = ">=3.8" +files = [ + {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"}, + {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"}, +] + [[package]] name = "tiktoken" version = "0.7.0" @@ -5906,13 +6016,13 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"] [[package]] name = "unstructured-client" -version = "0.25.4" +version = "0.25.5" description = "Python Client SDK for Unstructured API" optional = false python-versions = ">=3.8" files = [ - {file = "unstructured-client-0.25.4.tar.gz", hash = "sha256:28c71b19e239d25d2fc6f1150f7cf6cbd90532b262b703b017e64558369e96bf"}, - {file = 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+langchain-huggingface = "^0.0.3" [tool.poetry.group.dev.dependencies] From a97c30a6a59db6a8c6ae7eb3894befef5fe071bd Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 14 Aug 2024 09:35:01 +0100 Subject: [PATCH 106/153] using old sentence transformers implementation --- core-api/Dockerfile | 3 ++ core-api/poetry.lock | 22 ++---------- core-api/pyproject.toml | 1 - download_embedder.py | 29 +++++++++++++++ redbox-core/poetry.lock | 20 +---------- redbox-core/pyproject.toml | 2 +- redbox-core/redbox/embeddings/__init__.py | 4 +-- redbox-core/redbox/embeddings/model.py | 43 +++++++++++++++++++++++ worker/Dockerfile | 3 ++ worker/poetry.lock | 22 ++---------- worker/pyproject.toml | 1 - 11 files changed, 86 insertions(+), 64 deletions(-) create mode 100644 download_embedder.py create mode 100644 redbox-core/redbox/embeddings/model.py diff --git a/core-api/Dockerfile b/core-api/Dockerfile index f4cffc60e..c71862ba0 100644 --- a/core-api/Dockerfile +++ b/core-api/Dockerfile @@ -6,12 +6,15 @@ RUN apt-get update && apt-get install --yes build-essential curl > /dev/null ADD redbox-core/ /app/redbox-core ADD core-api/ /app/core-api ADD README.md /app/README.md +ADD download_embedder.py /app/ WORKDIR /app/core-api RUN pip install poetry RUN poetry install +RUN type=cache poetry run python ../download_embedder.py --embedding_model ${EMBEDDING_MODEL} + # Run FastAPI EXPOSE 5002 CMD ["poetry", "run", "uvicorn", "core_api.app:app", "--host", "0.0.0.0", "--port", "5002"] diff --git a/core-api/poetry.lock b/core-api/poetry.lock index 4e34af12b..4520fc936 100644 --- a/core-api/poetry.lock +++ b/core-api/poetry.lock @@ -1672,24 +1672,6 @@ files = [ elasticsearch = {version = ">=8.13.1,<9.0.0", extras = ["vectorstore-mmr"]} langchain-core = ">=0.1.50,<0.3" -[[package]] -name = "langchain-huggingface" -version = "0.0.3" -description = "An integration package connecting Hugging Face and LangChain" -optional = false -python-versions = "<4.0,>=3.8.1" -files = [ - {file = "langchain_huggingface-0.0.3-py3-none-any.whl", hash = "sha256:d6827adf3c7c8fcc0bca8c43c7e900c3bf68af9a1532a83d4b8ace137e02887e"}, - {file = "langchain_huggingface-0.0.3.tar.gz", hash = "sha256:0637acf484c47323cf3dcc46745a93467f6955989af9b7c01e2382fe1b630aaf"}, -] - -[package.dependencies] -huggingface-hub = ">=0.23.0" -langchain-core = ">=0.1.52,<0.3" -sentence-transformers = ">=2.6.0" -tokenizers = ">=0.19.1" -transformers = ">=4.39.0" - [[package]] name = "langchain-openai" version = "0.1.21" @@ -3362,11 +3344,11 @@ elasticsearch = "^8.14.0" kneed = "^0.8.5" langchain = "^0.2.6" langchain-elasticsearch = "^0.2.2" -langchain-huggingface = "^0.0.3" langchain_openai = "^0.1.9" pydantic = "^2.7.1" pydantic-settings = "^2.3.4" pytest-dotenv = "^0.5.2" +sentence-transformers = "^3.0.1" tiktoken = "^0.7.0" [package.source] @@ -5298,4 +5280,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = "0659749482a626bb80e77eb560b7cd85d06b4ce847b44dd4cd82c239aeae25e6" +content-hash = "4279df152392a8b6ff6e29b3e7f88b42fa4e44b3b43b0d21415563d7e8d3f9f9" diff --git a/core-api/pyproject.toml b/core-api/pyproject.toml index 5ffec0ecd..6e4acd08a 100644 --- a/core-api/pyproject.toml +++ b/core-api/pyproject.toml @@ -29,7 +29,6 @@ langchain-community = "^0.2.10" pillow-heif = "<0.17.0" langchain-elasticsearch = "^0.2.2" litellm = "^1.41.11" -langchain-huggingface = "^0.0.3" [tool.poetry.group.dev.dependencies] diff --git a/download_embedder.py b/download_embedder.py new file mode 100644 index 000000000..9e8cad814 --- /dev/null +++ b/download_embedder.py @@ -0,0 +1,29 @@ +import argparse +import logging + +from redbox.embeddings.model import SentenceTransformerDB + +logging.basicConfig(level=logging.INFO) +log = logging.getLogger() + + +def download(): + parser = argparse.ArgumentParser( + description="Download Sentence Transformer Embedder" + ) + parser.add_argument( + "--embedding_model", + type=str, + required=True, + help="Name of the Sentence Transformer Model", + ) + + args = parser.parse_args() + + log.info("💾 Downloading Sentence Transformer Embedder: %s", args.embedding_model) + SentenceTransformerDB(args.embedding_model) + log.info("✅ Downloaded Sentence Transformer Embedder: %s", args.embedding_model) + + +if __name__ == "__main__": + download() diff --git a/redbox-core/poetry.lock b/redbox-core/poetry.lock index 07f7618e0..191bee750 100644 --- a/redbox-core/poetry.lock +++ b/redbox-core/poetry.lock @@ -1013,24 +1013,6 @@ files = [ elasticsearch = {version = ">=8.13.1,<9.0.0", extras = ["vectorstore-mmr"]} langchain-core = ">=0.1.50,<0.3" -[[package]] -name = "langchain-huggingface" -version = "0.0.3" -description = "An integration package connecting Hugging Face and LangChain" -optional = false -python-versions = "<4.0,>=3.8.1" -files = [ - {file = "langchain_huggingface-0.0.3-py3-none-any.whl", hash = "sha256:d6827adf3c7c8fcc0bca8c43c7e900c3bf68af9a1532a83d4b8ace137e02887e"}, - {file = "langchain_huggingface-0.0.3.tar.gz", hash = "sha256:0637acf484c47323cf3dcc46745a93467f6955989af9b7c01e2382fe1b630aaf"}, -] - -[package.dependencies] -huggingface-hub = ">=0.23.0" -langchain-core = ">=0.1.52,<0.3" -sentence-transformers = ">=2.6.0" -tokenizers = ">=0.19.1" -transformers = ">=4.39.0" - [[package]] name = "langchain-openai" version = "0.1.17" @@ -3157,4 +3139,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = "5cef46c3e18077a730f8a076e7fb44c3bb9cd2a949d32868461476cf6e93b68a" +content-hash = "2e89baee65cb6db6d45ded3881d4bae5aa058f31f66992205cd73ea0d6d474d9" diff --git a/redbox-core/pyproject.toml b/redbox-core/pyproject.toml index 370882a32..41e80a95f 100644 --- a/redbox-core/pyproject.toml +++ b/redbox-core/pyproject.toml @@ -22,7 +22,7 @@ pydantic-settings = "^2.3.4" langchain-elasticsearch = "^0.2.2" pytest-dotenv = "^0.5.2" kneed = "^0.8.5" -langchain-huggingface = "^0.0.3" +sentence-transformers = "^3.0.1" [tool.poetry.group.dev.dependencies] diff --git a/redbox-core/redbox/embeddings/__init__.py b/redbox-core/redbox/embeddings/__init__.py index 20645d808..0f38fc65c 100644 --- a/redbox-core/redbox/embeddings/__init__.py +++ b/redbox-core/redbox/embeddings/__init__.py @@ -1,5 +1,5 @@ +from langchain_community.embeddings import SentenceTransformerEmbeddings from langchain_core.embeddings import Embeddings -from langchain_huggingface import HuggingFaceEmbeddings from redbox.models.settings import Settings from .langchain import get_azure_embeddings, get_openai_embeddings @@ -11,7 +11,7 @@ def get_embeddings(env: Settings) -> Embeddings: elif env.embedding_backend == "openai": return get_openai_embeddings(env) elif env.embedding_backend == "sentencetransformers": - return HuggingFaceEmbeddings( + return SentenceTransformerEmbeddings( model_name=env.embedding_openai_model, ) else: diff --git a/redbox-core/redbox/embeddings/model.py b/redbox-core/redbox/embeddings/model.py new file mode 100644 index 000000000..54c1c1bea --- /dev/null +++ b/redbox-core/redbox/embeddings/model.py @@ -0,0 +1,43 @@ +import logging +from pathlib import Path +from uuid import uuid4 + +from redbox.models.embedding import Embedding, EmbeddingModelInfo, EmbeddingResponse +from sentence_transformers import SentenceTransformer + +MODEL_PATH = str(Path(__file__).parents[1] / "models") + +log = logging.getLogger() +log.setLevel(logging.INFO) + + +class SentenceTransformerDB(SentenceTransformer): + def __init__(self, embedding_model_name: str): + super().__init__(embedding_model_name, cache_folder=MODEL_PATH) + self.embedding_model_name = embedding_model_name + + def embed_sentences(self, sentences: list[str]) -> EmbeddingResponse: + embeddings = self.encode(sentences) + + reformatted_embeddings = [ + Embedding( + object="embedding", + index=i, + embedding=list(embedding), + ) + for i, embedding in enumerate(embeddings) + ] + + return EmbeddingResponse( + object="list", + data=reformatted_embeddings, + embedding_id=str(uuid4()), + embedding_model=self.embedding_model_name, + embedding_model_info=self.get_embedding_model_info(), + ) + + def get_embedding_model_info(self) -> EmbeddingModelInfo: + return EmbeddingModelInfo( + embedding_model=self.embedding_model_name, + vector_size=self.get_sentence_embedding_dimension(), + ) diff --git a/worker/Dockerfile b/worker/Dockerfile index 698269630..b302e50d1 100644 --- a/worker/Dockerfile +++ b/worker/Dockerfile @@ -10,11 +10,14 @@ RUN pip install poetry ADD redbox-core/ /app/redbox-core ADD worker/ /app/worker ADD README.md /app/README.md +ADD download_embedder.py /app/ WORKDIR /app/worker RUN poetry install +RUN poetry run python ../download_embedder.py --embedding_model ${EMBEDDING_MODEL} + # Downlaod Sentence Tokenizer RUN poetry run python -m nltk.downloader punkt diff --git a/worker/poetry.lock b/worker/poetry.lock index 3cfa18a6b..de9962a97 100644 --- a/worker/poetry.lock +++ b/worker/poetry.lock @@ -2278,24 +2278,6 @@ files = [ elasticsearch = {version = ">=8.13.1,<9.0.0", extras = ["vectorstore-mmr"]} langchain-core = ">=0.1.50,<0.3" -[[package]] -name = "langchain-huggingface" -version = "0.0.3" -description = "An integration package connecting Hugging Face and LangChain" -optional = false -python-versions = "<4.0,>=3.8.1" -files = [ - {file = "langchain_huggingface-0.0.3-py3-none-any.whl", hash = "sha256:d6827adf3c7c8fcc0bca8c43c7e900c3bf68af9a1532a83d4b8ace137e02887e"}, - {file = "langchain_huggingface-0.0.3.tar.gz", hash = "sha256:0637acf484c47323cf3dcc46745a93467f6955989af9b7c01e2382fe1b630aaf"}, -] - -[package.dependencies] -huggingface-hub = ">=0.23.0" -langchain-core = ">=0.1.52,<0.3" -sentence-transformers = ">=2.6.0" -tokenizers = ">=0.19.1" -transformers = ">=4.39.0" - [[package]] name = "langchain-openai" version = "0.1.21" @@ -4683,11 +4665,11 @@ elasticsearch = "^8.14.0" kneed = "^0.8.5" langchain = "^0.2.6" langchain-elasticsearch = "^0.2.2" -langchain-huggingface = "^0.0.3" langchain_openai = "^0.1.9" pydantic = "^2.7.1" pydantic-settings = "^2.3.4" pytest-dotenv = "^0.5.2" +sentence-transformers = "^3.0.1" tiktoken = "^0.7.0" [package.source] @@ -6345,4 +6327,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = "96dbd7cc20f5c81595739b15b84d267a026c8303eaa3de9ee0fc1ebc9934d92e" +content-hash = "a3c3f2c3e3d7b6ef80b95a996e04c78f80617ff2ce87d8f1aeebc0121e6a52ec" diff --git a/worker/pyproject.toml b/worker/pyproject.toml index 1042f5f35..7afe3bd42 100644 --- a/worker/pyproject.toml +++ b/worker/pyproject.toml @@ -24,7 +24,6 @@ pikepdf = "<9.0.0" torch = "2.2.2" unstructured = {version = "<0.14.9", extras = ["all-docs"]} unstructured-inference = "^0.7.36" -langchain-huggingface = "^0.0.3" [tool.poetry.group.dev.dependencies] From e1a0b3151c5e67ec05fa363a55539002af26f123 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 14 Aug 2024 09:36:35 +0100 Subject: [PATCH 107/153] add env file for docker build stage --- .env.docker_build | 1 + 1 file changed, 1 insertion(+) create mode 100644 .env.docker_build diff --git a/.env.docker_build b/.env.docker_build new file mode 100644 index 000000000..f5e31737c --- /dev/null +++ b/.env.docker_build @@ -0,0 +1 @@ +EMBEDDING_MODEL=all-mpnet-base-v2 \ No newline at end of file From 2d9cb740a460c68791750e6ce6d82d6ae6f9fd30 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 14 Aug 2024 09:50:40 +0100 Subject: [PATCH 108/153] hard code embedding model --- core-api/Dockerfile | 2 +- worker/Dockerfile | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/core-api/Dockerfile b/core-api/Dockerfile index c71862ba0..d97a1be5d 100644 --- a/core-api/Dockerfile +++ b/core-api/Dockerfile @@ -13,7 +13,7 @@ WORKDIR /app/core-api RUN pip install poetry RUN poetry install -RUN type=cache poetry run python ../download_embedder.py --embedding_model ${EMBEDDING_MODEL} +RUN type=cache poetry run python ../download_embedder.py --embedding_model "all-mpnet-base-v2" # Run FastAPI EXPOSE 5002 diff --git a/worker/Dockerfile b/worker/Dockerfile index b302e50d1..27d57d52c 100644 --- a/worker/Dockerfile +++ b/worker/Dockerfile @@ -16,7 +16,7 @@ WORKDIR /app/worker RUN poetry install -RUN poetry run python ../download_embedder.py --embedding_model ${EMBEDDING_MODEL} +RUN poetry run python ../download_embedder.py --embedding_model "all-mpnet-base-v2" # Downlaod Sentence Tokenizer RUN poetry run python -m nltk.downloader punkt From e3996a8179bfcf9a41fc23c07e15053dfd83c685 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 14 Aug 2024 10:00:58 +0100 Subject: [PATCH 109/153] add langchain community --- core-api/poetry.lock | 1 + redbox-core/poetry.lock | 100 ++++++++++++++++++++++++++++++++++--- redbox-core/pyproject.toml | 1 + worker/poetry.lock | 24 +++++++++ 4 files changed, 118 insertions(+), 8 deletions(-) diff --git a/core-api/poetry.lock b/core-api/poetry.lock index 4520fc936..fa118964c 100644 --- a/core-api/poetry.lock +++ b/core-api/poetry.lock @@ -3343,6 +3343,7 @@ boto3 = "^1.34.136" elasticsearch = "^8.14.0" kneed = "^0.8.5" langchain = "^0.2.6" +langchain-community = "^0.2.12" langchain-elasticsearch = "^0.2.2" langchain_openai = "^0.1.9" pydantic = "^2.7.1" diff --git a/redbox-core/poetry.lock b/redbox-core/poetry.lock index 191bee750..99fb3ce13 100644 --- a/redbox-core/poetry.lock +++ b/redbox-core/poetry.lock @@ -495,6 +495,21 @@ ssh = ["bcrypt (>=3.1.5)"] test = ["certifi", "cryptography-vectors (==43.0.0)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"] test-randomorder = ["pytest-randomly"] +[[package]] +name = "dataclasses-json" +version = "0.6.7" +description = "Easily serialize dataclasses to and from JSON." +optional = false +python-versions = "<4.0,>=3.7" +files = [ + {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"}, + {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"}, +] + +[package.dependencies] +marshmallow = ">=3.18.0,<4.0.0" +typing-inspect = ">=0.4.0,<1" + [[package]] name = "distro" version = "1.9.0" @@ -955,18 +970,18 @@ testing = ["matplotlib (>=2.2.5)", "pytest (>=5.0.1)", "pytest-cov (>=3.0.0)"] [[package]] name = "langchain" -version = "0.2.10" +version = "0.2.13" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain-0.2.10-py3-none-any.whl", hash = "sha256:b4fb58c7faf4f4999cfe3325474979a7121a1737dd101655a723a1d957ef0617"}, - {file = "langchain-0.2.10.tar.gz", hash = "sha256:1f861c1b59ac9c91b02bb0fa58d3adad1c1d0686636872b5b357bbce3ce41d06"}, + {file = "langchain-0.2.13-py3-none-any.whl", hash = "sha256:80f21e48cdada424dd2af9bbf42234fe095744cf181b31eeb63d1da7479e2783"}, + {file = "langchain-0.2.13.tar.gz", hash = "sha256:947e96ac3153a46aa6a0d8207e5f8b6794084c397f60a01bbf4bba78e6838fee"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" -langchain-core = ">=0.2.22,<0.3.0" +langchain-core = ">=0.2.30,<0.3.0" langchain-text-splitters = ">=0.2.0,<0.3.0" langsmith = ">=0.1.17,<0.2.0" numpy = {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""} @@ -976,15 +991,38 @@ requests = ">=2,<3" SQLAlchemy = ">=1.4,<3" tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" +[[package]] +name = "langchain-community" +version = "0.2.12" +description = "Community contributed LangChain integrations." +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "langchain_community-0.2.12-py3-none-any.whl", hash = "sha256:50e74473dd2309bdef561760afbbf0c5ea17ed91fc4dfa0d52279dd16d6d34e0"}, + {file = "langchain_community-0.2.12.tar.gz", hash = "sha256:d671cfc6a4f3b65f49a2e59ab420d0164f109d0a56fc4b4996518205c63b8c7e"}, +] + +[package.dependencies] +aiohttp = ">=3.8.3,<4.0.0" +dataclasses-json = ">=0.5.7,<0.7" +langchain = ">=0.2.13,<0.3.0" +langchain-core = ">=0.2.30,<0.3.0" +langsmith = ">=0.1.0,<0.2.0" +numpy = {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""} +PyYAML = ">=5.3" +requests = ">=2,<3" +SQLAlchemy = ">=1.4,<3" +tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" + [[package]] name = "langchain-core" -version = "0.2.22" +version = "0.2.30" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.2.22-py3-none-any.whl", hash = "sha256:7731a86440c0958b3186c003fb9b26b2d5a682a6344bda7bfb9174e2898f8b43"}, - {file = "langchain_core-0.2.22.tar.gz", hash = "sha256:582d6f929a43b830139444e4124123cd415331ad62f25757b1406252958cdcac"}, + {file = "langchain_core-0.2.30-py3-none-any.whl", hash = "sha256:ea7eccb9566dd51b2b74bd292c4239d843a77cdba8ffae2b5edf7000d70d4194"}, + {file = "langchain_core-0.2.30.tar.gz", hash = "sha256:552ec586698140062cd299a83bad7e308f925b496d306b62529579c6fb122f7a"}, ] [package.dependencies] @@ -997,6 +1035,7 @@ pydantic = [ ] PyYAML = ">=5.3" tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" +typing-extensions = ">=4.7" [[package]] name = "langchain-elasticsearch" @@ -1131,6 +1170,25 @@ files = [ {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"}, ] +[[package]] +name = "marshmallow" +version = "3.21.3" +description = "A lightweight library for converting complex datatypes to and from native Python datatypes." +optional = false +python-versions = ">=3.8" +files = [ + {file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"}, + {file = "marshmallow-3.21.3.tar.gz", hash = "sha256:4f57c5e050a54d66361e826f94fba213eb10b67b2fdb02c3e0343ce207ba1662"}, +] + +[package.dependencies] +packaging = ">=17.0" + +[package.extras] +dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"] +docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"] +tests = ["pytest", "pytz", "simplejson"] + [[package]] name = "moto" version = "5.0.11" @@ -1291,6 +1349,17 @@ files = [ {file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"}, ] +[[package]] +name = "mypy-extensions" +version = "1.0.0" +description = "Type system extensions for programs checked with the mypy type checker." +optional = false +python-versions = ">=3.5" +files = [ + {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"}, + {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"}, +] + [[package]] name = "networkx" version = "3.3" @@ -2988,6 +3057,21 @@ files = [ {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, ] +[[package]] +name = "typing-inspect" +version = "0.9.0" +description = "Runtime inspection utilities for typing module." +optional = false +python-versions = "*" +files = [ + {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"}, + {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"}, +] + +[package.dependencies] +mypy-extensions = ">=0.3.0" +typing-extensions = ">=3.7.4" + [[package]] name = "urllib3" version = "2.2.2" @@ -3139,4 +3223,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = "2e89baee65cb6db6d45ded3881d4bae5aa058f31f66992205cd73ea0d6d474d9" +content-hash = "88dd94e321eca58ed1118f256630432d87efebfcb8f9a78ec129cdba45aacd10" diff --git a/redbox-core/pyproject.toml b/redbox-core/pyproject.toml index 41e80a95f..9adeed8ac 100644 --- a/redbox-core/pyproject.toml +++ b/redbox-core/pyproject.toml @@ -23,6 +23,7 @@ langchain-elasticsearch = "^0.2.2" pytest-dotenv = "^0.5.2" kneed = "^0.8.5" sentence-transformers = "^3.0.1" +langchain-community = "^0.2.12" [tool.poetry.group.dev.dependencies] diff --git a/worker/poetry.lock b/worker/poetry.lock index de9962a97..c4b1d05a3 100644 --- a/worker/poetry.lock +++ b/worker/poetry.lock @@ -2240,6 +2240,29 @@ requests = ">=2,<3" SQLAlchemy = ">=1.4,<3" tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" +[[package]] +name = "langchain-community" +version = "0.2.12" +description = "Community contributed LangChain integrations." +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "langchain_community-0.2.12-py3-none-any.whl", hash = "sha256:50e74473dd2309bdef561760afbbf0c5ea17ed91fc4dfa0d52279dd16d6d34e0"}, + {file = "langchain_community-0.2.12.tar.gz", hash = "sha256:d671cfc6a4f3b65f49a2e59ab420d0164f109d0a56fc4b4996518205c63b8c7e"}, +] + +[package.dependencies] +aiohttp = ">=3.8.3,<4.0.0" +dataclasses-json = ">=0.5.7,<0.7" +langchain = ">=0.2.13,<0.3.0" +langchain-core = ">=0.2.30,<0.3.0" +langsmith = ">=0.1.0,<0.2.0" +numpy = {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""} +PyYAML = ">=5.3" +requests = ">=2,<3" +SQLAlchemy = ">=1.4,<3" +tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" + [[package]] name = "langchain-core" version = "0.2.30" @@ -4664,6 +4687,7 @@ boto3 = "^1.34.136" elasticsearch = "^8.14.0" kneed = "^0.8.5" langchain = "^0.2.6" +langchain-community = "^0.2.12" langchain-elasticsearch = "^0.2.2" langchain_openai = "^0.1.9" pydantic = "^2.7.1" From c7938c239e4361186adfee23e5c26e8c034cc2cf Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 14 Aug 2024 10:39:15 +0100 Subject: [PATCH 110/153] fix nltk version --- worker/poetry.lock | 10 +++++----- worker/pyproject.toml | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/worker/poetry.lock b/worker/poetry.lock index c4b1d05a3..e98d8397b 100644 --- a/worker/poetry.lock +++ b/worker/poetry.lock @@ -3030,13 +3030,13 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"] [[package]] name = "nltk" -version = "3.8.2" +version = "3.8.1" description = "Natural Language Toolkit" optional = false -python-versions = ">=3.8" +python-versions = ">=3.7" files = [ - {file = "nltk-3.8.2-py3-none-any.whl", hash = "sha256:bae044ae22ebe0b694a87c0012233373209f27d5c76d3572599c842740a62fe0"}, - {file = "nltk-3.8.2.tar.gz", hash = "sha256:9c051aa981c6745894906d5c3aad27417f3d1c10d91eefca50382fc922966f31"}, + {file = "nltk-3.8.1-py3-none-any.whl", hash = "sha256:fd5c9109f976fa86bcadba8f91e47f5e9293bd034474752e92a520f81c93dda5"}, + {file = "nltk-3.8.1.zip", 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+0100 Subject: [PATCH 111/153] Bump twisted from 24.3.0 to 24.7.0 in /notebooks (#47) Bumps [twisted](https://github.com/twisted/twisted) from 24.3.0 to 24.7.0. - [Release notes](https://github.com/twisted/twisted/releases) - [Changelog](https://github.com/twisted/twisted/blob/trunk/NEWS.rst) - [Commits](https://github.com/twisted/twisted/compare/twisted-24.3.0...twisted-24.7.0) --- updated-dependencies: - dependency-name: twisted dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Tash Boyse --- notebooks/poetry.lock | 74 +++++++++++++------------------------------ 1 file changed, 22 insertions(+), 52 deletions(-) diff --git a/notebooks/poetry.lock b/notebooks/poetry.lock index 2c055e16e..a21f9f6a8 100644 --- a/notebooks/poetry.lock +++ b/notebooks/poetry.lock @@ -2919,18 +2919,20 @@ test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "p [[package]] name = "incremental" -version = "22.10.0" -description = "\"A small library that versions your Python projects.\"" +version = "24.7.2" +description = "A small library that versions your Python projects." optional = false -python-versions = "*" +python-versions = ">=3.8" files = [ - {file = "incremental-22.10.0-py2.py3-none-any.whl", hash = "sha256:b864a1f30885ee72c5ac2835a761b8fe8aa9c28b9395cacf27286602688d3e51"}, - {file = "incremental-22.10.0.tar.gz", hash = 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[package.extras] -speedups = ["Brotli", "aiodns", "brotlicffi"] +speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"] [[package]] name = "aiosignal" From 7bf9b16639fd530a3eb804a3c667839f3088dfdf Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 14 Aug 2024 13:59:07 +0100 Subject: [PATCH 113/153] Bump django from 5.0.7 to 5.0.8 in /notebooks (#44) Bumps [django](https://github.com/django/django) from 5.0.7 to 5.0.8. - [Commits](https://github.com/django/django/compare/5.0.7...5.0.8) --- updated-dependencies: - dependency-name: django dependency-type: direct:development ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Tash Boyse --- notebooks/poetry.lock | 10 +++++----- notebooks/pyproject.toml | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/notebooks/poetry.lock b/notebooks/poetry.lock index 4467c8908..adaf85aa3 100644 --- a/notebooks/poetry.lock +++ b/notebooks/poetry.lock @@ -1640,17 +1640,17 @@ dev = ["black", "black[jupyter]", "coverage", "griffe-typingdoc (==0.2.2)", "mkd [[package]] name = "django" -version = "5.0.7" +version = "5.1" description = "A high-level Python web framework that encourages rapid development and clean, pragmatic design." optional = false python-versions = ">=3.10" files = [ - {file = "Django-5.0.7-py3-none-any.whl", hash = "sha256:f216510ace3de5de01329463a315a629f33480e893a9024fc93d8c32c22913da"}, - {file = "Django-5.0.7.tar.gz", hash = "sha256:bd4505cae0b9bd642313e8fb71810893df5dc2ffcacaa67a33af2d5cd61888f2"}, + {file = "Django-5.1-py3-none-any.whl", hash = "sha256:d3b811bf5371a26def053d7ee42a9df1267ef7622323fe70a601936725aa4557"}, + {file = "Django-5.1.tar.gz", hash = "sha256:848a5980e8efb76eea70872fb0e4bc5e371619c70fffbe48e3e1b50b2c09455d"}, ] [package.dependencies] -asgiref = ">=3.7.0,<4" +asgiref = ">=3.8.1,<4" sqlparse = ">=0.3.1" tzdata = {version = "*", markers = "sys_platform == \"win32\""} @@ -9574,4 +9574,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = "cfa39f9353073d5c41fc5b25991cd03d81a9a95af3467c6411a20ee8d5c1fdaa" +content-hash = "aba97dbd2da32fb71111e75f6d80c55a0968ae74494648d2ce7bd67ce469e570" diff --git a/notebooks/pyproject.toml b/notebooks/pyproject.toml index d0f33d780..35028e7e1 100644 --- a/notebooks/pyproject.toml +++ b/notebooks/pyproject.toml @@ -27,7 +27,7 @@ moto = {extras = ["s3"], version = "^5.0.10"} ipykernel = "^6.29.5" pandas = "^2.2.2" dj-notebook = "^0.7.0" -django = "^5.0.7" +django = "^5.0.8" jsonlines = "^4.0.0" [build-system] From 8b05defb79fb1026755db609cdf773ddb6fd577b Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 14 Aug 2024 13:59:26 +0100 Subject: [PATCH 114/153] Bump nltk from 3.8.1 to 3.8.2 in /notebooks (#43) Bumps [nltk](https://github.com/nltk/nltk) from 3.8.1 to 3.8.2. - [Changelog](https://github.com/nltk/nltk/blob/develop/ChangeLog) - [Commits](https://github.com/nltk/nltk/compare/3.8.1...3.8.2) --- updated-dependencies: - dependency-name: nltk dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Tash Boyse --- notebooks/poetry.lock | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/notebooks/poetry.lock b/notebooks/poetry.lock index adaf85aa3..ae72b0c9d 100644 --- a/notebooks/poetry.lock +++ b/notebooks/poetry.lock @@ -4562,13 +4562,13 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"] [[package]] name = "nltk" -version = "3.8.1" +version = "3.8.2" description = "Natural Language Toolkit" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "nltk-3.8.1-py3-none-any.whl", hash = "sha256:fd5c9109f976fa86bcadba8f91e47f5e9293bd034474752e92a520f81c93dda5"}, - {file = "nltk-3.8.1.zip", hash = "sha256:1834da3d0682cba4f2cede2f9aad6b0fafb6461ba451db0efb6f9c39798d64d3"}, + {file = "nltk-3.8.2-py3-none-any.whl", hash = "sha256:bae044ae22ebe0b694a87c0012233373209f27d5c76d3572599c842740a62fe0"}, + {file = "nltk-3.8.2.tar.gz", hash = "sha256:9c051aa981c6745894906d5c3aad27417f3d1c10d91eefca50382fc922966f31"}, ] [package.dependencies] From fa7b3c11da65948e1674f3ac79c5b72cd945f820 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 14 Aug 2024 14:03:58 +0100 Subject: [PATCH 115/153] Bump certifi from 2024.6.2 to 2024.7.4 in /django_app (#2) Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. - [Commits](https://github.com/certifi/python-certifi/compare/2024.06.02...2024.07.04) --- updated-dependencies: - dependency-name: certifi dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> From d47292cebf1f3d085eef2bf349603096d05d578f Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Fri, 16 Aug 2024 15:14:53 +0100 Subject: [PATCH 116/153] release: Merge latest dev into main (#57) * feat: add branch strategy and pr instructions to readme.md (#34) * fix: revert all streamlit docker integration (#52) * fix: update notebooks poetry.lock file (#54) * Bump certifi from 2024.6.2 to 2024.7.4 in /django_app (#56) Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. - [Commits](https://github.com/certifi/python-certifi/compare/2024.06.02...2024.07.04) --- updated-dependencies: - dependency-name: certifi dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump streamlit from 1.36.0 to 1.37.0 (#46) Bumps [streamlit](https://github.com/streamlit/streamlit) from 1.36.0 to 1.37.0. - [Release notes](https://github.com/streamlit/streamlit/releases) - [Commits](https://github.com/streamlit/streamlit/compare/1.36.0...1.37.0) --- updated-dependencies: - dependency-name: streamlit dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Tash Boyse * Feat: DBT specific content changes (#33) * feat: DBT Specific content changes need to be configurable * ensuring SESSION_COOKIE_SAMESITE doesnt exist in dbt envs * accidentally reverted REPO_OWNER var --------- Signed-off-by: dependabot[bot] Co-authored-by: A Gleeson Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- django_app/redbox_app/jinja2.py | 2 + .../redbox_app/redbox_core/info_views.py | 6 + .../management/commands/run_streamlit_app.py | 11 - django_app/redbox_app/settings.py | 4 +- .../accessibility-statement-uktrade.html | 43 + .../templates/accessibility-statement.html | 69 +- django_app/redbox_app/templates/homepage.html | 6 +- .../templates/privacy-notice-uktrade.html | 67 + .../redbox_app/templates/privacy-notice.html | 115 +- .../redbox_app/templates/streamlit_app.html | 8 - .../redbox_app/templates/support-uktrade.html | 59 + django_app/redbox_app/templates/support.html | 74 +- django_app/redbox_app/urls.py | 1 - docker-compose.yml | 17 +- docs/contributing.md | 12 + notebooks/evaluation/Dockerfile | 44 - notebooks/poetry.lock | 3765 +++++++++-------- poetry.lock | 1228 ++++-- pyproject.toml | 2 +- 19 files changed, 3216 insertions(+), 2317 deletions(-) delete mode 100644 django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py create mode 100644 django_app/redbox_app/templates/accessibility-statement-uktrade.html create mode 100644 django_app/redbox_app/templates/privacy-notice-uktrade.html delete mode 100644 django_app/redbox_app/templates/streamlit_app.html create mode 100644 django_app/redbox_app/templates/support-uktrade.html delete mode 100644 notebooks/evaluation/Dockerfile diff --git a/django_app/redbox_app/jinja2.py b/django_app/redbox_app/jinja2.py index 30f00cb02..c568b210f 100644 --- a/django_app/redbox_app/jinja2.py +++ b/django_app/redbox_app/jinja2.py @@ -86,6 +86,7 @@ def environment(**options): "to_user_timezone": to_user_timezone, "environment": settings.ENVIRONMENT.value, "security": settings.MAX_SECURITY_CLASSIFICATION.value, + "repo_owner": settings.REPO_OWNER, } ) env.globals.update( @@ -97,6 +98,7 @@ def environment(**options): "to_user_timezone": to_user_timezone, "environment": settings.ENVIRONMENT.value, "security": settings.MAX_SECURITY_CLASSIFICATION.value, + "repo_owner": settings.REPO_OWNER, } ) return env diff --git a/django_app/redbox_app/redbox_core/info_views.py b/django_app/redbox_app/redbox_core/info_views.py index 9c7efc107..8d204e59d 100644 --- a/django_app/redbox_app/redbox_core/info_views.py +++ b/django_app/redbox_app/redbox_core/info_views.py @@ -10,14 +10,20 @@ @require_http_methods(["GET"]) def privacy_notice_view(request): + if settings.REPO_OWNER.lower() == "uktrade": + return render(request, "privacy-notice-uktrade.html", {}) return render(request, "privacy-notice.html", {}) @require_http_methods(["GET"]) def support_view(request): + if settings.REPO_OWNER.lower() == "uktrade": + return render(request, "support-uktrade.html", {"contact_email": settings.CONTACT_EMAIL}) return render(request, "support.html", {"contact_email": settings.CONTACT_EMAIL}) @require_http_methods(["GET"]) def accessibility_statement_view(request): + if settings.REPO_OWNER.lower() == "uktrade": + return render(request, "accessibility-statement-uktrade.html", {"contact_email": settings.CONTACT_EMAIL}) return render(request, "accessibility-statement.html", {"contact_email": settings.CONTACT_EMAIL}) diff --git a/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py b/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py deleted file mode 100644 index 8be505577..000000000 --- a/django_app/redbox_app/redbox_core/management/commands/run_streamlit_app.py +++ /dev/null @@ -1,11 +0,0 @@ -import subprocess - -from django.core.management.base import BaseCommand - - -class Command(BaseCommand): - help = 'Run the Streamlit app' - - def handle(self, *args, **kwargs): - self.stdout.write(self.style.SUCCESS('Starting Streamlit app...')) - subprocess.run(['streamlit', 'run', 'notebooks/embeddings/app.py']) \ No newline at end of file diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index cd146bf1e..d877a2f00 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -206,7 +206,6 @@ SESSION_EXPIRE_AT_BROWSER_CLOSE = True SESSION_COOKIE_HTTPONLY = True SESSION_COOKIE_AGE = 60 * 60 * 24 -SESSION_COOKIE_SAMESITE = "Strict" SESSION_ENGINE = "django.contrib.sessions.backends.db" LOG_ROOT = "." @@ -361,10 +360,11 @@ LOGIN_URL = reverse_lazy("authbroker_client:login") LOGIN_REDIRECT_URL = reverse_lazy("homepage") elif LOGIN_METHOD == "magic_link": + SESSION_COOKIE_SAMESITE = "Strict" LOGIN_REDIRECT_URL = "homepage" LOGIN_URL = "sign-in" else: LOGIN_REDIRECT_URL = "homepage" LOGIN_URL = "sign-in" -STREAMLIT_HOST = env.str("STREAMLIT_HOST", "") +REPO_OWNER = env.str("REPO_OWNER", "i-dot-ai") diff --git a/django_app/redbox_app/templates/accessibility-statement-uktrade.html b/django_app/redbox_app/templates/accessibility-statement-uktrade.html new file mode 100644 index 000000000..f7594f893 --- /dev/null +++ b/django_app/redbox_app/templates/accessibility-statement-uktrade.html @@ -0,0 +1,43 @@ +{% extends "base.html" %} + +{% set pageTitle = "Accessibility statement" %} + +{% block content %} + +
+

Accessibility statement for Redbox Copilot

+ +

This accessibility statement applies to Redbox Copilot.

+

This website is run by the Department for Business and Trade. Whilst the website is currently only being trialed, overtime we may want as many people as possible to be able to use this website. For example, that means you should be able to:

+
    +
  • change colours, contrast levels and fonts
    • +
  • zoom in up to 300% without the text spilling off the screen
    • +
  • navigate most of the website using just a keyboard
    • +
  • navigate most of the website using speech recognition software
    • +
  • listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)
    • +
+

We've also made the website text as simple as possible to understand.

+

AbilityNet has advice on making your device easier to use if you have a disability.

+ +

Feedback and contact information

+

If you need information on this website in a different format like accessible PDF, large print, easy read, audio recording or braille, email {{contact_email}}

+

We'll consider your request and get back to you in 14 days.

+ +

Reporting accessibility problems with this website

+

We're always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we're not meeting accessibility requirements, contact the team at {{contact_email}}.

+ +

Enforcement procedure

+

The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the "accessibility regulations"). If you're not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).

+ +

Technical information about this website's accessibility

+

The Department for Business and Trade is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.

+ +

Compliance status

+

This website is fully compliant with the Web Content Accessibility Guidelines version 2.2 AA standard.

+ +

Preparation of this accessibility statement

+

This statement was prepared on 27th February 2024. It was last reviewed on 21st June 2024.

+ +
+ +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/accessibility-statement.html b/django_app/redbox_app/templates/accessibility-statement.html index f7594f893..064b3df1a 100644 --- a/django_app/redbox_app/templates/accessibility-statement.html +++ b/django_app/redbox_app/templates/accessibility-statement.html @@ -4,40 +4,43 @@ {% block content %} -
-

Accessibility statement for Redbox Copilot

- -

This accessibility statement applies to Redbox Copilot.

-

This website is run by the Department for Business and Trade. Whilst the website is currently only being trialed, overtime we may want as many people as possible to be able to use this website. For example, that means you should be able to:

-
    -
  • change colours, contrast levels and fonts
    • -
  • zoom in up to 300% without the text spilling off the screen
    • -
  • navigate most of the website using just a keyboard
    • -
  • navigate most of the website using speech recognition software
    • -
  • listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)
    • -
-

We've also made the website text as simple as possible to understand.

-

AbilityNet has advice on making your device easier to use if you have a disability.

- -

Feedback and contact information

-

If you need information on this website in a different format like accessible PDF, large print, easy read, audio recording or braille, email {{contact_email}}

-

We'll consider your request and get back to you in 14 days.

- -

Reporting accessibility problems with this website

-

We're always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we're not meeting accessibility requirements, contact the team at {{contact_email}}.

- -

Enforcement procedure

-

The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the "accessibility regulations"). If you're not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).

- -

Technical information about this website's accessibility

-

The Department for Business and Trade is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.

- -

Compliance status

-

This website is fully compliant with the Web Content Accessibility Guidelines version 2.2 AA standard.

- -

Preparation of this accessibility statement

-

This statement was prepared on 27th February 2024. It was last reviewed on 21st June 2024.

+
+
+

Accessibility statement for Redbox

+ +

This accessibility statement applies to Redbox.

+

This website is run by the Cabinet Office. We want as many people as possible to be able to use this website. For example, that means you should be able to:

+
    +
  • change colours, contrast levels and fonts
    • +
  • zoom in up to 300% without the text spilling off the screen
    • +
  • navigate most of the website using just a keyboard
    • +
  • navigate most of the website using speech recognition software
    • +
  • listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)
    • +
+

We've also made the website text as simple as possible to understand.

+

AbilityNet has advice on making your device easier to use if you have a disability.

+ +

Feedback and contact information

+

If you need information on this website in a different format like accessible PDF, large print, easy read, audio recording or braille, email {{contact_email}}

+

We'll consider your request and get back to you in 14 days.

+ +

Reporting accessibility problems with this website

+

We're always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we're not meeting accessibility requirements, contact the team at {{contact_email}}.

+ +

Enforcement procedure

+

The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the "accessibility regulations"). If you're not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).

+ +

Technical information about this website's accessibility

+

Cabinet Office is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.

+ +

Compliance status

+

This website is fully compliant with the Web Content Accessibility Guidelines version 2.2 AA standard.

+ +

Preparation of this accessibility statement

+

This statement was prepared on 27th February 2024. It was last reviewed on 12th April 2024.

+ +
{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/homepage.html b/django_app/redbox_app/templates/homepage.html index 8225df606..dce61061c 100644 --- a/django_app/redbox_app/templates/homepage.html +++ b/django_app/redbox_app/templates/homepage.html @@ -1,15 +1,19 @@ {% set pageTitle = "" %} {% extends "base.html" %} {% from "macros/govuk-button.html" import govukButton %} - {% block content %}
+ {% if repo_owner | lower == "uktrade" %}

Use Artificial Intelligence (AI) to interact with Official level documents from your own document set

You may summarise documents, ask questions related to one or more documents, and chat directly with the AI to assist you in your work. You can use up to, and including, Official documents.

+ {% else %} +

Ask any question of documents in your Redbox

+

Use Artificial Intelligence (AI) to get insights from your personal document set. You can use up to, and including, {{ security }} documents.

+ {% endif %}
{% if not request.user.is_authenticated %} {{ govukButton( diff --git a/django_app/redbox_app/templates/privacy-notice-uktrade.html b/django_app/redbox_app/templates/privacy-notice-uktrade.html new file mode 100644 index 000000000..bdf296686 --- /dev/null +++ b/django_app/redbox_app/templates/privacy-notice-uktrade.html @@ -0,0 +1,67 @@ +{% extends "base.html" %} + +{% set pageTitle = "Privacy notice" %} + + +{% block content %} + +
+

Privacy notice for Redbox Copilot

+
+

This notice sets out how we will use your personal data, and your rights. It is made under Articles 13 and/or 14 of the UK General Data Protection Regulation (UK GDPR).

+ +

Your data

+

Purpose

+

The purposes for which we are processing your personal data are:

+
    +
  • enabling login to the platform
    • +
  • information will be aggregated and used for anonymous further analysis
    • +
+ +

The data

+

We will process the following personal data:

+
    +
  • organisational email address
    • +
+ + +

Legal basis of processing

+

The legal basis for processing your personal data is:

+
    +
  • data subject consents
    • +
+ +

Recipients

+

Your personal data will be shared by us with analysts/researchers within the Department for Business and Trade if you have consented to be contacted further about Redbox Copilot.

+

As your personal data will be stored on our IT infrastructure it will also be shared with our data processors who provide email, and document management and storage services.

+ +

Retention

+

Your personal data will be retained for 12 months after account inactivity. At that point we will delete your email address, depersonalising the data we hold. If you have provided us consent to contact you, we will retain your email until and continue sharing it with evaluators so they can conduct research on the long term impact of Redbox Copilot.

+ +

Your rights

+

You have the right to request information about how your personal data are processed, and to request a copy of that personal data.

+

You have the right to request that any inaccuracies in your personal data are rectified without delay.

+

You have the right to request that any incomplete personal data are completed, including by means of a supplementary statement.

+

You have the right to request that your personal data are erased if there is no longer a justification for them to be processed.

+

You have the right in certain circumstances (for example, where accuracy is contested) to request that the processing of your personal data is restricted.

+

You have the right to object to the processing of your personal data where it is processed for direct marketing purposes.

+

You have the right to withdraw consent to the processing of your personal data at any time.

+ +

International transfers

+

As your personal data is stored on our IT infrastructure, and shared with our data processors, it may be transferred and stored securely outside the UK. Where that is the case it will be subject to equivalent legal protection through an adequacy decision or reliance on Standard Contractual Clauses.

+ +

Complaints

+

If you consider that your personal data has been misused or mishandled, you may make a complaint to the Information Commissioner, who is an independent regulator. The Information Commissioner can be contacted at: Information Commissioner's Office, Wycliffe House, Water Lane, Wilmslow, Cheshire, SK9 5AF, or 0303 123 1113, or icocasework@ico.org.uk. Any complaint to the Information Commissioner is without prejudice to your right to seek redress through the courts.

+ +

Contact details

+

If you have any questions about this privacy notice or how we handle your personal information, you can also write to us at: {{contact_email}}

+

The Department for Business and Trade are registered as a Data Controller under the General Data Protection Regulation and Data Protection Act 2018, and are based at: Department for Business and Trade, Old Admiralty Building, Admiralty Place, London, SW1A 2DY

+ + +

Changes to this notice

+

We may change this privacy notice. When we make changes to this notice, the "last updated" date at the bottom of this page will also change. Any changes to this privacy notice will apply to you and your data immediately. If these changes affect how your personal data is processed, the Department for Business and Trade will take reasonable steps to make sure you know.

+

Last updated: 21st June 2024

+
+
+ +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/privacy-notice.html b/django_app/redbox_app/templates/privacy-notice.html index 5f2b4144f..c880a05b6 100644 --- a/django_app/redbox_app/templates/privacy-notice.html +++ b/django_app/redbox_app/templates/privacy-notice.html @@ -5,62 +5,65 @@ {% block content %} -
-

Privacy notice for Redbox Copilot

-
-

This notice sets out how we will use your personal data, and your rights. It is made under Articles 13 and/or 14 of the UK General Data Protection Regulation (UK GDPR).

- -

Your data

-

Purpose

-

The purposes for which we are processing your personal data are:

-
    -
  • enabling login to the platform
    • -
  • information will be aggregated and used for anonymous further analysis
    • -
- -

The data

-

We will process the following personal data:

-
    -
  • organisational email address
    • -
- - -

Legal basis of processing

-

The legal basis for processing your personal data is:

-
    -
  • data subject consents
    • -
- -

Recipients

-

Your personal data will be shared by us with analysts/researchers within the Department for Business and Trade if you have consented to be contacted further about Redbox Copilot.

-

As your personal data will be stored on our IT infrastructure it will also be shared with our data processors who provide email, and document management and storage services.

- -

Retention

-

Your personal data will be retained for 12 months after account inactivity. At that point we will delete your email address, depersonalising the data we hold. If you have provided us consent to contact you, we will retain your email until and continue sharing it with evaluators so they can conduct research on the long term impact of Redbox Copilot.

- -

Your rights

-

You have the right to request information about how your personal data are processed, and to request a copy of that personal data.

-

You have the right to request that any inaccuracies in your personal data are rectified without delay.

-

You have the right to request that any incomplete personal data are completed, including by means of a supplementary statement.

-

You have the right to request that your personal data are erased if there is no longer a justification for them to be processed.

-

You have the right in certain circumstances (for example, where accuracy is contested) to request that the processing of your personal data is restricted.

-

You have the right to object to the processing of your personal data where it is processed for direct marketing purposes.

-

You have the right to withdraw consent to the processing of your personal data at any time.

- -

International transfers

-

As your personal data is stored on our IT infrastructure, and shared with our data processors, it may be transferred and stored securely outside the UK. Where that is the case it will be subject to equivalent legal protection through an adequacy decision or reliance on Standard Contractual Clauses.

- -

Complaints

-

If you consider that your personal data has been misused or mishandled, you may make a complaint to the Information Commissioner, who is an independent regulator. The Information Commissioner can be contacted at: Information Commissioner's Office, Wycliffe House, Water Lane, Wilmslow, Cheshire, SK9 5AF, or 0303 123 1113, or icocasework@ico.org.uk. Any complaint to the Information Commissioner is without prejudice to your right to seek redress through the courts.

- -

Contact details

-

If you have any questions about this privacy notice or how we handle your personal information, you can also write to us at: {{contact_email}}

-

The Department for Business and Trade are registered as a Data Controller under the General Data Protection Regulation and Data Protection Act 2018, and are based at: Department for Business and Trade, Old Admiralty Building, Admiralty Place, London, SW1A 2DY

- - -

Changes to this notice

-

We may change this privacy notice. When we make changes to this notice, the "last updated" date at the bottom of this page will also change. Any changes to this privacy notice will apply to you and your data immediately. If these changes affect how your personal data is processed, Cabinet Office will take reasonable steps to make sure you know.

-

Last updated: 21st June 2024

+
+
+ +

Privacy notice for Redbox

+
+

This notice sets out how we will use your personal data, and your rights. It is made under Articles 13 and/or 14 of the UK General Data Protection Regulation (UK GDPR).

+ +

Your data

+

Purpose

+

The purposes for which we are processing your personal data are:

+
    +
  • enabling login to the platform
    • +
  • information will be aggregated and used for anonymous further analysis
    • +
+ +

The data

+

We will process the following personal data:

+
    +
  • organisational email address
    • +
+ + +

Legal basis of processing

+

The legal basis for processing your personal data is:

+
    +
  • data subject consents
    • +
+ +

Recipients

+

Your personal data will be shared by us with analysts/researchers within the Cabinet Office if you have consented to be contacted further about Redbox.

+

As your personal data will be stored on our IT infrastructure it will also be shared with our data processors who provide email, and document management and storage services.

+ +

Retention

+

Your personal data will be retained for 12 months after account inactivity. At that point we will delete your email address, depersonalising the data we hold. If you have provided us consent to contact you, we will retain your email until and continue sharing it with evaluators so they can conduct research on the long term impact of Redbox.

+ +

Your rights

+

You have the right to request information about how your personal data are processed, and to request a copy of that personal data.

+

You have the right to request that any inaccuracies in your personal data are rectified without delay.

+

You have the right to request that any incomplete personal data are completed, including by means of a supplementary statement.

+

You have the right to request that your personal data are erased if there is no longer a justification for them to be processed.

+

You have the right in certain circumstances (for example, where accuracy is contested) to request that the processing of your personal data is restricted.

+

You have the right to object to the processing of your personal data where it is processed for direct marketing purposes.

+

You have the right to withdraw consent to the processing of your personal data at any time.

+ +

International transfers

+

As your personal data is stored on our IT infrastructure, and shared with our data processors, it may be transferred and stored securely outside the UK. Where that is the case it will be subject to equivalent legal protection through an adequacy decision or reliance on Standard Contractual Clauses.

+ +

Complaints

+

If you consider that your personal data has been misused or mishandled, you may make a complaint to the Information Commissioner, who is an independent regulator. The Information Commissioner can be contacted at: Information Commissioner's Office, Wycliffe House, Water Lane, Wilmslow, Cheshire, SK9 5AF, or 0303 123 1113, or icocasework@ico.org.uk. Any complaint to the Information Commissioner is without prejudice to your right to seek redress through the courts.

+ +

Contact details

+

The data controller for your personal data is the Cabinet Office. The contact details for the data controller are: Cabinet Office, 70 Whitehall, London, SW1A 2AS, or 0207 276 1234, or publiccorrespondence@cabinetoffice.gov.uk.

+

The contact details for the data controller's Data Protection Officer are: dpo@cabinetoffice.gov.uk.

+

The Data Protection Officer provides independent advice and monitoring of Cabinet Office's use of personal information.

+ +

Changes to this notice

+

We may change this privacy notice. When we make changes to this notice, the "last updated" date at the bottom of this page will also change. Any changes to this privacy notice will apply to you and your data immediately. If these changes affect how your personal data is processed, Cabinet Office will take reasonable steps to make sure you know.

+

Last updated: 16th April 2024

+
diff --git a/django_app/redbox_app/templates/streamlit_app.html b/django_app/redbox_app/templates/streamlit_app.html deleted file mode 100644 index 4cf815679..000000000 --- a/django_app/redbox_app/templates/streamlit_app.html +++ /dev/null @@ -1,8 +0,0 @@ -{% extends "base.html" %} - -{% set pageTitle = "Streamlit App" %} - -{% block content %} - - -{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/support-uktrade.html b/django_app/redbox_app/templates/support-uktrade.html new file mode 100644 index 000000000..b7b67b740 --- /dev/null +++ b/django_app/redbox_app/templates/support-uktrade.html @@ -0,0 +1,59 @@ +{% extends "base.html" %} + +{% set pageTitle = "Support" %} + +{% block content %} + +
+ +

Support

+ + {# +

User guide

+ +

You can download the User Guide (PDF, 1.1MB), a step-by-step guide to signing in and using your account.

+ +

Accessing Redbox Copilot

+

You can access your Redbox Copilot account by visiting . You'll need to type your work email address in the box provided and select the submit button.

+ #} + +

Signing in

+

If you're having trouble signing in to the Redbox Copilot platform, check that:

+ +
    +
  • you're using your work email address
    • +
  • you've typed your work email address correctly
    • +
+ +

You should check your junk or spam folder for an email from Redbox Copilot.

+ +

If you're still having trouble then you can contact us using the details at the bottom of this page.

+ + {# +

Email address not allowed

+

If you see the error message: "Currently you need a Civil Service email address to register", contact us using the details at the bottom of this page and include the name of your organisation.

+ +

Can’t find my government department

+

If you can’t find the department you belong to when you are signing in for the first time then go to the bottom of the dropdown list and if you are:

+
    +
  • a civil servant then choose: Other - Civil Servant
    • +
  • a public servant then choose: Other - Public Servant
    • +
  • not sure then choose: Other
    • +
+ +

Can’t find my grade

+

If the grades shown do not fit with your role then either choose the one that is equivalent to your role or select ‘Other’.

+ #} + +

Bug or site vulnerability

+

If you've found an issue or a vulnerability, contact us using the details at the bottom of this page including as much information as possible.

+ +

Website not loading

+

If the website is not loading, please close the browser tab and try again later.

+ +

Contact us

+

If you've read the information above but haven't been able to find a solution to your problem, please email us at {{contact_email}} including as much information as possible.

+ +
+ +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/templates/support.html b/django_app/redbox_app/templates/support.html index b7b67b740..74ef590dc 100644 --- a/django_app/redbox_app/templates/support.html +++ b/django_app/redbox_app/templates/support.html @@ -4,56 +4,58 @@ {% block content %} -
+
+
-

Support

+

Support

- {# -

User guide

- -

You can download the User Guide (PDF, 1.1MB), a step-by-step guide to signing in and using your account.

+ {# +

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+ +

You can download the User Guide (PDF, 1.1MB), a step-by-step guide to signing in and using your account.

-

Accessing Redbox Copilot

-

You can access your Redbox Copilot account by visiting . You'll need to type your work email address in the box provided and select the submit button.

- #} +

Accessing Redbox

+

You can access your Redbox account by visiting . You'll need to type your work email address in the box provided and select the submit button.

+ #} -

Signing in

-

If you're having trouble signing in to the Redbox Copilot platform, check that:

+

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+

If you're having trouble signing in to the Redbox platform, check that:

-
    -
  • you're using your work email address
    • -
  • you've typed your work email address correctly
    • -
+
    +
  • you're using your work email address
    • +
  • you've typed your work email address correctly
    • +
-

You should check your junk or spam folder for an email from Redbox Copilot.

+

You should check your junk or spam folder for an email from Redbox.

-

If you're still having trouble then you can contact us using the details at the bottom of this page.

+

If you're still having trouble then you can contact us using the details at the bottom of this page.

- {# -

Email address not allowed

-

If you see the error message: "Currently you need a Civil Service email address to register", contact us using the details at the bottom of this page and include the name of your organisation.

+ {# +

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+

If you see the error message: "Currently you need a Civil Service email address to register", contact us using the details at the bottom of this page and include the name of your organisation.

-

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-

If you can’t find the department you belong to when you are signing in for the first time then go to the bottom of the dropdown list and if you are:

-
    -
  • a civil servant then choose: Other - Civil Servant
    • -
  • a public servant then choose: Other - Public Servant
    • -
  • not sure then choose: Other
    • -
+

Can’t find my government department

+

If you can’t find the department you belong to when you are signing in for the first time then go to the bottom of the dropdown list and if you are:

+
    +
  • a civil servant then choose: Other - Civil Servant
    • +
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  • not sure then choose: Other
    • +
-

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If the grades shown do not fit with your role then either choose the one that is equivalent to your role or select ‘Other’.

- #} +

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+

If the grades shown do not fit with your role then either choose the one that is equivalent to your role or select ‘Other’.

+ #} -

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-

If you've found an issue or a vulnerability, contact us using the details at the bottom of this page including as much information as possible.

+

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If you've read the information above but haven't been able to find a solution to your problem, please email us at {{contact_email}} including as much information as possible.

+

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+
{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/urls.py b/django_app/redbox_app/urls.py index 43694bcd1..61d49943f 100644 --- a/django_app/redbox_app/urls.py +++ b/django_app/redbox_app/urls.py @@ -64,7 +64,6 @@ name="check-demographics", ), path("demographics/", views.DemographicsView.as_view(), name="demographics"), - # path("streamlit/", views.streamlit_view, name="streamlit_view"), ] urlpatterns = ( diff --git a/docker-compose.yml b/docker-compose.yml index ee586cb76..ab10cbb9b 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -29,20 +29,6 @@ services: retries: 24 start_period: 60s - streamlit-app: - image: streamlit-app:latest - build: - context: . - dockerfile: ./notebooks/evaluation/Dockerfile - ports: - - "8501:8501" - networks: - - redbox-app-network - env_file: - - .env - volumes: - - ./notebooks/evaluation:/app/notebooks/evaluation - db: image: postgres:13 @@ -258,5 +244,4 @@ volumes: mlflow-data: redis: driver: local - redis-insight: - streamlit-app: + redis-insight: \ No newline at end of file diff --git a/docs/contributing.md b/docs/contributing.md index 1bbe15976..fc2ce799f 100644 --- a/docs/contributing.md +++ b/docs/contributing.md @@ -54,6 +54,18 @@ We will then take care of the issue as soon as possible. > > When contributing to this project, you must agree that you have authored 100% of the content, that you have the necessary rights to the content and that the content you contribute may be provided under the project license. +### Branch strategy + +To maintain a well-organised and efficient workflow, we must adhere to a specific branching strategy. + +- The **main** branch should be reserved exclusively for production-ready code that has previously been tested in [the sandbox environment](https://redbox-sandbox.uktrade.digital/) +- The **dev** branch is intended for changes that need to be tested in [the sandbox environment](https://redbox-sandbox.uktrade.digital/) + +### Pull requests + +- Each feature, bug fix or task should be on a **dedicated feature branch**, following [this convention](https://dev.to/varbsan/a-simplified-convention-for-naming-branches-and-commits-in-git-il4) +- The **main** and **dev** branches are protected. This means all Pull Requests must be approved by at least one reviewer before merging. + ### Reporting Bugs #### Before Submitting a Bug Report diff --git a/notebooks/evaluation/Dockerfile b/notebooks/evaluation/Dockerfile deleted file mode 100644 index 0fbed9c76..000000000 --- a/notebooks/evaluation/Dockerfile +++ /dev/null @@ -1,44 +0,0 @@ -FROM python:3.11-buster as builder - -WORKDIR /app - -RUN pip install poetry - -ENV POETRY_NO_INTERACTION=1 \ - POETRY_VIRTUALENVS_IN_PROJECT=1 \ - POETRY_VIRTUALENVS_CREATE=1 \ - POETRY_CACHE_DIR=/tmp/poetry_cache - -ADD pyproject.toml poetry.lock /app/ -ADD redbox-core /app/redbox-core -ADD README.md /app/README.md -COPY ../../django_app /app/django_app -COPY django_app/pyproject.toml django_app/poetry.lock /app/django_app/ - -RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi - -WORKDIR /app/django_app -RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi - -WORKDIR /app - -COPY notebooks/evaluation/app.py /app/ - -FROM python:3.11-slim as runtime - -WORKDIR /app - -RUN apt-get update && apt-get install --yes libpq-dev curl > /dev/null - -ENV VIRTUAL_ENV=/app/.venv \ - PATH="/app/.venv/bin:$PATH" \ - PYTHONPATH="/app/django_app" - -COPY --from=builder /app/.venv /app/.venv - -COPY notebooks/evaluation /app/notebooks/evaluation -COPY --from=builder /app/django_app /app/django_app - -EXPOSE 8501 - -ENTRYPOINT ["streamlit", "run", "notebooks/evaluation/app.py", "--server.port=8501", "--server.address=0.0.0.0"] diff --git a/notebooks/poetry.lock b/notebooks/poetry.lock index ae72b0c9d..9d94ed187 100644 --- a/notebooks/poetry.lock +++ b/notebooks/poetry.lock @@ -13,87 +13,87 @@ files = [ [[package]] name = "aiohttp" -version = "3.10.2" +version = "3.10.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" files = [ - {file = "aiohttp-3.10.2-cp310-cp310-macosx_10_9_universal2.whl", hash = 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changed, 4 insertions(+), 3 deletions(-) diff --git a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb index e287a8804..541987510 100644 --- a/notebooks/evaluation/rag_create_evaluation_dataset.ipynb +++ b/notebooks/evaluation/rag_create_evaluation_dataset.ipynb @@ -542,7 +542,8 @@ "def chunk_files(\n", " file_path: str\n", " ) -> t.Iterable[Document]:\n", - "\n", + " \n", + " # Not sure if keys, buckets, and uuids required for evaluation. Appears to work without.\n", " my_file = File(\n", " uuid= USER_UUID,\n", " key = 'a',\n", @@ -578,10 +579,10 @@ " model: SentenceTransformerDB\n", " ) -> None:\n", "\n", - " # Embed\n", + " # Embed chunks\n", " embeddings = [embedding.embedding for embedding in model(embedding_model_name = MODEL).embed_sentences([chunk.page_content for chunk in chunks]).data]\n", "\n", - " # Merge with chunk metadata\n", + " # Merge embeddings with chunk metadata\n", " chunks_embedded = []\n", " for chunk, embedding in zip(chunks, embeddings, strict=True):\n", "\n", From 3c82166d102751a9cae57099dde7319656b6abaa Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Tue, 20 Aug 2024 13:58:08 +0100 Subject: [PATCH 118/153] release: merge latest dev changes into main (#60) * feat: DBT Specific content changes need to be configurable * ensuring SESSION_COOKIE_SAMESITE doesnt exist in dbt envs * accidentally reverted REPO_OWNER var * Added G4 analytics to base.html * feat: add branch strategy and pr instructions to readme.md (#34) * fix: revert all streamlit docker integration (#52) * fix: update notebooks poetry.lock file (#54) * Bump certifi from 2024.6.2 to 2024.7.4 in /django_app (#56) Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. - [Commits](https://github.com/certifi/python-certifi/compare/2024.06.02...2024.07.04) --- updated-dependencies: - dependency-name: certifi dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump streamlit from 1.36.0 to 1.37.0 (#46) Bumps [streamlit](https://github.com/streamlit/streamlit) from 1.36.0 to 1.37.0. - [Release notes](https://github.com/streamlit/streamlit/releases) - [Commits](https://github.com/streamlit/streamlit/compare/1.36.0...1.37.0) --- updated-dependencies: - dependency-name: streamlit dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Tash Boyse * Feat: DBT specific content changes (#33) * feat: DBT Specific content changes need to be configurable * ensuring SESSION_COOKIE_SAMESITE doesnt exist in dbt envs * accidentally reverted REPO_OWNER var * fix: dev incorrect commits (#59) * refactor chunk and embed process for 0.4 * refactor chunk-embed for 0.4; update pass rates and plots * revert to default values; update plot and table outputs * move redundant imports * release: Merge latest dev into main (#57) * feat: add branch strategy and pr instructions to readme.md (#34) * fix: revert all streamlit docker integration (#52) * fix: update notebooks poetry.lock file (#54) * Bump certifi from 2024.6.2 to 2024.7.4 in /django_app (#56) Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. - [Commits](https://github.com/certifi/python-certifi/compare/2024.06.02...2024.07.04) --- updated-dependencies: - dependency-name: certifi dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump streamlit from 1.36.0 to 1.37.0 (#46) Bumps [streamlit](https://github.com/streamlit/streamlit) from 1.36.0 to 1.37.0. - [Release notes](https://github.com/streamlit/streamlit/releases) - [Commits](https://github.com/streamlit/streamlit/compare/1.36.0...1.37.0) --- updated-dependencies: - dependency-name: streamlit dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Tash Boyse * Feat: DBT specific content changes (#33) * feat: DBT Specific content changes need to be configurable * ensuring SESSION_COOKIE_SAMESITE doesnt exist in dbt envs * accidentally reverted REPO_OWNER var --------- Signed-off-by: dependabot[bot] Co-authored-by: A Gleeson Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * update comments * Added G4 analytics to base.html * Bump certifi from 2024.6.2 to 2024.7.4 in /django_app (#56) Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. - [Commits](https://github.com/certifi/python-certifi/compare/2024.06.02...2024.07.04) --- updated-dependencies: - dependency-name: certifi dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --------- Signed-off-by: dependabot[bot] Co-authored-by: esoutter Co-authored-by: A Gleeson Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Euan Soutter <168103747+esoutter@users.noreply.github.com> Co-authored-by: Simon Strong * fix: accidental removal of comment block close --------- Signed-off-by: dependabot[bot] Co-authored-by: Simon Strong Co-authored-by: A Gleeson Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: simonstrong-dbt <168641861+simonstrong-dbt@users.noreply.github.com> Co-authored-by: esoutter Co-authored-by: Euan Soutter <168103747+esoutter@users.noreply.github.com> --- django_app/redbox_app/templates/base.html | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index 5e1dbc96f..512235b4c 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -27,6 +27,19 @@ data-domain="redbox.ai.cabinetoffice.gov.uk" src="https://plausible.io/js/script.pageview-props.tagged-events.outbound-links.file-downloads.js"> {% endif %} + {% if environment | lower == "prod" and repo_owner | lower == "uktrade" %} + + + + + {% endif %} + {# Temporarily removed due to this adding inline styles, which our CSP doesn't allow {% if environment | lower == "preprod" %} From 1397339c2913b0277a7a4d012226cc6040ba7109 Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Wed, 21 Aug 2024 14:12:31 +0100 Subject: [PATCH 119/153] change var to expect 'production' --- django_app/redbox_app/templates/base.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index 512235b4c..84046bae3 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -27,7 +27,7 @@ data-domain="redbox.ai.cabinetoffice.gov.uk" src="https://plausible.io/js/script.pageview-props.tagged-events.outbound-links.file-downloads.js"> {% endif %} - {% if environment | lower == "prod" and repo_owner | lower == "uktrade" %} + {% if environment | lower == "production" and repo_owner | lower == "uktrade" %} - + + + + +{% endif %} {# Temporarily removed due to this adding inline styles, which our CSP doesn't allow {% if environment | lower == "preprod" %} diff --git a/django_app/redbox_app/templates/documents.html b/django_app/redbox_app/templates/documents.html index c8f35d6cb..d1dbf4c3c 100644 --- a/django_app/redbox_app/templates/documents.html +++ b/django_app/redbox_app/templates/documents.html @@ -30,13 +30,13 @@

Your documents

Redbox is a service that lets you securely use a Large Language Model - (LLM) with or without documents up to OFFICIAL SENSITIVE. + (LLM) with or without documents up to OFFICIAL.

This means you can:

  • Chat directly with an LLM (currently GPT-4o)
  • - Upload OFFICIAL and OFFICIAL SENSITIVE documents that do not include + Upload OFFICIAL documents that do not include personal data.
  • Summarise or ask questions of these documents.
    • From 6e0fb2ee3081bdd39dc6ae08b0705dea7cae6ec9 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Thu, 22 Aug 2024 17:08:06 +0100 Subject: [PATCH 129/153] Dev -> main release (#74) * fix: minor feature changes (#72) * Fix/google analytics (#73) * fix: google analytics * working nonce * add our gtm links to csp --- .env.uktrade | 5 ++++- .github/PULL_REQUEST_TEMPLATE.md | 1 + django_app/redbox_app/redbox_core/admin.py | 1 + django_app/redbox_app/settings.py | 12 ++++++++++- django_app/redbox_app/templates/base.html | 20 ++++++++++--------- .../redbox_app/templates/documents.html | 4 ++-- 6 files changed, 30 insertions(+), 13 deletions(-) diff --git a/.env.uktrade b/.env.uktrade index 56ce53cae..b18e2ae8e 100644 --- a/.env.uktrade +++ b/.env.uktrade @@ -74,4 +74,7 @@ SUPERUSER_EMAIL=isobel.daley@digital.trade.gov.uk REPO_OWNER=uktrade WORKER_INGEST_MAX_CHUNK_SIZE=600 -WORKER_INGEST_MIN_CHUNK_SIZE=400 \ No newline at end of file +WORKER_INGEST_MIN_CHUNK_SIZE=400 + +ANALYTICS_TAG=REPLACE_WITH_GITLAB_SECRET +ANALYTICS_LINK=REPLACE_WITH_GITLAB_SECRET \ No newline at end of file diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index 47f72b836..74f1ea66e 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -18,3 +18,4 @@ - [ ] I have added any new ENV vars in all deployed environments - [ ] I have tested any code added or changed - [ ] I have run integration tests +- [ ] I have added/updated any DBT specific changes to .env.uktrade diff --git a/django_app/redbox_app/redbox_core/admin.py b/django_app/redbox_app/redbox_core/admin.py index c27ee97de..961809bd5 100644 --- a/django_app/redbox_app/redbox_core/admin.py +++ b/django_app/redbox_app/redbox_core/admin.py @@ -173,6 +173,7 @@ def export_as_csv(self, request, queryset: QuerySet): # noqa:ARG002 list_filter = ["users"] date_hierarchy = "created_at" actions = ["export_as_csv"] + ordering = ["-created_at"] class CitationAdmin(admin.ModelAdmin): diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 503c07dc6..4dac6c90e 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -161,6 +161,9 @@ "'self'", "s3.amazonaws.com", "plausible.io", + "https://www.google-analytics.com/", + "https://region1.google-analytics.com/", + "https://www.googletagmanager.com/", ) CSP_SCRIPT_SRC = ( "'self'", @@ -168,6 +171,9 @@ "plausible.io", "eu.i.posthog.com", "eu-assets.i.posthog.com", + "https://tagmanager.google.com/", + "https://www.googletagmanager.com/", + "ajax.googleapis.com/", ) CSP_OBJECT_SRC = ("'none'",) CSP_REQUIRE_TRUSTED_TYPES_FOR = ("'script'",) @@ -175,7 +181,8 @@ "'self'", "s3.amazonaws.com", ) -CSP_STYLE_SRC = ("'self'",) +CSP_INCLUDE_NONCE_IN = ("script-src",) +CSP_STYLE_SRC = ("'self'", "https://tagmanager.google.com/",) CSP_FRAME_ANCESTORS = ("'none'",) CSP_CONNECT_SRC = [ "'self'", @@ -183,6 +190,9 @@ "plausible.io", "eu.i.posthog.com", "eu-assets.i.posthog.com", + "https://www.google-analytics.com/", + "https://region1.google-analytics.com/", + "https://www.googletagmanager.com/", ] # https://pypi.org/project/django-permissions-policy/ diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index 84046bae3..95dccce0c 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -1,4 +1,5 @@ {% from "macros/iai-top-nav.html" import iaiTopNav %} +{% set cspNonce=request.csp_nonce %} @@ -28,17 +29,18 @@ {% endif %} {% if environment | lower == "production" and repo_owner | lower == "uktrade" %} - - - + + + + +{% endif %} {# Temporarily removed due to this adding inline styles, which our CSP doesn't allow {% if environment | lower == "preprod" %} diff --git a/django_app/redbox_app/templates/documents.html b/django_app/redbox_app/templates/documents.html index c8f35d6cb..d1dbf4c3c 100644 --- a/django_app/redbox_app/templates/documents.html +++ b/django_app/redbox_app/templates/documents.html @@ -30,13 +30,13 @@

    Your documents

    Redbox is a service that lets you securely use a Large Language Model - (LLM) with or without documents up to OFFICIAL SENSITIVE. + (LLM) with or without documents up to OFFICIAL.

    This means you can:

    • Chat directly with an LLM (currently GPT-4o)
    • - Upload OFFICIAL and OFFICIAL SENSITIVE documents that do not include + Upload OFFICIAL documents that do not include personal data.
    • Summarise or ask questions of these documents.
      • From 01093bb1664085e2dac596ecb3316c024813a36e Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 23 Aug 2024 14:34:50 +0100 Subject: [PATCH 130/153] Bump nltk from 3.8.1 to 3.9 (#62) Bumps [nltk](https://github.com/nltk/nltk) from 3.8.1 to 3.9. - [Changelog](https://github.com/nltk/nltk/blob/develop/ChangeLog) - [Commits](https://github.com/nltk/nltk/compare/3.8.1...3.9) --- updated-dependencies: - dependency-name: nltk dependency-type: direct:development ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- poetry.lock | 10 +++++----- pyproject.toml | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/poetry.lock b/poetry.lock index 3043e690e..1ca1d1acf 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3972,13 +3972,13 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"] [[package]] name = "nltk" -version = "3.8.1" +version = "3.9.1" description = "Natural Language Toolkit" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "nltk-3.8.1-py3-none-any.whl", hash = "sha256:fd5c9109f976fa86bcadba8f91e47f5e9293bd034474752e92a520f81c93dda5"}, - {file = "nltk-3.8.1.zip", hash = "sha256:1834da3d0682cba4f2cede2f9aad6b0fafb6461ba451db0efb6f9c39798d64d3"}, + {file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"}, + {file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"}, ] [package.dependencies] @@ -8492,4 +8492,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = "525bde7ef6ab294c9f189444641cd60d4376b9014626e62f0fdff73690223efc" +content-hash = "25a0066080a4bf9043282293c89cd4ab34c4dc660444811678a29d237ccb9e94" diff --git a/pyproject.toml b/pyproject.toml index f7ba11093..a70873c2d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -43,7 +43,7 @@ websockets = "^12.0" [tool.poetry.group.worker.dependencies] opencv-python-headless = "^4.10.0.84" -nltk = "^3.8.1" +nltk = "^3.9" langchain-community = "^0.2.6" [tool.poetry.group.dev.dependencies] From 0e401ee16cbcd18edc8945a0433ab5d6918e1aaf Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 27 Aug 2024 12:46:37 +0100 Subject: [PATCH 131/153] add development as a support environment --- django_app/redbox_app/setting_enums.py | 25 +++++++++++++++++++++---- 1 file changed, 21 insertions(+), 4 deletions(-) diff --git a/django_app/redbox_app/setting_enums.py b/django_app/redbox_app/setting_enums.py index f63d9b2cb..4c64f2fbf 100644 --- a/django_app/redbox_app/setting_enums.py +++ b/django_app/redbox_app/setting_enums.py @@ -20,12 +20,29 @@ def is_local(self) -> bool: def uses_minio(self) -> bool: return self.is_test - LOCAL = ("LOCAL", True, ["localhost", "127.0.0.1", "0.0.0.0", *ADDITIONAL_HOSTS]) # noqa: S104 nosec: B104: Not in prod - INTEGRATION = ("INTEGRATION", True, ["localhost", "127.0.0.1", "0.0.0.0", *ADDITIONAL_HOSTS]) # noqa: S104 nosec: B104: Not in prod + LOCAL = ( + "LOCAL", + True, + ["localhost", "127.0.0.1", "0.0.0.0", *ADDITIONAL_HOSTS], + ) # noqa: S104 nosec: B104: Not in prod + INTEGRATION = ( + "INTEGRATION", + True, + ["localhost", "127.0.0.1", "0.0.0.0", *ADDITIONAL_HOSTS], + ) # noqa: S104 nosec: B104: Not in prod DEV = ("DEV", False, ["redbox-dev.ai.cabinetoffice.gov.uk", *ADDITIONAL_HOSTS]) - PREPROD = ("PREPROD", False, ["redbox-preprod.ai.cabinetoffice.gov.uk", *ADDITIONAL_HOSTS]) + DEVELOPMENT = ("DEVELOPMENT", False, [*ADDITIONAL_HOSTS]) + PREPROD = ( + "PREPROD", + False, + ["redbox-preprod.ai.cabinetoffice.gov.uk", *ADDITIONAL_HOSTS], + ) PROD = ("PROD", False, ["redbox.ai.cabinetoffice.gov.uk", *ADDITIONAL_HOSTS]) - PRODUCTION = ("PRODUCTION", False, ["redbox-trial.uktrade.digital", *ADDITIONAL_HOSTS]) + PRODUCTION = ( + "PRODUCTION", + False, + ["redbox-trial.uktrade.digital", *ADDITIONAL_HOSTS], + ) class Classification(StrEnum): From 92f17eef4e2c00f47692d8285e4d5024da1d24a3 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 27 Aug 2024 12:49:19 +0100 Subject: [PATCH 132/153] add sandbox, environment --- django_app/redbox_app/setting_enums.py | 1 + django_app/redbox_app/settings.py | 6 +++++- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/django_app/redbox_app/setting_enums.py b/django_app/redbox_app/setting_enums.py index 4c64f2fbf..1e2d1664d 100644 --- a/django_app/redbox_app/setting_enums.py +++ b/django_app/redbox_app/setting_enums.py @@ -32,6 +32,7 @@ def uses_minio(self) -> bool: ) # noqa: S104 nosec: B104: Not in prod DEV = ("DEV", False, ["redbox-dev.ai.cabinetoffice.gov.uk", *ADDITIONAL_HOSTS]) DEVELOPMENT = ("DEVELOPMENT", False, [*ADDITIONAL_HOSTS]) + SANDBOX = ("SANDBOX", False, [*ADDITIONAL_HOSTS]) PREPROD = ( "PREPROD", False, diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 4dac6c90e..81ec1d848 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -21,6 +21,7 @@ WEBSOCKET_SCHEME = "ws" if ENVIRONMENT.is_test else "wss" LOGIN_METHOD = env.str("LOGIN_METHOD", "magic_link") +# TODO remove and use, additional hosts variable if env.str("HOSTS", ""): env_hosts = env.str("HOSTS", "").split(",") else: @@ -182,7 +183,10 @@ "s3.amazonaws.com", ) CSP_INCLUDE_NONCE_IN = ("script-src",) -CSP_STYLE_SRC = ("'self'", "https://tagmanager.google.com/",) +CSP_STYLE_SRC = ( + "'self'", + "https://tagmanager.google.com/", +) CSP_FRAME_ANCESTORS = ("'none'",) CSP_CONNECT_SRC = [ "'self'", From f324d67f72229443959f5afc0a622fe4d2e27df2 Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Wed, 4 Sep 2024 09:13:47 +0100 Subject: [PATCH 133/153] Added Password=None --- Makefile | 2 +- django_app/redbox_app/redbox_core/models.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/Makefile b/Makefile index e29703692..5e197721e 100644 --- a/Makefile +++ b/Makefile @@ -124,7 +124,7 @@ docs-build: ## Build documentation poetry run mkdocs build # Docker -AWS_ACCOUNT_ID=REPLACE_ME +AWS_ACCOUNT_ID=381491837320 AWS_REGION=eu-west-2 APP_NAME=dbt diff --git a/django_app/redbox_app/redbox_core/models.py b/django_app/redbox_app/redbox_core/models.py index ab40b80bf..a4f2b46bc 100644 --- a/django_app/redbox_app/redbox_core/models.py +++ b/django_app/redbox_app/redbox_core/models.py @@ -69,7 +69,7 @@ def create_user(self, username, password=None, **extra_fields): extra_fields.setdefault("is_superuser", False) return self._create_user(username, password, **extra_fields) - def create_superuser(self, username, password, **extra_fields): + def create_superuser(self, username, password=None, **extra_fields): """Create and save a SuperUser with the given email and password.""" extra_fields.setdefault("is_staff", True) extra_fields.setdefault("is_superuser", True) From 6c58ad4df2643f086a83df30d7f233635c5a1c3a Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Wed, 4 Sep 2024 10:25:50 +0100 Subject: [PATCH 134/153] added REPLACE_ME --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 5e197721e..e29703692 100644 --- a/Makefile +++ b/Makefile @@ -124,7 +124,7 @@ docs-build: ## Build documentation poetry run mkdocs build # Docker -AWS_ACCOUNT_ID=381491837320 +AWS_ACCOUNT_ID=REPLACE_ME AWS_REGION=eu-west-2 APP_NAME=dbt From 1fe039a13e8a7fdd06aba93c9e6a366e1d53d488 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Fri, 6 Sep 2024 08:51:47 +0100 Subject: [PATCH 135/153] fix: summarise route not working (#80) * fix: summarise route not working * make the change to the route too --- core-api/core_api/routes/chat.py | 2 +- core-api/core_api/semantic_routes.py | 2 +- django_app/redbox_app/templates/macros/chat-macros.html | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/core-api/core_api/routes/chat.py b/core-api/core_api/routes/chat.py index 426c9c7d2..dd3eaff97 100644 --- a/core-api/core_api/routes/chat.py +++ b/core-api/core_api/routes/chat.py @@ -48,7 +48,7 @@ async def route_chat( def select_chat_chain(chat_request: ChatRequest, routable_chains: dict[str, Runnable]) -> Runnable: if chat_request.selected_files: - return routable_chains.get("chat/documents") + return routable_chains.get("summarise") else: return routable_chains.get("chat") diff --git a/core-api/core_api/semantic_routes.py b/core-api/core_api/semantic_routes.py index b41601a07..5f221c640 100644 --- a/core-api/core_api/semantic_routes.py +++ b/core-api/core_api/semantic_routes.py @@ -49,7 +49,7 @@ def get_routable_chains( "Answer questions as a helpful assistant", ), ( - ChatRoute.chat_with_docs, + ChatRoute.summarise, chat_with_docs_chain, "Answer questions as a helpful assistant using the documents provided", ), diff --git a/django_app/redbox_app/templates/macros/chat-macros.html b/django_app/redbox_app/templates/macros/chat-macros.html index f8d03d7b9..3c00b78e3 100644 --- a/django_app/redbox_app/templates/macros/chat-macros.html +++ b/django_app/redbox_app/templates/macros/chat-macros.html @@ -14,7 +14,7 @@

      • I can @chat about general questions, not related to your documents
        • -
      • I can @chat/documents over selected documents and +
      • I can @summarise over selected documents and do Q&A on them, extract information, summarise and more!
      • I can help you @search over selected documents and do Q&A on them, with citations
        • From eeb65eb3f776a8719f8e3b899cc43a6f57f1c5f9 Mon Sep 17 00:00:00 2001 From: Natasha Boyse Date: Fri, 6 Sep 2024 11:07:17 +0100 Subject: [PATCH 136/153] fix: missing change to core-api --- redbox-core/redbox/models/chat.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/redbox-core/redbox/models/chat.py b/redbox-core/redbox/models/chat.py index 85fdd98bb..dcaa73e9a 100644 --- a/redbox-core/redbox/models/chat.py +++ b/redbox-core/redbox/models/chat.py @@ -72,7 +72,7 @@ class ChatRoute(StrEnum): summarise = "summarise" map_reduce_summarise = "summarise/documents/large" chat = "chat" - chat_with_docs = "chat/documents" + chat_with_docs = "summarise" chat_with_docs_map_reduce = "chat/documents/large" From f81d8232f45fbd9cffe18ec2fd57177bed65758e Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Wed, 11 Sep 2024 13:58:14 +0100 Subject: [PATCH 137/153] Added FAQs and reorganised components on homepage --- django_app/redbox_app/templates/base.html | 6 + django_app/redbox_app/templates/homepage.html | 144 +++++++++++++++++- 2 files changed, 148 insertions(+), 2 deletions(-) diff --git a/django_app/redbox_app/templates/base.html b/django_app/redbox_app/templates/base.html index 95dccce0c..306eeee22 100644 --- a/django_app/redbox_app/templates/base.html +++ b/django_app/redbox_app/templates/base.html @@ -53,6 +53,12 @@ + + + Skip to main content {% if environment | lower != "prod" %} diff --git a/django_app/redbox_app/templates/homepage.html b/django_app/redbox_app/templates/homepage.html index dce61061c..df88bfe67 100644 --- a/django_app/redbox_app/templates/homepage.html +++ b/django_app/redbox_app/templates/homepage.html @@ -30,15 +30,155 @@

        Ask any question of documen
        -
        - +

        Upload

        Easily upload a wide range of document formats into your personal Redbox.

        +
        +

        Chat

        You can communicate with your Redbox and ask questions of the documents contained within. Use Redbox to unlock deeper insights in the various documents you have uploaded, pulling together summaries of individual or combined documents.

        +
        +

        Secure

        Redbox is built in our secure and private cloud which enables you to upload, up to, and including, {{ security }} documents in your Redbox.

        +
        +
        +
        +
        +
        +
        +
        +

        Frequently Asked Questions

        +

        Responses to these FAQs about Redbox were generated using Redbox.

        +
        +
        +
        +
        +
        +

        + + What is Redbox? + +

        +
        +
        +

        + I am an AI assistant called Redbox, designed to answer questions and provide information based on a wide range of topics, using objective data and insights. +

        +
        +
        +
        +
        +

        + + What is Generative AI? + +

        +
        +
        +

        + I am an AI assistant called Redbox, designed to answer questions and provide information based on a wide range of topics, using objective data and insights. +

        +
        +
        +
        +
        +

        + + Do I need technical skills to use Redbox? + +

        +
        +
        +

        + I am an AI assistant called Redbox, designed to answer questions and provide information based on a wide range of topics, using objective data and insights. +

        +
        +
        +
        +
        +

        + + What can I and can’t I share with Redbox? + +

        +
        +
        +

        + You can share general questions and topics for information or help. However, you should not share personal, sensitive, or confidential information, including financial details, passwords, or private identifiers, as I am designed to prioritize user privacy and security. +

        +
        +
        +
        +
        +

        + + What is a ‘hallucination’? + +

        +
        +
        +

        + In the context of AI, a "hallucination" refers to an instance where a generative model produces information or responses that are plausible-sounding but factually incorrect or entirely fabricated. This phenomenon can occur when the model extrapolates from its training data in ways that lead to inaccuracies. +

        +
        +
        +
        +
        +

        + + What are the main things Redbox can do? + +

        +
        +
        +

        + Redbox can answer questions across a wide range of topics, provide explanations and definitions, assist with problem-solving, generate ideas, and offer insights based on available information. Additionally, it can help users better understand complex subjects and guide them in finding resources or information. +

        +
        +
        +
        +
        +

        + + What can’t Redbox do? + +

        +
        +
        +

        + Redbox cannot perform tasks that require personal judgment, such as making decisions for individuals, offering medical or legal advice, providing real-time data updates, or processing personal transactions. It is also unable to access external databases or browse the internet for live information beyond its training data. +

        +
        +
        +
        +
        +

        + + Why can Redbox get things wrong? + +

        +
        +
        +

        + Redbox can get things wrong due to limitations in its training data, potential biases in the information it was trained on, and the inherent complexities of language and context. Additionally, the model may misinterpret questions or generate responses that seem plausible but are incorrect, known as "hallucinations." +

        +
        +
        +
        +
        +

        + + How and when does Redbox include sources in its responses? + +

        +
        +
        +

        + Redbox does not directly include sources in its responses, as it generates information based on a wide range of training data rather than from specific, citable sources. However, it aims to provide accurate and reliable information based on common knowledge up to its last training cut-off in October 2023. If you require sourcing, it's recommended to verify the information from credible sources independently. +

        +
        From 74cce8f648c5fc99f48228e38428c80e58b113da Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 11 Sep 2024 17:23:33 +0100 Subject: [PATCH 138/153] Updated poetry lock and included bucket creation locally --- core-api/poetry.lock | 2177 ++++++++++++++------------- django_app/poetry.lock | 1568 ++++++++++--------- docker-compose.yml | 3 +- worker/poetry.lock | 3236 ++++++++++++++++++++-------------------- 4 files changed, 3528 insertions(+), 3456 deletions(-) diff --git a/core-api/poetry.lock b/core-api/poetry.lock index fa118964c..8435c957e 100644 --- a/core-api/poetry.lock +++ b/core-api/poetry.lock @@ -2,98 +2,113 @@ [[package]] name = "aiohappyeyeballs" -version = "2.3.5" +version = "2.4.0" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.8" files = [ - {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"}, - {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"}, + {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"}, + {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"}, ] [[package]] name = "aiohttp" -version = "3.10.3" +version = "3.10.5" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" files = [ - {file = "aiohttp-3.10.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cc36cbdedf6f259371dbbbcaae5bb0e95b879bc501668ab6306af867577eb5db"}, - {file = "aiohttp-3.10.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85466b5a695c2a7db13eb2c200af552d13e6a9313d7fa92e4ffe04a2c0ea74c1"}, - {file = "aiohttp-3.10.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:71bb1d97bfe7e6726267cea169fdf5df7658831bb68ec02c9c6b9f3511e108bb"}, - {file = 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install --with dev && poetry run python -m pytest -m "not ai" --cov=core_api -v --cov-report=term-missing --cov-fail-under=75 diff --git a/README.md b/README.md index 36fdadc74..cd62c4f0f 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,6 @@ Redbox is a retrieval augmented generation (RAG) app that uses GenAI to chat wit - **Better retrieval**. Redbox increases organisational memory by indexing documents - **Faster, accurate summarisation**. Redbox can summarise reports read months ago, supplement them with current work, and produce a first draft that lets civil servants focus on what they do best - https://github.com/i-dot-ai/redbox-copilot/assets/8233643/e7984242-1403-4c93-9e68-03b3f065b38d # Setup @@ -184,9 +183,9 @@ On initial app setup you will need to run `poetry run python manage.py collectst checkout the `main` branch of the following repos: -* https://github.com/i-dot-ai/redbox -* https://github.com/i-dot-ai/i-ai-core-infrastructure/ -* https://github.com/i-dot-ai/redbox-copilot-infra-config +- https://github.com/i-dot-ai/redbox +- https://github.com/i-dot-ai/i-ai-core-infrastructure/ +- https://github.com/i-dot-ai/redbox-copilot-infra-config If, and only if, you want to deploy something other than HEAD then replace `var.image_tag` in `infrastructure/aws/ecs.tf` with the hash of the build you want deployed. @@ -197,3 +196,13 @@ cd redbox make tf_init make tf_apply env= ``` + +Local set up for DBT + +``` +cp .env.uktrade .env +docker-compose build +docker-compose up -d +docker-compose exec django-app bash +venv/bin/django-admin manage.py createsuperuser +``` diff --git a/core-api/pyproject.toml b/core-api/pyproject.toml index 6e4acd08a..8738b3bfe 100644 --- a/core-api/pyproject.toml +++ b/core-api/pyproject.toml @@ -50,8 +50,7 @@ build-backend = "poetry.core.masonry.api" addopts = "--import-mode=importlib" env_override_existing_values = 1 env_files = [ - "../.env.test", - "../.env" + "../.env.test" ] markers = [ "incremental: marks tests as incremental (deselect with '-m \"not incremental\"')", From 2c65b2f6978027d58440a5ecb761d29c6bd439e4 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 11 Sep 2024 17:25:45 +0100 Subject: [PATCH 140/153] add defaults to analytics env vars --- django_app/redbox_app/settings.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py index 81ec1d848..42d0eca40 100644 --- a/django_app/redbox_app/settings.py +++ b/django_app/redbox_app/settings.py @@ -382,5 +382,5 @@ LOGIN_URL = "sign-in" REPO_OWNER = env.str("REPO_OWNER", "i-dot-ai") -ANALYTICS_TAG = env.str("ANALYTICS_TAG") -ANALYTICS_LINK = env.str("ANALYTICS_LINK") +ANALYTICS_TAG = env.str("ANALYTICS_TAG", " ") +ANALYTICS_LINK = env.str("ANALYTICS_LINK", " ") From 77caa7ec48b65c8eb6b7904bfbc9d1e890a10876 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Wed, 11 Sep 2024 17:26:05 +0100 Subject: [PATCH 141/153] Unit tests and new coach route --- core-api/core_api/build_chains.py | 124 ++++++++++++++++++++++----- core-api/core_api/semantic_routes.py | 15 +++- core-api/tests/routes/test_chat.py | 66 +++++++++++--- core-api/tests/test_runnables.py | 64 +++++++++++--- 4 files changed, 221 insertions(+), 48 deletions(-) diff --git a/core-api/core_api/build_chains.py b/core-api/core_api/build_chains.py index f12b19af3..627420d23 100644 --- a/core-api/core_api/build_chains.py +++ b/core-api/core_api/build_chains.py @@ -3,22 +3,31 @@ from operator import itemgetter from typing import Annotated -from core_api import dependencies from fastapi import Depends from langchain.prompts import PromptTemplate from langchain.schema import StrOutputParser from langchain_community.chat_models import ChatLiteLLM from langchain_core.prompts import ChatPromptTemplate from langchain_core.retrievers import BaseRetriever -from langchain_core.runnables import Runnable, RunnableLambda, RunnablePassthrough, chain +from langchain_core.runnables import ( + Runnable, + RunnableLambda, + RunnablePassthrough, + chain, +) from langchain_core.runnables.config import RunnableConfig from langchain_core.vectorstores import VectorStoreRetriever -from tiktoken import Encoding - from redbox.api.format import format_documents -from redbox.api.runnables import filter_by_elbow, make_chat_prompt_from_messages_runnable, resize_documents +from redbox.api.runnables import ( + filter_by_elbow, + make_chat_prompt_from_messages_runnable, + resize_documents, +) from redbox.models import ChatRoute, Settings from redbox.models.errors import NoDocumentSelected +from tiktoken import Encoding + +from core_api import dependencies # === Logging === @@ -46,9 +55,44 @@ def build_chat_chain( ) +def build_coach_chain( + llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], + tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], + env: Annotated[Settings, Depends(dependencies.get_env)], +) -> Runnable: + coach_prompt = ( + "You are an AI assistant called Redbox tasked with analysing a users chat history and helps a user improve their prompts." + "Your goal is to provide guidance on how the user could improve their prompts. Do not improve their prompts only provide advice and examples." + "Please follow these guidelines while giving advice to the user: \n" + "1) Quote the prompt which you are suggesting to the user can improve on,\n" + "2) Use a specific example of a users prompt when generating advice,\n" + "3) Avoid repetition,\n" + "4) Ensure the advice is easy to understand,\n" + "5) Maintain the original context and meaning,\n" + "6) Only generate advice for a single prompt at a time,\n" # part 2 + "7) If advice for a prompt has previously been generated do not generate advice on that prompt,\n" # part 2 + "8) Give an example prompt the user can use at the end of the advice.\n" # part 2 + ) + return ( + make_chat_prompt_from_messages_runnable( + system_prompt=coach_prompt, + question_prompt="How can I improve one of my previous prompts?\n=========\n Response:", + input_token_budget=env.ai.context_window_size - env.llm_max_tokens, + tokeniser=tokeniser, + ) + | llm + | { + "response": StrOutputParser(), + "route_name": RunnableLambda(lambda _: ChatRoute.coach.value), + } + ) + + def build_chat_with_docs_chain( llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], - all_chunks_retriever: Annotated[BaseRetriever, Depends(dependencies.get_all_chunks_retriever)], + all_chunks_retriever: Annotated[ + BaseRetriever, Depends(dependencies.get_all_chunks_retriever) + ], tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], env: Annotated[Settings, Depends(dependencies.get_env)], ) -> Runnable: @@ -60,7 +104,9 @@ def map_operation(input_dict): system_map_prompt = env.ai.map_system_prompt prompt_template = PromptTemplate.from_template(env.ai.map_question_prompt) - formatted_map_question_prompt = prompt_template.format(question=input_dict["question"]) + formatted_map_question_prompt = prompt_template.format( + question=input_dict["question"] + ) map_prompt = ChatPromptTemplate.from_messages( [ @@ -85,7 +131,9 @@ def chat_with_docs_route(input_dict: dict): log.info("Length documents: %s", len(input_dict["documents"])) if len(input_dict["documents"]) == 1: return RunnablePassthrough.assign( - formatted_documents=(RunnablePassthrough() | itemgetter("documents") | format_documents) + formatted_documents=( + RunnablePassthrough() | itemgetter("documents") | format_documents + ) ) | { "response": make_chat_prompt_from_messages_runnable( system_prompt=env.ai.chat_with_docs_system_prompt, @@ -102,37 +150,51 @@ def chat_with_docs_route(input_dict: dict): return ( map_operation | RunnablePassthrough.assign( - formatted_documents=(RunnablePassthrough() | itemgetter("documents") | format_documents) + formatted_documents=( + RunnablePassthrough() + | itemgetter("documents") + | format_documents + ) ) | { "response": make_chat_prompt_from_messages_runnable( system_prompt=env.ai.chat_with_docs_reduce_system_prompt, question_prompt=env.ai.chat_with_docs_reduce_question_prompt, - input_token_budget=env.ai.context_window_size - env.llm_max_tokens, + input_token_budget=env.ai.context_window_size + - env.llm_max_tokens, tokeniser=tokeniser, ) | llm | StrOutputParser(), - "route_name": RunnableLambda(lambda _: ChatRoute.chat_with_docs.value), + "route_name": RunnableLambda( + lambda _: ChatRoute.chat_with_docs.value + ), } ) else: raise NoDocumentSelected - return RunnablePassthrough.assign(documents=make_document_context()) | chat_with_docs_route + return ( + RunnablePassthrough.assign(documents=make_document_context()) + | chat_with_docs_route + ) def build_retrieval_chain( llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], - retriever: Annotated[VectorStoreRetriever, Depends(dependencies.get_parameterised_retriever)], + retriever: Annotated[ + VectorStoreRetriever, Depends(dependencies.get_parameterised_retriever) + ], tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], env: Annotated[Settings, Depends(dependencies.get_env)], ) -> Runnable: return ( RunnablePassthrough.assign(documents=retriever) | RunnablePassthrough.assign( - formatted_documents=(RunnablePassthrough() | itemgetter("documents") | format_documents) + formatted_documents=( + RunnablePassthrough() | itemgetter("documents") | format_documents + ) ) | { "response": make_chat_prompt_from_messages_runnable( @@ -151,7 +213,9 @@ def build_retrieval_chain( def build_condense_retrieval_chain( llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], - retriever: Annotated[VectorStoreRetriever, Depends(dependencies.get_parameterised_retriever)], + retriever: Annotated[ + VectorStoreRetriever, Depends(dependencies.get_parameterised_retriever) + ], tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], env: Annotated[Settings, Depends(dependencies.get_env)], ) -> Runnable: @@ -172,9 +236,13 @@ def route(input_dict: dict): return ( RunnableLambda(route) - | RunnablePassthrough.assign(documents=retriever | filter_by_elbow(enabled=env.ai.elbow_filter_enabled)) | RunnablePassthrough.assign( - formatted_documents=(RunnablePassthrough() | itemgetter("documents") | format_documents) + documents=retriever | filter_by_elbow(enabled=env.ai.elbow_filter_enabled) + ) + | RunnablePassthrough.assign( + formatted_documents=( + RunnablePassthrough() | itemgetter("documents") | format_documents + ) ) | { "response": make_chat_prompt_from_messages_runnable( @@ -193,7 +261,9 @@ def route(input_dict: dict): def build_summary_chain( llm: Annotated[ChatLiteLLM, Depends(dependencies.get_llm)], - all_chunks_retriever: Annotated[BaseRetriever, Depends(dependencies.get_all_chunks_retriever)], + all_chunks_retriever: Annotated[ + BaseRetriever, Depends(dependencies.get_all_chunks_retriever) + ], tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], env: Annotated[Settings, Depends(dependencies.get_env)], ) -> Runnable: @@ -224,7 +294,9 @@ def map_operation(input_dict): system_map_prompt = env.ai.map_system_prompt prompt_template = PromptTemplate.from_template(env.ai.map_question_prompt) - formatted_map_question_prompt = prompt_template.format(question=input_dict["question"]) + formatted_map_question_prompt = prompt_template.format( + question=input_dict["question"] + ) map_prompt = ChatPromptTemplate.from_messages( [ @@ -255,7 +327,9 @@ def map_operation(input_dict): | llm | { "response": StrOutputParser(), - "route_name": RunnableLambda(lambda _: ChatRoute.map_reduce_summarise.value), + "route_name": RunnableLambda( + lambda _: ChatRoute.map_reduce_summarise.value + ), } ) @@ -270,12 +344,18 @@ def summarisation_route(input_dict): else: raise NoDocumentSelected - return RunnablePassthrough.assign(documents=make_document_context()) | summarisation_route + return ( + RunnablePassthrough.assign(documents=make_document_context()) + | summarisation_route + ) def build_static_response_chain(prompt_template, route_name) -> Runnable: return RunnablePassthrough.assign( - response=(ChatPromptTemplate.from_template(prompt_template) | RunnableLambda(lambda p: p.messages[0].content)), + response=( + ChatPromptTemplate.from_template(prompt_template) + | RunnableLambda(lambda p: p.messages[0].content) + ), source_documents=RunnableLambda(lambda _: []), route_name=RunnableLambda(lambda _: route_name.value), ) diff --git a/core-api/core_api/semantic_routes.py b/core-api/core_api/semantic_routes.py index 5f221c640..98504379e 100644 --- a/core-api/core_api/semantic_routes.py +++ b/core-api/core_api/semantic_routes.py @@ -3,14 +3,14 @@ from core_api.build_chains import ( build_chat_chain, build_chat_with_docs_chain, + build_coach_chain, build_condense_retrieval_chain, build_static_response_chain, ) from fastapi import Depends from langchain_core.runnables import Runnable - -from redbox.models.chat import ChatRoute from redbox.models.chain import ChainInput +from redbox.models.chat import ChatRoute # === Pre-canned responses for non-LLM routes === INFO_RESPONSE = """ @@ -34,6 +34,7 @@ def get_routable_chains( condense_chain: Annotated[Runnable, Depends(build_condense_retrieval_chain)], chat_chain: Annotated[Runnable, Depends(build_chat_chain)], chat_with_docs_chain: Annotated[Runnable, Depends(build_chat_with_docs_chain)], + coach_chain: Annotated[Runnable, Depends(build_coach_chain)], ) -> dict[str, tuple[Runnable, str]]: global __routable_chains # noqa: PLW0603 if not __routable_chains: @@ -58,6 +59,14 @@ def get_routable_chains( condense_chain, "Search for an answer to a question in provided documents", ), + ( + ChatRoute.coach, + coach_chain, + "Check the chat history for any imporvement recommendations", + ), ) - __routable_chains = {name: (runnable, description) for (name, runnable, description) in chat_tools} + __routable_chains = { + name: (runnable, description) + for (name, runnable, description) in chat_tools + } return __routable_chains diff --git a/core-api/tests/routes/test_chat.py b/core-api/tests/routes/test_chat.py index 362f424ae..331a161a6 100644 --- a/core-api/tests/routes/test_chat.py +++ b/core-api/tests/routes/test_chat.py @@ -1,11 +1,10 @@ import json +from math import exp from types import SimpleNamespace from typing import TYPE_CHECKING from unittest.mock import AsyncMock, MagicMock -from math import exp import pytest -from core_api import dependencies, semantic_routes from core_api.app import app as application from core_api.routes.chat import chat_app from fastapi.testclient import TestClient @@ -15,10 +14,11 @@ from langchain_core.prompt_values import ChatPromptValue from langchain_core.runnables import Runnable, RunnableLambda from langchain_core.runnables.schema import StreamEvent -from starlette.websockets import WebSocketDisconnect - from redbox.models.chat import ChatResponse, ChatRoute from redbox.models.file import ChunkMetadata +from starlette.websockets import WebSocketDisconnect + +from core_api import dependencies, semantic_routes if TYPE_CHECKING: from collections.abc import Iterable @@ -29,7 +29,7 @@ RAG_LLM_RESPONSE = "Based on your documents the answer to your question is 7" UPLOADED_FILE_UUID = "9aa1aa15-dde0-471f-ab27-fd410612025b" -EXPECTED_AVAILABLE_ROUTES = ("chat", "search", "info") +EXPECTED_AVAILABLE_ROUTES = ("chat", "search", "info", "coach") def mock_chat_prompt(): @@ -93,10 +93,14 @@ def mock_all_chunks_retriever(alice): @pytest.fixture(scope="session") def mock_client(alice): - chat_app.dependency_overrides[dependencies.get_llm] = mock_get_llm([RAG_LLM_RESPONSE] * 32) - chat_app.dependency_overrides[dependencies.get_all_chunks_retriever] = lambda: mock_all_chunks_retriever(alice) - chat_app.dependency_overrides[dependencies.get_parameterised_retriever] = lambda: mock_parameterised_retriever( - alice + chat_app.dependency_overrides[dependencies.get_llm] = mock_get_llm( + [RAG_LLM_RESPONSE] * 32 + ) + chat_app.dependency_overrides[dependencies.get_all_chunks_retriever] = ( + lambda: mock_all_chunks_retriever(alice) + ) + chat_app.dependency_overrides[dependencies.get_parameterised_retriever] = ( + lambda: mock_parameterised_retriever(alice) ) yield TestClient(application) chat_app.dependency_overrides = {} @@ -122,7 +126,9 @@ def mock_streaming_client(): astream_events = MagicMock(name="astream_events", return_value=event_iterable) retrieval_chain = AsyncMock(spec=Runnable, name="retrieval_chain") retrieval_chain.astream_events = astream_events - chat_app.dependency_overrides[semantic_routes.get_routable_chains] = lambda: {"retrieval": retrieval_chain} + chat_app.dependency_overrides[semantic_routes.get_routable_chains] = lambda: { + "retrieval": retrieval_chain + } yield TestClient(application) chat_app.dependency_overrides = {} @@ -132,7 +138,9 @@ def test_rag(mock_client, headers): "/chat/rag", headers=headers, json={ - "message_history": [{"text": "Who put the ram in the rama lama ding dong?", "role": "user"}], + "message_history": [ + {"text": "Who put the ram in the rama lama ding dong?", "role": "user"} + ], "selected_files": [{"uuid": UPLOADED_FILE_UUID}], }, ) @@ -144,6 +152,32 @@ def test_rag(mock_client, headers): ), f"Expected route [{ChatRoute.chat_with_docs}] received [{chat_response.route_name}]" +def test_coach(mock_client, headers): + + message_history = [ + {"text": "What can I do for you?", "role": "system"}, + {"text": "Who put the ram in the rama lama ding dong?", "role": "user"}, + {"text": "The lama put the ram in rama", "role": "ai"}, + {"text": "@coach", "role": "user"}, + ] + selected_files = [{"uuid": UPLOADED_FILE_UUID}] + + response = mock_client.post( + "/chat/rag", + headers=headers, + json={ + "message_history": message_history, + "selected_files": selected_files, + }, + ) + assert response.status_code == 200, response.text + chat_response = ChatResponse.model_validate(response.json()) + assert chat_response.output_text == RAG_LLM_RESPONSE + assert ( + chat_response.route_name == ChatRoute.coach + ), f"Expected route [{ChatRoute.coach}] received [{chat_response.route_name}]" + + @pytest.mark.parametrize(("keyword"), EXPECTED_AVAILABLE_ROUTES) def test_keywords(mock_client, headers, keyword): """Given a history that should summarise, force retrieval.""" @@ -174,7 +208,11 @@ def test_rag_chat_streamed(mock_client, headers): with mock_client.websocket_connect("/chat/rag", headers=headers) as websocket: # When - websocket.send_text(json.dumps({"message_history": message_history, "selected_files": selected_files})) + websocket.send_text( + json.dumps( + {"message_history": message_history, "selected_files": selected_files} + ) + ) all_text, docs, route_name = [], [], "" while True: @@ -200,7 +238,9 @@ def test_available_tools(mock_client, headers): assert response.status_code == 200 tool_definitions = response.json() assert len(tool_definitions) > 0 - assert set(EXPECTED_AVAILABLE_ROUTES).issubset({item["name"] for item in tool_definitions}) + assert set(EXPECTED_AVAILABLE_ROUTES).issubset( + {item["name"] for item in tool_definitions} + ) for tool_definition in tool_definitions: assert "name" in tool_definition assert "description" in tool_definition diff --git a/core-api/tests/test_runnables.py b/core-api/tests/test_runnables.py index 6e6e3734b..ac2845fd1 100644 --- a/core-api/tests/test_runnables.py +++ b/core-api/tests/test_runnables.py @@ -2,11 +2,11 @@ from core_api.build_chains import ( build_chat_chain, build_chat_with_docs_chain, + build_coach_chain, build_condense_retrieval_chain, build_retrieval_chain, ) from core_api.dependencies import get_parameterised_retriever, get_tokeniser - from redbox.api.runnables import make_chat_prompt_from_messages_runnable from redbox.models.chain import ChainInput from redbox.models.chat import ChatRoute @@ -15,7 +15,9 @@ @pytest.fixture(scope="module", autouse=True) def mock_embeddings(session_mocker, embedding_model): - session_mocker.patch("core_api.dependencies.get_embedding_model", return_value=embedding_model) + session_mocker.patch( + "core_api.dependencies.get_embedding_model", return_value=embedding_model + ) return embedding_model @@ -54,7 +56,12 @@ def test_make_chat_prompt_from_messages_runnable(mock_llm): input={ "question": "Lorem ipsum dolor sit amet.", "chat_history": [ - {"text": str(i), "role": "user"} if i % 2 == 0 else {"text": str(i), "role": "ai"} for i in range(100) + ( + {"text": str(i), "role": "user"} + if i % 2 == 0 + else {"text": str(i), "role": "ai"} + ) + for i in range(100) ], } ) @@ -67,7 +74,9 @@ def test_rag_runnable(mock_llm, chunked_file, env): env=env, ) - chain = build_retrieval_chain(llm=mock_llm, retriever=retriever, tokeniser=get_tokeniser(), env=env) + chain = build_retrieval_chain( + llm=mock_llm, retriever=retriever, tokeniser=get_tokeniser(), env=env + ) previous_history = [ {"text": "Lorem ipsum dolor sit amet.", "role": "user"}, @@ -85,13 +94,39 @@ def test_rag_runnable(mock_llm, chunked_file, env): ) assert response["response"] == "<>" - assert {str(chunked_file.uuid)} == {chunk.metadata["parent_file_uuid"] for chunk in response["source_documents"]} + assert {str(chunked_file.uuid)} == { + chunk.metadata["parent_file_uuid"] for chunk in response["source_documents"] + } + + +def test_coach_runnable(mock_llm, chunked_file, env): + chain = build_coach_chain(llm=mock_llm, tokeniser=get_tokeniser(), env=env) + + previous_history = [ + {"text": "Lorem ipsum dolor sit amet.", "role": "user"}, + {"text": "Consectetur adipiscing elit.", "role": "ai"}, + {"text": "Donec cursus nunc tortor.", "role": "user"}, + ] + + response = chain.invoke( + input=ChainInput( + question="@coach", + chat_history=previous_history, + file_uuids=[str(chunked_file.uuid)], + user_uuid=str(chunked_file.creator_user_uuid), + ).dict() + ) + + assert response["response"] == "<>" + assert response["route_name"] == ChatRoute.coach def test_condense_runnable(mock_llm, chunked_file, env): retriever = get_parameterised_retriever(env=env) - chain = build_condense_retrieval_chain(llm=mock_llm, retriever=retriever, tokeniser=get_tokeniser(), env=env) + chain = build_condense_retrieval_chain( + llm=mock_llm, retriever=retriever, tokeniser=get_tokeniser(), env=env + ) previous_history = [ {"text": "Lorem ipsum dolor sit amet.", "role": "user"}, @@ -109,10 +144,14 @@ def test_condense_runnable(mock_llm, chunked_file, env): ) assert response["response"] == "<>" assert response["route_name"].startswith("search") - all_results_file_uuids = {chunk.metadata["parent_file_uuid"] for chunk in response["source_documents"]} + all_results_file_uuids = { + chunk.metadata["parent_file_uuid"] for chunk in response["source_documents"] + } assert { str(chunked_file.uuid) - } == all_results_file_uuids, f"Expected {str(chunked_file.uuid)} in {all_results_file_uuids}" + } == all_results_file_uuids, ( + f"Expected {str(chunked_file.uuid)} in {all_results_file_uuids}" + ) def test_chat_runnable(mock_llm, chunked_file, env): @@ -137,9 +176,14 @@ def test_chat_runnable(mock_llm, chunked_file, env): assert response["route_name"] == ChatRoute.chat -def test_chat_with_documents_runnable(all_chunks_retriever, mock_llm, chunked_file, env): +def test_chat_with_documents_runnable( + all_chunks_retriever, mock_llm, chunked_file, env +): chain = build_chat_with_docs_chain( - llm=mock_llm, all_chunks_retriever=all_chunks_retriever, tokeniser=get_tokeniser(), env=env + llm=mock_llm, + all_chunks_retriever=all_chunks_retriever, + tokeniser=get_tokeniser(), + env=env, ) previous_history = [ From 41c429de9b9e30de8554625fc19b91b307c6269f Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Thu, 12 Sep 2024 15:08:14 +0100 Subject: [PATCH 142/153] fix read me instructions --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index cd62c4f0f..8a2d6faf4 100644 --- a/README.md +++ b/README.md @@ -201,8 +201,8 @@ Local set up for DBT ``` cp .env.uktrade .env -docker-compose build -docker-compose up -d -docker-compose exec django-app bash -venv/bin/django-admin manage.py createsuperuser +docker compose build +docker compose up -d +docker compose exec django-app bash +venv/bin/django-admin createsuperuser ``` From 3763fc3b52af95e52c50e0b29bd4f5031acc6eed Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Thu, 12 Sep 2024 15:08:58 +0100 Subject: [PATCH 143/153] format output, improved guidance lines and question pass through --- core-api/core_api/build_chains.py | 24 +++++++++++++----------- 1 file changed, 13 insertions(+), 11 deletions(-) diff --git a/core-api/core_api/build_chains.py b/core-api/core_api/build_chains.py index 627420d23..229d42293 100644 --- a/core-api/core_api/build_chains.py +++ b/core-api/core_api/build_chains.py @@ -61,22 +61,24 @@ def build_coach_chain( env: Annotated[Settings, Depends(dependencies.get_env)], ) -> Runnable: coach_prompt = ( - "You are an AI assistant called Redbox tasked with analysing a users chat history and helps a user improve their prompts." - "Your goal is to provide guidance on how the user could improve their prompts. Do not improve their prompts only provide advice and examples." + "You are an AI assistant called Redbox tasked with analysing a users chat history and to improve the users prompts." + "Your goal is to provide guidance on how the user could improve their prompts in the chat history." "Please follow these guidelines while giving advice to the user: \n" - "1) Quote the prompt which you are suggesting to the user can improve on,\n" - "2) Use a specific example of a users prompt when generating advice,\n" - "3) Avoid repetition,\n" - "4) Ensure the advice is easy to understand,\n" - "5) Maintain the original context and meaning,\n" - "6) Only generate advice for a single prompt at a time,\n" # part 2 - "7) If advice for a prompt has previously been generated do not generate advice on that prompt,\n" # part 2 - "8) Give an example prompt the user can use at the end of the advice.\n" # part 2 + "1) Avoid repetition,\n" + "2) Ensure the advice is easy to understand,\n" + "3) Maintain the original context and meaning,\n" + "4) Only generate advice for a single prompt at a time,\n" + "5) If a user hasn't specific a prompt, produce advice for any of the users prompts,\n" + "6) Do not generate advice for a prompt again unless the user asks for you to generate it for that prompt.\n" + "7) If you don't know any advice which can improve the prompt, just say that you don't know, don't try to make up an answer. \n" + "Please follow respond with the following structure: \n" + "Quote the prompt you are suggesting to improve," + "Advice in bullet points, an exlpantation and then an example of a prompt the user can use.\n" ) return ( make_chat_prompt_from_messages_runnable( system_prompt=coach_prompt, - question_prompt="How can I improve one of my previous prompts?\n=========\n Response:", + question_prompt=env.ai.chat_question_prompt, # "How can I improve one of my previous prompts?\n=========\n Response:", # , input_token_budget=env.ai.context_window_size - env.llm_max_tokens, tokeniser=tokeniser, ) From 3cb906ef56e0675755982be0c0adcc317ec59191 Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Thu, 12 Sep 2024 17:19:39 +0100 Subject: [PATCH 144/153] embedded faq advice, example response, and clear goal --- core-api/core_api/build_chains.py | 92 ++++++++++++++++++++++++++----- 1 file changed, 79 insertions(+), 13 deletions(-) diff --git a/core-api/core_api/build_chains.py b/core-api/core_api/build_chains.py index 229d42293..3aba577cd 100644 --- a/core-api/core_api/build_chains.py +++ b/core-api/core_api/build_chains.py @@ -61,20 +61,86 @@ def build_coach_chain( env: Annotated[Settings, Depends(dependencies.get_env)], ) -> Runnable: coach_prompt = ( - "You are an AI assistant called Redbox tasked with analysing a users chat history and to improve the users prompts." - "Your goal is to provide guidance on how the user could improve their prompts in the chat history." - "Please follow these guidelines while giving advice to the user: \n" - "1) Avoid repetition,\n" - "2) Ensure the advice is easy to understand,\n" - "3) Maintain the original context and meaning,\n" - "4) Only generate advice for a single prompt at a time,\n" - "5) If a user hasn't specific a prompt, produce advice for any of the users prompts,\n" - "6) Do not generate advice for a prompt again unless the user asks for you to generate it for that prompt.\n" - "7) If you don't know any advice which can improve the prompt, just say that you don't know, don't try to make up an answer. \n" - "Please follow respond with the following structure: \n" - "Quote the prompt you are suggesting to improve," - "Advice in bullet points, an exlpantation and then an example of a prompt the user can use.\n" + # "You are an AI assistant called Redbox tasked with analysing a users chat history and to improve the users prompts." + "You are the '@coach' assistant for Redbox users, providing helpful feedback to improve the quality of their prompts." + # "Your goal is to provide guidance on how the user could improve their prompts in the chat history." + "When a user uses the @coach keyword," + "you should analyze the chat history to identify why their prompt(s) may not have achieved the desired result." + "Your goal is to:\n" + "1. **Identify issues** with the original prompt. For example: lack of clarity, insufficient context, " + "overly broad or narrow focus, poorly used keyword route (@chat, @summarise, @search).\n" + "2. **Offer specific advice** on how the user can improve their prompt (e.g., by providing more context, " + "being clearer with their goals, or breaking down complex tasks).\n" + "3. Offer a suggested alternative prompt, written in a way that solves the identified issues. " + "This suggestion should be in a block quote so users can easily copy and paste it into their chat.\n" + "4. Only provide advice on a maximum of 2 prompts at a time and do not repeat advice for a prompt.\n" + # "Please follow these guidelines while giving advice to the user: \n" + # "- If the user has not mentioned a specific prompt, then generate overall advice for the users prompts." + # "- Be concise and constructive in your feedback. \n" + # "1) Avoid repetition,\n" + # "2) Ensure the advice is easy to understand,\n" + # "3) Maintain the original context and meaning,\n" + # "4) Only generate advice for a single prompt at a time,\n" + # "5) If a user hasn't specific a prompt, produce advice for any of the users prompts,\n" + # "6) Do not generate advice for a prompt again unless the user asks for you to generate it for that prompt.\n" + # "7) If you don't know any advice which can improve the prompt, just say that you don't know, don't try to make up an answer. \n" + "**Embedded Guidance** (use this when providing feedback):" + "- Encourage users to be clear, specific, and concise in their instructions. " + "Suggest including context (including about your task and function/profession-specific terminology) " + "or examples where necessary but avoid overly constraining the model.\n" + "- Remind users of what Redbox can do. \n" # TODO add this context + "- Advise users of better keyword routes for their prompts, if the appropriate keyword route was not used.\n" # TODO improve + "- Remind users that perfect grammar is not required, but clarity is key.\n" + "- Advise breaking down complex tasks into manageable steps." + "- For fact-based requests, suggest the user ask for specific details or verification of information." + "- Encourage iterative prompting—if the first result isn’t right, refine the question and try again." + "- Advise on specific criteria that can improve a prompt for the used specific keyword route chat, summarise or search." # TODO imporve + "- Advise the user that they can also request to express the search results confidence level and explain the reasoning " + "for the result. When using the search keyword.\n" + "- If the user is trying to compare multiple documents, remind them to clearly outline the criteria for comparision and to " + "ask Redbox to create a structured format (e.g., a table or bullet-point list) to present the comparative analysis." + "- If the user may think that Redbox has output an incorrect response, " + "remind the user that they can ask for Redbox to double-check its work and explain its reasoning. " + "Also remind the user that they can also rephrase the question or " + "provide additional context to see if it leads to a different result and to " + "Always verify important information against original sources." + # "Please follow respond with the following structure: \n" + # "Quote the prompt you are suggesting to improve," + # "Advice in bullet points, an exlpantation and then an example of a prompt the user can use.\n" + "**Format for Response:**\n" + "**Orgininal Prompt:** Quote the orgininal prompt, if referencing an orginal prompt. Do this for a maximum of two prompts\n" + "1. **Identify the issue:** Briefly describe why the original prompt might not work well,\n" + "2. **Actionable advice:** Suggest concrete improvements,\n" + "3. **Rewritten prompt suggestion:** Provide a better version of the prompt in a block quote format. " + "Remember to include the relevant @ keyword that the user should use." + "**Example Interaction:**\n" + "**User:** '@coach That wasn't specific enough. How do I make it better?' \n" + "**@coach Response:** \n" + "**Orgininal Prompt:**\n [quote of the orignal prompt] \n" + "1. **Issue:** \n The prompt may have been too vague," + "lacking specific details that could guide Redbox in generating a more targeted response.\n" + "2. **Advice:** \n To improve the prompt, try providing additional context about the task, " + "clarifying the type of response you expect, and narrowing down the scope to avoid general answers.\n" + "3. **Suggested Prompt:**\n" + "> 'Please provide a more specific answer by focusing on [insert specific aspect] and " + "explain how it relates to [insert context]. If possible, provide examples to clarify your explanation.\n'" ) + + """ + Response: + + Your Prompt Analysis: + The prompt is too vague and lacks context regarding what specific assistance is required from Redbox. + + Suggestions for Improvement: + Be more specific about the task you want Redbox to help with. Include details relevant to your field or the type of response you need. + + Revised Prompt: + + "Please help me outline the steps required to effectively analyze this policy document, focusing specifically on its economic implications." + + """ + return ( make_chat_prompt_from_messages_runnable( system_prompt=coach_prompt, From dea8f056fd7aaaa064b6cd8cab302c833ffbc4ad Mon Sep 17 00:00:00 2001 From: Anthoni Gleeson Date: Tue, 17 Sep 2024 10:09:58 +0100 Subject: [PATCH 145/153] new iteration of sys prompt and move prompt to settings --- core-api/core_api/build_chains.py | 84 +-------------------------- redbox-core/redbox/models/settings.py | 51 ++++++++++++++++ 2 files changed, 53 insertions(+), 82 deletions(-) diff --git a/core-api/core_api/build_chains.py b/core-api/core_api/build_chains.py index 3aba577cd..0f16fd5f3 100644 --- a/core-api/core_api/build_chains.py +++ b/core-api/core_api/build_chains.py @@ -60,91 +60,11 @@ def build_coach_chain( tokeniser: Annotated[Encoding, Depends(dependencies.get_tokeniser)], env: Annotated[Settings, Depends(dependencies.get_env)], ) -> Runnable: - coach_prompt = ( - # "You are an AI assistant called Redbox tasked with analysing a users chat history and to improve the users prompts." - "You are the '@coach' assistant for Redbox users, providing helpful feedback to improve the quality of their prompts." - # "Your goal is to provide guidance on how the user could improve their prompts in the chat history." - "When a user uses the @coach keyword," - "you should analyze the chat history to identify why their prompt(s) may not have achieved the desired result." - "Your goal is to:\n" - "1. **Identify issues** with the original prompt. For example: lack of clarity, insufficient context, " - "overly broad or narrow focus, poorly used keyword route (@chat, @summarise, @search).\n" - "2. **Offer specific advice** on how the user can improve their prompt (e.g., by providing more context, " - "being clearer with their goals, or breaking down complex tasks).\n" - "3. Offer a suggested alternative prompt, written in a way that solves the identified issues. " - "This suggestion should be in a block quote so users can easily copy and paste it into their chat.\n" - "4. Only provide advice on a maximum of 2 prompts at a time and do not repeat advice for a prompt.\n" - # "Please follow these guidelines while giving advice to the user: \n" - # "- If the user has not mentioned a specific prompt, then generate overall advice for the users prompts." - # "- Be concise and constructive in your feedback. \n" - # "1) Avoid repetition,\n" - # "2) Ensure the advice is easy to understand,\n" - # "3) Maintain the original context and meaning,\n" - # "4) Only generate advice for a single prompt at a time,\n" - # "5) If a user hasn't specific a prompt, produce advice for any of the users prompts,\n" - # "6) Do not generate advice for a prompt again unless the user asks for you to generate it for that prompt.\n" - # "7) If you don't know any advice which can improve the prompt, just say that you don't know, don't try to make up an answer. \n" - "**Embedded Guidance** (use this when providing feedback):" - "- Encourage users to be clear, specific, and concise in their instructions. " - "Suggest including context (including about your task and function/profession-specific terminology) " - "or examples where necessary but avoid overly constraining the model.\n" - "- Remind users of what Redbox can do. \n" # TODO add this context - "- Advise users of better keyword routes for their prompts, if the appropriate keyword route was not used.\n" # TODO improve - "- Remind users that perfect grammar is not required, but clarity is key.\n" - "- Advise breaking down complex tasks into manageable steps." - "- For fact-based requests, suggest the user ask for specific details or verification of information." - "- Encourage iterative prompting—if the first result isn’t right, refine the question and try again." - "- Advise on specific criteria that can improve a prompt for the used specific keyword route chat, summarise or search." # TODO imporve - "- Advise the user that they can also request to express the search results confidence level and explain the reasoning " - "for the result. When using the search keyword.\n" - "- If the user is trying to compare multiple documents, remind them to clearly outline the criteria for comparision and to " - "ask Redbox to create a structured format (e.g., a table or bullet-point list) to present the comparative analysis." - "- If the user may think that Redbox has output an incorrect response, " - "remind the user that they can ask for Redbox to double-check its work and explain its reasoning. " - "Also remind the user that they can also rephrase the question or " - "provide additional context to see if it leads to a different result and to " - "Always verify important information against original sources." - # "Please follow respond with the following structure: \n" - # "Quote the prompt you are suggesting to improve," - # "Advice in bullet points, an exlpantation and then an example of a prompt the user can use.\n" - "**Format for Response:**\n" - "**Orgininal Prompt:** Quote the orgininal prompt, if referencing an orginal prompt. Do this for a maximum of two prompts\n" - "1. **Identify the issue:** Briefly describe why the original prompt might not work well,\n" - "2. **Actionable advice:** Suggest concrete improvements,\n" - "3. **Rewritten prompt suggestion:** Provide a better version of the prompt in a block quote format. " - "Remember to include the relevant @ keyword that the user should use." - "**Example Interaction:**\n" - "**User:** '@coach That wasn't specific enough. How do I make it better?' \n" - "**@coach Response:** \n" - "**Orgininal Prompt:**\n [quote of the orignal prompt] \n" - "1. **Issue:** \n The prompt may have been too vague," - "lacking specific details that could guide Redbox in generating a more targeted response.\n" - "2. **Advice:** \n To improve the prompt, try providing additional context about the task, " - "clarifying the type of response you expect, and narrowing down the scope to avoid general answers.\n" - "3. **Suggested Prompt:**\n" - "> 'Please provide a more specific answer by focusing on [insert specific aspect] and " - "explain how it relates to [insert context]. If possible, provide examples to clarify your explanation.\n'" - ) - - """ - Response: - - Your Prompt Analysis: - The prompt is too vague and lacks context regarding what specific assistance is required from Redbox. - - Suggestions for Improvement: - Be more specific about the task you want Redbox to help with. Include details relevant to your field or the type of response you need. - - Revised Prompt: - - "Please help me outline the steps required to effectively analyze this policy document, focusing specifically on its economic implications." - - """ return ( make_chat_prompt_from_messages_runnable( - system_prompt=coach_prompt, - question_prompt=env.ai.chat_question_prompt, # "How can I improve one of my previous prompts?\n=========\n Response:", # , + system_prompt=env.ai.coach_system_prompt, + question_prompt=env.ai.chat_question_prompt, input_token_budget=env.ai.context_window_size - env.llm_max_tokens, tokeniser=tokeniser, ) diff --git a/redbox-core/redbox/models/settings.py b/redbox-core/redbox/models/settings.py index 0fe176245..1b043b59f 100644 --- a/redbox-core/redbox/models/settings.py +++ b/redbox-core/redbox/models/settings.py @@ -25,6 +25,56 @@ "4) Maintain the original context and meaning.\n" ) +COACH_SYSTEM_PROMPT = ( + "You are part of Redbox, an advanced language model service created to support UK government civil servants " + "in their daily knowledge work. Redbox features three primary routes:\n" + "@summarise: This route helps users distill large amounts of text into concise summaries. " + "Users can enhance their results by providing context for specific summarization needs.\n" + "@search: A route that assists users in finding semantically related content across documents. " + "Crafting effective search queries is crucial, as users may need guidance on how to frame their searches effectively.\n" + "@chat: This direct route allows users to interact casually with the LLM, " + "facilitating conversational exchanges based on the user's context.\n" + "In this capacity, you function as a new route: @coach. Your role involves analyzing chat transcripts provided " + "by users and offering constructive guidance on how they can better utilize the three core routes described above." + "Your advising style should remain friendly and approachable. Aim for a maximum of three pieces of advice. " + "If you can’t generate at least one actionable suggestion, feel free to say, " + "“Sorry, I have no advice for you at the moment.”\n" + "Your objectives include:\n" + "1) Identifying issues within user prompts, such as a lack of clarity, insufficient context, " + "or the improper use of core routes.\n" + "2) Offering specific guidance for improvement, emphasizing clarity and focus to strengthen user prompts.\n" + "3) Providing actionable suggestions that address the noted issues, without generating sample prompts for users to replicate.\n" + "---\n" + "Embedded Guidance:\n" + "- Emphasize clarity, specificity, and brevity in user instructions.\n" + "- Recommend including relevant context or examples when necessary, balancing detail with flexibility.\n" + "- Suggest alternative, more suitable routes if the user has chosen the wrong one.\n" + "- Clarify that perfection in grammar is unnecessary; the focus should be on clear communication.\n" + "- Encourage simplifying complex queries into manageable components.\n" + "- For queries seeking factual information, prompt users to ask for verification or specifics.\n" + "- Foster an environment of iterative questioning to refine the results based on responses.\n" + "- Remind users they can request explanations for the confidence levels and reasoning behind the search results.\n" + "- When comparing documents, stress the importance of specifying criteria and suggest organizing output in structured formats.\n" + "- If users feel outputs are incorrect, encourage them to rephrase questions or add context, " + "and remind them to verify important information against original sources.\n" + "---\n" + "Example Interactions with Coach Responses:\n" + "Example 1:\n" + "User Input:@summarise\n" + "Coach Response:\n To effectively use @summarise, consider providing specific content or context for summarization. " + "This helps generate a more useful and tailored summary for your needs.\n" + "Example 2:\n" + "User Input:\nsummarise artificial intelligence trends and search for recent articles\n" + "Coach Response:It's great that you're using @summarise and @search! For more accurate results, " + "you might want to use @chat for ongoing dialogue about the trends or specific articles. " + "This can lead to richer insights and better-targeted information.\n" + "Example 3:\n" + "User Input:@summarise latest AI ethics, search new guidelines, and @chat about potential implementation challenges\n" + "Coach Response:\nYou’ve structured your request well by using all three methods; however, to optimize this, " + "consider clearly defining what specific aspects of AI ethics or guidelines you’re curious about. " + "For example, specifying particular ethical concerns can guide a more effective dialogue and yield better results.\n" +) + RETRIEVAL_SYSTEM_PROMPT = ( "Given the following conversation and extracted parts of a long document and a question, create a final answer. \n" "If you don't know the answer, just say that you don't know. Don't try to make up an answer. " @@ -116,6 +166,7 @@ class AISettings(BaseModel): elbow_filter_enabled: bool = False chat_system_prompt: str = CHAT_SYSTEM_PROMPT chat_question_prompt: str = CHAT_QUESTION_PROMPT + coach_system_prompt: str = COACH_SYSTEM_PROMPT stuff_chunk_context_ratio: float = 0.75 chat_with_docs_system_prompt: str = CHAT_WITH_DOCS_SYSTEM_PROMPT chat_with_docs_question_prompt: str = CHAT_WITH_DOCS_QUESTION_PROMPT From 04b9f459db2b20aad1c55ecd6fc3cb321ee2d03a Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Wed, 18 Sep 2024 14:57:05 +0100 Subject: [PATCH 146/153] Adding FAQ page reachable from chats page --- .../redbox_app/redbox_core/views/__init__.py | 3 +- .../redbox_core/views/misc_views.py | 7 + django_app/redbox_app/templates/chats.html | 6 + django_app/redbox_app/templates/faq.html | 155 ++++++++++++++++++ django_app/redbox_app/urls.py | 1 + 5 files changed, 171 insertions(+), 1 deletion(-) create mode 100644 django_app/redbox_app/templates/faq.html diff --git a/django_app/redbox_app/redbox_core/views/__init__.py b/django_app/redbox_app/redbox_core/views/__init__.py index e5748d474..229182461 100644 --- a/django_app/redbox_app/redbox_core/views/__init__.py +++ b/django_app/redbox_app/redbox_core/views/__init__.py @@ -7,7 +7,7 @@ file_status_api_view, remove_doc_view, ) -from redbox_app.redbox_core.views.misc_views import health, homepage_view +from redbox_app.redbox_core.views.misc_views import health, homepage_view, faq_view from redbox_app.redbox_core.views.ratings_views import RatingsView __all__ = [ @@ -24,4 +24,5 @@ "homepage_view", "post_message", "remove_doc_view", + "faq_view", ] diff --git a/django_app/redbox_app/redbox_core/views/misc_views.py b/django_app/redbox_app/redbox_core/views/misc_views.py index fa1d38c9f..b28bdacff 100644 --- a/django_app/redbox_app/redbox_core/views/misc_views.py +++ b/django_app/redbox_app/redbox_core/views/misc_views.py @@ -20,3 +20,10 @@ def homepage_view(request): def health(_request: HttpRequest) -> HttpResponse: """this required by ECS Fargate""" return HttpResponse(status=200) + +def faq_view(request): + return render( + request, + template_name="faq.html", + context={"request": request}, + ) \ No newline at end of file diff --git a/django_app/redbox_app/templates/chats.html b/django_app/redbox_app/templates/chats.html index 4786ccdd9..18d1549a6 100644 --- a/django_app/redbox_app/templates/chats.html +++ b/django_app/redbox_app/templates/chats.html @@ -23,6 +23,12 @@

        Chats

        New chat +
        + + Advanced Prompt FAQ + +
        +

        Recent chats

        diff --git a/django_app/redbox_app/templates/faq.html b/django_app/redbox_app/templates/faq.html new file mode 100644 index 000000000..a8f5fed26 --- /dev/null +++ b/django_app/redbox_app/templates/faq.html @@ -0,0 +1,155 @@ +{% set pageTitle = "FAQs" %} +{% extends "base.html" %} +{% from "macros/govuk-button.html" import govukButton %} + +{% block content %} + +
        +

        Advanced Prompt FAQs

        +
        +
        +
        +

        + + How can I improve the quality of Redbox's responses? + +

        +
        +
        +

        + Be clear and specific in your instructions. Treat Redbox as a capable but uninformed colleague. Provide context about your task and function/profession-specific terminology. Use examples when helpful, but avoid overly constraining the model. +

        +
        +
        +
        +
        +

        + + Should I use formal language when prompting Redbox? + +

        +
        +
        +

        + While proper grammar isn't strictly necessary, clear communication is key. Focus on conveying your instructions and context accurately rather than worrying about perfect formatting. +

        +
        +
        +
        +
        +

        + + How can I get Redbox to provide more detailed analysis of uploaded documents? + +

        +
        +
        +

        + Ask Redbox to "think step-by-step" or break down its analysis process. You can also request it to consider multiple perspectives or potential implications of the document's content. +

        +
        +
        +
        +
        +

        + + What should I do if Redbox's initial response isn't quite what I need? + +

        +
        +
        +

        + Iterate on your prompt. Ask Redbox to explain its understanding of your request, then clarify or refine your instructions based on its response. Don't hesitate to have a back-and-forth dialogue to hone in on the desired output. +

        +
        +
        +
        +
        +

        + + How can I use Redbox for more complex tasks like policy analysis? + +

        +
        +
        +

        + Break down complex tasks into smaller steps. Ask Redbox to outline a process, then guide it through each step. Provide relevant background information and specify the type of analysis you need (e.g., pros/cons, historical context, potential outcomes). +

        +
        +
        +
        +
        +

        + + Can I use Redbox to help draft prompts for more specialised tasks? + +

        +
        +
        +

        + Yes! Ask Redbox to help you formulate prompts for specific tasks. Describe your goal and any relevant constraints, then ask it to generate a detailed prompt you can refine. +

        +
        +
        +
        +
        +

        + + How can I ensure Redbox's summaries capture the most relevant information? + +

        +
        +
        +

        + Specify your summarisation criteria clearly. For example, "@Summarise this report, focusing on budget implications and policy recommendations. Highlight any areas of uncertainty or debate." +

        +
        +
        +
        +
        +

        + + Are there techniques to improve Redbox's accuracy on factual queries? + +

        +
        +
        +

        + For fact-based questions, ask Redbox to cite specific sections of the uploaded documents by using the @search feature. You can also request it to express its confidence level and explain its reasoning. +

        +
        +
        +
        +
        +

        + + How can I use Redbox more effectively for comparative analysis of multiple documents? + +

        +
        +
        +

        + Clearly outline the criteria for comparison. Ask Redbox to create a structured format (e.g., a table or bullet-point list) to present the comparative analysis, making it easier to spot key differences and similarities. +

        +
        +
        +
        +
        +

        + + What should I do if I suspect Redbox has made a mistake? + +

        +
        +
        +

        + Ask Redbox to double-check its work and explain its reasoning. You can also rephrase your question or provide additional context to see if it leads to a different result. Always verify important information against original sources. +

        +
        +
        +
        +
        + + + +{% endblock %} \ No newline at end of file diff --git a/django_app/redbox_app/urls.py b/django_app/redbox_app/urls.py index 61d49943f..bcf517e69 100644 --- a/django_app/redbox_app/urls.py +++ b/django_app/redbox_app/urls.py @@ -64,6 +64,7 @@ name="check-demographics", ), path("demographics/", views.DemographicsView.as_view(), name="demographics"), + path("faq/", views.faq_view, name="faq"), ] urlpatterns = ( From 2ed920225ef88f642ace1cb444ba29862ce0c4b4 Mon Sep 17 00:00:00 2001 From: Simon Strong Date: Fri, 20 Sep 2024 08:39:40 +0100 Subject: [PATCH 147/153] Updated FAQ homepage and link to advanced FAQs --- django_app/redbox_app/templates/chats.html | 25 +++-- django_app/redbox_app/templates/homepage.html | 97 ++++++++++++++----- 2 files changed, 93 insertions(+), 29 deletions(-) diff --git a/django_app/redbox_app/templates/chats.html b/django_app/redbox_app/templates/chats.html index 18d1549a6..d613c9d32 100644 --- a/django_app/redbox_app/templates/chats.html +++ b/django_app/redbox_app/templates/chats.html @@ -19,16 +19,24 @@

        Chats

        - + New chat -
        - - Advanced Prompt FAQ - -
        -

        Recent chats

        @@ -132,6 +140,9 @@
        +

        + Need help? Read through our Advanced Prompt FAQ section. +

        Redbox can make mistakes. You must check for accuracy before using the output.

        You can use up to, and including, official sensitive documents.

        diff --git a/django_app/redbox_app/templates/homepage.html b/django_app/redbox_app/templates/homepage.html index df88bfe67..5945f1754 100644 --- a/django_app/redbox_app/templates/homepage.html +++ b/django_app/redbox_app/templates/homepage.html @@ -64,7 +64,11 @@

        - I am an AI assistant called Redbox, designed to answer questions and provide information based on a wide range of topics, using objective data and insights. + Redbox is a new kind of tool for civil servants which uses Large Language Models (LLMs) to process text-based information. + Redbox is currently only available to a small number of DBT staff as the department assesses its usefulness. +

        +

        + What makes Redbox particularly useful is that it can look at any documents you upload and work with you on them.

@@ -78,7 +82,9 @@

- I am an AI assistant called Redbox, designed to answer questions and provide information based on a wide range of topics, using objective data and insights. + Generative AI is a fairly new kind of algorithmic machine learning based on 'neural architecture' This architecture allows + machine learning models (called large language models in this case) to be trained on large amounts of information, and then + be able to converse with a user by 'generating' answers to questions or assisting with text-based processing tasks.

@@ -92,7 +98,11 @@

- I am an AI assistant called Redbox, designed to answer questions and provide information based on a wide range of topics, using objective data and insights. + Not at all, the interface for Redbox comprises a document upload feature and a chat feature. No technical skills are required, + but an understanding of what large language models are and what they can do makes an enormous different to users when interacting + with them. The principal skill to use Redbox well comes down to a skill called 'prompt engineering', which is just natural language + you type in and get the tool to respond. There are some great Gov.uk short courses on generative AI you may consider taking: + See the courses here.

@@ -106,7 +116,14 @@

- You can share general questions and topics for information or help. However, you should not share personal, sensitive, or confidential information, including financial details, passwords, or private identifiers, as I am designed to prioritize user privacy and security. + For the moment, you can share text and documents up to the {{ security }} classification level. Take care to check before sharing + text or documents with Redbox that they do not exceed this designation. +

+

+ Alongside this, do not share Personal Data with Redbox, for more information on what constitutes personal data, watch this short + video. If + you are unsure whether you are processing personal data, you should contact the Data Protection Team + to check.

@@ -120,7 +137,9 @@

- In the context of AI, a "hallucination" refers to an instance where a generative model produces information or responses that are plausible-sounding but factually incorrect or entirely fabricated. This phenomenon can occur when the model extrapolates from its training data in ways that lead to inaccuracies. + In the context of LLMs, a hallucination refers to the generation of information that is incorrect, nonsensical, or entirely fabricated, despite + being presented in a credible manner. This can happen when the model produces details, facts, or asserts that are not grounded in reality or the + data it was trained on, potentialliy leading to misinformation or misunderstanding.

@@ -134,8 +153,44 @@

- Redbox can answer questions across a wide range of topics, provide explanations and definitions, assist with problem-solving, generate ideas, and offer insights based on available information. Additionally, it can help users better understand complex subjects and guide them in finding resources or information. + Redbox allows you to chat to a LLM, summarise and interact with documents (up to around 140 pages), and even search within documents. Here are some + helpful insights into those: +

+

Chat

+

+ By using @chat at the beginning of any message you send, you will speak directly with the LLM, gaining access to its 'world model', which is everything + it was trained on. +

+
+

+ Top tip: when you chat with the LLM, all the contents of your current chat are considered by the LLM, and you can switch between chat and other interaction + types (more below) in the same chat. +

+
+

Summarise

+

+ By using @summarise at the beginning of any message you send, and ensuring that a document is selected in the left hand panel, you can get the LLM to + look at an entire document and summarise it for you.

+
+

+ Top tip: like using @chat, using the @summarise feature is very flexible, and you can instruct the LLM to summarise from a particular point of view, or + follow a particular kind of format in its response. Here's an example prompt - imagine you have selected an HR Policy document on taking leave at DBT:

+ @summarise this HR policy from the perspective of a line manager, as my line report has asked to take extended leave and I want to know what steps I need to take.

+ In this example, Redbox will take those instructions into account and generate a response that best fits your requirements. +

+
+

Search

+

+ By using @search at the beginning of any message you send, with any number of documents selected in the side panel, Redbox will search within them + for results that relate to the question or instruction given. +

+
+

+ Top tip: Search is great at finding exact parts of documents which relate to a given theme or topic, and the results will also show you the exact + text it found from the documents os you can be sure of accuracy. +

+
@@ -148,7 +203,16 @@

- Redbox cannot perform tasks that require personal judgment, such as making decisions for individuals, offering medical or legal advice, providing real-time data updates, or processing personal transactions. It is also unable to access external databases or browse the internet for live information beyond its training data. + Redbox is limited to its own training data and document processing, as it cannot currently search the internet, making it inadequate for getting reliable real-time information. +

+

+ Redbox is not well-suited for tasks that involve precise numerical calculations, counting, or data tabulation, such as those often required in spreadsheets or financial analyses. They + may generate incorrect numerical results or misinterpret mathematical expressions, leading to unrealiable outputs. Additionally, Redbox struggles with organising and + manipulating structured data effectively, as it is primarily designed for language generation rather than data processing. +

+

+ This can make Redbox inadequate for tasks requiring accurate data comparison, aggregation, and spreadsheet functions, where human oversight and intervention remain essential + for ensuring accuracy and reliability.

@@ -162,21 +226,10 @@

- Redbox can get things wrong due to limitations in its training data, potential biases in the information it was trained on, and the inherent complexities of language and context. Additionally, the model may misinterpret questions or generate responses that seem plausible but are incorrect, known as "hallucinations." -

-
-
-
-
-

- - How and when does Redbox include sources in its responses? - -

-
-
-

- Redbox does not directly include sources in its responses, as it generates information based on a wide range of training data rather than from specific, citable sources. However, it aims to provide accurate and reliable information based on common knowledge up to its last training cut-off in October 2023. If you require sourcing, it's recommended to verify the information from credible sources independently. + Redbox can get things wrong for several reasons, primarily due to its reliance on patterns found in the training data of the LLM rather than true understanding or + reasoning. Redbox may generate inaccurate information because they lack context awareness, leading to misinterpretations, especially in complex or nuanced scenarios. + Additionally, biases inherent in the LLM training data can result in the propagation of errors, stereotypes, or nonsensical outputs, further compromising the accuracy of Redbox' responses. + For more information, read the FAQ section on 'hallucinations' above.

From e68808c55aa85627169775750a49cd6c9321841a Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Tue, 24 Sep 2024 11:42:00 +0100 Subject: [PATCH 148/153] fix: api keys redacted in logs (#85) --- redbox-core/redbox/api/callbacks.py | 21 ++++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/redbox-core/redbox/api/callbacks.py b/redbox-core/redbox/api/callbacks.py index 3bee54479..087ccbfa2 100644 --- a/redbox-core/redbox/api/callbacks.py +++ b/redbox-core/redbox/api/callbacks.py @@ -9,9 +9,28 @@ class LoggerCallbackHandler(BaseCallbackHandler): def __init__(self, logger: Logger): self.logger: Logger = logger + def redact_secrets(self, data: dict[str, Any]) -> dict[str, Any]: + """Redact sensitive information such as API keys.""" + repr_str = data['repr'] + + start_token = "openai_api_key='" + end_token = "'," + + start_index = repr_str.find(start_token) + len(start_token) + end_index = repr_str.find(end_token, start_index) + + current_openai_api_key = repr_str[start_index:end_index] + + new_repr_str = repr_str.replace(f"openai_api_key='{current_openai_api_key}'", "openai_api_key=''") + + data['repr'] = new_repr_str + + return data + def on_llm_start(self, serialized: dict[str, Any], prompts: list[str], **kwargs: Any) -> None: # noqa:ARG002 """Run when LLM starts running.""" - self.logger.info("LLM start: %s, prompts: %s", serialized, prompts) + redacted_serialized = self.redact_secrets(serialized) + self.logger.info("LLM start: %s, prompts: %s", redacted_serialized, prompts) def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None: # noqa:ARG002 """Run when LLM ends running.""" From 92fdb42722782bbaba9d94739360cbf1413baab1 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Mon, 21 Oct 2024 15:51:46 +0100 Subject: [PATCH 149/153] dev -> main (#106) * fix: include coach in tooltip (#101) * fix: bumping a range of packages to resolve vulnerabiltiies (#102) * Bump starlette from 0.38.1 to 0.40.0 (#103) Bumps [starlette](https://github.com/encode/starlette) from 0.38.1 to 0.40.0. - [Release notes](https://github.com/encode/starlette/releases) - [Changelog](https://github.com/encode/starlette/blob/master/docs/release-notes.md) - [Commits](https://github.com/encode/starlette/compare/0.38.1...0.40.0) --- updated-dependencies: - dependency-name: starlette dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * bump: starlette==0.40.0 fastapi==0.115.2 (#105) * fix: broken docker build (#107) * fix: resolve issues with incompatible faststream version (#108) * fix: resolve issues with incompatible faststream version * performing the same updates for core api module --------- Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- core-api/Dockerfile | 2 +- core-api/poetry.lock | 3430 ++++----- core-api/pyproject.toml | 4 +- django_app/poetry.lock | 8 +- django_app/pyproject.toml | 1 + .../templates/macros/chat-macros.html | 5 +- mlflow/requirements.txt | 4 +- notebooks/poetry.lock | 6609 ++++++++--------- notebooks/pyproject.toml | 4 + poetry.lock | 6584 ++++++++-------- pyproject.toml | 5 +- redbox-core/poetry.lock | 246 +- redbox-core/pyproject.toml | 2 + worker/poetry.lock | 3868 +++++----- worker/pyproject.toml | 5 +- 15 files changed, 10571 insertions(+), 10206 deletions(-) diff --git a/core-api/Dockerfile b/core-api/Dockerfile index d97a1be5d..38590e51d 100644 --- a/core-api/Dockerfile +++ b/core-api/Dockerfile @@ -1,4 +1,4 @@ -FROM python:3.12-bookworm as builder +FROM python:3.12-bookworm AS builder RUN apt-get update && apt-get install --yes build-essential curl > /dev/null diff --git a/core-api/poetry.lock b/core-api/poetry.lock index 8435c957e..a88dd1d3c 100644 --- a/core-api/poetry.lock +++ b/core-api/poetry.lock @@ -1,114 +1,99 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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== \"Linux\" and platform_machine == \"x86_64\""} -setuptools = "*" -sympy = "*" -triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""} +nvidia-cufft-cu12 = {version = "11.2.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-curand-cu12 = {version = "10.3.5.147", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cusolver-cu12 = {version = "11.6.1.9", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-nvtx-cu12 = {version = "12.4.127", 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b/django_app/poetry.lock @@ -3015,13 +3015,13 @@ files = [ [[package]] name = "twisted" -version = "24.7.0" +version = "24.7.0rc1" description = "An asynchronous networking framework written in Python" optional = false python-versions = ">=3.8.0" files = [ - {file = "twisted-24.7.0-py3-none-any.whl", hash = "sha256:734832ef98108136e222b5230075b1079dad8a3fc5637319615619a7725b0c81"}, - {file = "twisted-24.7.0.tar.gz", hash = "sha256:5a60147f044187a127ec7da96d170d49bcce50c6fd36f594e60f4587eff4d394"}, + {file = "twisted-24.7.0rc1-py3-none-any.whl", hash = "sha256:f37d6656fe4e2871fab29d8952ae90bd6ca8b48a9e4dfa1b348f4cd62e6ba0bb"}, + {file = "twisted-24.7.0rc1.tar.gz", hash = "sha256:bbc4a2193ca34cfa32f626300746698a6d70fcd77d9c0b79a664c347e39634fc"}, ] [package.dependencies] @@ -3528,4 +3528,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.12,<3.13" -content-hash = 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do Q&A on them, extract information, summarise and more!
  • I can help you @search over selected documents and do Q&A on them, with citations
    • - +
  • I can help you @coach by analysing your current chat window and + giving targeted advice on how to use Redbox most effectively. I can see how you are using tools like @summarise, + @search, and @chat and give feedback to help you get more out of Redbox.
    • +

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b/worker/pyproject.toml index ccdb0ed65..4489d214a 100644 --- a/worker/pyproject.toml +++ b/worker/pyproject.toml @@ -18,12 +18,13 @@ langchain-elasticsearch = "^0.2.2" elasticsearch = "^8.14.0" opencv-python-headless = "^4.10.0.84" pillow-heif = "^0.16.0" -faststream = {extras = ["redis"], version = "<0.5.0"} -nltk = "3.8.1" +faststream = {extras = ["redis", "cli"], version = "^0.5.28"} +nltk = "3.9.1" pikepdf = "<9.0.0" torch = "2.2.2" unstructured = {version = "<0.14.9", extras = ["all-docs"]} unstructured-inference = "^0.7.36" +cryptography = "43.0.1" [tool.poetry.group.dev.dependencies] From 96a3f02dafe195cd5cef91729e2e28b2fcae371e Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Tue, 29 Oct 2024 12:46:47 +0000 Subject: [PATCH 150/153] fix: deprecated ntlk punk (#112) --- .github/workflows/python-app.yml | 2 +- worker/Dockerfile | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml index d47bf3aeb..788170ff0 100644 --- a/.github/workflows/python-app.yml +++ b/.github/workflows/python-app.yml @@ -83,7 +83,7 @@ jobs: cp .env.test worker/.env cd worker poetry install - poetry run python -m nltk.downloader punkt + poetry run python -m nltk.downloader punkt_tab poetry run pytest --cov=worker -v --cov-report=term-missing --cov-fail-under=80 test-redbox: diff --git a/worker/Dockerfile b/worker/Dockerfile index 27d57d52c..b6ab47bdb 100644 --- a/worker/Dockerfile +++ b/worker/Dockerfile @@ -19,7 +19,7 @@ RUN poetry install RUN poetry run python ../download_embedder.py --embedding_model "all-mpnet-base-v2" # Downlaod Sentence Tokenizer -RUN poetry run python -m nltk.downloader punkt +RUN poetry run python -m nltk.downloader punkt_tab # Download POS tagger RUN poetry run python -m nltk.downloader averaged_perceptron_tagger From 35bb8dbfec0029e45bd6a5e602e0270f55e0f7f2 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Tue, 29 Oct 2024 14:13:46 +0000 Subject: [PATCH 151/153] fix: add missing migration and update nltk averaged_perceptron_tagger (#113) --- ...remove_user_invite_accepted_at_and_more.py | 120 ++++++++++++++++++ worker/Dockerfile | 2 +- 2 files changed, 121 insertions(+), 1 deletion(-) create mode 100644 django_app/redbox_app/redbox_core/migrations/0025_alter_user_managers_remove_user_invite_accepted_at_and_more.py diff --git a/django_app/redbox_app/redbox_core/migrations/0025_alter_user_managers_remove_user_invite_accepted_at_and_more.py b/django_app/redbox_app/redbox_core/migrations/0025_alter_user_managers_remove_user_invite_accepted_at_and_more.py new file mode 100644 index 000000000..7ad103e1d --- /dev/null +++ b/django_app/redbox_app/redbox_core/migrations/0025_alter_user_managers_remove_user_invite_accepted_at_and_more.py @@ -0,0 +1,120 @@ +# Generated by Django 4.2.15 on 2024-10-21 15:13 + +from django.db import migrations, models +import django.utils.timezone +import redbox_app.redbox_core.models + + +class Migration(migrations.Migration): + + dependencies = [ + ("auth", "0012_alter_user_first_name_max_length"), + ("redbox_core", "0024_user_ai_experience_user_name"), + ] + + operations = [ + migrations.AlterModelManagers( + name="user", + managers=[ + ("objects", redbox_app.redbox_core.models.SSOUserManager()), + ], + ), + migrations.RemoveField( + model_name="user", + name="invite_accepted_at", + ), + migrations.RemoveField( + model_name="user", + name="invited_at", + ), + migrations.RemoveField( + model_name="user", + name="last_token_sent_at", + ), + migrations.RemoveField( + model_name="user", + name="verified", + ), + migrations.AddField( + model_name="user", + name="username", + field=models.EmailField( + default="default@default.co.uk", max_length=254, unique=True + ), + ), + migrations.AlterField( + model_name="user", + name="ai_experience", + field=models.CharField(blank=True, max_length=25, null=True), + ), + migrations.AlterField( + model_name="user", + name="date_joined", + field=models.DateTimeField(default=django.utils.timezone.now), + ), + migrations.AlterField( + model_name="user", + name="email", + field=models.EmailField(max_length=254, unique=True), + ), + migrations.AlterField( + model_name="user", + name="first_name", + field=models.CharField(max_length=48), + ), + migrations.AlterField( + model_name="user", + name="grade", + field=models.CharField(blank=True, max_length=3, null=True), + ), + migrations.AlterField( + model_name="user", + name="groups", + field=models.ManyToManyField( + blank=True, + related_name="sso_user_set", + to="auth.group", + verbose_name="groups", + ), + ), + migrations.AlterField( + model_name="user", + name="is_active", + field=models.BooleanField(default=True), + ), + migrations.AlterField( + model_name="user", + name="is_staff", + field=models.BooleanField(default=False), + ), + migrations.AlterField( + model_name="user", + name="is_superuser", + field=models.BooleanField(default=False), + ), + migrations.AlterField( + model_name="user", + name="last_name", + field=models.CharField(max_length=48), + ), + migrations.AlterField( + model_name="user", + name="password", + field=models.CharField(default="fakepassword"), + ), + migrations.AlterField( + model_name="user", + name="profession", + field=models.CharField(blank=True, max_length=4, null=True), + ), + migrations.AlterField( + model_name="user", + name="user_permissions", + field=models.ManyToManyField( + blank=True, + related_name="sso_user_set", + to="auth.permission", + verbose_name="user permissions", + ), + ), + ] \ No newline at end of file diff --git a/worker/Dockerfile b/worker/Dockerfile index b6ab47bdb..36656c3e2 100644 --- a/worker/Dockerfile +++ b/worker/Dockerfile @@ -22,7 +22,7 @@ RUN poetry run python ../download_embedder.py --embedding_model "all-mpnet-base- RUN poetry run python -m nltk.downloader punkt_tab # Download POS tagger -RUN poetry run python -m nltk.downloader averaged_perceptron_tagger +RUN poetry run python -m nltk.downloader averaged_perceptron_tagger_eng # Download the OCR models RUN poetry run python -m download_ocr_models From 7bcf61e93d798b5ec65ee245d291b2ecd2bb9686 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Fri, 29 Nov 2024 10:48:25 +0000 Subject: [PATCH 152/153] feat: REDBOX-303 - update privacy notice (#117) --- django_app/redbox_app/templates/privacy-notice-uktrade.html | 3 ++- django_app/redbox_app/templates/privacy-notice.html | 3 ++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/django_app/redbox_app/templates/privacy-notice-uktrade.html b/django_app/redbox_app/templates/privacy-notice-uktrade.html index bdf296686..bd46307a3 100644 --- a/django_app/redbox_app/templates/privacy-notice-uktrade.html +++ b/django_app/redbox_app/templates/privacy-notice-uktrade.html @@ -15,13 +15,14 @@

    Purpose

    The purposes for which we are processing your personal data are:

    • enabling login to the platform
      • -
    • information will be aggregated and used for anonymous further analysis
      • +
    • chat history and log information will be anonymised and analysis of this will be used to improve the service

    The data

    We will process the following personal data:

    • organisational email address
      • +
    • chat history
    diff --git a/django_app/redbox_app/templates/privacy-notice.html b/django_app/redbox_app/templates/privacy-notice.html index c880a05b6..bd9fbe136 100644 --- a/django_app/redbox_app/templates/privacy-notice.html +++ b/django_app/redbox_app/templates/privacy-notice.html @@ -17,13 +17,14 @@

    Purpose

    The purposes for which we are processing your personal data are:

    • enabling login to the platform
      • -
    • information will be aggregated and used for anonymous further analysis
      • +
    • chat history and log information will be anonymised and analysis of this will be used to improve the service

    The data

    We will process the following personal data:

    • organisational email address
      • +
    • chat history
    From 93ad82693ff695c22d0b75702e8957a16f6cd3a6 Mon Sep 17 00:00:00 2001 From: Tash Boyse <57753415+nboyse@users.noreply.github.com> Date: Fri, 29 Nov 2024 12:09:42 +0000 Subject: [PATCH 153/153] fix: bug with frontend import (#118) --- django_app/frontend/src/styles.scss | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/django_app/frontend/src/styles.scss b/django_app/frontend/src/styles.scss index 3e96c0ea1..842027ad8 100644 --- a/django_app/frontend/src/styles.scss +++ b/django_app/frontend/src/styles.scss @@ -2,7 +2,7 @@ $govuk-assets-path: "govuk-assets/"; $govuk-font-family: sans-serif; $redbox-red: #9c0000; /*old:#A50202*/ -@import "./node_modules/govuk-frontend/dist/govuk/all"; +@import "../node_modules/govuk-frontend/dist/govuk/all"; body { background-color: white;