From 837a7ac3c39973c331a8bbdfa2addd7fd306c824 Mon Sep 17 00:00:00 2001 From: Jyong <76649700+JohnJyong@users.noreply.github.com> Date: Mon, 30 Sep 2024 15:38:43 +0800 Subject: [PATCH] external knowledge api (#8913) Co-authored-by: Yi --- api/controllers/console/__init__.py | 11 +- api/controllers/console/datasets/datasets.py | 54 +- api/controllers/console/datasets/external.py | 239 +++ .../console/datasets/hit_testing.py | 2 + .../service_api/dataset/dataset.py | 27 +- .../index_tool_callback_handler.py | 2 +- api/core/rag/datasource/retrieval_service.py | 14 + api/core/rag/entities/context_entities.py | 10 + api/core/rag/models/document.py | 2 + api/core/rag/rerank/rerank_model.py | 17 +- api/core/rag/retrieval/dataset_retrieval.py | 300 ++-- .../knowledge_retrieval_node.py | 44 +- api/fields/dataset_fields.py | 13 + api/fields/external_dataset_fields.py | 11 + ...-6af6a521a53e_update_retrieval_resource.py | 48 + ...434-33f5fac87f29_external_knowledge_api.py | 73 + ...fca025d3b60f_add_dataset_retrival_model.py | 2 +- api/models/dataset.py | 106 ++ api/models/model.py | 6 +- api/poetry.lock | 1542 +++++++++-------- api/pyproject.toml | 1 + api/schedule/clean_unused_messages_task.py | 92 + api/services/dataset_service.py | 191 +- .../external_knowledge_entities.py | 26 + api/services/external_knowledge_service.py | 274 +++ api/services/hit_testing_service.py | 68 +- api/tasks/external_document_indexing_task.py | 93 + .../[datasetId]/layout.tsx | 26 +- web/app/(commonLayout)/datasets/Container.tsx | 20 +- .../(commonLayout)/datasets/DatasetCard.tsx | 29 +- .../datasets/NewDatasetCard.tsx | 27 +- .../(commonLayout)/datasets/connect/page.tsx | 8 + web/app/(commonLayout)/datasets/layout.tsx | 14 + web/app/(commonLayout)/datasets/page.tsx | 4 +- web/app/(commonLayout)/datasets/store.ts | 11 + web/app/components/app-sidebar/basic.tsx | 7 +- web/app/components/app-sidebar/index.tsx | 4 +- .../dataset-config/card-item/item.tsx | 10 +- .../params-config/config-content.tsx | 20 +- .../dataset-config/params-config/index.tsx | 15 +- .../dataset-config/select-dataset/index.tsx | 7 +- .../dataset-config/settings-modal/index.tsx | 148 +- .../components/base/corner-label/index.tsx | 21 + .../solid/development/api-connection-mod.svg | 5 + .../assets/vender/solid/shapes/corner.svg | 3 + .../solid/development/ApiConnectionMod.json | 38 + .../solid/development/ApiConnectionMod.tsx | 16 + .../src/vender/solid/development/index.ts | 1 + .../icons/src/vender/solid/shapes/Corner.json | 27 + .../icons/src/vender/solid/shapes/Corner.tsx | 16 + .../icons/src/vender/solid/shapes/index.ts | 1 + web/app/components/base/modal/index.css | 2 +- web/app/components/base/param-item/index.tsx | 1 + web/app/components/base/select/index.tsx | 2 +- .../detail/completed/SegmentCard.tsx | 20 +- .../datasets/external-api/declarations.ts | 16 + .../external-api/external-api-modal/Form.tsx | 90 + .../external-api/external-api-modal/index.tsx | 218 +++ .../external-api/external-api-panel/index.tsx | 90 + .../external-knowledge-api-card/index.tsx | 151 ++ .../connector/index.tsx | 36 + .../create/ExternalApiSelect.tsx | 110 ++ .../create/ExternalApiSelection.tsx | 96 + .../create/InfoPanel.tsx | 33 + .../create/KnowledgeBaseInfo.tsx | 65 + .../create/RetrievalSettings.tsx | 67 + .../create/declarations.ts | 12 + .../external-knowledge-base/create/index.tsx | 128 ++ .../datasets/hit-testing/hit-detail.tsx | 10 +- .../components/datasets/hit-testing/index.tsx | 111 +- .../modify-external-retrieval-modal.tsx | 71 + .../datasets/hit-testing/textarea.tsx | 91 +- .../datasets/rename-modal/index.tsx | 15 +- .../datasets/settings/form/index.tsx | 122 +- .../components/header/dataset-nav/index.tsx | 2 +- .../components/dataset-item.tsx | 58 +- .../nodes/knowledge-retrieval/use-config.ts | 10 +- .../nodes/knowledge-retrieval/utils.ts | 31 +- web/context/external-api-panel-context.tsx | 28 + .../external-knowledge-api-context.tsx | 46 + web/context/modal-context.tsx | 39 + web/i18n/en-US/dataset-hit-testing.ts | 4 +- web/i18n/en-US/dataset-settings.ts | 11 +- web/i18n/en-US/dataset.ts | 74 + web/i18n/zh-Hans/dataset-hit-testing.ts | 4 +- web/i18n/zh-Hans/dataset-settings.ts | 6 +- web/i18n/zh-Hans/dataset.ts | 74 + web/i18n/zh-Hant/dataset-hit-testing.ts | 1 + web/models/datasets.ts | 81 + web/service/datasets.ts | 42 +- 90 files changed, 4633 insertions(+), 1181 deletions(-) create mode 100644 api/controllers/console/datasets/external.py create mode 100644 api/core/rag/entities/context_entities.py create mode 100644 api/fields/external_dataset_fields.py create mode 100644 api/migrations/versions/2024_09_24_0922-6af6a521a53e_update_retrieval_resource.py create mode 100644 api/migrations/versions/2024_09_25_0434-33f5fac87f29_external_knowledge_api.py create mode 100644 api/schedule/clean_unused_messages_task.py create mode 100644 api/services/entities/external_knowledge_entities/external_knowledge_entities.py create mode 100644 api/services/external_knowledge_service.py create mode 100644 api/tasks/external_document_indexing_task.py create mode 100644 web/app/(commonLayout)/datasets/connect/page.tsx create mode 100644 web/app/(commonLayout)/datasets/layout.tsx create mode 100644 web/app/(commonLayout)/datasets/store.ts create mode 100644 web/app/components/base/corner-label/index.tsx create mode 100644 web/app/components/base/icons/assets/vender/solid/development/api-connection-mod.svg create mode 100644 web/app/components/base/icons/assets/vender/solid/shapes/corner.svg create mode 100644 web/app/components/base/icons/src/vender/solid/development/ApiConnectionMod.json create mode 100644 web/app/components/base/icons/src/vender/solid/development/ApiConnectionMod.tsx create mode 100644 web/app/components/base/icons/src/vender/solid/shapes/Corner.json create mode 100644 web/app/components/base/icons/src/vender/solid/shapes/Corner.tsx create mode 100644 web/app/components/datasets/external-api/declarations.ts create mode 100644 web/app/components/datasets/external-api/external-api-modal/Form.tsx create mode 100644 web/app/components/datasets/external-api/external-api-modal/index.tsx create mode 100644 web/app/components/datasets/external-api/external-api-panel/index.tsx create mode 100644 web/app/components/datasets/external-api/external-knowledge-api-card/index.tsx create mode 100644 web/app/components/datasets/external-knowledge-base/connector/index.tsx create mode 100644 web/app/components/datasets/external-knowledge-base/create/ExternalApiSelect.tsx create mode 100644 web/app/components/datasets/external-knowledge-base/create/ExternalApiSelection.tsx create mode 100644 web/app/components/datasets/external-knowledge-base/create/InfoPanel.tsx create mode 100644 web/app/components/datasets/external-knowledge-base/create/KnowledgeBaseInfo.tsx create mode 100644 web/app/components/datasets/external-knowledge-base/create/RetrievalSettings.tsx create mode 100644 web/app/components/datasets/external-knowledge-base/create/declarations.ts create mode 100644 web/app/components/datasets/external-knowledge-base/create/index.tsx create mode 100644 web/app/components/datasets/hit-testing/modify-external-retrieval-modal.tsx create mode 100644 web/context/external-api-panel-context.tsx create mode 100644 web/context/external-knowledge-api-context.tsx diff --git a/api/controllers/console/__init__.py b/api/controllers/console/__init__.py index eb7c1464d39722..c7282fcf145318 100644 --- a/api/controllers/console/__init__.py +++ b/api/controllers/console/__init__.py @@ -37,7 +37,16 @@ from .billing import billing # Import datasets controllers -from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing, website +from .datasets import ( + data_source, + datasets, + datasets_document, + datasets_segments, + external, + file, + hit_testing, + website, +) # Import explore controllers from .explore import ( diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 5a763b3457c695..9561fd8b70e4b9 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -49,7 +49,7 @@ def get(self): page = request.args.get("page", default=1, type=int) limit = request.args.get("limit", default=20, type=int) ids = request.args.getlist("ids") - provider = request.args.get("provider", default="vendor") + # provider = request.args.get("provider", default="vendor") search = request.args.get("keyword", default=None, type=str) tag_ids = request.args.getlist("tag_ids") @@ -57,7 +57,7 @@ def get(self): datasets, total = DatasetService.get_datasets_by_ids(ids, current_user.current_tenant_id) else: datasets, total = DatasetService.get_datasets( - page, limit, provider, current_user.current_tenant_id, current_user, search, tag_ids + page, limit, current_user.current_tenant_id, current_user, search, tag_ids ) # check embedding setting @@ -110,6 +110,26 @@ def post(self): nullable=True, help="Invalid indexing technique.", ) + parser.add_argument( + "external_knowledge_api_id", + type=str, + nullable=True, + required=False, + ) + parser.add_argument( + "provider", + type=str, + nullable=True, + choices=Dataset.PROVIDER_LIST, + required=False, + default="vendor", + ) + parser.add_argument( + "external_knowledge_id", + type=str, + nullable=True, + required=False, + ) args = parser.parse_args() # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator @@ -123,6 +143,9 @@ def post(self): indexing_technique=args["indexing_technique"], account=current_user, permission=DatasetPermissionEnum.ONLY_ME, + provider=args["provider"], + external_knowledge_api_id=args["external_knowledge_api_id"], + external_knowledge_id=args["external_knowledge_id"], ) except services.errors.dataset.DatasetNameDuplicateError: raise DatasetNameDuplicateError() @@ -211,6 +234,33 @@ def patch(self, dataset_id): ) parser.add_argument("retrieval_model", type=dict, location="json", help="Invalid retrieval model.") parser.add_argument("partial_member_list", type=list, location="json", help="Invalid parent user list.") + + parser.add_argument( + "external_retrieval_model", + type=dict, + required=False, + nullable=True, + location="json", + help="Invalid external retrieval model.", + ) + + parser.add_argument( + "external_knowledge_id", + type=str, + required=False, + nullable=True, + location="json", + help="Invalid external knowledge id.", + ) + + parser.add_argument( + "external_knowledge_api_id", + type=str, + required=False, + nullable=True, + location="json", + help="Invalid external knowledge api id.", + ) args = parser.parse_args() data = request.get_json() diff --git a/api/controllers/console/datasets/external.py b/api/controllers/console/datasets/external.py new file mode 100644 index 00000000000000..dcef979360ba62 --- /dev/null +++ b/api/controllers/console/datasets/external.py @@ -0,0 +1,239 @@ +from flask import request +from flask_login import current_user +from flask_restful import Resource, marshal, reqparse +from werkzeug.exceptions import Forbidden, InternalServerError, NotFound + +import services +from controllers.console import api +from controllers.console.datasets.error import DatasetNameDuplicateError +from controllers.console.setup import setup_required +from controllers.console.wraps import account_initialization_required +from fields.dataset_fields import dataset_detail_fields +from libs.login import login_required +from services.dataset_service import DatasetService +from services.external_knowledge_service import ExternalDatasetService +from services.hit_testing_service import HitTestingService + + +def _validate_name(name): + if not name or len(name) < 1 or len(name) > 100: + raise ValueError("Name must be between 1 to 100 characters.") + return name + + +def _validate_description_length(description): + if description and len(description) > 400: + raise ValueError("Description cannot exceed 400 characters.") + return description + + +class ExternalApiTemplateListApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self): + page = request.args.get("page", default=1, type=int) + limit = request.args.get("limit", default=20, type=int) + search = request.args.get("keyword", default=None, type=str) + + external_knowledge_apis, total = ExternalDatasetService.get_external_knowledge_apis( + page, limit, current_user.current_tenant_id, search + ) + response = { + "data": [item.to_dict() for item in external_knowledge_apis], + "has_more": len(external_knowledge_apis) == limit, + "limit": limit, + "total": total, + "page": page, + } + return response, 200 + + @setup_required + @login_required + @account_initialization_required + def post(self): + parser = reqparse.RequestParser() + parser.add_argument( + "name", + nullable=False, + required=True, + help="Name is required. Name must be between 1 to 100 characters.", + type=_validate_name, + ) + parser.add_argument( + "settings", + type=dict, + location="json", + nullable=False, + required=True, + ) + args = parser.parse_args() + + ExternalDatasetService.validate_api_list(args["settings"]) + + # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator + if not current_user.is_dataset_editor: + raise Forbidden() + + try: + external_knowledge_api = ExternalDatasetService.create_external_knowledge_api( + tenant_id=current_user.current_tenant_id, user_id=current_user.id, args=args + ) + except services.errors.dataset.DatasetNameDuplicateError: + raise DatasetNameDuplicateError() + + return external_knowledge_api.to_dict(), 201 + + +class ExternalApiTemplateApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self, external_knowledge_api_id): + external_knowledge_api_id = str(external_knowledge_api_id) + external_knowledge_api = ExternalDatasetService.get_external_knowledge_api(external_knowledge_api_id) + if external_knowledge_api is None: + raise NotFound("API template not found.") + + return external_knowledge_api.to_dict(), 200 + + @setup_required + @login_required + @account_initialization_required + def patch(self, external_knowledge_api_id): + external_knowledge_api_id = str(external_knowledge_api_id) + + parser = reqparse.RequestParser() + parser.add_argument( + "name", + nullable=False, + required=True, + help="type is required. Name must be between 1 to 100 characters.", + type=_validate_name, + ) + parser.add_argument( + "settings", + type=dict, + location="json", + nullable=False, + required=True, + ) + args = parser.parse_args() + ExternalDatasetService.validate_api_list(args["settings"]) + + external_knowledge_api = ExternalDatasetService.update_external_knowledge_api( + tenant_id=current_user.current_tenant_id, + user_id=current_user.id, + external_knowledge_api_id=external_knowledge_api_id, + args=args, + ) + + return external_knowledge_api.to_dict(), 200 + + @setup_required + @login_required + @account_initialization_required + def delete(self, external_knowledge_api_id): + external_knowledge_api_id = str(external_knowledge_api_id) + + # The role of the current user in the ta table must be admin, owner, or editor + if not current_user.is_editor or current_user.is_dataset_operator: + raise Forbidden() + + ExternalDatasetService.delete_external_knowledge_api(current_user.current_tenant_id, external_knowledge_api_id) + return {"result": "success"}, 200 + + +class ExternalApiUseCheckApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self, external_knowledge_api_id): + external_knowledge_api_id = str(external_knowledge_api_id) + + external_knowledge_api_is_using, count = ExternalDatasetService.external_knowledge_api_use_check( + external_knowledge_api_id + ) + return {"is_using": external_knowledge_api_is_using, "count": count}, 200 + + +class ExternalDatasetCreateApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + # The role of the current user in the ta table must be admin, owner, or editor + if not current_user.is_editor: + raise Forbidden() + + parser = reqparse.RequestParser() + parser.add_argument("external_knowledge_api_id", type=str, required=True, nullable=False, location="json") + parser.add_argument("external_knowledge_id", type=str, required=True, nullable=False, location="json") + parser.add_argument( + "name", + nullable=False, + required=True, + help="name is required. Name must be between 1 to 100 characters.", + type=_validate_name, + ) + parser.add_argument("description", type=str, required=False, nullable=True, location="json") + parser.add_argument("external_retrieval_model", type=dict, required=False, location="json") + + args = parser.parse_args() + + # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator + if not current_user.is_dataset_editor: + raise Forbidden() + + try: + dataset = ExternalDatasetService.create_external_dataset( + tenant_id=current_user.current_tenant_id, + user_id=current_user.id, + args=args, + ) + except services.errors.dataset.DatasetNameDuplicateError: + raise DatasetNameDuplicateError() + + return marshal(dataset, dataset_detail_fields), 201 + + +class ExternalKnowledgeHitTestingApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self, dataset_id): + dataset_id_str = str(dataset_id) + dataset = DatasetService.get_dataset(dataset_id_str) + if dataset is None: + raise NotFound("Dataset not found.") + + try: + DatasetService.check_dataset_permission(dataset, current_user) + except services.errors.account.NoPermissionError as e: + raise Forbidden(str(e)) + + parser = reqparse.RequestParser() + parser.add_argument("query", type=str, location="json") + parser.add_argument("external_retrieval_model", type=dict, required=False, location="json") + args = parser.parse_args() + + HitTestingService.hit_testing_args_check(args) + + try: + response = HitTestingService.external_retrieve( + dataset=dataset, + query=args["query"], + account=current_user, + external_retrieval_model=args["external_retrieval_model"], + ) + + return response + except Exception as e: + raise InternalServerError(str(e)) + + +api.add_resource(ExternalKnowledgeHitTestingApi, "/datasets//external-hit-testing") +api.add_resource(ExternalDatasetCreateApi, "/datasets/external") +api.add_resource(ExternalApiTemplateListApi, "/datasets/external-knowledge-api") +api.add_resource(ExternalApiTemplateApi, "/datasets/external-knowledge-api/") +api.add_resource(ExternalApiUseCheckApi, "/datasets/external-knowledge-api//use-check") diff --git a/api/controllers/console/datasets/hit_testing.py b/api/controllers/console/datasets/hit_testing.py index 0b4a7be986e167..6e6d8c0bd76f23 100644 --- a/api/controllers/console/datasets/hit_testing.py +++ b/api/controllers/console/datasets/hit_testing.py @@ -47,6 +47,7 @@ def post(self, dataset_id): parser = reqparse.RequestParser() parser.add_argument("query", type=str, location="json") parser.add_argument("retrieval_model", type=dict, required=False, location="json") + parser.add_argument("external_retrieval_model", type=dict, required=False, location="json") args = parser.parse_args() HitTestingService.hit_testing_args_check(args) @@ -57,6 +58,7 @@ def post(self, dataset_id): query=args["query"], account=current_user, retrieval_model=args["retrieval_model"], + external_retrieval_model=args["external_retrieval_model"], limit=10, ) diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py index c2c0672a0346dd..f076cff6c87702 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -28,11 +28,11 @@ def get(self, tenant_id): page = request.args.get("page", default=1, type=int) limit = request.args.get("limit", default=20, type=int) - provider = request.args.get("provider", default="vendor") + # provider = request.args.get("provider", default="vendor") search = request.args.get("keyword", default=None, type=str) tag_ids = request.args.getlist("tag_ids") - datasets, total = DatasetService.get_datasets(page, limit, provider, tenant_id, current_user, search, tag_ids) + datasets, total = DatasetService.get_datasets(page, limit, tenant_id, current_user, search, tag_ids) # check embedding setting provider_manager = ProviderManager() configurations = provider_manager.get_configurations(tenant_id=current_user.current_tenant_id) @@ -82,6 +82,26 @@ def post(self, tenant_id): required=False, nullable=False, ) + parser.add_argument( + "external_knowledge_api_id", + type=str, + nullable=True, + required=False, + default="_validate_name", + ) + parser.add_argument( + "provider", + type=str, + nullable=True, + required=False, + default="vendor", + ) + parser.add_argument( + "external_knowledge_id", + type=str, + nullable=True, + required=False, + ) args = parser.parse_args() try: @@ -91,6 +111,9 @@ def post(self, tenant_id): indexing_technique=args["indexing_technique"], account=current_user, permission=args["permission"], + provider=args["provider"], + external_knowledge_api_id=args["external_knowledge_api_id"], + external_knowledge_id=args["external_knowledge_id"], ) except services.errors.dataset.DatasetNameDuplicateError: raise DatasetNameDuplicateError() diff --git a/api/core/callback_handler/index_tool_callback_handler.py b/api/core/callback_handler/index_tool_callback_handler.py index 7cf472d984a38c..23dc092895c8ce 100644 --- a/api/core/callback_handler/index_tool_callback_handler.py +++ b/api/core/callback_handler/index_tool_callback_handler.py @@ -59,7 +59,7 @@ def return_retriever_resource_info(self, resource: list): for item in resource: dataset_retriever_resource = DatasetRetrieverResource( message_id=self._message_id, - position=item.get("position"), + position=item.get("position") or 0, dataset_id=item.get("dataset_id"), dataset_name=item.get("dataset_name"), document_id=item.get("document_id"), diff --git a/api/core/rag/datasource/retrieval_service.py b/api/core/rag/datasource/retrieval_service.py index afac1bf30086e9..d3fd0c672ad278 100644 --- a/api/core/rag/datasource/retrieval_service.py +++ b/api/core/rag/datasource/retrieval_service.py @@ -10,6 +10,7 @@ from core.rag.retrieval.retrieval_methods import RetrievalMethod from extensions.ext_database import db from models.dataset import Dataset +from services.external_knowledge_service import ExternalDatasetService default_retrieval_model = { "search_method": RetrievalMethod.SEMANTIC_SEARCH.value, @@ -34,6 +35,9 @@ def retrieve( weights: Optional[dict] = None, ): dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() + if not dataset: + return [] + if not dataset or dataset.available_document_count == 0 or dataset.available_segment_count == 0: return [] all_documents = [] @@ -108,6 +112,16 @@ def retrieve( ) return all_documents + @classmethod + def external_retrieve(cls, dataset_id: str, query: str, external_retrieval_model: Optional[dict] = None): + dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() + if not dataset: + return [] + all_documents = ExternalDatasetService.fetch_external_knowledge_retrieval( + dataset.tenant_id, dataset_id, query, external_retrieval_model + ) + return all_documents + @classmethod def keyword_search( cls, flask_app: Flask, dataset_id: str, query: str, top_k: int, all_documents: list, exceptions: list diff --git a/api/core/rag/entities/context_entities.py b/api/core/rag/entities/context_entities.py new file mode 100644 index 00000000000000..dde3beccf6e46a --- /dev/null +++ b/api/core/rag/entities/context_entities.py @@ -0,0 +1,10 @@ +from pydantic import BaseModel + + +class DocumentContext(BaseModel): + """ + Model class for document context. + """ + + content: str + score: float diff --git a/api/core/rag/models/document.py b/api/core/rag/models/document.py index 0ff1fdb81cb870..1e9aaa24f04c98 100644 --- a/api/core/rag/models/document.py +++ b/api/core/rag/models/document.py @@ -17,6 +17,8 @@ class Document(BaseModel): """ metadata: Optional[dict] = Field(default_factory=dict) + provider: Optional[str] = "dify" + class BaseDocumentTransformer(ABC): """Abstract base class for document transformation systems. diff --git a/api/core/rag/rerank/rerank_model.py b/api/core/rag/rerank/rerank_model.py index 6356ff87ab8ef1..27f86aed34a818 100644 --- a/api/core/rag/rerank/rerank_model.py +++ b/api/core/rag/rerank/rerank_model.py @@ -28,11 +28,16 @@ def run( docs = [] doc_id = [] unique_documents = [] - for document in documents: + dify_documents = [item for item in documents if item.provider == "dify"] + external_documents = [item for item in documents if item.provider == "external"] + for document in dify_documents: if document.metadata["doc_id"] not in doc_id: doc_id.append(document.metadata["doc_id"]) docs.append(document.page_content) unique_documents.append(document) + for document in external_documents: + docs.append(document.page_content) + unique_documents.append(document) documents = unique_documents @@ -46,14 +51,10 @@ def run( # format document rerank_document = Document( page_content=result.text, - metadata={ - "doc_id": documents[result.index].metadata["doc_id"], - "doc_hash": documents[result.index].metadata["doc_hash"], - "document_id": documents[result.index].metadata["document_id"], - "dataset_id": documents[result.index].metadata["dataset_id"], - "score": result.score, - }, + metadata=documents[result.index].metadata, + provider=documents[result.index].provider, ) + rerank_document.metadata["score"] = result.score rerank_documents.append(rerank_document) return rerank_documents diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py index 4603957d685999..ae61ba7112243c 100644 --- a/api/core/rag/retrieval/dataset_retrieval.py +++ b/api/core/rag/retrieval/dataset_retrieval.py @@ -20,6 +20,7 @@ from core.rag.data_post_processor.data_post_processor import DataPostProcessor from core.rag.datasource.keyword.jieba.jieba_keyword_table_handler import JiebaKeywordTableHandler from core.rag.datasource.retrieval_service import RetrievalService +from core.rag.entities.context_entities import DocumentContext from core.rag.models.document import Document from core.rag.retrieval.retrieval_methods import RetrievalMethod from core.rag.retrieval.router.multi_dataset_function_call_router import FunctionCallMultiDatasetRouter @@ -30,6 +31,7 @@ from extensions.ext_database import db from models.dataset import Dataset, DatasetQuery, DocumentSegment from models.dataset import Document as DatasetDocument +from services.external_knowledge_service import ExternalDatasetService default_retrieval_model = { "search_method": RetrievalMethod.SEMANTIC_SEARCH.value, @@ -110,7 +112,7 @@ def retrieve( continue # pass if dataset is not available - if dataset and dataset.available_document_count == 0: + if dataset and dataset.available_document_count == 0 and dataset.provider != "external": continue available_datasets.append(dataset) @@ -146,69 +148,93 @@ def retrieve( message_id, ) - document_score_list = {} - for item in all_documents: - if item.metadata.get("score"): - document_score_list[item.metadata["doc_id"]] = item.metadata["score"] - + dify_documents = [item for item in all_documents if item.provider == "dify"] + external_documents = [item for item in all_documents if item.provider == "external"] document_context_list = [] - index_node_ids = [document.metadata["doc_id"] for document in all_documents] - segments = DocumentSegment.query.filter( - DocumentSegment.dataset_id.in_(dataset_ids), - DocumentSegment.completed_at.isnot(None), - DocumentSegment.status == "completed", - DocumentSegment.enabled == True, - DocumentSegment.index_node_id.in_(index_node_ids), - ).all() - - if segments: - index_node_id_to_position = {id: position for position, id in enumerate(index_node_ids)} - sorted_segments = sorted( - segments, key=lambda segment: index_node_id_to_position.get(segment.index_node_id, float("inf")) - ) - for segment in sorted_segments: - if segment.answer: - document_context_list.append(f"question:{segment.get_sign_content()} answer:{segment.answer}") - else: - document_context_list.append(segment.get_sign_content()) - if show_retrieve_source: - context_list = [] - resource_number = 1 + retrieval_resource_list = [] + # deal with external documents + for item in external_documents: + document_context_list.append(DocumentContext(content=item.page_content, score=item.metadata.get("score"))) + source = { + "dataset_id": item.metadata.get("dataset_id"), + "dataset_name": item.metadata.get("dataset_name"), + "document_name": item.metadata.get("title"), + "data_source_type": "external", + "retriever_from": invoke_from.to_source(), + "score": item.metadata.get("score"), + "content": item.page_content, + } + retrieval_resource_list.append(source) + document_score_list = {} + # deal with dify documents + if dify_documents: + for item in dify_documents: + if item.metadata.get("score"): + document_score_list[item.metadata["doc_id"]] = item.metadata["score"] + + index_node_ids = [document.metadata["doc_id"] for document in dify_documents] + segments = DocumentSegment.query.filter( + DocumentSegment.dataset_id.in_(dataset_ids), + DocumentSegment.status == "completed", + DocumentSegment.enabled == True, + DocumentSegment.index_node_id.in_(index_node_ids), + ).all() + + if segments: + index_node_id_to_position = {id: position for position, id in enumerate(index_node_ids)} + sorted_segments = sorted( + segments, key=lambda segment: index_node_id_to_position.get(segment.index_node_id, float("inf")) + ) for segment in sorted_segments: - dataset = Dataset.query.filter_by(id=segment.dataset_id).first() - document = DatasetDocument.query.filter( - DatasetDocument.id == segment.document_id, - DatasetDocument.enabled == True, - DatasetDocument.archived == False, - ).first() - if dataset and document: - source = { - "position": resource_number, - "dataset_id": dataset.id, - "dataset_name": dataset.name, - "document_id": document.id, - "document_name": document.name, - "data_source_type": document.data_source_type, - "segment_id": segment.id, - "retriever_from": invoke_from.to_source(), - "score": document_score_list.get(segment.index_node_id, None), - } - - if invoke_from.to_source() == "dev": - source["hit_count"] = segment.hit_count - source["word_count"] = segment.word_count - source["segment_position"] = segment.position - source["index_node_hash"] = segment.index_node_hash - if segment.answer: - source["content"] = f"question:{segment.content} \nanswer:{segment.answer}" - else: - source["content"] = segment.content - context_list.append(source) - resource_number += 1 - if hit_callback: - hit_callback.return_retriever_resource_info(context_list) - - return str("\n".join(document_context_list)) + if segment.answer: + document_context_list.append( + DocumentContext( + content=f"question:{segment.get_sign_content()} answer:{segment.answer}", + score=document_score_list.get(segment.index_node_id, None), + ) + ) + else: + document_context_list.append( + DocumentContext( + content=segment.get_sign_content(), + score=document_score_list.get(segment.index_node_id, None), + ) + ) + if show_retrieve_source: + for segment in sorted_segments: + dataset = Dataset.query.filter_by(id=segment.dataset_id).first() + document = DatasetDocument.query.filter( + DatasetDocument.id == segment.document_id, + DatasetDocument.enabled == True, + DatasetDocument.archived == False, + ).first() + if dataset and document: + source = { + "dataset_id": dataset.id, + "dataset_name": dataset.name, + "document_id": document.id, + "document_name": document.name, + "data_source_type": document.data_source_type, + "segment_id": segment.id, + "retriever_from": invoke_from.to_source(), + "score": document_score_list.get(segment.index_node_id, None), + } + + if invoke_from.to_source() == "dev": + source["hit_count"] = segment.hit_count + source["word_count"] = segment.word_count + source["segment_position"] = segment.position + source["index_node_hash"] = segment.index_node_hash + if segment.answer: + source["content"] = f"question:{segment.content} \nanswer:{segment.answer}" + else: + source["content"] = segment.content + retrieval_resource_list.append(source) + if hit_callback and retrieval_resource_list: + hit_callback.return_retriever_resource_info(retrieval_resource_list) + if document_context_list: + document_context_list = sorted(document_context_list, key=lambda x: x.score, reverse=True) + return str("\n".join([document_context.content for document_context in document_context_list])) return "" def single_retrieve( @@ -256,36 +282,58 @@ def single_retrieve( # get retrieval model config dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() if dataset: - retrieval_model_config = dataset.retrieval_model or default_retrieval_model - - # get top k - top_k = retrieval_model_config["top_k"] - # get retrieval method - if dataset.indexing_technique == "economy": - retrieval_method = "keyword_search" - else: - retrieval_method = retrieval_model_config["search_method"] - # get reranking model - reranking_model = ( - retrieval_model_config["reranking_model"] if retrieval_model_config["reranking_enable"] else None - ) - # get score threshold - score_threshold = 0.0 - score_threshold_enabled = retrieval_model_config.get("score_threshold_enabled") - if score_threshold_enabled: - score_threshold = retrieval_model_config.get("score_threshold") - - with measure_time() as timer: - results = RetrievalService.retrieve( - retrieval_method=retrieval_method, - dataset_id=dataset.id, + results = [] + if dataset.provider == "external": + external_documents = ExternalDatasetService.fetch_external_knowledge_retrieval( + tenant_id=dataset.tenant_id, + dataset_id=dataset_id, query=query, - top_k=top_k, - score_threshold=score_threshold, - reranking_model=reranking_model, - reranking_mode=retrieval_model_config.get("reranking_mode", "reranking_model"), - weights=retrieval_model_config.get("weights", None), + external_retrieval_parameters=dataset.retrieval_model, + ) + for external_document in external_documents: + document = Document( + page_content=external_document.get("content"), + metadata=external_document.get("metadata"), + provider="external", + ) + document.metadata["score"] = external_document.get("score") + document.metadata["title"] = external_document.get("title") + document.metadata["dataset_id"] = dataset_id + document.metadata["dataset_name"] = dataset.name + results.append(document) + else: + retrieval_model_config = dataset.retrieval_model or default_retrieval_model + + # get top k + top_k = retrieval_model_config["top_k"] + # get retrieval method + if dataset.indexing_technique == "economy": + retrieval_method = "keyword_search" + else: + retrieval_method = retrieval_model_config["search_method"] + # get reranking model + reranking_model = ( + retrieval_model_config["reranking_model"] + if retrieval_model_config["reranking_enable"] + else None ) + # get score threshold + score_threshold = 0.0 + score_threshold_enabled = retrieval_model_config.get("score_threshold_enabled") + if score_threshold_enabled: + score_threshold = retrieval_model_config.get("score_threshold") + + with measure_time() as timer: + results = RetrievalService.retrieve( + retrieval_method=retrieval_method, + dataset_id=dataset.id, + query=query, + top_k=top_k, + score_threshold=score_threshold, + reranking_model=reranking_model, + reranking_mode=retrieval_model_config.get("reranking_mode", "reranking_model"), + weights=retrieval_model_config.get("weights", None), + ) self._on_query(query, [dataset_id], app_id, user_from, user_id) if results: @@ -356,7 +404,8 @@ def _on_retrieval_end( self, documents: list[Document], message_id: Optional[str] = None, timer: Optional[dict] = None ) -> None: """Handle retrieval end.""" - for document in documents: + dify_documents = [document for document in documents if document.provider == "dify"] + for document in dify_documents: query = db.session.query(DocumentSegment).filter( DocumentSegment.index_node_id == document.metadata["doc_id"] ) @@ -409,35 +458,54 @@ def _retriever(self, flask_app: Flask, dataset_id: str, query: str, top_k: int, if not dataset: return [] - # get retrieval model , if the model is not setting , using default - retrieval_model = dataset.retrieval_model or default_retrieval_model - - if dataset.indexing_technique == "economy": - # use keyword table query - documents = RetrievalService.retrieve( - retrieval_method="keyword_search", dataset_id=dataset.id, query=query, top_k=top_k + if dataset.provider == "external": + external_documents = ExternalDatasetService.fetch_external_knowledge_retrieval( + tenant_id=dataset.tenant_id, + dataset_id=dataset_id, + query=query, + external_retrieval_parameters=dataset.retrieval_model, ) - if documents: - all_documents.extend(documents) + for external_document in external_documents: + document = Document( + page_content=external_document.get("content"), + metadata=external_document.get("metadata"), + provider="external", + ) + document.metadata["score"] = external_document.get("score") + document.metadata["title"] = external_document.get("title") + document.metadata["dataset_id"] = dataset_id + document.metadata["dataset_name"] = dataset.name + all_documents.append(document) else: - if top_k > 0: - # retrieval source + # get retrieval model , if the model is not setting , using default + retrieval_model = dataset.retrieval_model or default_retrieval_model + + if dataset.indexing_technique == "economy": + # use keyword table query documents = RetrievalService.retrieve( - retrieval_method=retrieval_model["search_method"], - dataset_id=dataset.id, - query=query, - top_k=retrieval_model.get("top_k") or 2, - score_threshold=retrieval_model.get("score_threshold", 0.0) - if retrieval_model["score_threshold_enabled"] - else 0.0, - reranking_model=retrieval_model.get("reranking_model", None) - if retrieval_model["reranking_enable"] - else None, - reranking_mode=retrieval_model.get("reranking_mode") or "reranking_model", - weights=retrieval_model.get("weights", None), + retrieval_method="keyword_search", dataset_id=dataset.id, query=query, top_k=top_k ) - - all_documents.extend(documents) + if documents: + all_documents.extend(documents) + else: + if top_k > 0: + # retrieval source + documents = RetrievalService.retrieve( + retrieval_method=retrieval_model["search_method"], + dataset_id=dataset.id, + query=query, + top_k=retrieval_model.get("top_k") or 2, + score_threshold=retrieval_model.get("score_threshold", 0.0) + if retrieval_model["score_threshold_enabled"] + else 0.0, + reranking_model=retrieval_model.get("reranking_model", None) + if retrieval_model["reranking_enable"] + else None, + reranking_mode=retrieval_model.get("reranking_mode") or "reranking_model", + weights=retrieval_model.get("weights", None), + ) + + all_documents.extend(documents) def to_dataset_retriever_tool( self, diff --git a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py index af55688a52c9b7..c08dc143a6f326 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py +++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py @@ -156,16 +156,34 @@ def _fetch_dataset_retriever(self, node_data: KnowledgeRetrievalNodeData, query: weights, node_data.multiple_retrieval_config.reranking_enable, ) - - context_list = [] - if all_documents: + dify_documents = [item for item in all_documents if item.provider == "dify"] + external_documents = [item for item in all_documents if item.provider == "external"] + retrieval_resource_list = [] + # deal with external documents + for item in external_documents: + source = { + "metadata": { + "_source": "knowledge", + "dataset_id": item.metadata.get("dataset_id"), + "dataset_name": item.metadata.get("dataset_name"), + "document_name": item.metadata.get("title"), + "data_source_type": "external", + "retriever_from": "workflow", + "score": item.metadata.get("score"), + }, + "title": item.metadata.get("title"), + "content": item.page_content, + } + retrieval_resource_list.append(source) + document_score_list = {} + # deal with dify documents + if dify_documents: document_score_list = {} - page_number_list = {} - for item in all_documents: + for item in dify_documents: if item.metadata.get("score"): document_score_list[item.metadata["doc_id"]] = item.metadata["score"] - index_node_ids = [document.metadata["doc_id"] for document in all_documents] + index_node_ids = [document.metadata["doc_id"] for document in dify_documents] segments = DocumentSegment.query.filter( DocumentSegment.dataset_id.in_(dataset_ids), DocumentSegment.completed_at.isnot(None), @@ -186,13 +204,10 @@ def _fetch_dataset_retriever(self, node_data: KnowledgeRetrievalNodeData, query: Document.enabled == True, Document.archived == False, ).first() - - resource_number = 1 if dataset and document: source = { "metadata": { "_source": "knowledge", - "position": resource_number, "dataset_id": dataset.id, "dataset_name": dataset.name, "document_id": document.id, @@ -212,9 +227,14 @@ def _fetch_dataset_retriever(self, node_data: KnowledgeRetrievalNodeData, query: source["content"] = f"question:{segment.get_sign_content()} \nanswer:{segment.answer}" else: source["content"] = segment.get_sign_content() - context_list.append(source) - resource_number += 1 - return context_list + retrieval_resource_list.append(source) + if retrieval_resource_list: + retrieval_resource_list = sorted(retrieval_resource_list, key=lambda x: x.get("score"), reverse=True) + position = 1 + for item in retrieval_resource_list: + item["metadata"]["position"] = position + position += 1 + return retrieval_resource_list @classmethod def _extract_variable_selector_to_variable_mapping( diff --git a/api/fields/dataset_fields.py b/api/fields/dataset_fields.py index 9cf8da7acdc984..b32423f10c9dd1 100644 --- a/api/fields/dataset_fields.py +++ b/api/fields/dataset_fields.py @@ -38,9 +38,20 @@ "score_threshold_enabled": fields.Boolean, "score_threshold": fields.Float, } +external_retrieval_model_fields = { + "top_k": fields.Integer, + "score_threshold": fields.Float, +} tag_fields = {"id": fields.String, "name": fields.String, "type": fields.String} +external_knowledge_info_fields = { + "external_knowledge_id": fields.String, + "external_knowledge_api_id": fields.String, + "external_knowledge_api_name": fields.String, + "external_knowledge_api_endpoint": fields.String, +} + dataset_detail_fields = { "id": fields.String, "name": fields.String, @@ -61,6 +72,8 @@ "embedding_available": fields.Boolean, "retrieval_model_dict": fields.Nested(dataset_retrieval_model_fields), "tags": fields.List(fields.Nested(tag_fields)), + "external_knowledge_info": fields.Nested(external_knowledge_info_fields), + "external_retrieval_model": fields.Nested(external_retrieval_model_fields, allow_null=True), } dataset_query_detail_fields = { diff --git a/api/fields/external_dataset_fields.py b/api/fields/external_dataset_fields.py new file mode 100644 index 00000000000000..2281460fe22146 --- /dev/null +++ b/api/fields/external_dataset_fields.py @@ -0,0 +1,11 @@ +from flask_restful import fields + +from libs.helper import TimestampField + +external_knowledge_api_query_detail_fields = { + "id": fields.String, + "name": fields.String, + "setting": fields.String, + "created_by": fields.String, + "created_at": TimestampField, +} diff --git a/api/migrations/versions/2024_09_24_0922-6af6a521a53e_update_retrieval_resource.py b/api/migrations/versions/2024_09_24_0922-6af6a521a53e_update_retrieval_resource.py new file mode 100644 index 00000000000000..5337b340db7690 --- /dev/null +++ b/api/migrations/versions/2024_09_24_0922-6af6a521a53e_update_retrieval_resource.py @@ -0,0 +1,48 @@ +"""update-retrieval-resource + +Revision ID: 6af6a521a53e +Revises: ec3df697ebbb +Create Date: 2024-09-24 09:22:43.570120 + +""" +from alembic import op +import models as models +import sqlalchemy as sa +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = '6af6a521a53e' +down_revision = 'd57ba9ebb251' +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table('dataset_retriever_resources', schema=None) as batch_op: + batch_op.alter_column('document_id', + existing_type=sa.UUID(), + nullable=True) + batch_op.alter_column('data_source_type', + existing_type=sa.TEXT(), + nullable=True) + batch_op.alter_column('segment_id', + existing_type=sa.UUID(), + nullable=True) + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table('dataset_retriever_resources', schema=None) as batch_op: + batch_op.alter_column('segment_id', + existing_type=sa.UUID(), + nullable=False) + batch_op.alter_column('data_source_type', + existing_type=sa.TEXT(), + nullable=False) + batch_op.alter_column('document_id', + existing_type=sa.UUID(), + nullable=False) + + # ### end Alembic commands ### diff --git a/api/migrations/versions/2024_09_25_0434-33f5fac87f29_external_knowledge_api.py b/api/migrations/versions/2024_09_25_0434-33f5fac87f29_external_knowledge_api.py new file mode 100644 index 00000000000000..3cb76e72c1ebb2 --- /dev/null +++ b/api/migrations/versions/2024_09_25_0434-33f5fac87f29_external_knowledge_api.py @@ -0,0 +1,73 @@ +"""external_knowledge_api + +Revision ID: 33f5fac87f29 +Revises: 6af6a521a53e +Create Date: 2024-09-25 04:34:57.249436 + +""" +from alembic import op +import models as models +import sqlalchemy as sa +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = '33f5fac87f29' +down_revision = '6af6a521a53e' +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.create_table('external_knowledge_apis', + sa.Column('id', models.types.StringUUID(), server_default=sa.text('uuid_generate_v4()'), nullable=False), + sa.Column('name', sa.String(length=255), nullable=False), + sa.Column('description', sa.String(length=255), nullable=False), + sa.Column('tenant_id', models.types.StringUUID(), nullable=False), + sa.Column('settings', sa.Text(), nullable=True), + sa.Column('created_by', models.types.StringUUID(), nullable=False), + sa.Column('created_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False), + sa.Column('updated_by', models.types.StringUUID(), nullable=True), + sa.Column('updated_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False), + sa.PrimaryKeyConstraint('id', name='external_knowledge_apis_pkey') + ) + with op.batch_alter_table('external_knowledge_apis', schema=None) as batch_op: + batch_op.create_index('external_knowledge_apis_name_idx', ['name'], unique=False) + batch_op.create_index('external_knowledge_apis_tenant_idx', ['tenant_id'], unique=False) + + op.create_table('external_knowledge_bindings', + sa.Column('id', models.types.StringUUID(), server_default=sa.text('uuid_generate_v4()'), nullable=False), + sa.Column('tenant_id', models.types.StringUUID(), nullable=False), + sa.Column('external_knowledge_api_id', models.types.StringUUID(), nullable=False), + sa.Column('dataset_id', models.types.StringUUID(), nullable=False), + sa.Column('external_knowledge_id', sa.Text(), nullable=False), + sa.Column('created_by', models.types.StringUUID(), nullable=False), + sa.Column('created_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False), + sa.Column('updated_by', models.types.StringUUID(), nullable=True), + sa.Column('updated_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False), + sa.PrimaryKeyConstraint('id', name='external_knowledge_bindings_pkey') + ) + with op.batch_alter_table('external_knowledge_bindings', schema=None) as batch_op: + batch_op.create_index('external_knowledge_bindings_dataset_idx', ['dataset_id'], unique=False) + batch_op.create_index('external_knowledge_bindings_external_knowledge_api_idx', ['external_knowledge_api_id'], unique=False) + batch_op.create_index('external_knowledge_bindings_external_knowledge_idx', ['external_knowledge_id'], unique=False) + batch_op.create_index('external_knowledge_bindings_tenant_idx', ['tenant_id'], unique=False) + + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table('external_knowledge_bindings', schema=None) as batch_op: + batch_op.drop_index('external_knowledge_bindings_tenant_idx') + batch_op.drop_index('external_knowledge_bindings_external_knowledge_idx') + batch_op.drop_index('external_knowledge_bindings_external_knowledge_api_idx') + batch_op.drop_index('external_knowledge_bindings_dataset_idx') + + op.drop_table('external_knowledge_bindings') + with op.batch_alter_table('external_knowledge_apis', schema=None) as batch_op: + batch_op.drop_index('external_knowledge_apis_tenant_idx') + batch_op.drop_index('external_knowledge_apis_name_idx') + + op.drop_table('external_knowledge_apis') + # ### end Alembic commands ### diff --git a/api/migrations/versions/fca025d3b60f_add_dataset_retrival_model.py b/api/migrations/versions/fca025d3b60f_add_dataset_retrival_model.py index 1f8250c3eb42af..52495be60a62ea 100644 --- a/api/migrations/versions/fca025d3b60f_add_dataset_retrival_model.py +++ b/api/migrations/versions/fca025d3b60f_add_dataset_retrival_model.py @@ -1,4 +1,4 @@ -"""add-dataset-retrival-model +"""add-dataset-retrieval-model Revision ID: fca025d3b60f Revises: b3a09c049e8e diff --git a/api/models/dataset.py b/api/models/dataset.py index a2d2a3454d4931..4224ee5e9caddd 100644 --- a/api/models/dataset.py +++ b/api/models/dataset.py @@ -38,6 +38,7 @@ class Dataset(db.Model): ) INDEXING_TECHNIQUE_LIST = ["high_quality", "economy", None] + PROVIDER_LIST = ["vendor", "external", None] id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) tenant_id = db.Column(StringUUID, nullable=False) @@ -71,6 +72,14 @@ def dataset_keyword_table(self): def index_struct_dict(self): return json.loads(self.index_struct) if self.index_struct else None + @property + def external_retrieval_model(self): + default_retrieval_model = { + "top_k": 2, + "score_threshold": 0.0, + } + return self.retrieval_model or default_retrieval_model + @property def created_by_account(self): return db.session.get(Account, self.created_by) @@ -162,6 +171,29 @@ def tags(self): return tags or [] + @property + def external_knowledge_info(self): + if self.provider != "external": + return None + external_knowledge_binding = ( + db.session.query(ExternalKnowledgeBindings).filter(ExternalKnowledgeBindings.dataset_id == self.id).first() + ) + if not external_knowledge_binding: + return None + external_knowledge_api = ( + db.session.query(ExternalKnowledgeApis) + .filter(ExternalKnowledgeApis.id == external_knowledge_binding.external_knowledge_api_id) + .first() + ) + if not external_knowledge_api: + return None + return { + "external_knowledge_id": external_knowledge_binding.external_knowledge_id, + "external_knowledge_api_id": external_knowledge_api.id, + "external_knowledge_api_name": external_knowledge_api.name, + "external_knowledge_api_endpoint": json.loads(external_knowledge_api.settings).get("endpoint", ""), + } + @staticmethod def gen_collection_name_by_id(dataset_id: str) -> str: normalized_dataset_id = dataset_id.replace("-", "_") @@ -687,3 +719,77 @@ class DatasetPermission(db.Model): tenant_id = db.Column(StringUUID, nullable=False) has_permission = db.Column(db.Boolean, nullable=False, server_default=db.text("true")) created_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")) + + +class ExternalKnowledgeApis(db.Model): + __tablename__ = "external_knowledge_apis" + __table_args__ = ( + db.PrimaryKeyConstraint("id", name="external_knowledge_apis_pkey"), + db.Index("external_knowledge_apis_tenant_idx", "tenant_id"), + db.Index("external_knowledge_apis_name_idx", "name"), + ) + + id = db.Column(StringUUID, nullable=False, server_default=db.text("uuid_generate_v4()")) + name = db.Column(db.String(255), nullable=False) + description = db.Column(db.String(255), nullable=False) + tenant_id = db.Column(StringUUID, nullable=False) + settings = db.Column(db.Text, nullable=True) + created_by = db.Column(StringUUID, nullable=False) + created_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")) + updated_by = db.Column(StringUUID, nullable=True) + updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")) + + def to_dict(self): + return { + "id": self.id, + "tenant_id": self.tenant_id, + "name": self.name, + "description": self.description, + "settings": self.settings_dict, + "dataset_bindings": self.dataset_bindings, + "created_by": self.created_by, + "created_at": self.created_at.isoformat(), + } + + @property + def settings_dict(self): + try: + return json.loads(self.settings) if self.settings else None + except JSONDecodeError: + return None + + @property + def dataset_bindings(self): + external_knowledge_bindings = ( + db.session.query(ExternalKnowledgeBindings) + .filter(ExternalKnowledgeBindings.external_knowledge_api_id == self.id) + .all() + ) + dataset_ids = [binding.dataset_id for binding in external_knowledge_bindings] + datasets = db.session.query(Dataset).filter(Dataset.id.in_(dataset_ids)).all() + dataset_bindings = [] + for dataset in datasets: + dataset_bindings.append({"id": dataset.id, "name": dataset.name}) + + return dataset_bindings + + +class ExternalKnowledgeBindings(db.Model): + __tablename__ = "external_knowledge_bindings" + __table_args__ = ( + db.PrimaryKeyConstraint("id", name="external_knowledge_bindings_pkey"), + db.Index("external_knowledge_bindings_tenant_idx", "tenant_id"), + db.Index("external_knowledge_bindings_dataset_idx", "dataset_id"), + db.Index("external_knowledge_bindings_external_knowledge_idx", "external_knowledge_id"), + db.Index("external_knowledge_bindings_external_knowledge_api_idx", "external_knowledge_api_id"), + ) + + id = db.Column(StringUUID, nullable=False, server_default=db.text("uuid_generate_v4()")) + tenant_id = db.Column(StringUUID, nullable=False) + external_knowledge_api_id = db.Column(StringUUID, nullable=False) + dataset_id = db.Column(StringUUID, nullable=False) + external_knowledge_id = db.Column(db.Text, nullable=False) + created_by = db.Column(StringUUID, nullable=False) + created_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")) + updated_by = db.Column(StringUUID, nullable=True) + updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")) diff --git a/api/models/model.py b/api/models/model.py index 53940a5a16cc87..0ac93343217d44 100644 --- a/api/models/model.py +++ b/api/models/model.py @@ -1423,10 +1423,10 @@ class DatasetRetrieverResource(db.Model): position = db.Column(db.Integer, nullable=False) dataset_id = db.Column(StringUUID, nullable=False) dataset_name = db.Column(db.Text, nullable=False) - document_id = db.Column(StringUUID, nullable=False) + document_id = db.Column(StringUUID, nullable=True) document_name = db.Column(db.Text, nullable=False) - data_source_type = db.Column(db.Text, nullable=False) - segment_id = db.Column(StringUUID, nullable=False) + data_source_type = db.Column(db.Text, nullable=True) + segment_id = db.Column(StringUUID, nullable=True) score = db.Column(db.Float, nullable=True) content = db.Column(db.Text, nullable=False) hit_count = db.Column(db.Integer, nullable=True) diff --git a/api/poetry.lock b/api/poetry.lock index 85c68cd75f1292..4fb8d54f118528 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -2,13 +2,13 @@ [[package]] name = "aiohappyeyeballs" -version = "2.4.0" +version = "2.4.2" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.8" files = [ - {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"}, - {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"}, + {file = "aiohappyeyeballs-2.4.2-py3-none-any.whl", hash = "sha256:8522691d9a154ba1145b157d6d5c15e5c692527ce6a53c5e5f9876977f6dab2f"}, + {file = "aiohappyeyeballs-2.4.2.tar.gz", hash = "sha256:4ca893e6c5c1f5bf3888b04cb5a3bee24995398efef6e0b9f747b5e89d84fd74"}, ] [[package]] @@ -153,13 +153,13 @@ frozenlist = ">=1.1.0" [[package]] name = "alembic" -version = "1.13.2" +version = "1.13.3" description = "A database migration tool for SQLAlchemy." optional = false python-versions = ">=3.8" files = [ - {file = "alembic-1.13.2-py3-none-any.whl", hash = "sha256:6b8733129a6224a9a711e17c99b08462dbf7cc9670ba8f2e2ae9af860ceb1953"}, - {file = "alembic-1.13.2.tar.gz", hash = "sha256:1ff0ae32975f4fd96028c39ed9bb3c867fe3af956bd7bb37343b54c9fe7445ef"}, + {file = "alembic-1.13.3-py3-none-any.whl", hash = "sha256:908e905976d15235fae59c9ac42c4c5b75cfcefe3d27c0fbf7ae15a37715d80e"}, + {file = "alembic-1.13.3.tar.gz", hash = "sha256:203503117415561e203aa14541740643a611f641517f0209fcae63e9fa09f1a2"}, ] [package.dependencies] @@ -293,13 +293,13 @@ alibabacloud-tea = "*" [[package]] name = "alibabacloud-tea" -version = "0.3.9" +version = "0.3.10" description = "The tea module of alibabaCloud Python SDK." optional = false python-versions = ">=3.6" files = [ - {file = "alibabacloud-tea-0.3.9.tar.gz", hash = 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= "arxiv" @@ -698,23 +698,23 @@ msrest = ">=0.6.21" [[package]] name = "azure-storage-file-share" -version = "12.17.0" +version = "12.18.0" description = "Microsoft Azure Azure File Share Storage Client Library for Python" optional = false python-versions = ">=3.8" files = [ - {file = "azure-storage-file-share-12.17.0.tar.gz", hash = "sha256:f7b2c6cfc1b7cb80097a53b1ed2efa9e545b49a291430d369cdb49fafbc841d6"}, - {file = "azure_storage_file_share-12.17.0-py3-none-any.whl", hash = "sha256:c4652759a9d529bf08881bb53275bf38774bb643746b849d27c47118f9cf923d"}, + {file = "azure_storage_file_share-12.18.0-py3-none-any.whl", hash = "sha256:23ca35206a0cb8af0decd9d1363d0ad8ab31584a5e55cfc64528d7192ff748a9"}, + {file = "azure_storage_file_share-12.18.0.tar.gz", hash = "sha256:0a81daee5e13598accde3c73b1aeccc6edfdcec5e957bf40150c0622fb95dc76"}, ] [package.dependencies] -azure-core = ">=1.28.0" +azure-core = ">=1.30.0" cryptography = ">=2.1.4" isodate = ">=0.6.1" typing-extensions = ">=4.6.0" [package.extras] -aio = ["azure-core[aio] (>=1.28.0)"] +aio = ["azure-core[aio] (>=1.30.0)"] [[package]] name = "backoff" @@ -787,13 +787,13 @@ lxml = ["lxml"] [[package]] name = "billiard" -version = "4.2.0" +version = "4.2.1" description = "Python multiprocessing fork with improvements and bugfixes" optional = false python-versions = ">=3.7" files = [ - {file = "billiard-4.2.0-py3-none-any.whl", hash = "sha256:07aa978b308f334ff8282bd4a746e681b3513db5c9a514cbdd810cbbdc19714d"}, - {file = "billiard-4.2.0.tar.gz", hash = "sha256:9a3c3184cb275aa17a732f93f65b20c525d3d9f253722d26a82194803ade5a2c"}, + {file = "billiard-4.2.1-py3-none-any.whl", hash = "sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb"}, + {file = "billiard-4.2.1.tar.gz", hash = "sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f"}, ] [[package]] @@ -828,13 +828,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.35.19" +version = "1.35.29" 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Use field properties with initial values. Construct a dataclass schema with JSON input." optional = false python-versions = "*" files = [ - {file = "dataclass-wizard-0.22.3.tar.gz", hash = "sha256:4c46591782265058f1148cfd1f54a3a91221e63986fdd04c9d59f4ced61f4424"}, - {file = "dataclass_wizard-0.22.3-py2.py3-none-any.whl", hash = "sha256:63751203e54b9b9349212cc185331da73c1adc99c51312575eb73bb5c00c1962"}, + {file = "dataclass-wizard-0.23.0.tar.gz", hash = "sha256:da29ec19846d46a1eef0692ba7c59c8a86ecd3a9eaddc0511cfc7485ad6d9c50"}, + {file = "dataclass_wizard-0.23.0-py2.py3-none-any.whl", hash = "sha256:50207dec6d36494421366b49b7a9ba6a4d831e2650c0af25cb4c057103d4a97c"}, ] [package.extras] @@ -2164,13 +2164,13 @@ dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"] [[package]] name = "dill" -version = "0.3.8" +version = "0.3.9" description = "serialize all of Python" optional = false python-versions = ">=3.8" files = [ - {file = "dill-0.3.8-py3-none-any.whl", hash = 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b/api/schedule/clean_unused_messages_task.py new file mode 100644 index 00000000000000..85e6a58a0e90c7 --- /dev/null +++ b/api/schedule/clean_unused_messages_task.py @@ -0,0 +1,92 @@ +import datetime +import time + +import click +from sqlalchemy import func +from werkzeug.exceptions import NotFound + +import app +from configs import dify_config +from core.rag.index_processor.index_processor_factory import IndexProcessorFactory +from extensions.ext_database import db +from models.dataset import Dataset, DatasetQuery, Document + + +@app.celery.task(queue="dataset") +def clean_unused_message_task(): + click.echo(click.style("Start clean unused messages .", fg="green")) + clean_days = int(dify_config.CLEAN_DAY_SETTING) + start_at = time.perf_counter() + thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days) + page = 1 + while True: + try: + # Subquery for counting new documents + document_subquery_new = ( + db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) + .filter( + Document.indexing_status == "completed", + Document.enabled == True, + Document.archived == False, + Document.updated_at > thirty_days_ago, + ) + .group_by(Document.dataset_id) + .subquery() + ) + + # Subquery for counting old documents + document_subquery_old = ( + db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) + .filter( + Document.indexing_status == "completed", + Document.enabled == True, + Document.archived == False, + Document.updated_at < thirty_days_ago, + ) + .group_by(Document.dataset_id) + .subquery() + ) + + # Main query with join and filter + datasets = ( + db.session.query(Dataset) + .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id) + .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id) + .filter( + Dataset.created_at < thirty_days_ago, + func.coalesce(document_subquery_new.c.document_count, 0) == 0, + func.coalesce(document_subquery_old.c.document_count, 0) > 0, + ) + .order_by(Dataset.created_at.desc()) + .paginate(page=page, per_page=50) + ) + + except NotFound: + break + if datasets.items is None or len(datasets.items) == 0: + break + page += 1 + for dataset in datasets: + dataset_query = ( + db.session.query(DatasetQuery) + .filter(DatasetQuery.created_at > thirty_days_ago, DatasetQuery.dataset_id == dataset.id) + .all() + ) + if not dataset_query or len(dataset_query) == 0: + try: + # remove index + index_processor = IndexProcessorFactory(dataset.doc_form).init_index_processor() + index_processor.clean(dataset, None) + + # update document + update_params = {Document.enabled: False} + + Document.query.filter_by(dataset_id=dataset.id).update(update_params) + db.session.commit() + click.echo(click.style("Cleaned unused dataset {} from db success!".format(dataset.id), fg="green")) + except Exception as e: + click.echo( + click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red") + ) + end_at = time.perf_counter() + click.echo(click.style("Cleaned unused dataset from db success latency: {}".format(end_at - start_at), fg="green")) diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index e96f06ed40fa4f..c165def6d5c1ed 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -32,6 +32,7 @@ DatasetQuery, Document, DocumentSegment, + ExternalKnowledgeBindings, ) from models.model import UploadFile from models.source import DataSourceOauthBinding @@ -39,6 +40,7 @@ from services.errors.dataset import DatasetNameDuplicateError from services.errors.document import DocumentIndexingError from services.errors.file import FileNotExistsError +from services.external_knowledge_service import ExternalDatasetService from services.feature_service import FeatureModel, FeatureService from services.tag_service import TagService from services.vector_service import VectorService @@ -56,10 +58,8 @@ class DatasetService: @staticmethod - def get_datasets(page, per_page, provider="vendor", tenant_id=None, user=None, search=None, tag_ids=None): - query = Dataset.query.filter(Dataset.provider == provider, Dataset.tenant_id == tenant_id).order_by( - Dataset.created_at.desc() - ) + def get_datasets(page, per_page, tenant_id=None, user=None, search=None, tag_ids=None): + query = Dataset.query.filter(Dataset.tenant_id == tenant_id).order_by(Dataset.created_at.desc()) if user: # get permitted dataset ids @@ -137,7 +137,14 @@ def get_datasets_by_ids(ids, tenant_id): @staticmethod def create_empty_dataset( - tenant_id: str, name: str, indexing_technique: Optional[str], account: Account, permission: Optional[str] = None + tenant_id: str, + name: str, + indexing_technique: Optional[str], + account: Account, + permission: Optional[str] = None, + provider: str = "vendor", + external_knowledge_api_id: Optional[str] = None, + external_knowledge_id: Optional[str] = None, ): # check if dataset name already exists if Dataset.query.filter_by(name=name, tenant_id=tenant_id).first(): @@ -156,12 +163,28 @@ def create_empty_dataset( dataset.embedding_model_provider = embedding_model.provider if embedding_model else None dataset.embedding_model = embedding_model.model if embedding_model else None dataset.permission = permission or DatasetPermissionEnum.ONLY_ME + dataset.provider = provider db.session.add(dataset) + db.session.flush() + + if provider == "external" and external_knowledge_api_id: + external_knowledge_api = ExternalDatasetService.get_external_knowledge_api(external_knowledge_api_id) + if not external_knowledge_api: + raise ValueError("External API template not found.") + external_knowledge_binding = ExternalKnowledgeBindings( + tenant_id=tenant_id, + dataset_id=dataset.id, + external_knowledge_api_id=external_knowledge_api_id, + external_knowledge_id=external_knowledge_id, + created_by=account.id, + ) + db.session.add(external_knowledge_binding) + db.session.commit() return dataset @staticmethod - def get_dataset(dataset_id): + def get_dataset(dataset_id) -> Dataset: return Dataset.query.filter_by(id=dataset_id).first() @staticmethod @@ -202,81 +225,103 @@ def check_embedding_model_setting(tenant_id: str, embedding_model_provider: str, @staticmethod def update_dataset(dataset_id, data, user): - data.pop("partial_member_list", None) - filtered_data = {k: v for k, v in data.items() if v is not None or k == "description"} dataset = DatasetService.get_dataset(dataset_id) + DatasetService.check_dataset_permission(dataset, user) - action = None - if dataset.indexing_technique != data["indexing_technique"]: - # if update indexing_technique - if data["indexing_technique"] == "economy": - action = "remove" - filtered_data["embedding_model"] = None - filtered_data["embedding_model_provider"] = None - filtered_data["collection_binding_id"] = None - elif data["indexing_technique"] == "high_quality": - action = "add" - # get embedding model setting - try: - model_manager = ModelManager() - embedding_model = model_manager.get_model_instance( - tenant_id=current_user.current_tenant_id, - provider=data["embedding_model_provider"], - model_type=ModelType.TEXT_EMBEDDING, - model=data["embedding_model"], - ) - filtered_data["embedding_model"] = embedding_model.model - filtered_data["embedding_model_provider"] = embedding_model.provider - dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding( - embedding_model.provider, embedding_model.model - ) - filtered_data["collection_binding_id"] = dataset_collection_binding.id - except LLMBadRequestError: - raise ValueError( - "No Embedding Model available. Please configure a valid provider " - "in the Settings -> Model Provider." - ) - except ProviderTokenNotInitError as ex: - raise ValueError(ex.description) - else: + if dataset.provider == "external": + dataset.retrieval_model = data.get("external_retrieval_model", None) + dataset.name = data.get("name", dataset.name) + dataset.description = data.get("description", "") + external_knowledge_id = data.get("external_knowledge_id", None) + db.session.add(dataset) + if not external_knowledge_id: + raise ValueError("External knowledge id is required.") + external_knowledge_api_id = data.get("external_knowledge_api_id", None) + if not external_knowledge_api_id: + raise ValueError("External knowledge api id is required.") + external_knowledge_binding = ExternalKnowledgeBindings.query.filter_by(dataset_id=dataset_id).first() if ( - data["embedding_model_provider"] != dataset.embedding_model_provider - or data["embedding_model"] != dataset.embedding_model + external_knowledge_binding.external_knowledge_id != external_knowledge_id + or external_knowledge_binding.external_knowledge_api_id != external_knowledge_api_id ): - action = "update" - try: - model_manager = ModelManager() - embedding_model = model_manager.get_model_instance( - tenant_id=current_user.current_tenant_id, - provider=data["embedding_model_provider"], - model_type=ModelType.TEXT_EMBEDDING, - model=data["embedding_model"], - ) - filtered_data["embedding_model"] = embedding_model.model - filtered_data["embedding_model_provider"] = embedding_model.provider - dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding( - embedding_model.provider, embedding_model.model - ) - filtered_data["collection_binding_id"] = dataset_collection_binding.id - except LLMBadRequestError: - raise ValueError( - "No Embedding Model available. Please configure a valid provider " - "in the Settings -> Model Provider." - ) - except ProviderTokenNotInitError as ex: - raise ValueError(ex.description) + external_knowledge_binding.external_knowledge_id = external_knowledge_id + external_knowledge_binding.external_knowledge_api_id = external_knowledge_api_id + db.session.add(external_knowledge_binding) + db.session.commit() + else: + data.pop("partial_member_list", None) + filtered_data = {k: v for k, v in data.items() if v is not None or k == "description"} + action = None + if dataset.indexing_technique != data["indexing_technique"]: + # if update indexing_technique + if data["indexing_technique"] == "economy": + action = "remove" + filtered_data["embedding_model"] = None + filtered_data["embedding_model_provider"] = None + filtered_data["collection_binding_id"] = None + elif data["indexing_technique"] == "high_quality": + action = "add" + # get embedding model setting + try: + model_manager = ModelManager() + embedding_model = model_manager.get_model_instance( + tenant_id=current_user.current_tenant_id, + provider=data["embedding_model_provider"], + model_type=ModelType.TEXT_EMBEDDING, + model=data["embedding_model"], + ) + filtered_data["embedding_model"] = embedding_model.model + filtered_data["embedding_model_provider"] = embedding_model.provider + dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding( + embedding_model.provider, embedding_model.model + ) + filtered_data["collection_binding_id"] = dataset_collection_binding.id + except LLMBadRequestError: + raise ValueError( + "No Embedding Model available. Please configure a valid provider " + "in the Settings -> Model Provider." + ) + except ProviderTokenNotInitError as ex: + raise ValueError(ex.description) + else: + if ( + data["embedding_model_provider"] != dataset.embedding_model_provider + or data["embedding_model"] != dataset.embedding_model + ): + action = "update" + try: + model_manager = ModelManager() + embedding_model = model_manager.get_model_instance( + tenant_id=current_user.current_tenant_id, + provider=data["embedding_model_provider"], + model_type=ModelType.TEXT_EMBEDDING, + model=data["embedding_model"], + ) + filtered_data["embedding_model"] = embedding_model.model + filtered_data["embedding_model_provider"] = embedding_model.provider + dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding( + embedding_model.provider, embedding_model.model + ) + filtered_data["collection_binding_id"] = dataset_collection_binding.id + except LLMBadRequestError: + raise ValueError( + "No Embedding Model available. Please configure a valid provider " + "in the Settings -> Model Provider." + ) + except ProviderTokenNotInitError as ex: + raise ValueError(ex.description) - filtered_data["updated_by"] = user.id - filtered_data["updated_at"] = datetime.datetime.now() + filtered_data["updated_by"] = user.id + filtered_data["updated_at"] = datetime.datetime.now() - # update Retrieval model - filtered_data["retrieval_model"] = data["retrieval_model"] + # update Retrieval model + filtered_data["retrieval_model"] = data["retrieval_model"] - dataset.query.filter_by(id=dataset_id).update(filtered_data) + dataset.query.filter_by(id=dataset_id).update(filtered_data) - db.session.commit() - if action: - deal_dataset_vector_index_task.delay(dataset_id, action) + db.session.commit() + if action: + deal_dataset_vector_index_task.delay(dataset_id, action) return dataset @staticmethod diff --git a/api/services/entities/external_knowledge_entities/external_knowledge_entities.py b/api/services/entities/external_knowledge_entities/external_knowledge_entities.py new file mode 100644 index 00000000000000..4545f385eb9891 --- /dev/null +++ b/api/services/entities/external_knowledge_entities/external_knowledge_entities.py @@ -0,0 +1,26 @@ +from typing import Literal, Optional, Union + +from pydantic import BaseModel + + +class AuthorizationConfig(BaseModel): + type: Literal[None, "basic", "bearer", "custom"] + api_key: Union[None, str] = None + header: Union[None, str] = None + + +class Authorization(BaseModel): + type: Literal["no-auth", "api-key"] + config: Optional[AuthorizationConfig] = None + + +class ProcessStatusSetting(BaseModel): + request_method: str + url: str + + +class ExternalKnowledgeApiSetting(BaseModel): + url: str + request_method: str + headers: Optional[dict] = None + params: Optional[dict] = None diff --git a/api/services/external_knowledge_service.py b/api/services/external_knowledge_service.py new file mode 100644 index 00000000000000..4efdf8d7dbe75b --- /dev/null +++ b/api/services/external_knowledge_service.py @@ -0,0 +1,274 @@ +import json +from copy import deepcopy +from datetime import datetime, timezone +from typing import Any, Optional, Union + +import httpx +import validators + +# from tasks.external_document_indexing_task import external_document_indexing_task +from core.helper import ssrf_proxy +from extensions.ext_database import db +from models.dataset import ( + Dataset, + ExternalKnowledgeApis, + ExternalKnowledgeBindings, +) +from services.entities.external_knowledge_entities.external_knowledge_entities import ( + Authorization, + ExternalKnowledgeApiSetting, +) +from services.errors.dataset import DatasetNameDuplicateError + + +class ExternalDatasetService: + @staticmethod + def get_external_knowledge_apis(page, per_page, tenant_id, search=None) -> tuple[list[ExternalKnowledgeApis], int]: + query = ExternalKnowledgeApis.query.filter(ExternalKnowledgeApis.tenant_id == tenant_id).order_by( + ExternalKnowledgeApis.created_at.desc() + ) + if search: + query = query.filter(ExternalKnowledgeApis.name.ilike(f"%{search}%")) + + external_knowledge_apis = query.paginate(page=page, per_page=per_page, max_per_page=100, error_out=False) + + return external_knowledge_apis.items, external_knowledge_apis.total + + @classmethod + def validate_api_list(cls, api_settings: dict): + if not api_settings: + raise ValueError("api list is empty") + if "endpoint" not in api_settings and not api_settings["endpoint"]: + raise ValueError("endpoint is required") + if "api_key" not in api_settings and not api_settings["api_key"]: + raise ValueError("api_key is required") + + @staticmethod + def create_external_knowledge_api(tenant_id: str, user_id: str, args: dict) -> ExternalKnowledgeApis: + ExternalDatasetService.check_endpoint_and_api_key(args.get("settings")) + external_knowledge_api = ExternalKnowledgeApis( + tenant_id=tenant_id, + created_by=user_id, + updated_by=user_id, + name=args.get("name"), + description=args.get("description", ""), + settings=json.dumps(args.get("settings"), ensure_ascii=False), + ) + + db.session.add(external_knowledge_api) + db.session.commit() + return external_knowledge_api + + @staticmethod + def check_endpoint_and_api_key(settings: dict): + if "endpoint" not in settings or not settings["endpoint"]: + raise ValueError("endpoint is required") + if "api_key" not in settings or not settings["api_key"]: + raise ValueError("api_key is required") + + endpoint = f"{settings['endpoint']}/retrieval" + api_key = settings["api_key"] + if not validators.url(endpoint): + raise ValueError(f"invalid endpoint: {endpoint}") + try: + response = httpx.post(endpoint, headers={"Authorization": f"Bearer {api_key}"}) + except Exception as e: + raise ValueError(f"failed to connect to the endpoint: {endpoint}") + if response.status_code == 502: + raise ValueError(f"Bad Gateway: failed to connect to the endpoint: {endpoint}") + if response.status_code == 404: + raise ValueError(f"Not Found: failed to connect to the endpoint: {endpoint}") + if response.status_code == 403: + raise ValueError(f"Forbidden: Authorization failed with api_key: {api_key}") + + @staticmethod + def get_external_knowledge_api(external_knowledge_api_id: str) -> ExternalKnowledgeApis: + return ExternalKnowledgeApis.query.filter_by(id=external_knowledge_api_id).first() + + @staticmethod + def update_external_knowledge_api(tenant_id, user_id, external_knowledge_api_id, args) -> ExternalKnowledgeApis: + external_knowledge_api = ExternalKnowledgeApis.query.filter_by( + id=external_knowledge_api_id, tenant_id=tenant_id + ).first() + if external_knowledge_api is None: + raise ValueError("api template not found") + + external_knowledge_api.name = args.get("name") + external_knowledge_api.description = args.get("description", "") + external_knowledge_api.settings = json.dumps(args.get("settings"), ensure_ascii=False) + external_knowledge_api.updated_by = user_id + external_knowledge_api.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) + db.session.commit() + + return external_knowledge_api + + @staticmethod + def delete_external_knowledge_api(tenant_id: str, external_knowledge_api_id: str): + external_knowledge_api = ExternalKnowledgeApis.query.filter_by( + id=external_knowledge_api_id, tenant_id=tenant_id + ).first() + if external_knowledge_api is None: + raise ValueError("api template not found") + + db.session.delete(external_knowledge_api) + db.session.commit() + + @staticmethod + def external_knowledge_api_use_check(external_knowledge_api_id: str) -> tuple[bool, int]: + count = ExternalKnowledgeBindings.query.filter_by(external_knowledge_api_id=external_knowledge_api_id).count() + if count > 0: + return True, count + return False, 0 + + @staticmethod + def get_external_knowledge_binding_with_dataset_id(tenant_id: str, dataset_id: str) -> ExternalKnowledgeBindings: + external_knowledge_binding = ExternalKnowledgeBindings.query.filter_by( + dataset_id=dataset_id, tenant_id=tenant_id + ).first() + if not external_knowledge_binding: + raise ValueError("external knowledge binding not found") + return external_knowledge_binding + + @staticmethod + def document_create_args_validate(tenant_id: str, external_knowledge_api_id: str, process_parameter: dict): + external_knowledge_api = ExternalKnowledgeApis.query.filter_by( + id=external_knowledge_api_id, tenant_id=tenant_id + ).first() + if external_knowledge_api is None: + raise ValueError("api template not found") + settings = json.loads(external_knowledge_api.settings) + for setting in settings: + custom_parameters = setting.get("document_process_setting") + if custom_parameters: + for parameter in custom_parameters: + if parameter.get("required", False) and not process_parameter.get(parameter.get("name")): + raise ValueError(f'{parameter.get("name")} is required') + + @staticmethod + def process_external_api( + settings: ExternalKnowledgeApiSetting, files: Union[None, dict[str, Any]] + ) -> httpx.Response: + """ + do http request depending on api bundle + """ + + kwargs = { + "url": settings.url, + "headers": settings.headers, + "follow_redirects": True, + } + + response = getattr(ssrf_proxy, settings.request_method)(data=json.dumps(settings.params), files=files, **kwargs) + + return response + + @staticmethod + def assembling_headers(authorization: Authorization, headers: Optional[dict] = None) -> dict[str, Any]: + authorization = deepcopy(authorization) + if headers: + headers = deepcopy(headers) + else: + headers = {} + if authorization.type == "api-key": + if authorization.config is None: + raise ValueError("authorization config is required") + + if authorization.config.api_key is None: + raise ValueError("api_key is required") + + if not authorization.config.header: + authorization.config.header = "Authorization" + + if authorization.config.type == "bearer": + headers[authorization.config.header] = f"Bearer {authorization.config.api_key}" + elif authorization.config.type == "basic": + headers[authorization.config.header] = f"Basic {authorization.config.api_key}" + elif authorization.config.type == "custom": + headers[authorization.config.header] = authorization.config.api_key + + return headers + + @staticmethod + def get_external_knowledge_api_settings(settings: dict) -> ExternalKnowledgeApiSetting: + return ExternalKnowledgeApiSetting.parse_obj(settings) + + @staticmethod + def create_external_dataset(tenant_id: str, user_id: str, args: dict) -> Dataset: + # check if dataset name already exists + if Dataset.query.filter_by(name=args.get("name"), tenant_id=tenant_id).first(): + raise DatasetNameDuplicateError(f"Dataset with name {args.get('name')} already exists.") + external_knowledge_api = ExternalKnowledgeApis.query.filter_by( + id=args.get("external_knowledge_api_id"), tenant_id=tenant_id + ).first() + + if external_knowledge_api is None: + raise ValueError("api template not found") + + dataset = Dataset( + tenant_id=tenant_id, + name=args.get("name"), + description=args.get("description", ""), + provider="external", + retrieval_model=args.get("external_retrieval_model"), + created_by=user_id, + ) + + db.session.add(dataset) + db.session.flush() + + external_knowledge_binding = ExternalKnowledgeBindings( + tenant_id=tenant_id, + dataset_id=dataset.id, + external_knowledge_api_id=args.get("external_knowledge_api_id"), + external_knowledge_id=args.get("external_knowledge_id"), + created_by=user_id, + ) + db.session.add(external_knowledge_binding) + + db.session.commit() + + return dataset + + @staticmethod + def fetch_external_knowledge_retrieval( + tenant_id: str, dataset_id: str, query: str, external_retrieval_parameters: dict + ) -> list: + external_knowledge_binding = ExternalKnowledgeBindings.query.filter_by( + dataset_id=dataset_id, tenant_id=tenant_id + ).first() + if not external_knowledge_binding: + raise ValueError("external knowledge binding not found") + + external_knowledge_api = ExternalKnowledgeApis.query.filter_by( + id=external_knowledge_binding.external_knowledge_api_id + ).first() + if not external_knowledge_api: + raise ValueError("external api template not found") + + settings = json.loads(external_knowledge_api.settings) + headers = {"Content-Type": "application/json"} + if settings.get("api_key"): + headers["Authorization"] = f"Bearer {settings.get('api_key')}" + score_threshold_enabled = external_retrieval_parameters.get("score_threshold_enabled") or False + score_threshold = external_retrieval_parameters.get("score_threshold", 0.0) if score_threshold_enabled else 0.0 + request_params = { + "retrieval_setting": { + "top_k": external_retrieval_parameters.get("top_k"), + "score_threshold": score_threshold, + }, + "query": query, + "knowledge_id": external_knowledge_binding.external_knowledge_id, + } + + external_knowledge_api_setting = { + "url": f"{settings.get('endpoint')}/retrieval", + "request_method": "post", + "headers": headers, + "params": request_params, + } + response = ExternalDatasetService.process_external_api( + ExternalKnowledgeApiSetting(**external_knowledge_api_setting), None + ) + if response.status_code == 200: + return response.json().get("records", []) + return [] diff --git a/api/services/hit_testing_service.py b/api/services/hit_testing_service.py index 3dafafd5b46f6c..7957b4dc82dfd4 100644 --- a/api/services/hit_testing_service.py +++ b/api/services/hit_testing_service.py @@ -19,7 +19,15 @@ class HitTestingService: @classmethod - def retrieve(cls, dataset: Dataset, query: str, account: Account, retrieval_model: dict, limit: int = 10) -> dict: + def retrieve( + cls, + dataset: Dataset, + query: str, + account: Account, + retrieval_model: dict, + external_retrieval_model: dict, + limit: int = 10, + ) -> dict: if dataset.available_document_count == 0 or dataset.available_segment_count == 0: return { "query": { @@ -62,10 +70,44 @@ def retrieve(cls, dataset: Dataset, query: str, account: Account, retrieval_mode return cls.compact_retrieve_response(dataset, query, all_documents) + @classmethod + def external_retrieve( + cls, + dataset: Dataset, + query: str, + account: Account, + external_retrieval_model: dict, + ) -> dict: + if dataset.provider != "external": + return { + "query": {"content": query}, + "records": [], + } + + start = time.perf_counter() + + all_documents = RetrievalService.external_retrieve( + dataset_id=dataset.id, + query=cls.escape_query_for_search(query), + external_retrieval_model=external_retrieval_model, + ) + + end = time.perf_counter() + logging.debug(f"External knowledge hit testing retrieve in {end - start:0.4f} seconds") + + dataset_query = DatasetQuery( + dataset_id=dataset.id, content=query, source="hit_testing", created_by_role="account", created_by=account.id + ) + + db.session.add(dataset_query) + db.session.commit() + + return cls.compact_external_retrieve_response(dataset, query, all_documents) + @classmethod def compact_retrieve_response(cls, dataset: Dataset, query: str, documents: list[Document]): - i = 0 records = [] + for document in documents: index_node_id = document.metadata["doc_id"] @@ -81,7 +123,6 @@ def compact_retrieve_response(cls, dataset: Dataset, query: str, documents: list ) if not segment: - i += 1 continue record = { @@ -91,8 +132,6 @@ def compact_retrieve_response(cls, dataset: Dataset, query: str, documents: list records.append(record) - i += 1 - return { "query": { "content": query, @@ -100,6 +139,25 @@ def compact_retrieve_response(cls, dataset: Dataset, query: str, documents: list "records": records, } + @classmethod + def compact_external_retrieve_response(cls, dataset: Dataset, query: str, documents: list): + records = [] + if dataset.provider == "external": + for document in documents: + record = { + "content": document.get("content", None), + "title": document.get("title", None), + "score": document.get("score", None), + "metadata": document.get("metadata", None), + } + records.append(record) + return { + "query": { + "content": query, + }, + "records": records, + } + @classmethod def hit_testing_args_check(cls, args): query = args["query"] diff --git a/api/tasks/external_document_indexing_task.py b/api/tasks/external_document_indexing_task.py new file mode 100644 index 00000000000000..6fc719ae8d085a --- /dev/null +++ b/api/tasks/external_document_indexing_task.py @@ -0,0 +1,93 @@ +import json +import logging +import time + +import click +from celery import shared_task + +from core.indexing_runner import DocumentIsPausedException +from extensions.ext_database import db +from extensions.ext_storage import storage +from models.dataset import Dataset, ExternalKnowledgeApis +from models.model import UploadFile +from services.external_knowledge_service import ExternalDatasetService + + +@shared_task(queue="dataset") +def external_document_indexing_task( + dataset_id: str, external_knowledge_api_id: str, data_source: dict, process_parameter: dict +): + """ + Async process document + :param dataset_id: + :param external_knowledge_api_id: + :param data_source: + :param process_parameter: + Usage: external_document_indexing_task.delay(dataset_id, document_id) + """ + start_at = time.perf_counter() + + dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() + if not dataset: + logging.info( + click.style("Processed external dataset: {} failed, dataset not exit.".format(dataset_id), fg="red") + ) + return + + # get external api template + external_knowledge_api = ( + db.session.query(ExternalKnowledgeApis) + .filter( + ExternalKnowledgeApis.id == external_knowledge_api_id, ExternalKnowledgeApis.tenant_id == dataset.tenant_id + ) + .first() + ) + + if not external_knowledge_api: + logging.info( + click.style( + "Processed external dataset: {} failed, api template: {} not exit.".format( + dataset_id, external_knowledge_api_id + ), + fg="red", + ) + ) + return + files = {} + if data_source["type"] == "upload_file": + upload_file_list = data_source["info_list"]["file_info_list"]["file_ids"] + for file_id in upload_file_list: + file = ( + db.session.query(UploadFile) + .filter(UploadFile.tenant_id == dataset.tenant_id, UploadFile.id == file_id) + .first() + ) + if file: + files[file.id] = (file.name, storage.load_once(file.key), file.mime_type) + try: + settings = ExternalDatasetService.get_external_knowledge_api_settings( + json.loads(external_knowledge_api.settings) + ) + # assemble headers + headers = ExternalDatasetService.assembling_headers(settings.authorization, settings.headers) + + # do http request + response = ExternalDatasetService.process_external_api(settings, headers, process_parameter, files) + job_id = response.json().get("job_id") + if job_id: + # save job_id to dataset + dataset.job_id = job_id + db.session.commit() + + end_at = time.perf_counter() + logging.info( + click.style( + "Processed external dataset: {} successful, latency: {}".format(dataset.id, end_at - start_at), + fg="green", + ) + ) + except DocumentIsPausedException as ex: + logging.info(click.style(str(ex), fg="yellow")) + + except Exception: + pass diff --git a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx index e691cc05f63262..a58027bcd12e02 100644 --- a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx +++ b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx @@ -1,6 +1,6 @@ 'use client' import type { FC, SVGProps } from 'react' -import React, { useEffect } from 'react' +import React, { useEffect, useMemo } from 'react' import { usePathname } from 'next/navigation' import useSWR from 'swr' import { useTranslation } from 'react-i18next' @@ -203,12 +203,23 @@ const DatasetDetailLayout: FC = (props) => { datasetId, }, apiParams => fetchDatasetRelatedApps(apiParams.datasetId)) - const navigation = [ - { name: t('common.datasetMenus.documents'), href: `/datasets/${datasetId}/documents`, icon: DocumentTextIcon, selectedIcon: DocumentTextSolidIcon }, - { name: t('common.datasetMenus.hitTesting'), href: `/datasets/${datasetId}/hitTesting`, icon: TargetIcon, selectedIcon: TargetSolidIcon }, - // { name: 'api & webhook', href: `/datasets/${datasetId}/api`, icon: CommandLineIcon, selectedIcon: CommandLineSolidIcon }, - { name: t('common.datasetMenus.settings'), href: `/datasets/${datasetId}/settings`, icon: Cog8ToothIcon, selectedIcon: Cog8ToothSolidIcon }, - ] + const navigation = useMemo(() => { + const baseNavigation = [ + { name: t('common.datasetMenus.hitTesting'), href: `/datasets/${datasetId}/hitTesting`, icon: TargetIcon, selectedIcon: TargetSolidIcon }, + // { name: 'api & webhook', href: `/datasets/${datasetId}/api`, icon: CommandLineIcon, selectedIcon: CommandLineSolidIcon }, + { name: t('common.datasetMenus.settings'), href: `/datasets/${datasetId}/settings`, icon: Cog8ToothIcon, selectedIcon: Cog8ToothSolidIcon }, + ] + + if (datasetRes?.provider !== 'external') { + baseNavigation.unshift({ + name: t('common.datasetMenus.documents'), + href: `/datasets/${datasetId}/documents`, + icon: DocumentTextIcon, + selectedIcon: DocumentTextSolidIcon, + }) + } + return baseNavigation + }, [datasetRes?.provider, datasetId, t]) useEffect(() => { if (datasetRes) @@ -233,6 +244,7 @@ const DatasetDetailLayout: FC = (props) => { icon={datasetRes?.icon || 'https://static.dify.ai/images/dataset-default-icon.png'} icon_background={datasetRes?.icon_background || '#F5F5F5'} desc={datasetRes?.description || '--'} + isExternal={datasetRes?.provider === 'external'} navigation={navigation} extraInfo={!isCurrentWorkspaceDatasetOperator ? mode => : undefined} iconType={datasetRes?.data_source_type === DataSourceType.NOTION ? 'notion' : 'dataset'} diff --git a/web/app/(commonLayout)/datasets/Container.tsx b/web/app/(commonLayout)/datasets/Container.tsx index f532ca416fc243..e350a853543733 100644 --- a/web/app/(commonLayout)/datasets/Container.tsx +++ b/web/app/(commonLayout)/datasets/Container.tsx @@ -8,6 +8,7 @@ import { useDebounceFn } from 'ahooks' import useSWR from 'swr' // Components +import ExternalAPIPanel from '../../components/datasets/external-api/external-api-panel' import Datasets from './Datasets' import DatasetFooter from './DatasetFooter' import ApiServer from './ApiServer' @@ -16,6 +17,8 @@ import TabSliderNew from '@/app/components/base/tab-slider-new' import SearchInput from '@/app/components/base/search-input' import TagManagementModal from '@/app/components/base/tag-management' import TagFilter from '@/app/components/base/tag-management/filter' +import Button from '@/app/components/base/button' +import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/development' // Services import { fetchDatasetApiBaseUrl } from '@/service/datasets' @@ -24,12 +27,14 @@ import { fetchDatasetApiBaseUrl } from '@/service/datasets' import { useTabSearchParams } from '@/hooks/use-tab-searchparams' import { useStore as useTagStore } from '@/app/components/base/tag-management/store' import { useAppContext } from '@/context/app-context' +import { useExternalApiPanel } from '@/context/external-api-panel-context' const Container = () => { const { t } = useTranslation() const router = useRouter() const { currentWorkspace } = useAppContext() const showTagManagementModal = useTagStore(s => s.showTagManagementModal) + const { showExternalApiPanel, setShowExternalApiPanel } = useExternalApiPanel() const options = useMemo(() => { return [ @@ -66,7 +71,7 @@ const Container = () => { useEffect(() => { if (currentWorkspace.role === 'normal') return router.replace('/apps') - }, [currentWorkspace]) + }, [currentWorkspace, router]) return (
@@ -80,11 +85,18 @@ const Container = () => {
+
+
)} {activeTab === 'api' && data && }
- {activeTab === 'dataset' && ( <> @@ -94,10 +106,10 @@ const Container = () => { )} )} - {activeTab === 'api' && data && } -
+ {showExternalApiPanel && setShowExternalApiPanel(false)} />} + ) } diff --git a/web/app/(commonLayout)/datasets/DatasetCard.tsx b/web/app/(commonLayout)/datasets/DatasetCard.tsx index f66c6bccf421fa..e8ccddbcb78d37 100644 --- a/web/app/(commonLayout)/datasets/DatasetCard.tsx +++ b/web/app/(commonLayout)/datasets/DatasetCard.tsx @@ -18,6 +18,7 @@ import Divider from '@/app/components/base/divider' import RenameDatasetModal from '@/app/components/datasets/rename-modal' import type { Tag } from '@/app/components/base/tag-management/constant' import TagSelector from '@/app/components/base/tag-management/selector' +import CornerLabel from '@/app/components/base/corner-label' import { useAppContext } from '@/context/app-context' export type DatasetCardProps = { @@ -32,6 +33,7 @@ const DatasetCard = ({ const { t } = useTranslation() const { notify } = useContext(ToastContext) const { push } = useRouter() + const EXTERNAL_PROVIDER = 'external' as const const { isCurrentWorkspaceDatasetOperator } = useAppContext() const [tags, setTags] = useState(dataset.tags) @@ -39,6 +41,7 @@ const DatasetCard = ({ const [showRenameModal, setShowRenameModal] = useState(false) const [showConfirmDelete, setShowConfirmDelete] = useState(false) const [confirmMessage, setConfirmMessage] = useState('') + const isExternalProvider = (provider: string): boolean => provider === EXTERNAL_PROVIDER const detectIsUsedByApp = useCallback(async () => { try { const { is_using: isUsedByApp } = await checkIsUsedInApp(dataset.id) @@ -108,13 +111,16 @@ const DatasetCard = ({ return ( <>
{ e.preventDefault() - push(`/datasets/${dataset.id}/documents`) + isExternalProvider(dataset.provider) + ? push(`/datasets/${dataset.id}/hitTesting`) + : push(`/datasets/${dataset.id}/documents`) }} > + {isExternalProvider(dataset.provider) && }
- {dataset.document_count}{t('dataset.documentCount')} - · - {Math.round(dataset.word_count / 1000)}{t('dataset.wordCount')} - · - {dataset.app_count}{t('dataset.appCount')} + {dataset.provider === 'external' + ? <> + {dataset.app_count}{t('dataset.appCount')} + + : <> + {dataset.document_count}{t('dataset.documentCount')} + · + {Math.round(dataset.word_count / 1000)}{t('dataset.wordCount')} + · + {dataset.app_count}{t('dataset.appCount')} + + }
diff --git a/web/app/(commonLayout)/datasets/NewDatasetCard.tsx b/web/app/(commonLayout)/datasets/NewDatasetCard.tsx index f76efa57696d38..5dd244ad41006c 100644 --- a/web/app/(commonLayout)/datasets/NewDatasetCard.tsx +++ b/web/app/(commonLayout)/datasets/NewDatasetCard.tsx @@ -4,21 +4,32 @@ import { forwardRef } from 'react' import { useTranslation } from 'react-i18next' import { RiAddLine, + RiArrowRightLine, } from '@remixicon/react' const CreateAppCard = forwardRef((_, ref) => { const { t } = useTranslation() return ( - -
- ) }) diff --git a/web/app/(commonLayout)/datasets/connect/page.tsx b/web/app/(commonLayout)/datasets/connect/page.tsx new file mode 100644 index 00000000000000..724c506a7f4eb2 --- /dev/null +++ b/web/app/(commonLayout)/datasets/connect/page.tsx @@ -0,0 +1,8 @@ +import React from 'react' +import ExternalKnowledgeBaseConnector from '@/app/components/datasets/external-knowledge-base/connector' + +const ExternalKnowledgeBaseCreation = () => { + return +} + +export default ExternalKnowledgeBaseCreation diff --git a/web/app/(commonLayout)/datasets/layout.tsx b/web/app/(commonLayout)/datasets/layout.tsx new file mode 100644 index 00000000000000..aecb537aa6d63f --- /dev/null +++ b/web/app/(commonLayout)/datasets/layout.tsx @@ -0,0 +1,14 @@ +'use client' + +import { ExternalApiPanelProvider } from '@/context/external-api-panel-context' +import { ExternalKnowledgeApiProvider } from '@/context/external-knowledge-api-context' + +export default function DatasetsLayout({ children }: { children: React.ReactNode }) { + return ( + + + {children} + + + ) +} diff --git a/web/app/(commonLayout)/datasets/page.tsx b/web/app/(commonLayout)/datasets/page.tsx index 5aa11aa2750702..096a1b89792108 100644 --- a/web/app/(commonLayout)/datasets/page.tsx +++ b/web/app/(commonLayout)/datasets/page.tsx @@ -1,9 +1,7 @@ import Container from './Container' const AppList = async () => { - return ( - - ) + return } export const metadata = { diff --git a/web/app/(commonLayout)/datasets/store.ts b/web/app/(commonLayout)/datasets/store.ts new file mode 100644 index 00000000000000..40b7b155948090 --- /dev/null +++ b/web/app/(commonLayout)/datasets/store.ts @@ -0,0 +1,11 @@ +import { create } from 'zustand' + +type DatasetStore = { + showExternalApiPanel: boolean + setShowExternalApiPanel: (show: boolean) => void +} + +export const useDatasetStore = create(set => ({ + showExternalApiPanel: false, + setShowExternalApiPanel: show => set({ showExternalApiPanel: show }), +})) diff --git a/web/app/components/app-sidebar/basic.tsx b/web/app/components/app-sidebar/basic.tsx index c939cb7bb3a5ac..51fc10721eb7a4 100644 --- a/web/app/components/app-sidebar/basic.tsx +++ b/web/app/components/app-sidebar/basic.tsx @@ -1,4 +1,5 @@ import React from 'react' +import { useTranslation } from 'react-i18next' import AppIcon from '../base/app-icon' import Tooltip from '@/app/components/base/tooltip' @@ -6,6 +7,7 @@ export type IAppBasicProps = { iconType?: 'app' | 'api' | 'dataset' | 'webapp' | 'notion' icon?: string icon_background?: string | null + isExternal?: boolean name: string type: string | React.ReactNode hoverTip?: string @@ -52,7 +54,9 @@ const ICON_MAP = { notion: , } -export default function AppBasic({ icon, icon_background, name, type, hoverTip, textStyle, mode = 'expand', iconType = 'app' }: IAppBasicProps) { +export default function AppBasic({ icon, icon_background, name, isExternal, type, hoverTip, textStyle, mode = 'expand', iconType = 'app' }: IAppBasicProps) { + const { t } = useTranslation() + return (
{icon && icon_background && iconType === 'app' && ( @@ -83,6 +87,7 @@ export default function AppBasic({ icon, icon_background, name, type, hoverTip, }
{type}
+
{isExternal ? t('dataset.externalTag') : ''}
}
) diff --git a/web/app/components/app-sidebar/index.tsx b/web/app/components/app-sidebar/index.tsx index 5d5d407dc0f900..5ee063ad646f3d 100644 --- a/web/app/components/app-sidebar/index.tsx +++ b/web/app/components/app-sidebar/index.tsx @@ -15,6 +15,7 @@ export type IAppDetailNavProps = { iconType?: 'app' | 'dataset' | 'notion' title: string desc: string + isExternal?: boolean icon: string icon_background: string navigation: Array<{ @@ -26,7 +27,7 @@ export type IAppDetailNavProps = { extraInfo?: (modeState: string) => React.ReactNode } -const AppDetailNav = ({ title, desc, icon, icon_background, navigation, extraInfo, iconType = 'app' }: IAppDetailNavProps) => { +const AppDetailNav = ({ title, desc, isExternal, icon, icon_background, navigation, extraInfo, iconType = 'app' }: IAppDetailNavProps) => { const { appSidebarExpand, setAppSiderbarExpand } = useAppStore(useShallow(state => ({ appSidebarExpand: state.appSidebarExpand, setAppSiderbarExpand: state.setAppSiderbarExpand, @@ -70,6 +71,7 @@ const AppDetailNav = ({ title, desc, icon, icon_background, navigation, extraInf icon_background={icon_background} name={title} type={desc} + isExternal={isExternal} /> )} diff --git a/web/app/components/app/configuration/dataset-config/card-item/item.tsx b/web/app/components/app/configuration/dataset-config/card-item/item.tsx index 184a598e1081c3..9c5e6fa785ee4b 100644 --- a/web/app/components/app/configuration/dataset-config/card-item/item.tsx +++ b/web/app/components/app/configuration/dataset-config/card-item/item.tsx @@ -5,6 +5,7 @@ import { RiDeleteBinLine, RiEditLine, } from '@remixicon/react' +import { useTranslation } from 'react-i18next' import SettingsModal from '../settings-modal' import type { DataSet } from '@/models/datasets' import { DataSourceType } from '@/models/datasets' @@ -33,6 +34,7 @@ const Item: FC = ({ const isMobile = media === MediaType.mobile const [showSettingsModal, setShowSettingsModal] = useState(false) const { formatIndexingTechniqueAndMethod } = useKnowledge() + const { t } = useTranslation() const handleSave = (newDataset: DataSet) => { onSave(newDataset) @@ -65,9 +67,11 @@ const Item: FC = ({
{config.name}
- + {config.provider === 'external' + ? + : }
diff --git a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx index 91cae54bb8e7ea..f99496b14fa8f2 100644 --- a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx +++ b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx @@ -174,6 +174,20 @@ const ConfigContent: FC = ({
) } + { + selectedDatasetsMode.mixtureInternalAndExternal && ( +
+ {t('dataset.mixtureInternalAndExternalTip')} +
+ ) + } + { + selectedDatasetsMode.allExternal && ( +
+ {t('dataset.allExternalTip')} +
+ ) + } { selectedDatasetsMode.mixtureHighQualityAndEconomic && ( @@ -229,15 +243,15 @@ const ConfigContent: FC = ({ /> ) } -
{t('common.modelProvider.rerankModel.key')}
+
{t('common.modelProvider.rerankModel.key')}
{t('common.modelProvider.rerankModel.tip')} } - popupClassName='ml-0.5' - triggerClassName='ml-0.5 w-3.5 h-3.5' + popupClassName='ml-1' + triggerClassName='ml-1 w-4 h-4' />
diff --git a/web/app/components/app/configuration/dataset-config/params-config/index.tsx b/web/app/components/app/configuration/dataset-config/params-config/index.tsx index 656cbfea6564fa..2d3df0b03990a9 100644 --- a/web/app/components/app/configuration/dataset-config/params-config/index.tsx +++ b/web/app/components/app/configuration/dataset-config/params-config/index.tsx @@ -39,13 +39,26 @@ const ParamsConfig = ({ useEffect(() => { const { allEconomic, + allHighQuality, + allHighQualityFullTextSearch, + allHighQualityVectorSearch, + allExternal, + mixtureHighQualityAndEconomic, + inconsistentEmbeddingModel, + mixtureInternalAndExternal, } = getSelectedDatasetsMode(selectedDatasets) const { datasets, retrieval_model, score_threshold_enabled, ...restConfigs } = datasetConfigs let rerankEnable = restConfigs.reranking_enable - if (allEconomic && !restConfigs.reranking_model?.reranking_provider_name && rerankEnable === undefined) + if ((allEconomic && !restConfigs.reranking_model?.reranking_provider_name && rerankEnable === undefined) || allExternal) rerankEnable = false + if (allEconomic || allHighQuality || allHighQualityFullTextSearch || allHighQualityVectorSearch || (allExternal && selectedDatasets.length === 1)) + setRerankSettingModalOpen(false) + + if (mixtureHighQualityAndEconomic || inconsistentEmbeddingModel || mixtureInternalAndExternal || (allExternal && selectedDatasets.length > 1)) + setRerankSettingModalOpen(true) + setTempDataSetConfigs({ ...getMultipleRetrievalConfig({ top_k: restConfigs.top_k, diff --git a/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx b/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx index 4493755ba01389..0d94e599b4f2c9 100644 --- a/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx +++ b/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx @@ -47,7 +47,7 @@ const SelectDataSet: FC = ({ const { data, has_more } = await fetchDatasets({ url: '/datasets', params: { page } }) setPage(getPage() + 1) setIsNoMore(!has_more) - const newList = [...(datasets || []), ...data.filter(item => item.indexing_technique)] + const newList = [...(datasets || []), ...data.filter(item => item.indexing_technique || item.provider === 'external')] setDataSets(newList) setLoaded(true) if (!selected.find(item => !item.name)) @@ -145,6 +145,11 @@ const SelectDataSet: FC = ({ /> ) } + { + item.provider === 'external' && ( + + ) + }
))} diff --git a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx index e538c347d95c99..7b3b4abc0fb1e6 100644 --- a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx +++ b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx @@ -5,8 +5,10 @@ import { useTranslation } from 'react-i18next' import { isEqual } from 'lodash-es' import { RiCloseLine } from '@remixicon/react' import { BookOpenIcon } from '@heroicons/react/24/outline' +import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/development' import cn from '@/utils/classnames' import IndexMethodRadio from '@/app/components/datasets/settings/index-method-radio' +import Divider from '@/app/components/base/divider' import Button from '@/app/components/base/button' import type { DataSet } from '@/models/datasets' import { useToastContext } from '@/app/components/base/toast' @@ -14,6 +16,7 @@ import { updateDatasetSetting } from '@/service/datasets' import { useAppContext } from '@/context/app-context' import { useModalContext } from '@/context/modal-context' import type { RetrievalConfig } from '@/types/app' +import RetrievalSettings from '@/app/components/datasets/external-knowledge-base/create/RetrievalSettings' import RetrievalMethodConfig from '@/app/components/datasets/common/retrieval-method-config' import EconomicalRetrievalMethodConfig from '@/app/components/datasets/common/economical-retrieval-method-config' import { ensureRerankModelSelected, isReRankModelSelected } from '@/app/components/datasets/common/check-rerank-model' @@ -56,6 +59,9 @@ const SettingsModal: FC = ({ const { t } = useTranslation() const { notify } = useToastContext() const ref = useRef(null) + const [topK, setTopK] = useState(currentDataset?.external_retrieval_model.top_k ?? 2) + const [scoreThreshold, setScoreThreshold] = useState(currentDataset?.external_retrieval_model.score_threshold ?? 0.5) + const [scoreThresholdEnabled, setScoreThresholdEnabled] = useState(currentDataset?.external_retrieval_model.score_threshold_enabled ?? false) const { setShowAccountSettingModal } = useModalContext() const [loading, setLoading] = useState(false) @@ -73,6 +79,15 @@ const SettingsModal: FC = ({ const [isHideChangedTip, setIsHideChangedTip] = useState(false) const isRetrievalChanged = !isEqual(retrievalConfig, localeCurrentDataset?.retrieval_model_dict) || indexMethod !== localeCurrentDataset?.indexing_technique + const handleSettingsChange = (data: { top_k?: number; score_threshold?: number; score_threshold_enabled?: boolean }) => { + if (data.top_k !== undefined) + setTopK(data.top_k) + if (data.score_threshold !== undefined) + setScoreThreshold(data.score_threshold) + if (data.score_threshold_enabled !== undefined) + setScoreThresholdEnabled(data.score_threshold_enabled) + } + const handleSave = async () => { if (loading) return @@ -107,10 +122,17 @@ const SettingsModal: FC = ({ description, permission, indexing_technique: indexMethod, + external_retrieval_model: { + top_k: topK, + score_threshold: scoreThreshold, + score_threshold_enabled: scoreThresholdEnabled, + }, retrieval_model: { ...postRetrievalConfig, score_threshold: postRetrievalConfig.score_threshold_enabled ? postRetrievalConfig.score_threshold : 0, }, + external_knowledge_id: currentDataset!.external_knowledge_info.external_knowledge_id, + external_knowledge_api_id: currentDataset!.external_knowledge_info.external_knowledge_api_id, embedding_model: localeCurrentDataset.embedding_model, embedding_model_provider: localeCurrentDataset.embedding_model_provider, }, @@ -178,7 +200,7 @@ const SettingsModal: FC = ({ }}>
- {t('datasetSettings.form.name')} +
{t('datasetSettings.form.name')}
= ({
- {t('datasetSettings.form.desc')} +
{t('datasetSettings.form.desc')}