From 3e3352027d49f6c6bacdf33e2823195816664672 Mon Sep 17 00:00:00 2001 From: Leif Warland Date: Wed, 27 Sep 2023 18:22:25 +0200 Subject: [PATCH] Use ruff --- .github/workflows/codeql-analysis.yml | 46 +- .github/workflows/deploy.yml | 10 +- .github/workflows/poetry.yml | 3 +- .github/workflows/tests.yml | 10 +- .pre-commit-config.yaml | 60 +- cimsparql/async_sparql_wrapper.py | 14 +- cimsparql/data_models.py | 7 +- cimsparql/graphdb.py | 145 +- cimsparql/model.py | 136 +- cimsparql/templates.py | 2 +- cimsparql/type_mapper.py | 40 +- cimsparql/url.py | 24 +- cimsparql/value_mapper.py | 4 +- docs/conf.py | 18 +- poetry.lock | 2008 +++++-------------------- pyproject.toml | 116 +- tests/conftest.py | 4 +- tests/t_utils/common.py | 12 +- tests/t_utils/custom_models.py | 14 +- tests/t_utils/entsoe_models.py | 36 +- tests/test_async_sparql_wrapper.py | 2 +- tests/test_cimmodel.py | 21 +- tests/test_graphdb.py | 30 +- tests/test_graphdb_config.py | 16 +- tests/test_micro_t1_nl.py | 10 +- tests/test_model_properties.py | 25 +- tests/test_rdf4j.py | 12 +- tests/test_type_mapper.py | 23 +- 28 files changed, 865 insertions(+), 1983 deletions(-) diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml index 8945f7e5..8e04c775 100644 --- a/.github/workflows/codeql-analysis.yml +++ b/.github/workflows/codeql-analysis.yml @@ -9,14 +9,15 @@ # the `language` matrix defined below to confirm you have the correct set of # supported CodeQL languages. # +--- name: "CodeQL" on: push: - branches: [ master ] + branches: [master] pull_request: # The branches below must be a subset of the branches above - branches: [ master ] + branches: [master] schedule: - cron: '25 22 * * 1' @@ -32,40 +33,23 @@ jobs: strategy: fail-fast: false matrix: - language: [ 'python' ] + language: ['python'] # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python' ] # Learn more: # https://docs.github.com/en/free-pro-team@latest/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#changing-the-languages-that-are-analyzed steps: - - name: Checkout repository - uses: actions/checkout@v4 + - name: Checkout repository + uses: actions/checkout@v4 - # Initializes the CodeQL tools for scanning. - - name: Initialize CodeQL - uses: github/codeql-action/init@v2 - with: - languages: ${{ matrix.language }} - # If you wish to specify custom queries, you can do so here or in a config file. - # By default, queries listed here will override any specified in a config file. - # Prefix the list here with "+" to use these queries and those in the config file. - # queries: ./path/to/local/query, your-org/your-repo/queries@main + # Initializes the CodeQL tools for scanning. + - name: Initialize CodeQL + uses: github/codeql-action/init@v2 + with: + languages: ${{ matrix.language }} - # Autobuild attempts to build any compiled languages (C/C++, C#, or Java). - # If this step fails, then you should remove it and run the build manually (see below) - - name: Autobuild - uses: github/codeql-action/autobuild@v2 + - name: Autobuild + uses: github/codeql-action/autobuild@v2 - # ℹī¸ Command-line programs to run using the OS shell. - # 📚 https://git.io/JvXDl - - # ✏ī¸ If the Autobuild fails above, remove it and uncomment the following three lines - # and modify them (or add more) to build your code if your project - # uses a compiled language - - #- run: | - # make bootstrap - # make release - - - name: Perform CodeQL Analysis - uses: github/codeql-action/analyze@v2 + - name: Perform CodeQL Analysis + uses: github/codeql-action/analyze@v2 diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml index 0f7e7fc4..1a76812a 100644 --- a/.github/workflows/deploy.yml +++ b/.github/workflows/deploy.yml @@ -1,3 +1,4 @@ +--- name: Deploy to PyPI on: @@ -10,8 +11,9 @@ permissions: pages: write id-token: write -# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued. -# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete. +# Allow only one concurrent deployment, skipping runs queued between the run in-progress +# and latest queued. However, do NOT cancel in-progress runs as we want to allow these +# production deployments to complete. concurrency: group: "pages" cancel-in-progress: false @@ -31,7 +33,7 @@ jobs: - name: Install Python uses: actions/setup-python@v4 with: - python-version: 3.9 + python-version: 3.11 - name: Install and configure Poetry uses: abatilo/actions-poetry@v2.3.0 with: @@ -58,7 +60,7 @@ jobs: - name: Install Python uses: actions/setup-python@v4 with: - python-version: 3.9 + python-version: 3.11 - name: Install and configure Poetry uses: abatilo/actions-poetry@v2.3.0 with: diff --git a/.github/workflows/poetry.yml b/.github/workflows/poetry.yml index b0d3f0a3..4eb9f084 100644 --- a/.github/workflows/poetry.yml +++ b/.github/workflows/poetry.yml @@ -1,8 +1,9 @@ +--- name: poetry on: schedule: - - cron: "0 9 * * 1" # Mondays at 09:00 + - cron: "0 9 * * 1" # Mondays at 09:00 workflow_dispatch: jobs: diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 28d6f730..d777e3a9 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -10,10 +10,10 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Set up Python 3.9 + - name: Set up Python 3.11 uses: actions/setup-python@v4 with: - python-version: 3.9 + python-version: 3.11 - name: Get full python version id: full-python-version @@ -40,9 +40,9 @@ jobs: strategy: fail-fast: true matrix: - os: [ ubuntu-latest ] - python-version: [ '3.9', '3.10', '3.11'] - poetry-version: [ 1.6.1 ] + os: [ubuntu-latest] + python-version: ['3.10', '3.11'] + poetry-version: [1.6.1] services: rdf4j: diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 14bf7a3a..bd11d66d 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,48 +1,24 @@ +--- default_language_version: - python: python3 + python: python3 repos: -- repo: https://github.com/pre-commit/pre-commit-hooks + - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.4.0 hooks: - - id: check-json - - id: check-merge-conflict - - id: debug-statements - - id: detect-private-key - - id: check-yaml - - id: check-toml - - id: end-of-file-fixer - - id: trailing-whitespace -- repo: https://github.com/hadialqattan/pycln - rev: v2.2.2 + - id: check-json + - id: check-merge-conflict + - id: debug-statements + - id: detect-private-key + - id: check-yaml + - id: check-toml + - id: end-of-file-fixer + - id: trailing-whitespace + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.0.291 hooks: - - id: pycln - args: [--all] -- repo: https://github.com/psf/black - rev: 23.7.0 + - id: ruff + args: [--fix, --exit-non-zero-on-fix] + - repo: https://github.com/psf/black + rev: 23.9.1 hooks: - - id: black -- repo: https://github.com/pycqa/isort - rev: 5.12.0 - hooks: - - id: isort - additional_dependencies: [toml] -- repo: https://github.com/pycqa/flake8 - rev: 6.1.0 - hooks: - - id: flake8 - additional_dependencies: - - pyflakes - - pycodestyle - - flake8-bugbear - - flake8-comprehensions - - flake8-eradicate - - flake8-mutable - - flake8-simplify - - flake8-builtins -- repo: https://github.com/Lucas-C/pre-commit-hooks-bandit - rev: v1.0.6 - hooks: - - id: python-bandit-vulnerability-check - args: [-ll, -ii, --exclude, ./.venv/*, --recursive, .] - pass_filenames: false - always_run: true + - id: black diff --git a/cimsparql/async_sparql_wrapper.py b/cimsparql/async_sparql_wrapper.py index 282b949c..6855f358 100644 --- a/cimsparql/async_sparql_wrapper.py +++ b/cimsparql/async_sparql_wrapper.py @@ -1,5 +1,7 @@ +from __future__ import annotations + from http import HTTPStatus -from typing import Optional +from typing import Any import httpx from SPARQLWrapper import JSON, SPARQLWrapper @@ -21,11 +23,11 @@ class AsyncSparqlWrapper(SPARQLWrapper): - def __init__(self, *args, **kwargs): - self.ca_bundle: Optional[str] = kwargs.pop("ca_bundle", None) + def __init__(self, *args: Any, **kwargs: dict[str, str | None]) -> None: + self.ca_bundle: str | None = kwargs.pop("ca_bundle", None) super().__init__(*args, **kwargs) - async def queryAndConvert(self) -> dict: + async def queryAndConvert(self) -> dict: # noqa N802 if self.returnFormat != JSON: raise NotImplementedError("Async client only support JSON return format") @@ -33,8 +35,8 @@ async def queryAndConvert(self) -> dict: url = request.get_full_url() method = request.get_method() - args = {"timeout": self.timeout} | ({"verify": self.ca_bundle} if self.ca_bundle else {}) - async with httpx.AsyncClient(**args) as client: + kwargs = {"verify": self.ca_bundle} if self.ca_bundle else {} + async with httpx.AsyncClient(timeout=self.timeout, **kwargs) as client: response = await client.request( method, url, headers=request.headers, content=request.data ) diff --git a/cimsparql/data_models.py b/cimsparql/data_models.py index 3baf736e..eb746c2d 100644 --- a/cimsparql/data_models.py +++ b/cimsparql/data_models.py @@ -1,4 +1,5 @@ import datetime as dt +from typing import ClassVar import pandas as pd import pandera as pa @@ -8,7 +9,7 @@ class JsonSchemaOut(pa.SchemaModel): class Config: to_format = "json" - to_format_kwargs = {"orient": "table"} + to_format_kwargs: ClassVar[dict[str, str]] = {"orient": "table"} coerce = True @@ -103,8 +104,8 @@ class SynchronousMachinesSchema(NamedMarketResourceSchema): station_group: Series[str] = pa.Field(nullable=True) station_group_name: Series[str] = pa.Field(nullable=True) station: Series[str] = pa.Field() - maxP: Series[float] = pa.Field(nullable=True) - minP: Series[float] = pa.Field(nullable=True) + maxP: Series[float] = pa.Field(nullable=True) # noqa N815 + minP: Series[float] = pa.Field(nullable=True) # noqa N815 MO: Series[float] = pa.Field(nullable=True) bidzone: Series[str] = pa.Field(nullable=True) sn: Series[float] = pa.Field() diff --git a/cimsparql/graphdb.py b/cimsparql/graphdb.py index 7a611a2b..149aaa2b 100644 --- a/cimsparql/graphdb.py +++ b/cimsparql/graphdb.py @@ -1,15 +1,17 @@ """Graphdb CIM sparql client""" +from __future__ import annotations import json import os +from collections.abc import Callable from dataclasses import dataclass, field from enum import auto +from http import HTTPStatus from pathlib import Path -from typing import Dict, List, Optional, Tuple, TypedDict, Union +from typing import TYPE_CHECKING, TypedDict, TypeVar import httpx import pandas as pd -import requests from SPARQLWrapper import JSON, POST, SPARQLWrapper from strenum import StrEnum @@ -18,12 +20,12 @@ class SparqlResult(TypedDict): - cols: List[str] - data: List[Dict[str, Dict[str, str]]] - out: List[Dict[str, str]] + cols: list[str] + data: list[dict[str, dict[str, str]]] + out: list[dict[str, str]] -def data_row(cols: List[str], rows: List[Dict[str, Dict[str, str]]]) -> Dict[str, str]: +def data_row(cols: list[str], rows: list[dict[str, dict[str, str]]]) -> dict[str, str]: """Get a sample row for extraction of data types Args: @@ -48,7 +50,7 @@ class RestApi(StrEnum): DIRECT_SPARQL_ENDPOINT = auto() -def parse_namespaces_rdf4j(response: requests.Response) -> Dict[str, str]: +def parse_namespaces_rdf4j(response: httpx.Response) -> dict[str, str]: prefixes = {} for line in response.text.split()[1:]: prefix, uri = line.split(",") @@ -62,20 +64,20 @@ class ServiceConfig: protocol: str = "https" server: str = field(default=os.getenv("GRAPHDB_SERVER", "127.0.0.1:7200")) path: str = "" - user: str = field(default=os.getenv("GRAPHDB_USER")) - passwd: str = field(default=os.getenv("GRAPHDB_USER_PASSWD")) - rest_api: RestApi = field(default=os.getenv("SPARQL_REST_API", RestApi.RDF4J)) - ca_bundle: Optional[str] = field(default=None) + user: str | None = field(default=os.getenv("GRAPHDB_USER")) + passwd: str | None = field(default=os.getenv("GRAPHDB_USER_PASSWD")) + rest_api: RestApi = field(default=RestApi(os.getenv("SPARQL_REST_API", "RDF4J"))) + ca_bundle: str | None = field(default=None) # Parameters for rest api # https://rdf4j.org/documentation/reference/rest-api/ distinct: bool = False infer: bool = False - limit: Optional[int] = None - offset: Optional[int] = None - timeout: Optional[int] = None + limit: int | None = None + offset: int | None = None + timeout: int | None = None - def __post_init__(self): + def __post_init__(self) -> None: if self.rest_api not in RestApi: raise ValueError(f"rest_api must be one of {RestApi}") @@ -88,7 +90,7 @@ def url(self) -> str: return service(self.repo, self.server, self.protocol, self.path) @property - def parameters(self) -> Dict[str, Union[bool, int]]: + def parameters(self) -> dict[str, bool | int | None]: return { "distinct": self.distinct, "infer": self.infer, @@ -96,6 +98,10 @@ def parameters(self) -> Dict[str, Union[bool, int]]: "offset": self.offset, } + @property + def auth(self) -> httpx.BasicAuth | None: + return httpx.BasicAuth(self.user, self.passwd) if self.user and self.passwd else None + # Available formats from RDF4J API # https://rdf4j.org/documentation/reference/rest-api/ @@ -114,13 +120,20 @@ def parameters(self) -> Dict[str, Union[bool, int]]: UPLOAD_END_POINT = {RestApi.RDF4J: "/statements", RestApi.BLAZEGRAPH: ""} +if TYPE_CHECKING: + from typing import Concatenate, ParamSpec + + P = ParamSpec("P") + T = TypeVar("T") + + RDF4J_DECORATED = Callable[Concatenate[GraphDBClient, P], T] + -def require_rdf4j(f): - def wrapper(*args): - self = args[0] - if self.service_cfg.rest_api != RestApi.RDF4J: +def require_rdf4j(f: RDF4J_DECORATED) -> Callable[RDF4J_DECORATED]: + def wrapper(cli: GraphDBClient, *args: P.args, **kwargs: P.kwargs) -> T: + if cli.service_cfg.rest_api != RestApi.RDF4J: raise NotImplementedError("Function only implemented for RDF4J") - return f(*args) + return f(cli, *args, **kwargs) return wrapper @@ -145,8 +158,8 @@ class GraphDBClient: def __init__( self, - service_cfg: Optional[ServiceConfig] = None, - custom_headers: Optional[Dict[str, str]] = None, + service_cfg: ServiceConfig | None = None, + custom_headers: dict[str, str] | None = None, ) -> None: self.service_cfg = service_cfg or ServiceConfig() self.sparql = self.sparql_wrapper(self.service_cfg.url, self.service_cfg.ca_bundle) @@ -161,7 +174,7 @@ def __init__( self.sparql.addCustomHttpHeader(name, value) self._prefixes = None - def _update_sparql_parameters(self): + def _update_sparql_parameters(self) -> None: for key, value in self.service_cfg.parameters.items(): if value is not None: self.set_parameter(key, str(value)) @@ -175,12 +188,12 @@ def set_repo(self, repo: str) -> None: self.sparql.endpoint = self.service_cfg.url @property - def prefixes(self) -> Dict[str, str]: + def prefixes(self) -> dict[str, str]: if self._prefixes is None: self._prefixes = self.get_prefixes() return self._prefixes - def update_prefixes(self, pref: Dict[str, str]): + def update_prefixes(self, pref: dict[str, str]) -> None: """ Update prefixes from a dict """ @@ -189,7 +202,7 @@ def update_prefixes(self, pref: Dict[str, str]): def __str__(self) -> str: return f"" - def _prep_query(self, query: str): + def _prep_query(self, query: str) -> None: self.sparql.setQuery(query) self._update_sparql_parameters() @@ -204,15 +217,15 @@ def _exec_query(self, query: str) -> SparqlResult: results = self.sparql.queryAndConvert() return self._process_result(results) - def exec_query(self, query: str) -> List[Dict[str, str]]: + def exec_query(self, query: str) -> list[dict[str, str]]: out = self._exec_query(query) return out["out"] - def _convert_query_result_to_df(self, res: SparqlResult) -> Tuple[pd.DataFrame, Dict[str, str]]: + def _convert_query_result_to_df(self, res: SparqlResult) -> tuple[pd.DataFrame, dict[str, str]]: df = pd.DataFrame(res["out"]) if len(res["out"]) else pd.DataFrame(columns=res["cols"]) return df, data_row(res["cols"], res["data"]) - def get_table(self, query: str) -> Tuple[pd.DataFrame, Dict[str, str]]: + def get_table(self, query: str) -> tuple[pd.DataFrame, dict[str, str]]: """Get result from sparql query as a pandas dataframe Args: @@ -227,7 +240,7 @@ def empty(self) -> bool: """Identify empty GraphDB repo""" return self.get_table("select * where {?s ?p ?o} limit 1")[0].empty - def get_prefixes(self) -> Dict[str, str]: + def get_prefixes(self) -> dict[str, str]: prefixes = default_namespaces() if self.service_cfg.rest_api in (RestApi.BLAZEGRAPH, RestApi.DIRECT_SPARQL_ENDPOINT): @@ -235,11 +248,12 @@ def get_prefixes(self) -> Dict[str, str]: # via `update_prefixes`. By default we load a pre-defined set of prefixes return prefixes - auth = requests.auth.HTTPBasicAuth(self.service_cfg.user, self.service_cfg.passwd) - response = requests.get( - self.service_cfg.url + "/namespaces", auth=auth, headers=self.sparql.customHttpHeaders + response = httpx.get( + self.service_cfg.url + "/namespaces", + auth=self.service_cfg.auth, + headers=self.sparql.customHttpHeaders, ) - if response.ok: + if response.status_code == HTTPStatus.OK: prefixes.update(parse_namespaces_rdf4j(response)) return prefixes msg = ( @@ -247,15 +261,17 @@ def get_prefixes(self) -> Dict[str, str]: "Verify that user and password are correctly set in the " "GRAPHDB_USER and GRAPHDB_USER_PASSWD environment variable" ) - raise RuntimeError(f"{msg} Status code: {response.status_code} Reason: {response.reason}") + raise RuntimeError( + f"{msg} Status code: {response.status_code} Reason: {response.reason_phrase}" + ) def delete_repo(self) -> None: endpoint = delete_repo_endpoint(self.service_cfg) - response = requests.delete(endpoint) + response = httpx.delete(endpoint) response.raise_for_status() def upload_rdf( - self, content: Union[Path, bytes], rdf_format: str, params: Optional[Dict[str, str]] = None + self, content: Path | bytes, rdf_format: str, params: dict[str, str] | None = None ) -> None: """ Upload data in RDF format to a srevice @@ -266,14 +282,16 @@ def upload_rdf( doc for a complete list of available options) params: Additional parameters passed to the post request """ - xml_content = content - if isinstance(content, Path): - with open(content, "rb") as infile: - xml_content = infile.read() - response = requests.post( + def read_xml_content(file: Path) -> bytes: + with open(file, "rb") as infile: + return infile.read() + + xml_content = read_xml_content(content) if isinstance(content, Path) else content + + response = httpx.post( self.service_cfg.url + UPLOAD_END_POINT[self.service_cfg.rest_api], - data=xml_content, + content=xml_content, params=params, headers={"Content-Type": MIME_TYPE_RDF_FORMATS[rdf_format]}, ) @@ -283,31 +301,30 @@ def update_query(self, query: str) -> None: """ Function that passes a query via a post API call """ - auth = requests.auth.HTTPBasicAuth(self.service_cfg.user, self.service_cfg.passwd) - response = requests.post( + response = httpx.post( self.service_cfg.url + UPLOAD_END_POINT[self.service_cfg.rest_api], data={"update": query}, headers=self.sparql.customHttpHeaders | {"Content-Type": "application/x-www-form-urlencoded"}, - auth=auth, + auth=self.service_cfg.auth, ) response.raise_for_status() @require_rdf4j def set_namespace(self, prefix: str, value: str) -> None: - auth = requests.auth.HTTPBasicAuth(self.service_cfg.user, self.service_cfg.passwd) - response = requests.put( + response = httpx.put( self.service_cfg.url + f"/namespaces/{prefix}", - data=value, + content=value, headers={"Content-Type": "text/plain"}, - auth=auth, + auth=self.service_cfg.auth, ) response.raise_for_status() @require_rdf4j def get_namespace(self, prefix: str) -> str: - auth = requests.auth.HTTPBasicAuth(self.service_cfg.user, self.service_cfg.passwd) - response = requests.get(self.service_cfg.url + f"/namespaces/{prefix}", auth=auth) + response = httpx.get( + self.service_cfg.url + f"/namespaces/{prefix}", auth=self.service_cfg.auth + ) response.raise_for_status() return response.text @@ -321,7 +338,7 @@ class RepoInfo: writable: bool -async def repos(service_cfg: Optional[ServiceConfig] = None) -> List[RepoInfo]: +async def repos(service_cfg: ServiceConfig | None = None) -> list[RepoInfo]: """ List available repositories """ @@ -338,8 +355,8 @@ async def repos(service_cfg: Optional[ServiceConfig] = None) -> List[RepoInfo]: response = await client.get(url, auth=auth, headers={"Accept": "application/json"}) response.raise_for_status() - def _repo_info(repo): - def get(key, default=""): + def _repo_info(repo: dict[str, str]) -> RepoInfo: + def get(key: str, default: str = "") -> str: return repo.get(key, {}).get("value", default) uri = get("uri") @@ -366,9 +383,9 @@ def new_repo( Otherwise an error is raised if a repository with the same name already exists protocol: Default https """ - ignored_errors = {409} if allow_exist else set() + ignored_errors = {HTTPStatus.CONFLICT} if allow_exist else set() url = service(repo, server, protocol) - response = requests.put(url, data=config, headers={"Content-Type": "text/turtle"}) + response = httpx.put(url, content=config, headers={"Content-Type": "text/turtle"}) if response.status_code not in ignored_errors: response.raise_for_status() @@ -379,8 +396,8 @@ def new_repo_blazegraph(url: str, repo: str, protocol: str = "https") -> GraphDB template = confpath() / "blazegraph_repo_config.xml" config = config_bytes_from_template(template, {"repo": repo}) - response = requests.post( - f"{protocol}://{url}", data=config, headers={"Content-type": "application/xml"} + response = httpx.post( + f"{protocol}://{url}", content=config, headers={"Content-type": "application/xml"} ) response.raise_for_status() client = GraphDBClient(ServiceConfig(repo, protocol, url, rest_api=RestApi.BLAZEGRAPH)) @@ -388,7 +405,7 @@ def new_repo_blazegraph(url: str, repo: str, protocol: str = "https") -> GraphDB def config_bytes_from_template( - template: Path, params: Dict[str, str], encoding: str = "utf8" + template: Path, params: dict[str, str], encoding: str = "utf-8" ) -> bytes: """ Replace value in template file with items in params @@ -412,7 +429,7 @@ def confpath() -> Path: return Path(__file__).parent.parent / "pkg_data" -def default_namespaces() -> Dict[str, str]: +def default_namespaces() -> dict[str, str]: with open(confpath() / "namespaces.json") as infile: return json.load(infile) @@ -448,11 +465,11 @@ async def _exec_query(self, query: str) -> SparqlResult: results = await self.sparql.queryAndConvert() return self._process_result(results) - async def exec_query(self, query: str) -> List[Dict[str, str]]: + async def exec_query(self, query: str) -> list[dict[str, str]]: out = await self._exec_query(query) return out["out"] - async def get_table(self, query: str) -> Tuple[pd.DataFrame, Dict[str, str]]: + async def get_table(self, query: str) -> tuple[pd.DataFrame, dict[str, str]]: """Get result from sparql query as a pandas dataframe Args: diff --git a/cimsparql/model.py b/cimsparql/model.py index 37ad2916..fec71a01 100644 --- a/cimsparql/model.py +++ b/cimsparql/model.py @@ -1,12 +1,14 @@ """The cimsparql.model module contains the base class Model.""" +from __future__ import annotations import asyncio import re from collections import defaultdict +from collections.abc import Iterable from dataclasses import dataclass, field from functools import cached_property from string import Template -from typing import Dict, Iterable, List, Optional +from typing import TYPE_CHECKING import pandas as pd @@ -42,22 +44,24 @@ ) from cimsparql.graphdb import AsyncGraphDBClient, GraphDBClient, ServiceConfig from cimsparql.type_mapper import TypeMapper -from cimsparql.value_mapper import ValueMapper + +if TYPE_CHECKING: + from cimsparql.value_mapper import ValueMapper @dataclass class ModelConfig: - system_state_repo: Optional[str] = None - eq_repo: Optional[str] = None + system_state_repo: str | None = None + eq_repo: str | None = None value_mappers: Iterable[ValueMapper] = field(default_factory=list) class Model: def __init__( self, - clients: Dict[str, GraphDBClient], - config: Optional[ModelConfig] = None, - mapper: Optional[TypeMapper] = None, + clients: dict[str, GraphDBClient], + config: ModelConfig | None = None, + mapper: TypeMapper | None = None, ) -> None: self.clients = clients self.config = config or ModelConfig() @@ -85,18 +89,18 @@ def client(self) -> GraphDBClient: return self.get_client("default") @client.setter - def client(self, default_client: GraphDBClient): + def client(self, default_client: GraphDBClient) -> None: self.clients["default"] = default_client @staticmethod - def _col_map(data_row) -> Dict[str, str]: + def _col_map(data_row: dict[str, str]) -> dict[str, str]: return { column: data.get("datatype", data.get("type", None)) for column, data in data_row.items() } @classmethod - def col_map(cls, data_row, columns: Dict[str, str]) -> Dict[str, str]: + def col_map(cls, data_row: dict[str, str], columns: dict[str, str]) -> dict[str, str]: columns = columns or {} col_map = cls._col_map(data_row) col_map.update(columns) @@ -110,9 +114,9 @@ def map_data_types(self) -> bool: def _convert_result( self, result: pd.DataFrame, - data_row: List[dict], - index: Optional[str] = None, - columns: Optional[Dict[str, str]] = None, + data_row: list[dict], + index: str | None = None, + columns: dict[str, str] | None = None, ) -> pd.DataFrame: col_map = self.col_map(data_row, columns) result = self.mapper.map_data_types(result, col_map) @@ -124,7 +128,7 @@ def _convert_result( return result async def get_table_and_convert( - self, query: str, index: Optional[str] = None, columns: Optional[Dict[str, str]] = None + self, query: str, index: str | None = None, columns: dict[str, str] | None = None ) -> pd.DataFrame: name = query_name(query) client = self.get_client(name) @@ -135,7 +139,7 @@ async def get_table_and_convert( return self._convert_result(result, data_row, index, columns) def template_to_query( - self, template: Template, substitutes: Optional[Dict[str, str]] = None + self, template: Template, substitutes: dict[str, str] | None = None ) -> str: """Convert provided template to query.""" substitutes = substitutes or {} @@ -181,15 +185,15 @@ async def market_dates(self) -> MarketDatesDataFrame: df = await self.get_table_and_convert(self.market_dates_query, index="mrid") return MarketDatesDataFrame(df) - def bus_data_query(self, region: Optional[str] = None) -> str: + def bus_data_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.BUS_DATA_QUERY, substitutes) - def three_winding_dummy_nodes_query(self, region: Optional[str] = None) -> str: + def three_winding_dummy_nodes_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.THREE_WINDING_DUMMY_NODES_QUERY, substitutes) - async def bus_data(self, region: Optional[str] = None) -> BusDataFrame: + async def bus_data(self, region: str | None = None) -> BusDataFrame: """Query name of topological nodes (TP query). Args: @@ -202,11 +206,11 @@ async def bus_data(self, region: Optional[str] = None) -> BusDataFrame: df = pd.concat(dfs) return BusDataFrame(df) - def loads_query(self, region: Optional[str] = None) -> str: + def loads_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.LOADS_QUERY, substitutes) - async def loads(self, region: Optional[str] = None) -> LoadsDataFrame: + async def loads(self, region: str | None = None) -> LoadsDataFrame: """Query load data. Args: @@ -216,12 +220,12 @@ async def loads(self, region: Optional[str] = None) -> LoadsDataFrame: df = await self.get_table_and_convert(query, index="mrid") return LoadsDataFrame(df) - def wind_generating_units_query(self, region: Optional[str] = None) -> str: + def wind_generating_units_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.WIND_GENERATING_UNITS_QUERY, substitutes) async def wind_generating_units( - self, region: Optional[str] = None + self, region: str | None = None ) -> WindGeneratingUnitsDataFrame: """Query wind generating units. @@ -239,22 +243,20 @@ async def wind_generating_units( df = await self.get_table_and_convert(query, index="mrid") return WindGeneratingUnitsDataFrame(df) - def synchronous_machines_query(self, region: Optional[str] = None) -> str: + def synchronous_machines_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.SYNCHRONOUS_MACHINES_QUERY, substitutes) - async def synchronous_machines( - self, region: Optional[str] = None - ) -> SynchronousMachinesDataFrame: + async def synchronous_machines(self, region: str | None = None) -> SynchronousMachinesDataFrame: query = self.synchronous_machines_query(region) df = await self.get_table_and_convert(query, index="mrid") return SynchronousMachinesDataFrame(df) - def connections_query(self, region: Optional[str] = None) -> str: + def connections_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.CONNECTIONS_QUERY, substitutes) - async def connections(self, region: Optional[str] = None) -> ConnectionsDataFrame: + async def connections(self, region: str | None = None) -> ConnectionsDataFrame: """Query connectors Args: @@ -274,11 +276,11 @@ async def connections(self, region: Optional[str] = None) -> ConnectionsDataFram df = await self.get_table_and_convert(query, index="mrid") return ConnectionsDataFrame(df) - def borders_query(self, region: Optional[str] = None) -> str: + def borders_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.BORDERS_QUERY, substitutes) - async def borders(self, region: Optional[str] = None) -> BordersDataFrame: + async def borders(self, region: str | None = None) -> BordersDataFrame: """Retrieve ACLineSegments where one terminal is inside and the other is outside the region Args: @@ -289,11 +291,11 @@ async def borders(self, region: Optional[str] = None) -> BordersDataFrame: df = await self.get_table_and_convert(query, index="mrid") return BordersDataFrame(df) - def exchange_query(self, region: Optional[str] = None) -> str: + def exchange_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.EXCHANGE_QUERY, substitutes) - async def exchange(self, region: Optional[str] = None) -> ExchangeDataFrame: + async def exchange(self, region: str | None = None) -> ExchangeDataFrame: """Retrieve ACLineSegments where one terminal is inside and the other is outside the region. Args: @@ -309,23 +311,23 @@ async def exchange(self, region: Optional[str] = None) -> ExchangeDataFrame: df = await self.get_table_and_convert(query, index="mrid") return ExchangeDataFrame(df) - def converters_query(self, region: Optional[str] = None) -> str: + def converters_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.CONVERTERS_QUERY, substitutes) - async def converters(self, region: Optional[str] = None) -> ConvertersDataFrame: + async def converters(self, region: str | None = None) -> ConvertersDataFrame: query = self.converters_query(region) df = await self.get_table_and_convert(query, index="mrid") return ConvertersDataFrame(df) - def transformers_connected_to_converter_query(self, region: Optional[str] = None) -> str: + def transformers_connected_to_converter_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query( templates.TRANSFORMERS_CONNECTED_TO_CONVERTER_QUERY, substitutes ) async def transformers_connected_to_converter( - self, region: Optional[str] = None + self, region: str | None = None ) -> TransfConToConverterDataFrame: """Query list of transformer connected at a converter (Voltage source or DC) @@ -337,12 +339,12 @@ async def transformers_connected_to_converter( df = await self.get_table_and_convert(query, index="mrid") return TransfConToConverterDataFrame(df) - def ac_lines_query(self, region: Optional[str] = None, rate: Optional[str] = None) -> str: + def ac_lines_query(self, region: str | None = None, rate: str | None = None) -> str: substitutes = {"region": region or ".*", "rate": rate or "Normal@20"} return self.template_to_query(templates.AC_LINE_QUERY, substitutes) async def ac_lines( - self, region: Optional[str] = None, rate: Optional[str] = None + self, region: str | None = None, rate: str | None = None ) -> AcLinesDataFrame: """Query ac line segments @@ -359,14 +361,12 @@ async def ac_lines( df = await self.get_table_and_convert(query, index="mrid") return AcLinesDataFrame(df) - def series_compensators_query( - self, region: Optional[str] = None, rate: Optional[str] = None - ) -> str: + def series_compensators_query(self, region: str | None = None, rate: str | None = None) -> str: substitutes = {"region": region or ".*", "rate": rate or "Normal@20"} return self.template_to_query(templates.SERIES_COMPENSATORS_QUERY, substitutes) async def series_compensators( - self, region: Optional[str] = None, rate: Optional[str] = None + self, region: str | None = None, rate: str | None = None ) -> BranchComponentDataFrame: """Query series compensators @@ -377,12 +377,12 @@ async def series_compensators( df = await self.get_table_and_convert(query, index="mrid") return BranchComponentDataFrame(df) - def transformers_query(self, region: Optional[str] = None, rate: Optional[str] = None) -> str: + def transformers_query(self, region: str | None = None, rate: str | None = None) -> str: substitutes = {"region": region or ".*", "rate": rate or "Normal@20"} return self.template_to_query(templates.TRANSFORMERS_QUERY, substitutes) async def transformers( - self, region: Optional[str] = None, rate: Optional[str] = None + self, region: str | None = None, rate: str | None = None ) -> TransformersDataFrame: """Query transformer windings. @@ -394,17 +394,17 @@ async def transformers( return TransformersDataFrame(df) def two_winding_transformers_query( - self, region: Optional[str] = None, rate: Optional[str] = None + self, region: str | None = None, rate: str | None = None ) -> str: substitutes = {"region": region or ".*", "rate": rate or "Normal@20"} return self.template_to_query(templates.TWO_WINDING_QUERY, substitutes) - def two_winding_angle_query(self, region: Optional[str] = None) -> str: + def two_winding_angle_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.TWO_WINDING_ANGLE_QUERY, substitutes) async def two_winding_transformers( - self, region: Optional[str] = None, rate: Optional[str] = None + self, region: str | None = None, rate: str | None = None ) -> TransformerWindingDataFrame: """Query two-winding transformer. @@ -429,18 +429,18 @@ async def two_winding_transformers( def winding_query(self) -> str: return self.template_to_query(templates.WINDING) - def three_winding_loss_query(self, region: Optional[str] = None) -> str: + def three_winding_loss_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.THREE_WINDING_LOSS_QUERY, substitutes) def three_winding_transformers_query( - self, region: Optional[str] = None, rate: Optional[str] = None + self, region: str | None = None, rate: str | None = None ) -> str: substitutes = {"region": region or ".*", "rate": rate or "Normal@20"} return self.template_to_query(templates.THREE_WINDING_QUERY, substitutes) async def three_winding_transformers( - self, region: Optional[str] = None, rate: Optional[str] = None + self, region: str | None = None, rate: str | None = None ) -> TransformerWindingDataFrame: """Query three-winding transformer. Return as three two-winding transformers. @@ -508,21 +508,21 @@ async def station_group_codes_and_names(self) -> StationGroupCodeNameDataFrame: df = await self.get_table_and_convert(self.st_group_codes_names_query) return StationGroupCodeNameDataFrame(df.set_index("station_group")) - def branch_node_withdraw_query(self, region: Optional[str] = None) -> str: + def branch_node_withdraw_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.BRANCH_NODE_WITHDRAW_QUERY, substitutes) - async def branch_node_withdraw(self, region: Optional[str] = None) -> BranchWithdrawDataFrame: + async def branch_node_withdraw(self, region: str | None = None) -> BranchWithdrawDataFrame: """Query branch flow from sv profile.""" query = self.branch_node_withdraw_query(region) df = await self.get_table_and_convert(query, index="mrid") return BranchWithdrawDataFrame(df) - def dc_active_flow_query(self, region: Optional[str] = None) -> str: + def dc_active_flow_query(self, region: str | None = None) -> str: substitutes = {"region": region or ".*"} return self.template_to_query(templates.DC_ACTIVE_POWER_FLOW_QUERY, substitutes) - async def dc_active_flow(self, region: Optional[str] = None) -> DcActiveFlowDataFrame: + async def dc_active_flow(self, region: str | None = None) -> DcActiveFlowDataFrame: query = self.dc_active_flow_query(region) df = await self.get_table_and_convert(query) # Unable to group on max within the sparql query so we do it here. @@ -579,15 +579,15 @@ async def ras_equipment(self) -> RASEquipmentDataFrame: df = await self.get_table_and_convert(self.ras_equipment_query) return RASEquipmentDataFrame(df) - def add_mrid_query(self, rdf_type: Optional[str] = None, graph: Optional[str] = None) -> str: + def add_mrid_query(self, rdf_type: str | None = None, graph: str | None = None) -> str: substitutes = {"rdf_type": rdf_type or "?rdf_type", "g": graph or "?g"} return self.template_to_query(templates.ADD_MRID_QUERY, substitutes) def add_mrid( self, - rdf_type: Optional[str] = None, - graph: Optional[str] = None, - client: Optional[GraphDBClient] = None, + rdf_type: str | None = None, + graph: str | None = None, + client: GraphDBClient | None = None, ) -> None: """ Add cim:IdentifiedObject.mRID to all records. It is copied from rdf:about (or rdf:ID) if @@ -608,18 +608,18 @@ class SingleClientModel(Model): def __init__( self, client: GraphDBClient, - config: Optional[ModelConfig] = None, - mapper: Optional[TypeMapper] = None, + config: ModelConfig | None = None, + mapper: TypeMapper | None = None, ) -> None: clients = defaultdict(lambda: client) super().__init__(clients, config, mapper) def get_cim_model( - service_cfg: Optional[ServiceConfig] = None, - model_cfg: Optional[ModelConfig] = None, + service_cfg: ServiceConfig | None = None, + model_cfg: ModelConfig | None = None, async_sparql_wrapper: bool = False, - custom_headers: Optional[Dict[str, str]] = None, + custom_headers: dict[str, str] | None = None, ) -> SingleClientModel: """ Function kept for backward compatibility. Use `get_single_client_model` instead. @@ -628,10 +628,10 @@ def get_cim_model( def get_single_client_model( - service_cfg: Optional[ServiceConfig] = None, - model_cfg: Optional[ModelConfig] = None, + service_cfg: ServiceConfig | None = None, + model_cfg: ModelConfig | None = None, async_sparql_wrapper: bool = False, - custom_headers: Optional[Dict[str, str]] = None, + custom_headers: dict[str, str] | None = None, ) -> SingleClientModel: """Get a CIM Model. @@ -642,7 +642,7 @@ def get_single_client_model( If False, the native SparqlWrapper sends requests via urllib custom_headers: Custom headers to be added to the requests """ - Client = AsyncGraphDBClient if async_sparql_wrapper else GraphDBClient + Client = AsyncGraphDBClient if async_sparql_wrapper else GraphDBClient # noqa N806 return SingleClientModel(Client(service_cfg, custom_headers), model_cfg) @@ -659,7 +659,7 @@ def get_federated_cim_model( eq_client: GraphDBClient, tpsvssh_client: GraphDBClient, model_cfg: ModelConfig, - mapper: Optional[TypeMapper] = None, + mapper: TypeMapper | None = None, ) -> Model: """ Return a CIM model where the equipment profile is located in one repo and the topology, diff --git a/cimsparql/templates.py b/cimsparql/templates.py index 5241dde0..bbfec181 100644 --- a/cimsparql/templates.py +++ b/cimsparql/templates.py @@ -3,7 +3,7 @@ def _read_template(filename: pathlib.Path) -> Template: - with open(filename, "r") as file: + with open(filename) as file: return Template(file.read()) diff --git a/cimsparql/type_mapper.py b/cimsparql/type_mapper.py index 9740b79f..fbf1aa17 100644 --- a/cimsparql/type_mapper.py +++ b/cimsparql/type_mapper.py @@ -1,8 +1,9 @@ from __future__ import annotations +from collections.abc import Callable, Generator from contextlib import contextmanager from decimal import Decimal -from typing import Any, Callable, Dict, Generator, Optional, Union +from typing import TYPE_CHECKING, Any import pandas as pd @@ -11,11 +12,12 @@ # Type-caster that can be used with pandas. It can be python types, numpy dtypes or string # value. Examples: float, "int", int, "string" -TYPE_CASTER = Union[Callable[[Any], Any], str] -SPARQL_TYPE = str -COL_NAME = str -PREFIX = str -URI = str +if TYPE_CHECKING: + TYPE_CASTER = Callable[[Any], Any] | str + SPARQL_TYPE = str + COL_NAME = str + PREFIX = str + URI = str as_type_able = [int, float, "Int64", "Int32", "Int16"] @@ -31,7 +33,7 @@ def to_timedelta(duration: str) -> pd.Timedelta: return pd.to_timedelta(duration) -def str_preserve_none(x: Any) -> Union[str, None]: +def str_preserve_none(x: Any) -> str | None: return None if pd.isna(x) else str(x) @@ -70,7 +72,7 @@ def enforce_no_limit(client: GraphDBClient) -> Generator[GraphDBClient, None, No client.service_cfg.limit = orig_limit -def build_type_map(prefixes: Dict[PREFIX, URI]) -> Dict[SPARQL_TYPE, TYPE_CASTER]: +def build_type_map(prefixes: dict[PREFIX, URI]) -> dict[SPARQL_TYPE, TYPE_CASTER]: short_map = {"xsd": XSD_TYPE_MAP, "cim": CIM_TYPE_MAP} type_map = {} @@ -86,8 +88,8 @@ def build_type_map(prefixes: Dict[PREFIX, URI]) -> Dict[SPARQL_TYPE, TYPE_CASTER class TypeMapper: def __init__( self, - service_cfg: Optional[ServiceConfig] = None, - custom_additions: Optional[Dict[str, Any]] = None, + service_cfg: ServiceConfig | None = None, + custom_additions: dict[str, Any] | None = None, ) -> None: self.client = GraphDBClient(service_cfg) @@ -96,16 +98,16 @@ def __init__( self.prim_type_map = build_type_map(self.client.prefixes) self.map = sparql_type_map | self.get_map() | self.prim_type_map | custom_additions - def have_cim_version(self, cim) -> bool: - return any(cim in val for val in self.map.keys()) + def have_cim_version(self, cim: str) -> bool: + return any(cim in val for val in self.map) - def type_map(self, df: pd.DataFrame) -> Dict[str, Any]: + def type_map(self, df: pd.DataFrame) -> dict[str, Any]: return { row.sparql_type: self.prim_type_map.get(row.range, str_preserve_none) for row in df.itertuples() } - def get_map(self) -> Dict[str, Any]: + def get_map(self) -> dict[str, Any]: """Reads all metadata from the sparql backend & creates a sparql-type -> python type map Args: @@ -124,15 +126,15 @@ def get_map(self) -> Dict[str, Any]: return self.type_map(df) def build_type_caster( - self, col_map: Dict[COL_NAME, SPARQL_TYPE] - ) -> Dict[COL_NAME, TYPE_CASTER]: + self, col_map: dict[COL_NAME, SPARQL_TYPE] + ) -> dict[COL_NAME, TYPE_CASTER]: """ Construct a direct mapping from column names to a type caster from the """ return {col: self.map[dtype] for col, dtype in col_map.items() if dtype in self.map} def map_data_types( - self, df: pd.DataFrame, col_map: Dict[COL_NAME, SPARQL_TYPE] + self, df: pd.DataFrame, col_map: dict[COL_NAME, SPARQL_TYPE] ) -> pd.DataFrame: """Maps the dtypes of a DataFrame to the python-corresponding types of the sparql-types from the source data @@ -152,7 +154,7 @@ def map_data_types( return df -def map_base_types(df: pd.DataFrame, type_map: Dict[COL_NAME, TYPE_CASTER]) -> pd.DataFrame: +def map_base_types(df: pd.DataFrame, type_map: dict[COL_NAME, TYPE_CASTER]) -> pd.DataFrame: """Maps the datatypes in type_map which can be used with the df.astype function Args: @@ -168,7 +170,7 @@ def map_base_types(df: pd.DataFrame, type_map: Dict[COL_NAME, TYPE_CASTER]) -> p return df -def map_exceptions(df: pd.DataFrame, type_map: Dict[COL_NAME, TYPE_CASTER]) -> pd.DataFrame: +def map_exceptions(df: pd.DataFrame, type_map: dict[COL_NAME, TYPE_CASTER]) -> pd.DataFrame: """Maps the functions/datatypes in type_map which cant be done with the df.astype function Args: diff --git a/cimsparql/url.py b/cimsparql/url.py index 81b0e2f2..596d0817 100644 --- a/cimsparql/url.py +++ b/cimsparql/url.py @@ -4,15 +4,15 @@ variables ("GRAPHDB_USER" & "GRAPHDB_USER_PASSWD"). """ +from __future__ import annotations import os -from typing import Dict, List, Optional -import requests +import httpx def service( - repo: Optional[str] = None, + repo: str | None = None, server: str = "127.0.0.1:7200", protocol: str = "https", path: str = "", @@ -30,7 +30,7 @@ def service( return url -def service_blazegraph(server: str, repo: str, protocol: str = "https"): +def service_blazegraph(server: str, repo: str, protocol: str = "https") -> str: return f"{protocol}://{server}/{repo}/sparql" @@ -39,7 +39,7 @@ def __init__( self, server: str = "127.0.0.1:7200", protocol: str = "https", - auth: requests.auth.AuthBase = None, + auth: httpx.BasicAuth | None = None, ) -> None: """Get repo configuration from GraphDB @@ -50,20 +50,18 @@ def __init__( """ self._service = service(None, server, protocol) if auth is None: - auth = requests.auth.HTTPBasicAuth( - os.getenv("GRAPHDB_USER"), os.getenv("GRAPHDB_USER_PASSWD") + auth = httpx.BasicAuth( + os.getenv("GRAPHDB_USER", ""), os.getenv("GRAPHDB_USER_PASSWD", "") ) try: - response = requests.get( - self._service, headers={"Accept": "application/json"}, auth=auth - ) + response = httpx.get(self._service, headers={"Accept": "application/json"}, auth=auth) response.raise_for_status() self._repos = response.json()["results"]["bindings"] - except (requests.exceptions.RequestException, KeyError): - self._repos: List[Dict[str, Dict[str, str]]] = [] + except (httpx.RequestError, KeyError): + self._repos: list[dict[str, dict[str, str]]] = [] @property - def repos(self) -> List[str]: + def repos(self) -> list[str]: """List of available repos on GraphDB server.""" if self._repos: return [repo["id"]["value"] for repo in self._repos] diff --git a/cimsparql/value_mapper.py b/cimsparql/value_mapper.py index bba0a199..3ae418e2 100644 --- a/cimsparql/value_mapper.py +++ b/cimsparql/value_mapper.py @@ -2,7 +2,7 @@ class ValueMapper: - def map(self, df: pd.DataFrame) -> pd.DataFrame: + def map(self, df: pd.DataFrame) -> pd.DataFrame: # noqa A003 return df @@ -15,7 +15,7 @@ class MridMapper(ValueMapper): def __init__(self, uri_regex: str = "^([^#_|^#]+)(#_|#)") -> None: self.uri_regex = uri_regex - def map(self, df: pd.DataFrame) -> pd.DataFrame: + def map(self, df: pd.DataFrame) -> pd.DataFrame: # noqa A003 for col in filter(lambda col: "mrid" in col, df.columns): df[col] = df[col].str.replace(self.uri_regex, "", regex=True) return df diff --git a/docs/conf.py b/docs/conf.py index d6c1674a..06aaa9dc 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -49,15 +49,15 @@ autosectionlabel_prefix_document = True napoleon_include_private_with_doc = True -inheritance_node_attrs = dict( - shape="folder", - fontsize=14, - height=0.75, - fillcolor="SteelBlue1", - style="filled", - arrowType="open", - arrowSize=1.2, -) +inheritance_node_attrs = { + "shape": "folder", + "fontsize": 14, + "height": 0.75, + "fillcolor": "SteelBlue1", + "style": "filled", + "arrowType": "open", + "arrowSize": 1.2, +} 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"webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, - {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, -] - [[package]] name = "werkzeug" version = "2.3.7" @@ -3010,22 +1841,7 @@ files = [ {file = "wrapt-1.15.0.tar.gz", hash = "sha256:d06730c6aed78cee4126234cf2d071e01b44b915e725a6cb439a879ec9754a3a"}, ] -[[package]] -name = "zipp" -version = "3.16.2" -description = "Backport of pathlib-compatible object wrapper for zip files" -optional = false -python-versions = ">=3.8" -files = [ - {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, - {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, -] - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] - [metadata] lock-version = "2.0" -python-versions = "^3.9" -content-hash = "f3c637145dda02f829be94192b0f3d7f308e1a5fce5108ff03f4766516f58c14" +python-versions = "^3.10" +content-hash = "a819e1641a4539458f8d8a7d24b6f050bf4fd40967ee81c809380a533370c15d" diff --git a/pyproject.toml b/pyproject.toml index 4655cf06..f8b2b721 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,36 +13,26 @@ SPARQLWrapper = "*" StrEnum = "*" pandera = "*" pandas = "*" -python = "^3.9" -requests = "*" +python = "^3.10" httpx = "*" -[tool.poetry.dev-dependencies] +[tool.poetry.group.test.dependencies] asyncio = "*" -autopep8 = "*" -black = { version = "*", allow-prereleases = true } coverage = { version = "*", extras = ['toml'] } -flake8 = "*" -flake8-bugbear = "*" -flake8-builtins = "*" -flake8-comprehensions = "*" -flake8-debugger = "*" -flake8-eradicate = "*" -flake8-mutable = "*" -flake8-simplify = "*" -isort = ">= 5" mock = "*" -mypy-ls = "*" -pre-commit = "*" -pylint = "*" -pyls-flake8 = "*" -pyls-memestra = "*" pytest = ">= 6" pytest-asyncio = "*" pytest-cov = "*" +pytest-httpserver = "*" pytest-integration = "*" pytest-profiling = "*" -pytest-httpserver = "*" + +[tool.poetry.group.style.dependencies] +black = "*" +ruff = "*" + +[tool.poetry.group.dev.dependencies] +pre-commit = "*" [tool.poetry.group.docs] optional = true @@ -59,9 +49,89 @@ vcs = "git" style = "semver" pattern = '^(?P\d+\.\d+\.\d+)(-?((?P[a-zA-Z]+)\.?(?P\d+)?))?$' -[tool.isort] -profile = "black" -line_length = 100 +[tool.ruff] +select = [ + "A", # flake8-builtins + "ANN", # flake8-annotations + "ARG", # flake8-unused-arguments + "B", # flake8-bugbear + "C4", # flake8-comprehensions + "C90", # mccabe + "COM", # flake8-commas + "DTZ", # flake8-datetimez + "E", "W", # pycodestyle + "F", # Pyflakes + "FLY", # flynt + "FURB", # refurb + "I", # isort + "N", # pep8-nameing + "NPY", # numpy specific rules + "PERF", # Perflint + "PIE", # flake8-pie + "RUF", # Ruff specific rules + "S", # flake8-bandit + "SIM", # flake8-simplify + "T20", # flake8-print + "TCH001", # flake8-type-checking + "TRY", # tryceratops + "UP", # pyupgrade + "YTT", # flake8-2020 +] + +ignore = ['S101', 'COM812', 'ANN101', 'ANN102', 'ANN401', 'TRY003'] + +# Allow autofix for all enabled rules (when `--fix`) is provided. +fixable = ["A", "B", "C", "D", "E", "F", "G", "I", "N", "Q", "S", "T", "W", "ANN", "ARG", "BLE", "COM", "DJ", "DTZ", "EM", "ERA", "EXE", "FBT", "ICN", "INP", "ISC", "NPY", "PD", "PGH", "PIE", "PL", "PT", "PTH", "PYI", "RET", "RSE", "RUF", "SIM", "SLF", "TCH", "TID", "TRY", "UP", "YTT"] +unfixable = [] + +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".mypy_cache", + ".nox", + ".pants.d", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "venv", +] + +# Same as Black. +line-length = 100 + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +# Assume Python 3.10 +target-version = "py310" + +[tool.ruff.per-file-ignores] +"docs/conf.py" = ["A001"] +"tests/test*.py" = ["ANN201"] + +[tool.ruff.pep8-naming] +# Allow Pydantic's `@validator` decorator to trigger class method treatment. +classmethod-decorators = ["pandera.dataframe_check"] + +[tool.ruff.flake8-import-conventions] + +[tool.ruff.flake8-import-conventions.aliases] +# Declare the default aliases. +pandas = "pd" +pandera = "pa" [tool.black] line-length = 100 diff --git a/tests/conftest.py b/tests/conftest.py index 3682438d..c0694bea 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -12,7 +12,7 @@ @pytest.fixture(scope="session", autouse=True) -def delete_models(): +def delete_models() -> None: """ Fixture for deleting micro model repos created in during tests """ @@ -25,7 +25,7 @@ def delete_models(): @pytest.fixture(scope="session", autouse=True) -def delete_picasso_repo(): +def delete_picasso_repo() -> None: yield with suppress(Exception): client = t_common.initialized_rdf4j_repo() diff --git a/tests/t_utils/common.py b/tests/t_utils/common.py index e8cdcd3a..1f5ce356 100644 --- a/tests/t_utils/common.py +++ b/tests/t_utils/common.py @@ -1,20 +1,24 @@ +from __future__ import annotations + import functools import os from dataclasses import dataclass from pathlib import Path -from typing import Optional +from typing import TYPE_CHECKING import pytest from cimsparql.graphdb import GraphDBClient, config_bytes_from_template, confpath, new_repo -from cimsparql.model import Model + +if TYPE_CHECKING: + from cimsparql.model import Model this_dir = Path(__file__).parent @dataclass class ModelTest: - model: Optional[Model] = None + model: Model | None = None must_run_in_ci: bool = True cleanup: bool = True @@ -51,7 +55,7 @@ def blazegraph_url() -> str: return os.getenv("BLAZEGRAPH_URL", "") -def check_model(test_model: ModelTest): +def check_model(test_model: ModelTest) -> None: if not test_model.model: if test_model.must_run_in_ci and os.getenv("CI"): pytest.fail("Micro model test can not be skipped in CI pipelines") diff --git a/tests/t_utils/custom_models.py b/tests/t_utils/custom_models.py index 135b79f5..a6867eb0 100644 --- a/tests/t_utils/custom_models.py +++ b/tests/t_utils/custom_models.py @@ -1,10 +1,8 @@ import functools import logging import os -from typing import List import t_utils.common as t_common - from cimsparql.graphdb import GraphDBClient, ServiceConfig from cimsparql.model import ModelConfig, get_federated_cim_model, get_single_client_model @@ -12,7 +10,7 @@ def combined_graphdb_service() -> ServiceConfig: - repo = os.getenv("GRAPHDB_COMBINED-repo", "abot_combined") + repo = os.getenv("GRAPHDB_COMBINED_REPO", "abot_combined") return ServiceConfig(repo=repo) @@ -26,8 +24,8 @@ def combined_model() -> t_common.ModelTest: model = None try: model = get_single_client_model(service, ModelConfig(system_state_repo, eq_repo)) - except Exception as exc: - logger.error(f"{exc}") + except Exception: + logger.exception("Failed to get single client model") return t_common.ModelTest(model, False, False) @@ -48,10 +46,10 @@ def federated_model() -> t_common.ModelTest: model = None try: model = get_federated_cim_model(eq_client, tpsvssh_client, m_cfg) - except Exception as exc: - logger.error(f"{exc}") + except Exception: + logger.exception("Failed to get federated model") return t_common.ModelTest(model, False, False) -def all_custom_models() -> List[t_common.ModelTest]: +def all_custom_models() -> list[t_common.ModelTest]: return [combined_model(), federated_model()] diff --git a/tests/t_utils/entsoe_models.py b/tests/t_utils/entsoe_models.py index 17b85f7e..9da977b8 100644 --- a/tests/t_utils/entsoe_models.py +++ b/tests/t_utils/entsoe_models.py @@ -3,10 +3,8 @@ import os import re from pathlib import Path -from typing import List import t_utils.common as t_common - from cimsparql.graphdb import GraphDBClient, RestApi, ServiceConfig, new_repo_blazegraph from cimsparql.model import ( ModelConfig, @@ -20,7 +18,7 @@ logger = logging.getLogger() -def micro_t1_nl_graphdb(): +def micro_t1_nl_graphdb() -> t_common.ModelTest: repo = os.getenv("GRAPHDB_MICRO_NL_REPO", "abot-micro-nl") model = None try: @@ -28,8 +26,8 @@ def micro_t1_nl_graphdb(): m_cfg = ModelConfig(system_state_repo=f"repository:{repo}", eq_repo=f"repository:{repo}") if os.getenv("GRAPHDB_SERVER"): model = get_single_client_model(s_cfg, m_cfg) - except Exception as exc: - logger.error(f"{exc}") + except Exception: + logger.exception("Failed to get single model") return t_common.ModelTest(model, False, False) @@ -45,7 +43,7 @@ def split_tpsvssh(fname: Path) -> tuple[list[str], list[str]]: # Regex extracts the content between < > of the last occurence on each line prog = re.compile(r"<([^>]+)>[^>]+$") - with open(fname, "r") as infile: + with open(fname) as infile: for line in infile: m = prog.search(line) if m and m.group(1) in tpsvssh_contexts: @@ -56,7 +54,7 @@ def split_tpsvssh(fname: Path) -> tuple[list[str], list[str]]: @functools.lru_cache -def federated_micro_t1_nl_bg(): +def federated_micro_t1_nl_bg() -> t_common.ModelTest: model = None url = t_common.blazegraph_url() try: @@ -74,12 +72,12 @@ def federated_micro_t1_nl_bg(): eq_repo=eq_client.service_cfg.url + ",infer=false", ) model = get_federated_cim_model(eq_client, tpsvssh_client, m_cfg) - except Exception as exc: - logger.error(f"{exc}") + except Exception: + logger.exception("Failed to get federated cim model") return t_common.ModelTest(model) -def upload_micro_model(client: GraphDBClient): +def upload_micro_model(client: GraphDBClient) -> None: name = "micro_t1_nl" nq_file = this_dir.parent / f"data/{name}.nq" graph = "" @@ -98,8 +96,8 @@ def micro_t1_nl() -> t_common.ModelTest: client = t_common.init_repo_rdf4j(url, "micro_t1_nl") upload_micro_model(client) model = SingleClientModel(client) - except Exception as exc: - logger.error(f"{exc}") + except Exception: + logger.exception("Failed to get single client model") return t_common.ModelTest(model) @@ -111,14 +109,14 @@ def micro_t1_nl_bg() -> t_common.ModelTest: client = new_repo_blazegraph(url, "micro_t1_nl", "http") upload_micro_model(client) model = SingleClientModel(client) - except Exception as exc: - logger.error(f"{exc}") + except Exception: + logger.exception("Failed to get single client model") return t_common.ModelTest(model) @functools.lru_cache def small_grid_model(url: str, api: RestApi) -> t_common.ModelTest: - def bg_http(url: str, name: str): + def bg_http(url: str, name: str) -> GraphDBClient: return new_repo_blazegraph(url, name, "http") model = None @@ -136,16 +134,16 @@ def bg_http(url: str, name: str): eq_repo=eq_client.service_cfg.url, ) model = get_federated_cim_model(eq_client, tpsvssh_client, m_cfg) - except Exception as exc: - logger.error(f"{exc}") + except Exception: + logger.exception("Failed to get federated model") return t_common.ModelTest(model) -def micro_models() -> List[t_common.ModelTest]: +def micro_models() -> list[t_common.ModelTest]: return [micro_t1_nl(), micro_t1_nl_bg(), federated_micro_t1_nl_bg()] -def smallgrid_models() -> List[t_common.ModelTest]: +def smallgrid_models() -> list[t_common.ModelTest]: bg_model = small_grid_model(t_common.blazegraph_url(), RestApi.BLAZEGRAPH) rdfj4_model = small_grid_model(t_common.rdf4j_url(), RestApi.RDF4J) return [rdfj4_model, bg_model] diff --git a/tests/test_async_sparql_wrapper.py b/tests/test_async_sparql_wrapper.py index 515849f3..eabc07ae 100644 --- a/tests/test_async_sparql_wrapper.py +++ b/tests/test_async_sparql_wrapper.py @@ -18,7 +18,7 @@ ], ) @pytest.mark.asyncio -async def test_async_rdf4j_picasso_data(query, expect): +async def test_async_rdf4j_picasso_data(query: str, expect: list[dict[str, str]]): try: client = t_common.initialized_rdf4j_repo() except Exception as exc: diff --git a/tests/test_cimmodel.py b/tests/test_cimmodel.py index 4b5e4415..455b738e 100644 --- a/tests/test_cimmodel.py +++ b/tests/test_cimmodel.py @@ -1,13 +1,16 @@ +from pathlib import Path +from typing import Any +from unittest.mock import Mock + import pytest -from mock import Mock from cimsparql.graphdb import GraphDBClient from cimsparql.model import Model, ModelConfig, get_federated_cim_model, query_name from cimsparql.templates import sparql_folder -def test_map_data_types(monkeypatch): - def cim_init(self, *args): +def test_map_data_types(monkeypatch: pytest.MonkeyPatch): + def cim_init(self: Model, *_: Any) -> None: self.mapper = Mock(have_cim_version=Mock(return_value=True)) self.clients = {"default": Mock(prefixes={"cim": None})} @@ -16,8 +19,8 @@ def cim_init(self, *args): assert cim_model.map_data_types -def test_not_map_data_types(monkeypatch): - def cim_init(self, *args): +def test_not_map_data_types(monkeypatch: pytest.MonkeyPatch): + def cim_init(self: Model, *_: Any) -> None: self.mapper = Mock(have_cim_version=Mock(return_value=False)) self.clients = {"default": Mock(prefixes={"cim": None})} @@ -27,8 +30,8 @@ def cim_init(self, *args): @pytest.mark.parametrize("sparql_query", sparql_folder.glob("*.sparql")) -def test_name_in_header(sparql_query): - with open(sparql_query, "r") as infile: +def test_name_in_header(sparql_query: Path): + with open(sparql_query) as infile: line = infile.readline() assert line.startswith("# Name: ") @@ -36,7 +39,7 @@ def test_name_in_header(sparql_query): def test_unique_headers(): headers = [] for f in sparql_folder.glob("*.sparql"): - with open(f, "r") as infile: + with open(f) as infile: headers.append(infile.readline()) assert len(headers) == len(set(headers)) @@ -65,7 +68,7 @@ class MockTypeMapper: query_names = [] for f in sparql_folder.glob("*.sparql"): - with open(f, "r") as infile: + with open(f) as infile: query_names.append(query_name(infile.read())) queries_with_client = set(model.clients.keys()) diff --git a/tests/test_graphdb.py b/tests/test_graphdb.py index c8258fbf..6af96b60 100644 --- a/tests/test_graphdb.py +++ b/tests/test_graphdb.py @@ -2,16 +2,15 @@ import os import re from base64 import b64encode +from collections.abc import Callable from http import HTTPStatus -from typing import Callable, List import httpx import pandas as pd import pytest -import requests import t_utils.common as t_common import t_utils.custom_models as t_custom -from pytest_httpserver import HeaderValueMatcher +from pytest_httpserver import HeaderValueMatcher, HTTPServer from cimsparql.graphdb import ( AsyncGraphDBClient, @@ -28,7 +27,7 @@ from cimsparql.type_mapper import TypeMapper -async def collect_data(model: Model) -> List[pd.DataFrame]: +async def collect_data(model: Model) -> list[pd.DataFrame]: result = await asyncio.gather( model.ac_lines(), model.borders(), @@ -94,7 +93,7 @@ async def test_regions(model: SingleClientModel): async def test_hvdc_converters_bidzones(model: SingleClientModel): df = await model.hvdc_converter_bidzones() - corridors = set(zip(df["from_area"], df["to_area"])) + corridors = set(zip(df["from_area"], df["to_area"], strict=True)) # Check data quality in the models expect_corridors = {("SE4", "SE3"), ("NO2", "DE"), ("NO2", "DK1"), ("NO2", "GB"), ("NO2", "NL")} @@ -133,23 +132,20 @@ def test_dtypes(model: SingleClientModel): assert df["sparql_type"].isna().sum() == 0 -def test_prefix_resp_not_ok(monkeypatch): - resp = requests.Response() - resp.status_code = 401 - resp.reason = "Something went wrong" - monkeypatch.setattr(requests, "get", lambda *args, **kwargs: resp) - +def test_prefix_resp_not_ok(monkeypatch: pytest.MonkeyPatch): + resp = httpx.Response(status_code=HTTPStatus.UNAUTHORIZED, text="Something went wrong") + monkeypatch.setattr(httpx, "get", lambda *_, **__: resp) with pytest.raises(RuntimeError) as exc: GraphDBClient(ServiceConfig(server="some-serever")).get_prefixes() - assert resp.reason in str(exc) - assert str(resp.status_code) in str(exc) + assert resp.reason_phrase in str(exc) + assert f"{resp.status_code}" in str(exc) def test_conf_bytes_from_template(): template = confpath() / "native_store_config_template.ttl" conf_bytes = config_bytes_from_template(template, {"repo": "test_repo"}) - conf_str = conf_bytes.decode("utf8") + conf_str = conf_bytes.decode() assert 'rep:repositoryID "test_repo"' in conf_str @@ -186,7 +182,7 @@ async def test_create_delete_repo(): @pytest.mark.asyncio -async def test_repos_with_auth(httpserver): +async def test_repos_with_auth(httpserver: HTTPServer): response_json = { "results": { "bindings": [ @@ -221,8 +217,8 @@ async def test_repos_with_auth(httpserver): assert repo_info == [expect] -def test_update_prefixes(monkeypatch): - monkeypatch.setattr(GraphDBClient, "get_prefixes", lambda *args: {}) +def test_update_prefixes(monkeypatch: pytest.MonkeyPatch): + monkeypatch.setattr(GraphDBClient, "get_prefixes", lambda *_: {}) client = GraphDBClient(ServiceConfig(server="some-server")) assert client.prefixes == {} diff --git a/tests/test_graphdb_config.py b/tests/test_graphdb_config.py index 8735c7c2..4dcd15b4 100644 --- a/tests/test_graphdb_config.py +++ b/tests/test_graphdb_config.py @@ -1,27 +1,27 @@ import os +from unittest.mock import MagicMock, Mock, patch -import requests -from mock import MagicMock, patch +from httpx import RequestError from cimsparql.url import GraphDbConfig, service -@patch("cimsparql.url.requests.get") -def test_set_repos_with_response_but_key_error(get_mock): +@patch("cimsparql.url.httpx.get") +def test_set_repos_with_response_but_key_error(get_mock: Mock): get_mock.return_value = MagicMock(json=MagicMock(side_effect=KeyError())) config = GraphDbConfig() assert config.repos == [] -@patch("cimsparql.url.requests.get") -def test_set_repos_no_response(get_mock): - get_mock.side_effect = requests.exceptions.RequestException() +@patch("cimsparql.url.httpx.get") +def test_set_repos_no_response(get_mock: Mock): + get_mock.side_effect = RequestError("") config = GraphDbConfig() assert config.repos == [] def test_local_graphdb_config_service(): - server = os.getenv("GRAPHDB_SERVER") + server = os.getenv("GRAPHDB_SERVER", "127.0.0.1:7200") config = GraphDbConfig(server) assert config._service == service(server=server) diff --git a/tests/test_micro_t1_nl.py b/tests/test_micro_t1_nl.py index 0c0bf61e..1b99ba6a 100644 --- a/tests/test_micro_t1_nl.py +++ b/tests/test_micro_t1_nl.py @@ -1,7 +1,7 @@ import contextlib import logging from copy import deepcopy -from typing import Any, Dict, Set +from typing import Any import pandas as pd import pytest @@ -125,7 +125,7 @@ async def test_loads(test_model: t_common.ModelTest): ("BE", {"BE-G1"}), ], ) -async def test_sync_machines(test_model: t_common.ModelTest, region: str, expected_names: Set[str]): +async def test_sync_machines(test_model: t_common.ModelTest, region: str, expected_names: set[str]): t_common.check_model(test_model) data = await test_model.model.synchronous_machines(region) assert expected_names == set(data["name"]) @@ -174,12 +174,12 @@ async def test_aclines(test_model: t_common.ModelTest): }, ], ) -async def test_transformers(test_model: t_common.ModelTest, params: Dict[str, Any]): +async def test_transformers(test_model: t_common.ModelTest, params: dict[str, Any]): t_common.check_model(test_model) data = await test_model.model.transformers(params["region"]) assert len(data) == params["num"] end_num_count = data["end_number"].value_counts() - assert sorted(list(end_num_count)) == params["end_num_count"] + assert sorted(end_num_count) == params["end_num_count"] assert set(data["name"].unique()) == params["expect_names"] @@ -189,7 +189,7 @@ async def test_transformers(test_model: t_common.ModelTest, params: Dict[str, An "params", [{"region": ".*", "num": 15, "num_transf": 7}, {"region": "NL", "num": 6, "num_transf": 3}], ) -async def test_transformers_connectivity(test_model: t_common.ModelTest, params: Dict[str, Any]): +async def test_transformers_connectivity(test_model: t_common.ModelTest, params: dict[str, Any]): t_common.check_model(test_model) data = await test_model.model.transformers(params["region"]) diff --git a/tests/test_model_properties.py b/tests/test_model_properties.py index 1fb590ba..d7c31064 100644 --- a/tests/test_model_properties.py +++ b/tests/test_model_properties.py @@ -1,16 +1,18 @@ +from __future__ import annotations + import asyncio import os from dataclasses import dataclass from string import Template -from typing import Union +from typing import TYPE_CHECKING import pandas as pd import pytest import t_utils.custom_models as t_custom import t_utils.entsoe_models as t_entsoe -from cimsparql.data_models import BusDataFrame -from cimsparql.model import Model +if TYPE_CHECKING: + from cimsparql.data_models import BusDataFrame swing_bus_query = Template( """ @@ -31,14 +33,17 @@ class NodeConsistencyData: swing_buses: pd.DataFrame -# Alias for a dict with node consistency data. The key should be the name -# of the model -CONSISTENCY_DATA = dict[str, Union[NodeConsistencyData, None]] +if TYPE_CHECKING: + # Alias for a dict with node consistency data. The key should be the name + # of the model + from cimsparql.model import Model + + CONSISTENCY_DATA = dict[str, NodeConsistencyData | None] async def get_node_consistency_test_data( - model: Union[Model, None], -) -> Union[NodeConsistencyData, None]: + model: Model | None, +) -> NodeConsistencyData | None: if model is None: return None bus = await model.bus_data() @@ -65,8 +70,8 @@ async def get_node_consistency_test_data( swing_buses = await model.get_table_and_convert(model.template_to_query(swing_bus_query)) return NodeConsistencyData( bus, - dict(zip(two_node_names, two_node_dfs)), - dict(zip(single_node_names, single_node_dfs)), + dict(zip(two_node_names, two_node_dfs, strict=True)), + dict(zip(single_node_names, single_node_dfs, strict=True)), swing_buses, ) diff --git a/tests/test_rdf4j.py b/tests/test_rdf4j.py index a81ffec2..8400e89f 100644 --- a/tests/test_rdf4j.py +++ b/tests/test_rdf4j.py @@ -1,8 +1,10 @@ +from __future__ import annotations + import os +from collections.abc import Generator from copy import deepcopy from pathlib import Path from string import Template -from typing import Optional import pytest import t_utils.common as t_common @@ -10,7 +12,7 @@ from cimsparql.graphdb import GraphDBClient, RestApi -def skip_rdf4j_test(rdf4j_gdb: Optional[GraphDBClient]) -> bool: +def skip_rdf4j_test(rdf4j_gdb: GraphDBClient | None) -> bool: # On CI in GitHub these tests should always run return not (rdf4j_gdb or os.getenv("CI")) @@ -36,7 +38,7 @@ def rdf4j_gdb() -> GraphDBClient: ), ], ) -def test_rdf4j_picasso_data(rdf4j_gdb: GraphDBClient, query, expect): +def test_rdf4j_picasso_data(rdf4j_gdb: GraphDBClient, query: str, expect: list[dict[str, str]]): prefixes = Template("PREFIX ex:<${ex}>\nPREFIX foaf:<${foaf}>").substitute(rdf4j_gdb.prefixes) result = rdf4j_gdb.exec_query(f"{prefixes}\n{query}") assert result == expect @@ -47,7 +49,7 @@ def test_rdf4j_prefixes(rdf4j_gdb: GraphDBClient): @pytest.fixture -def upload_client() -> GraphDBClient: +def upload_client() -> Generator[GraphDBClient, None, None]: client = None try: yield t_common.init_repo_rdf4j(t_common.rdf4j_url(), "upload") @@ -94,7 +96,7 @@ def test_upload_with_context(upload_client: GraphDBClient): assert len(df) == 1 -def test_direct_sparql_endpoint(rdf4j_gdb): +def test_direct_sparql_endpoint(rdf4j_gdb: GraphDBClient): service_cfg_direct = deepcopy(rdf4j_gdb.service_cfg) service_cfg_direct.server = rdf4j_gdb.service_cfg.url service_cfg_direct.rest_api = RestApi.DIRECT_SPARQL_ENDPOINT diff --git a/tests/test_type_mapper.py b/tests/test_type_mapper.py index 5f50423e..47e7a723 100644 --- a/tests/test_type_mapper.py +++ b/tests/test_type_mapper.py @@ -1,12 +1,14 @@ +from __future__ import annotations + import datetime from decimal import Decimal -from typing import Optional import numpy as np import pandas as pd import pandera as pa import pytest from pandas.testing import assert_frame_equal +from pytest_httpserver import HTTPServer from cimsparql import type_mapper from cimsparql.data_models import JsonSchemaOut @@ -14,7 +16,9 @@ from cimsparql.model import ServiceConfig -def init_triple_store_server(httpserver, sparql_result: Optional[dict] = None) -> ServiceConfig: +def init_triple_store_server( + httpserver: HTTPServer, sparql_result: dict | None = None +) -> ServiceConfig: """ Create a triple store server that returns sparql_result_data when a call is made """ @@ -34,13 +38,13 @@ def test_python_type_map_bool(): assert not type_mapper.XSD_TYPE_MAP["boolean"]("FALSE") -def test_get_map_empty_pandas(httpserver): +def test_get_map_empty_pandas(httpserver: HTTPServer): service_cfg = init_triple_store_server(httpserver) mapper = type_mapper.TypeMapper(service_cfg) assert mapper.get_map() == {} -def test_map_data_types(httpserver): +def test_map_data_types(httpserver: HTTPServer): results = { "sparql_type": ["http://c#Degrees", "http://c#Status", "http://c#Amount"], "range": ["http://x#Float", "http://x#Bool", "http://x#Integer"], @@ -89,7 +93,10 @@ def test_map_data_types(httpserver): ("boolean", ("1", True)), ("boolean", ("0", False)), ("date", ("2021-12-14", pd.Timestamp("2021-12-14 00:00:00"))), - ("dateTime", ("2002-10-14T12:00:00", datetime.datetime(2002, 10, 14, 12, 0, 0))), + ( + "dateTime", + ("2002-10-14T12:00:00", datetime.datetime(2002, 10, 14, 12, 0, 0)), # noqa DTZ001 + ), ("dateTime", ("2002-10-14T12:00:00Z", pd.Timestamp("2002-10-14 12:00:00+0000", tz="UTC"))), ("duration", ("P365D", datetime.timedelta(365))), ("duration", ("-P365D", datetime.timedelta(-365))), @@ -115,7 +122,7 @@ def test_xsd_types(dtype: str, test: tuple): ("16", True), ], ) -def test_have_cim_version(httpserver, cim_version: int, have_cim_version: bool): +def test_have_cim_version(httpserver: HTTPServer, cim_version: int, have_cim_version: bool): service_cfg = init_triple_store_server(httpserver) tm = type_mapper.TypeMapper(service_cfg) assert tm.have_cim_version(cim_version) == have_cim_version @@ -132,7 +139,7 @@ class FloatSchema(JsonSchemaOut): ({"float_col": ["1.0", None]}, {"float_col": [1.0, np.nan]}), ], ) -def test_coerce_missing_type(httpserver, in_data: dict, out_data: dict): +def test_coerce_missing_type(httpserver: HTTPServer, in_data: dict, out_data: dict): client = init_triple_store_server(httpserver) in_df, out_df = pd.DataFrame(in_data), pd.DataFrame(out_data) mapper = type_mapper.TypeMapper(client) @@ -142,7 +149,7 @@ def test_coerce_missing_type(httpserver, in_data: dict, out_data: dict): pd.testing.assert_frame_equal(df, out_df) -def test_coerce_float_from_literal(httpserver): +def test_coerce_float_from_literal(httpserver: HTTPServer): client = init_triple_store_server(httpserver) mapper = type_mapper.TypeMapper(client)