diff --git a/.github/workflows/publish-client.yml b/.github/workflows/publish-client.yml new file mode 100644 index 0000000..1d9a74d --- /dev/null +++ b/.github/workflows/publish-client.yml @@ -0,0 +1,94 @@ +name: test_and_publish + +on: + push: + tags: + - 'client-*' + +jobs: + test: + runs-on: ubuntu-latest + defaults: + run: + working-directory: ./python-package/cartiflette + steps: + #---------------------------------------------- + # check-out repo and set-up python + #---------------------------------------------- + - name: Check out repository + uses: actions/checkout@v3 + - name: Set up python + id: setup-python + uses: actions/setup-python@v4 + with: + python-version: '3.9' + #---------------------------------------------- + # ----- install & configure poetry ----- + #---------------------------------------------- + - name: Install Poetry + uses: snok/install-poetry@v1 + + #---------------------------------------------- + # install dependencies if cache does not exist + #---------------------------------------------- + - name: Install dependencies + run: poetry install --no-interaction --without dev + + #---------------------------------------------- + # add only pytest for tests (not the full dev dependencies) + #---------------------------------------------- + - name: Add pytest + run: poetry run pip install pytest + + #---------------------------------------------- + # add only pytest-cov for tests (not the full dev dependencies) + #---------------------------------------------- + - name: Add pytest-cov + run: poetry run pip install pytest-cov + + #---------------------------------------------- + # run test suite + #---------------------------------------------- + - name: Run tests + run: poetry run pytest --cov -W error + + publish: + runs-on: ubuntu-latest + defaults: + run: + working-directory: ./python-package/cartiflette + needs: test + steps: + #---------------------------------------------- + # check-out repo and set-up python + #---------------------------------------------- + - name: Check out repository + uses: actions/checkout@v3 + - name: Set up python + id: setup-python + uses: actions/setup-python@v4 + with: + python-version: '3.9' + #---------------------------------------------- + # ----- install & configure poetry ----- + #---------------------------------------------- + - name: Install Poetry + uses: snok/install-poetry@v1 + + #---------------------------------------------- + # config pypi token + #---------------------------------------------- + - name: Set pypi token + run: poetry config pypi-token.pypi ${{secrets.PAT_PYPI}} + + #---------------------------------------------- + # build + #---------------------------------------------- + - name: Build + run: poetry build + + #---------------------------------------------- + # run test suite + #---------------------------------------------- + - name: Publish to Pypi + run: poetry publish \ No newline at end of file diff --git a/python-package/cartiflette/README.md b/python-package/cartiflette/README.md new file mode 100644 index 0000000..07efca9 --- /dev/null +++ b/python-package/cartiflette/README.md @@ -0,0 +1,68 @@ +# Cartiflette [![](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) ![](https://cdn.simpleicons.org/python/00ccff99?viewbox=auto&size=18) + + +`cartiflette` est un projet pour faciliter l’association de sources +géographiques en proposant des récupérations facilitées de coutours de +cartes officiels. + +Une documentation interactive est disponible [ici](https://inseefrlab.github.io/cartiflette-website/index.html). + +L'objectif de `cartiflette` est d'offrir des méthodes fiables, +reproductibles et multi-langages pour récupérer des fonds de carte officiels de l'IGN +enrichis de métadonnées utiles pour la cartographie et la _data science_. + +La librairie python `cartiflette` ![](https://cdn.simpleicons.org/python/00ccff99?viewbox=auto&size=18) permet la récupération des fonds de carte de l'IGN. + +## Installer la librairie python ![](https://cdn.simpleicons.org/python/00ccff99?viewbox=auto&size=18) +``` python +pip install cartiflette +``` + + +## Exemples + +Plus d'exemples sont disponibles dans la [documentation interactive](https://inseefrlab.github.io/cartiflette-website/index.html). + +Exemple de récupération du fonds de carte des départements avec les DROM rapprochés de la France métropolitaine +``` python +from cartiflette import carti_download + +data = carti_download( + values = ["France"], + crs = 4326, + borders = "DEPARTEMENT", + vectorfile_format="topojson", + simplification=50, + filter_by="FRANCE_ENTIERE_DROM_RAPPROCHES", + source="EXPRESS-COG-CARTO-TERRITOIRE", + year=2022 +) +``` + +Si besoin de passer par un proxy, il faut déclarer http_proxy et https_proxy en variable d'environnement. Par exemple : +``` python +import os + +from cartiflette import carti_download + +os.environ["http_proxy"] = yourproxy +os.environ["https_proxy"] = yourproxy + +data = carti_download( + values = ["France"], + crs = 4326, + borders = "DEPARTEMENT", + vectorfile_format="topojson", + simplification=50, + filter_by="FRANCE_ENTIERE_DROM_RAPPROCHES", + source="EXPRESS-COG-CARTO-TERRITOIRE", + year=2022 +) +``` + +## Contexte + +Le projet `cartiflette` est un projet collaboratif lancé par des agents de l'Etat dans le cadre d'un programme interministériel +nommé [Programme 10%](https://www.10pourcent.etalab.gouv.fr/). + +__Vous désirez contribuer ?__ Plus d'information sont disponibles dans le fichier [CONTRIBUTING.md](https://github.com/InseeFrLab/cartiflette/blob/main/CONTRIBUTING.md) diff --git a/python-package/cartiflette/cartiflette/__init__.py b/python-package/cartiflette/cartiflette/__init__.py new file mode 100644 index 0000000..82cd736 --- /dev/null +++ b/python-package/cartiflette/cartiflette/__init__.py @@ -0,0 +1,8 @@ +from importlib.metadata import version + +from .config import _config +from .client import carti_download + +__version__ = version(__package__) + +__all__ = ["carti_download"] diff --git a/python-package/cartiflette/cartiflette/client.py b/python-package/cartiflette/cartiflette/client.py new file mode 100644 index 0000000..a20078d --- /dev/null +++ b/python-package/cartiflette/cartiflette/client.py @@ -0,0 +1,275 @@ +from requests_cache import CachedSession +import os +import typing +import geopandas as gpd +from datetime import date +import logging + +from cartiflette.constants import DIR_CACHE, CACHE_NAME, BUCKET, PATH_WITHIN_BUCKET +from cartiflette.config import _config +from cartiflette.utils import create_path_bucket, standardize_inputs + +logger = logging.getLogger(__name__) + +session = CachedSession() + + +class CartifletteSession(CachedSession): + + CACHE_NAME = os.path.join(DIR_CACHE, CACHE_NAME) + + def __init__( + self, + expire_after: int = _config["DEFAULT_EXPIRE_AFTER"], + **kwargs, + ): + super().__init__( + cache_name=self.CACHE_NAME, + expire_after=expire_after, + **kwargs, + ) + + for protocol in ["http", "https"]: + try: + proxy = {protocol: os.environ[f"{protocol}_proxy"]} + self.proxies.update(proxy) + except KeyError: + continue + + def download_cartiflette_single( + self, + *args, + bucket: str = BUCKET, + path_within_bucket: str = PATH_WITHIN_BUCKET, + provider: str = "IGN", + dataset_family: str = "ADMINEXPRESS", + source: str = "EXPRESS-COG-TERRITOIRE", + vectorfile_format: str = "geojson", + borders: str = "COMMUNE", + filter_by: str = "region", + territory: str = "metropole", + year: typing.Union[str, int, float] = None, + value: typing.Union[str, int, float] = "28", + crs: typing.Union[list, str, int, float] = 2154, + simplification: typing.Union[str, int, float] = None, + filename: str = "raw", + **kwargs, + ): + if not year: + year = str(date.today().year) + + corresp_filter_by_columns, format_read, driver = standardize_inputs( + vectorfile_format + ) + + url = create_path_bucket( + { + "bucket": bucket, + "path_within_bucket": path_within_bucket, + "vectorfile_format": format_read, + "territory": territory, + "borders": borders, + "filter_by": filter_by, + "year": year, + "value": value, + "crs": crs, + "provider": provider, + "dataset_family": dataset_family, + "source": source, + "simplification": simplification, + "filename": filename, + } + ) + + url = f"https://minio.lab.sspcloud.fr/{url}" + + try: + r = self.get(url) + gdf = gpd.read_file(r.content) + except Exception as e: + logger.error( + f"There was an error while reading the file from the URL: {url}" + ) + logger.error(f"Error message: {str(e)}") + else: + return gdf + + def get_dataset( + self, + values: typing.List[typing.Union[str, int, float]], + *args, + borders: str = "COMMUNE", + filter_by: str = "region", + territory: str = "metropole", + vectorfile_format: str = "geojson", + year: typing.Union[str, int, float] = None, + crs: typing.Union[list, str, int, float] = 2154, + simplification: typing.Union[str, int, float] = None, + bucket: str = BUCKET, + path_within_bucket: str = PATH_WITHIN_BUCKET, + provider: str = "IGN", + dataset_family: str = "ADMINEXPRESS", + source: str = "EXPRESS-COG-TERRITOIRE", + filename: str = "raw", + return_as_json: bool = False, + **kwargs, + ) -> typing.Union[gpd.GeoDataFrame, str]: + """ + Downloads and aggregates official geographic datasets using the Cartiflette API + for a set of specified values. + Optionally returns the data as a JSON string. + + This function is useful for downloading and concatenating data related to different regions, + communes, etc., into a single GeoDataFrame or JSON string. + + Parameters: + - values (List[Union[str, int, float]]): + A list of values to filter data by the filter_by parameter. + - borders (str, optional): + The type of borders (default is "COMMUNE"). + - filter_by (str, optional): + The parameter to filter by (default is "region"). + - territory (str, optional): + The territory (default is "metropole"). + - vectorfile_format (str, optional): + The file format for vector files (default is "geojson"). + - year (Union[str, int, float], optional): + The year of the dataset. Defaults to the current year if not provided. + - crs (Union[list, str, int, float], optional): + The coordinate reference system (default is 2154). + - simplification (Union[str, int, float], optional): + The simplification parameter (default is None). + - bucket, path_within_bucket, provider, dataset_family, source: + Other parameters required for accessing the Cartiflette API. + + - return_as_json (bool, optional): + If True, the function returns a JSON string representation of the aggregated GeoDataFrame. + If False, it returns a GeoDataFrame. Default is False. + + Returns: + - Union[gpd.GeoDataFrame, str]: + A GeoDataFrame containing concatenated data from the + specified parameters if return_as_json is False. + A JSON string representation of the GeoDataFrame + if return_as_json is True. + """ + + # Initialize an empty list to store individual GeoDataFrames + gdf_list = [] + + # Set the year to the current year if not provided + if not year: + year = str(date.today().year) + + if isinstance(values, (str, int)): + values = [values] + + # Iterate over values + for value in values: + gdf_single = self.download_cartiflette_single( + value=value, + bucket=bucket, + path_within_bucket=path_within_bucket, + provider=provider, + dataset_family=dataset_family, + source=source, + vectorfile_format=vectorfile_format, + borders=borders, + filter_by=filter_by, + territory=territory, + year=year, + crs=crs, + simplification=simplification, + filename=filename, + ) + gdf_list.append(gdf_single) + + # Concatenate the list of GeoDataFrames into a single GeoDataFrame + concatenated_gdf = gpd.pd.concat(gdf_list, ignore_index=True) + + if return_as_json is True: + return concatenated_gdf.to_json() + + return concatenated_gdf + + +def carti_download( + values: typing.List[typing.Union[str, int, float]], + *args, + borders: str = "COMMUNE", + filter_by: str = "region", + territory: str = "metropole", + vectorfile_format: str = "geojson", + year: typing.Union[str, int, float] = None, + crs: typing.Union[list, str, int, float] = 2154, + simplification: typing.Union[str, int, float] = None, + bucket: str = BUCKET, + path_within_bucket: str = PATH_WITHIN_BUCKET, + provider: str = "IGN", + dataset_family: str = "ADMINEXPRESS", + source: str = "EXPRESS-COG-TERRITOIRE", + filename: str = "raw", + return_as_json: bool = False, + **kwargs, +) -> typing.Union[gpd.GeoDataFrame, str]: + """ + Calls CartifletteSession.get_dataset + Downloads and aggregates official geographic datasets using the Cartiflette API + for a set of specified values. + Optionally returns the data as a JSON string. + + This function is useful for downloading and concatenating data related to different regions, + communes, etc., into a single GeoDataFrame or JSON string. + + Parameters: + - values (List[Union[str, int, float]]): + A list of values to filter data by the filter_by parameter. + - borders (str, optional): + The type of borders (default is "COMMUNE"). + - filter_by (str, optional): + The parameter to filter by (default is "region"). + - territory (str, optional): + The territory (default is "metropole"). + - vectorfile_format (str, optional): + The file format for vector files (default is "geojson"). + - year (Union[str, int, float], optional): + The year of the dataset. Defaults to the current year if not provided. + - crs (Union[list, str, int, float], optional): + The coordinate reference system (default is 2154). + - simplification (Union[str, int, float], optional): + The simplification parameter (default is None). + - bucket, path_within_bucket, provider, dataset_family, source: + Other parameters required for accessing the Cartiflette API. + + - return_as_json (bool, optional): + If True, the function returns a JSON string representation of the aggregated GeoDataFrame. + If False, it returns a GeoDataFrame. Default is False. + + Returns: + - Union[gpd.GeoDataFrame, str]: + A GeoDataFrame containing concatenated data from the + specified parameters if return_as_json is False. + A JSON string representation of the GeoDataFrame + if return_as_json is True. + """ + + with CartifletteSession() as carti_session: + return carti_session.get_dataset( + values=values, + *args, + borders=borders, + filter_by=filter_by, + territory=territory, + vectorfile_format=vectorfile_format, + year=year, + crs=crs, + simplification=simplification, + bucket=bucket, + path_within_bucket=path_within_bucket, + provider=provider, + dataset_family=dataset_family, + source=source, + filename=filename, + return_as_json=return_as_json, + **kwargs, + ) diff --git a/python-package/cartiflette/cartiflette/config.py b/python-package/cartiflette/cartiflette/config.py new file mode 100644 index 0000000..2dfc662 --- /dev/null +++ b/python-package/cartiflette/cartiflette/config.py @@ -0,0 +1,11 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +Package configuration +""" + +from datetime import timedelta + +_config = { + "DEFAULT_EXPIRE_AFTER": timedelta(days=30), +} diff --git a/python-package/cartiflette/cartiflette/constants.py b/python-package/cartiflette/cartiflette/constants.py new file mode 100644 index 0000000..c662279 --- /dev/null +++ b/python-package/cartiflette/cartiflette/constants.py @@ -0,0 +1,12 @@ +# -*- coding: utf-8 -*- +""" +Module's constants +""" + +import platformdirs + +APP_NAME = "cartiflette" +DIR_CACHE = platformdirs.user_cache_dir(APP_NAME, ensure_exists=True) +CACHE_NAME = "cartiflette_http_cache.sqlite" +BUCKET = "projet-cartiflette" +PATH_WITHIN_BUCKET = "production" diff --git a/python-package/cartiflette/cartiflette/utils.py b/python-package/cartiflette/cartiflette/utils.py new file mode 100644 index 0000000..0961fcc --- /dev/null +++ b/python-package/cartiflette/cartiflette/utils.py @@ -0,0 +1,154 @@ +import typing +import logging + +from cartiflette.constants import BUCKET, PATH_WITHIN_BUCKET + +logger = logging.getLogger(__name__) + + +def dict_corresp_filter_by() -> dict: + """Transforms explicit administrative borders into relevant column + + Returns: + dict: Relevant column as well as initial + user prompted administrative level + """ + corresp_decoupage_columns = { + "region": "INSEE_REG", + "departement": "INSEE_DEP", + "commune": "INSEE_COM", + "commune_arrondissement": "INSEE_COM", + "region_arrondissement": "INSEE_REG", + "departement_arrondissement": "INSEE_DEP", + "france_entiere": "territoire", + } + return corresp_decoupage_columns + + +def create_format_standardized() -> dict: + """Transforms user-prompted format into geopandas format + + Returns: + dict: Geopandas format as well as user-prompted + format + """ + format_standardized = { + "geojson": "geojson", + "geopackage": "GPKG", + "gpkg": "GPKG", + "shp": "shp", + "shapefile": "shp", + "geoparquet": "parquet", + "parquet": "parquet", + "topojson": "topojson", + } + return format_standardized + + +def create_format_driver() -> dict: + """Transforms user-prompted format into Geopandas driver + + Returns: + dict: Geopandas driver as well as user-prompted + format + """ + gpd_driver = { + "geojson": "GeoJSON", + "GPKG": "GPKG", + "shp": None, + "parquet": None, + "topojson": None, + } + return gpd_driver + + +def standardize_inputs(vectorfile_format): + corresp_filter_by_columns = dict_corresp_filter_by() + format_standardized = create_format_standardized() + gpd_driver = create_format_driver() + format_write = format_standardized[vectorfile_format.lower()] + driver = gpd_driver[format_write] + + return corresp_filter_by_columns, format_write, driver + + +class ConfigDict(typing.TypedDict): + bucket: typing.Optional[str] + path_within_bucket: typing.Optional[str] + provider: str + source: str + vectorfile_format: str + borders: str + filter_by: str + year: str + crs: typing.Optional[int] + value: str + filename: typing.Optional[str] + + +def create_path_bucket(config: ConfigDict) -> str: + """ + This function creates a file path for a vector file within a specified + bucket. + + Parameters + ---------- + config : ConfigDict + A dictionary containing vector file parameters. + + Returns + ------- + str + The complete file path for the vector file that will be used to read + or write when interacting with S3 storage. + + """ + + bucket = config.get("bucket", BUCKET) + path_within_bucket = config.get("path_within_bucket", PATH_WITHIN_BUCKET) + + provider = config.get("provider") + source = config.get("source") + + vectorfile_format = config.get("vectorfile_format") + borders = config.get("borders") + dataset_family = config.get("dataset_family") + territory = config.get("territory") + filter_by = config.get("filter_by") + year = config.get("year") + value = config.get("value") + crs = config.get("crs", 2154) + simplification = config.get("simplification", 0) + filename = config.get("filename") + + if simplification is None: + simplification = 0 + + simplification = int(simplification) + + # Un hack pour modifier la valeur si jamais le pattern du filename n'est pas raw.{vectorfile_format} + if filename == "value": + filename = value + + write_path = ( + f"{bucket}/{path_within_bucket}" + f"/{provider=}" + f"/{dataset_family=}" + f"/{source=}" + f"/{year=}" + f"/administrative_level={borders}" + f"/{crs=}" + f"/{filter_by}={value}" + f"/{vectorfile_format=}" + f"/{territory=}" + f"/{simplification=}" + ).replace("'", "") + + if filename: + write_path += f"/{filename}.{vectorfile_format}" + elif vectorfile_format == "shp": + write_path += "/" + else: + write_path += f"/raw.{vectorfile_format}" + + return write_path diff --git a/python-package/cartiflette/poetry.lock b/python-package/cartiflette/poetry.lock new file mode 100644 index 0000000..5caa60e --- /dev/null +++ b/python-package/cartiflette/poetry.lock @@ -0,0 +1,1258 @@ +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by 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b/python-package/cartiflette/pyproject.toml @@ -0,0 +1,24 @@ +[tool.poetry] +name = "cartiflette" +version = "0.1.6" +description = "Tools to easily retrieve French borders for geographic data analytics" +authors = ["Lino Galiana ", "Thomas Grandjean ", "Alica Burlot "] +license = "OPEN LICENCE 2.0/LICENCE OUVERTE 2.0" +readme = "README.md" + + +[tool.poetry.dependencies] +python = "^3.9" +requests = "^2.32.3" +requests-cache = "^1.2.1" +geopandas = "^1.0.1" +platformdirs = "^4.3.6" + + +[tool.poetry.group.dev.dependencies] +pytest = "^8.3.3" +matplotlib = "^3.9.2" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/python-package/cartiflette/tests/__init__.py b/python-package/cartiflette/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/python-package/cartiflette/tests/test_client.py b/python-package/cartiflette/tests/test_client.py new file mode 100644 index 0000000..52936d3 --- /dev/null +++ b/python-package/cartiflette/tests/test_client.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +Created on Wed Nov 20 11:15:09 2024 + +Test cartiflette client +""" + +import geopandas as gpd + +from cartiflette import carti_download + + +def test_carti_download(): + dataset_topojson = carti_download( + values=["France"], + crs=4326, + borders="DEPARTEMENT", + vectorfile_format="topojson", + simplification=50, + filter_by="FRANCE_ENTIERE_DROM_RAPPROCHES", + source="EXPRESS-COG-CARTO-TERRITOIRE", + year=2022, + ) + dataset_geojson = carti_download( + values=["France"], + crs=4326, + borders="DEPARTEMENT", + vectorfile_format="geojson", + simplification=50, + filter_by="FRANCE_ENTIERE_DROM_RAPPROCHES", + source="EXPRESS-COG-CARTO-TERRITOIRE", + year=2022, + ) + assert isinstance(dataset_topojson, gpd.GeoDataFrame) + assert isinstance(dataset_geojson, gpd.GeoDataFrame)