Ajout données de géométrie administrative
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@ -4,6 +4,7 @@ __pycache__
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.env
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*.sqlite3
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*.sqlite3-journal
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data/
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"""Ajout des modèles de géométries administratives
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Revision ID: 62495c819f2b
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Revises: 9d99f3ea6b66
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Create Date: 2024-06-08 16:13:15.457114
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision: str = '62495c819f2b'
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down_revision: Union[str, None] = '9d99f3ea6b66'
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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# ### commands auto generated by Alembic - please adjust! ###
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op.create_table('region',
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sa.Column('code_insee', sa.String(length=3), nullable=False),
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sa.Column('libelle', sa.String(length=64), nullable=False),
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sa.Column('geometry', sa.JSON(), nullable=False),
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sa.PrimaryKeyConstraint('code_insee'),
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sa.UniqueConstraint('libelle')
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)
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op.create_table('departement',
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sa.Column('code_insee', sa.String(length=2), nullable=False),
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sa.Column('libelle', sa.String(length=64), nullable=False),
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sa.Column('region_code', sa.String(length=3), nullable=False),
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sa.Column('geometry', sa.JSON(), nullable=False),
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sa.ForeignKeyConstraint(['region_code'], ['region.code_insee'], ),
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sa.PrimaryKeyConstraint('code_insee'),
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sa.UniqueConstraint('libelle')
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)
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op.create_table('circonscription',
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sa.Column('id', sa.String(length=6), nullable=False),
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sa.Column('departement_code', sa.String(length=2), nullable=False),
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sa.Column('numero', sa.Integer(), nullable=False),
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sa.ForeignKeyConstraint(['departement_code'], ['departement.code_insee'], ),
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sa.PrimaryKeyConstraint('id')
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)
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op.create_table('commune',
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sa.Column('code_insee', sa.String(length=5), nullable=False),
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sa.Column('libelle', sa.String(length=64), nullable=False),
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sa.Column('departement_code', sa.String(length=2), nullable=False),
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sa.Column('geometry', sa.JSON(), nullable=False),
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sa.ForeignKeyConstraint(['departement_code'], ['departement.code_insee'], ),
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sa.PrimaryKeyConstraint('code_insee')
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)
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op.create_table('bureau_vote',
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sa.Column('id', sa.String(length=16), nullable=False),
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sa.Column('commune_code', sa.String(length=5), nullable=False),
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sa.Column('code_bureau', sa.String(length=8), nullable=False),
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sa.Column('circo_code', sa.String(length=6), nullable=False),
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sa.Column('libelle', sa.String(length=256), nullable=False),
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sa.Column('adresse', sa.String(length=256), nullable=True),
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sa.Column('geometry', sa.JSON(), nullable=False),
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sa.ForeignKeyConstraint(['circo_code'], ['circonscription.id'], ),
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sa.ForeignKeyConstraint(['commune_code'], ['commune.code_insee'], ),
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sa.PrimaryKeyConstraint('id')
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)
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# ### end Alembic commands ###
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def downgrade() -> None:
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# ### commands auto generated by Alembic - please adjust! ###
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op.drop_table('bureau_vote')
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op.drop_table('commune')
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op.drop_table('circonscription')
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op.drop_table('departement')
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op.drop_table('region')
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# ### end Alembic commands ###
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8
main.py
8
main.py
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@ -6,7 +6,7 @@ import os
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from dotenv import load_dotenv
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from sqlalchemy import create_engine
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from nupes.scripts import import_candidats_2024
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from nupes.scripts import import_candidats_2024, import_geographie
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def parse_args():
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@ -15,7 +15,8 @@ def parse_args():
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choices=["présidentielle", "législatives", "sénatoriales", "européennes",
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"régionales", "départementales", "municipales"], default="européennes")
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parser.add_argument('--year', '-y', type=int, help="Année de l'élection", default=2024)
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parser.add_argument('action', help="Action à réaliser", choices=["import_candidats"])
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parser.add_argument('action', help="Action à réaliser",
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choices=["import_candidats", "import_geographie"])
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parser.add_argument('--debug', '-d', action='store_true', help="Mode debug")
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return parser.parse_args()
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@ -28,6 +29,9 @@ def main():
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engine = create_engine(os.getenv("SQLALCHEMY_URL"), echo=args.debug)
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match args.action:
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case "import_geographie":
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print(f"Import des données géographiques pour les élections {args.type} {args.year}")
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import_geographie.run(engine)
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case "import_candidats":
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print(f"Import des candidats pour les élections {args.type} {args.year}")
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import_candidats_2024.run(engine)
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@ -6,15 +6,16 @@ import requests
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DATA_DIR = Path(__file__).parent / 'data'
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def get_file(url, filename):
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def get_file(url, filename, etag: str = None):
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if not DATA_DIR.is_dir():
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DATA_DIR.mkdir()
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head_response = requests.head(url, allow_redirects=True)
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headers = head_response.headers
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if not etag:
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etag = headers.get('ETag').split('/')[-1].replace('"', '')
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file = DATA_DIR / f"{etag}_{filename}"
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file = DATA_DIR / filename.format(etag=etag)
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if file.exists():
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return file
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@ -1,2 +1,3 @@
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from .base import Base
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from .geographie import Region, Departement, Commune, Circonscription, BureauVote
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from .europeennes2024 import Bloc as Bloc2024, Nuance as Nuance2024, Liste as Liste2024, Candidat as Candidat2024
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@ -0,0 +1,66 @@
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from typing import List
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from sqlalchemy import Float, ForeignKey, Integer, JSON, String
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from sqlalchemy.orm import mapped_column, Mapped, relationship
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from nupes.models import Base
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class Region(Base):
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__tablename__ = "region"
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code_insee: Mapped[str] = mapped_column(String(3), primary_key=True)
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libelle: Mapped[str] = mapped_column(String(64), unique=True)
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geometry: Mapped[dict] = mapped_column(JSON())
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departements: Mapped[List["Departement"]] = relationship("Departement", back_populates="region")
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class Departement(Base):
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__tablename__ = "departement"
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code_insee: Mapped[str] = mapped_column(String(2), primary_key=True)
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libelle: Mapped[str] = mapped_column(String(64), unique=True)
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region_code: Mapped[int] = mapped_column(ForeignKey("region.code_insee"))
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geometry: Mapped[dict] = mapped_column(JSON())
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region: Mapped[Region] = relationship(Region, back_populates="departements")
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communes: Mapped[List["Commune"]] = relationship("Commune", back_populates="departement")
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class Commune(Base):
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__tablename__ = "commune"
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code_insee: Mapped[str] = mapped_column(String(5), primary_key=True)
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libelle: Mapped[str] = mapped_column(String(64))
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departement_code: Mapped[str] = mapped_column(ForeignKey("departement.code_insee"))
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geometry: Mapped[dict] = mapped_column(JSON())
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departement: Mapped[Departement] = relationship(Departement, back_populates="communes")
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bureaux_vote: Mapped[List["BureauVote"]] = relationship("BureauVote", back_populates="commune")
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class Circonscription(Base):
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__tablename__ = "circonscription"
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id: Mapped[str] = mapped_column(String(6), primary_key=True)
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departement_code: Mapped[str] = mapped_column(ForeignKey("departement.code_insee"))
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numero: Mapped[int] = mapped_column(Integer())
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departement: Mapped[Departement] = relationship(Departement)
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bureaux_vote: Mapped[List["BureauVote"]] = relationship("BureauVote", back_populates="circonscription")
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class BureauVote(Base):
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__tablename__ = "bureau_vote"
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id: Mapped[str] = mapped_column(String(16), primary_key=True)
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commune_code: Mapped[str] = mapped_column(ForeignKey("commune.code_insee"))
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code_bureau: Mapped[str] = mapped_column(String(8))
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circo_code: Mapped[str] = mapped_column(ForeignKey("circonscription.id"))
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libelle: Mapped[str] = mapped_column(String(256))
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adresse: Mapped[str] = mapped_column(String(256), nullable=True)
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geometry: Mapped[dict] = mapped_column(JSON())
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commune: Mapped[Commune] = relationship(Commune, back_populates="bureaux_vote")
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circonscription: Mapped[Circonscription] = relationship(Circonscription, back_populates="bureaux_vote")
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@ -125,7 +125,7 @@ def importer_listes(engine: Engine) -> None:
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def importer_candidats(engine: Engine) -> None:
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DATASET_URL = "https://www.data.gouv.fr/fr/datasets/r/483cd4bd-1b0e-4b52-a923-aadadf9c8f62"
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file = get_file(DATASET_URL, "candidats_2024.csv")
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file = get_file(DATASET_URL, "candidats_2024-{etag}.csv")
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with file.open('r') as f:
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with Session(engine) as session:
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@ -0,0 +1,177 @@
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import json
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from datetime import datetime
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import requests
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from sqlalchemy import Engine, select
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from sqlalchemy.orm import Session
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from nupes.data import get_file
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from nupes.models.geographie import BureauVote, Circonscription, Commune, Departement, Region
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def importer_regions(engine: Engine) -> None:
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etag = requests.get(
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"https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets"
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"/georef-france-region?select=data_processed").json()['data_processed']
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file = get_file("https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets"
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"/georef-france-region/exports/geojson?lang=fr&timezone=Europe%2FBerlin",
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"georef-france-region-{etag}.geojson", etag)
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with file.open('r') as f:
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features = json.load(f)['features']
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with Session(engine) as session:
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for feature in features:
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region_dict = feature['properties']
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code_region = region_dict['reg_code'][0]
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nom_region = region_dict['reg_name'][0]
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if region := session.execute(select(Region).filter_by(code_insee=code_region)).scalar_one_or_none():
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region.libelle = nom_region
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region.geometry = feature['geometry']
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else:
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region = Region(code_insee=code_region, libelle=nom_region, geometry=feature['geometry'])
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session.add(region)
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session.commit()
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def importer_departements(engine: Engine) -> None:
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etag = requests.get(
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"https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets"
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"/georef-france-departement?select=data_processed").json()['data_processed']
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file = get_file("https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets"
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"/georef-france-departement/exports/geojson?lang=fr&timezone=Europe%2FBerlin",
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"georef-france-departement-{etag}.geojson", etag)
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with file.open('r') as f:
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features = json.load(f)['features']
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with Session(engine) as session:
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for feature in features:
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dpt_dict = feature['properties']
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code_dpt = dpt_dict['dep_code'][0]
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nom_dpt = dpt_dict['dep_name'][0]
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if dpt := session.execute(select(Departement).filter_by(code_insee=code_dpt)).scalar_one_or_none():
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dpt.libelle = nom_dpt
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dpt.region_code = dpt_dict['reg_code'][0]
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dpt.geometry = feature['geometry']
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else:
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dpt = Departement(code_insee=code_dpt, libelle=nom_dpt, region_code=dpt_dict['reg_code'][0],
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geometry=feature['geometry'])
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session.add(dpt)
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session.commit()
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def importer_communes(engine: Engine) -> None:
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etag = requests.get(
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"https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets"
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"/georef-france-commune?select=data_processed").json()['data_processed']
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file = get_file("https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets"
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"/georef-france-commune/exports/geojson?lang=fr&timezone=Europe%2FBerlin",
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"georef-france-commune-{etag}.geojson", etag)
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with file.open('r') as f:
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features = json.load(f)['features']
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with Session(engine) as session:
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for feature in features:
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commune_dict = feature['properties']
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code_commune = commune_dict['com_code'][0]
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nom_commune = commune_dict['com_name'][0]
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if commune := session.execute(select(Commune).filter_by(code_insee=code_commune)).scalar_one_or_none():
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commune.libelle = nom_commune
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commune.departement_code = commune_dict['dep_code'][0]
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commune.geometry = feature['geometry']
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else:
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commune = Commune(code_insee=code_commune, libelle=nom_commune,
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departement_code=commune_dict['dep_code'][0], geometry=feature['geometry'])
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session.add(commune)
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session.commit()
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def importer_bureaux_vote(engine: Engine) -> None:
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etag = requests.get(
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"https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets"
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"/elections-france-bureau-vote-2022?select=data_processed").json()['data_processed']
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file = get_file("https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets"
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"/elections-france-bureau-vote-2022/exports/geojson?lang=fr&timezone=Europe%2FBerlin",
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"elections-france-bureau-vote-2022-{etag}.geojson", etag)
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with file.open('r') as f:
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features = json.load(f)['features']
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with Session(engine) as session:
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for feature in features:
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bv_dict = feature['properties']
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code_commune = bv_dict['com_code']
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if not code_commune:
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print(feature)
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continue
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code_commune = code_commune.split('/')[0]
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code_bv = bv_dict['code'] or "0"
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code_circo = bv_dict['circonscription_code']
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bv_id = f"{code_commune}_{code_bv}"
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bv_libelle = bv_dict['libelle'] or "Bureau unique"
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if not session.execute(select(Circonscription).filter_by(id=code_circo)).scalar_one_or_none():
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session.add(Circonscription(id=code_circo, departement_code=code_commune[:2],
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numero=int(code_circo[3:])))
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if bv := session.execute(select(BureauVote).filter_by(id=bv_id)).scalar_one_or_none():
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bv.commune_code = code_commune
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bv.code_bureau = code_bv
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bv.circo_code = code_circo
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bv.libelle = bv_libelle
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bv.adresse = bv_dict['adresse']
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else:
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bv = BureauVote(id=bv_id, commune_code=code_commune, code_bureau=code_bv, circo_code=code_circo,
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libelle=bv_libelle, adresse=bv_dict['adresse'],
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geometry={})
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session.add(bv)
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session.commit()
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def importer_contours_bureaux_vote(engine: Engine) -> None:
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file = get_file("https://www.data.gouv.fr/fr/datasets/r/f98165a7-7c37-4705-a181-bcfc943edc73",
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"contours-bureaux-vote.geojson")
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with file.open('r') as f:
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features = json.load(f)['features']
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with Session(engine) as session:
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for feature in features:
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bv_id: str = feature['properties']['id_bv']
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com_code, bv_code = bv_id.split('_')
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bv_code = bv_code.replace("-", " ").replace(".", " ").strip()
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while len(bv_code) >= 2 and bv_code[0] == '0':
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bv_code = bv_code[1:]
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while " " in bv_code:
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bv_code = bv_code.replace(" ", " ")
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bv_id = f"{com_code}_{bv_code}"
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if bv := session.execute(select(BureauVote).filter_by(id=bv_id)).scalar_one_or_none():
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bv.geometry = feature['geometry']
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else:
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results = session.execute(select(BureauVote).filter_by(commune_code=com_code)).scalars().all()
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if len(results) == 1:
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bv = results[0]
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bv.geometry = feature['geometry']
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else:
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print(f"Bureau de vote {bv_id} non trouvé")
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session.commit()
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def run(engine: Engine) -> None:
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# importer_regions(engine)
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# importer_departements(engine)
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# importer_communes(engine)
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importer_bureaux_vote(engine)
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importer_contours_bureaux_vote(engine)
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||||
Loading…
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