Path de duckdb configurable, correction des tests #72
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+55
-44
@@ -6,55 +6,66 @@ import polars as pl
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import pytest
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from selenium.webdriver.chrome.options import Options
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_TEST_DATA = [
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{
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"uid": "1",
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"id": "1",
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"acheteur_nom": "ACHETEUR 1",
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"acheteur_id": "123",
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"titulaire_nom": "TITULAIRE 1",
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"titulaire_id": "345",
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"montant": 10,
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"dateNotification": datetime.date(2025, 1, 1),
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"codeCPV": "71600000",
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"donneesActuelles": True,
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"acheteur_departement_code": "75",
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"acheteur_departement_nom": "Paris",
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"acheteur_commune_nom": "Paris",
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"titulaire_departement_code": "35",
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"titulaire_departement_nom": "Ille-et-Vilaine",
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"titulaire_commune_nom": "Rennes",
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"titulaire_distance": 10,
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"titulaire_typeIdentifiant": "SIRET",
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"objet": "Objet test",
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"dureeRestanteMois": 12,
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"lieuExecution_code": "75001",
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"sourceFile": "test.xml",
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"sourceDataset": "test_dataset",
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"datePublicationDonnees": datetime.date(2025, 1, 1),
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"considerationsSociales": "",
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"considerationsEnvironnementales": "",
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"type": "Marché",
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"acheteur_categorie": "Collectivité",
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"titulaire_categorie": "PME",
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}
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]
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_PARQUET_PATH = Path(os.path.abspath("tests/test.parquet"))
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_DB_PATH = Path(os.path.abspath("decp.duckdb"))
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@pytest.fixture(scope="session", autouse=True)
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def test_data():
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data = [
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{
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"uid": "1",
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"id": "1",
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"acheteur_nom": "ACHETEUR 1",
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"acheteur_id": "123",
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"titulaire_nom": "TITULAIRE 1",
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"titulaire_id": "345",
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"montant": 10,
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"dateNotification": datetime.date(2025, 1, 1),
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"codeCPV": "71600000",
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"donneesActuelles": True,
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"acheteur_departement_code": "75",
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"acheteur_departement_nom": "Paris",
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"acheteur_commune_nom": "Paris",
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"titulaire_departement_code": "35",
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"titulaire_departement_nom": "Ille-et-Vilaine",
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"titulaire_commune_nom": "Rennes",
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"titulaire_distance": 10,
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"titulaire_typeIdentifiant": "SIRET",
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"objet": "Objet test",
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"dureeRestanteMois": 12,
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"lieuExecution_code": "75001",
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"sourceFile": "test.xml",
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"sourceDataset": "test_dataset",
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"datePublicationDonnees": datetime.date(2025, 1, 1),
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"considerationsSociales": "",
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"considerationsEnvironnementales": "",
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"type": "Marché",
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"acheteur_categorie": "Collectivité",
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"titulaire_categorie": "PME",
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}
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]
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parquet_path = Path(os.path.abspath("tests/test.parquet"))
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db_path = parquet_path.parent / "decp.duckdb"
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print(f"Writing test data to: {parquet_path}")
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pl.DataFrame(data).write_parquet(parquet_path)
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# Remove any stale DuckDB from a previous run so src.db rebuilds from
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# the freshly-written parquet at import time.
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for artifact in (db_path, db_path.with_suffix(".duckdb.tmp")):
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def _cleanup_db_artifacts() -> None:
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for artifact in (
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_DB_PATH,
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_DB_PATH.with_suffix(".duckdb.tmp"),
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_DB_PATH.with_suffix(".duckdb.lock"),
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):
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if artifact.exists():
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artifact.unlink()
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yield str(parquet_path)
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# Runs at conftest import, before test modules import src.db (which builds the
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# DuckDB at import time). Guarantees the test parquet exists and the stale DB
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# from a previous `python run.py` is wiped so src.db rebuilds from test data.
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pl.DataFrame(_TEST_DATA).write_parquet(_PARQUET_PATH)
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_cleanup_db_artifacts()
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@pytest.fixture(scope="session", autouse=True)
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def test_data():
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yield str(_PARQUET_PATH)
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# Teardown: remove the test DuckDB so the next `python run.py` rebuilds
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# from decp_prod.parquet.
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_cleanup_db_artifacts()
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def pytest_setup_options():
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