Files
colibre/tests/test_db.py
T
Colin Maudry 077af6dd2e Implémentation de build_database avec transforms Polars et tables dérivées
- _load_source_frame reprend la pipeline Polars (sort, filtre donneesActuelles,
  booleans_to_strings, remplacement des noms null)
- build_database utilise write_parquet + read_parquet pour zéro-dépendance
  pyarrow (pyarrow absent du venv) et écrit atomiquement via .tmp + os.replace
- 4 tables dérivées : acheteurs_marches, titulaires_marches,
  acheteurs_departement, titulaires_departement

refs #71

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-15 16:16:12 +02:00

196 lines
6.1 KiB
Python

import datetime
import os
import time
import polars as pl
import pytest
from src.db import should_rebuild
@pytest.fixture
def parquet_and_db(tmp_path, monkeypatch):
parquet = tmp_path / "source.parquet"
db = tmp_path / "decp.duckdb"
parquet.write_bytes(b"fake parquet content")
monkeypatch.delenv("REBUILD_DUCKDB", raising=False)
monkeypatch.delenv("DEVELOPMENT", raising=False)
return parquet, db
def test_should_rebuild_when_db_missing(parquet_and_db):
parquet, db = parquet_and_db
assert should_rebuild(db, parquet) is True
def test_should_rebuild_prod_when_parquet_newer(parquet_and_db, monkeypatch):
parquet, db = parquet_and_db
db.write_bytes(b"x")
parquet.touch()
now = time.time()
os.utime(db, (now, now))
os.utime(parquet, (now + 10, now + 10))
monkeypatch.setenv("DEVELOPMENT", "false")
assert should_rebuild(db, parquet) is True
def test_should_not_rebuild_prod_when_parquet_older(parquet_and_db, monkeypatch):
parquet, db = parquet_and_db
parquet.touch()
db.write_bytes(b"x")
now = time.time()
os.utime(parquet, (now, now))
os.utime(db, (now + 10, now + 10))
monkeypatch.setenv("DEVELOPMENT", "false")
assert should_rebuild(db, parquet) is False
def test_should_not_rebuild_dev_even_when_parquet_newer(parquet_and_db, monkeypatch):
parquet, db = parquet_and_db
db.write_bytes(b"x")
parquet.touch()
now = time.time()
os.utime(db, (now, now))
os.utime(parquet, (now + 10, now + 10))
monkeypatch.setenv("DEVELOPMENT", "true")
monkeypatch.delenv("REBUILD_DUCKDB", raising=False)
assert should_rebuild(db, parquet) is False
def test_should_rebuild_dev_when_rebuild_forced(parquet_and_db, monkeypatch):
parquet, db = parquet_and_db
db.write_bytes(b"x")
parquet.touch()
now = time.time()
os.utime(db, (now, now))
os.utime(parquet, (now + 10, now + 10))
monkeypatch.setenv("DEVELOPMENT", "true")
monkeypatch.setenv("REBUILD_DUCKDB", "true")
assert should_rebuild(db, parquet) is True
@pytest.fixture
def built_db(tmp_path, monkeypatch):
"""Build a DuckDB from a small Polars frame written as parquet."""
parquet_path = tmp_path / "source.parquet"
db_path = tmp_path / "decp.duckdb"
data = pl.DataFrame(
[
{
"uid": "1",
"id": "1",
"objet": "Travaux",
"acheteur_id": "A1",
"acheteur_nom": "Mairie",
"acheteur_departement_code": "75",
"titulaire_id": "T1",
"titulaire_nom": "Entreprise",
"titulaire_departement_code": "35",
"titulaire_typeIdentifiant": "SIRET",
"montant": 1000.0,
"dateNotification": datetime.date(2025, 1, 1),
"donneesActuelles": True,
"marcheInnovant": True,
},
{
"uid": "2",
"id": "2",
"objet": "Études",
"acheteur_id": "A1",
"acheteur_nom": "Mairie",
"acheteur_departement_code": "75",
"titulaire_id": "T2",
"titulaire_nom": None,
"titulaire_departement_code": "75",
"titulaire_typeIdentifiant": "SIRET",
"montant": 500.0,
"dateNotification": datetime.date(2024, 6, 1),
"donneesActuelles": True,
"marcheInnovant": False,
},
{
"uid": "3",
"id": "3",
"objet": "Ancien",
"acheteur_id": "A2",
"acheteur_nom": None,
"acheteur_departement_code": "13",
"titulaire_id": "T3",
"titulaire_nom": "Autre",
"titulaire_departement_code": "13",
"titulaire_typeIdentifiant": "SIRET",
"montant": 100.0,
"dateNotification": datetime.date(2023, 1, 1),
"donneesActuelles": False, # must be filtered out
"marcheInnovant": False,
},
]
)
data.write_parquet(parquet_path)
monkeypatch.setenv("DATA_FILE_PARQUET_PATH", str(parquet_path))
from src.db import build_database
build_database(db_path, parquet_path)
return db_path
def test_build_filters_donnees_actuelles(built_db):
import duckdb
with duckdb.connect(str(built_db), read_only=True) as c:
rows = c.execute("SELECT uid FROM decp ORDER BY uid").fetchall()
assert [r[0] for r in rows] == ["1", "2"]
def test_build_converts_booleans_to_oui_non(built_db):
import duckdb
with duckdb.connect(str(built_db), read_only=True) as c:
values = c.execute("SELECT marcheInnovant FROM decp ORDER BY uid").fetchall()
assert [v[0] for v in values] == ["oui", "non"]
def test_build_replaces_null_org_names(built_db):
import duckdb
with duckdb.connect(str(built_db), read_only=True) as c:
titulaire_2 = c.execute(
"SELECT titulaire_nom FROM decp WHERE uid = '2'"
).fetchone()
assert titulaire_2[0] == "[Identifiant non reconnu dans la base INSEE]"
def test_build_creates_derived_tables(built_db):
import duckdb
with duckdb.connect(str(built_db), read_only=True) as c:
tables = {r[0] for r in c.execute("SHOW TABLES").fetchall()}
assert {
"decp",
"acheteurs_marches",
"titulaires_marches",
"acheteurs_departement",
"titulaires_departement",
} <= tables
@pytest.mark.skip(reason="implemented in Task 6")
def test_query_marches_returns_polars_frame(built_db, monkeypatch):
monkeypatch.setenv(
"DATA_FILE_PARQUET_PATH", str(built_db.parent / "source.parquet")
)
# Force src.db to load pointing at this test DB.
import importlib
import src.db
importlib.reload(src.db)
from src.db import query_marches
frame = query_marches("acheteur_id = ?", ("A1",))
assert isinstance(frame, pl.DataFrame)
assert frame.height == 2
assert set(frame["uid"].to_list()) == {"1", "2"}