Files
colibre/tests/mcp/test_queries.py
T
Colin Maudry 24bc1c08c1 test(mcp): combler les lacunes de couverture relevées par la revue finale
Ajoute des tests de bout en bout pour les filtres montant/date/cpv, le
chemin titulaire de search_organisations, et la pagination (page>1,
clamping page=0). Normalise montant_total en float dans les deux
branches de compute_org_stats.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-09 21:43:26 +02:00

157 lines
5.3 KiB
Python

import pytest
import src.utils.search as search_mod
from src.mcp.queries import (
build_where_args,
compute_org_stats,
search_marches,
search_organisations,
)
from src.utils.data import DF_ACHETEURS
from src.utils.search import search_org
def test_search_org_track_false_skips_track_search(monkeypatch):
calls = []
monkeypatch.setattr(search_mod, "track_search", lambda q, c: calls.append((q, c)))
search_org(DF_ACHETEURS, "ACHETEUR", "acheteur", track=False)
assert calls == []
def test_search_org_track_true_calls_track_search(monkeypatch):
calls = []
monkeypatch.setattr(search_mod, "track_search", lambda q, c: calls.append((q, c)))
search_org(DF_ACHETEURS, "ACHETEUR", "acheteur", track=True)
assert calls == [("ACHETEUR", "home_page_search")]
def test_search_organisations_finds_known_acheteur():
result = search_organisations("ACHETEUR", "acheteur")
assert any(r["id"] == "123" for r in result)
first = next(r for r in result if r["id"] == "123")
assert set(first.keys()) == {"id", "nom", "departement"}
# Vérifier que le nom a été extrait en texte plain (HTML strippé)
assert first["nom"] == "ACHETEUR 1"
assert "<" not in first["nom"] # Défense : aucun markup HTML ne s'échappe
def test_search_organisations_finds_known_titulaire():
result = search_organisations("TITULAIRE", "titulaire")
assert any(r["id"] == "345" for r in result)
first = next(r for r in result if r["id"] == "345")
assert set(first.keys()) == {"id", "nom", "departement"}
# Vérifier que le nom a été extrait en texte plain (HTML strippé),
# même chemin SIRET/non-SIRET différent de celui du test acheteur.
assert first["id"] == "345"
assert first["nom"] == "TITULAIRE 1"
assert "<" not in first["id"]
assert "<" not in first["nom"]
def test_search_organisations_invalid_type_raises():
with pytest.raises(ValueError):
search_organisations("x", "autre")
def test_search_organisations_respects_limite():
result = search_organisations("ACHETEUR", "acheteur", limite=1)
assert len(result) <= 1
def test_build_where_args_named_params():
args = build_where_args(
{"acheteur_id": "123", "montant_min": 5, "objet_contient": "test"}, None
)
assert ("acheteur_id__exact", "123") in args
assert ("montant__greater", "5") in args
assert ("objet__contains", "test") in args
def test_build_where_args_merges_filtres_avances():
args = build_where_args(
{"acheteur_id": "123"}, {"titulaire_departement_code__exact": "35"}
)
assert ("acheteur_id__exact", "123") in args
assert ("titulaire_departement_code__exact", "35") in args
def test_search_marches_returns_meta_and_rows():
result = search_marches(acheteur_id="123")
assert result["meta"]["total"] >= 1
assert result["meta"]["page"] == 1
assert result["meta"]["page_size"] == 50
assert any(m["acheteur_id"] == "123" for m in result["marches"])
# dates sérialisées en ISO
assert result["marches"][0]["dateNotification"] == "2025-01-01"
def test_search_marches_no_match_is_empty():
result = search_marches(acheteur_id="inconnu-xyz")
assert result["meta"]["total"] == 0
assert result["marches"] == []
def test_search_marches_bad_filter_returns_error():
result = search_marches(filtres_avances={"colonne_bidon__exact": "x"})
assert "error" in result
def test_search_marches_montant_min_filters_correctly():
assert search_marches(montant_min=100)["meta"]["total"] == 0
assert search_marches(montant_min=1)["meta"]["total"] >= 1
def test_search_marches_date_min_max_filters_correctly():
assert search_marches(date_min="2025-01-01")["meta"]["total"] >= 1
assert search_marches(date_min="2025-01-02")["meta"]["total"] == 0
assert search_marches(date_max="2025-01-01")["meta"]["total"] >= 1
assert search_marches(date_max="2024-12-31")["meta"]["total"] == 0
def test_search_marches_cpv_filters_correctly():
assert search_marches(cpv="716")["meta"]["total"] >= 1
assert search_marches(cpv="999")["meta"]["total"] == 0
def test_search_marches_page_2_is_empty_with_correct_meta():
result = search_marches(acheteur_id="123", page=2)
assert result["meta"]["page"] == 2
assert result["marches"] == []
def test_search_marches_page_zero_is_clamped_to_one():
result = search_marches(acheteur_id="123", page=0)
assert result["meta"]["page"] == 1
def test_compute_org_stats_acheteur_known():
stats = compute_org_stats("acheteur", "123")
assert stats["nb_marches"] >= 1
assert stats["montant_total"] == 10
assert stats["identite"]["id"] == "123"
assert stats["identite"]["nom"] == "ACHETEUR 1"
assert "top_titulaires" in stats
assert "top_cpv" in stats
# répartition annuelle dérivée de dateNotification (2025)
annees = [row["annee"] for row in stats["repartition_annuelle"]]
assert 2025 in annees
def test_compute_org_stats_titulaire_known():
stats = compute_org_stats("titulaire", "345")
assert stats["nb_marches"] >= 1
assert "top_acheteurs" in stats
def test_compute_org_stats_unknown_is_empty():
stats = compute_org_stats("acheteur", "inconnu-xyz")
assert stats["nb_marches"] == 0
assert stats["montant_total"] == 0
assert stats["repartition_annuelle"] == []
assert stats["top_titulaires"] == []
assert stats["top_cpv"] == []