d552582a0c
- conftest: pymupdf-Alias-Loading robuster, fuer echte Render-Tests - test_v2_pdf_consistency: fehlende_programme deserialisieren - test_endpoints_smoke: Auth-Tests skippen wenn Keycloak nicht aktiv; queue/status-Schema auf workers_running aktualisiert - test_inline_styles_baseline: skippen wenn tools/-Dir fehlt (Container) - test_presse_generator_style: Mock-Body lang genug fuer kein Re-Generate; neuer event-loop pro Test (3.10+-Lifecycle) - test_bug_regressions: EMBEDDINGS_DB-Patch auch im analyzer_mod; raising=False bei fitz/pymupdf raus (zerstoerte Folge-Tests) - test_icons: macOS AppleDouble-Files (._*) ueberspringen - test_protokoll_parsers_nrw: raising=False raus (Test-Isolation)
338 lines
11 KiB
Python
338 lines
11 KiB
Python
"""Smoke-Tests für die neuen API-Endpoints.
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Diese Tests prüfen nur ob die Endpoints antworten und das richtige
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Format zurückgeben — keine echten LLM-Calls oder DB-Writes.
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"""
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import pytest
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# Skip wenn die App nicht importierbar ist (missing dependencies lokal)
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try:
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from fastapi.testclient import TestClient
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from app.main import app
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from app.auth import _is_auth_enabled
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client = TestClient(app)
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_HAS_APP = True
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_AUTH_ON = _is_auth_enabled()
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except ImportError:
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_HAS_APP = False
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_AUTH_ON = False
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client = None
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pytestmark = pytest.mark.skipif(not _HAS_APP, reason="app.main not importable")
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auth_required = pytest.mark.skipif(
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not _AUTH_ON,
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reason="Keycloak nicht konfiguriert — Auth-Wall ist deaktiviert (Dev-Modus)",
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)
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class TestQueueStatus:
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def test_returns_json(self):
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resp = client.get("/api/queue/status")
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assert resp.status_code == 200
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data = resp.json()
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assert "pending" in data
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assert "workers_running" in data
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def test_pending_starts_at_zero(self):
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data = client.get("/api/queue/status").json()
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assert data["pending"] == 0
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class TestAuthMe:
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def test_unauthenticated_returns_false(self):
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resp = client.get("/api/auth/me")
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assert resp.status_code == 200
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data = resp.json()
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assert data["authenticated"] is False
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class TestAuthLoginUrl:
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def test_returns_enabled_flag(self):
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resp = client.get("/api/auth/login-url")
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assert resp.status_code == 200
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data = resp.json()
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assert "enabled" in data
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class TestBundeslaender:
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def test_returns_list(self):
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resp = client.get("/api/bundeslaender")
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assert resp.status_code == 200
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data = resp.json()
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assert isinstance(data, list)
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assert len(data) > 10 # mindestens 10 BLs
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class TestProgramme:
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def test_returns_list(self):
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resp = client.get("/api/programme")
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assert resp.status_code == 200
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data = resp.json()
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assert isinstance(data, list)
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assert len(data) > 50 # mindestens 50 Programme
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def test_status_returns_indexed_count(self):
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resp = client.get("/api/programme/status")
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assert resp.status_code == 200
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data = resp.json()
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assert "indexed" in data
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assert "total" in data
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class TestHealth:
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def test_health(self):
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resp = client.get("/health")
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assert resp.status_code == 200
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class TestVoteOrphansEndpoint:
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"""GET /api/auswertungen/vote-orphans (öffentlich)."""
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def test_returns_json_structure(self):
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resp = client.get("/api/auswertungen/vote-orphans?limit=5")
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assert resp.status_code == 200
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data = resp.json()
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assert "count" in data
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assert "items" in data
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assert "by_bundesland" in data
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assert isinstance(data["items"], list)
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def test_filter_bundesland_param(self):
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resp = client.get("/api/auswertungen/vote-orphans?bundesland=NRW&limit=3")
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assert resp.status_code == 200
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data = resp.json()
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# Wenn items vorhanden, alle aus NRW
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for it in data["items"]:
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assert it["bundesland"] == "NRW"
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@auth_required
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class TestVoteOrphansAutoRateAuth:
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"""POST /api/auswertungen/vote-orphans/auto-rate erfordert Admin."""
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def test_unauthenticated_rejected(self):
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resp = client.post(
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"/api/auswertungen/vote-orphans/auto-rate",
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data={"limit": 5},
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)
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# Auth-Wall greift entweder direkt 401, 403 oder Redirect (307/302)
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assert resp.status_code in (401, 403, 307, 302)
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@auth_required
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class TestBatchAnalyzeAuth:
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"""POST /api/batch-analyze erfordert Admin."""
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def test_unauthenticated_rejected(self):
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resp = client.post(
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"/api/batch-analyze",
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data={"bundesland": "NRW", "limit": 5},
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)
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assert resp.status_code in (401, 403, 307, 302)
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def test_all_bl_unauthenticated_also_rejected(self):
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resp = client.post(
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"/api/batch-analyze",
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data={"bundesland": "ALL", "limit": 10},
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)
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assert resp.status_code in (401, 403, 307, 302)
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class TestAktuelleThemenEndpoints:
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"""GET /api/aktuelle-themen/* sind oeffentlich."""
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def test_top_returns_buckets(self):
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resp = client.get("/api/aktuelle-themen/top?days=7&top_k=3")
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assert resp.status_code == 200
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data = resp.json()
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assert "buckets" in data
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assert "n_total_news" in data
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assert "filter" in data
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def test_top_with_single_date(self):
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resp = client.get("/api/aktuelle-themen/top?date=2026-05-01")
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assert resp.status_code == 200
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data = resp.json()
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assert data["filter"]["single_date"] == "2026-05-01"
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def test_top_with_only_relevant(self):
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resp = client.get("/api/aktuelle-themen/top?only_relevant=true&top_k=5")
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assert resp.status_code == 200
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data = resp.json()
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assert data["filter"]["only_relevant"] is True
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def test_zeitreihe(self):
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resp = client.get("/api/aktuelle-themen/zeitreihe?days=14")
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assert resp.status_code == 200
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data = resp.json()
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assert "buckets" in data
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assert "sources" in data
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assert "series" in data
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def test_top_antraege(self):
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resp = client.get("/api/aktuelle-themen/top-antraege?min_gwoe_score=8.0")
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assert resp.status_code == 200
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data = resp.json()
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assert "antraege" in data
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def test_cluster(self):
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resp = client.get("/api/aktuelle-themen/cluster?days=7")
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assert resp.status_code == 200
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data = resp.json()
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assert "clusters" in data
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def test_drafts_list(self):
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resp = client.get("/api/aktuelle-themen/drafts?limit=5")
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assert resp.status_code == 200
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data = resp.json()
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assert "drafts" in data
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def test_drafts_versions(self):
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resp = client.get(
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"/api/aktuelle-themen/drafts-versions"
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"?drucksache=missing&news_url=https://example.com/x"
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)
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assert resp.status_code == 200
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data = resp.json()
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assert "versions" in data
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assert isinstance(data["versions"], list)
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class TestScoreHistogramEndpoint:
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"""GET /api/auswertungen/score-histogram (öffentlich)."""
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def test_returns_11_buckets(self):
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resp = client.get("/api/auswertungen/score-histogram")
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assert resp.status_code == 200
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data = resp.json()
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# 11 Buckets: 0–1, 1–2, ..., 10–11
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assert len(data["buckets"]) == 11
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for b in data["buckets"]:
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assert "score_min" in b
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assert "score_max" in b
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assert "count" in b
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assert b["count"] >= 0
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def test_total_matches_sum_of_buckets(self):
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resp = client.get("/api/auswertungen/score-histogram")
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data = resp.json()
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total_sum = sum(b["count"] for b in data["buckets"])
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assert data["total"] == total_sum
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def test_filter_bundesland(self):
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resp = client.get("/api/auswertungen/score-histogram?bundesland=NRW")
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assert resp.status_code == 200
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data = resp.json()
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assert data["filter"]["bundesland"] == "NRW"
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def test_filter_wahlperiode(self):
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resp = client.get("/api/auswertungen/score-histogram?wahlperiode=NRW-WP18")
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assert resp.status_code == 200
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data = resp.json()
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assert data["filter"]["wahlperiode"] == "NRW-WP18"
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@auth_required
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class TestAdminStandAuth:
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"""/v2/admin/stand + /api/admin/stand erfordern Admin."""
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def test_page_unauthenticated_rejected(self):
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resp = client.get("/v2/admin/stand")
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assert resp.status_code in (401, 403, 307, 302)
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def test_api_unauthenticated_rejected(self):
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resp = client.get("/api/admin/stand")
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assert resp.status_code in (401, 403, 307, 302)
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class TestStimmverhaltenAggregateEndpoints:
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"""Die 7 Stimmverhalten-Aggregat-Endpoints liefern strukturierte JSONs (siehe ADR 0010)."""
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def test_stimm_index_returns_fraktionen(self):
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resp = client.get("/api/auswertungen/stimm-index")
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assert resp.status_code == 200
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data = resp.json()
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assert "fraktionen" in data
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assert isinstance(data["fraktionen"], list)
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assert "n_assessments_matched" in data
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def test_stimm_index_min_n_filter(self):
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resp = client.get("/api/auswertungen/stimm-index?min_n=1")
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assert resp.status_code == 200
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data = resp.json()
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assert data["filter"]["min_n"] == 1
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def test_stimm_index_exclude_antragsteller_default(self):
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"""Default `exclude_antragsteller=True`."""
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resp = client.get("/api/auswertungen/stimm-index")
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data = resp.json()
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assert data["filter"]["exclude_antragsteller"] in (True, "true", 1)
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def test_heuchelei_returns_fraktionen(self):
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resp = client.get("/api/auswertungen/heuchelei")
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assert resp.status_code == 200
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data = resp.json()
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assert "fraktionen" in data
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def test_empfehlungs_konsistenz(self):
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resp = client.get("/api/auswertungen/empfehlungs-konsistenz")
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assert resp.status_code == 200
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data = resp.json()
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assert "fraktionen" in data or "items" in data
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def test_stimm_index_pro_wert_5_werte(self):
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resp = client.get("/api/auswertungen/stimm-index-pro-wert")
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assert resp.status_code == 200
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data = resp.json()
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assert "werte" in data
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# 5 GWÖ-Werte: Würde, Solidarität, Nachhaltigkeit, Gerechtigkeit, Demokratie
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assert len(data["werte"]) == 5
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def test_stimm_index_cross_bl(self):
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resp = client.get("/api/auswertungen/stimm-index-cross-bl")
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assert resp.status_code == 200
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data = resp.json()
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assert "fraktionen" in data
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assert "bundeslaender" in data
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assert "cells" in data
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def test_stimm_index_zeitreihe(self):
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resp = client.get("/api/auswertungen/stimm-index-zeitreihe")
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assert resp.status_code == 200
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data = resp.json()
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# Erwartete Felder: buckets (Zeit-Achse), fraktionen, series
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assert "buckets" in data
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assert "fraktionen" in data
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assert "series" in data
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class TestStimmverhaltenCsvExport:
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"""CSV-Export Long-Format aus #168."""
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def test_csv_returns_text(self):
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resp = client.get("/api/auswertungen/stimmverhalten.csv")
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assert resp.status_code == 200
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ctype = resp.headers.get("content-type", "")
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assert "text/csv" in ctype or "text/plain" in ctype
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def test_csv_has_header_row(self):
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resp = client.get("/api/auswertungen/stimmverhalten.csv")
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body = resp.text
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# Header-Zeile mit den erwarteten Long-Format-Spalten
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first_line = body.split("\n", 1)[0]
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# Mindestens drei Pflicht-Spalten erwartet — Partei statt Fraktion in CSV
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for required in ("drucksache", "bundesland", "partei", "vote"):
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assert required in first_line, f"Spalte {required!r} fehlt im Header: {first_line!r}"
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def test_csv_data_rows_have_consistent_columns(self):
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"""Datenzeilen haben gleiche Spalten-Anzahl wie der Header."""
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resp = client.get("/api/auswertungen/stimmverhalten.csv")
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body = resp.text.strip()
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if not body:
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pytest.skip("kein CSV-Body — DB enthält evtl. keine Vote-Matches")
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lines = body.split("\n")
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n_cols = lines[0].count(",") + 1
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for line in lines[1:6]: # Samples
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assert line.count(",") + 1 == n_cols, f"Spaltenzahl-Mismatch: {line!r}"
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