Fix release blockers and deployment build

tests/unit/test_ai.py

@@ -9,10 +9,12 @@ from apps.jobs.models import AiAnalysisCache
 from apps.jobs.services import ai as ai_service
 from apps.jobs.services.ai import analyze_job_text
 
+pytestmark = pytest.mark.django_db
+
 
 def _evaluation_cases() -> list[dict[str, object]]:
-    path = Path(__file__).resolve().parents[1] / "fixtures" / "ai" / "evaluation_set.json"
-    return json.loads(path.read_text(encoding="utf-8"))["cases"]
+    path = Path(__file__).resolve().parents[2] / "fixtures" / "ai" / "evaluation_set.json"
+    return json.loads(path.read_text(encoding="utf-8-sig"))["cases"]
 
 
 @pytest.mark.parametrize("case", _evaluation_cases(), ids=lambda case: case["id"])
@@ -31,6 +33,7 @@ def test_ai_evaluation_cases(monkeypatch, case):
         return
 
     if case["response_type"] == "timeout":
+
         class FakeClient:
             def __init__(self, *args, **kwargs):
                 pass
@@ -46,6 +49,7 @@ def test_ai_evaluation_cases(monkeypatch, case):
 
         monkeypatch.setattr(httpx, "Client", FakeClient)
     else:
+
         class FakeClient:
             def __init__(self, *args, **kwargs):
                 pass
@@ -112,7 +116,10 @@ def test_ai_cache_reuses_result(monkeypatch):
             nonlocal calls
             calls += 1
             return _fake_response(
-                '{"summary_nl":"Gevalideerde IT-ops advertentie.","features":{"support_ratio":0.03,"consultancy_ratio":0.01,"travel_ratio":0.02,"seniority":"senior","evidence":["IT"]},"warnings":[]}'
+                '{"summary_nl":"Gevalideerde IT-ops advertentie.",'
+                '"features":{"support_ratio":0.03,"consultancy_ratio":0.01,'
+                '"travel_ratio":0.02,"seniority":"senior","evidence":["IT"]},'
+                '"warnings":[]}'
             )
 
     monkeypatch.setattr(httpx, "Client", FakeClient)