Complete DDS training workflow and delivery package

backend/tests/test_group_insight.py

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+"""ИИ-инсайт получает только агрегаты и обязан вернуть строгий JSON."""
+
+import json
+
+import pytest
+
+from app.config import get_settings
+from app.scoring import group_insight
+
+
+@pytest.fixture(autouse=True)
+def local_settings(monkeypatch):
+    monkeypatch.setenv("LLM_PROVIDER", "local")
+    monkeypatch.setenv("LLM_BASE_URL", "http://127.0.0.1:18080/v1")
+    get_settings.cache_clear()
+    yield
+    get_settings.cache_clear()
+
+
+@pytest.mark.asyncio
+async def test_insight_uses_only_aggregates_and_strict_schema(monkeypatch):
+    seen = []
+
+    class FakeClient:
+        def __init__(self, **_kwargs): pass
+        async def complete(self, request, **_kwargs):
+            seen.append(request)
+            return json.dumps({
+                "summary": "Группа чаще всего теряет обязательные сведения при опросе.",
+                "priorities": ["Отработать уточнение адреса и этажа."],
+            }, ensure_ascii=False)
+        async def aclose(self): pass
+
+    monkeypatch.setattr(group_insight, "LlmClient", FakeClient)
+    result = await group_insight.generate_group_insight({
+        "active_trainees": 4,
+        "scored_attempts": 7,
+        "average_score": 76.2,
+        "errors": [{
+            "code": "E2", "title": "Пропущен обязательный факт",
+            "rate_percent": 50.0, "recommendation": "Повторить алгоритм опроса",
+        }],
+    })
+    assert result["priorities"] == ["Отработать уточнение адреса и этажа."]
+    request = seen[0]
+    assert request.temperature == 0
+    assert request.response_format["schema"]["additionalProperties"] is False
+    payload = json.loads(request.messages[1]["content"])
+    assert set(payload) == {"active_trainees", "scored_attempts", "average_score", "typical_errors"}
+    assert "trainee_id" not in json.dumps(payload)
+    assert "group" not in json.dumps(payload)
+
+
+@pytest.mark.asyncio
+async def test_insight_rejects_wrong_shape(monkeypatch):
+    class FakeClient:
+        def __init__(self, **_kwargs): pass
+        async def complete(self, *_args, **_kwargs):
+            return '{"summary":"слишком кратко","priorities":[],"secret":"x"}'
+        async def aclose(self): pass
+
+    monkeypatch.setattr(group_insight, "LlmClient", FakeClient)
+    with pytest.raises(group_insight.InsightInvalid):
+        await group_insight.generate_group_insight({
+            "active_trainees": 1, "scored_attempts": 1, "average_score": 50,
+            "errors": [],
+        })