ai insight rework #3, add root cause to daily ai insight

backend/apps/operations/tests_insight_quality.py

@@ -672,6 +672,88 @@ class RootCauseTests(TestCase):
         self.assertEqual(sanitized["perbaikan_siklus_berikutnya"][0]["id"], "pakan_akses")
 
 
+class DailyAkarMasalahTests(TestCase):
+    """Test daily AI insight 3-section format (kesimpulan, akar_masalah, insight)."""
+
+    def test_parse_llm_json_with_akar_masalah(self):
+        payload = json.dumps({
+            "kesimpulan": "FCR 1.40 pada hari ke-28 berada di atas standar CP 707 (1.315).",
+            "akar_masalah": "Fluktuasi suhu kandang malam hari dan akses pakan tidak merata.",
+            "insight": "Lakukan kalibrasi pemanas dan ratakan distribusi pakan di sepanjang brooding area."
+        })
+        parsed = insight_service.parse_llm_json(payload)
+        self.assertIsNotNone(parsed)
+        self.assertEqual(parsed["kesimpulan"], "FCR 1.40 pada hari ke-28 berada di atas standar CP 707 (1.315).")
+        self.assertEqual(parsed["akar_masalah"], "Fluktuasi suhu kandang malam hari dan akses pakan tidak merata.")
+        self.assertIn("kalibrasi pemanas", parsed["insight"])
+
+    def test_parse_llm_json_variants(self):
+        payload = json.dumps({
+            "summary": "Kondisi pakan normal.",
+            "root_cause": "Kondisi operasional optimal, tidak terdeteksi indikasi deviasi.",
+            "rekomendasi": "Pertahankan SOP saat ini."
+        })
+        parsed = insight_service.parse_llm_json(payload)
+        self.assertIsNotNone(parsed)
+        self.assertEqual(parsed["kesimpulan"], "Kondisi pakan normal.")
+        self.assertEqual(parsed["akar_masalah"], "Kondisi operasional optimal, tidak terdeteksi indikasi deviasi.")
+        self.assertEqual(parsed["insight"], "Pertahankan SOP saat ini.")
+
+    def test_parse_llm_json_legacy_fallback(self):
+        payload = json.dumps({
+            "kesimpulan": "Data normal.",
+            "insight": "Lanjutkan pemantauan harian."
+        })
+        parsed = insight_service.parse_llm_json(payload)
+        self.assertIsNotNone(parsed)
+        self.assertEqual(parsed["kesimpulan"], "Data normal.")
+        self.assertEqual(parsed["akar_masalah"], "")
+        self.assertEqual(parsed["insight"], "Lanjutkan pemantauan harian.")
+
+    def test_embedded_daily_serialization(self):
+        clean_insight = "Lakukan penyesuaian tirai kandang dan ventilasi minimal."
+        akar_masalah = "Suhu brooding terlalu dingin di malam hari (26C vs 32C)."
+        daily_json = json.dumps({"akar_masalah": akar_masalah, "insight": clean_insight}, ensure_ascii=False)
+        stored_text = f"{clean_insight}\n\n{insight_service.DAILY_JSON_MARKER}\n{daily_json}"
+
+        mock_row = MagicMock()
+        mock_row.pk = 1
+        mock_row.cycle_id = 10
+        mock_row.kandang_id = 2
+        mock_row.topic = "fcr"
+        mock_row.report_type = "page"
+        mock_row.report_period = "current"
+        mock_row.summary = "FCR tinggi pada hari ke-7."
+        mock_row.insight_text = stored_text
+        mock_row.alert = "warning"
+        mock_row.citations = "[]"
+        mock_row.date = None
+        mock_row.created_at = None
+        mock_row.updated_at = None
+
+        serialized = insight_service.serialize_insight(mock_row)
+        self.assertTrue(serialized["success"])
+        self.assertEqual(serialized["summary"], "FCR tinggi pada hari ke-7.")
+        self.assertEqual(serialized["akar_masalah"], akar_masalah)
+        self.assertEqual(serialized["insight"], clean_insight)
+        self.assertIn(akar_masalah, serialized["insight_text"])
+        self.assertIn(clean_insight, serialized["insight_text"])
+
+    def test_daily_prompt_structure(self):
+        prompt = insight_service.build_insight_user_prompt(
+            topic="fcr",
+            kandang_name="Kandang 01",
+            report_type="page",
+            report_period="current",
+            context={"fcr_terakhir": 1.4},
+            graded={"analyses": {"fcr": {"status": "warning", "message": "FCR tinggi"}}},
+            is_end_cycle=False,
+        )
+        self.assertIn("akar_masalah", prompt)
+        self.assertIn("ANALISIS AKAR PENYEBAB", prompt)
+        self.assertIn('"akar_masalah":"<analisis faktor pemicu', prompt)
+
+
 class TraceLintTests(TestCase):
     """Test rag_trace.jsonl linting logic."""