update ai insight root cause

backend/apps/operations/tests.py

@@ -478,3 +478,92 @@ class ErdPrimaryKeyTests(TestCase):
                 live_pks = [row[1] for row in cursor.fetchall() if row[5]]
                 self.assertEqual(live_pks, [pk_name], table)
 
+
+class AIInsightAPITests(TestCase):
+    def setUp(self):
+        import json
+        self.user = User.objects.create_user(user_name="insight_tester", password="secret")
+        self.client = APIClient()
+        self.client.force_authenticate(self.user)
+        site = _linked_site(self.user, site_name="Site A", code="site-a")
+        self.kandang = Kandang.objects.create(kandang_name="Kandang 01", site=site)
+        self.cycle = Cycle.objects.create(
+            kandang=self.kandang,
+            total_days=35,
+            start_date=date.today() - timedelta(days=5),
+            doc_in_weight=40,
+            doc_in_count=10000,
+            status=Cycle.STATUS_ACTIVE,
+        )
+
+    def test_cached_extracts_akar_masalah_from_daily_json(self):
+        import json
+        from apps.operations.models import AIInsight
+
+        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<!--daily_json-->\n{daily_json}"
+
+        AIInsight.objects.create(
+            cycle=self.cycle,
+            kandang=self.kandang,
+            topic="fcr",
+            report_type="page",
+            report_period="current",
+            date=date.today(),
+            summary="FCR tinggi pada hari ke-7.",
+            insight_text=stored_text,
+            alert="warning",
+        )
+
+        response = self.client.get(
+            "/api/v1/ai-insights/cached/",
+            {
+                "cycle_id": self.cycle.pk,
+                "kandang_id": self.kandang.pk,
+                "topic": "fcr",
+                "report_type": "page",
+                "report_period": "current",
+            },
+        )
+        self.assertEqual(response.status_code, 200)
+        self.assertTrue(response.data["success"])
+        self.assertEqual(response.data["summary"], "FCR tinggi pada hari ke-7.")
+        self.assertEqual(response.data["akar_masalah"], akar_masalah)
+        self.assertEqual(response.data["insight"], clean_insight)
+        self.assertIn(akar_masalah, response.data["insight_text"])
+        self.assertIn(clean_insight, response.data["insight_text"])
+
+    def test_cached_legacy_fallback_without_akar_masalah(self):
+        from apps.operations.models import AIInsight
+
+        AIInsight.objects.create(
+            cycle=self.cycle,
+            kandang=self.kandang,
+            topic="fcr",
+            report_type="page",
+            report_period="current",
+            date=date.today(),
+            summary="Data normal.",
+            insight_text="Pertahankan SOP saat ini.",
+            alert="healthy",
+        )
+
+        response = self.client.get(
+            "/api/v1/ai-insights/cached/",
+            {
+                "cycle_id": self.cycle.pk,
+                "kandang_id": self.kandang.pk,
+                "topic": "fcr",
+                "report_type": "page",
+                "report_period": "current",
+            },
+        )
+        self.assertEqual(response.status_code, 200)
+        self.assertTrue(response.data["success"])
+        self.assertEqual(response.data["summary"], "Data normal.")
+        self.assertEqual(response.data["akar_masalah"], "")
+        self.assertEqual(response.data["insight"], "Pertahankan SOP saat ini.")
+
+