update applying current ai insight from dashboard-cpsp

backend/apps/sync/services/mirror_pull.py

@@ -421,21 +421,36 @@ def _upsert_kpis(cycle: Cycle, rows: list[dict[str, Any]]) -> int:
 
 
 def _upsert_ai_insights(cycle: Cycle, rows: list[dict[str, Any]]) -> int:
+    import json
     count = 0
     for raw in rows:
-        row_date = _as_date(raw.get("date"))
-        section = str(raw.get("section") or "")[:100]
-        session = str(raw.get("session") or "")[:100]
-        if row_date is None:
-            continue
+        row_date = _as_date(raw.get("date")) or cycle.start_date
+        topic = str(raw.get("topic") or "")[:64]
+        report_type = str(raw.get("report_type") or "page")[:32]
+        report_period = str(raw.get("report_period") or "current")[:64]
+        insight_text = str(raw.get("insight_text") or "")
+        summary = str(raw.get("summary") or "")
+        alert = str(raw.get("alert") or "")[:100]
+        raw_citations = raw.get("citations")
+        if isinstance(raw_citations, (list, dict)):
+            citations_str = json.dumps(raw_citations, ensure_ascii=False)
+        elif isinstance(raw_citations, str):
+            citations_str = raw_citations
+        else:
+            citations_str = "[]"
+
         AIInsight.objects.update_or_create(
             cycle=cycle,
-            date=row_date,
-            section=section,
-            session=session,
+            kandang=cycle.kandang,
+            topic=topic,
+            report_type=report_type,
+            report_period=report_period,
             defaults={
-                "insight_text": str(raw.get("insight_text") or ""),
-                "alert": str(raw.get("alert") or "")[:100],
+                "date": row_date,
+                "insight_text": insight_text,
+                "summary": summary,
+                "alert": alert,
+                "citations": citations_str,
             },
         )
         count += 1