fix weight ai insight target weight data using mr. mike instead of cp707

backend/apps/operations/services/insight_service.py

@@ -776,6 +776,36 @@ def enforce_mortality_wording(
     return out
 
 
+def enforce_bw_wording(
+    parsed: dict[str, Any],
+    graded: dict[str, Any] | None,
+) -> dict[str, Any]:
+    """Ensure body weight status and narrative match graded facts."""
+    bw = ((graded or {}).get("analyses") or {}).get("bw") or {}
+    status = str(bw.get("status") or "").lower()
+    if not status:
+        return parsed
+
+    message = str(bw.get("message") or "").strip()
+    actual = bw.get("actual")
+    std = bw.get("standard")
+
+    out = dict(parsed)
+    kesimpulan = str(out.get("kesimpulan") or "")
+
+    # If graded status is OK, but summary claims it is below standard / critical:
+    if status == "ok" and any(
+        w in kesimpulan.lower()
+        for w in ("di bawah standar", "sangat rendah", "critical", "kritis", "jauh di bawah")
+    ):
+        if message:
+            out["kesimpulan"] = message
+        elif actual is not None and std is not None:
+            out["kesimpulan"] = f"Bobot badan ayam ({actual:g}g) sesuai dengan target standar ({std:g}g)."
+
+    return out
+
+
 _DUP_KANDANG = re.compile(r"\b[Kk]andang(?:\s+[Kk]andang)+\b")
 
 
@@ -1111,6 +1141,7 @@ def generate_insight(
                     "insight": str(parsed_raw.get("insight") or ""),
                 }
                 soft = enforce_mortality_wording(soft, graded)
+                soft = enforce_bw_wording(soft, graded)
                 soft = sanitize_insight_narrative(soft)
                 parsed_raw["kesimpulan"] = soft.get("kesimpulan")
                 parsed_raw["insight"] = soft.get("insight")
@@ -1143,6 +1174,7 @@ def generate_insight(
                     "Output LLM tidak sesuai format JSON yang diminta: " + repr(str(raw)[:200])
                 )
             parsed = enforce_mortality_wording(parsed, graded)
+            parsed = enforce_bw_wording(parsed, graded)
             parsed = sanitize_insight_narrative(parsed)
             insight_text = parsed["insight"]
             summary = parsed["kesimpulan"]