Update app.py

app.py

@@ -497,22 +497,33 @@ def search_avps(query: str, threshold: float = 50) -> str:
         filtered = filtered[filtered["_s"] > 0].sort_values("_s", ascending=False)
         filtered_scores = filtered["_s"].tolist()
 
+    def safe_str(v):
+        """Convertit toute valeur en string, gère NaN, None, bool, numpy types."""
+        if v is None:
+            return ""
+        try:
+            if pd.isna(v):
+                return ""
+        except (TypeError, ValueError):
+            pass
+        return str(v)
+
     out = []
     for i, (_, row) in enumerate(filtered.iterrows()):
-        job_id = str(row.get("id") or "")
-        numero = row.get("numero") or job_id
+        job_id = safe_str(row.get("id"))
+        numero = safe_str(row.get("numero")) or job_id
         out.append({
-            "titre": row.get("titre") or "",
+            "titre": safe_str(row.get("titre")),
             "numero": numero,
-            "direction": row.get("direction_interne_acronyme") or "",
-            "service": row.get("service_acronyme") or "",
-            "grade": row.get("corps_grade") or "",
-            "lieu": row.get("lieu_travail") or "",
+            "direction": safe_str(row.get("direction_interne_acronyme")),
+            "service": safe_str(row.get("service_acronyme")),
+            "grade": safe_str(row.get("corps_grade")),
+            "lieu": safe_str(row.get("lieu_travail")),
             "disponible_immediatement": bool(row.get("disponible_immediatement")),
-            "date_cloture": str(row.get("date_cloture") or ""),
+            "date_cloture": safe_str(row.get("date_cloture")),
             "score": round(float(filtered_scores[i]), 3),
-            "url": row.get("url") or "",
-            "url_markdown": f"https://raw.githubusercontent.com/opt-nc/avps/refs/heads/main/data/{numero}.md",
+            "url": safe_str(row.get("url")),
+            "url_markdown": "https://raw.githubusercontent.com/opt-nc/avps/refs/heads/main/data/" + numero + ".md" if numero else "",
             "keywords": keywords_by_id.get(job_id, []),
         })
     return json.dumps(out[:10], ensure_ascii=False, indent=2)