Upload app.py

metadata_search/app.py

@@ -307,12 +307,22 @@ def api_health():
     summaries_dir = os.getenv("PAPER_SUMMARIES_DIR", "")
     from metadata_search.search_service import get_rows, get_vector_store
 
+    paper_rows = 0
+    vector_points = 0
+    vector_error = None
+    rows_error = None
+
     try:
-        vector_points = get_vector_store().points_count()
         paper_rows = len(get_rows())
-    except Exception:
-        vector_points = 0
-        paper_rows = 0
+    except Exception as exc:
+        rows_error = f"{type(exc).__name__}: {exc}"
+
+    try:
+        vector_points = get_vector_store().points_count()
+    except Exception as exc:
+        vector_error = f"{type(exc).__name__}: {exc}"
+        print(f"[health] Vector-store error: {vector_error}", flush=True)
+
     return jsonify(
         {
             "status": "ok",
@@ -328,6 +338,13 @@ def api_health():
             "llm_backend": llm_backend_name(),
             "retrieval": "mcp" if use_mcp() else "direct",
             "search_score_mode": search_score_mode(),
+            "diagnostics": {
+                "paper_csv_path": str(PAPER_CSV),
+                "qdrant_path": os.getenv("METADATA_QDRANT_PATH", ""),
+                "qdrant_manifest": os.getenv("METADATA_QDRANT_MANIFEST", ""),
+                "rows_error": rows_error,
+                "vector_error": vector_error,
+            },
         }
     )