Update metadata_search/app.py

metadata_search/app.py

@@ -10,43 +10,6 @@ from dotenv import load_dotenv
 
 load_dotenv(override=True)
 
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-from local_rag.summaries import summary_path, load_summary
-
-
-@app.get("/api/test-summary")
-def test_summary():
-    file_name = request.args.get("file", "").strip()
-
-    if not file_name:
-        return jsonify({
-            "ok": False,
-            "error": "Missing ?file=..."
-        }), 400
-
-    path = summary_path(file_name)
-    text = load_summary(file_name)
-
-    return jsonify({
-        "ok": path is not None and text is not None,
-        "file_name": file_name,
-        "resolved_path": str(path) if path else None,
-        "text_length": len(text) if text else 0,
-        "preview": text[:500] if text else None,
-    })
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 # ---------------------------------------------------------------------------
 # Hugging Face Dataset bootstrap
 # Download only the search-critical metadata + Qdrant index at startup.
@@ -141,6 +104,54 @@ from backend.model import llm_backend_name
 DEFAULT_TOP_K = 10
 ALLOWED_TOP_K = {10, 50, 100, 200}
 
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+from local_rag.summaries import summary_path, load_summary
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+@app.get("/api/test-summary")
+def test_summary():
+    file_name = request.args.get("file", "").strip()
+
+    if not file_name:
+        return jsonify({
+            "ok": False,
+            "error": "Missing ?file=..."
+        }), 400
+
+    path = summary_path(file_name)
+    text = load_summary(file_name)
+
+    return jsonify({
+        "ok": path is not None and text is not None,
+        "file_name": file_name,
+        "resolved_path": str(path) if path else None,
+        "text_length": len(text) if text else 0,
+        "preview": text[:500] if text else None,
+    })
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 if not Path(PAPER_CSV).is_file():
     raise SystemExit(f"Paper dataset not found: {PAPER_CSV}. Set PAPER_CSV in .env.")