Upload public_routes.py

backend/media_analysis/public_routes.py

@@ -31,6 +31,9 @@ def media_analyze_public():
         return jsonify({"error": "JSON object required"}), 400
     question = body.get("question")
     idx = body.get("metadata_row_index")
+    export_csv = body.get("export_csv", True)  # legacy clients remain CSV-first
+    if not isinstance(export_csv, bool):
+        return jsonify({"error": "export_csv must be a boolean"}), 400
     if not isinstance(question, str) or not (1 <= len(question.strip()) <= 1200):
         return jsonify({"error": "question must be 1-1200 characters"}), 400
     if isinstance(idx, bool) or not isinstance(idx, int) or idx < 0:
@@ -74,10 +77,12 @@ def media_analyze_public():
         return jsonify({"error": "Media analysis is busy; please retry shortly"}), 429
     try:
         result = analyze_media_question(question.strip(), [paper], enabled=True,
-                 provider=provider, model=model, max_output_tokens=4096,
-                 evidence_mode="combined", export_csv=True, analysis_mode="auto")
+                 provider=provider, model=model, max_output_tokens=4096 if export_csv else 1600,
+                 evidence_mode="combined", export_csv=export_csv,
+                 analysis_mode="extract_all" if export_csv else "interpret")
         # Do not send large duplicate tabular records: CSV already carries the data.
         result.pop("structured_data", None)
+        result["export_csv_requested"] = export_csv
         return jsonify(result)
     except (MediaSelectionError, VisionConfigurationError, ValueError, FileNotFoundError) as exc:
         return jsonify({"error": str(exc)}), 400