fix([2fd88f42]): implement vite proxy for robust API calls and add logging

heatmap-tool/backend/main.py

@@ -44,6 +44,7 @@ def read_root():
 @app.post("/api/upload")
 async def upload_file(file: UploadFile = File(...)):
     global df_storage, plz_column_name
+    print(f"--- Received request to /api/upload for file: {file.filename} ---")
     if not file.filename.endswith('.xlsx'):
         raise HTTPException(status_code=400, detail="Invalid file format. Please upload an .xlsx file.")
 
@@ -77,16 +78,20 @@ async def upload_file(file: UploadFile = File(...)):
 
         df_storage = df
         
+        print(f"Successfully processed file. Found PLZ column: '{plz_column_name}'. Detected {len(filters)} filterable columns.")
         return {"filename": file.filename, "filters": filters, "plz_column": plz_column_name}
 
     except Exception as e:
+        print(f"ERROR processing file: {e}")
         raise HTTPException(status_code=500, detail=f"An error occurred while processing the file: {e}")
 
 
 @app.post("/api/heatmap")
 async def get_heatmap_data(request: FilterRequest):
     global df_storage, plz_column_name
+    print(f"--- Received request to /api/heatmap with filters: {request.filters} ---")
     if df_storage is None:
+        print("ERROR: No data in df_storage. File must be uploaded first.")
         raise HTTPException(status_code=404, detail="No data available. Please upload a file first.")
 
     try:
@@ -117,7 +122,9 @@ async def get_heatmap_data(request: FilterRequest):
                     "count": row["count"]
                 })
         
+        print(f"Generated heatmap data with {len(heatmap_data)} PLZ points.")
         return heatmap_data
 
     except Exception as e:
+        print(f"ERROR generating heatmap: {e}")
         raise HTTPException(status_code=500, detail=f"An error occurred while generating heatmap data: {e}")