Upload app.py

app.py

@@ -243,46 +243,24 @@ def query_financial_data(company_name, query_type):
                 timeout=60
             )
             
-            # 调试：显示 HTTP 响应状态
-            result += f"\n**Debug Info (3-Year)**:\n- HTTP Status: {metrics_resp.status_code}\n"
-            
             if metrics_resp.status_code != 200:
                 return result + f"❌ Server Error: HTTP {metrics_resp.status_code}\n\n{metrics_resp.text[:500]}"
             
             try:
                 metrics_result = metrics_resp.json()
-                # 调试：显示原始 JSON 响应
-                result += f"- Raw Response Length: {len(metrics_resp.text)} chars\n"
-                result += f"- Response Preview: {metrics_resp.text[:200]}...\n\n"
-                
                 # 使用统一的 MCP 响应解析函数
                 metrics = parse_mcp_response(metrics_result)
-                
-                # 调试：显示解析后的数据类型和内容
-                result += f"- Parsed Type: {type(metrics).__name__}\n"
-                if isinstance(metrics, dict):
-                    result += f"- Parsed Keys: {list(metrics.keys())}\n"
-                    result += f"- Periods: {metrics.get('periods', 'N/A')}\n"
-                    result += f"- Data Length: {len(metrics.get('data', []))}\n\n"
             except (ValueError, KeyError, json.JSONDecodeError) as e:
                 return result + f"❌ JSON Parse Error: {str(e)}\n\nResponse: {metrics_resp.text[:500]}"
             
             if isinstance(metrics, dict) and metrics.get("error"):
                 return result + f"❌ {metrics['error']}"
             
-            # 调试：显示原始响应
-            if not isinstance(metrics, dict):
-                return result + f"❌ Invalid response format\n\nDebug: {str(metrics)[:500]}"
-            
             result += f"## 3-Year Financial Trends ({metrics.get('periods', 0)} periods)\n\n"
             
             # 显示所有数据（包括年度和季度）
             all_data = metrics.get('data', [])  # MCP Server 返回的字段是 'data'
             
-            # 调试：检查是否有数据
-            if not all_data:
-                return result + f"❌ No data returned from MCP Server\n\nDebug: metrics keys = {list(metrics.keys())}\n\nFull response: {json.dumps(metrics, indent=2, ensure_ascii=False)[:1000]}"
-            
             # 去重：根据period和source_form去重
             seen = set()
             unique_data = []
@@ -347,44 +325,22 @@ def query_financial_data(company_name, query_type):
                 timeout=60
             )
             
-            # 调试：显示 HTTP 响应状态
-            result += f"\n**Debug Info (5-Year)**:\n- HTTP Status: {metrics_resp.status_code}\n"
-            
             if metrics_resp.status_code != 200:
                 return result + f"❌ Server Error: HTTP {metrics_resp.status_code}\n\n{metrics_resp.text[:500]}"
             
             try:
                 metrics_result = metrics_resp.json()
-                # 调试：显示原始 JSON 响应
-                result += f"- Raw Response Length: {len(metrics_resp.text)} chars\n"
-                result += f"- Response Preview: {metrics_resp.text[:200]}...\n\n"
-                
                 # 使用统一的 MCP 响应解析函数
                 metrics = parse_mcp_response(metrics_result)
-                
-                # 调试：显示解析后的数据类型和内容
-                result += f"- Parsed Type: {type(metrics).__name__}\n"
-                if isinstance(metrics, dict):
-                    result += f"- Parsed Keys: {list(metrics.keys())}\n"
-                    result += f"- Periods: {metrics.get('periods', 'N/A')}\n"
-                    result += f"- Data Length: {len(metrics.get('data', []))}\n\n"
             except (ValueError, KeyError, json.JSONDecodeError) as e:
                 return result + f"❌ JSON Parse Error: {str(e)}\n\nResponse: {metrics_resp.text[:500]}"
             
             if isinstance(metrics, dict) and metrics.get("error"):
                 return result + f"❌ {metrics['error']}"
             
-            # 调试：显示原始响应
-            if not isinstance(metrics, dict):
-                return result + f"❌ Invalid response format\n\nDebug: {str(metrics)[:500]}"
-            
             # 显示所有数据（包括年度和季度）
             all_data = metrics.get('data', [])  # MCP Server 返回的字段是 'data'
             
-            # 调试：检查是否有数据
-            if not all_data:
-                return result + f"❌ No data returned from MCP Server\n\nDebug: metrics keys = {list(metrics.keys())}\n\nFull response: {json.dumps(metrics, indent=2, ensure_ascii=False)[:1000]}"
-            
             # 去重：根据period和source_form去重
             seen = set()
             unique_data = []
@@ -625,4 +581,10 @@ with gr.Blocks(title="SEC Financial Data Query Assistant") as demo:
     gr.Markdown("---")
     gr.Markdown(f"**Data Source**: SEC EDGAR | **MCP Server**: `{MCP_URL}`")
 
-demo.launch()
+# Launch the app for Hugging Face Space
+if __name__ == "__main__":
+    demo.launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        show_error=True
+    )