Upload app.py

app.py

@@ -243,24 +243,46 @@ 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\n{metrics_resp.text[:500]}"
+                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 = []
@@ -325,22 +347,44 @@ 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\n{metrics_resp.text[:500]}"
+                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���
             seen = set()
             unique_data = []