Create app.py

app.py

@@ -0,0 +1,122 @@
+import gradio as gr
+import httpx
+import json
+import os
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Configuration
+MODAL_MCP_ENDPOINT = os.getenv("MODAL_MCP_ENDPOINT", "") # Should be like "https://username--mcp-server-app-execute-tool.modal.run"
+TOOL_NAME = "pydocstyle"
+AGENT_ID = "gradio-pydocstyle-ui"
+SESSION_ID = "default_session"
+
+# Example Python code with potential pydocstyle issues
+EXAMPLE_CODE = """
+# No module docstring here
+
+def example_function_missing_docstring():
+    pass
+
+class ExampleClassMissingDocstring:
+    def method_missing_docstring(self):
+        pass
+
+def well_documented_function():
+    \"\"\"This function is well documented.\"\"\"
+    return True
+"""
+
+async def call_mcp_tool(tool_params_json: str) -> str:
+    """Calls the specified MCP tool on the Modal server with JSON parameters."""
+    if not MODAL_MCP_ENDPOINT:
+        return json.dumps({"error": "MODAL_MCP_ENDPOINT environment variable is not set. Please set it in your .env file."})
+    
+    print(f"Attempting to use Modal Endpoint for Pydocstyle: {MODAL_MCP_ENDPOINT}")
+
+    try:
+        tool_params = json.loads(tool_params_json)
+    except json.JSONDecodeError as e:
+        return json.dumps({"error": f"Invalid JSON input for tool parameters: {str(e)}"})
+
+    payload = {
+        "tool_name": TOOL_NAME,
+        "tool_params": tool_params, # Expects {'code': '...'}
+        "agent_id": AGENT_ID,
+        "session_id": SESSION_ID,
+        "context": {}
+    }
+
+    print(f"Calling MCP tool: {TOOL_NAME} at {MODAL_MCP_ENDPOINT} with params: {tool_params}")
+
+    try:
+        async with httpx.AsyncClient(timeout=60.0) as client:
+            response = await client.post(MODAL_MCP_ENDPOINT, json=payload)
+        
+        response.raise_for_status() # Will raise an exception for 4XX/5XX responses
+        
+        # The Modal endpoint returns a tuple: [response_dict, status_code]
+        # We need to parse the response content if it's a string, or access the first element if it's already a list/tuple
+        raw_response_data = response.json()
+        print(raw_response_data) # For debugging the raw response from Modal
+
+        if isinstance(raw_response_data, list) and len(raw_response_data) > 0:
+            # Assuming the actual result is the first element of the list (the dict part of the tuple)
+            mcp_result = raw_response_data[0]
+        elif isinstance(raw_response_data, dict): # If it directly returns the dict (less likely based on current MCP server)
+            mcp_result = raw_response_data
+        else:
+            return json.dumps({"error": "Unexpected response format from MCP server", "raw_response": str(raw_response_data)})
+
+        return json.dumps(mcp_result, indent=2)
+    
+    except httpx.HTTPStatusError as e:
+        error_message = f"HTTP error occurred: {e.response.status_code} - {e.response.text}"
+        print(error_message)
+        try:
+            # Attempt to parse error response from server if JSON
+            error_details = e.response.json()
+            return json.dumps({"error": "HTTP Error from MCP Server", "details": error_details, "status_code": e.response.status_code}, indent=2)
+        except json.JSONDecodeError:
+            return json.dumps({"error": error_message}, indent=2)
+    except httpx.RequestError as e:
+        error_message = f"Request error occurred: {str(e)}"
+        print(error_message)
+        return json.dumps({"error": error_message}, indent=2)
+    except json.JSONDecodeError as e:
+        # This might happen if the response from Modal isn't valid JSON, though raise_for_status should catch HTTP errors first.
+        error_message = f"Failed to decode JSON response from MCP server: {str(e)}"
+        print(error_message)
+        return json.dumps({"error": error_message, "raw_response_text": response.text if 'response' in locals() else 'N/A'}, indent=2)
+    except Exception as e:
+        error_message = f"An unexpected error occurred: {str(e)}"
+        print(error_message)
+        return json.dumps({"error": error_message}, indent=2)
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=call_mcp_tool,
+    inputs=gr.Code(
+        value=json.dumps({"code": EXAMPLE_CODE}, indent=2),
+        language="json",
+        label="Pydocstyle Tool Parameters (JSON - must include 'code' key)"
+    ),
+    outputs=gr.Code(language="json", label="Pydocstyle Analysis Output"),
+    title="Pydocstyle Documentation Checker (via MCP on Modal)",
+    description=(
+        "Enter Python code as a JSON object under the 'code' key to check for documentation style issues using Pydocstyle. "
+        "The application sends the code to a Pydocstyle tool running on a Modal Labs MCP server and displays the results."
+        "Ensure your MODAL_MCP_ENDPOINT is set in a .env file (e.g., MODAL_MCP_ENDPOINT=https://your-modal-app-url/execute_tool)."
+    ),
+    allow_flagging="never"
+)
+
+if __name__ == "__main__":
+    if not MODAL_MCP_ENDPOINT:
+        print("ERROR: MODAL_MCP_ENDPOINT is not set. Please create a .env file in the mcp_deploy directory with this variable.")
+        print("Example .env content: MODAL_MCP_ENDPOINT=https://your-username--mcp-server-app-execute-tool.modal.run")
+    else:
+        print(f"Using Modal MCP Endpoint: {MODAL_MCP_ENDPOINT}")
+    iface.launch(server_name="0.0.0.0")