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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")
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