# Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. """ FastAPI application for the Enterprise Qa Environment. This module creates an HTTP server that exposes the EnterpriseQaEnvironment over HTTP and WebSocket endpoints, compatible with EnvClient. Endpoints: - POST /reset: Reset the environment - POST /step: Execute an action - GET /state: Get current environment state - GET /schema: Get action/observation schemas - WS /ws: WebSocket endpoint for persistent sessions Usage: # Development (with auto-reload): uvicorn server.app:app --reload --host 0.0.0.0 --port 8000 # Production: uvicorn server.app:app --host 0.0.0.0 --port 8000 --workers 4 # Or run directly: python -m server.app """ import os try: from openenv_core.env_server.http_server import create_app except Exception as e: # pragma: no cover raise ImportError( "openenv is required for the web interface. Install dependencies with '\n uv sync\n'" ) from e # Import from local models.py (PYTHONPATH includes /app/env in Docker) from models import EnterpriseQaAction, EnterpriseQaObservation from .enterprise_qa_environment import EnterpriseQaEnvironment # Create the app with web interface and README integration app = create_app( EnterpriseQaEnvironment, EnterpriseQaAction, EnterpriseQaObservation, env_name="enterprise_qa", max_concurrent_envs=4, ) # Always mount custom Gradio UI at / to override the default "Meta" interface import gradio as gr from .gradio_ui import build_ui gradio_demo = build_ui() app = gr.mount_gradio_app(app, gradio_demo, path="/") def main(host: str = "0.0.0.0", port: int = 8000): """ Entry point for direct execution via uv run or python -m. This function enables running the server without Docker: uv run --project . server uv run --project . server --port 8001 python -m enterprise_qa.server.app Args: host: Host address to bind to (default: "0.0.0.0") port: Port number to listen on (default: 8000) For production deployments, consider using uvicorn directly with multiple workers: uvicorn enterprise_qa.server.app:app --workers 4 """ import uvicorn uvicorn.run(app, host=host, port=port) if __name__ == "__main__": import argparse parser = argparse.ArgumentParser() parser.add_argument("--port", type=int, default=8000) args = parser.parse_args() main(port=args.port)