server/app.py

# 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)