cbeighle/nfl_playcall_env
0
1# Copyright (c) Meta Platforms, Inc. and affiliates.2# All rights reserved.3#4# This source code is licensed under the BSD-style license found in the5# LICENSE file in the root directory of this source tree.6 7"""8FastAPI application for the Nfl Playcall Env Environment.9 10This module creates an HTTP server that exposes the NflPlaycallEnvironment11over HTTP and WebSocket endpoints, compatible with EnvClient.12 13Endpoints:14 - POST /reset: Reset the environment15 - POST /step: Execute an action16 - GET /state: Get current environment state17 - GET /schema: Get action/observation schemas18 - WS /ws: WebSocket endpoint for persistent sessions19 20Usage:21 # Development (with auto-reload):22 uvicorn server.app:app --reload --host 0.0.0.0 --port 800023 24 # Production:25 uvicorn server.app:app --host 0.0.0.0 --port 8000 --workers 426 27 # Or run directly:28 python -m server.app29"""30 31try:32 from openenv.core.env_server.http_server import create_app33except Exception as e: # pragma: no cover34 raise ImportError(35 "openenv is required for the web interface. Install dependencies with '\n uv sync\n'"36 ) from e37 38# Import from local models.py (PYTHONPATH includes /app/env in Docker)39from models import NflPlaycallAction, NflPlaycallObservation40from .nfl_playcall_env_environment import NflPlaycallEnvironment41 42 43# Create the app with web interface and README integration44app = create_app(45 NflPlaycallEnvironment,46 NflPlaycallAction,47 NflPlaycallObservation,48 env_name="nfl_playcall_env",49 max_concurrent_envs=1, # increase this number to allow more concurrent WebSocket sessions50)51 52 53def main(host: str = "0.0.0.0", port: int = 8000):54 """55 Entry point for direct execution via uv run or python -m.56 57 This function enables running the server without Docker:58 uv run --project . server59 uv run --project . server --port 800160 python -m nfl_playcall_env.server.app61 62 Args:63 host: Host address to bind to (default: "0.0.0.0")64 port: Port number to listen on (default: 8000)65 66 For production deployments, consider using uvicorn directly with67 multiple workers:68 uvicorn nfl_playcall_env.server.app:app --workers 469 """70 import uvicorn71 72 uvicorn.run(app, host=host, port=port)73 74 75if __name__ == "__main__":76 import argparse77 78 parser = argparse.ArgumentParser()79 parser.add_argument("--port", type=int, default=8000)80 args = parser.parse_args()81 main(port=args.port)82 