# 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 Data Wrangler Environment.

This module creates an HTTP server that exposes the DataWranglerEnvironment
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
from fastapi.responses import RedirectResponse

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

try:
    from ..models import DataWranglerAction, DataWranglerObservation
    from .data_wrangler_environment import DataWranglerEnvironment
except (ImportError, ValueError, ModuleNotFoundError):
    import sys
    import os
    sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
    from models import DataWranglerAction, DataWranglerObservation
    from server.data_wrangler_environment import DataWranglerEnvironment


# Create the app with web interface and README integration
app = create_app(
    DataWranglerEnvironment,
    DataWranglerAction,
    DataWranglerObservation,
    env_name="data_wrangler",
    max_concurrent_envs=int(os.getenv("MAX_CONCURRENT_ENVS", "4")),
)


@app.get("/", include_in_schema=False)
def root_redirect():
    return RedirectResponse(url="/docs")


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 data_wrangler.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 data_wrangler.server.app:app --workers 4
    """
    import uvicorn

    uvicorn.run(app, host=host, port=port)


if __name__ == '__main__':
    # ensures openenv validate passes main() check
    import argparse

    parser = argparse.ArgumentParser()
    parser.add_argument("--port", type=int, default=8000)
    args = parser.parse_args()
    if not args.port or args.port == 8000:
        main()
    else:
        main(port=args.port)