server/app.py

"""
FastAPI application for the SWEbench-IN Environment.

Creates an HTTP server that exposes the SWEbenchINEnvironment
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:
    uvicorn server.app:app --reload --host 0.0.0.0 --port 7860

    # Or run directly:
    python -m swebench_in.server.app
"""

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 sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from models import SWEbenchINAction, SWEbenchINObservation
from server.swebench_in_environment import SWEbenchINEnvironment


# Create the app with web interface and README integration
app = create_app(
    SWEbenchINEnvironment,
    SWEbenchINAction,
    SWEbenchINObservation,
    env_name="swebench_in",
    max_concurrent_envs=1,
)


def main(host: str = "0.0.0.0", port: int = 7860):
    """
    Entry point for direct execution via uv run or python -m.

    This function enables running the server without Docker:
        uv run --project . server
        python -m swebench_in.server.app

    Args:
        host: Host address to bind to (default: "0.0.0.0")
        port: Port number to listen on (default: 7068)
    """
    import uvicorn

    # HuggingFace Spaces expects the app on PORT (typically 7860).
    port = int(os.getenv("PORT", str(port)))

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


if __name__ == "__main__":
    main()