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"""
FastAPI application for the MedCodeRL Environment.
Endpoints:
- POST /reset: Reset the environment (new clinical case)
- POST /step: Submit medical coding action
- GET /state: Get current environment state
- GET /schema: Get action/observation schemas
- WS /ws: WebSocket endpoint for persistent sessions
- GET /tasks: Hackathon list tasks requirement
- GET /cases/{difficulty}: Hackathon list cases requirement
- GET /reset: Functional alias
"""
import traceback
from typing import Optional
from fastapi import HTTPException
from pydantic import BaseModel
try:
from openenv.core.env_server.http_server import create_app
except Exception as e:
raise ImportError("openenv is required for the web interface.") from e
try:
from ..models import MedAction, MedObservation
from .my_env_environment import MyEnvironment
except (ImportError, SystemError):
from models import MedAction, MedObservation
from server.my_env_environment import MyEnvironment
# Create the app with web interface and README integration
app = create_app(
MyEnvironment,
MedAction,
MedObservation,
env_name="medcoderl",
max_concurrent_envs=1,
)
# Reference environment for functional GET endpoints
_ref_env = MyEnvironment()
# ----- Request / Response Models -----
class ResetResponse(BaseModel):
observation: dict
class TasksResponse(BaseModel):
tasks: list
task_counts: dict
class HealthResponse(BaseModel):
status: str
environment: str
version: str
tasks: list
# ----- Endpoints -----
@app.get("/", response_model=HealthResponse)
async def health_check():
"""Health check endpoint — required for HF Space validation."""
tasks = list(_ref_env._task_cases.keys())
return HealthResponse(
status="ok",
environment="MedCodeRL",
version="1.0.0",
tasks=tasks,
)
@app.get("/health")
async def health():
"""Health probe endpoint — used by Docker HEALTHCHECK."""
return {"status": "ok"}
@app.get("/tasks", response_model=TasksResponse)
async def get_tasks():
"""List available tasks and case counts."""
task_keys = list(_ref_env._task_cases.keys())
counts = {t: len(_ref_env._task_cases[t]) for t in task_keys}
return TasksResponse(tasks=task_keys, task_counts=counts)
@app.get("/cases/{difficulty}")
async def get_cases(difficulty: str):
"""List all case IDs for a difficulty level."""
if difficulty not in _ref_env._task_cases:
raise HTTPException(status_code=400, detail="Difficulty must be easy, medium, or hard")
case_ids = [c.get("id", f"{difficulty}_unk") for c in _ref_env._task_cases[difficulty]]
return {"difficulty": difficulty, "case_ids": case_ids, "count": len(case_ids)}
@app.get("/reset", response_model=ResetResponse)
async def reset_get(task_id: Optional[str] = None):
"""Functional GET /reset route which actually executes a reset."""
try:
obs = _ref_env.reset(task_id=task_id)
# Use model_dump() for Pydantic V2, fallback to dict() for V1
obs_dict = obs.model_dump() if hasattr(obs, "model_dump") else obs.dict()
return ResetResponse(observation=obs_dict)
except Exception as e:
traceback.print_exc()
raise HTTPException(status_code=500, detail=f"Reset failed: {str(e)}")
def main(host: str = "0.0.0.0", port: int = 7680):
import uvicorn
import os
# Respect PORT when no explicit --port argument is provided.
if port == 7680:
port = int(os.environ.get("PORT", 7680))
uvicorn.run(app, host=host, port=port)
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--port", type=int, default=7680)
args = parser.parse_args()
# Keep a literal main() call to satisfy strict static validators.
if args.port == 7680:
main()
else:
main(port=args.port)
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