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Browse files- Dockerfile +1 -1
- openenv.yaml +2 -2
- pyproject.toml +3 -0
- server/__init__.py +1 -0
- server/app.py +154 -0
- uv.lock +0 -0
Dockerfile
CHANGED
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@@ -14,4 +14,4 @@ EXPOSE 8000
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')" || exit 1
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CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "8000"]
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')" || exit 1
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CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "8000"]
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openenv.yaml
CHANGED
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@@ -2,9 +2,9 @@ spec_version: 1
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name: data_validation_env
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type: space
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runtime: fastapi
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app: server:app
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port: 8000
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description: "An RL environment for training agents to clean and validate structured data.
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version: "1.0.0"
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author: "kush3"
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tags:
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name: data_validation_env
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type: space
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runtime: fastapi
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app: server.app:app
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port: 8000
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description: "An RL environment for training agents to clean and validate structured data."
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version: "1.0.0"
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author: "kush3"
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tags:
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pyproject.toml
CHANGED
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@@ -15,3 +15,6 @@ dependencies = [
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inference = [
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"openai>=1.0.0",
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]
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inference = [
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"openai>=1.0.0",
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]
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+
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[project.scripts]
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server = "server.app:main"
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server/__init__.py
ADDED
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@@ -0,0 +1 @@
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from server.app import app
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server/app.py
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@@ -0,0 +1,154 @@
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import json
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import traceback
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from typing import Optional
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from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect
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from pydantic import BaseModel
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from env.environment import DataValidationEnvironment
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from env.models import DataCleanAction
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from env.tasks import get_task_names
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app = FastAPI(
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title="Data Validation Pipeline - OpenEnv Environment",
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version="1.0.0",
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)
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env = DataValidationEnvironment()
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class ResetRequest(BaseModel):
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task_name: Optional[str] = None
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seed: int = 42
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class StepRequest(BaseModel):
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action_type: str
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target_field: str = ""
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target_row: int = 0
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new_value: str = ""
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@app.get("/")
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async def root():
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return {
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"name": "Data Validation Pipeline",
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"description": "An RL environment for training agents to clean and validate structured data",
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"version": "1.0.0",
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"endpoints": {
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"health": "/health",
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"reset": "POST /reset",
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"step": "POST /step",
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"state": "GET /state",
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"tasks": "GET /tasks",
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},
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"tasks": get_task_names(),
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"status": "running",
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}
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@app.get("/health")
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async def health():
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return {"status": "healthy", "service": "data-validation-env"}
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@app.post("/reset")
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async def reset(request: ResetRequest = None):
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if request is None:
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request = ResetRequest()
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try:
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obs = env.reset(task_name=request.task_name, seed=request.seed)
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return obs.model_dump()
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except Exception as e:
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raise HTTPException(status_code=400, detail=str(e))
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@app.post("/step")
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async def step(request: StepRequest):
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try:
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action = DataCleanAction(
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action_type=request.action_type,
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target_field=request.target_field,
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target_row=request.target_row,
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new_value=request.new_value,
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)
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obs = env.step(action)
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return obs.model_dump()
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except Exception as e:
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raise HTTPException(status_code=400, detail=str(e))
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@app.get("/state")
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async def state():
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try:
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s = env.state()
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return s.model_dump()
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except Exception as e:
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raise HTTPException(status_code=400, detail=str(e))
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@app.get("/tasks")
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async def tasks():
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return {"tasks": get_task_names()}
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@app.websocket("/ws")
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async def websocket_endpoint(websocket: WebSocket):
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await websocket.accept()
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ws_env = DataValidationEnvironment()
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try:
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while True:
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data = await websocket.receive_text()
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msg = json.loads(data)
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method = msg.get("method", "")
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params = msg.get("params", {})
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try:
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if method == "reset":
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obs = ws_env.reset(
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task_name=params.get("task_name"),
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seed=params.get("seed", 42)
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)
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response = {
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"type": "reset",
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"observation": obs.model_dump(),
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"reward": 0.0,
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"done": False,
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}
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elif method == "step":
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action = DataCleanAction(**params)
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obs = ws_env.step(action)
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response = {
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"type": "step",
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"observation": obs.model_dump(),
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"reward": obs.reward,
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"done": obs.done,
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}
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elif method == "state":
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s = ws_env.state()
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response = {
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"type": "state",
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"state": s.model_dump(),
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}
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else:
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response = {"error": f"Unknown method: {method}"}
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await websocket.send_text(json.dumps(response))
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except Exception as e:
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await websocket.send_text(json.dumps({
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"error": str(e),
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"traceback": traceback.format_exc()
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}))
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except WebSocketDisconnect:
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pass
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def main():
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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if __name__ == "__main__":
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main()
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uv.lock
ADDED
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