Spaces:
Sleeping
Sleeping
File size: 1,969 Bytes
bcd8636 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | """WebSocket client for the DataDetective environment."""
from typing import Dict
from openenv.core.env_client import EnvClient
from openenv.core.client_types import StepResult
from .models import DataDetectiveAction, DataDetectiveObservation, DataDetectiveState
class DataDetectiveEnv(
EnvClient[DataDetectiveAction, DataDetectiveObservation, DataDetectiveState]
):
"""
Async/sync client for DataDetective.
Example (sync):
>>> with DataDetectiveEnv(base_url="http://localhost:7860").sync() as env:
... result = env.reset(task_id="orders_drop")
... result = env.step(DataDetectiveAction(action_type="query", content="SELECT COUNT(*) FROM orders"))
"""
def _step_payload(self, action: DataDetectiveAction) -> Dict:
return {"action_type": action.action_type, "content": action.content}
def _parse_result(self, payload: Dict) -> StepResult[DataDetectiveObservation]:
obs = payload.get("observation", {})
observation = DataDetectiveObservation(
output=obs.get("output", ""),
task_description=obs.get("task_description", ""),
schema_info=obs.get("schema_info", ""),
step_number=obs.get("step_number", 0),
max_steps=obs.get("max_steps", 30),
message=obs.get("message", ""),
done=payload.get("done", False),
reward=payload.get("reward"),
)
return StepResult(
observation=observation,
reward=payload.get("reward"),
done=payload.get("done", False),
)
def _parse_state(self, payload: Dict) -> DataDetectiveState:
return DataDetectiveState(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
task_id=payload.get("task_id", ""),
queries_executed=payload.get("queries_executed", 0),
max_steps=payload.get("max_steps", 30),
)
|