CI_CD_Doctor / client.py
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"""CI/CD Doctor Environment Client."""
from typing import Dict
from pydantic import BaseModel
from openenv.core import EnvClient
from openenv.core.client_types import StepResult
from openenv.core.env_server.types import State
class CiCdDoctorAction(BaseModel):
command: str
class CiCdDoctorObservation(BaseModel):
stdout: str = ""
exit_code: int = 0
pipeline_status: str = "not_run"
steps_remaining: int = 15
done: bool = False
reward: float = 0.0
class CiCdDoctorEnv(EnvClient[CiCdDoctorAction, CiCdDoctorObservation, State]):
"""
Client for the CI/CD Doctor environment.
Maintains a persistent WebSocket connection to the environment server.
Example:
>>> with CiCdDoctorEnv(base_url="http://localhost:8000") as client:
... result = client.reset()
... print(result.observation.stdout)
...
... result = client.step(CiCdDoctorAction(command="cat requirements.txt"))
... print(result.observation.stdout)
Example with Docker:
>>> client = CiCdDoctorEnv.from_docker_image("cicd-doctor-env:latest")
>>> try:
... result = client.reset()
... result = client.step(CiCdDoctorAction(command="pipeline run"))
... finally:
... client.close()
"""
def _step_payload(self, action: CiCdDoctorAction) -> Dict:
return {"command": action.command}
def _parse_result(self, payload: Dict) -> StepResult[CiCdDoctorObservation]:
obs_data = payload.get("observation", {})
observation = CiCdDoctorObservation(
stdout=obs_data.get("stdout", ""),
exit_code=obs_data.get("exit_code", 0),
pipeline_status=obs_data.get("pipeline_status", "not_run"),
steps_remaining=obs_data.get("steps_remaining", 15),
done=payload.get("done", False),
reward=payload.get("reward", 0.0),
)
return StepResult(
observation=observation,
reward=payload.get("reward", 0.0),
done=payload.get("done", False),
)
def _parse_state(self, payload: Dict) -> State:
return State(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
)