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2ce1061 | 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 53 54 55 56 57 58 59 60 61 62 63 | # client.py
# Python client for connecting to the Code Debug Environment.
# Use this in training loops / evaluation scripts.
#
# Usage (sync):
# with CodeDebugEnv(base_url="https://your-space.hf.space").sync() as env:
# result = env.reset(difficulty="easy")
# result = env.step(DebugAction(fixed_code="..."))
#
# Usage (async):
# async with CodeDebugEnv(base_url="https://your-space.hf.space") as env:
# result = await env.reset(difficulty="medium")
# result = await env.step(DebugAction(fixed_code="..."))
from openenv.core.env_client import EnvClient
from openenv.core.client_types import StepResult
from models import DebugAction, DebugObservation, DebugState
class CodeDebugEnv(EnvClient[DebugAction, DebugObservation, DebugState]):
"""
Client for the Code Debug Environment.
Wraps OpenEnv EnvClient with typed action/observation models.
"""
def _step_payload(self, action: DebugAction) -> dict:
payload = {"fixed_code": action.fixed_code}
if action.explanation:
payload["explanation"] = action.explanation
return payload
def _parse_result(self, payload: dict) -> StepResult[DebugObservation]:
obs_data = payload.get("observation", {})
obs = DebugObservation(
task_id=obs_data.get("task_id", ""),
difficulty=obs_data.get("difficulty", "easy"),
buggy_code=obs_data.get("buggy_code", ""),
instructions=obs_data.get("instructions", ""),
test_cases_description=obs_data.get("test_cases_description", ""),
reward=obs_data.get("reward"),
passed_tests=obs_data.get("passed_tests"),
total_tests=obs_data.get("total_tests"),
feedback=obs_data.get("feedback"),
done=payload.get("done", False),
)
return StepResult(
observation=obs,
reward=payload.get("reward", 0.0),
done=payload.get("done", False),
)
def _parse_state(self, payload: dict) -> DebugState:
return DebugState(
episode_id=payload.get("episode_id", ""),
step_count=payload.get("step_count", 0),
task_id=payload.get("task_id", ""),
difficulty=payload.get("difficulty", "easy"),
max_steps=payload.get("max_steps", 3),
current_reward=payload.get("current_reward", 0.0),
best_reward=payload.get("best_reward", 0.0),
done=payload.get("done", False),
)
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