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2e11c6a fdc5ba1 100d601 8f66ad1 fdc5ba1 2e11c6a 5813a84 fdc5ba1 2e11c6a fdc5ba1 5813a84 fdc5ba1 5813a84 fdc5ba1 f341e79 5813a84 f341e79 5813a84 fdc5ba1 9882200 2e11c6a | 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 | """Client for TraceFix-RL."""
from typing import Dict
from openenv.core import EnvClient
from openenv.core.client_types import StepResult
from openenv.core.env_server.types import State
try:
from .models import CodeAction, CodeObservation, TestResult
except ImportError:
from core.models import CodeAction, CodeObservation, TestResult
class TraceFixRLEnv(
EnvClient[CodeAction, CodeObservation, State]
):
"""Typed OpenEnv client."""
def _step_payload(self, action: CodeAction) -> Dict:
return action.model_dump(exclude_none=True)
def _parse_result(self, payload: Dict) -> StepResult[CodeObservation]:
obs_data = payload.get("observation", {})
raw_code_dict = obs_data.get("code_dict", {})
code_dict = {
int(k): v for k, v in raw_code_dict.items()
} if isinstance(raw_code_dict, dict) else {}
observation = CodeObservation(
code_dict=code_dict,
localized_context=obs_data.get("localized_context", ""),
last_execution_output=obs_data.get("last_execution_output", ""),
syntax_error=obs_data.get("syntax_error", False),
test_results=[
TestResult(**item) for item in obs_data.get("test_results", [])
],
step_count=obs_data.get("step_count", 0),
steps_remaining=obs_data.get("steps_remaining", 0),
reward_last_step=obs_data.get("reward_last_step", 0.0),
info=obs_data.get("info", {}),
done=payload.get("done", False),
reward=payload.get("reward"),
metadata=obs_data.get("metadata", {}),
)
return StepResult(
observation=observation,
reward=payload.get("reward"),
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),
)
MyEnv = TraceFixRLEnv
|