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# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
DebugZero Environment Implementation for adversarial bug-fixing self-play.
"""
from __future__ import annotations
from uuid import uuid4
from openenv.core.env_server.interfaces import Environment
try:
from ..models import DebugzeroAction, DebugzeroObservation, DebugzeroState
from .tasks import SEED_BANK, SeedSpec
except ImportError:
from models import DebugzeroAction, DebugzeroObservation, DebugzeroState
from server.tasks import SEED_BANK, SeedSpec
try:
from .bug_injector import infer_bug_operator
from .graders import (
compute_ast_distance,
compute_proposer_reward,
compute_solver_reward,
is_effectively_unchanged,
)
from .executor import execute_code
except ImportError:
from bug_injector import infer_bug_operator
from graders import (
compute_ast_distance,
compute_proposer_reward,
compute_solver_reward,
is_effectively_unchanged,
)
from executor import execute_code
class DebugzeroEnvironment(Environment):
"""
Dual-role DebugZero Environment wrapping a Python sandbox execution
for Proposer bug injection and Solver bug fixing.
"""
SUPPORTS_CONCURRENT_SESSIONS: bool = True
def __init__(self):
self._reset_count = 0
self._current_seed = SEED_BANK[0]
self._current_bug_operator: str | None = None
self._current_score = 0.0
self._proposer_created_bug = False
self._state = self._build_state(self._current_seed)
def reset(self) -> DebugzeroObservation:
seed = SEED_BANK[self._reset_count % len(SEED_BANK)]
self._reset_count += 1
self._current_seed = seed
self._current_bug_operator = None
self._current_score = 0.0
self._proposer_created_bug = False
self._state = self._build_state(seed)
return self._build_observation(
role_next="proposer",
execution_result="",
tests_passed=True,
syntax_error=False,
done=False,
reward=0.0,
score=0.0,
)
def step(self, action: DebugzeroAction) -> DebugzeroObservation: # type: ignore[override]
self._state.step_count += 1
tests = self._current_seed.test
if action.role == "proposer":
self._state.current_code = action.code
result = execute_code(self._state.current_code, tests)
self._state.role_turn = "solver"
reward, score = self._proposer_step_feedback(action.code, result)
return self._build_observation(
role_next="solver",
execution_result=self._truncate_execution_output(result.output),
tests_passed=result.passed,
syntax_error=result.syntax_error,
done=False,
reward=reward,
score=score,
)
if action.role == "solver":
self._state.current_code = action.code
result = execute_code(self._state.current_code, tests)
self._state.role_turn = "end"
reward, score = self._solver_step_feedback(result)
return self._build_observation(
role_next="proposer",
execution_result=self._truncate_execution_output(result.output),
tests_passed=result.passed,
syntax_error=result.syntax_error,
done=True,
reward=reward,
score=score,
)
self._current_score = 0.0
self._proposer_created_bug = False
return self._build_observation(
role_next="end",
execution_result="",
tests_passed=False,
syntax_error=False,
done=True,
reward=0.0,
score=0.0,
)
@property
def state(self) -> DebugzeroState:
return self._state
def _build_state(self, seed: SeedSpec) -> DebugzeroState:
return DebugzeroState(
episode_id=str(uuid4()),
step_count=0,
seed_id=seed.seed_id,
original_code=seed.original_code,
current_code=seed.original_code,
role_turn="proposer",
)
def _build_observation(
self,
*,
role_next: str,
execution_result: str,
tests_passed: bool,
syntax_error: bool,
done: bool,
reward: float,
score: float,
) -> DebugzeroObservation:
self._current_score = score
return DebugzeroObservation(
role_next=role_next,
current_code=self._state.current_code,
execution_result=execution_result,
tests_passed=tests_passed,
syntax_error=syntax_error,
score=score,
done=done,
reward=reward,
metadata=self._observation_metadata(),
)
def _proposer_step_feedback(self, candidate_code: str, result: object) -> tuple[float, float]:
original_code = self._state.original_code
execution_output = getattr(result, "output", "") or ""
syntax_error = bool(getattr(result, "syntax_error", False))
tests_passed = bool(getattr(result, "passed", False))
unsafe_code = execution_output.startswith("Unsafe import detected.")
unchanged_code = is_effectively_unchanged(original_code, candidate_code)
changed_but_passing = (not unchanged_code) and tests_passed and (not syntax_error)
plausibility_score = 0.0 if syntax_error else compute_ast_distance(original_code, candidate_code)
reward = compute_proposer_reward(
{
"seed_id": self._state.seed_id,
"tests_passed": tests_passed,
"syntax_error": syntax_error,
"unsafe_code": unsafe_code,
"unchanged_code": unchanged_code,
"changed_but_passing": changed_but_passing,
"plausibility_score": plausibility_score,
}
)
valid_bug = (not tests_passed) and (not syntax_error) and (not unsafe_code)
self._proposer_created_bug = valid_bug
self._current_bug_operator = infer_bug_operator(original_code, candidate_code) if valid_bug else None
score = 0.5 if valid_bug else 0.0
return reward, score
def _solver_step_feedback(self, result: object) -> tuple[float, float]:
execution_output = getattr(result, "output", "") or ""
syntax_error = bool(getattr(result, "syntax_error", False))
tests_passed = bool(getattr(result, "passed", False))
unsafe_code = execution_output.startswith("Unsafe import detected.")
reward = compute_solver_reward(
{
"seed_id": self._state.seed_id,
"tests_passed": tests_passed,
"syntax_error": syntax_error,
"unsafe_code": unsafe_code,
}
)
solved = tests_passed and (not syntax_error) and (not unsafe_code)
score = 1.0 if solved else (0.5 if self._proposer_created_bug else 0.0)
return reward, score
def _truncate_execution_output(self, output: str) -> str:
return output[:500] if output else ""
def _observation_metadata(self) -> dict[str, str]:
metadata = {
"seed_id": self._state.seed_id,
"original_code": self._state.original_code,
}
if self._current_bug_operator:
metadata["bug_operator"] = self._current_bug_operator
return metadata
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