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"""
Core environment logic for Code Debugging Challenge.
"""
import uuid
import random
import sys
from io import StringIO
from typing import Optional
from openenv.core.env_server import Environment
from ..models import DebugAction, DebugObservation, DebugState
# Bug database with various Python bugs
BUG_DATABASE = [
{
"buggy_code": "def add_numbers(a, b):\n return a + b\n\nresult = add_numbers(5)\nprint(result)",
"fixed_code": "def add_numbers(a, b):\n return a + b\n\nresult = add_numbers(5, 3)\nprint(result)",
"expected_output": "8",
"test_inputs": [],
"hint": "Function is called with wrong number of arguments",
"bug_type": "argument_count"
},
{
"buggy_code": "numbers = [1, 2, 3, 4, 5]\ntotal = 0\nfor i in range(len(numbers)):\n total += i\nprint(total)",
"fixed_code": "numbers = [1, 2, 3, 4, 5]\ntotal = 0\nfor i in range(len(numbers)):\n total += numbers[i]\nprint(total)",
"expected_output": "15",
"test_inputs": [],
"hint": "Loop variable is not being used correctly",
"bug_type": "logic_error"
},
{
"buggy_code": "def divide(a, b):\n return a / b\n\nprint(divide(10, 0))",
"fixed_code": "def divide(a, b):\n if b == 0:\n return 'Error: Division by zero'\n return a / b\n\nprint(divide(10, 0))",
"expected_output": "Error: Division by zero",
"test_inputs": [],
"hint": "Need to handle edge case when dividing by zero",
"bug_type": "exception_handling"
},
{
"buggy_code": "text = 'Hello World'\nprint(text[100])",
"fixed_code": "text = 'Hello World'\nif len(text) > 100:\n print(text[100])\nelse:\n print('Index out of range')",
"expected_output": "Index out of range",
"test_inputs": [],
"hint": "Index is out of bounds for the string",
"bug_type": "index_error"
},
{
"buggy_code": "def factorial(n):\n if n == 0:\n return 1\n return n * factorial(n)\n\nprint(factorial(5))",
"fixed_code": "def factorial(n):\n if n == 0:\n return 1\n return n * factorial(n - 1)\n\nprint(factorial(5))",
"expected_output": "120",
"test_inputs": [],
"hint": "Recursive call is not reducing the problem size",
"bug_type": "infinite_recursion"
},
{
"buggy_code": "name = 'Alice'\nage = 25\nprint('My name is ' + name + ' and I am ' + age + ' years old')",
"fixed_code": "name = 'Alice'\nage = 25\nprint('My name is ' + name + ' and I am ' + str(age) + ' years old')",
"expected_output": "My name is Alice and I am 25 years old",
"test_inputs": [],
"hint": "Cannot concatenate string and integer directly",
"bug_type": "type_error"
},
{
"buggy_code": "my_dict = {'a': 1, 'b': 2}\nprint(my_dict['c'])",
"fixed_code": "my_dict = {'a': 1, 'b': 2}\nprint(my_dict.get('c', 'Key not found'))",
"expected_output": "Key not found",
"test_inputs": [],
"hint": "Key does not exist in dictionary",
"bug_type": "key_error"
},
]
class DebugEnvironment(Environment):
"""Code Debugging Challenge Environment."""
supports_concurrent_sessions = True
def __init__(self):
super().__init__()
self._state = DebugState(
episode_id=str(uuid.uuid4()),
total_problems=len(BUG_DATABASE)
)
self.current_problem = None
def reset(self) -> DebugObservation:
"""Reset environment and return initial observation."""
self._state = DebugState(
episode_id=str(uuid.uuid4()),
total_problems=len(BUG_DATABASE)
)
self.current_problem = random.choice(BUG_DATABASE)
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
attempts_remaining=self._state.max_attempts,
success=False
)
def step(self, action: DebugAction) -> DebugObservation:
"""Execute one step in the environment."""
self._state.attempts_made += 1
if action.action_type == "analyze":
return self._handle_analyze()
elif action.action_type == "fix":
return self._handle_fix(action.content)
elif action.action_type == "test":
return self._handle_test()
elif action.action_type == "submit":
return self._handle_submit()
else:
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
error_message="Invalid action type",
attempts_remaining=self._state.max_attempts - self._state.attempts_made,
success=False
)
def _handle_analyze(self) -> DebugObservation:
"""Handle analyze action."""
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
attempts_remaining=self._state.max_attempts - self._state.attempts_made,
success=False
)
def _handle_fix(self, code_fix: Optional[str]) -> DebugObservation:
"""Handle fix action."""
if code_fix is None:
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
error_message="No fix provided",
attempts_remaining=self._state.max_attempts - self._state.attempts_made,
success=False
)
output, error = self._execute_code(code_fix)
if error:
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
current_output=output,
error_message=error,
attempts_remaining=self._state.max_attempts - self._state.attempts_made,
hint=self.current_problem["hint"] if self._state.attempts_made >= 2 else None,
success=False
)
if output.strip() == self.current_problem["expected_output"].strip():
self._state.solved = True
self._state.score += 1.0
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
current_output=output,
attempts_remaining=self._state.max_attempts - self._state.attempts_made,
success=True
)
else:
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
current_output=output,
error_message=f"Output mismatch. Got: {output.strip()}, Expected: {self.current_problem['expected_output'].strip()}",
attempts_remaining=self._state.max_attempts - self._state.attempts_made,
hint=self.current_problem["hint"] if self._state.attempts_made >= 2 else None,
success=False
)
def _handle_test(self) -> DebugObservation:
"""Handle test action - run the buggy code to see the error."""
output, error = self._execute_code(self.current_problem["buggy_code"])
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
current_output=output,
error_message=error,
attempts_remaining=self._state.max_attempts - self._state.attempts_made,
success=False
)
def _handle_submit(self) -> DebugObservation:
"""Handle early submission without fixing."""
return DebugObservation(
buggy_code=self.current_problem["buggy_code"],
expected_output=self.current_problem["expected_output"],
test_inputs=self.current_problem.get("test_inputs", []),
attempts_remaining=0,
success=False
)
def _execute_code(self, code: str) -> tuple[str, Optional[str]]:
"""Safely execute code and capture output/errors."""
old_stdout = sys.stdout
sys.stdout = StringIO()
try:
exec(code, {})
output = sys.stdout.getvalue()
error = None
except Exception as e:
output = sys.stdout.getvalue()
error = f"{type(e).__name__}: {str(e)}"
finally:
sys.stdout = old_stdout
return output, error
@property
def state(self) -> DebugState:
"""Return current environment state."""
return self._state
def reward(self, observation: DebugObservation) -> float:
"""Compute reward based on observation."""
if observation.success:
return 1.0
if observation.error_message and "Error:" not in observation.error_message:
return -0.3
if observation.current_output and not observation.success:
return -0.2
if observation.current_output is None and observation.error_message is None:
return 0.1
if observation.attempts_remaining == 0 and not observation.success:
return -1.0
if observation.error_message == "No fix provided":
return -0.5
return 0.0
def terminated(self, observation: DebugObservation) -> bool:
"""Episode terminates on success or max attempts."""
return observation.success or self._state.attempts_made >= self._state.max_attempts
def truncated(self, observation: DebugObservation) -> bool:
"""Episode is truncated if max attempts reached without success."""
return (self._state.attempts_made >= self._state.max_attempts
and not observation.success)
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