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import copy |
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import io |
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import multiprocessing |
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from contextlib import redirect_stdout |
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from typing import Any, Optional |
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from lagent.actions.base_action import BaseAction |
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from lagent.schema import ActionReturn, ActionStatusCode |
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from opencompass.datasets.mbpp import TimeOutException, swallow_io, time_limit |
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class GenericRuntime: |
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GLOBAL_DICT = {} |
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LOCAL_DICT = None |
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HEADERS = [] |
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def __init__(self): |
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self._global_vars = copy.copy(self.GLOBAL_DICT) |
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self._local_vars = copy.copy( |
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self.LOCAL_DICT) if self.LOCAL_DICT else None |
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for c in self.HEADERS: |
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self.exec_code(c) |
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def exec_code(self, code_piece: str) -> None: |
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exec(code_piece, self._global_vars) |
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def eval_code(self, expr: str) -> Any: |
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return eval(expr, self._global_vars) |
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DEFAULT_DESCRIPTION = """用来执行Python代码。代码必须是一个函数, |
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函数名必须得是 'solution',代码对应你的思考过程。代码实例格式如下: |
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```python |
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# import 依赖包 |
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import xxx |
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def solution(): |
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# 初始化一些变量 |
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variable_names_with_real_meaning = xxx |
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# 步骤一 |
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mid_variable = func(variable_names_with_real_meaning) |
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# 步骤 x |
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mid_variable = func(mid_variable) |
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# 最后结果 |
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final_answer = func(mid_variable) |
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return final_answer |
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```""" |
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class PythonInterpreter(BaseAction): |
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"""A Python executor that can execute Python scripts. |
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Args: |
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description (str): The description of the action. Defaults to |
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DEFAULT_DESCRIPTION. |
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answer_symbol (str, Optional): the answer symbol from LLM |
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answer_expr (str, Optional): the answer function name of the Python |
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script. Default to 'solution()'. |
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answer_from_stdout (boolean): whether the execution results is from |
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stdout. |
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name (str, optional): The name of the action. If None, the name will |
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be class nameDefaults to None. |
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enable (bool, optional): Whether the action is enabled. Defaults to |
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True. |
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disable_description (str, optional): The description of the action when |
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it is disabled. Defaults to None. |
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timeout (int): Upper bound of waiting time for Python script execution. |
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""" |
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def __init__(self, |
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description: str = DEFAULT_DESCRIPTION, |
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answer_symbol: Optional[str] = None, |
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answer_expr: Optional[str] = 'solution()', |
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answer_from_stdout: bool = False, |
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name: Optional[str] = None, |
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enable: bool = True, |
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disable_description: Optional[str] = None, |
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timeout: int = 20) -> None: |
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super().__init__(description, name, enable, disable_description) |
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self.answer_symbol = answer_symbol |
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self.answer_expr = answer_expr |
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self.answer_from_stdout = answer_from_stdout |
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self.timeout = timeout |
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@staticmethod |
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def extract_code(command: str) -> str: |
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if '```python' in command: |
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command = command.split('```python')[1].split('```')[0] |
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elif '```' in command: |
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command = command.split('```')[1].split('```')[0] |
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command = command.split('\n') |
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return command |
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def __call__(self, command: str) -> ActionReturn: |
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"""Execution function for running generation code. |
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Args: |
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command(str): Python code to be executed. |
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""" |
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extracted_command = self.extract_code(command) |
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tool_return = ActionReturn(url=None, |
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args=dict(text=command, |
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extract_code=extracted_command), |
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type=self.name) |
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def _execution(q, command, tool_return): |
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try: |
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with swallow_io(): |
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with time_limit(self.timeout - 1): |
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res = self._call(command) |
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tool_return.result = dict(text=str(res)) |
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tool_return.state = ActionStatusCode.SUCCESS |
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except TimeOutException: |
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tool_return.errmsg = f'Time out after {self.timeout} seconds.' |
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tool_return.state = ActionStatusCode.API_ERROR |
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except BaseException as e: |
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tool_return.errmsg = f'Failed. {e}.' |
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tool_return.state = ActionStatusCode.API_ERROR |
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q.put(tool_return) |
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q = multiprocessing.Queue() |
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p = multiprocessing.Process(target=_execution, |
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args=(q, extracted_command, tool_return)) |
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p.start() |
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p.join(timeout=self.timeout) |
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if p.is_alive(): |
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p.kill() |
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tool_return.errmsg = f'Time out after {self.timeout} seconds.' |
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tool_return.state = ActionStatusCode.API_ERROR |
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return tool_return |
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return q.get() |
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def _call(self, command: str) -> ActionReturn: |
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self.runtime = GenericRuntime() |
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if self.answer_from_stdout: |
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program_io = io.StringIO() |
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with redirect_stdout(program_io): |
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self.runtime.exec_code('\n'.join(command)) |
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program_io.seek(0) |
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res = program_io.readlines()[-1] |
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elif self.answer_symbol: |
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self.runtime.exec_code('\n'.join(command)) |
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res = self.runtime._global_vars[self.answer_symbol] |
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elif self.answer_expr: |
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self.runtime.exec_code('\n'.join(command)) |
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res = self.runtime.eval_code(self.answer_expr) |
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else: |
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self.runtime.exec_code('\n'.join(command[:-1])) |
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res = True |
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return res |
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