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- 新增 platform_notification_channels 表管理通知渠道（钉钉/企微机器人）
- 新增通知渠道管理页面，支持创建、编辑、测试、删除
- 定时任务增加通知渠道选择和企微应用选择
- 脚本执行支持返回值（result变量），自动发送到配置的渠道
- 调度器执行脚本后根据配置自动发送通知
使用方式：
1. 在「通知渠道」页面为租户配置钉钉/企微机器人
2. 创建定时任务时选择通知渠道
3. 脚本中设置 result = {'content': '内容', 'title': '标题'}
4. 任务执行后自动发送到配置的渠道
260 lines
8.6 KiB
Python
260 lines
8.6 KiB
Python
"""脚本执行器 - 安全执行Python脚本"""
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import sys
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import traceback
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from io import StringIO
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from typing import Any, Dict, Optional, Tuple
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from datetime import datetime
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from sqlalchemy.orm import Session
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from .script_sdk import ScriptSDK
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# 禁止导入的模块
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FORBIDDEN_MODULES = {
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'os', 'subprocess', 'shutil', 'pathlib',
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'socket', 'ftplib', 'telnetlib', 'smtplib',
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'pickle', 'shelve', 'marshal',
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'ctypes', 'multiprocessing',
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'__builtins__', 'builtins',
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'importlib', 'imp',
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'code', 'codeop', 'compile',
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}
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# 允许的内置函数
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ALLOWED_BUILTINS = {
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'abs', 'all', 'any', 'ascii', 'bin', 'bool', 'bytearray', 'bytes',
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'callable', 'chr', 'complex', 'dict', 'dir', 'divmod', 'enumerate',
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'filter', 'float', 'format', 'frozenset', 'getattr', 'hasattr', 'hash',
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'hex', 'id', 'int', 'isinstance', 'issubclass', 'iter', 'len', 'list',
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'map', 'max', 'min', 'next', 'object', 'oct', 'ord', 'pow', 'print',
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'range', 'repr', 'reversed', 'round', 'set', 'setattr', 'slice',
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'sorted', 'str', 'sum', 'tuple', 'type', 'vars', 'zip',
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'True', 'False', 'None',
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'Exception', 'BaseException', 'ValueError', 'TypeError', 'KeyError',
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'IndexError', 'AttributeError', 'RuntimeError', 'StopIteration',
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}
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class ScriptExecutor:
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"""脚本执行器"""
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def __init__(self, db: Session):
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self.db = db
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def execute(
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self,
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script_content: str,
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task_id: int,
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tenant_id: Optional[str] = None,
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trace_id: Optional[str] = None,
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params: Optional[Dict[str, Any]] = None,
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timeout: int = 300
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) -> Tuple[bool, str, str, Optional[Dict]]:
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"""执行脚本
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Args:
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script_content: Python脚本内容
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task_id: 任务ID
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tenant_id: 租户ID
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trace_id: 追踪ID
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params: 输入参数
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timeout: 超时秒数
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Returns:
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(success, output, error, result)
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result: 脚本返回值 {'content': '...', 'title': '...'}
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"""
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# 创建SDK实例
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sdk = ScriptSDK(
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db=self.db,
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task_id=task_id,
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tenant_id=tenant_id,
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trace_id=trace_id,
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params=params or {}
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)
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# 检查脚本安全性
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check_result = self._check_script_safety(script_content)
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if check_result:
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return False, '', f"脚本安全检查失败: {check_result}", None
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# 准备执行环境
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safe_globals = self._create_safe_globals(sdk)
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# 捕获输出
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old_stdout = sys.stdout
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old_stderr = sys.stderr
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stdout_capture = StringIO()
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stderr_capture = StringIO()
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try:
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sys.stdout = stdout_capture
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sys.stderr = stderr_capture
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# 编译并执行脚本
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compiled = compile(script_content, '<script>', 'exec')
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exec(compiled, safe_globals)
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# 获取输出
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stdout_output = stdout_capture.getvalue()
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sdk_output = sdk.get_output()
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# 合并输出
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output = '\n'.join(filter(None, [sdk_output, stdout_output]))
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# 获取脚本返回值（通过 __result__ 变量）
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result = safe_globals.get('__result__')
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if result is None and 'result' in safe_globals:
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result = safe_globals.get('result')
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# 如果返回的是字符串，包装成字典
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if isinstance(result, str):
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result = {'content': result}
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elif result is not None and not isinstance(result, dict):
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result = {'content': str(result)}
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return True, output, '', result
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except Exception as e:
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error_msg = f"{type(e).__name__}: {str(e)}\n{traceback.format_exc()}"
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return False, sdk.get_output(), error_msg, None
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finally:
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sys.stdout = old_stdout
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sys.stderr = old_stderr
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def _check_script_safety(self, script_content: str) -> Optional[str]:
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"""检查脚本安全性
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Returns:
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错误消息，如果安全则返回None
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"""
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# 检查危险导入
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import_patterns = [
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'import os', 'from os',
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'import subprocess', 'from subprocess',
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'import shutil', 'from shutil',
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'import socket', 'from socket',
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'__import__',
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'eval(', 'exec(',
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'compile(',
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'open(', # 禁止文件操作
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]
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script_lower = script_content.lower()
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for pattern in import_patterns:
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if pattern.lower() in script_lower:
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return f"禁止使用: {pattern}"
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return None
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def _create_safe_globals(self, sdk: ScriptSDK) -> Dict[str, Any]:
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"""创建安全的执行环境"""
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import json
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import re
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import math
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import random
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import hashlib
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import base64
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from datetime import datetime, date, timedelta
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from urllib.parse import urlencode, quote, unquote
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# 安全的内置函数
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safe_builtins = {name: getattr(__builtins__, name, None)
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for name in ALLOWED_BUILTINS
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if hasattr(__builtins__, name) or name in dir(__builtins__)}
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# 如果 __builtins__ 是字典
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if isinstance(__builtins__, dict):
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safe_builtins = {name: __builtins__.get(name)
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for name in ALLOWED_BUILTINS
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if name in __builtins__}
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# 添加常用异常
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safe_builtins['Exception'] = Exception
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safe_builtins['ValueError'] = ValueError
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safe_builtins['TypeError'] = TypeError
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safe_builtins['KeyError'] = KeyError
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safe_builtins['IndexError'] = IndexError
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return {
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'__builtins__': safe_builtins,
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'__name__': '__main__',
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# SDK函数（全局可用）
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'log': sdk.log,
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'print': sdk.print,
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'ai': sdk.ai,
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'dingtalk': sdk.dingtalk,
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'wecom': sdk.wecom,
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'http_get': sdk.http_get,
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'http_post': sdk.http_post,
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'db_query': sdk.db_query,
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'get_var': sdk.get_var,
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'set_var': sdk.set_var,
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'del_var': sdk.del_var,
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'get_param': sdk.get_param,
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'get_params': sdk.get_params,
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'get_tenants': sdk.get_tenants,
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'get_tenant_config': sdk.get_tenant_config,
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'get_all_tenant_configs': sdk.get_all_tenant_configs,
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'get_secret': sdk.get_secret,
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# 当前上下文
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'task_id': sdk.task_id,
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'tenant_id': sdk.tenant_id,
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'trace_id': sdk.trace_id,
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# 安全的标准库
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'json': json,
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're': re,
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'math': math,
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'random': random,
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'hashlib': hashlib,
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'base64': base64,
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'datetime': datetime,
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'date': date,
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'timedelta': timedelta,
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'urlencode': urlencode,
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'quote': quote,
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'unquote': unquote,
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}
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def test_script(
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self,
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script_content: str,
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task_id: int = 0,
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tenant_id: Optional[str] = None,
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params: Optional[Dict[str, Any]] = None
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) -> Dict[str, Any]:
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"""测试脚本（用于调试）
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Returns:
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{
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"success": bool,
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"output": str,
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"error": str,
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"duration_ms": int,
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"result": dict
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}
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"""
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start_time = datetime.now()
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success, output, error, result = self.execute(
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script_content=script_content,
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task_id=task_id,
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tenant_id=tenant_id,
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trace_id=f"test-{start_time.timestamp()}",
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params=params
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)
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duration_ms = int((datetime.now() - start_time).total_seconds() * 1000)
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return {
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"success": success,
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"output": output,
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"error": error,
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"duration_ms": duration_ms,
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"result": result
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}
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