145 lines
5.6 KiB
Python
145 lines
5.6 KiB
Python
from typing import Any
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from fastapi import Request
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import Session
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from common.vo import CrudResponseModel, PageModel
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from module_admin.dao.job_log_dao import JobLogDao
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from module_admin.entity.vo.job_vo import DeleteJobLogModel, JobLogModel, JobLogPageQueryModel
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from module_admin.service.dict_service import DictDataService
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from utils.excel_util import ExcelUtil
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class JobLogService:
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"""
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定时任务日志管理模块服务层
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"""
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@classmethod
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async def get_job_log_list_services(
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cls, query_db: AsyncSession, query_object: JobLogPageQueryModel, is_page: bool = False
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) -> PageModel | list[dict[str, Any]]:
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"""
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获取定时任务日志列表信息service
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:param query_db: orm对象
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:param query_object: 查询参数对象
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:param is_page: 是否开启分页
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:return: 定时任务日志列表信息对象
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"""
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job_log_list_result = await JobLogDao.get_job_log_list(query_db, query_object, is_page)
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return job_log_list_result
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@classmethod
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def add_job_log_services(cls, query_db: Session, page_object: JobLogModel) -> CrudResponseModel:
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"""
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新增定时任务日志信息service
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:param query_db: orm对象
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:param page_object: 新增定时任务日志对象
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:return: 新增定时任务日志校验结果
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"""
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try:
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JobLogDao.add_job_log_dao(query_db, page_object)
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query_db.commit()
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result = {'is_success': True, 'message': '新增成功'}
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except Exception as e:
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query_db.rollback()
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result = {'is_success': False, 'message': str(e)}
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return CrudResponseModel(**result)
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@classmethod
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async def delete_job_log_services(cls, query_db: AsyncSession, page_object: DeleteJobLogModel) -> CrudResponseModel:
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"""
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删除定时任务日志信息service
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:param query_db: orm对象
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:param page_object: 删除定时任务日志对象
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:return: 删除定时任务日志校验结果
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"""
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if page_object.job_log_ids:
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job_log_id_list = page_object.job_log_ids.split(',')
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try:
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for job_log_id in job_log_id_list:
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await JobLogDao.delete_job_log_dao(query_db, JobLogModel(jobLogId=job_log_id))
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await query_db.commit()
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result = {'is_success': True, 'message': '删除成功'}
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except Exception as e:
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await query_db.rollback()
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raise e
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else:
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result = {'is_success': False, 'message': '传入定时任务日志id为空'}
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return CrudResponseModel(**result)
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@classmethod
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async def clear_job_log_services(cls, query_db: AsyncSession) -> CrudResponseModel:
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"""
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清除定时任务日志信息service
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:param query_db: orm对象
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:return: 清除定时任务日志校验结果
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"""
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try:
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await JobLogDao.clear_job_log_dao(query_db)
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await query_db.commit()
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result = {'is_success': True, 'message': '清除成功'}
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except Exception as e:
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await query_db.rollback()
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raise e
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return CrudResponseModel(**result)
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@staticmethod
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async def export_job_log_list_services(request: Request, job_log_list: list) -> bytes:
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"""
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导出定时任务日志信息service
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:param request: Request对象
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:param job_log_list: 定时任务日志信息列表
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:return: 定时任务日志信息对应excel的二进制数据
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"""
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# 创建一个映射字典，将英文键映射到中文键
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mapping_dict = {
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'jobLogId': '任务日志编码',
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'jobName': '任务名称',
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'jobGroup': '任务组名',
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'jobExecutor': '任务执行器',
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'invokeTarget': '调用目标字符串',
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'jobArgs': '位置参数',
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'jobKwargs': '关键字参数',
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'jobTrigger': '任务触发器',
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'jobMessage': '日志信息',
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'status': '执行状态',
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'exceptionInfo': '异常信息',
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'createTime': '创建时间',
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}
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job_group_list = await DictDataService.query_dict_data_list_from_cache_services(
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request.app.state.redis, dict_type='sys_job_group'
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)
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job_group_option = [{'label': item.get('dictLabel'), 'value': item.get('dictValue')} for item in job_group_list]
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job_group_option_dict = {item.get('value'): item for item in job_group_option}
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job_executor_list = await DictDataService.query_dict_data_list_from_cache_services(
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request.app.state.redis, dict_type='sys_job_executor'
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)
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job_executor_option = [
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{'label': item.get('dictLabel'), 'value': item.get('dictValue')} for item in job_executor_list
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]
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job_executor_option_dict = {item.get('value'): item for item in job_executor_option}
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for item in job_log_list:
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if item.get('status') == '0':
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item['status'] = '正常'
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else:
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item['status'] = '暂停'
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if str(item.get('jobGroup')) in job_group_option_dict:
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item['jobGroup'] = job_group_option_dict.get(str(item.get('jobGroup'))).get('label')
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if str(item.get('jobExecutor')) in job_executor_option_dict:
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item['jobExecutor'] = job_executor_option_dict.get(str(item.get('jobExecutor'))).get('label')
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binary_data = ExcelUtil.export_list2excel(job_log_list, mapping_dict)
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return binary_data
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