import asyncio import json import pandas as pd from tornado.httpclient import HTTPResponse, HTTPRequest from sqlalchemy import select from dock.govc import govc_api import models from models.govc_task_detail import GovcTaskDetail from models.govc_task_attachment import GovcTaskAttachment from paste.util import udict from paste.core.logging import echo_log async def get_detail_request(cguid: str): """ 获取市12345的工单的详情信息,请求响应是单条工单的数据 :param cguid: 工单列表请求返回的cguid """ api_url = '/rest/sztaskworkordercommonrest/getDetail' headers = { 'Referer': f'{govc_api.ApiUrl}/rest/sztaskworkordercommonrest/getDetail' } request_body = { 'caseguid': cguid, 'secret': 1 } # 构造 API 请求 return await govc_api.new_api_request(api_url, request_body, headers=headers, method='GET') async def after_detail_request(response: HTTPResponse, retry_queue: asyncio.Queue[HTTPRequest]): """ 任务请求响应后的处理程序。 :param response: 响应对象 :param retry_queue: 重试队列 """ response_body = response.body.decode() response_data = json.loads(response_body) detail_info = udict.get_by_path(response_data, 'params') if detail_info: mapped_df = pd.DataFrame([detail_info]) # 更换映射方向,用于将源数据列名改为与数据库表对应 forward_mapping = {dict_f: table_f for table_f, dict_f in GovcTaskDetail.FieldMapping.items()} mapped_df = mapped_df.rename(columns=forward_mapping) # 这里把空数据都换成 None,以便存入数据库时是 null mapped_df.replace(models.EmptyInDF + models.EmptyDatetimeInDF, None, inplace=True) task_id = getattr(response.request, GovcTaskDetail.task_id.key) mapped_df[GovcTaskDetail.task_id.key] = task_id # 筛选数据状态 _created, _updated = await GovcTaskDetail.save_batch(mapped_df) echo_log(f"成功创建详情信息:{_created}条,更新:{_updated}条.") files = udict.get_by_path(detail_info, 'files') if files: attachment_df = pd.DataFrame(files) attachment_df[GovcTaskAttachment.task_id.key] = task_id detail_query = select(GovcTaskDetail.id).where(GovcTaskDetail.task_id == task_id) detail_id = await GovcTaskDetail.query_first(detail_query) attachment_df[GovcTaskAttachment.detail_id.key] = detail_id _created, _updated = await GovcTaskAttachment.save_batch(attachment_df) echo_log(f"成功创建附件信息:{_created}条,更新:{_updated}条.") else: echo_log('未获取到详情信息') if retry_queue: echo_log(f"详情信息重试队列中有:{retry_queue.qsize()} 个请求在等待.")