zwf
64 lines
2.6 KiB
Python
64 lines
2.6 KiB
Python
import asyncio
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import json
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import pandas as pd
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from tornado.httpclient import HTTPResponse, HTTPRequest
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from dock.govc import govc_api
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import models
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from models.govc_task_supervision import GovcTaskSupervision
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from paste.util import udict
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from paste.core.logging import echo_log
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async def get_supervision_request(pviguid: str, cguid: str, supervisetype: str):
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"""
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获取市12345的工单的监察信息，请求响应是单条工单的数据
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:param pviguid: 工单列表请求返回的pviguid
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:param cguid: 工单列表请求返回的cguid
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:param supervisetype: 监察类型 zx:座席区 bm:部门监察 bmhj:部门核减监察
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"""
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api_url = f'/rest/sztaskworkordercommonrest/getSupervision?supervisetype={supervisetype}'
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headers = {
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'Referer': f'{govc_api.ApiUrl}/rest/sztaskworkordercommonrest/getSupervision'
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}
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request_body = {
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"ProcessVersionInstanceGuid": pviguid,
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'caseguid': cguid,
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'yearflag': 'undefined'
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}
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# 构造 API 请求
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return await govc_api.new_api_request(api_url, request_body, headers=headers)
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async def after_return_visit_request(response: HTTPResponse, retry_queue: asyncio.Queue[HTTPRequest]):
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"""
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任务请求响应后的处理程序。
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:param response: 响应对象
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:param retry_queue: 重试队列
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"""
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response_body = response.body.decode()
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response_data = json.loads(response_body)
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zx_list = udict.get_by_path(response_data, 'params.zxlist')
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if zx_list:
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mapped_df = pd.DataFrame(zx_list)
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# 更换映射方向，用于将源数据列名改为与数据库表对应
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forward_mapping = {dict_f: table_f for table_f, dict_f in GovcTaskSupervision.FieldMapping.items()}
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mapped_df = mapped_df.rename(columns=forward_mapping)
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supervise_type = getattr(response.request, 'supervise_type', None)
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mapped_df[GovcTaskSupervision.supervise_type.key] = supervise_type
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# 这里把空数据都换成 None，以便存入数据库时是 null
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mapped_df.replace(models.EmptyInDF + models.EmptyDatetimeInDF, None, inplace=True)
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mapped_df.fillna('', inplace=True)
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task_id = getattr(response.request, GovcTaskSupervision.task_id.key)
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mapped_df[GovcTaskSupervision.task_id.key] = task_id
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# 筛选数据状态
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_created, _updated = await GovcTaskSupervision.save_batch(mapped_df)
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echo_log(f"成功创建监察信息：{_created}条，更新：{_updated}条.")
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else:
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echo_log('未获取到监察信息')
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if retry_queue:
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echo_log(f"监察信息重试队列中有：{retry_queue.qsize()} 个请求在等待.")
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