60 lines
2.3 KiB
Python
60 lines
2.3 KiB
Python
import os
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from config import Config
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import pandas as pd
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from back_ground_module import CommonModule
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from api import API
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from log_config import configure_task_logger, configure_error_task_logger
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from datetime import datetime, timedelta
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logger = configure_task_logger()
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error_task_logger = configure_error_task_logger()
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output_dir = "output" # 设置输出目录
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os.makedirs(output_dir, exist_ok=True)
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common_module = CommonModule()
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api_instance = API()
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class DailyDispatchStatsByRegionAndAgent :
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"""
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区域&客服人员每日派发数量统计
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"""
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def __init__(self):
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self.table_ids_list = [("675b900991ad2491c69389ca", "675b9c63925cd404038a6b86"), # 日常回访表
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("675b900991ad2491c69389ca", "67f8b1d3307bad317abc3a9a"), # 问题跟进表
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("6717470a0b3975ef583c6df1", "67174710da507490d8ac12c1"), # 接车宝
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]
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def get_data(self,date_back=1):
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select_date = (datetime.now() - timedelta(days=date_back)).strftime("%Y-%m-%d")
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data_ids = []
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for table_id, form_id in self.table_ids_list:
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# 获取表单数据
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data = {"api_key": table_id, "entry_id": form_id, "filter": {"rel": "and", "cond": [
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{"field": "createTime", "type": "datetime", "method": "eq", "value": [select_date]}]}}
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res_data = api_instance.entry_data_list(data)
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data_ids.append([i["_id"] for i in res_data["data"]])
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return data_ids
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def get_workflow_data(self,data_ids):
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for data_id in data_ids:
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workflow_data = api_instance.workflow_instance_get(data_id)
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def main(self):
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task_start_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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try:
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# step1:获取昨日新建数据
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data_ids = self.get_data(date_back=1)
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# step2:获取昨日流程数据节点
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except Exception as e:
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error_task_logger.error("区域&客服人员每日派发数量统计失败")
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common_module.send_task_error(task_start_time, "区域&客服人员每日派发数量统计", str(e))
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if __name__ == '__main__':
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daily_dispatch_stats_by_region_and_agent = DailyDispatchStatsByRegionAndAgent()
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daily_dispatch_stats_by_region_and_agent.main() |