187 lines
6.9 KiB
Python
187 lines
6.9 KiB
Python
# -*- coding: utf-8 -*-
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import psycopg2
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import pandas as pd
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# 获得连接
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conn = psycopg2.connect(database="f6_bi", user="BASIC$ro_caowei", password="!ro_caowei123", host="hgprecn-cn-nif1vnv0y002-cn-shanghai.hologres.aliyuncs.com", port="80")
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# 获得游标对象，一个游标对象可以对数据库进行执行操作
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cursor = conn.cursor()
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import datetime
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now_time = datetime.datetime.now()
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yes_time = now_time + datetime.timedelta(days=-1)
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yes_time_nyr = int(yes_time.strftime('%Y%m%d'))# 获取前一天日期
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# sql语句 建表
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sql =f"""SELECT * FROM "public"."holo_ads_report_saas_profile_ngv_detail_d" WHERE "date_id" = '{yes_time_nyr}';"""
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# 执行语句
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cursor.execute(sql)
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# 获取结果集的每一行
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rows = cursor.fetchall()
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# 获取所有字段名
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all_fields = cursor.description
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#执行结果转化为dataframe
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col = []
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for i in all_fields:
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col.append(i[0])
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data_NGV = pd.DataFrame(list(rows),columns=col)
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# data_NGV.to_excel(r'C:\Users\admin\Desktop\NGV明细.xlsx')
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# 关闭数据库连接
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cursor.close()
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conn.close()
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# 基础函数配置
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import pandas as pd
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import requests
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from pathlib import Path
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from urllib.parse import quote
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import json
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import numpy as np
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import time
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ROOT = Path('.').absolute() # 当前工作目录
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def generateToken() -> str:
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""" 生成 token """
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token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'
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# 该信息在钉钉开放应用中
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data = {
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"appKey": "ding5kqocon5s9oph5uq",
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"appSecret": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'
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}
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res = requests.post(token_api, json=data)
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token = res.json()['accessToken']
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return token
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def read_instances_new(token, formUuid, page, n):
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""" 函数功能：读取流程表单的所有数据 """
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api = f'https://api.dingtalk.com//v1.0/yida/processes/instances?pageNumber={page}&pageSize={n}'
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headers = {
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"Content-Type": "application/json",
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"x-acs-dingtalk-access-token": token
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}
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formData = {
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"appType": "APP_UYZ0KG6L0CCNV80GZ66O",
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"systemToken": "XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2",
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"userId": "yida_pub_account", # 超级管理员账号
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"language": "zh_CN",
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"formUuid": formUuid,
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# "searchFieldJson": json.dumps(searchField), # 如果增加上这一项会要求升级宜搭存储
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"instanceStatus": "RUNNING"
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}
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res = requests.post(api, headers=headers, json=formData)
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return res.json()
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def read_instances(token, formUuid, page, n):
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""" 函数功能：读取普通表单的所有数据 """
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api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'
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headers = {
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"Content-Type": "application/json",
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"x-acs-dingtalk-access-token": token
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}
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formData = {
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"appType" : "APP_UYZ0KG6L0CCNV80GZ66O",
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"systemToken" : "XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2",
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"userId" : "yida_pub_account",
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"language" : "zh_CN",
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"formUuid" : formUuid,
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"currentPage" : page,
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"pageSize" : n
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}
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res = requests.post(api, headers=headers, json=formData)
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return res.json()
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def update_instances(TOKEN, processInstanceId,code,name):
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""" 更新表单实例 """
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api = f'https://api.dingtalk.com//v1.0/yida/forms/instances'
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headers = {
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"Content-Type": "application/json",
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"x-acs-dingtalk-access-token": TOKEN
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}
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data_new= {
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code : name
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}
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payload = {
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"appType" : "APP_UYZ0KG6L0CCNV80GZ66O",
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"systemToken" : "XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2",
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"userId" : "yida_pub_account",
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"language" : "zh_CN",
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"formInstanceId" : processInstanceId,
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"useLatestVersion" : 'false',
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"updateFormDataJson" : json.dumps(data_new, cls=NpEncoder) #json.dumps(data_new, cls=NpEncoder)
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}
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res = requests.put(api, headers=headers,json =payload)
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return res.json()
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class NpEncoder(json.JSONEncoder):
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def default(self, obj):
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if isinstance(obj, np.integer):
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return int(obj)
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elif isinstance(obj, np.floating):
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return float(obj)
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elif isinstance(obj, np.ndarray):
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return obj.tolist()
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else:
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return super(NpEncoder, self).default(obj)
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TOKEN = generateToken()
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# 读取续约服务流程
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FORMID = "FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22" # 续约服务流程
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# 读取流程表单数据
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form_data = read_instances_new(token=TOKEN, formUuid=FORMID, page=1, n=100)
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PAGES = form_data.get('totalCount')//100 + 1
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ALL_DATA_node = []
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""" 获取全量数据 """
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for i in range(1, PAGES+1):
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# form_data = read_processes_instances(token=TOKEN, formUuid=FORMID, createFromTimeGMT=CREATE_FROM, createToTimeGMT=CREATE_TO, page=i, n=100, searchField={'textField_l7if5ff9': '否'})
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form_data = read_instances_new(token=TOKEN, formUuid=FORMID, page=i, n=100)
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for data in form_data.get('data'):
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ALL_DATA_node.append(data)
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print(f'读取到 续约服务流程表单中 {len(ALL_DATA_node)} 条数据！')
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# 校验状态
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for i in range(0,len(ALL_DATA_node)):
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for a in range(len(data_NGV["org_code"])):
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if ALL_DATA_node[i]['data']['textField_ksydghqw'] == data_NGV.loc[a,"org_code"]:
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if data_NGV.loc[a,"active_status_fmt"] == "活跃":
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if ALL_DATA_node[i]['data']['textField_ksydghr5']=="否":
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update_instances(TOKEN,ALL_DATA_node[i]['processInstanceId'],'textField_ksydghr5',"是")
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print(i,ALL_DATA_node[i]['data']['textField_ksydghr5'])
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elif data_NGV.loc[a,"active_status_fmt"] == "不活跃":
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if ALL_DATA_node[i]['data']['textField_ksydghr5']=="是":
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update_instances(TOKEN,ALL_DATA_node[i]['processInstanceId'],'textField_ksydghr5',"否")
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print(i,ALL_DATA_node[i]['data']['textField_ksydghr5'])
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for i in range(0,len(ALL_DATA_node)):
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for a in range(len(data_NGV["org_code"])):
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if ALL_DATA_node[i]['data']['textField_ksydghqw'] == data_NGV.loc[a,"org_code"]:
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if data_NGV.loc[a,"is_g"] == "1":
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if ALL_DATA_node[i]['data']['textField_ksydghr8']=="否":
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update_instances(TOKEN,ALL_DATA_node[i]['processInstanceId'],'textField_ksydghr8',"是")
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print(i,ALL_DATA_node[i]['data']['textField_ksydghr5'])
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elif data_NGV.loc[a,"is_g"] == "0":
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if ALL_DATA_node[i]['data']['textField_ksydghr8']=="是":
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update_instances(TOKEN,ALL_DATA_node[i]['processInstanceId'],'textField_ksydghr8',"否")
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print(i,ALL_DATA_node[i]['data']['textField_ksydghr5'])
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for i in range(0,len(ALL_DATA_node)):
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for a in range(len(data_NGV["org_code"])):
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if ALL_DATA_node[i]['data']['textField_ksydghqw'] == data_NGV.loc[a,"org_code"]:
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if ALL_DATA_node[i]['data']['textField_ksydghr7'] != data_NGV.loc[a,"bill_day_count_last_30_day"]:
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update_instances(TOKEN,ALL_DATA_node[i]['processInstanceId'],'textField_ksydghr7',data_NGV.loc[a,"bill_day_count_last_30_day"])
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