722 lines
29 KiB
Python
722 lines
29 KiB
Python
import os
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from datetime import datetime, timedelta, timezone
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import pandas as pd
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from tqdm import tqdm
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from datetime import datetime, timezone
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import pandas as pd
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import os
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from typing import Dict
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import requests
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import json
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import time
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import numpy as np # 导入numpy库用于处理numpy数组
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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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class Config:
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JIANDAOYUN_API_TOKEN = 'Bearer qygHulymo1fekJk4CIZyNKjyQAzG8CFN' # token
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class API:
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def entry_data_list(self, data: dict, replace: bool = False, max_retries: int = 20) -> Dict: # 获取多条表单数据
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"""
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获取多条表单数据
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:param max_retries: 最大重试次数
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:param replace: 是否替换字段
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:param data:
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api_key: 应用id
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entry_id: 表单id
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:return:
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"""
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url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/list'
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headers = {
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'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 app_key
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'Content-Type': 'application/json'
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}
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all_data_batches = [] # 用于存储每次请求返回的数据批次
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last_data_id = None
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exit_flag = False
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while True:
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payload = json.dumps({
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"app_id": data['api_key'], # 应用ID
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"entry_id": data['entry_id'], # 表单ID
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"limit": 90,
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"data_id": last_data_id,
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"filter": data.get('filter', None)
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})
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retries = 0
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while retries <= max_retries:
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try:
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res = requests.post(url=url, data=payload, headers=headers, timeout=10)
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res.raise_for_status() # 检查HTTP响应状态码，如果不等于200会抛出异常
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data_get = res.json()
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if data_get["data"]:
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all_data_batches.extend(data_get['data'])
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last_data_id = data_get['data'][-1].get('_id')
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print(f"已获取 {len(all_data_batches)} 条数据")
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break # 成功则跳出循环
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else:
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if 'data' not in data_get or len(data_get['data']) == 0:
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exit_flag = True
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break
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# logger.warning(f"请求异常, 将重新请求")
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retries += 1
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time.sleep(0.1) # 在重试之间稍作停顿
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except requests.exceptions.RequestException as e:
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# logger.warning(f"请求异常: {e}, 将重新请求")
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retries += 1
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time.sleep(0.1) # 在重试之间稍作停顿
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if retries > max_retries:
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# error_task_logger.error(f"任务 {last_data_id}组 连续{max_retries}次请求失败，放弃此次请求。")
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all_data_batches.append(None) # 或者可以选择记录失败的payload以便后续处理
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if exit_flag:
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break
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# 构建最终返回的字典
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final_data = {
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'data': all_data_batches # 'data' 键对应的值是列表的列表
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}
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# logger.info(f"获取了{len(all_data_batches)}条数据")
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if replace:
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print("进行了替换")
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return_data = self.field_replacement(data, final_data) # 字段替换，由id替换为标签名
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return return_data
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else:
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return final_data
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def field_replacement(self, data: dict, data_get: dict) -> dict:
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"""
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字段替换，将id替换为标签名，即唯一值替换为表单中显示字段的名字
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:param data: 简道云插件发送过来的data，包含表单id、数据id、应用id
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:param data_get: 简道云请求的数据，一般是根据数据id获取到表单的数据
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:return: 将根据数据id获取到的表单数据，进行替换，返回替换后的数据
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"""
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# 获取表单对应字段标签名称
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widget_list = self.entry_widget_list(data)
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# 检查widget_list是否有效
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if not widget_list or 'widgets' not in widget_list or not isinstance(widget_list['widgets'], list):
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raise ValueError("映射表没有接受到数据")
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# 创建一个映射表，将_widget_名称映射到label
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name_to_label = {widget['name']: widget['label'] for widget in widget_list['widgets']}
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def replace_keys(obj):
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"""递归替换字典中的键名"""
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if isinstance(obj, dict):
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new_dict = {}
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for key, value in obj.items():
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new_key = name_to_label.get(key, key)
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new_dict[new_key] = replace_keys(value)
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return new_dict
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elif isinstance(obj, list):
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return [replace_keys(item) for item in obj]
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else:
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return obj
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# 复制 data_get，避免修改原始数据
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data_get_copy = json.loads(json.dumps(data_get)) # 深拷贝
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if 'data' in data_get_copy:
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data_get_copy['data'] = replace_keys(data_get_copy['data'])
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return data_get_copy
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@staticmethod
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def workflow_instance_get(data: dict, max_retries: int = 20) -> dict:
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"""
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查询实例流程信息
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:param max_retries:
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:param data: 简道云插件发送过来的data，包含应用id
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:return: 查询简道云流程实例信息返回的结果
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"""
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url = 'https://api.jiandaoyun.com/api/v6/workflow/instance/get'
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headers = {
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'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
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'Content-Type': 'application/json'
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}
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payload = json.dumps({
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"instance_id": data['data_id'],
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"tasks_type": 1
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}
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)
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print("payload:", payload)
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data_get = None
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retries = 0
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while retries <= max_retries:
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try:
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res = requests.post(url=url, data=payload, headers=headers, timeout=10)
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# res.raise_for_status() # 检查HTTP响应状态码，如果不等于200会抛出异常
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data_get = res.json()
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# print( "返回结果:", data_get)
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if res.status_code == 200:
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break # 成功则跳出循环
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else:
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# logger.warning(f"请求异常, 将重新请求")
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retries += 1
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time.sleep(3) # 在重试之间稍作停顿
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except requests.exceptions.RequestException as e:
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# logger.warning(f"请求异常: {e}, 将重新请求")
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retries += 1
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time.sleep(0.1) # 在重试之间稍作停顿
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if retries > max_retries:
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# error_task_logger.error(f"任务 {data['data_id']} 连续{max_retries}次请求失败，放弃此次请求。")
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print("请求失败")
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return data_get
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@staticmethod
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def entry_data_update(data: dict, max_retries: int = 20) -> dict: # 修改数据
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"""
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修改数据
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:param max_retries: 最大重试次数，此处设置100次
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:param data: 简道云插件发送过来的data，包含应用id、表单id、数据id等信息
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:return: 修改数据后简道云返回的结果
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"""
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url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/update'
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headers = {
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'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
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'Content-Type': 'application/json'
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}
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payload = json.dumps({
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"app_id": data['api_key'], # 应用ID
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"entry_id": data['entry_id'], # 表单ID
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"data_id": data['data_id'], # 数据ID
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"data": data['data']
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}
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)
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data_get = None
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retries = 0
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while retries <= max_retries:
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try:
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res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
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res.raise_for_status() # 检查HTTP响应状态码，如果不等于200会抛出异常
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data_get = res.json()
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# print(data_get)
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if res.status_code == 200:
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break # 成功则跳出循环
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else:
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# logger.warning(f"请求异常, 将重新请求")
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retries += 1
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time.sleep(3) # 在重试之间稍作停顿
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except requests.exceptions.RequestException as e:
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# logger.warning(f"请求异常: {e}, 将重新请求")
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retries += 1
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time.sleep(10) # 在重试之间稍作停顿
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if retries > max_retries:
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# error_task_logger.error(f"任务 {data['data_id']} 连续{max_retries}次请求失败，放弃此次请求。")
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continue
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return data_get
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@staticmethod
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def workflow_instance_end(data: dict, max_retries: int = 20) -> dict:
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"""
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关闭流程
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:param max_retries:
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:param data: 简道云插件发送过来的data，包含应用id
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:return: 查询简道云流程实例信息返回的结果
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"""
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url = 'https://api.jiandaoyun.com/api/v1/workflow/instance/close'
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headers = {
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'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
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'Content-Type': 'application/json'
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}
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payload = json.dumps({
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"instance_id": data['data_id'],
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}
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)
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print("payload:", payload)
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data_get = None
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retries = 0
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while retries <= max_retries:
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try:
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res = requests.post(url=url, data=payload, headers=headers, timeout=10)
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# res.raise_for_status() # 检查HTTP响应状态码，如果不等于200会抛出异常
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data_get = res.json()
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print("返回结果:", data_get)
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if res.status_code == 200:
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break # 成功则跳出循环
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else:
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retries += 1
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time.sleep(3) # 在重试之间稍作停顿
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except requests.exceptions.RequestException as e:
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retries += 1
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time.sleep(0.1) # 在重试之间稍作停顿
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return data_get
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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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class YDAPI:
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appKey = "ding5kqocon5s9oph5uq"
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appSecret = "HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_"
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@staticmethod
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def get_ids_query(token, formUuid, appType, systemToken, formInstanceIdList=None, max_retries=10, delay=2):
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"""
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函数功能：读取表单的所有数据，并加入重试机制。
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Args:
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token (str): 登录验证token，用于API调用的身份验证。
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formUuid (str): 表单唯一标识符，用于指定需要读取哪个表单的实例数据。
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page (int): 分页参数，指定请求的数据页码。
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n (int): 每页显示的数据条数。
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appType (str): 应用类型标识符，默认为 "APP_UYZ0KG6L0CCNV80GZ66O"
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systemToken (str): 系统token，默认为固定值
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instanceStatus (str): 流程实例状态，默认为"RUNNING"
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max_retries (int): 最大重试次数，默认为10次
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delay (int): 每次重试之间的延迟秒数，默认为2秒
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Returns:
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dict: 返回从API获取的流程表单实例数据的JSON解析结果。
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Raises:
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Exception: 如果达到最大重试次数仍未成功，则抛出异常。
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"""
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attempt = 0
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api = f'https://api.dingtalk.com/v1.0/yida/forms/instances/ids/query'
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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": appType,
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"systemToken": systemToken,
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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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"formInstanceIdList": formInstanceIdList,
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}
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# print(formData)
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while True:
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if attempt >= max_retries:
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break
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try:
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res = requests.post(api, headers=headers, json=formData)
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# print(res.json())
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res.raise_for_status() # 如果返回状态码不是2xx，抛出异常
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return res.json()
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except requests.exceptions.RequestException as e:
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time.sleep(delay)
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attempt += 1
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def generateToken(self) -> str:
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"""
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函数功能：生成访问令牌（token）
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Returns:
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str: 返回生成的访问令牌字符串。此token用于后续API调用的身份验证。
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"""
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token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'
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data = {
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"appKey": f"{self.appKey}",
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"appSecret": f'{self.appSecret}'
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}
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res = requests.post(token_api, json=data)
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token = res.json().get('accessToken')
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return token
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def read_processes_instances(self, token, formUuid, page, n, appType="APP_UYZ0KG6L0CCNV80GZ66O",
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systemToken="XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2", instanceStatus="RUNNING",
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max_retries=10, delay=2, createFromTimeGMT=None, createToTimeGMT=None,
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modifiedFromTimeGMT=None,
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modifiedToTimeGMT=None, searchFieldJson={}):
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"""
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函数功能：读取流程表单的所有数据，并加入重试机制。
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Args:
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token (str): 登录验证token，用于API调用的身份验证。
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formUuid (str): 表单唯一标识符，用于指定需要读取哪个表单的实例数据。
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page (int): 分页参数，指定请求的数据页码。
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n (int): 每页显示的数据条数。
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appType (str): 应用类型标识符，默认为 "APP_UYZ0KG6L0CCNV80GZ66O"
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systemToken (str): 系统token，默认为固定值
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instanceStatus (str): 流程实例状态，默认为"RUNNING"
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max_retries (int): 最大重试次数，默认为10次
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delay (int): 每次重试之间的延迟秒数，默认为2秒
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Returns:
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dict: 返回从API获取的流程表单实例数据的JSON解析结果。
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Raises:
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Exception: 如果达到最大重试次数仍未成功，则抛出异常。
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"""
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attempt = 0
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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": appType,
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"systemToken": systemToken,
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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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"instanceStatus": instanceStatus, # 运行中
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"createFromTimeGMT": createFromTimeGMT,
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"createToTimeGMT": createToTimeGMT,
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"modifiedFromTimeGMT": modifiedFromTimeGMT,
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"modifiedToTimeGMT": modifiedToTimeGMT,
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"searchFieldJson": json.dumps(
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searchFieldJson
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)
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}
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# print(formData)
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while True:
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if attempt >= max_retries:
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# error_task_logger.error(f"请求失败，已达最大重试次数 {max_retries}，无法获取流程实例数据,跳过本次请求。")
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break
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try:
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res = requests.post(api, headers=headers, json=formData)
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# print(res.json())
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res.raise_for_status() # 如果返回状态码不是2xx，抛出异常
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return res.json()
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except requests.exceptions.RequestException as e:
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# logger.warning(f"请求异常: {e}，正在尝试第 {attempt + 1} 次重试...")
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time.sleep(delay)
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attempt += 1
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def update_from(self, token, formInstanceId, data_new):
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"""
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函数功能：更新表单内容
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Args:
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token (str): 登录验证token，用于API调用的身份验证。
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formInstanceId (str): 表单实例ID，读文件获取。
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data_new (dict): 新的数据内容，用于替换现有表单实例中的数据。读文件获取。
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Returns:
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Response: 返回API请求的响应对象。
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"""
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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
|
|
}
|
|
|
|
payload = {
|
|
"appType": "APP_UYZ0KG6L0CCNV80GZ66O",
|
|
"systemToken": "XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2",
|
|
"userId": "yida_pub_account", # 曹伟 id
|
|
"language": "zh_CN",
|
|
"useLatestVersion": "false",
|
|
"formInstanceId": formInstanceId,
|
|
"updateFormDataJson": json.dumps(data_new, cls=NpEncoder),
|
|
|
|
}
|
|
|
|
res = requests.put(api, headers=headers, json=payload)
|
|
return res
|
|
|
|
def get_approval_records(self, token: str, processInstanceId: str, appType="APP_UYZ0KG6L0CCNV80GZ66O",
|
|
systemToken="XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2", max_retries=10, delay=2):
|
|
"""
|
|
函数功能：获取流程表单的审批记录，适用于"F6客户服务"应用，并且包含重试机制。
|
|
|
|
Args:
|
|
token (str): 登录验证token，用于API调用的身份验证。
|
|
processInstanceId (str): 流程实例ID，用于标识需要获取审批记录的具体流程实例。
|
|
appType (str): 应用类型标识符，默认为 "APP_UYZ0KG6L0CCNV80GZ66O"
|
|
systemToken (str): 系统token，默认为固定值
|
|
max_retries (int): 最大重试次数，默认为10次
|
|
delay (int): 每次重试之间的延迟秒数，默认为2秒
|
|
|
|
Returns:
|
|
dict: 返回从API获取的审批记录的JSON解析结果。通常包括审批步骤、审批人、审批时间等信息。
|
|
"""
|
|
attempt = 0
|
|
userId = "yida_pub_account"
|
|
api = f'https://api.dingtalk.com/v1.0/yida/processes/operationRecords?appType={appType}&systemToken={systemToken}&userId={userId}&language=zh_CN&processInstanceId={processInstanceId}'
|
|
headers = {
|
|
"Content-Type": "application/json",
|
|
"x-acs-dingtalk-access-token": token
|
|
}
|
|
|
|
while True:
|
|
if attempt >= max_retries:
|
|
# error_task_logger.error(f"请求失败，已达最大重试次数 {max_retries}，无法获取审批数据,跳过本次请求。")
|
|
break
|
|
|
|
try:
|
|
res = requests.get(api, headers=headers)
|
|
res.raise_for_status() # 如果响应状态码不是2xx，则抛出HTTPError
|
|
return res.json()
|
|
except (requests.exceptions.RequestException, Exception) as e:
|
|
# logger.warning(f"请求出现异常: {e}, 正在重试({attempt + 1}/{max_retries})...")
|
|
time.sleep(delay) # 等待指定的延迟时间后再次尝试
|
|
attempt += 1
|
|
|
|
def aggree_approval(self, token: str, taskId: str, processInstanceId: str, formData: dict, res_new):
|
|
"""_summary_
|
|
|
|
函数功能：同意审批节点 --F6客户服务 应用
|
|
|
|
Args:
|
|
token (str): 登录验证token
|
|
taskId (str): 获取到的审批节点ID
|
|
processInstanceId (str): 读取文件获得的实例ID
|
|
formData (dict): 数据样式
|
|
res_new (响应值): 从员工ID表里获取到员工名对应的员工ID
|
|
|
|
Returns:
|
|
响应值: 返回请求结果
|
|
"""
|
|
api = 'https://api.dingtalk.com/v1.0/yida/tasks/execute'
|
|
headers = {
|
|
"Content-Type": "application/json",
|
|
"x-acs-dingtalk-access-token": token
|
|
}
|
|
payload = {
|
|
"outResult": "AGREE",
|
|
"appType": "APP_UYZ0KG6L0CCNV80GZ66O",
|
|
"systemToken": "XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2",
|
|
"remark": "同意(接口自动)",
|
|
"formDataJson": json.dumps(formData, cls=NpEncoder),
|
|
"processInstanceId": processInstanceId,
|
|
"userId": res_new,
|
|
"language": "zh_CN",
|
|
"taskId": int(taskId)
|
|
}
|
|
|
|
res = requests.post(api, headers=headers, json=payload)
|
|
return res
|
|
|
|
|
|
api_instance = API()
|
|
yd_api_instance = YDAPI()
|
|
|
|
|
|
class YDToJDYRenewalToDo(object):
|
|
def __init__(self):
|
|
self.FORMID = "FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22"
|
|
self.appType = "APP_UYZ0KG6L0CCNV80GZ66O"
|
|
self.systemToken = "XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2"
|
|
self.token = yd_api_instance.generateToken()
|
|
|
|
def load_all_data(self):
|
|
today_midnight = datetime.now() + timedelta(days=1)
|
|
yesterday_midnight = today_midnight - timedelta(days=2)
|
|
start_time = yesterday_midnight.strftime("%Y-%m-%d") # 昨天
|
|
end_time = today_midnight.strftime("%Y-%m-%d") # 今天
|
|
|
|
yd_data = yd_api_instance.read_processes_instances(
|
|
token=self.token,
|
|
formUuid=self.FORMID,
|
|
page=1,
|
|
n=100,
|
|
appType=self.appType,
|
|
systemToken=self.systemToken,
|
|
instanceStatus="",
|
|
modifiedFromTimeGMT=start_time,
|
|
modifiedToTimeGMT=end_time,
|
|
)
|
|
|
|
all_process_list = []
|
|
|
|
PAGES_two = yd_data.get('totalCount') // 100 + 1
|
|
|
|
for a in tqdm(range(1, PAGES_two + 1)):
|
|
try:
|
|
yd_data = yd_api_instance.read_processes_instances(
|
|
token=self.token,
|
|
formUuid=self.FORMID,
|
|
page=a,
|
|
n=100,
|
|
appType=self.appType,
|
|
systemToken=self.systemToken,
|
|
instanceStatus="",
|
|
modifiedFromTimeGMT=start_time,
|
|
modifiedToTimeGMT=end_time,
|
|
)
|
|
all_process_list = all_process_list + yd_data.get("data")
|
|
except Exception as e:
|
|
print(f"获取流程实例数据时出错: {e}")
|
|
continue
|
|
|
|
df_current = pd.DataFrame(all_process_list)
|
|
current_file = f"{output_dir}/{start_time}_{end_time}_all_process_list.csv"
|
|
|
|
# === 新增：读取上次文件并计算差值 ===
|
|
if os.path.exists(current_file):
|
|
try:
|
|
df_last = pd.read_csv(current_file)
|
|
except Exception as e:
|
|
print(f"读取历史文件失败: {e}")
|
|
df_last = pd.DataFrame()
|
|
else:
|
|
df_last = pd.DataFrame()
|
|
|
|
# 假设唯一标识字段为 'instanceId'，请根据实际字段名调整
|
|
id_col = 'processInstanceId'
|
|
if not df_last.empty and not df_current.empty and id_col in df_current.columns and id_col in df_last.columns:
|
|
# 转为字符串确保可比
|
|
last_ids = set(df_last[id_col].astype(str))
|
|
current_ids = set(df_current[id_col].astype(str))
|
|
new_ids = current_ids - last_ids
|
|
diff_records = df_current[df_current[id_col].astype(str).isin(new_ids)].to_dict('records')
|
|
else:
|
|
# 没有历史文件 或 无唯一ID → 返回空 list（按你要求）
|
|
diff_records = []
|
|
|
|
# 保存当前全量数据（覆盖）
|
|
df_current.to_csv(current_file, index=False)
|
|
|
|
return diff_records
|
|
|
|
def filter_renewal_data(self, all_process_list):
|
|
update_data_list = []
|
|
for item in all_process_list:
|
|
if item.get("data").get("textField_kto3q3ev"):
|
|
org_id = item.get("data").get("textField_ksydghqw")
|
|
order_code = item.get("data").get("textField_kto3q3ev") # 订单编码
|
|
pay_time = item.get("data").get("dateField_kto3q3ex") # 订单支付日期
|
|
|
|
res = yd_api_instance.get_ids_query(
|
|
token=self.token,
|
|
formInstanceIdList=[item.get("processInstanceId")],
|
|
formUuid="FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22",
|
|
appType="APP_UYZ0KG6L0CCNV80GZ66O",
|
|
systemToken="XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2",
|
|
)
|
|
|
|
payment_amount = None
|
|
bussiness_type = None
|
|
# print(res)
|
|
if res.get("result"):
|
|
form_data = res["result"][0]["formData"]
|
|
payment_amount = form_data.get("textField_kyjy1kkm") # "9987"
|
|
bussiness_type = form_data.get("textField_kyjy1kkn") # "续约"
|
|
# payment_amount = res.get("data").get("textField_kyjy1kkm") # 支付金额
|
|
# bussiness_type = res.get("data").get("textField_kyjy1kkn") # 业务类型
|
|
|
|
if pay_time:
|
|
# 确保是整数
|
|
timestamp_ms = int(pay_time)
|
|
# 转为 UTC datetime 对象
|
|
pay_datetime_utc = datetime.fromtimestamp(timestamp_ms / 1000, tz=timezone.utc)
|
|
print(pay_datetime_utc) # 例如: 2024-04-05 12:34:38.901000+00:00
|
|
else:
|
|
pay_datetime_utc = None
|
|
|
|
update_data_list.append({
|
|
"order_code": order_code,
|
|
"pay_time": pay_time,
|
|
"payment_amount": payment_amount,
|
|
"bussiness_type": bussiness_type,
|
|
"org_id": org_id
|
|
})
|
|
return update_data_list
|
|
|
|
def check_jd_ydy_data(self, update_data_list):
|
|
for item in update_data_list:
|
|
# 简道云搜索门店编码
|
|
payload = {
|
|
"api_key": "675b900991ad2491c69389ca",
|
|
"entry_id": "6931063d64187eaf6b927557",
|
|
"filter": {
|
|
"rel": "and",
|
|
"cond": [{
|
|
"field": "_widget_1764820541661",
|
|
"type": "text",
|
|
"method": "eq",
|
|
"value": [item.get("org_id")]
|
|
}, {"field": "flowState",
|
|
"type": "flowstate",
|
|
"method": "eq",
|
|
"value": [0]}]
|
|
}
|
|
}
|
|
# print(payload)
|
|
data_list = api_instance.entry_data_list(payload).get("data", [])
|
|
result = data_list[0] if data_list else None
|
|
data_id = result.get("_id") if result else None
|
|
|
|
if not data_id:
|
|
# print(f"未找到订单 {item.get('order_code')} 的简道云数据，跳过。")
|
|
continue
|
|
|
|
# 查询实例状态
|
|
instance_status = api_instance.workflow_instance_get({"data_id": data_id})
|
|
task_status = instance_status.get("status", -1)
|
|
print(f"订单 {item.get('order_code')} 的简道云流程状态为 {task_status}")
|
|
|
|
if task_status == 0:
|
|
print("简道云流程正在进行中，执行流程关闭")
|
|
api_instance.workflow_instance_end({"data_id": data_id})
|
|
|
|
# 同步宜搭四个字段
|
|
print("开始同步数据")
|
|
update_payload = {
|
|
"api_key": "675b900991ad2491c69389ca",
|
|
"entry_id": "6931063d64187eaf6b927557",
|
|
"data_id": data_id,
|
|
"data": {
|
|
"_widget_1764820541674": {"value": item.get("order_code")}, # 订单编码
|
|
"_widget_1764820541679": {"value": item.get("pay_time")}, # 订单支付日期
|
|
"_widget_1764820541676": {"value": item.get("payment_amount")}, # 支付金额
|
|
"_widget_1764820541680": {"value": item.get("bussiness_type")}, # 业务类型
|
|
}
|
|
}
|
|
print(update_payload)
|
|
api_instance.entry_data_update(update_payload)
|
|
print("数据同步完成")
|
|
|
|
def main(self):
|
|
task_start_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
try:
|
|
# step1 获取简道云与宜搭数据
|
|
jd_ydy_data = self.load_all_data()
|
|
if jd_ydy_data:
|
|
# step2 过滤已经续约的单子
|
|
update_data_list = self.filter_renewal_data(jd_ydy_data)
|
|
# step3 校验简道云是否有进行中的单子并关闭
|
|
self.check_jd_ydy_data(update_data_list)
|
|
else:
|
|
print("本次执行无处理数据")
|
|
except Exception as e:
|
|
print(e)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
jd_ydy_renewal_to_do = YDToJDYRenewalToDo()
|
|
jd_ydy_renewal_to_do.main()
|