Files
saas/api.py
T

694 lines
28 KiB
Python

"""
API 模块
"""
import requests
from typing import Optional, List, Dict, Any
from config import Config
from decimal import Decimal
import time
import numpy as np
from log_config import configure_task_logger, configure_error_task_logger
import json
# 获取已经配置好的常规日志记录器
logger = configure_task_logger()
# 获取已经配置好的错误任务日志记录器
error_task_logger = configure_error_task_logger()
class NpEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, np.integer):
return int(obj)
elif isinstance(obj, np.floating):
return float(obj)
elif isinstance(obj, np.ndarray):
return obj.tolist()
else:
return super(NpEncoder, self).default(obj)
def replace_decimals(obj):
if isinstance(obj, dict):
return {k: replace_decimals(v) for k, v in obj.items()}
elif isinstance(obj, list):
return [replace_decimals(item) for item in obj]
elif isinstance(obj, Decimal):
return float(obj) # 或者 str(obj)
return obj
class API:
def entry_data_get(self, data: dict, replace: bool = False) -> Dict: # 获取单条表单数据
"""
获取单条表单数据
:param replace: 是否替换字段,默认为关
: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
:return:
"""
url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/get'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 app_key
'Content-Type': 'application/json'
}
payload = json.dumps({
"app_id": data['api_key'], # 应用ID
"entry_id": data['entry_id'], # 表单ID
"data_id": data['data_id'] # 数据ID
})
res = requests.post(url=url, data=payload, headers=headers, timeout=10)
data_get = res.json()
if replace:
data_get = self.field_replacement(data, data_get) # 字段替换,由id替换为标签名
return data_get
def entry_data_list(self, data: dict, replace: bool = False, max_retries: int = 20) -> Dict: # 获取多条表单数据
"""
获取多条表单数据
:param max_retries: 最大重试次数
:param replace: 是否替换字段
:param data:
api_key: 应用id
entry_id: 表单id
:return:
"""
url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/list'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 app_key
'Content-Type': 'application/json'
}
all_data_batches = [] # 用于存储每次请求返回的数据批次
last_data_id = None
exit_flag = False
while True:
payload = json.dumps({
"app_id": data['api_key'], # 应用ID
"entry_id": data['entry_id'], # 表单ID
"limit": 100,
"data_id": last_data_id
})
retries = 0
while retries <= max_retries:
try:
res = requests.post(url=url, data=payload, headers=headers, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
data_get = res.json()
if data_get["data"]:
all_data_batches.extend(data_get['data'])
last_data_id = data_get['data'][-1].get('_id')
logger.info(f"已获取 {len(all_data_batches)} 条数据")
break # 成功则跳出循环
else:
if 'data' not in data_get or len(data_get['data']) == 0:
exit_flag = True
break
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(0.1) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(0.1) # 在重试之间稍作停顿
if retries > max_retries:
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。")
all_data_batches.append(None) # 或者可以选择记录失败的payload以便后续处理
if exit_flag:
break
# 构建最终返回的字典
final_data = {
'data': all_data_batches # 'data' 键对应的值是列表的列表
}
if replace:
print("进行了替换")
return_data = self.field_replacement(data, final_data) # 字段替换,由id替换为标签名
return return_data
else:
return final_data
@staticmethod
def entry_widget_list(data: dict) -> Optional[Dict[str, Any]]: # 获取表单字段
"""
获取表单字段
: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
:return:
"""
url = 'https://api.jiandaoyun.com/api/v5/app/entry/widget/list'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 app_key
'Content-Type': 'application/json'
}
payload = json.dumps({
"app_id": data['api_key'],
"entry_id": data['entry_id'],
})
res = requests.post(url=url, data=payload, headers=headers, timeout=10)
return res.json()
def field_replacement(self, data: dict, data_get: dict) -> dict:
"""
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
:param data: 简道云插件发送过来的data,包含表单id、数据id、应用id
: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
: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
"""
# 获取表单对应字段标签名称
widget_list = self.entry_widget_list(data)
# 检查widget_list是否有效
if not widget_list or 'widgets' not in widget_list or not isinstance(widget_list['widgets'], list):
raise ValueError("映射表没有接受到数据")
# 创建一个映射表,将_widget_名称映射到label
name_to_label = {widget['name']: widget['label'] for widget in widget_list['widgets']}
def replace_keys(obj):
"""递归替换字典中的键名"""
if isinstance(obj, dict):
new_dict = {}
for key, value in obj.items():
new_key = name_to_label.get(key, key)
new_dict[new_key] = replace_keys(value)
return new_dict
elif isinstance(obj, list):
return [replace_keys(item) for item in obj]
else:
return obj
# 复制 data_get,避免修改原始数据
data_get_copy = json.loads(json.dumps(data_get)) # 深拷贝
# 替换 data 字段下的所有键
if 'data' in data_get_copy:
data_get_copy['data'] = replace_keys(data_get_copy['data'])
return data_get_copy
@staticmethod
def data_batch_create(data: dict, max_retries: int = 20) -> Optional[requests.Response]: # 新建单条数据
"""
新建单条表单数据
:param max_retries: 最大重试次数
:param data: 应该包含应用id、表单id,以及新建的数据data['data']
:return: 返回创建后简道云返回的信息
"""
url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/create'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 app_key
'Content-Type': 'application/json'
}
"""
data 样式 # 后续优化发送数据样式 目前输入字段,后续优化输入表单名称
jiandaoyun_data['data'] = {"_widget_1731650067055":{"value":f'{username}{password}'},
"_widget_1731650067056":{"value": f"{group}"}}
"""
# noinspection DuplicatedCode
payload = json.dumps({
"app_id": data['api_key'], # 应用ID
"entry_id": data['entry_id'], # 表单ID
"data": data['data'],
"is_start_workflow": data.get('is_start_workflow', "false"),
"is_start_trigger": data.get('is_start_trigger', "false"),
"transaction_id": data.get('transaction_id', "")
}
)
retries = 0
while retries <= max_retries:
try:
res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
data_get = res.json()
if res.status_code == 200:
return data_get
else:
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
if retries > max_retries:
error_task_logger.error(
f"任务 {data['data_list']} 连续{max_retries}次请求失败,放弃此次请求。")
return None
@staticmethod
def entry_data_batch_create(
data: dict,
chunk_size: int = 90,
max_retries: int = 20
) -> List[Optional[requests.Response]]: # 新建多条数据 注意简道云限制1次最多100条数据
"""
新建多条数据
:param max_retries: 最大重试次数,此处设置20次
:param data:应包含数据id、表单id、以及需要新建的信息,新建信息应该是一个列表
:param chunk_size: 简道云限制批量新建一次最多100条,这里默认值设置为90条一次
:return:返回请求后的结果
"""
data = replace_decimals(data)
url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
'Content-Type': 'application/json'
}
"""
data_list 样式 # 后续优化发送数据样式 目前输入字段,后续优化输入表单名称
jiandaoyun_data_list['data_list'] = [{"_widget_1731650067055":{"value":f'{username}{password}'},
"_widget_1731650067056":{"value": f"{group}"}},
{"_widget_1731650067055":{"value":f'{username}{password}'},
"_widget_1731650067056":{"value": f"{group}"}}]
"""
# 获取data_list长度
total_length = len(data['data_list'])
logger.info(f"多数据写入行数: {total_length}")
# 计算需要发送的次数
num_chunks = (total_length + chunk_size - 1) // chunk_size # //整除向下取证,需要加上chunk_size - 1保证不会有缺失数据
data_get_list = []
for i in range(num_chunks):
start_index = i * chunk_size
end_index = min(start_index + chunk_size, total_length)
payload = json.dumps({
"app_id": data['api_key'], # 应用ID
"entry_id": data['entry_id'], # 表单ID
"data_list": data['data_list'][start_index:end_index],
"is_start_workflow": data.get('is_start_workflow', "false"),
"is_start_trigger": data.get('is_start_trigger', "false"),
}, cls=NpEncoder)
retries = 0
while retries <= max_retries:
try:
res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
data_get = res.json()
if data_get["status"] == "success":
data_get_list.append(data_get)
break # 成功则跳出循环
else:
logger.warning(f"请求异常,将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(0.1) # 在重试之间稍作停顿
if retries > max_retries:
error_task_logger.error(
f"任务 {data['data_list'][start_index:end_index]} 连续{max_retries}次请求失败,放弃此次请求。")
data_get_list.append(None) # 或者可以选择记录失败的payload以便后续处理
return data_get_list
@staticmethod
def entry_data_update(data: dict, max_retries: int = 20) -> dict: # 修改数据
"""
修改数据
:param max_retries: 最大重试次数,此处设置100次
: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
:return: 修改数据后简道云返回的结果
"""
url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/update'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
'Content-Type': 'application/json'
}
payload = json.dumps({
"app_id": data['api_key'], # 应用ID
"entry_id": data['entry_id'], # 表单ID
"data_id": data['data_id'], # 数据ID
"data": data['data']
}
)
data_get = None
retries = 0
while retries <= max_retries:
try:
res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
data_get = res.json()
if res.status_code == 200:
break # 成功则跳出循环
else:
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(10) # 在重试之间稍作停顿
if retries > max_retries:
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。")
continue
return data_get
@staticmethod
def entry_data_delete(data: dict, max_retries: int = 20, ) -> dict:
"""
删除单条数据
:param data: 应包含应用ID、表单ID、数据ID
:param max_retries: 最大重试次数,默认20
:return:
"""
url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/delete'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
'Content-Type': 'application/json'
}
payload = json.dumps({
"app_id": data['api_key'], # 应用ID
"entry_id": data['entry_id'], # 表单ID
"data_id": data['data_id'], # 数据ID
}
)
retries = 0
delete_status = None
while retries <= max_retries:
try:
res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
delete_status = res.json()
# 手动处理状态码 4001
if delete_status == {
"code": 4001,
"msg": "Data does not exist."
}:
logger.info(f"返回结果:, {delete_status}")
break # 成功则跳出循环
# 检查其他状态码
res.raise_for_status() # 只对非 4001 的状态码进行检查
logger.info(f"返回结果:, {delete_status}")
if res.status_code == 200:
break # 成功则跳出循环
else:
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(10) # 在重试之间稍作停顿
if retries > max_retries:
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。")
continue
return delete_status
@staticmethod
def entry_data_batch_delete(
data: dict,
chunk_size: int = 90,
max_retries: int = 20
) -> List[Optional[requests.Response]]: # 新建多条数据 注意简道云限制1次最多100条数据
"""
批量删除数据
:param data: 应包含应用ID、表单ID、数据ID列表
:param chunk_size:单词删除最大条数,默认90
:param max_retries:重试次数,默认20
:return:
"""
data = replace_decimals(data)
url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/batch_delete'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
'Content-Type': 'application/json'
}
# 获取data_list长度
total_length = len(data['data_ids'])
logger.info(f"多数据删除行数: {total_length}")
# 计算需要发送的次数
num_chunks = (total_length + chunk_size - 1) // chunk_size # //整除向下取证,需要加上chunk_size - 1保证不会有缺失数据
data_get_list = []
for i in range(num_chunks):
start_index = i * chunk_size
end_index = min(start_index + chunk_size, total_length)
payload = json.dumps({
"app_id": data['api_key'], # 应用ID
"entry_id": data['entry_id'], # 表单ID
"data_ids": data['data_ids'][start_index:end_index],
}, cls=NpEncoder)
retries = 0
while retries <= max_retries:
try:
res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
data_get = res.json()
logger.info(f"{i}页 返回结果: {data_get}")
if data_get["status"] == "success":
data_get_list.append(data_get)
break # 成功则跳出循环
else:
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(0.1) # 在重试之间稍作停顿
if retries > max_retries:
error_task_logger.error(
f"任务 {data['data_list'][start_index:end_index]} 连续{max_retries}次请求失败,放弃此次请求。")
data_get_list.append(None) # 或者可以选择记录失败的payload以便后续处理
return data_get_list
@staticmethod
def workflow_instance_get(data: dict, max_retries: int = 20) -> dict:
"""
查询实例流程信息
:param max_retries:
:param data: 简道云插件发送过来的data,包含应用id
:return: 查询简道云流程实例信息返回的结果
"""
url = 'https://api.jiandaoyun.com/api/v5/workflow/instance/get'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
'Content-Type': 'application/json'
}
payload = json.dumps({
"instance_id": data['data_id'],
"tasks_type": 1
}
)
data_get = None
retries = 0
while retries <= max_retries:
try:
res = requests.post(url=url, data=payload, headers=headers, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
data_get = res.json()
# print( "返回结果:", data_get)
if res.status_code == 200:
break # 成功则跳出循环
else:
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(0.1) # 在重试之间稍作停顿
if retries > max_retries:
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。")
return data_get
@staticmethod
def workflow_task_approve(data: dict) -> dict:
"""
流程待办提交
:param data:应包含username、instance_id(data_id)、task_id等信息
:return:返回简道云流程待办提交的结果
"""
url = 'https://api.jiandaoyun.com/api/v1/workflow/task/approve'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
'Content-Type': 'application/json'
}
payload = json.dumps({
"username": data["username"],
"instance_id": data["instance_id"],
"task_id": data['task_id'],
"comment": ""
}
)
res = requests.post(url=url, data=payload, headers=headers, timeout=10)
return res.json()
@staticmethod
def workflow_task_hand_over(data: dict, max_retries: int = 10) -> dict | None:
"""
流程待办转交
:param max_retries: 最大重试次数
:param data:应包含username、instance_id(data_id)、task_id等信息
:return:返回简道云流程待办转交的结果
"""
url = 'https://api.jiandaoyun.com/api/v1/workflow/task/transfer'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
'Content-Type': 'application/json'
}
payload = json.dumps({
"username": data["username"], # 当前节点的负责人
"instance_id": data["instance_id"],
"task_id": data['task_id'],
"transfer_username": data['transfer_username'], # 转交人
"comment": "转交"
}
)
retries = 0
while retries <= max_retries:
try:
res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
if res.status_code == 200:
return res.json()
else:
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
if retries > max_retries:
error_task_logger.error(
f"任务 {data['data_list']} 连续{max_retries}次请求失败,放弃此次请求。")
return None
@staticmethod
def get_upload_token(data: dict, max_retries: int = 10) -> dict[str, Any] | None:
"""
获取文件上传凭证
:param max_retries: 最大重试次数
:param data: 应包含应用ID、表单ID、事务ID
:return: 返回upload_url、upload_token
"""
url = 'https://api.jiandaoyun.com/api/v5/app/entry/file/get_upload_token'
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
'Content-Type': 'application/json'
}
payload = json.dumps({
"app_id": data['api_key'], # 应用ID
"entry_id": data['entry_id'], # 表单ID
"transaction_id": data['transaction_id'], # 事务ID
})
retries = 0
while retries <= max_retries:
try:
res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
res_j = res.json()
upload_url = res_j['token_and_url_list'][0]['url']
upload_token = res_j['token_and_url_list'][0]['token']
logger.info(f"返回结果: {upload_url}, {upload_token}")
if res.status_code == 200:
return {
'upload_url': upload_url,
'upload_token': upload_token
}
else:
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
if retries > max_retries:
error_task_logger.error(
f"任务 {data['data_list']} 连续{max_retries}次请求失败,放弃此次请求。")
return None
@staticmethod
def upload_file(data: dict, max_retries: int = 10) -> Any | None:
"""
上传文件
:param max_retries: 最大重试次数
:param data: 应包含上传文件路径、上传文件url、上传文件token
:return: 返回上传文件结果
"""
url = data['upload_url']
headers = {
'Authorization': Config.JIANDAOYUN_API_TOKEN, # 曹伟应用api测试 appKey
# 'Content-Type': 'application/json'
}
file_path = data['file_path'] # 上传文件路径
payload = {
"token": data['upload_token'], # 上传文件token
}
f = open(file_path, 'rb')
files = {
"file": f
}
retries = 0
while retries <= max_retries:
try:
res: requests.Response = requests.post(url=url, data=payload, headers=headers, files=files, timeout=10)
res.raise_for_status() # 检查HTTP响应状态码,如果不等于200会抛出异常
data_get = res.json()
logger.info(f"返回结果: {data_get}")
if res.status_code == 200:
return data_get
else:
logger.warning(f"请求异常, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
except requests.exceptions.RequestException as e:
logger.warning(f"请求异常: {e}, 将重新请求")
retries += 1
time.sleep(3) # 在重试之间稍作停顿
if retries > max_retries:
error_task_logger.error(
f"任务 {data['data_list']} 连续{max_retries}次请求失败,放弃此次请求。")
f.close()
return None