在云上运行时Azure函数ImportError FunctionRegister

xe55xuns 于 2022-12-14 发布在其他

关注(0)|答案(3)|浏览(181)

I have a durable app function running on versions 3.x written in pyhton 3.7 that worked fine from the last 1 year. After a new release due to a minor change in software I had to redeploy the function app via

func azure functionapp publish

When I try to run it locally using the Debug tool in VS Code I don't get any error and everything works fine, but now when I run it in cloud (in az portal for instance) i get this error:
Result: Failure Exception: ImportError: cannot import name 'FunctionRegister' from 'azure.functions' (/azure-functions-host/workers/python/3.7/LINUX/X64/azure/functions/init.py). Troubleshooting Guide: https://aka.ms/functions-modulenotfound Stack: File "/azure-functions-host/workers/python/3.7/LINUX/X64/azure_functions_worker/dispatcher.py", line 318, in _handle__function_load_request func_request.metadata.entry_point) File "/azure-functions-host/workers/python/3.7/LINUX/X64/azure_functions_worker/utils/wrappers.py", line 42, in call raise extend_exception_message(e, message) File "/azure-functions-host/workers/python/3.7/LINUX/X64/azure_functions_worker/utils/wrappers.py", line 40, in call return func(*args, **kwargs) File "/azure-functions-host/workers/python/3.7/LINUX/X64/azure_functions_worker/loader.py", line 85, in load_function mod = importlib.import_module(fullmodname) File "/usr/local/lib/python3.7/importlib/init.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1006, in _gcd_import File "", line 983, in _find_and_load File "", line 967, in _find_and_load_unlocked File "", line 677, in _load_unlocked File "", line 728, in exec_module File "", line 219, in _call_with_frames_removed File "/home/site/wwwroot/ClientStarter/init.py", line 5, in import azure.durable_functions as df File "/home/site/wwwroot/.python_packages/lib/site-packages/azure/durable_functions/init.py", line 14, in from .decorators import DFApp File "/home/site/wwwroot/.python_packages/lib/site-packages/azure/durable_functions/decorators/init.py", line 4, in from .durable_app import DFApp File "/home/site/wwwroot/.python_packages/lib/site-packages/azure/durable_functions/decorators/durable_app.py", line 10, in from azure.functions import FunctionRegister, TriggerApi, BindingApi, AuthLevel
I understood that there are some problems with module due to pyhton version and app version but I cannot go with 4.x, is there a way to still use 3.x and avoid the error?
Any help is appreciated

Azure

来源：https://stackoverflow.com/questions/74706756/azure-function-importerror-functionregister-when-runnning-on-cloud

3条答案

按热度按时间

pobjuy321#

最简单的短期解决方案是将requirement.txt中的版本修改为1.1.6版

... #other requirements
azure-functions-durable==1.1.6
...

赞(0）回复(0）举报 2022-12-14

fcg9iug32#

我今天遇到了这个确切的问题-将Python升级到3. 9，并将Azure函数升级到运行时版本~4，解决了这个问题。

赞(0）回复(0）举报 2022-12-14

btxsgosb3#

对于运行时堆栈为Python的Azure函数应用程序，限制为Python 3.9。
在执行visual studio代码中的持久函数之前，我得到了如下相同类型的警告：

它声明它支持最高Python 3.10版本来执行Visual Studio代码中的durable orchestrator函数，但不是最新的版本。（Python 3.11）

注意：使用持久性函数时，必须检查版本兼容性（Python）。否则，将引发“导入错误"。

在满足所有先决条件后，我尝试通过安装依赖项在我的环境中创建和执行示例编排器、活动以及客户端函数，结果成功运行。

编排器-〉init.py：

import  logging
import  json
import  azure.functions  as  func
import  azure.durable_functions  as  df
def  orchestrator_function(context: df.DurableOrchestrationContext):
result1 = yield  context.call_activity('Hello', "Tokyo")
result2 = yield  context.call_activity('Hello', "Seattle")
result3 = yield  context.call_activity('Hello', "London")
return [result1, result2, result3]
main = df.Orchestrator.create(orchestrator_function)

要求.txt：

azure-functions
azure-functions-durable

持久性HttpStarter函数-〉init.py：

import  logging
import  azure.functions  as  func
import  azure.durable_functions  as  df
async  def  main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
instance_id = await  client.start_new(req.route_params["functionName"], None, None)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return  client.create_check_status_response(req, instance_id)

输出：