Azure Python 应用函数不再在本地运行 - 模块 'azure.functions_worker' 没有属性'start_async'

Question

我用Python构建了一个Azure App函数，它在虚拟环境中本地运行良好，并且在发布到Azure时也运行良好。 我现在回到它做一些进一步的工作，当尝试在本地运行时，我收到以下错误。网上没有太多(如果有的话(可以帮助我理解为什么会发生此错误？我还没有更改本地代码。

蟒蛇版本

PS C:temppython_function> python --version
Python 3.7.1

要运行的命令

PS C:temppython_function> func host start

结果

[16/04/2019 1:11:51 AM] Starting language worker process:python  "C:UsersjmatsonAppDataRoamingnpmnode_modulesazure-functions-core-toolsbinworkerspythonworker.py" --host 127.0.0.1 --port 60810 --workerId 0d7f3e36-a0a2-4478-aa49-c46e2c48cb77 --requestId 0e417fc7-eccb-4fcb-b889-b197ecfad53d --grpcMaxMessageLength 134217728
[16/04/2019 1:11:51 AM] python process with Id=15040 started
[16/04/2019 1:11:51 AM] Adding dependency download request to python language worker
[16/04/2019 1:11:52 AM] Traceback (most recent call last):
[16/04/2019 1:11:52 AM]   File "C:UsersjmatsonAppDataRoamingnpmnode_modulesazure-functions-core-toolsbinworkerspythonworker.py", line 37, in main
[16/04/2019 1:11:52 AM]     return aio_compat.run(azure.functions_worker.start_async(
[16/04/2019 1:11:52 AM] AttributeError: module 'azure.functions_worker' has no attribute 'start_async'
[16/04/2019 1:11:52 AM] Traceback (most recent call last):
[16/04/2019 1:11:52 AM]   File "C:UsersjmatsonAppDataRoamingnpmnode_modulesazure-functions-core-toolsbinworkerspythonworker.py", line 46, in <module>
[16/04/2019 1:11:52 AM]     main()
[16/04/2019 1:11:52 AM]   File "C:UsersjmatsonAppDataRoamingnpmnode_modulesazure-functions-core-toolsbinworkerspythonworker.py", line 37, in main
[16/04/2019 1:11:52 AM]     return aio_compat.run(azure.functions_worker.start_async(
[16/04/2019 1:11:52 AM] AttributeError: module 'azure.functions_worker' has no attribute 'start_async'
[16/04/2019 1:11:52 AM] Language Worker Process exited.
[16/04/2019 1:11:52 AM] python exited with code 1
 AttributeError: module 'azure.functions_worker' has no attribute 'start_async'.

下面添加的代码：

import logging
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import boto3
import uuid
import io
import os
import json
import requests
import matplotlib.dates as mdates
import azure.functions as func
from scipy.ndimage.filters import gaussian_filter1d
from scipy.interpolate import make_interp_spline, BSpline
from scipy.interpolate import spline
from pandas.plotting import register_matplotlib_converters
from matplotlib.dates import MonthLocator
register_matplotlib_converters()
def main(req: func.HttpRequest) -> func.HttpResponse:
    logging.info('Python HTTP trigger function processed a request.')
    sns.set_style("dark")
    rowcount = req.params.get('rows')
    if not rowcount:
        try:
            req_body = req.get_json()
        except ValueError:
            pass
        else:
            rowcount = req_body.get('rows')
    if rowcount:
        rowcount = int(rowcount)
        headers = {'Content-Type': 'application/json'}
        api_url = f'https://<removed>.execute-api.ap-southeast-2.amazonaws.com/Prod/tables/<removed>/all?&server=P781S001&ordercol=daily_sales_date&order=DESC&rowlimit={str(rowcount)}'
        response = requests.get(api_url, headers=headers)
        if response.status_code == 200:
            json_data = json.loads(response.content.decode('utf-8'))
        else:
            return func.HttpResponse(
                "Couldn't contact the InSite API. No data returned.",
                status_code=400
            )
        print os.environ['AWS_ACCESS_KEY']
        dates = [i['daily_sales_date'] for i in json_data]
        values = [i['daily_sales'] for i in json_data]
        df = pd.DataFrame({'dates':dates, 'values':values})
        df['dates']  = [pd.to_datetime(i) for i in df['dates']]
        fig, ax = plt.subplots()
        ax.plot(df['dates'].values, df['values'].values)
        ax.set(xlabel='date', ylabel='sales ($)',
            title='Sales from ' + str(min(df['dates'].values)) + ' to ' + str(max(df['dates'].values)))
        ax.xaxis.set_major_locator(MonthLocator())
        ax.grid()
        session = boto3.Session(
            aws_access_key_id='',
            aws_secret_access_key='',
        )
        s3 = session.resource('s3')
        img_data = io.BytesIO()
        plt.savefig(img_data, format='png')
        img_data.seek(0)
        s3.Bucket('api-dev-jupyter-notebook-s3').put_object(Key='graph_sales.png', ContentType='image/png', Body=img_data, ACL='public-read')
        return func.HttpResponse(f"You requested {rowcount} rows. Sample data {dates[0]} {str(values[0])}")
    else:
        return func.HttpResponse(
             "This method requires you to state the amount of rows you want to query. E.g. rows=20.",
             status_code=400
        )

Answer 1

"卸载 Azure CLI 核心工具并使用 choclatey 安装https://learn.microsoft.com/en-us/azure/azure-functions/functions-run-local#v2它工作正常！希望对您有所帮助。

参考 ： https://github.com/MicrosoftDocs/azure-docs/issues/24489#issuecomment-463158145

Answer 2

问题解决了。虽然普遍可用的互联网文档指出，您可以使用以下内容在Windows上启动Python虚拟环境：

Launch virtualenv
In your Command Prompt navigate to your project:
cd your_project
Within your project:
virtualenv env
Activate your virtualenv:
on Windows, virtualenv creates a batch file
envScriptsactivate.bat
to activate virtualenv on Windows, activate script is in the Scripts folder :
pathtoenvScriptsactivate

这似乎不起作用，并且(至少(导致我观察到的错误。相反，我遵循了Microsoft文章中的明确说明 - https://learn.microsoft.com/en-us/azure/azure-functions/functions-create-first-function-python 确实有效。

PS C:temppython_function> py -3.6 -m venv .env
PS C:temppython_function> .envscriptsactivate
(.env) PS C:temppython_function> func host start