Azure Function App Phyton - 访问存储帐户

Question

我在 Linux 主机上创建了一个函数应用程序。我通过管道进行部署，一切都按预期进行。在我开始导入天蓝色库之前，这些功能还没有部署。没有错误。

#When adding below functions fails to show in the azure portal. 
from azure.identity import DefaultAzureCredential
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient

完整代码：

import logging
import azure.functions as func
import json
from azure.identity import DefaultAzureCredential
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient

app = func.FunctionApp()

import logging
import azure.functions as func

app = func.FunctionApp()


@app.route(route="get_port_data", auth_level=func.AuthLevel.FUNCTION)
def get_port_data(req: func.HttpRequest) -> func.HttpResponse:
    logging.info('Python HTTP trigger function processed a request.')

    lat = req.params.get('lat')
    long = req.params.get('lng')

    # credential = DefaultAzureCredential()
    # blob_service_client = BlobServiceClient(account_url="https://xx.blob.core.windows.net", credential=credential)    

    jsn = {"region":"USAC","port":"West"}

    return func.HttpResponse(
        json.dumps(jsn),
        mimetype="application/json",
            status_code=200
    )

Deployment pipeline:

# Starter pipeline
# Start with a minimal pipeline that you can customize to build and deploy your code.
# Add steps that build, run tests, deploy, and more:
# https://aka.ms/yaml

trigger:
- none

variables:
# Azure Resource Manager connection created during pipeline creation
  azureServiceConnectionId: 'xx'

# Web app name
  webAppName: 'xx'

# Agent VM image name
  vmImageName: 'ubuntu-latest'

# Environment name
  environmentName: 'func-xx'

# Project root folder.
  projectRoot: $(System.DefaultWorkingDirectory)

# Python version: 3.11. Change this to match the Python runtime version running on your web app.
  pythonVersion: '3.11'

  workingDirectory: ''

pool:
  vmImage: $(vmImageName)

stages:
- stage: Build
  displayName: Build stage

  jobs:
  - job: Build
    displayName: Build
    pool:
      vmImage: $(vmImageName)

    steps:
    # - bash: |
    #     if [ -f extensions.csproj ]
    #     then
    #         dotnet build extensions.csproj --runtime ubuntu.16.04-x64 --output ./bin
    #     fi
    #   workingDirectory: $(workingDirectory)
    #   displayName: 'Build extensions'

    - task: UsePythonVersion@0
      displayName: 'Use Python 3.11'
      inputs:
        versionSpec: 3.11

    - bash: |
        pip install --target="./.python_packages/lib/site-packages" -r ./requirements.txt
      workingDirectory: $(workingDirectory)
      displayName: 'Install application dependencies'

    - task: ArchiveFiles@2
      displayName: 'Archive files'
      inputs:
        rootFolderOrFile: '$(workingDirectory)'
        includeRootFolder: false
        archiveType: zip
        archiveFile: $(Build.ArtifactStagingDirectory)/$(Build.BuildId).zip
        replaceExistingArchive: true

    - publish: $(Build.ArtifactStagingDirectory)/$(Build.BuildId).zip
      artifact: drop
- stage: Deploy
  displayName: Deploy stage
  dependsOn: Build
  condition: succeeded()

  jobs:
  - deployment: Deploy
    displayName: Deploy
    environment: 'development'
    pool:
      vmImage: $(vmImageName)

    strategy:
      runOnce:
        deploy:

          steps:
          - task: AzureFunctionApp@1
            displayName: 'Azure functions app deploy'
            inputs:
              azureSubscription: '$(azureServiceConnectionId)'
              appType: functionAppLinux
              appName: $(webAppName)
              package: '$(Pipeline.Workspace)/drop/$(Build.BuildId).zip'

Answer 1

在Python函数中，当代码语法不正确时，即使部署正确，也不会在门户中显示。

要从 blob 容器访问文件，请使用下面给定的代码。 这段代码对我有用。

function_app.py

:

import azure.functions as func
import logging
from azure.storage.blob import BlobServiceClient
from azure.identity import DefaultAzureCredential


app = func.FunctionApp()


@app.route(route="http_trigger", auth_level=func.AuthLevel.ANONYMOUS)
def http_trigger(req: func.HttpRequest) -> func.HttpResponse:
    logging.info('Python HTTP trigger function processed a request.')

    accountName = "vivekrgb97d"
    containerName = "test"
    fileName = "upload.txt"


    credential = DefaultAzureCredential()
    blobServiceClient = BlobServiceClient(account_url=f"https://{accountName}.blob.core.windows.net/", credential= credential)

    containerClient = blobServiceClient.get_container_client(containerName)
    blobClient = containerClient.get_blob_client(fileName)

    content = blobClient.download_blob().readall().decode("utf-8")

    return func.HttpResponse(content)
    

azure-pipelines.yml

:

trigger:
- main

variables:

  azureSubscription: 'xxxxxxxxxxxxxxxxx'

  functionAppName: 'pyfunc22aug'

  vmImageName: 'ubuntu-latest'

  workingDirectory: '.'

stages:
- stage: Build
  displayName: Build stage

  jobs:
  - job: Build
    displayName: Build
    pool:
      vmImage: $(vmImageName)

    steps:
    - bash: |
        if [ -f extensions.csproj ]
        then
            dotnet build extensions.csproj --runtime ubuntu.16.04-x64 --output ./bin
        fi
      workingDirectory: $(workingDirectory)
      displayName: 'Build extensions'

    - task: UsePythonVersion@0
      displayName: 'Use Python 3.11'
      inputs:
        versionSpec: 3.11 

    - bash: |
        pip install --target="./.python_packages/lib/site-packages" -r ./requirements.txt
      workingDirectory: $(workingDirectory)
      displayName: 'Install application dependencies'

    - task: ArchiveFiles@2
      displayName: 'Archive files'
      inputs:
        rootFolderOrFile: '$(workingDirectory)'
        includeRootFolder: false
        archiveType: zip
        archiveFile: $(Build.ArtifactStagingDirectory)/$(Build.BuildId).zip
        replaceExistingArchive: true

    - publish: $(Build.ArtifactStagingDirectory)/$(Build.BuildId).zip
      artifact: drop

- stage: Deploy
  displayName: Deploy stage
  dependsOn: Build
  condition: succeeded()

  jobs:
  - deployment: Deploy
    displayName: Deploy
    environment: 'development'
    pool:
      vmImage: $(vmImageName)

    strategy:
      runOnce:
        deploy:

          steps:
          - task: AzureFunctionApp@1
            displayName: 'Azure functions app deploy'
            inputs:
              azureSubscription: '$(azureSubscription)'
              appType: functionAppLinux
              appName: $(functionAppName)
              package: '$(Pipeline.Workspace)/drop/$(Build.BuildId).zip'

使用

DefaultAzureCredential

时，请确保根据需要执行的操作分配所需的角色。

作为参考，请检查此文档

OUTPUT

：