Question

在尝试在本地运行我的azure函数时，VS代码中的python设置一直存在一些不一致的问题。我试图避免使用VS代码自动为azure函数项目设置的“ venv”环境，而是使用我创建的预先创建的conda环境并安装所有要求。请澄清一下，这是关于本地部署和不是天青的门户网站。

myfunc__init __。py ：

import json
import logging
import time

import azure.functions as func
import pandas as pd                    # Import Error happens here!

def main(req: func.HttpRequest) -> func.HttpResponse:
   ...

.vscode \ Settings.json ：

{
  // Local Machine Conda VENV (Define CONDAPATH in Windows Environment)
  "python.condaPath": "%CONDAPATH%",
  "python.pythonPath": "%CONDAPATH%\\envs\\azure\\python.exe",
  "azureFunctions.pythonVenv": "%CONDAPATH%\\envs\\azure",

  // Created Local VENV by VS Code (pythonPath is difference for MAC vs Windows)
  //"azureFunctions.pythonVenv": ".venv",

  // Azure Function Stuff
  "azureFunctions.deploySubpath": ".",
  "azureFunctions.scmDoBuildDuringDeployment": true,
  "azureFunctions.projectLanguage": "Python",
  "azureFunctions.projectRuntime": "~2",
  "azureFunctions.preDeployTask": "func: pack --build-native-deps",
  "debug.internalConsoleOptions": "neverOpen",
}

注意：如果我将%CONDAPATH%替换为conda的实际绝对路径，则问题仍然存在。

仅在需要的情况下，launch.json被配置为波纹管：

{
  "version": "0.2.0",
  "configurations": [
    {
      "name": "Linux_PyFunc",
      "type": "python",
      "request": "attach",
      "port": 9091,
      "preLaunchTask": "func: host start"
    }
  ]
}

当VS Code运行功能时，部署将顺利完成，并且将生成本地链接。通过Postman调用函数后，返回的状态为HTTP 500，这是由于无法import pandas并没有找到错误模块。

如果我在"azureFunctions.pythonVenv": ".venv"中设置了settings.json，则这些函数会在本地部署，并且一旦被触发/调用，它将返回HTTP 200状态和正确的响应。

因此，这使我想到了一个问题，即VS代码是否支持conda环境用于azure函数部署，如果是，我在这里缺少什么？

Answer 1

对于任何面临类似问题的人，由于 Brig 提供的答案，我最终得到了以下设置：

.vscode\settings.json

{
    // python.pythonPath is machine-dependent, AVOIDING a set value here
    // Local Machine Conda VENV (Define CONDAPATH in Windows Environment)
    "python.condaPath": "${env:CONDAPATH}/Library/bin/conda.bat",
    "python.pythonPath": "${env:CONDAPATH}/envs/azure/python.exe",
    // Needs `pyvenv.cfg` present in venv path?
    // "azureFunctions.pythonVenv": "${env:CONDAPATH}/envs/azure",

    // Created Local VENV by VS Code (pythonPath is difference for MAC vs Windows)
    "azureFunctions.pythonVenv": ".venv",

    // Windows pythonPath
    // "python.pythonPath": "src/.venv/Scripts/python.exe",
    // MAC pythonPath
    // "python.pythonPath": "src/.venv/bin/python",  
    
    // Azure Function Stuff
    "azureFunctions.deploySubpath": "src",
    "azureFunctions.scmDoBuildDuringDeployment": true,
    "azureFunctions.projectLanguage": "Python",
    "azureFunctions.projectRuntime": "~3",
    "azureFunctions.preDeployTask": "func: pack --build-native-deps",
    "debug.internalConsoleOptions": "neverOpen",    
}

.vscode\tasks.json

{
    "tasks": [
        {
            "type": "func",
            "command": "host start",
            "problemMatcher": "$func-watch",
            "isBackground": true,
            "dependsOn": "pipInstall",
            "options": {
                "cwd": "${workspaceFolder}/src"
            }
        },
        {
            "label": "pipInstall",
            "type": "shell",
            "osx": {
                "command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
            },
            "windows": {
                "command": "${config:azureFunctions.pythonVenv}\\Scripts\\python -m pip install -r requirements.txt"
            },
            "linux": {
                "command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
            },
            "problemMatcher": [],
            "options": {
                "cwd": "${workspaceFolder}/src"
            }
        }
    ]
}

Answer 2

这是我要获得conda环境而不是venv的方法

查看settings.json文件。因为我已经安装了python扩展，并且已经为该项目配置了解释器，所以我有一个名为python.pythonPath的设置。我想使用此python代替venv，所以我将venv设置注释掉。

{
    "azureFunctions.deploySubpath": "./functions/",
    "azureFunctions.scmDoBuildDuringDeployment": true,
    // "azureFunctions.pythonVenv": "../.venv", // Ignore not going to use
    "azureFunctions.projectLanguage": "Python",
    ...
    "python.pythonPath": "C:\\path\\to\\Anaconda3\\envs\\myenviron\\python.exe",
   ...
}

接下来，编辑task.json。请注意，有一个pipInstall任务。我更改了widows命令，使其使用在设置中定义的python.pythonPath。

旧值类似于"command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install...，新值为"command": "${config:python.pythonPath} -m pip install...

{
    "version": "2.0.0",
    "tasks": [
        ...
        {
            "label": "pipInstall",
            "type": "shell",
            "osx": {
                "command": "${config:python.pythonPath} -m pip install -r ${config:azureFunctions.deploySubpath}/requirements.txt"
            },
            "windows": {
                "command": "${config:python.pythonPath} -m pip install -r ${config:azureFunctions.deploySubpath}\\requirements.txt"
            },
            "linux": {
                "command": "${config:python.pythonPath} -m pip install -r ${config:azureFunctions.deploySubpath}/requirements.txt"
            },
            "problemMatcher": []
        }
    ]
}

使用conda环境以VS代码部署Azure Functions

2 个答案:

.vscode\settings.json

.vscode\tasks.json