问题

Locally the functions debug just fine, if I deploy via vscode to my azure function I get No HTTP Triggers found and the devops pipeline does not deploy triggers either.

我在本地调试这些函数时一切正常，但如果我通过VSCode部署到Azure函数，我会收到“未找到HTTP触发器”的消息，而DevOps管道也不会部署触发器。

I have "AzureWebJobsFeatureFlags": "EnableWorkerIndexing" set locally and as a function app setting.

我在本地和函数应用设置中都设置了"AzureWebJobsFeatureFlags": "EnableWorkerIndexing"。

Code is appropriately decorated

代码已经适当地进行了装饰

@app.route(route="functionname", auth_level=func.AuthLevel.FUNCTION)
def functioname(req: func.HttpRequest) -> func.HttpResponse:

@app.route(route="functionname", auth_level=func.AuthLevel.FUNCTION)
def functioname(req: func.HttpRequest) -> func.HttpResponse:

Deployments succeed both ways but no functions show

部署都成功了，但没有显示任何函数

Azure Pipeline shows correct files:

Azure管道显示了正确的文件：

Azure function app files show function_app.py at the root folder

Azure函数应用文件在根文件夹中显示function_app.py

test function

测试函数

app = func.FunctionApp(http_auth_level=func.AuthLevel.ANONYMOUS)
@app.function_name("personas")
@app.route(route="character-managment/personas")
def personas(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
return func.HttpResponse("ok", status_code=200)

app = func.FunctionApp(http_auth_level=func.AuthLevel.ANONYMOUS)
@app.function_name("personas")
@app.route(route="character-managment/personas")
def personas(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
return func.HttpResponse("ok", status_code=200)

Folder structure

文件夹结构

Works locally

在本地运行正常

@app.route(route="functionname", auth_level=func.AuthLevel.FUNCTION)
def functioname(req: func.HttpRequest) -> func.HttpResponse:

app = func.FunctionApp(http_auth_level=func.AuthLevel.ANONYMOUS)    
@app.function_name("personas")
    @app.route(route="character-managment/personas")
    def personas(req: func.HttpRequest) -> func.HttpResponse:
        logging.info('Python HTTP trigger function processed a request.')
    return func.HttpResponse("ok", status_code=200)

答案1

得分: 0

I tried to reproduce the same in my environment. I could see the deployed function in Azure function app.

• Created a test default Python v2 function and deployed to Azure function app.

Local:

• Make sure you added the setting "AzureWebJobsFeatureFlags": "EnableWorkerIndexing" in local.settings.json:

{
  "IsEncrypted": false,
  "Values": {
    "FUNCTIONS_WORKER_RUNTIME": "python",
    "AzureWebJobsFeatureFlags": "EnableWorkerIndexing",
    "AzureWebJobsStorage": "<storage_connection_string>"
  }
}

• Create and activate a new virtual environment using the commands:

py -m venv .venv
. \.venv\Scripts\activate

• Include all the required packages in requirements.txt file.
• Install all the packages by running the command pip run -r requirements.txt in the terminal.

• Created a Python function app with Consumption plan and version 3.10.

• Deployed the function with the command func azure functionapp publish <function_app_name>:

Portal:

I could also deploy the function with custom packages to Azure Function App.

requirements.txt:

azure-functions
numpy
pandas

Code(function_app.py):

import azure.functions as func
import logging
import numpy as np
import pandas as pd
app = func.FunctionApp()


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

    arr = np.array([1, 2, 3])
    df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

    name = req.params.get('name')
    if not name:
        try:
            req_body = req.get_json()
        except ValueError:
            pass
        else:
            name = req_body.get('name')

    if name:
        return func.HttpResponse(f"Hello, {name}. This HTTP triggered function executed successfully with {arr} and {df}.")
    else:
        return func.HttpResponse(
             "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
             status_code=200
        )

Local:

Portal:

References:

Create a Python function from the command line

You can also refer GitHub ticket raised on the same issue.

{
  "IsEncrypted": false,
  "Values": {
    "FUNCTIONS_WORKER_RUNTIME": "python",
    "AzureWebJobsFeatureFlags": "EnableWorkerIndexing",
    "AzureWebJobsStorage": "<storage_connection_string>"
  }
}

py -m venv .venv
. \.venv\Scripts\activate

azure-functions
numpy
pandas

import azure.functions as func
import logging
import numpy as np
import pandas as pd
app = func.FunctionApp()


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

    arr = np.array([1, 2, 3])
    df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

    name = req.params.get('name')
    if not name:
        try:
            req_body = req.get_json()
        except ValueError:
            pass
        else:
            name = req_body.get('name')

    if name:
        return func.HttpResponse(f"Hello, {name}. This HTTP triggered function executed successfully with {arr} and {df}.")
    else:
        return func.HttpResponse(
             "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
             status_code=200
        )