GitHub action freezes python durable functions

[phyrrus]

Hi there,

I've created a python azure durable function with a time trigger. The function works well, but when I try to use the code below to build and deploy the function via GitHub Actions, the function stops working. After that, if I try to manually trigger the function via VS Code I get the error message: 'Unexpected status code: 404'.

Is this a bug or am I doing something wrong in the yml?

Thanks!

name: Build and deploy

on:
  [push]

env:
  AZURE_FUNCTIONAPP_NAME: function_name # set this to your application's name
  AZURE_FUNCTIONAPP_PACKAGE_PATH: '.' # set this to the path to your web app project, defaults to the repository root
  PYTHON_VERSION: '3.8' # set this to the python version to use (supports 3.6, 3.7, 3.8)

jobs:
  build:
    runs-on: ubuntu-latest
    steps:

      - name: Checkout repository
        uses: actions/checkout@v2

      - name: Setup Python ${{ env.PYTHON_VERSION }} Environment
        uses: actions/setup-python@v1
        with:
          python-version: ${{ env.PYTHON_VERSION }}

      - name: 'Resolve Project Dependencies Using Pip'
        shell: bash
        run: |
          pushd './${{ env.AZURE_FUNCTIONAPP_PACKAGE_PATH }}'
          python -m pip install --upgrade pip
          pip install -r requirements.txt --target=".python_packages/lib/site-packages"
          popd
        
      #tests here

      - name: 'Deploy to Azure Functions'
        uses: Azure/functions-action@v1
        id: deploy-to-function
        with:
          app-name: ${{ env.AZURE_FUNCTIONAPP_NAME }}
          package: ${{ env.AZURE_FUNCTIONAPP_PACKAGE_PATH }}
          publish-profile: ${{ secrets.AZURE_CREDENTIALS }}

[davidmrdavid]

Hi @phyrrus,

Thank you for reaching out! As the Python SDK developer, I personally don't have much (or any) control over the interaction with GitHub Actions, so I suspect this issue is most likely not on our end.

Still, we can probably help figure out what went wrong, or at least try route you to the right folks.

Can you please provide us with a local, minimal, reproducer that we can use to investigate? Please do not share any private keys with us, just some minimal starter code (ideally .zip'ed to this thread) and instructions to reproduce should do the trick. Thanks!

[phyrrus]

Hi there,

Thanks a lot for the nice reply. Here's a very simple durable function which works when deployed, but stops working once I add the yml file above.

Thanks!

Trigger:

import logging
import azure.functions as func
import azure.durable_functions as df

async def main(mytimer: func.TimerRequest, starter: str) -> None:
    client = df.DurableOrchestrationClient(starter)
    instance_id = await client.start_new("Orchestrator", None, None)
    logging.info(f"Started orchestration with ID = '{instance_id}'.")

Orchestrator:

import logging, json
import azure.functions as func
import azure.durable_functions as df
import pandas as pd

def orchestrator_function(context: df.DurableOrchestrationContext)-> None: 
    users = pd.DataFrame(list(zip(['Tom', 'Mary'], ['[email protected]', '[email protected]'])), columns =['name', 'email'])
    data = pd.DataFrame(list(zip(['col11', 'col12'], ['col21', 'col22'])), columns =['col1', 'col2'])
    tasks = [ context.call_activity("Activity", {'user': json.dumps(row.to_dict()), 
                                                                           'data': json.dumps( data.dropna().to_dict() )}) for i, row in users.iterrows()] 
    results = yield context.task_all(tasks)
    return logging.info('Done.')

main = df.Orchestrator.create(orchestrator_function)

Activity:

import logging
from ast import literal_eval
import pandas as pd

def main(payload:str) -> str: 
    row = literal_eval(payload['user'])
    data = pd.DataFrame(literal_eval(payload['data']))    
    logging.info(row)
    logging.info(data)