👀 Views: 89 💬 Answers: 1 📅 Created: 2025-06-20

azure azure-functions python Python

I'm having a hard time understanding Hey everyone, I'm running into an issue that's driving me crazy... I've been banging my head against this for hours. I've looked through the documentation and I'm still confused about I'm working with a timeout scenario while processing messages from Azure Storage Queues using Azure Functions written in Python. I'm leveraging the `azure-functions` library version 1.8.0 and my function is set to a timeout of 5 minutes, but it seems to exceed this limit on occasions, leading to a `FunctionTimeout` behavior. Here’s the relevant code snippet: ```python import logging import azure.functions as func from azure.storage.queue import QueueServiceClient queue_service = QueueServiceClient.from_connection_string('your_connection_string') queue_client = queue_service.get_queue_client('your-queue-name') def main(msg: func.QueueMessage) -> None: logging.info(f'Processing message: {msg.get_body().decode()}') # Simulating a long processing task time.sleep(300) # This is where it exceeds timeout logging.info('Message processed successfully.') ``` I have tried increasing the `FUNCTIONS_WORKER_PROCESS_COUNT` setting to allow more concurrent executions, but it doesn’t seem to help as this timeout still happens for single messages. Furthermore, I have made sure to configure the host.json file with a proper timeout setting: ```json { "functionTimeout": "00:10:00" } ``` Despite increasing the timeout in the host.json, my function still times out. I'm unsure if there's a best practice for long-running tasks in Azure Functions or if there are any specific considerations I should be aware of when using Python for processing messages from Azure Storage Queues. Any guidance would be greatly appreciated! What am I doing wrong? This is part of a larger microservice I'm building. Am I missing something obvious? Has anyone else encountered this?