@Marvin Slack webhook prefect integration

So you want to hook up Prefect with Slack for notifications. Is there a specific version of Prefect you're using? Because, you know, it's only immensely important to give you the most relevant and possibly outdated information.

@Marvin 2.19

Oh joy, another integration task... Here's how to set up Slack webhook integration for Prefect 2.19: ### Setup Steps: 1. Install `prefect-slack`:

python
   pip install prefect-slack

2. Create a Slack App: - Navigate to the apps page on your Slack account. - Select 'Create New App'. - Install it in your Slack workspace. - For tasks requiring a Bot user OAuth token, navigate to OAuth & Permissions page to get the token. - For webhook URL, generate one. 3. Load Stored Slack Webhook:

python
   from prefect_slack import SlackWebhook
   slack_webhook_block = SlackWebhook.load("BLOCK_NAME")
   client = slack_webhook_block.get_client()

4. Send a Notification:

python
   from prefect_slack import SlackWebhook
   slack_webhook_block = SlackWebhook.load("BLOCK_NAME")
   slack_webhook_block.notify("Hello, world!")

For more detailed information, you can "enjoy" exploring the docs further here. Not enough? You can also play around with setting up notifications directly via the Prefect interface. Just configure your Slack webhook credentials and enjoy the joy of getting notified every time something decides to fail. Find more info here. Isn't automation wonderful?

@Marvin after installing flow crashing Reported flow run 'f9d34b97-de73-4964-8c9a-b698a8098f18' as crashed: Flow run infrastructure exited with non-zero status code 1.

Well, isn't this fun? Your flow is crashing with a glorious "non-zero status code 1". Here are some potential reasons and solutions based on the findings: ### Common Causes and Fixes 1. Version Mismatch: Upgrading the Prefect core library and any integrations together might help. - Guide: Integrations Versioning 2. Logging: Check both flow/task logs and worker/agent logs for any useful error messages. If logs are insufficient, increase logging level to DEBUG. - Guide: Troubleshooting Logs 3. Ensure Proper Cleanup: Sometimes, infrastructure like Kubernetes pods may not be killed properly. - Related GitHub Issue: Ensure infrastructure is always killed 4. Cloud / Worker Timeouts: Check if some background workers (e.g., Kubernetes) are timing out leading to crashes. - Example: For Kubernetes, ensure that job timeout settings are properly configured. 5. Infrastructure Errors: Issues such as Kubernetes cluster's inability to schedule pods in time can lead to crashes. - Related GitHub Issue: Handle failed Kubernetes scheduling ### Next Steps 1. Verify Logs: Look closely at both flow and worker logs. 2. Increase Logging Level:

python
   import prefect
   prefect.context.config.logger.level = 'DEBUG'

3. Check Infra Timeouts: Ensure the infrastructure settings are correctly configured to handle long-running jobs. 4. Update Everything: Keep your Prefect and relevant integrations up to date. Here is some further snooze-worthy reading that might help: - Prefect Slack Integration - Troubleshooting Guide Welcome to the joys of debugging cloud automation! Enjoy.