@Marvin I try to add an automation via the Prefect UI. The goals is to call a custom webhook when a flow enters failing state. However, I'm unable to set json data to send to the webhook in the UI. It only shows the option to add a subject and body

It seems you are using Prefect 3.x based on the documentation references. In Prefect 3.x, webhook configurations can be created and managed through the Prefect Cloud UI, API, or CLI. Unfortunately, the Prefect UI currently allows you to set only the subject and body for webhook notifications and does not provide a direct way to embed JSON data through its interface. If your goal is to send more detailed data in the webhook, you may need to employ a workaround. One such method is to use Prefect's Python API or CLI to create the webhook programmatically, where you can specify more complex JSON payloads. Here's more information on configuring webhooks in Prefect 3.x: - Receive events with webhooks If these options do not meet your needs, consider implementing custom state change hooks in your flows, as shown in the example of sending notifications when a flow run fails. This can be done using Prefect's Python capabilities, though it may require additional setup outside the UI. For further assistance or feature requests related to the UI, you might want to check Prefect's GitHub for any ongoing discussions or existing feature requests.

@Marvin Can you provide me with an example on how to achieve this with the Python API?

To create and manage webhooks using the Prefect Python API in Prefect 3.x, you can use the Webhooks API endpoints. Below is a conceptual example of how you might set this up, considering that detailed information might be found in the Prefect Webhooks documentation or API references: Here's a simplified example of using the Python API: To interact with the Prefect Cloud API, you would typically need: 1. An authenticated API client setup using your Prefect Cloud credentials. 2. API endpoints specific to creating and managing webhooks.

python
# Example of setting up a webhook using Prefect APIs

import requests

def create_webhook(api_key, workspace, name, description, event, resource_id):
    url = f"<https://api.prefect.cloud/{workspace}/webhooks/>"
    headers = {
        'Authorization': f"Bearer {api_key}",
        'Content-Type': 'application/json'
    }
    data = {
        "name": name,
        "description": description,
        "template": {
            "event": event,
            "resource": {
                "prefect.resource.id": resource_id
            }
        },
    }

    response = <http://requests.post|requests.post>(url, json=data, headers=headers)
    
    if response.status_code == 201:
        print(f"Webhook '{name}' created successfully!")
    else:
        print("Error creating webhook:", response.content)

# Replace with your actual API key, workspace, etc.
api_key = "your-prefect-cloud-api-key"
workspace = "your-workspace-id"
create_webhook(api_key, workspace, "My Webhook", 
               "Receives webhooks from your system", 
               "your.event.name", "your.resource.id")

You will need to replace placeholders like

api_key

,

workspace

,

name

,

description

,

event

, and

resource_id

with actual values relevant to your Prefect environment. For more details on setting up and managing webhooks with the Prefect API, you might refer to their documentation: Creating webhooks with Prefect API If further customization is required that isn't covered by their existing API, checking Prefect's GitHub or filing a feature request might be beneficial.

@Marvin When I create an automation using the Python API it doesn't show up in the UI

It seems like your issue might not be directly documented in the current GitHub issues for Prefect. However, there are some related issues that could potentially influence this behavior. One specific issue noted involves discrepancies in UI updates where the flow or automation states don't accurately reflect their true state due to underlying synchronization issues with the database or server state. To address the issue where automations created via the Python API do not appear in the Prefect UI, you may want to consider the following steps: 1. Ensure Proper API Usage: Double-check that your API calls to create the automation are successful and that they include all required parameters. It's possible that if any parameter is missing or incorrect, it could lead to inconsistencies. 2. Verify Authentication: Make sure that the API calls are authenticated properly and that the workspace being used corresponds to the one you are checking in the UI. 3. Refresh and Check UI: Sometimes the UI may not automatically refresh to reflect recent changes made via API. Try refreshing your browser or logging out and back into the Prefect Cloud UI. 4. Check Logs and Responses: Look into any logs or API response messages for errors or warnings that might indicate why the automation is not showing up. 5. GitHub & Community: Even though a specific GitHub issue wasn't found, keeping an eye on GitHub for new issues or updates might be beneficial. Additionally, reaching out on Prefect's community forums or Slack channel may provide quicker insights from other users who might have faced similar issues. 6. Potential Workarounds: As noted in related issues, some users have resorted to creating periodic checks via additional flows or scripts to ensure that the desired state or configuration is applied correctly. If the issue persists, you might consider filing a new issue on Prefect's GitHub to get more targeted assistance from the maintainers and developers.

@Marvin Even when I create an automation via the UI it doesn't show up afterwards

It seems there are no existing GitHub issues directly related to automations not appearing in the UI after creation. Here are a few steps you might take to address the problem: 1. Refresh the UI: Sometimes, UI elements might not update immediately. Make sure to refresh your browser or log out and back into Prefect Cloud to see if the automations show up. 2. Check User Permissions: Verify that your account has the necessary permissions to view or manage automations. Depending on your organization's settings, certain roles might restrict visibility or modification of automations. 3. Review Recent Changes: If the Prefect UI or your environment recently underwent updates or changes, they might introduce unexpected behaviors. Checking release notes or community discussions might reveal if others encounter similar issues. 4. Use Different Browsers: Occasionally, browser-specific issues could cause UI elements not to display properly. Try accessing the Prefect UI from a different browser. 5. Contact Support: Since there are no existing public issues, consider reaching out to Prefect support or using their forums. They can provide more personalized assistance and might be aware of undocumented issues. 6. File a New GitHub Issue: If you're continuously experiencing the issue without any feedback from these steps, you may wish to file a new issue on Prefect's GitHub repository, providing as many details as possible for them to investigate. Taking these steps should help identify or resolve the issue with the automations not appearing in the Prefect UI.