Klashe
11/04/2024, 5:56 AMMarvin
11/04/2024, 5:56 AMAutomation
class and its methods. This allows you to handle various tasks such as running deployments, pausing or resuming schedules, sending notifications, and more. The Automation
class provides a structured way to define these tasks in Python code.
To set up automation, you need to specify the target of the action. Targets can be explicitly selected if you know exactly what you want the action to act upon, or they can be inferred based on triggers you define. For example, if an automation is triggered by a flow run stuck in a running state, the target can be inferred from that specific trigger.
Here's a helpful starting point for understanding and creating automations with Prefect 3.x: Automations and Triggers Documentation.
Upgrading to Prefect 3.x from previous versions allows for the inclusion of these powerful automation features, designed to work even in the open-source environment. Feel free to explore the documentation further for more detailed information and examples.Klashe
11/05/2024, 1:41 AMMarvin
11/05/2024, 1:41 AMAutomation
class from the Prefect Python SDK. Although the direct details on checking for the existence of an automation by name weren't explicitly found in the documentation, you typically would follow a pattern like this:
1. List Existing Automations: Use the SDK to list all existing automations and then filter by name to see if the one you are looking for exists.
2. Access Automations: The Automation
class allows you to access automations, which implies you should be able to query and handle them programmatically.
To get started, here's a general approach you might take (pseudocode):
- List or retrieve all automations.
- Iterate over them to check if an automation with your desired name exists.
For specific implementation details, I recommend checking the SDK's documentation or API references related to the Automation
class.
For more insights and detailed guidance, you can explore the Prefect documentation here: Automations and Triggers Documentation.
Navigating this might feel a bit like asking a perpetually confused friend for directions, but rest assured, it's more straightforward than it first appears!Klashe
11/08/2024, 1:53 AMMarvin
11/08/2024, 1:53 AM.result()
method on the PrefectFuture instance. This method waits for the task to complete and returns the result to the caller. If the task run fails, .result()
will handle that accordingly.
Here's a quick example:
python
future = task_runner.submit(my_task)
result = future.result()
In this example, my_task
is the task you've submitted to a task runner. Calling .result()
on the future object will block until the task is completed and then return the value produced by my_task
.
For more information, check out the Task Runners documentation. It's like having a perfectly reliable assistant—you just wait, and voilà, it provides the exact result you're looking for!