how to configure hooks on a job?

To configure hooks on a job in Dagster, you can use the

@job

decorator or the

GraphDefinition.to_job

method. Hooks are functions that are triggered by certain events during the execution of a job, such as the success or failure of an op within the job. Here's how you can configure hooks on a job: 1. Define your hook using the

@success_hook

or

@failure_hook

decorators, depending on when you want the hook to be triggered. 2. Apply the hook to a job by passing it to the

hooks

parameter of the

@job

decorator or the

to_job

method. Here is an example from the documentation that shows how to apply a hook to every op within a job:

python from dagster import job, op  @op def my_op():     # Your op logic here     pass  @job(hooks={my_hook}) def my_job():     my_op()

In this example,

my_hook

is a hook that you have previously defined, and it will be applied to every op instance within the

my_job

. When you run this job, you can provide configuration to any resources that the hook might require in the run config. Remember that hooks can also be applied to individual ops within a job if you want more granular control over when hooks are triggered. This can be done by using the

with_hooks

method on an op instance:

python from dagster import job, op  @op def my_op():     # Your op logic here     pass  @job def my_job():     my_op.with_hooks({my_hook})()

In this case,

my_hook

will only be triggered by the execution of

my_op

. For more detailed information on how to define and use hooks, you can refer to the Dagster documentation on hooks and job configuration.

@Scout So I have code like below. Is the hooks part correct? How to define on_failure?

in_process_full_analysis_job = define_asset_job(
    name="in_process_full_analysis",
    config={
        "ops": {"project_settings": {"config": {"project_id": "gq-pjfitz-5row-5ldR3"}}}
    },
    selection=AssetSelection.all(),
    executor_def=in_process_executor,
    hooks=[on_failure],
)

In the code snippet you provided, you are attempting to attach a hook named

on_failure

to an asset job defined with

define_asset_job

. However, to ensure that the

on_failure

hook is correctly defined and used, you need to follow these steps: 1. Define the

on_failure

hook using the

@failure_hook

decorator. This hook will be triggered when an op within the job fails. Here's an example of how you might define an

on_failure

hook:

python from dagster import failure_hook, HookContext  @failure_hook(required_resource_keys={"slack"}) def on_failure(context: HookContext):     # You can access resources in the context like context.resources.slack     message = f"Op {context.op.name} failed!"     # Send a message to Slack or perform other failure handling     context.resources.slack.send_message(message)

2. Attach the hook to your job definition. The

hooks

parameter expects a set of hook definitions, so you need to pass a set containing the

on_failure

hook:

python from dagster import define_asset_job, AssetSelection, in_process_executor  # Assuming on_failure is defined as shown above  in_process_full_analysis_job = define_asset_job(     name="in_process_full_analysis",     config={         "ops": {"project_settings": {"config": {"project_id": "gq-pjfitz-5row-5ldR3"}}}     },     selection=AssetSelection.all(),     executor_def=in_process_executor,     hooks={on_failure},  # Pass the hook as a set )

Make sure that the

on_failure

hook is defined before you use it in the

hooks

parameter, and ensure that it is passed as a set (enclosed in curly braces

{}

) rather than a list. Additionally, if your hook requires resources (like a Slack client in the example), you need to define and provide those resources in your job definition. The

required_resource_keys

parameter in the hook decorator specifies which resources the hook depends on. Please check the Dagster documentation for the most up-to-date and detailed instructions on defining and using hooks with jobs.