Jobs API

Last Updated: December 27, 2018

The Jobs API provides a way for your app to run asynchronous tasks (meaning that after starting a task you don't have to wait for it to finish before moving on). As an example, you may need to run a model that takes a long time (potentially hours or days) to complete. Using the Jobs API you can create a job that will run the model, and then leave it to run while your app moves on and does other stuff. You can check the job's status at any time, and when the job is done the Jobs API will help retrieve the results.

Key Concepts

To facilitate interacting with jobs asynchronously, the details of the jobs are stored in a database. The Jobs API provides a job manager to handle the details of working with the database, and provides a simple interface for creating and retrieving jobs. The Jobs API supports various types of jobs (see Job Types).

See also

The Condor Job and the Condor Workflow job types use the CondorPy library to submit jobs to HTCondor compute pools. For more information on CondorPy and HTCondor see the CondorPy documentation and specifically the Overview of HTCondor.

The Dask Job uses the Dask Distributed python library to automatically parallelize your Python code and run them on a distributed cluster of workers. For more information on Dask, see: Dask and Dask Distributed documentation.

Job Manager

The Job Manager is used in your app to interact with the jobs database. It facilitates creating and querying jobs.

Using the Job Manager in your App

To use the Job Manager in your app you first need to import the TethysAppBase subclass from the app.py module:

from app import MyFirstApp as app

You can then get the job manager by calling the method get_job_manager on the app.

job_manager = app.get_job_manager()

You can now use the job manager to create a new job, or retrieve an existing job or jobs.

Creating and Executing a Job

To create a new job call the create_job method on the job manager. The required arguments are:

  • name: A unique string identifying the job
  • user: A user object, usually from the request argument: request.user
  • job_type: A string specifying on of the supported job types (see Job Types)

Any other job attributes can also be passed in as kwargs.

# get the path to the app workspace to reference job files
app_workspace = app.get_app_workspace().path

# create a new job from the job manager
job = job_manager.create_job(
    name='myjob_{id}',  # required
    user=request.user,  # required
    job_type='CONDOR',  # required

    # any other properties can be passed in as kwargs
    attributes=dict(attribute1='attr1'),
    condorpy_template_name='vanilla_transfer_files',
    remote_input_files=(
        os.path.join(app_workspace, 'my_script.py'),
        os.path.join(app_workspace, 'input_1'),
        os.path.join(app_workspace, 'input_2')
    )
)

# properties can also be added after the job is created
job.extended_properties = {'one': 1, 'two': 2}

# each job type may provided methods to further specify the job
job.set_attribute('executable', 'my_script.py')

# save or execute the job
job.save()
# or
job.execute()

Before a controller returns a response the job must be saved or else all of the changes made to the job will be lost (executing the job automatically saves it). If submitting the job takes a long time (e.g. if a large amount of data has to be uploaded to a remote scheduler) then it may be best to use AJAX to execute the job.

Tip

The Jobs Table Gizmo has a built-in mechanism for submitting jobs with AJAX. If the Jobs Table Gizmo is used to submit the jobs then be sure to save the job after it is created.

Job Types

The Jobs API is designed to support multiple job types. Each job type provides a different framework and environment for executing jobs. When creating a new job you must specify its type by passing in the job_type argument. Currently the supported job types are:

  • 'BASIC'
  • 'CONDOR' or 'CONDORJOB'
  • 'CONDORWORKFLOW'

Additional job attributes can be passed into the create_job method of the job manager or they can be specified after the job is instantiated. All jobs have a common set of attributes, and then each job type may add additional attributes.

The following attributes can be defined for all job types:

  • name (string, required): a unique identifier for the job. This should not be confused with the job template name. The template name identifies a template from which jobs can be created and is set when the template is created. The job name attribute is defined when the job is created (see Creating and Executing a Job).
  • description (string): a short description of the job.
  • workspace (string): a path to a directory that will act as the workspace for the job. Each job type may interact with the workspace differently. By default the workspace is set to the user's workspace in the app that is creating the job.
  • extended_properties (dict): a dictionary of additional properties that can be used to create custom job attributes.

All job types also have the following read-only attributes:

  • user (User): the user who created the job.

  • label (string): the package name of the Tethys App used to created the job.

  • creation_time (datetime): the time the job was created.

  • execute_time (datetime): the time that job execution was started.

  • start_time (datetime):

  • completion_time (datetime): the time that the job status changed to 'Complete'.

  • status (string): a string representing the state of the job. Possible statuses are:

    • 'Pending'
    • 'Submitted'
    • 'Running'
    • 'Results-Ready'
    • 'Complete'
    • 'Error'
    • 'Aborted'
    • 'Various'*
    • 'Various-Complete'*

    *used for job types with multiple sub-jobs (e.g. CondorWorkflow).

Specific job types may define additional attributes. The following job types are available.

Retrieving Jobs

Two methods are provided to retrieve jobs: list_jobs and get_job. Jobs are automatically filtered by app. An optional user parameter can be passed in to these methods to further filter jobs by the user.

# get list of all jobs created in your app
job_manager.list_jobs()

# get list of all jobs created by current user in your app
job_manager.list_jobs(user=request.user)

# get job with id of 27
job_manager.get_job(job_id=27)

# get job with id of 27 only if it was created by current user
job_manager.get_job(job_id=27, user=request.user)

Caution

Be thoughtful about how you retrieve jobs. The user filter is provided to prevent unauthorized users from accessing jobs that don't belong to them.

Jobs Table Gizmo

The Jobs Table Gizmo facilitates job management through the web interface and is designed to be used in conjunction with the Job Manager. It can be configured to list any of the properties of the jobs, and will automatically update the job status, and provides buttons to run, delete, or view job results. The following code sample shows how to use the job manager to populate the jobs table:

job_manager = app.get_job_manager()

jobs = job_manager.list_jobs(request.user)

jobs_table_options = JobsTable(jobs=jobs,
                               column_fields=('id', 'description', 'run_time'),
                               hover=True,
                               striped=False,
                               bordered=False,
                               condensed=False,
                               results_url='my_first_app:results',
                               )

See also

Jobs Table

Job Status Callback

Each job has a callback URL that will update the job's status. The URL is of the form:

http://<host>/update-job-status/<job_id>/

For example, a URL may look something like this:

http://example.com/update-job-status/27/

The output would look something like this:

{"success": true}

This URL can be retrieved from the job manager with the get_job_status_callback_url method, which requires a request object and the id of the job.

job_manager = app.get_job_manager()
callback_url = job_manager.get_job_status_callback_url(request, job_id)

API Documentation

class tethys_compute.job_manager.JobManager(app)

A manager for interacting with the Jobs database providing a simple interface creating and retrieving jobs.

Note

Each app creates its own instance of the JobManager. The get_job_manager method returns the app.

from app import MyApp as app

job_manager = app.get_job_manager()
create_job(name, user, template_name=None, job_type=None, **kwargs)

Creates a new job from a JobTemplate.

Parameters:
  • name (str) -- The name of the job.
  • user (User) -- A User object for the user who creates the job.
  • job_type (TethysJob) -- A subclass of TethysJob.
  • **kwargs --
Returns:

A new job object of the type specified by job_type.

get_job(job_id, user=None, filters=None)

Gets a job by id.

Parameters:
  • job_id (int) -- The id of the job to get.
  • user (User, optional) -- The user to filter the jobs by.
Returns:

A instance of a subclass of TethysJob if a job with job_id exists (and was created by user if the user argument is passed in).

get_job_status_callback_url(request, job_id)

Get the absolute url to call to update job status

list_jobs(user=None, order_by='id', filters=None)

Lists all the jobs from current app for current user.

Parameters:
  • user (User, optional) -- The user to filter the jobs by. Default is None.
  • order_by (str, optional) -- An expression to order jobs. Default is 'id'.
  • filters (dict, optional) -- A list of key-value pairs to filter the jobs by. Default is None.
Returns:

A list of jobs created in the app (and by the user if the user argument is passed in).

class tethys_compute.models.TethysJob(*args, **kwargs)

Base class for all job types. This is intended to be an abstract class that is not directly instantiated.