Jobs with DIRAC Python API

The DIRAC API is encapsulated in several Python classes designed to be used easily by users to access a large fraction of the DIRAC functionality. Using the API classes it is easy to write small scripts or applications to manage user jobs and data.

While it may be exploited directly by users, the DIRAC API also serves as the interface for the Ganga Grid front-end to perform distributed user analysis for LHCb, for example.

The DIRAC API provide several advantages for the users, those advantages are enumerated below:

  • Provides a transparent and secure way for users to submit jobs to the grid.

  • Allow to debug locally the programs before be submitted to the Grid.

  • A simple, seamless interface to Grid resources allows to run single applications or multiple steps of different applications.

  • The user can perform an analysis using understandable Python code.

  • Using local job submission the job executable is run locally in exactly the same way ( same input, same output ) as it will do on the Grid Worker Node. This allows to debug the job in a friendly local environment.

  • Using local submission mode the user can check the sanity of the job before submission to the Grid.

  • All the DIRAC API commands may also be executed directly from the Python prompt.

  • Between others advantages.

Creating a DIRAC Job using API

The API allows creating DIRAC jobs using the Job object, specifying job requirements

# setup DIRAC
from DIRAC import initialize


from DIRAC.Interfaces.API.Job import Job
from DIRAC.Interfaces.API.Dirac import Dirac

dirac = Dirac()
j = Job()

j.setExecutable('/bin/echo hello')
j.setExecutable('/bin/echo hello again')

jobID = dirac.submitJob(j)
print('Submission Result: ', jobID)

In this example, the job has tree steps from different applications: echo, hostname and echo again.

Submitting jobs

To submit the job is just send the job using the script:

$ python
2010-10-20 12:05:49 UTC  INFO: <=====DIRAC v5r10-pre2=====>
2010-10-20 12:05:49 UTC  INFO: Will submit job to WMS
{'OK': True, 'Value': 196}

The script output must return the jobID, this is useful for keeping track of your job IDs.

Job Monitoring

Once you have submitted your jobs to the Grid, a little script can be used to monitor the job status

# setup DIRAC
from DIRAC import initialize


from DIRAC.Interfaces.API.Dirac import Dirac
import sys
dirac = Dirac()
jobid = sys.argv[1]

Run it like this:

python <Job_ID>

$python 196
{'OK': True, 'Value': {196: {'Status': 'Done', 'MinorStatus': 'Execution Complete', 'Site': ''}}}

The script output is going to return the status, minor status and the site where the job was executed.

Job Output

When the status of the job is done, the outputs can be retrieved using also a simple script:

import sys

from DIRAC import initialize


from DIRAC.Interfaces.API.Dirac import Dirac

dirac = Dirac()
jobid = sys.argv[1]

And, executing the script:

$ python <Job_ID>

The job output is going to create a directory with the jobID and the output files will be stored inside this directory.