def submit_job(self, job_descriptor, skip_if_output_present):
    """Submit the job (or tasks) to be executed.

    Args:
      job_descriptor: all parameters needed to launch all job tasks
      skip_if_output_present: (boolean) if true, skip tasks whose output
        is present (see --skip flag for more explanation).

    Returns:
      A dictionary containing the 'user-id', 'job-id', and 'task-id' list.
      For jobs that are not task array jobs, the task-id list should be empty.

    Raises:
      ValueError: if job resources or task data contain illegal values.
    """
    # Validate task data and resources.
    param_util.validate_submit_args_or_fail(
        job_descriptor,
        provider_name=_PROVIDER_NAME,
        input_providers=_SUPPORTED_INPUT_PROVIDERS,
        output_providers=_SUPPORTED_OUTPUT_PROVIDERS,
        logging_providers=_SUPPORTED_LOGGING_PROVIDERS)

    # Prepare and submit jobs.
    launched_tasks = []
    requests = []
    for task_view in job_model.task_view_generator(job_descriptor):

      job_params = task_view.job_params
      task_params = task_view.task_descriptors[0].task_params

      outputs = job_params['outputs'] | task_params['outputs']
      if skip_if_output_present:
        # check whether the output's already there
        if dsub_util.outputs_are_present(outputs):
          print('Skipping task because its outputs are present')
          continue

      request = self._build_pipeline_request(task_view)

      if self._dry_run:
        requests.append(request)
      else:
        task_id = self._submit_pipeline(request)
        launched_tasks.append(task_id)

    # If this is a dry-run, emit all the pipeline request objects
    if self._dry_run:
      print(
          json.dumps(
              requests, indent=2, sort_keys=True, separators=(',', ': ')))

    if not requests and not launched_tasks:
      return {'job-id': dsub_util.NO_JOB}

    return {
        'job-id': job_descriptor.job_metadata['job-id'],
        'user-id': job_descriptor.job_metadata['user-id'],
        'task-id': [task_id for task_id in launched_tasks if task_id],
    }
def submit_job(self, job_descriptor, skip_if_output_present):
    """Submit the job (or tasks) to be executed.

    Args:
      job_descriptor: all parameters needed to launch all job tasks
      skip_if_output_present: (boolean) if true, skip tasks whose output
        is present (see --skip flag for more explanation).

    Returns:
      A dictionary containing the 'user-id', 'job-id', and 'task-id' list.
      For jobs that are not task array jobs, the task-id list should be empty.

    Raises:
      ValueError: if job resources or task data contain illegal values.
    """
    # Validate task data and resources.
    param_util.validate_submit_args_or_fail(
        job_descriptor,
        provider_name=_PROVIDER_NAME,
        input_providers=_SUPPORTED_INPUT_PROVIDERS,
        output_providers=_SUPPORTED_OUTPUT_PROVIDERS,
        logging_providers=_SUPPORTED_LOGGING_PROVIDERS)

    # Prepare and submit jobs.
    launched_tasks = []
    requests = []
    for task_view in job_model.task_view_generator(job_descriptor):

      job_params = task_view.job_params
      task_params = task_view.task_descriptors[0].task_params

      outputs = job_params['outputs'] | task_params['outputs']
      if skip_if_output_present:
        # check whether the output's already there
        if dsub_util.outputs_are_present(outputs):
          print('Skipping task because its outputs are present')
          continue

      request = self._build_pipeline_request(task_view)

      if self._dry_run:
        requests.append(request)
      else:
        task_id = self._submit_pipeline(request)
        launched_tasks.append(task_id)

    # If this is a dry-run, emit all the pipeline request objects
    if self._dry_run:
      print(
          json.dumps(
              requests, indent=2, sort_keys=True, separators=(',', ': ')))

    if not requests and not launched_tasks:
      return {'job-id': dsub_util.NO_JOB}

    return {
        'job-id': job_descriptor.job_metadata['job-id'],
        'user-id': job_descriptor.job_metadata['user-id'],
        'task-id': [task_id for task_id in launched_tasks if task_id],
    }
def submit_job ( self , job_descriptor , skip_if_output_present ) : # Validate task data and resources. param_util . validate_submit_args_or_fail ( job_descriptor , provider_name = _PROVIDER_NAME , input_providers = _SUPPORTED_INPUT_PROVIDERS , output_providers = _SUPPORTED_OUTPUT_PROVIDERS , logging_providers = _SUPPORTED_LOGGING_PROVIDERS ) # Prepare and submit jobs. launched_tasks = [ ] requests = [ ] for task_view in job_model . task_view_generator ( job_descriptor ) : job_params = task_view . job_params task_params = task_view . task_descriptors [ 0 ] . task_params outputs = job_params [ 'outputs' ] | task_params [ 'outputs' ] if skip_if_output_present : # check whether the output's already there if dsub_util . outputs_are_present ( outputs ) : print ( 'Skipping task because its outputs are present' ) continue request = self . _build_pipeline_request ( task_view ) if self . _dry_run : requests . append ( request ) else : task_id = self . _submit_pipeline ( request ) launched_tasks . append ( task_id ) # If this is a dry-run, emit all the pipeline request objects if self . _dry_run : print ( json . dumps ( requests , indent = 2 , sort_keys = True , separators = ( ',' , ': ' ) ) ) if not requests and not launched_tasks : return { 'job-id' : dsub_util . NO_JOB } return { 'job-id' : job_descriptor . job_metadata [ 'job-id' ] , 'user-id' : job_descriptor . job_metadata [ 'user-id' ] , 'task-id' : [ task_id for task_id in launched_tasks if task_id ] , }
Submit the job (or tasks) to be executed.

    Args:
      job_descriptor: all parameters needed to launch all job tasks
      skip_if_output_present: (boolean) if true, skip tasks whose output
        is present (see --skip flag for more explanation).

    Returns:
      A dictionary containing the 'user-id', 'job-id', and 'task-id' list.
      For jobs that are not task array jobs, the task-id list should be empty.

    Raises:
      ValueError: if job resources or task data contain illegal values.
Submit the job ( or tasks ) to be executed .