Exemplo n.º 1
0
  def close_tasks(self,
                  instance,
                  project,
                  region,
                  request_id=None,
                  task_id=None,
                  user=None,
                  requester=None):
    """Close Turbinia Tasks based on Request ID.

    Args:
      instance (string): The Turbinia instance name (by default the same as the
          INSTANCE_ID in the config).
      project (string): The name of the project.
      region (string): The name of the zone to execute in.
      request_id (string): The Id of the request we want tasks for.
      task_id (string): The Id of the request we want task for.
      user (string): The user of the request we want tasks for.
      requester (string): The user making the request to close tasks.

    Returns: String of closed Task IDs.
    """
    cloud_function = GoogleCloudFunction(project_id=project, region=region)
    func_args = {
        'instance': instance,
        'kind': 'TurbiniaTask',
        'request_id': request_id,
        'task_id': task_id,
        'user': user,
        'requester': requester
    }
    response = cloud_function.ExecuteFunction('closetasks', func_args)
    return 'Closed Task IDs: %s' % response.get('result')
Exemplo n.º 2
0
  def get_task_data(self,
                    instance,
                    project,
                    region,
                    days=0,
                    task_id=None,
                    request_id=None,
                    user=None,
                    function_name='gettasks'):
    """Gets task data from Google Cloud Functions.

    Args:
      instance (string): The Turbinia instance name (by default the same as the
          INSTANCE_ID in the config).
      project (string): The name of the project.
      region (string): The name of the region to execute in.
      days (int): The number of days we want history for.
      task_id (string): The Id of the task.
      request_id (string): The Id of the request we want tasks for.
      user (string): The user of the request we want tasks for.
      function_name (string): The GCF function we want to call

    Returns:
      List of Task dict objects.
    """
    cloud_function = GoogleCloudFunction(project_id=project, region=region)
    func_args = {'instance': instance, 'kind': 'TurbiniaTask'}

    if days:
      start_time = datetime.now() - timedelta(days=days)
      # Format this like '1990-01-01T00:00:00z' so we can cast it directly to a
      # javascript Date() object in the cloud function.
      start_string = start_time.strftime('%Y-%m-%dT%H:%M:%S')
      func_args.update({'start_time': start_string})
    elif task_id:
      func_args.update({'task_id': task_id})
    elif request_id:
      func_args.update({'request_id': request_id})

    if user:
      func_args.update({'user': user})

    response = cloud_function.ExecuteFunction(function_name, func_args)
    if 'result' not in response:
      log.error('No results found')
      if response.get('error', '{}') != '{}':
        msg = 'Error executing Cloud Function: [{0!s}].'.format(
            response.get('error'))
        log.error(msg)
      log.debug('GCF response: {0!s}'.format(response))
      raise TurbiniaException(
          'Cloud Function {0:s} returned no results.'.format(function_name))

    try:
      results = json.loads(response['result'])
    except (TypeError, ValueError) as e:
      raise TurbiniaException(
          'Could not deserialize result from GCF: [{0!s}]'.format(e))

    return results[0]