text: import tempfile
  from __init__ import ToolAction
  from galaxy.util.odict import odict
  from galaxy.tools.imp_exp import *
  
  import logging
  log = logging.getLogger( __name__ )
  
  class ImportHistoryToolAction( ToolAction ):
      """Tool action used for importing a history to an archive. """
  
      def execute( self, tool, trans, incoming = {}, set_output_hid = False, overwrite = True, history=None, **kwargs ):
          #
          # Create job.
          #
          job = trans.app.model.Job()
          job.session_id = trans.get_galaxy_session().id
          job.history_id = trans.history.id
          job.tool_id = tool.id
          job.user_id = trans.user.id
          start_job_state = job.state #should be job.states.NEW
          job.state = job.states.WAITING #we need to set job state to something other than NEW, or else when tracking jobs in db it will be picked up before we have added input / output parameters
          trans.sa_session.add( job )
          trans.sa_session.flush() #ensure job.id are available
  
          #
          # Setup job and job wrapper.
          #
  
          # Add association for keeping track of job, history relationship.
  
          # Use abspath because mkdtemp() does not, contrary to the documentation,
          # always return an absolute path.
          archive_dir = os.path.abspath( tempfile.mkdtemp() )
          jiha = trans.app.model.JobImportHistoryArchive( job=job, archive_dir=archive_dir )
          trans.sa_session.add( jiha )
          
          #
          # Add parameters to job_parameter table.
          #
  
          # Set additional parameters.
          incoming[ '__DEST_DIR__' ] = jiha.archive_dir
          for name, value in tool.params_to_strings( incoming, trans.app ).iteritems():
              job.add_parameter( name, value )
  
          job.state = start_job_state #job inputs have been configured, restore initial job state
          job.set_handler(tool.get_job_handler(None))
          trans.sa_session.flush()
  
          # Queue the job for execution
          trans.app.job_queue.put( job.id, tool.id )
          trans.log_event( "Added import history job to the job queue, id: %s" % str(job.id), tool_id=job.tool_id )
  
          return job, odict()
  
  class ExportHistoryToolAction( ToolAction ):
      """Tool action used for exporting a history to an archive. """
  
      def execute( self, tool, trans, incoming = {}, set_output_hid = False, overwrite = True, history=None, **kwargs ):
          #
          # Get history to export.
          #
          history = None
          for name, value in incoming.iteritems():
              if isinstance( value, trans.app.model.History ):
                  history_param_name = name
                  history = value
                  del incoming[ history_param_name ]
                  break
  
          if not history:
              raise Exception( 'There is no history to export.' )
  
          #
          # Create the job and output dataset objects
          #
          job = trans.app.model.Job()
          job.session_id = trans.get_galaxy_session().id
          job.history_id = trans.history.id
          job.tool_id = tool.id
          if trans.user:
              # If this is an actual user, run the job as that individual.  Otherwise we're running as guest.
              job.user_id = trans.user.id
          start_job_state = job.state #should be job.states.NEW
          job.state = job.states.WAITING #we need to set job state to something other than NEW, or else when tracking jobs in db it will be picked up before we have added input / output parameters
          trans.sa_session.add( job )
  
          # Create dataset that will serve as archive.
          archive_dataset = trans.app.model.Dataset()
          trans.sa_session.add( archive_dataset )
  
          trans.sa_session.flush() #ensure job.id and archive_dataset.id are available
          trans.app.object_store.create( archive_dataset ) # set the object store id, create dataset (if applicable)
  
          #
          # Setup job and job wrapper.
          #
  
          # Add association for keeping track of job, history, archive relationship.
          jeha = trans.app.model.JobExportHistoryArchive( job=job, history=history, \
                                                          dataset=archive_dataset, \
                                                          compressed=incoming[ 'compress' ] )
          trans.sa_session.add( jeha )
  
          job_wrapper = JobExportHistoryArchiveWrapper( job )
          cmd_line = job_wrapper.setup_job( trans, jeha, include_hidden=incoming[ 'include_hidden' ], \
                                              include_deleted=incoming[ 'include_deleted' ] )
  
          #
          # Add parameters to job_parameter table.
          #
  
          # Set additional parameters.
          incoming[ '__HISTORY_TO_EXPORT__' ] = history.id
          incoming[ '__EXPORT_HISTORY_COMMAND_INPUTS_OPTIONS__' ] = cmd_line
          for name, value in tool.params_to_strings( incoming, trans.app ).iteritems():
              job.add_parameter( name, value )
  
          job.state = start_job_state #job inputs have been configured, restore initial job state
          job.set_handler(tool.get_job_handler(None))
          trans.sa_session.flush()
  
  
          # Queue the job for execution
          trans.app.job_queue.put( job.id, tool.id )
          trans.log_event( "Added export history job to the job queue, id: %s" % str(job.id), tool_id=job.tool_id )
  
          return job, odict()
  