import unittest

import galaxy.model.mapping
from galaxy import model
from galaxy.workflow import extract

UNDEFINED_JOB = object()


class TestWorkflowExtractSummary( unittest.TestCase ):

    def setUp( self ):
        self.history = MockHistory()
        self.trans = MockTrans( self.history )

    def test_empty_history( self ):
        job_dict, warnings = extract.summarize( trans=self.trans )
        assert not warnings
        assert not job_dict

    def test_summarize_returns_name_and_dataset_list( self ):
        # Create two jobs and three datasets, test they are groupped
        # by job correctly with correct output names.
        hda1 = MockHda()
        self.history.active_datasets.append( hda1 )
        hda2 = MockHda( job=hda1.job, output_name="out2" )
        self.history.active_datasets.append( hda2 )
        hda3 = MockHda( output_name="out3" )
        self.history.active_datasets.append( hda3 )

        job_dict, warnings = extract.summarize( trans=self.trans )
        assert len( job_dict ) == 2
        assert not warnings
        self.assertEquals( job_dict[ hda1.job ], [ ( 'out1', hda1 ), ( 'out2', hda2 ) ] )
        self.assertEquals( job_dict[ hda3.job ], [ ( 'out3', hda3 ) ] )

    def test_finds_original_job_if_copied( self ):
        hda = MockHda()
        derived_hda_1 = MockHda()
        derived_hda_1.copied_from_history_dataset_association = hda
        derived_hda_2 = MockHda()
        derived_hda_2.copied_from_history_dataset_association = derived_hda_1
        self.history.active_datasets.append( derived_hda_2 )
        job_dict, warnings = extract.summarize( trans=self.trans )
        assert not warnings
        assert len( job_dict ) == 1
        self.assertEquals( job_dict[ hda.job ], [ ('out1', derived_hda_2 ) ] )

    def test_fake_job_hda( self ):
        """ Fakes job if creating_job_associations is empty.
        """
        hda = MockHda( job=UNDEFINED_JOB )
        self.history.active_datasets.append( hda )
        job_dict, warnings = extract.summarize( trans=self.trans )
        assert not warnings
        assert len( job_dict ) == 1
        fake_job = job_dict.keys()[ 0 ]
        assert fake_job.id.startswith( "fake_" )
        datasets = job_dict.values()[ 0 ]
        assert datasets == [ ( None, hda ) ]

    def test_fake_job_hdca( self ):
        hdca = MockHdca( )
        self.history.active_datasets.append( hdca )
        job_dict, warnings = extract.summarize( trans=self.trans )
        assert not warnings
        assert len( job_dict ) == 1
        fake_job = job_dict.keys()[ 0 ]
        assert fake_job.id.startswith( "fake_" )
        assert fake_job.is_fake
        content_instances = job_dict.values()[ 0 ]
        assert content_instances == [ ( None, hdca ) ]

    def test_implicit_map_job_hdca( self ):
        creating_job = model.Job()
        hdca = MockHdca( implicit_output_name="out1", job=creating_job )
        self.history.active_datasets.append( hdca )
        job_dict, warnings = extract.summarize( trans=self.trans )
        assert not warnings
        assert len( job_dict ) == 1
        job = job_dict.keys()[ 0 ]
        assert job is creating_job

    def test_warns_and_skips_datasets_if_not_finished( self ):
        hda = MockHda( state='queued' )
        self.history.active_datasets.append( hda )
        job_dict, warnings = extract.summarize( trans=self.trans )
        assert warnings
        assert len( job_dict ) == 0


class MockHistory( object ):

    def __init__( self ):
        self.active_datasets = []

    @property
    def active_contents( self ):
        return self.active_datasets


class MockTrans( object ):

    def __init__( self, history ):
        self.history = history

    def get_history( self ):
        return self.history


class MockHda( object ):

    def __init__( self, state='ok', output_name='out1', job=None ):
        self.id = 123
        self.state = state
        self.copied_from_history_dataset_association = None
        self.history_content_type = "dataset"
        if job is not UNDEFINED_JOB:
            if not job:
                job = model.Job()
            self.job = job
            assoc = model.JobToOutputDatasetAssociation( output_name, self )
            assoc.job = job
            self.creating_job_associations = [ assoc ]
        else:
            self.creating_job_associations = []


class MockHdca( object ):

    def __init__( self, implicit_output_name=None, job=None, hid=1 ):
        self.id = 124
        self.copied_from_history_dataset_collection_association = None
        self.history_content_type = "dataset_collection"
        self.implicit_output_name = implicit_output_name
        self.hid = 1
        self.collection = model.DatasetCollection()
        self.creating_job_associations = []
        element = model.DatasetCollectionElement(
            collection=self.collection,
            element=model.HistoryDatasetAssociation(),
            element_index=0,
            element_identifier="moocow",
        )
        element.dataset_instance.dataset = model.Dataset()
        element.dataset_instance.dataset.state = "ok"
        creating = model.JobToOutputDatasetAssociation(
            implicit_output_name,
            element.dataset_instance,
        )
        creating.job = job
        element.dataset_instance.creating_job_associations = [
            creating,
        ]
        self.collection.elements = [element]