示例#1
0
    def test_pypeline__two_chained_pipelines_mock_functions__expected_correctly_value(
            self):
        # FIXTURE
        expected = object()
        test_method = Mock(return_value=expected)
        sub_pipeline = Pypeline().append(test_method,
                                         'first',
                                         'second',
                                         third='third').append(
                                             test_method, something_else=True)
        pipeline = Pypeline().append_context(sub_pipeline).append_context(
            sub_pipeline)

        # EXERCISE
        result = pipeline.do()

        # VERIFY
        self.assertIsNone(result)
        self.assertEqual(4, test_method.call_count)
        # first
        self.assertEqual(call('first', 'second', third='third'),
                         test_method.mock_calls[0])
        self.assertEqual(call(expected, something_else=True),
                         test_method.mock_calls[1])
        self.assertEqual(call('first', 'second', third='third'),
                         test_method.mock_calls[2])
        self.assertEqual(call(expected, something_else=True),
                         test_method.mock_calls[3])
示例#2
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    def test_pypeline__two_chained_simple_functions_arg_list__expected_correctly_value(
            self):
        # FIXTURE
        pipeline = Pypeline().append(math.pow, 2, 2).append(operator.add, 5)

        # EXERCISE
        result = pipeline.do()

        # VERIFY
        self.assertEqual(9, result)  # add(pow(2**2), 5)
示例#3
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    def test_pypeline__two_chained_simple_functions_kwargs_and_arg_list__expected_correctly_value(
            self):
        # FIXTURE
        pow = lambda x, y: math.pow(x, y)  # pow take no kwarg
        add = lambda a, b: operator.add(a, b)  # add take no kwargs

        pipeline = Pypeline().append(pow, 2, y=2).append(add, 5)

        # EXERCISE
        result = pipeline.do()

        # VERIFY
        self.assertEqual(9, result)  # add(pow(2,y=2), 5)
#!/usr/bin/env python
from pypeline import Pypeline, ProcessPypeStep, PythonPypeStep

if __name__ == '__main__' :

    pipeline = Pypeline(log='simple_example.log', ignore_failure=True)

    steps = []

    # step 1 - list the current directory
    ls_fn = 'ls_out.txt'
    steps.append(ProcessPypeStep('Get directory file list','ls -1d > %s'%ls_fn))

    # step 2 - do a word count
    wc_fn = 'wc_out.txt'
    steps.append(ProcessPypeStep('Get wordcount','wc %s > %s'%(ls_fn,wc_fn)))

    # step 3 - sort the file and output
    steps.append(ProcessPypeStep('Sort wordcount','sort -n %s'%wc_fn))

    # step 4 - cleanup files
    def rm_stuff() :
        import glob
        from subprocess import call
        txt_fns = glob.glob('*.txt')
        for fn in txt_fns :
            call('rm %s'%fn,shell=True)
        return True
    steps.append(PythonPypeStep('Cleanup',rm_stuff))

    # step 5 - intentionally fail
    control_fn = None
    if len(args) > 3 :
        control_fn = args[2]

    org_settings = get_org_settings(organism)
    refseq_fn = org_settings['annotation_path']

    exp_fpath,exp_fname,exp_fbase,exp_fext = get_file_parts(experiment_fn)
    exp_wrk_dir = os.path.abspath('.exp_%s_%s'%(exp_fbase,opts.exp_name))

    if control_fn :
        cnt_fpath,cnt_fname,cnt_fbase,cnt_fext = get_file_parts(control_fn)
        cnt_wrk_dir = os.path.abspath('.cnt_%s_%s'%(cnt_fbase,opts.exp_name))

    # the pipeline
    pipeline = Pypeline()

    steps = []

    # split up files
    calls = ["mkdir %s"%exp_wrk_dir,
             "split_file.py %s --outdir=%s %s"%(opts.split_args,exp_wrk_dir,experiment_fn),]
    if control_fn :
            calls.extend(["mkdir %s"%cnt_wrk_dir,
             "split_file.py %s --outdir=%s %s"%(opts.split_args,cnt_wrk_dir,control_fn),
            ])
    steps.append(PPS('Split files',calls,env=os.environ))

    # convert to BED format
    exp_bed_fn = "%s_exp.bed"%exp_fbase
    calls = ["split_qsub.py %s --ext=.bed gerald_to_bed.py --util-args=\"%s\" %s/*.[0-9][0-9][0-9][0-9]"%(opts.qsub_args,opts.bed_args,exp_wrk_dir),
示例#6
0
    org_settings = get_org_settings(organism)
    refgene_fn = org_settings['refgene_anno_path']
    kg_ref = org_settings['known_gene_anno_path']
    kg_xref = org_settings['known_gene_xref_path']

    exp_fpath,exp_fname,exp_fbase,exp_fext = get_file_parts(experiment_fn)
    exp_wrk_dir = os.path.abspath('.exp_%s_%s'%(exp_fbase,opts.exp_name))

    if control_fn :
        cnt_fpath,cnt_fname,cnt_fbase,cnt_fext = get_file_parts(control_fn)
        cnt_wrk_dir = os.path.abspath('.cnt_%s_%s'%(cnt_fbase,opts.exp_name))

    # the pipeline
    #log_fn = os.path.join(opts.exp_name+'_pipeline.log')
    pipeline = Pypeline('Analysis pipeline for %s'%opts.exp_name)

    steps = []

    #if opts.parallelize :
    #    # split up files
    #    calls = ["mkdir %s"%exp_wrk_dir,
    #             "split_file.py %s --outdir=%s %s"%(opts.split_args,exp_wrk_dir,experiment_fn),]
    #    if control_fn :
    #            calls.extend(["mkdir %s"%cnt_wrk_dir,
    #             "split_file.py %s --outdir=%s %s"%(opts.split_args,cnt_wrk_dir,control_fn),
    #            ])
    #    steps.append(PPS('Split files',calls,env=os.environ))

    ############################################################################
    # run macs