def test_workflow_execute_pipelines(self):
context = Context()
context.config['apply_processing_jobs'] = True
context.sm_definitions = None
pipeline_preprocessing = PipeLine(None)
pipeline_preprocessing.run = Mock()
pipeline_processing = PipeLine(None)
pipeline_processing.run = Mock()
workflow = Workflow(pipeline_preprocessing, pipeline_processing)
# Mocking a generator method
sm_filter = MagicMock()
sm_filter.filter_eqs.return_value.__iter__.return_value = \
iter([(dict(a=1), [1]), ((dict(b=2), [2]))])
workflow.start(context, sm_filter)
self.assertTrue(workflow.preprocessing_pipeline.run.called)
self.assertTrue(sm_filter.filter_eqs.called)
self.assertTrue(pipeline_processing.run.called)
self.assertEqual(2, pipeline_processing.run.call_count)
if __name__ == '__main__':
CMD_LINE_ARGS = cmd_line()
if CMD_LINE_ARGS:
INPUT_CONFIG_FILENAME = CMD_LINE_ARGS.input_file[0]
LOG_LEVEL = logging.DEBUG if CMD_LINE_ARGS.detailed else logging.INFO
build_logger(LOG_LEVEL)
CONTEXT = Context(INPUT_CONFIG_FILENAME)
PIPELINE_PREPROCESSING = PreprocessingBuilder().build(CONTEXT.config)
PIPELINE_PROCESSING = ProcessingBuilder().build(CONTEXT.config)
if CONTEXT.config['source_model_file']:
CATALOG_FILTER = CatalogFilter(SourceModelCatalogFilter())
else:
CATALOG_FILTER = CatalogFilter()
WORKFLOW = Workflow(PIPELINE_PREPROCESSING, PIPELINE_PROCESSING)
WORKFLOW.start(CONTEXT, CATALOG_FILTER)
WRITER = AreaSourceWriter(CONTEXT.config['result_file'])
WRITER.serialize(CONTEXT.sm_definitions)
