Source code for apache_beam.yaml.main

#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

import argparse

import yaml

import apache_beam as beam
from apache_beam.yaml import yaml_transform


[docs]def run(argv=None): parser = argparse.ArgumentParser() parser.add_argument( '--pipeline_spec', description='A yaml description of the pipeline to run.') parser.add_argument( '--pipeline_spec_file', description='A file containing a yaml description of the pipeline to run.' ) known_args, pipeline_args = parser.parse_known_args(argv) if known_args.pipeline_spec_file and known_args.pipeline_spec: raise ValueError( "Exactly one of pipeline_spec or pipeline_spec_file must be set.") elif known_args.pipeline_spec_file: with open(known_args.pipeline_spec_file) as fin: pipeline_yaml = fin.read() elif known_args.pipeline_spec: pipeline_yaml = known_args.pipeline_spec else: raise ValueError( "Exactly one of pipeline_spec or pipeline_spec_file must be set.") pipeline_spec = yaml.load(pipeline_yaml, Loader=yaml_transform.SafeLineLoader) yaml_transform._LOGGER.setLevel('INFO') with beam.Pipeline(options=beam.options.pipeline_options.PipelineOptions( pipeline_args, pickle_library='cloudpickle', **pipeline_spec.get('options', {}))) as p: print("Building pipeline...") yaml_transform.expand_pipeline(p, known_args.pipeline_spec) print("Running pipeline...")
if __name__ == '__main__': run()