#
# 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()