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main.py
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main.py
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#
# 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 collections
import yaml
import apache_beam as beam
from apache_beam.yaml import yaml_transform
from apache_beam.yaml import yaml_provider
def run(argv=None):
# Do imports here to avoid main session issues.
parser = argparse.ArgumentParser()
parser.add_argument('--pipeline_spec')
parser.add_argument('--pipeline_spec_file')
known_args, pipeline_args = parser.parse_known_args(argv)
if known_args.pipeline_spec_file:
with open(known_args.pipeline_spec_file) as fin:
known_args.pipeline_spec = fin.read()
if known_args.pipeline_spec:
pipeline_spec = yaml.load(
known_args.pipeline_spec, Loader=yaml_transform.SafeLineLoader)
else:
raise ValueError(
"Exactly one of pipeline_spec or pipeline_spec_file must be set.")
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()