Source code for apache_beam.io.gcp.pubsub_it_pipeline

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"""
Test pipeline for use by pubsub_integration_test.
"""

# pytype: skip-file

import argparse

import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import StandardOptions


[docs]def run_pipeline(argv, with_attributes, id_label, timestamp_attribute): """Build and run the pipeline.""" parser = argparse.ArgumentParser() parser.add_argument( '--output_topic', required=True, help=( 'Output PubSub topic of the form ' '"projects/<PROJECT>/topic/<TOPIC>".')) parser.add_argument( '--input_subscription', required=True, help=( 'Input PubSub subscription of the form ' '"projects/<PROJECT>/subscriptions/<SUBSCRIPTION>."')) known_args, pipeline_args = parser.parse_known_args(argv) pipeline_options = PipelineOptions(pipeline_args) pipeline_options.view_as(StandardOptions).streaming = True p = beam.Pipeline(options=pipeline_options) runner_name = type(p.runner).__name__ # Read from PubSub into a PCollection. if runner_name == 'TestDirectRunner': messages = p | beam.io.ReadFromPubSub( subscription=known_args.input_subscription, with_attributes=with_attributes, timestamp_attribute=timestamp_attribute) else: messages = p | beam.io.ReadFromPubSub( subscription=known_args.input_subscription, id_label=id_label, with_attributes=with_attributes, timestamp_attribute=timestamp_attribute) def add_attribute(msg, timestamp=beam.DoFn.TimestampParam): msg.data += b'-seen' msg.attributes['processed'] = 'IT' if timestamp_attribute in msg.attributes: msg.attributes[timestamp_attribute + '_out'] = timestamp.to_rfc3339() return msg def modify_data(data): return data + b'-seen' if with_attributes: output = messages | 'add_attribute' >> beam.Map(add_attribute) else: output = messages | 'modify_data' >> beam.Map(modify_data) # Write to PubSub. if runner_name == 'TestDirectRunner': _ = output | beam.io.WriteToPubSub( known_args.output_topic, with_attributes=with_attributes) else: _ = output | beam.io.WriteToPubSub( known_args.output_topic, id_label=id_label, with_attributes=with_attributes, timestamp_attribute=timestamp_attribute) result = p.run() result.wait_until_finish()