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#!/usr/bin/env python
# Copyright 2024 Google LLC
#
# Licensed 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.
# [START dataflow_pubsub_write_with_attributes]
import argparse
from typing import Any, Dict, List
import apache_beam as beam
from apache_beam.io import PubsubMessage
from apache_beam.io import WriteToPubSub
from apache_beam.options.pipeline_options import PipelineOptions
from typing_extensions import Self
def item_to_message(item: Dict[str, Any]) -> PubsubMessage:
# Re-import needed types. When using the Dataflow runner, this
# function executes on a worker, where the global namespace is not
# available. For more information, see:
# https://cloud.google.com/dataflow/docs/guides/common-errors#name-error
from apache_beam.io import PubsubMessage
attributes = {
'buyer': item['name'],
'timestamp': str(item['ts'])
}
data = bytes(item['product'], 'utf-8')
return PubsubMessage(data=data, attributes=attributes)
def write_to_pubsub(argv: List[str] = None) -> None:
# Parse the pipeline options passed into the application. Example:
# --topic=$TOPIC_PATH --streaming
# For more information, see
# https://beam.apache.org/documentation/programming-guide/#configuring-pipeline-options
class MyOptions(PipelineOptions):
@classmethod
# Define a custom pipeline option to specify the Pub/Sub topic.
def _add_argparse_args(cls: Self, parser: argparse.ArgumentParser) -> None:
parser.add_argument("--topic", required=True)
example_data = [
{'name': 'Robert', 'product': 'TV', 'ts': 1613141590000},
{'name': 'Maria', 'product': 'Phone', 'ts': 1612718280000},
{'name': 'Juan', 'product': 'Laptop', 'ts': 1611618000000},
{'name': 'Rebeca', 'product': 'Video game', 'ts': 1610000000000}
]
options = MyOptions()
with beam.Pipeline(options=options) as pipeline:
(
pipeline
| "Create elements" >> beam.Create(example_data)
| "Convert to Pub/Sub messages" >> beam.Map(item_to_message)
| WriteToPubSub(
topic=options.topic,
with_attributes=True)
)
print('Pipeline ran successfully.')
# [END dataflow_pubsub_write_with_attributes]
if __name__ == "__main__":
write_to_pubsub()