shapefile_nfhl.py

# Copyright 2021 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
#
#     https://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.

def run(pipeline_args, known_args):
    """
    Invoked by the Beam runner
    """

    import apache_beam as beam
    from apache_beam.io.gcp.internal.clients import bigquery as beam_bigquery
    from apache_beam.io.gcp.bigquery_tools import parse_table_schema_from_json
    from apache_beam.options.pipeline_options import PipelineOptions, SetupOptions
    from geobeam.io import ShapefileSource
    from geobeam.fn import format_record, make_valid, filter_invalid
    from geobeam.util import get_bigquery_schema_dataflow

    pipeline_options = PipelineOptions([
        '--experiments', 'use_beam_bq_sink',
    ] + pipeline_args)
    # Get the schema from shapefile
    table_schema = parse_table_schema_from_json(get_bigquery_schema_dataflow(known_args.gcs_url))

    with beam.Pipeline(options=pipeline_options) as p:
        (p
        | beam.io.Read(ShapefileSource(known_args.gcs_url,
            layer_name=known_args.layer_name))
        | 'MakeValid' >> beam.Map(make_valid)
        | 'FilterInvalid' >> beam.Filter(filter_invalid)
        | 'FormatRecords' >> beam.Map(format_record)
        | 'WriteToBigQuery' >> beam.io.WriteToBigQuery(
            beam_bigquery.TableReference(
                datasetId=known_args.dataset,
                tableId=known_args.table),
            schema=table_schema, # Pass the schema generated earlier
            method=beam.io.WriteToBigQuery.Method.FILE_LOADS,
            write_disposition=beam.io.BigQueryDisposition.WRITE_TRUNCATE,
            create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED)) # Create table is does not exist

if __name__ == '__main__':
    import logging
    import argparse

    logging.getLogger().setLevel(logging.INFO)

    parser = argparse.ArgumentParser()
    parser.add_argument('--gcs_url')
    parser.add_argument('--dataset')
    parser.add_argument('--table')
    parser.add_argument('--layer_name')
    parser.add_argument('--in_epsg', type=int, default=None)
    known_args, pipeline_args = parser.parse_known_args()

    run(pipeline_args, known_args)