| # |
| # 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. |
| # |
| |
| fixtures: |
| - name: TEMP_DIR |
| type: "tempfile.TemporaryDirectory" |
| |
| pipelines: |
| # Simple PyTransform using __constructor__ |
| - pipeline: |
| type: chain |
| transforms: |
| - type: Create |
| config: |
| elements: |
| - {price: 1.29, produce: 'Apple'} |
| - {price: 0.29, produce: 'Apricot'} |
| - {price: 0.02, produce: 'Blueberry'} |
| - {price: 0.19, produce: 'Date'} |
| - type: PyTransform |
| config: |
| constructor: __constructor__ |
| kwargs: |
| source: | |
| def increase(inc): |
| return beam.Map(lambda x: beam.Row(price=x.price + inc, produce=x.produce)) |
| inc: 0.30 |
| - type: AssertEqual |
| config: |
| elements: |
| - {price: 1.59, produce: 'Apple'} |
| - {price: 0.59, produce: 'Apricot'} |
| - {price: 0.32, produce: 'Blueberry'} |
| - {price: 0.49, produce: 'Date'} |
| |
| # Simple PyTransform using __constructor__ beam.PTransform |
| - pipeline: |
| type: chain |
| transforms: |
| - type: Create |
| config: |
| elements: |
| - {price: 1.29, produce: 'Apple'} |
| - {price: 0.29, produce: 'Apricot'} |
| - {price: 0.02, produce: 'Blueberry'} |
| - {price: 0.19, produce: 'Date'} |
| - type: PyTransform |
| config: |
| constructor: __constructor__ |
| kwargs: |
| source: | |
| class MyPTransform(beam.PTransform): |
| def __init__(self, inc): |
| self._inc = inc |
| def expand(self, pcoll): |
| return pcoll | beam.Map(lambda x: beam.Row(price=x.price + self._inc, produce=x.produce)) |
| inc: 0.30 |
| - type: AssertEqual |
| config: |
| elements: |
| - {price: 1.59, produce: 'Apple'} |
| - {price: 0.59, produce: 'Apricot'} |
| - {price: 0.32, produce: 'Blueberry'} |
| - {price: 0.49, produce: 'Date'} |
| |
| # Simple PyTransform using __callable__ |
| - pipeline: |
| type: chain |
| transforms: |
| - type: Create |
| config: |
| elements: |
| - {price: 1.29, produce: 'Apple'} |
| - {price: 0.29, produce: 'Apricot'} |
| - {price: 0.02, produce: 'Blueberry'} |
| - {price: 0.19, produce: 'Date'} |
| - type: PyTransform |
| config: |
| constructor: __callable__ |
| kwargs: |
| source: | |
| def increase(pcoll, inc): |
| return pcoll | beam.Map(lambda x: beam.Row(price=x.price + inc, produce=x.produce)) |
| inc: 0.30 |
| - type: AssertEqual |
| config: |
| elements: |
| - {price: 1.59, produce: 'Apple'} |
| - {price: 0.59, produce: 'Apricot'} |
| - {price: 0.32, produce: 'Blueberry'} |
| - {price: 0.49, produce: 'Date'} |
| |
| # Create Csv for pytransform read in next pipeline |
| - pipeline: |
| type: chain |
| transforms: |
| - type: Create |
| config: |
| elements: |
| - {price: 1.29, produce: 'Apple'} |
| - {price: 0.29, produce: 'Apricot'} |
| - {price: 0.02, produce: 'Blueberry'} |
| - {price: 0.19, produce: 'Date'} |
| - type: WriteToCsv |
| config: |
| path: "{TEMP_DIR}/out.csv" |
| |
| # Simple PyTransform using ReadFromCsv with args |
| - pipeline: |
| type: composite |
| transforms: |
| - type: PyTransform |
| name: PyTransformReadFromCsv |
| input: {} |
| config: |
| constructor: apache_beam.io.ReadFromCsv |
| args: ['{TEMP_DIR}/out.csv*'] |
| - type: AssertEqual |
| input: PyTransformReadFromCsv |
| config: |
| elements: |
| - {price: 1.29, produce: 'Apple'} |
| - {price: 0.29, produce: 'Apricot'} |
| - {price: 0.02, produce: 'Blueberry'} |
| - {price: 0.19, produce: 'Date'} |
| |
| # Simple PyTransform using ReadFromCsv with kwargs |
| - pipeline: |
| type: composite |
| transforms: |
| - type: PyTransform |
| name: PyTransformReadFromCsv |
| input: {} |
| config: |
| constructor: apache_beam.io.ReadFromCsv |
| kwargs: |
| path: '{TEMP_DIR}/out.csv*' |
| - type: AssertEqual |
| input: PyTransformReadFromCsv |
| config: |
| elements: |
| - {price: 1.29, produce: 'Apple'} |
| - {price: 0.29, produce: 'Apricot'} |
| - {price: 0.02, produce: 'Blueberry'} |
| - {price: 0.19, produce: 'Date'} |