| #!/bin/bash |
| # |
| # 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. |
| # |
| |
| # This file will verify Apache/Beam release candidate python by following steps: |
| # |
| # 1. Create a new virtualenv and install the SDK |
| # 2. Run UserScore examples with DirectRunner |
| # 3. Run UserScore examples with DataflowRunner |
| # 4. Run HourlyTeamScore on DirectRunner |
| # 5. Run HourlyTeamScore on DataflowRunner |
| # |
| |
| set -e |
| set -v |
| |
| source release/src/main/python-release/python_release_automation_utils.sh |
| |
| # Assign default values |
| BEAM_PYTHON_SDK=$BEAM_PYTHON_SDK_ZIP |
| |
| |
| ####################################### |
| # Remove temp directory when complete. |
| # Globals: |
| # TMPDIR |
| # Arguments: |
| # None |
| ####################################### |
| function complete() { |
| print_separator "Validation $1" |
| rm -rf $TMPDIR |
| } |
| |
| |
| ####################################### |
| # Run UserScore with DirectRunner |
| # Globals: |
| # USERSCORE_OUTPUT_PREFIX, DATASET, BUCKET_NAME |
| # Arguments: |
| # None |
| ####################################### |
| function verify_userscore_direct() { |
| print_separator "Running userscore example with DirectRunner" |
| output_file_name="$USERSCORE_OUTPUT_PREFIX-direct-runner.txt" |
| python -m apache_beam.examples.complete.game.user_score \ |
| --output=$output_file_name \ |
| --project=$PROJECT_ID \ |
| --dataset=$DATASET \ |
| --input=$GAME_INPUT_DATA |
| |
| verify_user_score "direct" |
| } |
| |
| |
| ####################################### |
| # Run UserScore with DataflowRunner |
| # Globals: |
| # USERSCORE_OUTPUT_PREFIX, PROJECT_ID, DATASET |
| # BEAM_PYTHON_SDK, BUCKET_NAME |
| # Arguments: |
| # None |
| ####################################### |
| function verify_userscore_dataflow() { |
| print_separator "Running userscore example with DataflowRunner" |
| output_file_name="$USERSCORE_OUTPUT_PREFIX-dataflow-runner.txt" |
| python -m apache_beam.examples.complete.game.user_score \ |
| --project=$PROJECT_ID \ |
| --runner=DataflowRunner \ |
| --temp_location=gs://$BUCKET_NAME/temp/ \ |
| --sdk_location=$BEAM_PYTHON_SDK \ |
| --input=$GAME_INPUT_DATA \ |
| --output=gs://$BUCKET_NAME/$output_file_name |
| |
| verify_user_score "dataflow" |
| } |
| |
| |
| ####################################### |
| # Run HourlyTeamScore with DirectRunner |
| # Globals: |
| # PROJECT_ID, DATASET BUCKET_NAME |
| # Arguments: |
| # None |
| ####################################### |
| function verify_hourlyteamscore_direct() { |
| print_separator "Running HourlyTeamScore example with DirectRunner" |
| python -m apache_beam.examples.complete.game.hourly_team_score \ |
| --project=$PROJECT_ID \ |
| --dataset=$DATASET \ |
| --input=$GAME_INPUT_DATA \ |
| --table="hourly_team_score_python_direct" |
| |
| verify_hourly_team_score "direct" |
| } |
| |
| |
| ####################################### |
| # Run HourlyTeamScore with DataflowRunner |
| # Globals: |
| # PROJECT_ID, DATASET |
| # BEAM_PYTHON_SDK, BUCKET_NAME |
| # Arguments: |
| # None |
| ####################################### |
| function verify_hourlyteamscore_dataflow() { |
| print_separator "Running HourlyTeamScore example with DataflowRunner" |
| python -m apache_beam.examples.complete.game.hourly_team_score \ |
| --project=$PROJECT_ID \ |
| --dataset=$DATASET \ |
| --runner=DataflowRunner \ |
| --temp_location=gs://$BUCKET_NAME/temp/ \ |
| --sdk_location $BEAM_PYTHON_SDK \ |
| --input=$GAME_INPUT_DATA \ |
| --table="hourly_team_score_python_dataflow" |
| |
| verify_hourly_team_score "dataflow" |
| } |
| |
| |
| ####################################### |
| # Main function. |
| # This function validates Python RC MobileGaming in following steps: |
| # 1. Create a new virtualenv and install the SDK |
| # 2. Run UserScore examples with DirectRunner |
| # 3. Run UserScore examples with DataflowRunner |
| # 4. Run HourlyTeamScore on DirectRunner |
| # 5. Run HourlyTeamScore on DataflowRunner |
| # Globals: |
| # VERSION |
| # Arguments: |
| # $1 - sdk types: [tar, wheel] |
| # $2 - python interpreter version: [python2.7, python3.5, ...] |
| ####################################### |
| function run_release_candidate_python_mobile_gaming() { |
| print_separator "Start Mobile Gaming Examples" |
| echo "SDK version: $VERSION" |
| |
| TMPDIR=$(mktemp -d) |
| echo $TMPDIR |
| pushd $TMPDIR |
| |
| download_files $1 $2 |
| # get exact names of sdk and other files |
| BEAM_PYTHON_SDK=$(get_sdk_name $1) |
| |
| install_sdk $1 $2 |
| verify_userscore_direct |
| verify_userscore_dataflow |
| verify_hourlyteamscore_direct |
| verify_hourlyteamscore_dataflow |
| |
| complete "SUCCEED: Mobile Gaming Verification Complete" |
| } |