[
https://issues.apache.org/jira/browse/BEAM-3840?focusedWorklogId=81687&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-81687
]
ASF GitHub Bot logged work on BEAM-3840:
----------------------------------------
Author: ASF GitHub Bot
Created on: 18/Mar/18 20:27
Start Date: 18/Mar/18 20:27
Worklog Time Spent: 10m
Work Description: aaltay commented on a change in pull request #4853:
[BEAM-3840] Get python mobile-gaming automating on core runners
URL: https://github.com/apache/beam/pull/4853#discussion_r175302327
##########
File path:
release/src/main/groovy/run_release_candidate_python_mobile_gaming.sh
##########
@@ -0,0 +1,167 @@
+#!/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/groovy/python_release_automation_utils.sh
+
+complete() {
+ print_separator "Validation $1"
+ rm -rf $TMPDIR
+}
+
+verify_houly_team_score() {
+ # $1 runner type
+ retry=3
+ should_see='AntiqueBrassPlatypus'
+ while(( $retry >= 0 ))
+ do
+ if [[ $retry > 0 ]]
+ then
+ bq_pull_result=$(bq head -n 100
$DATASET.hourly_team_score_python_$1)
+ if [[ $bq_pull_result = *"$should_see"* ]]
+ then
+ echo "SUCCEED: HourlyTeamScore example successful run on
$1-runner"
+ break
+ else
+ retry=$(($retry-1))
+ echo "Did not find team scores, retry left: $retry"
+ sleep 15
+ fi
+ else
+ echo "FAILED: HourlyTeamScore example failed running on $1-runner.
Did not found scores of team $should_see in $DATASET.leader_board"
+ complete "FAILED"
+ exit 1
+ fi
+ done
+}
+
+
+print_separator "Start Mobile Gaming Examples"
+echo "SDK version: $VERSION"
+
+TMPDIR=$(mktemp -d)
+echo $TMPDIR
+pushd $TMPDIR
+
+#
+# 1. Download files from RC staging location, install python sdk
+#
+
+wget $CANDIDATE_URL$BEAM_PYTHON_SDK
+print_separator "Creating new virtualenv and installing the SDK"
+virtualenv temp_virtualenv
+. temp_virtualenv/bin/activate
+gcloud_version=$(gcloud --version | head -1 | awk '{print $4}')
+if [[ "$gcloud_version" < "189" ]]
+then
+ update_gcloud
+fi
+pip install $BEAM_PYTHON_SDK[gcp]
+
+
+#
+# 2. Run UserScore with DirectRunner
+#
+
+print_separator "Running userscore example with DirectRunner"
+output_file_name="$USERSCORE_OUTPUT_PREFIX-direct-runner.txt"
+python -m apache_beam.examples.complete.game.user_score \
+--output=$output_file_name \
+--project=$PROJECT_ID \
+--dataset=$DATASET \
+--input=gs://$BUCKET_NAME/5000_gaming_data.csv
+if ls $output_file_name* 1> /dev/null 2>&1;
+then
+ echo "Found output file(s):"
+ ls $output_file_name*
+else
+ echo "ERROR: output file not found."
+ complete "failed when running userscore example with DirectRunner."
+ exit 1
+fi
+echo "SUCCEED: UserScore successfully run on DirectRunner."
+
+
+#
+# 3. Run UserScore with DataflowRunner
+#
+
+print_separator "Running userscore example with DataflowRunner"
+output_file_name="$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=$BEAM_PYTHON_SDK \
+--input=gs://$BUCKET_NAME/5000_gaming_data.csv \
+--output=gs://$BUCKET_NAME/$output_file_name
+# verify results.
+userscore_output_in_gcs="gs://$BUCKET_NAME/$output_file_name"
+gcs_pull_result=$(gsutil ls gs://$BUCKET_NAME)
+if [[ $gcs_pull_result != *$userscore_output_in_gcs* ]]
Review comment:
Curious why this verification is not similar to `verify_houly_team_score`
and is done in a common place. Other that using `ls` and `gsutil ls` they look
similar.
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Issue Time Tracking
-------------------
Worklog Id: (was: 81687)
Time Spent: 13h 20m (was: 13h 10m)
> Get Python Mobile-Gaming Running on Core Runners
> ------------------------------------------------
>
> Key: BEAM-3840
> URL: https://issues.apache.org/jira/browse/BEAM-3840
> Project: Beam
> Issue Type: Sub-task
> Components: examples-python
> Affects Versions: 2.5.0
> Reporter: yifan zou
> Assignee: yifan zou
> Priority: Major
> Fix For: 2.5.0
>
> Time Spent: 13h 20m
> Remaining Estimate: 0h
>
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