68 lines
2.9 KiB
Bash
Executable File
68 lines
2.9 KiB
Bash
Executable File
#!/bin/bash
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#
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# Copyright 2018 AT&T Intellectual Property. All other rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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cmd=$1
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python3_path=$(which python3)
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airflow_path=$(which airflow)
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# Initialize Airflow DB
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if [[ $cmd == 'db init' ]]; then
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${python3_path} ${airflow_path} db init
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${python3_path} ${airflow_path} db migrate
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# Start the services based on argument from Airflow Helm Chart
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elif [[ $cmd == 'webserver' ]]; then
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${python3_path} ${airflow_path} webserver
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elif [[ $cmd == 'flower' ]]; then
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${python3_path} ${airflow_path} celery flower --pid=/tmp/airflow-flower.pid
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elif [[ $cmd == 'worker' ]]; then
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${python3_path} ${airflow_path} celery worker --pid=/tmp/airflow-worker.pid
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# If command contains the word 'scheduler'
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elif [[ $cmd == *scheduler* ]]; then
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while true; do
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# Start Airflow Scheduler
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# $2 and $3 will take on values '-n' and '-1' respectively
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# The value '-1' indicates that the airflow scheduler will run
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# continuously. Any other value will mean that the scheduler will
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# terminate and restart after x seconds.
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${python3_path} ${airflow_path} scheduler $2 $3
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done
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elif [[ $cmd == 'quicktest' ]]; then
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${python3_path} ${airflow_path} version
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${python3_path} ${airflow_path} db init
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${python3_path} ${airflow_path} db migrate
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${python3_path} ${airflow_path} dags list
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${python3_path} ${airflow_path} scheduler &
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while true; do
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is_active=$(airflow dags details example_bash_operator -o plain | grep is_active | awk '{print $2}')
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if [ "$is_active" == "True" ]; then
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echo "DAG example_bash_operator is active."
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break
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fi
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echo "Waiting for DAG example_bash_operator to become active..."
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sleep 10
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done
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${python3_path} ${airflow_path} dags list
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${python3_path} ${airflow_path} dags unpause example_bash_operator
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${python3_path} ${airflow_path} tasks test example_bash_operator runme_0
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${python3_path} ${airflow_path} dags backfill example_bash_operator -s 2018-01-01 -e 2018-01-02
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${python3_path} ${airflow_path} tasks run example_bash_operator runme_0 2018-01-01
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${python3_path} ${airflow_path} tasks states-for-dag-run example_bash_operator backfill__2018-01-02T00:00:00+00:00
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${python3_path} ${airflow_path} dags state example_bash_operator 2018-01-01
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else
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echo "Invalid Command!"
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exit 1
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fi
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