airphin 0.0.13

Description:

airphin 0.0.13

Airphin










Airphin is a tool for migrating Airflow DAGs to DolphinScheduler Python API.
Installation
For now, it just for test and without publish to pypi but will be adding in the future.
You could still install locally by yourself.
python -m pip install --upgrade airphin

Quick Start
Here will give a quick example to show how to migrate base on standard input.
# Quick test the migrate rule for standard input
# Can also add option `--diff` to see the diff detail of this migrate
airphin test "from airflow.operators.bash import BashOperator

test = BashOperator(
task_id='test',
bash_command='echo 1',
)
"

And you will see the migrated result in the standard output. Airphin can only migrate standard input, it can
also migrate file, directory and even can use in your python code. For more detail, please see our usage.
Documentation
The documentation host on read the doc and is available at https://airphin.readthedocs.io.
Support Statement
For now, we support following statement from Airflow's DAG files
DAG



Before Migration
After Migration




from airflow import DAG
from pydolphinscheduler.core.process_definition import ProcessDefinition


with DAG(...) as dag: pass
with ProcessDefinition(...) as dag: pass



Operators
Dummy Operator



Before Migration
After Migration




from airflow.operators.dummy_operator import DummyOperator
from pydolphinscheduler.tasks.shell import Shell


from airflow.operators.dummy import DummyOperator
from pydolphinscheduler.tasks.shell import Shell


dummy = DummyOperator(...)
dummy = Shell(..., command="echo 'airflow dummy operator'")



Shell Operator



Before Migration
After Migration




from airflow.operators.bash import BashOperator
from pydolphinscheduler.tasks.shell import Shell


bash = BashOperator(...)
bash = Shell(...)



Spark Sql Operator



Before Migration
After Migration




from airflow.operators.spark_sql_operator import SparkSqlOperator
from pydolphinscheduler.tasks.sql import Sql


spark = SparkSqlOperator(...)
spark = Sql(...)



Python Operator



Before Migration
After Migration




from airflow.operators.python_operator import PythonOperator
from pydolphinscheduler.tasks.python import Python


python = PythonOperator(...)
python = Python(...)