qlikflow 1.0.2

This module allows you to create simple Apache Airflow DAG files-constructors for QlikView, Qlik Sense and NPrinting.

qlikflow

Description

This module allows you to create simple Apache Airflow DAG files-constructors for QlikView, Qlik Sense and NPrinting.

Install

pip3 install qlikflow

Create config-file

Open config_generator.py with your IDE editor, and set settings, save script

Then run script to create config.json file

Put this config.json file on your Apache Airflow server in folder with DAG's

Use in DAG-files

from airflow import DAG
from airflow.utils.dates import days_ago
import qlikflow
from datetime import datetime

tasksDict = {
    u'qliksense. Test task': {
        'Soft' : 'qs1',
        'TaskId' : 'c5d80e71-f574-4655-8874-3a6e2aed6218',
        'RandomStartDelay' : 10, 
        },
    u'np100. run nprinting tasks' : {
        'Soft' : 'np100',
        'TaskId' : [
            'taskid1',
            'taskid2',
            'taskid3',
            'taskid4',
        ],
        'Dep' : {
            u'qliksense. Test task',
            }
        }
    }

default_args  = {
    'owner': 'test',
    'depends_on_past': False,
}

dag = DAG(
    dag_id = '_my_test_dag',
    default_args = default_args ,
    start_date = days_ago(1),
    schedule_interval = '@daily',
    description = 'Default test dag',
    tags = ['qliksense', 'testing'],
    catchup = False
)

airflowTasksDict = {}
qlikflow.create_tasks(tasksDict, airflowTasksDict, dag)