Skip to main content

Airflow package provider to reload apps/task/automation from Qlik Sense Cloud.

Project description

qlik

Airflow: Qlik Sense Cloud Provider

Qlik Sense Cloud Provider to reload application, automation from Airflow.


This repository provides basic qlik sense cloud hook and operators to trigger reloads of applications, automations, or tasks available in a Qlik Sense Cloud tenant.

Road Map

In development:

☑ Adding Qlik Talend Cloud Operator (Waiting new tenant to add it)

Test-Phase:

☑ Adding Report Operator (Added in production) ☑ Comptability with Airflow 3.0.1 (Added in production)

Warnings

For version superior to Airflow 3.0.0, please use version superior to 0.0.7 For version below to Airflow 3.0.0, please use version under 0.0.7

Requirements

The package has been tested with Python 3.9.

Package Version
apache-airflow >2.10
qlik-sdk >= 0.14.0

You also need a Qlik Sense Cloud tenant with API key activated. To get more informations about how to activate API key on Qlik Sense Cloud Tenant, see this section.

How to install it ?

To install it, download and unzip source and launch the following pip install command:

By using Pypi

pip install airflow-provider-qlik-sense-cloud

By Local Install

pip install .

You can also use

python setup.py install

How to use it ?


To create connection, you need to get a API Token and your Qlik Cloud Tenant Activation


1. Generating API Keys


Follow these steps to get API Keys:

Step 1: Login to your Qlik Sense Cloud Tenant.

Step 2: Click on your account logo and go into Profile.

parameters_demo

Step 3: Go into API keys section.

api_key


Step 4: Generate a new key.

generate_api_key_1


Step 5: Give a description and an expiration date ( ⚠️⚠️⚠️ Choose an expiration date with enough delay to avoid refresh all the time the token API ⚠️⚠️⚠️).

generate_api_key_2


Step 6: The API key is displaying, copy it and save it.

copyAPIKey



2. Get tenant id

Step 1: Login to your Qlik Sense Cloud Tenant and go into About Section by clicking on your profile icon.

about_tenant

Step 2: Get the value of your tenant hostname

QlikSenseCloudTenantId

3. Creating Qlik Sense Cloud Connection in Airflow

Step 1: Login to your Airflow Webserver. Go into Admin > Connection and creation a new connection by cliking on add icon.


Step 2: Give a name to your connection id and selection Qlik Sense Cloud in Connection Type. Add tenant id hostname (without https) and Token API Key that you copy in Section 1 and 2.

airflow_connection_illustration



4. Example: Creating a DAG with Qlik Sense Cloud Operator to reload App

You can now use the operators in your dags to trigger action in Qlik Sense Cloud from Airflow

Example:

from airflow import DAG
from airflow.providers.qlik_sense_cloud.operators.qlik_sense_cloud_reload import QlikSenseCloudReloadOperator
from airflow.utils.dates import days_ago

from datetime import timedelta
from textwrap import dedent


# [START default_args]
# These args will get passed on to each operator
# You can override them on a per-task basis during operator initialization
default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'email': ['airflow@example.com'],
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 1,
    'retry_delay': timedelta(minutes=5),
    # 'queue': 'bash_queue',
    # 'pool': 'backfill',
    # 'priority_weight': 10,
    # 'end_date': datetime(2016, 1, 1),
    # 'wait_for_downstream': False,
    # 'dag': dag,
    # 'sla': timedelta(hours=2),
    # 'execution_timeout': timedelta(seconds=300),
    # 'on_failure_callback': some_function,
    # 'on_success_callback': some_other_function,
    # 'on_retry_callback': another_function,
    # 'sla_miss_callback': yet_another_function,
    # 'trigger_rule': 'all_success'
}
# [END default_args]


# [START instantiate_dag]
with DAG('test-airflow',default_args=default_args,description='A simple tutorial DAG to try',schedule_interval=timedelta(days=1),start_date=days_ago(2),tags=['example'],) as dag:
        t1 = QlikSenseCloudReloadOperator(task_id='reload_app',appId='4d5ad6d0-92a1-47c3-b57d-5a07945377f8',qlik_sense_cloud_config_id='qliksensecloud')

        t1
# [END instantiate_dag]

5. Example: Creating a DAG with Qlik Sense Cloud Operator to reload Qlik Automation and to send a Qlik Report

Here's an example of DAG using operator to reload automation

from airflow import DAG
from airflow.providers.qlik_sense_cloud.operators.qlik_sense_cloud_automation import QlikSenseCloudAutomationOperator
from airflow.providers.qlik_sense_cloud.operators.qlik_sense_cloud_report import QlikSenseCloudReportOperator
from airflow.utils.dates import days_ago

from datetime import timedelta
from textwrap import dedent

# [START default_args]
# These args will get passed on to each operator
# You can override them on a per-task basis during operator initialization
default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'email': ['airflow@example.com'],
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 1,
    'retry_delay': timedelta(minutes=5),
    # 'queue': 'bash_queue',
    # 'pool': 'backfill',
    # 'priority_weight': 10,
    # 'end_date': datetime(2016, 1, 1),
    # 'wait_for_downstream': False,
    # 'dag': dag,
    # 'sla': timedelta(hours=2),
    # 'execution_timeout': timedelta(seconds=300),
    # 'on_failure_callback': some_function,
    # 'on_success_callback': some_other_function,
    # 'on_retry_callback': another_function,
    # 'sla_miss_callback': yet_another_function,
    # 'trigger_rule': 'all_success'
}
# [END default_args]


# [START instantiate_dag]
with DAG('test-automation-report',default_args=default_args,description='A simple tutorial DAG to try',schedule_interval=timedelta(days=1),start_date=days_ago(2),tags=['example'],) as dag:
	t1 = QlikSenseCloudAutomationOperator(task_id='reload_automation',automationId='bab86470-578a-11ed-bee3-db20e15c9fd8',qlik_sense_cloud_config_id='qliksensecloud')

  	t2 = QlikSenseCloudReportOperator(task_id='reload_report',reportId='65f810a9e0f4697cb54b6e87',qlik_sense_cloud_config_id='qliksensecloud')

	t1 >> t2

6. (Appendix) Activate API Key on Qlik Sense Cloud Tenant

To get more informations about API Key in Qlik Sense Cloud, you can follow these topic:

https://qlik.dev/tutorials/generate-your-first-api-key

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airflow_provider_qlik_sense_cloud-0.0.7.tar.gz (14.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file airflow_provider_qlik_sense_cloud-0.0.7.tar.gz.

File metadata

File hashes

Hashes for airflow_provider_qlik_sense_cloud-0.0.7.tar.gz
Algorithm Hash digest
SHA256 959cffdc405e0a166178afeb5af6cbce53b633d9b580df8d1a552986d9219fd1
MD5 dd9f46d02ebd669377a2584edfcc15ed
BLAKE2b-256 384bf9dec48f56ca85874ad178da152689da0ed6bd247465979ec764ad4261ba

See more details on using hashes here.

File details

Details for the file airflow_provider_qlik_sense_cloud-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for airflow_provider_qlik_sense_cloud-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 aa550d294c9239b53902f7bab6718bd8db571ed397ac0d3759e5d58c7cb2e1f6
MD5 88ad80e9a8a42fcb51aad97ca74d4be8
BLAKE2b-256 0573da418d5fd75edea754fa4928d8d781e6c4fb9dcc4f3805d2655de6cca712

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page