How to integrate Apache Airflow with slack?

Try the new SlackWebhookOperator which is there in Airflow version>=1.10.0

from airflow.contrib.operators.slack_webhook_operator import SlackWebhookOperator

slack_msg = "Hi Wssup?"

slack_test =  SlackWebhookOperator(
        task_id='slack_test',
        http_conn_id='slack_connection',
        webhook_token='/1234/abcd',
        message=slack_msg,
        channel='#airflow_updates',
        username='airflow_'+os.environ['ENVIRONMENT'],
        icon_emoji=None,
        link_names=False,
        dag=dag)

Note: Make sure you have slack_connection added in your Airflow connections as

host=https://hooks.slack.com/services/

• Create a Slack Token from https://api.slack.com/custom-integrations/legacy-tokens
• Use the SlackAPIPostOperator Operator in your DAG as below

SlackAPIPostOperator(
      task_id='failure',
      token='YOUR_TOKEN',
      text=text_message,
      channel=SLACK_CHANNEL,
      username=SLACK_USER)

The above is the simplest way you can use Airflow to send messages to Slack.

However, if you want to configure Airflow to send messages to Slack on task failures, create a function and add on_failure_callback to your tasks with the name of the created slack function. An example is below:

def slack_failed_task(contextDictionary, **kwargs):  
       failed_alert = SlackAPIPostOperator(
         task_id='slack_failed',
         channel="#datalabs",
         token="...",
         text = ':red_circle: DAG Failed',
         owner = '_owner',)
         return failed_alert.execute()


task_with_failed_slack_alerts = PythonOperator(
    task_id='task0',
    python_callable=<file to execute>,
    on_failure_callback=slack_failed_task,
    provide_context=True,
    dag=dag)

Using SlackWebHook (Works only for Airflow >= 1.10.0): If you want to use SlackWebHook use SlackWebhookOperator in a similar manner:

https://github.com/apache/incubator-airflow/blob/master/airflow/contrib/operators/slack_webhook_operator.py#L25