Source code for tests.system.providers.slack.example_slack_webhook

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from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.slack.operators.slack_webhook import SlackWebhookOperator

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "slack_webhook_example_dag"
[docs]SLACK_WEBHOOK_CONN_ID = os.environ.get("SLACK_WEBHOOK_CONN_ID", "slack_default")
[docs]IMAGE_URL = ""
with DAG( dag_id=DAG_ID, schedule=None, start_date=datetime(2021, 1, 1), max_active_runs=1, tags=["example"], ) as dag: # [START slack_webhook_operator_text_howto_guide]
[docs] slack_webhook_operator_text = SlackWebhookOperator( task_id="slack_webhook_send_text", slack_webhook_conn_id=SLACK_WEBHOOK_CONN_ID, message=( "Apache Airflow™ is an open-source platform for developing, " "scheduling, and monitoring batch-oriented workflows." ), )
# [END slack_webhook_operator_text_howto_guide] # [START slack_webhook_operator_blocks_howto_guide] slack_webhook_operator_blocks = SlackWebhookOperator( task_id="slack_webhook_send_blocks", slack_webhook_conn_id=SLACK_WEBHOOK_CONN_ID, blocks=[ { "type": "section", "text": { "type": "mrkdwn", "text": ( "*<|Apache Airflow™>* " "is an open-source platform for developing, scheduling, " "and monitoring batch-oriented workflows." ), }, "accessory": {"type": "image", "image_url": IMAGE_URL, "alt_text": "Pinwheel"}, } ], message="Fallback message", ) # [END slack_webhook_operator_blocks_howto_guide] slack_webhook_operator_text >> slack_webhook_operator_blocks from tests.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/
[docs]test_run = get_test_run(dag)

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