slack


Providers:

Run this DAG

1. Install the Astronomer CLI:Skip if you already have the CLI

2. Initate the project in a local directory:

3. Copy and paste the code below into a file in the

dags
directory.

4. Add the following to your

requirements.txt
file:

5. Run the DAG from the local directory where the project was initiated:

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from airflow.models.dag import DAG
from airflow.providers.slack.operators.slack import SlackAPIFileOperator
from airflow.utils.dates import days_ago
with DAG(
dag_id='slack_example_dag',
schedule_interval=None,
start_date=days_ago(2),
max_active_runs=1,
tags=['example'],
) as dag:
# Send file with filename and filetype
slack_operator_file = SlackAPIFileOperator(
task_id="slack_file_upload_1",
dag=dag,
slack_conn_id="slack",
channel="#general",
initial_comment="Hello World!",
filename="/files/dags/test.txt",
filetype="txt",
)
# Send file content
slack_operator_file_content = SlackAPIFileOperator(
task_id="slack_file_upload_2",
dag=dag,
slack_conn_id="slack",
channel="#general",
initial_comment="Hello World!",
content="file content in txt",
)
slack_operator_file >> slack_operator_file_content