pip3 install "openmetadata-ingestion==x.y.z"

#  Copyright 2025 OpenMetadata
#  Licensed under the OpenMetadata Community License, Version 1.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#  https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
#  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.
"""
You can run this DAG from the default OM installation
"""

from datetime import datetime, timedelta
from textwrap import dedent

# The DAG object; we'll need this to instantiate a DAG
from airflow import DAG

# Operators; we need this to operate!
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator

# These args will get passed on to each operator
# You can override them on a per-task basis during operator initialization
from airflow_provider_openmetadata.lineage.operator import OpenMetadataLineageOperator

from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import (
    OpenMetadataConnection,
)
from metadata.generated.schema.security.client.openMetadataJWTClientConfig import (
    OpenMetadataJWTClientConfig,
)


default_args = {
    'retries': 1,
    'retry_delay': timedelta(minutes=5),
}


def explode():
    raise Exception("Oh no!")


with DAG(
    'lineage_tutorial_operator',
    default_args=default_args,
    description='A simple tutorial DAG',
    schedule_interval=timedelta(days=1),
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=['example'],
) as dag:

    # t1, t2 and t3 are examples of tasks created by instantiating operators
    t1 = BashOperator(
        task_id='print_date',
        bash_command='date',
        outlets={
            "tables": ["sample_data.ecommerce_db.shopify.dim_address"]
        }
    )

    t2 = BashOperator(
        task_id='sleep',
        depends_on_past=False,
        bash_command='sleep 1',
        retries=3,
        inlets={
            "tables": ["sample_data.ecommerce_db.shopify.dim_customer"]
        }
    )

    risen = PythonOperator(
        task_id='explode',
        provide_context=True,
        python_callable=explode,
        retries=0,
    )

    dag.doc_md = __doc__  # providing that you have a docstring at the beginning of the DAG
    dag.doc_md = """
    This is a documentation placed anywhere
    """  # otherwise, type it like this
    templated_command = dedent("")

    t3 = BashOperator(
        task_id='templated',
        depends_on_past=False,
        bash_command=templated_command,
        params={'my_param': 'Parameter I passed in'},
    )

    t1 >> [t2, t3]

    server_config = OpenMetadataConnection(
        hostPort="http://localhost:8585/api",
        authProvider="openmetadata",
        securityConfig=OpenMetadataJWTClientConfig(
            jwtToken="eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg"
        ),
    )

    t4 = OpenMetadataLineageOperator(
        task_id='lineage_op',
        depends_on_past=False,
        server_config=server_config,
        service_name="airflow_lineage_op_service",
        only_keep_dag_lineage=True,
    )

    t1 >> t4

from airflow_provider_openmetadata.hooks.openmetadata import OpenMetadataHook

openmetadata_hook = OpenMetadataHook(openmetadata_conn_id="om_id")
server_config = openmetadata_hook.get_conn()

OpenMetadataLineageOperator(
    task_id='lineage_op',
    depends_on_past=False,
    server_config=server_config,
    service_name="airflow_lineage_op_service",
    only_keep_dag_lineage=True,
)

{
  "verifySSL": "ignore"
}

{
  "verifySSL": "validate",
  "sslConfig": "path-to-cert"
}