mirror of
https://github.com/open-metadata/OpenMetadata.git
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258 lines
8.1 KiB
Python
258 lines
8.1 KiB
Python
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# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Test Airflow related operations
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"""
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import datetime
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import os
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import shutil
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import uuid
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from pathlib import Path
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from unittest import TestCase
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# We need to patch the environment before importing Airflow
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# At module load it already inits the configurations.
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from metadata.generated.schema.api.services.createDatabaseService import (
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CreateDatabaseServiceRequest,
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)
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from metadata.generated.schema.entity.services.connections.database.mysqlConnection import (
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MysqlConnection,
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)
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from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import (
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OpenMetadataConnection,
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)
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from metadata.generated.schema.entity.services.databaseService import (
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DatabaseConnection,
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DatabaseService,
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DatabaseServiceType,
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)
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from metadata.generated.schema.entity.services.ingestionPipelines.ingestionPipeline import (
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AirflowConfig,
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IngestionPipeline,
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PipelineType,
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)
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from metadata.generated.schema.metadataIngestion.databaseServiceMetadataPipeline import (
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DatabaseServiceMetadataPipeline,
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)
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from metadata.generated.schema.metadataIngestion.workflow import SourceConfig
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from metadata.generated.schema.type.entityReference import EntityReference
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from metadata.ingestion.ometa.ometa_api import OpenMetadata
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os.environ["AIRFLOW_HOME"] = "/tmp/airflow"
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os.environ["AIRFLOW__CORE__SQL_ALCHEMY_CONN"] = "sqlite:////tmp/airflow/airflow.db"
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os.environ["AIRFLOW__OPENMETADATA_AIRFLOW_APIS__DAG_GENERATED_CONFIGS"] = "/tmp/airflow"
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os.environ["AIRFLOW__OPENMETADATA_AIRFLOW_APIS__DAG_RUNNER_TEMPLATE"] = str(
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(
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Path(__file__).parent.parent.parent.parent
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/ "src/plugins/dag_templates/dag_runner.j2"
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).absolute()
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)
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from airflow import DAG
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from airflow.models import DagBag
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from airflow.operators.bash import BashOperator
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from airflow.utils import db, timezone
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from airflow.utils.state import DagRunState
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from airflow.utils.types import DagRunType
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from openmetadata.operations.delete import delete_dag_id
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from openmetadata.operations.deploy import DagDeployer
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from openmetadata.operations.kill_all import kill_all
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from openmetadata.operations.state import disable_dag, enable_dag
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from openmetadata.operations.status import status
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from openmetadata.operations.trigger import trigger
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class TestAirflowOps(TestCase):
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dagbag: DagBag
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dag: DAG
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conn = OpenMetadataConnection(hostPort="http://localhost:8585/api")
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metadata = OpenMetadata(conn)
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@classmethod
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def setUpClass(cls) -> None:
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"""
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Prepare ingredients
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"""
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db.resetdb()
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db.initdb()
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with DAG(
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"dag_status",
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description="A lineage test DAG",
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schedule_interval=datetime.timedelta(days=1),
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start_date=datetime.datetime(2021, 1, 1),
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) as cls.dag:
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BashOperator( # Using BashOperator as a random example
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task_id="task1",
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bash_command="date",
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)
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cls.dag.sync_to_db()
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cls.dagbag = DagBag(include_examples=False)
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@classmethod
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def tearDownClass(cls) -> None:
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"""
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Clean up
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"""
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service_id = str(
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cls.metadata.get_by_name(
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entity=DatabaseService, fqn="test-service-ops"
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).id.__root__
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)
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cls.metadata.delete(
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entity=DatabaseService,
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entity_id=service_id,
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recursive=True,
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hard_delete=True,
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)
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shutil.rmtree("/tmp/airflow")
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def test_dag_status(self):
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"""
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Validate:
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- DAG with no status
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- DAG with a single status
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- DAG with multiple status
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- Missing DAG
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"""
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res = status(dag_id="random")
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self.assertEqual(res.status_code, 404)
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self.assertEqual(res.json, {"error": "DAG random not found."})
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res = status(dag_id="dag_status")
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self.assertEqual(res.status_code, 200)
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self.assertEqual(res.json, [])
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self.dag.create_dagrun(
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run_type=DagRunType.MANUAL,
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state=DagRunState.RUNNING,
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execution_date=timezone.utcnow(),
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)
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res = status(dag_id="dag_status")
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self.assertEqual(res.status_code, 200)
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self.assertEqual(res.json[0].get("state"), "running")
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self.dag.create_dagrun(
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run_type=DagRunType.MANUAL,
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state=DagRunState.SUCCESS,
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execution_date=timezone.utcnow(),
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)
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res = status(dag_id="dag_status")
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self.assertEqual(res.status_code, 200)
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self.assertEqual(len(res.json), 2)
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res = kill_all(dag_id="dag_status")
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self.assertEqual(res.status_code, 200)
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self.assertEqual(
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res.json, {"message": f"Workflow [dag_status] has been killed"}
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)
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res = status(dag_id="dag_status")
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self.assertEqual(res.status_code, 200)
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res_status = {elem.get("state") for elem in res.json}
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self.assertEqual(res_status, {"failed", "success"})
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def test_dag_state(self):
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"""
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DAG can be enabled and disabled
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"""
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res = enable_dag(dag_id="random")
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self.assertEqual(res.status_code, 404)
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self.assertEqual(res.json, {"error": "DAG random not found."})
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res = enable_dag(dag_id="dag_status")
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self.assertEqual(res.status_code, 200)
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self.assertEqual(res.json, {"message": "DAG dag_status has been enabled"})
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res = disable_dag(dag_id="dag_status")
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self.assertEqual(res.status_code, 200)
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self.assertEqual(res.json, {"message": "DAG dag_status has been disabled"})
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def test_dag_deploy_and_delete(self):
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"""
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DAGs can be deployed
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"""
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service = self.metadata.create_or_update(
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CreateDatabaseServiceRequest(
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name="test-service-ops",
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serviceType=DatabaseServiceType.Mysql,
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connection=DatabaseConnection(
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config=MysqlConnection(
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username="username",
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password="password",
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hostPort="http://localhost:1234",
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)
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),
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)
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)
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ingestion_pipeline = IngestionPipeline(
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id=uuid.uuid4(),
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pipelineType=PipelineType.metadata,
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name="my_new_dag",
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sourceConfig=SourceConfig(config=DatabaseServiceMetadataPipeline()),
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openMetadataServerConnection=self.conn,
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airflowConfig=AirflowConfig(),
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service=EntityReference(
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id=service.id, type="databaseService", name="test-service-ops"
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),
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)
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# Create the DAG
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deployer = DagDeployer(ingestion_pipeline, self.dagbag)
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res = deployer.deploy()
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self.assertEqual(res.status_code, 200)
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self.assertEqual(
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res.json, {"message": "Workflow [my_new_dag] has been created"}
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)
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dag_file = Path("/tmp/airflow/dags/my_new_dag.py")
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self.assertTrue(dag_file.is_file())
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# Trigger it
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res = trigger(dag_id="my_new_dag", run_id=None)
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self.assertEqual(res.status_code, 200)
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self.assertIn("Workflow [my_new_dag] has been triggered", res.json["message"])
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# Delete it
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res = delete_dag_id("my_new_dag")
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self.assertEqual(res.status_code, 200)
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self.assertEqual(res.json, {"message": "DAG [my_new_dag] has been deleted"})
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self.assertFalse(dag_file.is_file())
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# Cannot find it anymore
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res = status(dag_id="my_new_dag")
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self.assertEqual(res.status_code, 404)
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