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Added DAGs for grant management of BCTS data in ODS
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| from airflow import DAG | ||
| from pendulum import datetime | ||
| from kubernetes import client | ||
| from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator | ||
| from airflow.providers.cncf.kubernetes.secret import Secret | ||
| from datetime import timedelta | ||
| import os | ||
|
|
||
| LOB = 'lrm' | ||
| # For local development environment only. | ||
| ENV = os.getenv("AIRFLOW_ENV") | ||
|
|
||
| ods_secrets = Secret("env", None, f"{LOB}-ods-database") | ||
|
|
||
| if ENV == 'LOCAL': | ||
| default_args = { | ||
| 'owner': 'BCTS', | ||
| "email": ["[email protected]"], | ||
| 'retries': 2, | ||
| 'retry_delay': timedelta(minutes=5), | ||
| "email_on_failure": False, # No alerts in local environment | ||
| "email_on_retry": False, | ||
| } | ||
| else: | ||
| default_args = { | ||
| 'owner': 'BCTS', | ||
| "email": ["[email protected]"], | ||
| 'retries': 2, | ||
| 'retry_delay': timedelta(minutes=5), | ||
| "email_on_failure": True, | ||
| "email_on_retry": False, | ||
| } | ||
|
|
||
| with DAG( | ||
| start_date=datetime(2024, 11, 23), | ||
| catchup=False, | ||
| schedule='0 5 * * MON-FRI', | ||
| dag_id=f"apply-grants-{LOB}", | ||
| default_args=default_args, | ||
| description='DAG to apply grants to BCTS data in ODS', | ||
| ) as dag: | ||
|
|
||
| if ENV == 'LOCAL': | ||
|
|
||
| run_replication = KubernetesPodOperator( | ||
| task_id=f"apply_{LOB}_grants", | ||
| image="nrids-bcts-data-pg-access:main", | ||
| cmds=["python3", "./bcts_acces_apply_grants.py"], | ||
| # Following configs are different in the local development environment | ||
| # image_pull_policy="Always", | ||
| # in_cluster=True, | ||
| # service_account_name="airflow-admin", | ||
| name=f"apply_{LOB}_access_grants", | ||
| labels={"DataClass": "Medium", "ConnectionType": "database", "Release": "airflow"}, | ||
| is_delete_operator_pod=True, | ||
| secrets=[ods_secrets], | ||
| container_resources= client.V1ResourceRequirements( | ||
| requests={"cpu": "50m", "memory": "512Mi"}, | ||
| limits={"cpu": "100m", "memory": "1024Mi"}) | ||
| ) | ||
| else: | ||
| # In Dev, Test, and Prod Environments | ||
| run_replication = KubernetesPodOperator( | ||
| task_id=f"export_{LOB}_grants", | ||
| image="ghcr.io/bcgov/nr-dap-ods-bcts-pg-access:main", | ||
| cmds=["python3", "./bcts_acces_apply_grants.py"], | ||
| image_pull_policy="Always", | ||
| in_cluster=True, | ||
| service_account_name="airflow-admin", | ||
| name=f"apply_{LOB}_access_grants", | ||
| labels={"DataClass": "Medium", "ConnectionType": "database", "Release": "airflow"}, | ||
| is_delete_operator_pod=True, | ||
| secrets=[ods_secrets], | ||
| container_resources= client.V1ResourceRequirements( | ||
| requests={"cpu": "50m", "memory": "512Mi"}, | ||
| limits={"cpu": "100m", "memory": "1024Mi"}) | ||
| ) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| from airflow import DAG | ||
| from pendulum import datetime | ||
| from kubernetes import client | ||
| from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator | ||
| from airflow.providers.cncf.kubernetes.secret import Secret | ||
| from datetime import timedelta | ||
| import os | ||
|
|
||
| LOB = 'lrm' | ||
| # For local development environment only. | ||
| ENV = os.getenv("AIRFLOW_ENV") | ||
|
|
||
| ods_secrets = Secret("env", None, f"{LOB}-ods-database") | ||
|
|
||
| if ENV == 'LOCAL': | ||
| default_args = { | ||
| 'owner': 'BCTS', | ||
| "email": ["[email protected]"], | ||
| 'retries': 2, | ||
| 'retry_delay': timedelta(minutes=5), | ||
| "email_on_failure": False, # No alerts in local environment | ||
| "email_on_retry": False, | ||
| } | ||
| else: | ||
| default_args = { | ||
| 'owner': 'BCTS', | ||
| "email": ["[email protected]"], | ||
| 'retries': 2, | ||
| 'retry_delay': timedelta(minutes=5), | ||
| "email_on_failure": True, | ||
| "email_on_retry": False, | ||
| } | ||
|
|
||
| with DAG( | ||
| start_date=datetime(2024, 11, 23), | ||
| catchup=False, | ||
| schedule=None, | ||
| dag_id=f"export-grants-{LOB}", | ||
| default_args=default_args, | ||
| description='DAG to export the grants master file to ODS', | ||
| ) as dag: | ||
|
|
||
| if ENV == 'LOCAL': | ||
|
|
||
| run_replication = KubernetesPodOperator( | ||
| task_id=f"export_{LOB}_grants", | ||
| image="nrids-bcts-data-pg-access:main", | ||
| cmds=["python3", "./bcts_access_export_master_file.py"], | ||
| # Following configs are different in the local development environment | ||
| # image_pull_policy="Always", | ||
| # in_cluster=True, | ||
| # service_account_name="airflow-admin", | ||
| name=f"export_{LOB}_access_grants", | ||
| labels={"DataClass": "Medium", "ConnectionType": "database", "Release": "airflow"}, | ||
| is_delete_operator_pod=True, | ||
| secrets=[ods_secrets], | ||
| container_resources= client.V1ResourceRequirements( | ||
| requests={"cpu": "50m", "memory": "512Mi"}, | ||
| limits={"cpu": "100m", "memory": "1024Mi"}) | ||
| ) | ||
| else: | ||
| # In Dev, Test, and Prod Environments | ||
| run_replication = KubernetesPodOperator( | ||
| task_id=f"export_{LOB}_grants", | ||
| image="ghcr.io/bcgov/nr-dap-ods-bcts-pg-access:main", | ||
| cmds=["python3", "./bcts_access_export_master_file.py"], | ||
| image_pull_policy="Always", | ||
| in_cluster=True, | ||
| service_account_name="airflow-admin", | ||
| name=f"export_{LOB}_access_grants", | ||
| labels={"DataClass": "Medium", "ConnectionType": "database", "Release": "airflow"}, | ||
| is_delete_operator_pod=True, | ||
| secrets=[ods_secrets], | ||
| container_resources= client.V1ResourceRequirements( | ||
| requests={"cpu": "50m", "memory": "512Mi"}, | ||
| limits={"cpu": "100m", "memory": "1024Mi"}) | ||
| ) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,80 @@ | ||
| from airflow import DAG | ||
| from pendulum import datetime | ||
| from kubernetes import client | ||
| from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator | ||
| from airflow.providers.cncf.kubernetes.secret import Secret | ||
| from datetime import timedelta | ||
| import os | ||
|
|
||
| LOB = 'lrm' | ||
| sql_file_path = './Annual_Developed_Volume_Query.sql' | ||
| # For local development environment only. | ||
| ENV = os.getenv("AIRFLOW_ENV") | ||
|
|
||
| ods_secrets = Secret("env", None, f"{LOB}-ods-database") | ||
|
|
||
| if ENV == 'LOCAL': | ||
| default_args = { | ||
| 'owner': 'BCTS', | ||
| "email": ["[email protected]"], | ||
| 'retries': 2, | ||
| 'retry_delay': timedelta(minutes=5), | ||
| "email_on_failure": False, # No alerts in local environment | ||
| "email_on_retry": False, | ||
| } | ||
| else: | ||
| default_args = { | ||
| 'owner': 'BCTS', | ||
| "email": ["[email protected]"], | ||
| 'retries': 2, | ||
| 'retry_delay': timedelta(minutes=5), | ||
| "email_on_failure": True, | ||
| "email_on_retry": False, | ||
| } | ||
|
|
||
| with DAG( | ||
| start_date=datetime(2024, 11, 23), | ||
| catchup=False, | ||
| schedule='0 5 * * MON-FRI', | ||
| dag_id=f"transformations-{LOB}", | ||
| default_args=default_args, | ||
| description='DAG to run the transformations in ODS for BCTS Annual Developed Volume Dashboard', | ||
| ) as dag: | ||
|
|
||
| if ENV == 'LOCAL': | ||
|
|
||
| run_replication = KubernetesPodOperator( | ||
| task_id="run_transformation", | ||
| image="nrids-bcts-data-pg-transformations:main", | ||
| cmds=["python3", "./bcts_etl.py"], | ||
| arguments=[sql_file_path], | ||
| # Following configs are different in the local development environment | ||
| # image_pull_policy="Always", | ||
| # in_cluster=True, | ||
| # service_account_name="airflow-admin", | ||
| name=f"run_{LOB}_transformation_annual_developed_volume", | ||
| labels={"DataClass": "Medium", "ConnectionType": "database", "Release": "airflow"}, | ||
| is_delete_operator_pod=True, | ||
| secrets=[ods_secrets], | ||
| container_resources= client.V1ResourceRequirements( | ||
| requests={"cpu": "50m", "memory": "512Mi"}, | ||
| limits={"cpu": "100m", "memory": "1024Mi"}) | ||
| ) | ||
| else: | ||
| # In Dev, Test, and Prod Environments | ||
| run_replication = KubernetesPodOperator( | ||
| task_id="run_replication", | ||
| image="ghcr.io/bcgov/nr-dap-ods-pg-transformations:main", | ||
| cmds=["python3", "./bcts_etl.py"], | ||
| arguments=[sql_file_path], | ||
| image_pull_policy="Always", | ||
| in_cluster=True, | ||
| service_account_name="airflow-admin", | ||
| name=f"run_{LOB}_transformation_annual_developed_volume", | ||
| labels={"DataClass": "Medium", "ConnectionType": "database", "Release": "airflow"}, | ||
| is_delete_operator_pod=True, | ||
| secrets=[ods_secrets], | ||
| container_resources= client.V1ResourceRequirements( | ||
| requests={"cpu": "50m", "memory": "512Mi"}, | ||
| limits={"cpu": "100m", "memory": "1024Mi"}) | ||
| ) |
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