Feature/add slas

airflow_variables_dev.json

@@ -240,11 +240,41 @@
     "build_batch_stats": 180,
     "build_bq_insert_job": 180,
     "build_copy_table": 180,
-    "build_dbt_task": 300,
+    "build_dbt_task": 960,
     "build_delete_data_task": 180,
-    "build_export_task": 180,
+    "build_export_task": 420,
     "build_gcs_to_bq_task": 300,
-    "build_time_task": 120
+    "build_time_task": 480
+  },
+  "task_sla": {
+    "default": 60,
+    "build_time_task": 480,
+    "build_export_task": 840,
+    "enriched_history_operations": 540,
+    "current_state": 540,
+    "elementary_dbt_enriched_base_tables": 840,
+    "ohlc": 720,
+    "liquidity_pool_trade_volume": 1140,
+    "mgi": 660,
+    "liquidity_providers": 720,
+    "liquidity_pools_value": 840,
+    "liquidity_pools_value_history": 600,
+    "trade_agg": 720,
+    "fee_stats": 840,
+    "asset_stats": 720,
+    "network_stats": 720,
+    "partnership_assets": 660,
+    "history_assets": 720,
+    "soroban": 720,
+    "snapshot_state": 600,
+    "elementary_dbt_stellar_marts": 1620,
+    "create_sandbox": 2400,
+    "update_sandbox": 60,
+    "cleanup_metadata": 60,
+    "build_delete_data_task": 1020,
+    "build_batch_stats": 840,
+    "build_bq_insert_job": 1080,
+    "build_gcs_to_bq_task": 960
   },
   "dbt_tables": {
     "signers_current": "account_signers_current",

airflow_variables_prod.json

@@ -235,11 +235,41 @@
     "build_batch_stats": 180,
     "build_bq_insert_job": 180,
     "build_copy_table": 180,
-    "build_dbt_task": 6000,
+    "build_dbt_task": 1800,
     "build_delete_data_task": 180,
-    "build_export_task": 180,
+    "build_export_task": 300,
     "build_gcs_to_bq_task": 300,
-    "build_time_task": 120
+    "build_time_task": 360
+  },
+  "task_sla": {
+    "default": 60,
+    "build_time_task": 300,
+    "build_export_task": 600,
+    "enriched_history_operations": 960,
+    "current_state": 600,
+    "elementary_dbt_enriched_base_tables": 1080,
+    "ohlc": 960,
+    "liquidity_pool_trade_volume": 1200,
+    "mgi": 1020,
+    "liquidity_providers": 720,
+    "liquidity_pools_value": 360,
+    "liquidity_pools_value_history": 360,
+    "trade_agg": 1020,
+    "fee_stats": 360,
+    "asset_stats": 420,
+    "network_stats": 360,
+    "partnership_assets": 1380,
+    "history_assets": 360,
+    "soroban": 420,
+    "snapshot_state": 840,
+    "elementary_dbt_stellar_marts": 1560,
+    "create_sandbox": 1020,
+    "update_sandbox": 5460,
+    "cleanup_metadata": 60,
+    "build_delete_data_task": 780,
+    "build_batch_stats": 600,
+    "build_bq_insert_job": 840,
+    "build_gcs_to_bq_task": 660
   },
   "dbt_tables": {
     "signers_current": "account_signers_current",

dags/cleanup_metadata_dag.py

@@ -27,6 +27,7 @@
 from sqlalchemy.orm import load_only
 from stellar_etl_airflow.default import (
     alert_after_max_retries,
+    alert_sla_miss,
     get_default_dag_args,
     init_sentry,
 )
@@ -207,6 +208,7 @@
     default_args=get_default_dag_args(),
     schedule_interval="@daily",
     start_date=START_DATE,
+    sla_miss_callback=alert_sla_miss,
 )
 if hasattr(dag, "doc_md"):
     dag.doc_md = __doc__
@@ -249,6 +251,9 @@ def print_configuration_function(**context):
     python_callable=print_configuration_function,
     provide_context=True,
     dag=dag,
+    sla=timedelta(
+        seconds=Variable.get("task_sla", deserialize_json=True)["cleanup_metadata"]
+    ),
 )
 
 
@@ -444,6 +449,9 @@ def analyze_db():
     provide_context=True,
     on_failure_callback=alert_after_max_retries,
     dag=dag,
+    sla=timedelta(
+        seconds=Variable.get("task_sla", deserialize_json=True)["cleanup_metadata"]
+    ),
 )
 
 cleanup_session_op = PythonOperator(
@@ -452,6 +460,9 @@ def analyze_db():
     provide_context=True,
     on_failure_callback=alert_after_max_retries,
     dag=dag,
+    sla=timedelta(
+        seconds=Variable.get("task_sla", deserialize_json=True)["cleanup_metadata"]
+    ),
 )
 
 cleanup_session_op.set_downstream(analyze_op)
@@ -464,6 +475,9 @@ def analyze_db():
         provide_context=True,
         on_failure_callback=alert_after_max_retries,
         dag=dag,
+        sla=timedelta(
+            seconds=Variable.get("task_sla", deserialize_json=True)["cleanup_metadata"]
+        ),
     )
 
     print_configuration.set_downstream(cleanup_op)

dags/daily_euro_ohlc_dag.py

@@ -14,7 +14,7 @@
 )
 from stellar_etl_airflow.build_apply_gcs_changes_to_bq_task import read_local_schema
 from stellar_etl_airflow.build_coingecko_api_to_gcs_task import response_to_gcs
-from stellar_etl_airflow.default import alert_after_max_retries
+from stellar_etl_airflow.default import alert_after_max_retries, alert_sla_miss
 
 with DAG(
     dag_id="daily_euro_ohlc_dag",
@@ -26,6 +26,7 @@
     },
     user_defined_filters={"fromjson": lambda s: loads(s)},
     catchup=False,
+    sla_miss_callback=alert_sla_miss,
 ) as dag:
     currency_ohlc = Variable.get("currency_ohlc", deserialize_json=True)
     project_name = Variable.get("bq_project")

dags/dataset_reset_dag.py

@@ -12,7 +12,11 @@
     path_to_execute,
 )
 from stellar_etl_airflow.build_delete_data_for_reset_task import build_delete_data_task
-from stellar_etl_airflow.default import get_default_dag_args, init_sentry
+from stellar_etl_airflow.default import (
+    alert_sla_miss,
+    get_default_dag_args,
+    init_sentry,
+)
 
 init_sentry()
 
@@ -27,6 +31,7 @@
         "alias": "testnet-reset",
     },
     user_defined_filters={"fromjson": lambda s: loads(s)},
+    sla_miss_callback=alert_sla_miss,
 )
 
 internal_project = "test-hubble-319619"

dags/dbt_enriched_base_tables_dag.py

@@ -5,7 +5,11 @@
 from stellar_etl_airflow.build_cross_dependency_task import build_cross_deps
 from stellar_etl_airflow.build_dbt_task import dbt_task
 from stellar_etl_airflow.build_elementary_slack_alert_task import elementary_task
-from stellar_etl_airflow.default import get_default_dag_args, init_sentry
+from stellar_etl_airflow.default import (
+    alert_sla_miss,
+    get_default_dag_args,
+    init_sentry,
+)
 
 init_sentry()
 
@@ -21,6 +25,7 @@
     max_active_runs=1,
     catchup=False,
     tags=["dbt-enriched-base-tables"],
+    sla_miss_callback=alert_sla_miss,
 )
 
 # Wait on ingestion DAGs

dags/dbt_stellar_marts_dag.py

@@ -5,7 +5,11 @@
 from stellar_etl_airflow.build_cross_dependency_task import build_cross_deps
 from stellar_etl_airflow.build_dbt_task import dbt_task
 from stellar_etl_airflow.build_elementary_slack_alert_task import elementary_task
-from stellar_etl_airflow.default import get_default_dag_args, init_sentry
+from stellar_etl_airflow.default import (
+    alert_sla_miss,
+    get_default_dag_args,
+    init_sentry,
+)
 
 init_sentry()
 
@@ -21,6 +25,7 @@
     max_active_runs=3,
     catchup=True,
     tags=["dbt-stellar-marts"],
+    sla_miss_callback=alert_sla_miss,
 )
 
 # Wait on ingestion DAGs

dags/history_tables_dag.py

@@ -17,7 +17,11 @@
 from stellar_etl_airflow.build_export_task import build_export_task
 from stellar_etl_airflow.build_gcs_to_bq_task import build_gcs_to_bq_task
 from stellar_etl_airflow.build_time_task import build_time_task
-from stellar_etl_airflow.default import get_default_dag_args, init_sentry
+from stellar_etl_airflow.default import (
+    alert_sla_miss,
+    get_default_dag_args,
+    init_sentry,
+)
 
 init_sentry()
 
@@ -42,6 +46,7 @@
         "subtract_data_interval": macros.subtract_data_interval,
         "batch_run_date_as_datetime_string": macros.batch_run_date_as_datetime_string,
     },
+    sla_miss_callback=alert_sla_miss,
 )
 
 

dags/partner_pipeline_dag.py

@@ -13,6 +13,7 @@
 from stellar_etl_airflow.build_apply_gcs_changes_to_bq_task import read_local_schema
 from stellar_etl_airflow.default import (
     alert_after_max_retries,
+    alert_sla_miss,
     get_default_dag_args,
     init_sentry,
 )
@@ -30,6 +31,7 @@
     },
     render_template_as_native_obj=True,
     catchup=False,
+    sla_miss_callback=alert_sla_miss,
 ) as dag:
     PROJECT = "{{ var.value.bq_project }}"
     DATASET = "{{ var.value.bq_dataset }}"

dags/sandbox_create_dag.py

@@ -1,6 +1,7 @@
 """
 This DAG creates the sandbox dataset with transactions tables, state tables with history and views.
 """
+from datetime import timedelta
 from json import loads
 
 from airflow import DAG
@@ -13,6 +14,7 @@
 )
 from stellar_etl_airflow.default import (
     alert_after_max_retries,
+    alert_sla_miss,
     get_default_dag_args,
     init_sentry,
 )
@@ -29,6 +31,7 @@
         "fromjson": lambda s: loads(s),
     },
     catchup=False,
+    sla_miss_callback=alert_sla_miss,
 ) as dag:
     PROJECT = Variable.get("public_project")
     DATASET = Variable.get("public_dataset")
@@ -61,6 +64,11 @@
                 }
             },
             on_failure_callback=alert_after_max_retries,
+            sla=timedelta(
+                seconds=Variable.get("task_sla", deserialize_json=True)[
+                    "create_sandbox"
+                ]
+            ),
         )
 
         start_tables_task >> tables_create_task
@@ -85,5 +93,10 @@
                 }
             },
             on_failure_callback=alert_after_max_retries,
+            sla=timedelta(
+                seconds=Variable.get("task_sla", deserialize_json=True)[
+                    "create_sandbox"
+                ]
+            ),
         )
         start_views_task >> dbt_tables_create_task

dags/sandbox_update_dag.py

@@ -16,6 +16,7 @@
 from stellar_etl_airflow.build_cross_dependency_task import build_cross_deps
 from stellar_etl_airflow.default import (
     alert_after_max_retries,
+    alert_sla_miss,
     get_default_dag_args,
     init_sentry,
 )
@@ -36,6 +37,7 @@
         "subtract_data_interval": macros.subtract_data_interval,
         "batch_run_date_as_datetime_string": macros.batch_run_date_as_datetime_string,
     },
+    sla_miss_callback=alert_sla_miss,
 ) as dag:
     TABLES_ID = Variable.get("table_ids", deserialize_json=True)
     PROJECT = Variable.get("public_project")

dags/state_table_dag.py

@@ -15,7 +15,11 @@
 from stellar_etl_airflow.build_export_task import build_export_task
 from stellar_etl_airflow.build_gcs_to_bq_task import build_gcs_to_bq_task
 from stellar_etl_airflow.build_time_task import build_time_task
-from stellar_etl_airflow.default import get_default_dag_args, init_sentry
+from stellar_etl_airflow.default import (
+    alert_sla_miss,
+    get_default_dag_args,
+    init_sentry,
+)
 
 init_sentry()
 
@@ -40,6 +44,7 @@
         "batch_run_date_as_datetime_string": macros.batch_run_date_as_datetime_string,
     },
     catchup=True,
+    sla_miss_callback=alert_sla_miss,
 )
 
 

dags/stellar_etl_airflow/build_apply_gcs_changes_to_bq_task.py

@@ -3,6 +3,7 @@
 a file in Google Cloud storage into a BigQuery table.
 """
 import logging
+from datetime import timedelta
 from json import loads
 from os.path import basename, join, splitext
 
@@ -281,4 +282,7 @@ def build_apply_gcs_changes_to_bq_task(dag, data_type):
         dag=dag,
         provide_context=True,
         on_failure_callback=alert_after_max_retries,
+        sla=timedelta(
+            seconds=Variable.get("task_sla", deserialize_json=True)["default"]
+        ),
     )

dags/stellar_etl_airflow/build_batch_stats.py

@@ -35,4 +35,9 @@ def build_batch_stats(dag, table):
                 "useLegacySql": False,
             }
         },
+        sla=timedelta(
+            seconds=Variable.get("task_sla", deserialize_json=True)[
+                build_batch_stats.__name__
+            ]
+        ),
     )

dags/stellar_etl_airflow/build_bq_insert_job_task.py

@@ -85,4 +85,9 @@ def build_bq_insert_job(
         ),
         on_failure_callback=alert_after_max_retries,
         configuration=configuration,
+        sla=timedelta(
+            seconds=Variable.get("task_sla", deserialize_json=True)[
+                build_bq_insert_job.__name__
+            ]
+        ),
     )

dags/stellar_etl_airflow/build_copy_table_task.py

@@ -58,5 +58,8 @@ def build_copy_table(
             ]
         ),
         on_failure_callback=alert_after_max_retries,
+        sla=timedelta(
+            seconds=Variable.get("task_sla", deserialize_json=True)["default"]
+        ),
         configuration=configuration,
     )