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Merge pull request #643 from prefeitura-rio/staging/cor-precipitacao-…
…alertario adding inea pluviometer and fluviometer flows
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pipelines/rj_cor/meteorologia/precipitacao_inea/flows.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,240 @@ | ||
| # -*- coding: utf-8 -*- | ||
| # pylint: disable=C0103 | ||
| """ | ||
| Flows for precipitacao_inea. | ||
| """ | ||
| from datetime import timedelta | ||
|
|
||
| from prefect import case, Parameter | ||
| from prefect.run_configs import KubernetesRun | ||
| from prefect.storage import GCS | ||
| from prefect.tasks.prefect import create_flow_run | ||
|
|
||
| from pipelines.constants import constants | ||
| from pipelines.utils.constants import constants as utils_constants | ||
| from pipelines.utils.custom import wait_for_flow_run_with_timeout | ||
| from pipelines.rj_cor.meteorologia.precipitacao_inea.tasks import ( | ||
| check_for_new_stations, | ||
| check_new_data, | ||
| download_data, | ||
| treat_data, | ||
| save_data, | ||
| wait_task, | ||
| ) | ||
| from pipelines.rj_cor.meteorologia.precipitacao_inea.schedules import ( | ||
| minute_schedule, | ||
| ) | ||
| from pipelines.utils.decorators import Flow | ||
| from pipelines.utils.dump_db.constants import constants as dump_db_constants | ||
| from pipelines.utils.dump_to_gcs.constants import constants as dump_to_gcs_constants | ||
| from pipelines.utils.tasks import ( | ||
| create_table_and_upload_to_gcs, | ||
| get_current_flow_labels, | ||
| ) | ||
|
|
||
| wait_for_flow_run_with_2min_timeout = wait_for_flow_run_with_timeout( | ||
| timeout=timedelta(minutes=2) | ||
| ) | ||
|
|
||
| with Flow( | ||
| name="COR: Meteorologia - Precipitacao e Fluviometria INEA", | ||
| code_owners=[ | ||
| "paty", | ||
| ], | ||
| # skip_if_running=True, | ||
| ) as cor_meteorologia_precipitacao_inea: | ||
| DUMP_MODE = Parameter("dump_mode", default="append", required=True) | ||
| DATASET_ID_PLUVIOMETRIC = Parameter( | ||
| "dataset_id_pluviometric", default="clima_pluviometro", required=True | ||
| ) | ||
| TABLE_ID_PLUVIOMETRIC = Parameter( | ||
| "table_id_pluviometric", default="taxa_precipitacao_inea", required=True | ||
| ) | ||
| DATASET_ID_FLUVIOMETRIC = Parameter( | ||
| "dataset_id_fluviometric", default="clima_fluviometro", required=True | ||
| ) | ||
| TABLE_ID_FLUVIOMETRIC = Parameter( | ||
| "table_id_fluviometric", default="lamina_agua_inea", required=True | ||
| ) | ||
|
|
||
| # Materialization parameters | ||
| MATERIALIZE_AFTER_DUMP = Parameter( | ||
| "materialize_after_dump", default=True, required=False | ||
| ) | ||
| MATERIALIZE_TO_DATARIO = Parameter( | ||
| "materialize_to_datario", default=True, required=False | ||
| ) | ||
| MATERIALIZATION_MODE = Parameter("mode", default="prod", required=False) | ||
|
|
||
| # Dump to GCS after? Should only dump to GCS if materializing to datario | ||
| DUMP_TO_GCS = Parameter("dump_to_gcs", default=False, required=False) | ||
|
|
||
| MAXIMUM_BYTES_PROCESSED = Parameter( | ||
| "maximum_bytes_processed", | ||
| required=False, | ||
| default=dump_to_gcs_constants.MAX_BYTES_PROCESSED_PER_TABLE.value, | ||
| ) | ||
|
|
||
| dataframe = download_data() | ||
| dfr_pluviometric, dfr_fluviometric = treat_data( | ||
| dataframe=dataframe, | ||
| dataset_id=DATASET_ID_PLUVIOMETRIC, | ||
| table_id=TABLE_ID_PLUVIOMETRIC, | ||
| mode=MATERIALIZATION_MODE, | ||
| ) | ||
| new_pluviometric_data, new_fluviometric_data = check_new_data( | ||
| dfr_pluviometric, dfr_fluviometric | ||
| ) | ||
|
|
||
| with case(new_pluviometric_data, True): | ||
| path_pluviometric = save_data( | ||
| dataframe=dfr_pluviometric, folder_name="pluviometer" | ||
| ) | ||
|
|
||
| # Create pluviometric table in BigQuery | ||
| UPLOAD_TABLE_PLUVIOMETRIC = create_table_and_upload_to_gcs( | ||
| data_path=path_pluviometric, | ||
| dataset_id=DATASET_ID_PLUVIOMETRIC, | ||
| table_id=TABLE_ID_PLUVIOMETRIC, | ||
| dump_mode=DUMP_MODE, | ||
| wait=path_pluviometric, | ||
| ) | ||
|
|
||
| # Trigger pluviometric DBT flow run | ||
| with case(MATERIALIZE_AFTER_DUMP, True): | ||
| current_flow_labels = get_current_flow_labels() | ||
| materialization_flow = create_flow_run( | ||
| flow_name=utils_constants.FLOW_EXECUTE_DBT_MODEL_NAME.value, | ||
| project_name=constants.PREFECT_DEFAULT_PROJECT.value, | ||
| parameters={ | ||
| "dataset_id": DATASET_ID_PLUVIOMETRIC, | ||
| "table_id": TABLE_ID_PLUVIOMETRIC, | ||
| "mode": MATERIALIZATION_MODE, | ||
| "materialize_to_datario": MATERIALIZE_TO_DATARIO, | ||
| }, | ||
| labels=current_flow_labels, | ||
| run_name=f"Materialize {DATASET_ID_PLUVIOMETRIC}.{TABLE_ID_PLUVIOMETRIC}", | ||
| ) | ||
|
|
||
| materialization_flow.set_upstream(current_flow_labels) | ||
|
|
||
| wait_for_materialization = wait_for_flow_run_with_2min_timeout( | ||
| flow_run_id=materialization_flow, | ||
| stream_states=True, | ||
| stream_logs=True, | ||
| raise_final_state=True, | ||
| ) | ||
| wait_for_materialization.max_retries = ( | ||
| dump_db_constants.WAIT_FOR_MATERIALIZATION_RETRY_ATTEMPTS.value | ||
| ) | ||
| wait_for_materialization.retry_delay = timedelta( | ||
| seconds=dump_db_constants.WAIT_FOR_MATERIALIZATION_RETRY_INTERVAL.value | ||
| ) | ||
|
|
||
| with case(DUMP_TO_GCS, True): | ||
| # Trigger Dump to GCS flow run with project id as datario | ||
| dump_to_gcs_flow = create_flow_run( | ||
| flow_name=utils_constants.FLOW_DUMP_TO_GCS_NAME.value, | ||
| project_name=constants.PREFECT_DEFAULT_PROJECT.value, | ||
| parameters={ | ||
| "project_id": "datario", | ||
| "dataset_id": DATASET_ID_PLUVIOMETRIC, | ||
| "table_id": TABLE_ID_PLUVIOMETRIC, | ||
| "maximum_bytes_processed": MAXIMUM_BYTES_PROCESSED, | ||
| }, | ||
| labels=[ | ||
| "datario", | ||
| ], | ||
| run_name=f"Dump to GCS {DATASET_ID_PLUVIOMETRIC}.{TABLE_ID_PLUVIOMETRIC}", | ||
| ) | ||
| dump_to_gcs_flow.set_upstream(wait_for_materialization) | ||
|
|
||
| wait_for_dump_to_gcs = wait_for_flow_run_with_2min_timeout( | ||
| flow_run_id=dump_to_gcs_flow, | ||
| stream_states=True, | ||
| stream_logs=True, | ||
| raise_final_state=True, | ||
| ) | ||
|
|
||
| status = wait_task() | ||
| status.set_upstream(UPLOAD_TABLE_PLUVIOMETRIC) | ||
| with case(new_fluviometric_data, True): | ||
| path_fluviometric = save_data( | ||
| dataframe=dfr_fluviometric, folder_name="fluviometer" | ||
| ) | ||
| path_fluviometric.set_upstream(status) | ||
|
|
||
| # Create fluviometric table in BigQuery | ||
| UPLOAD_TABLE_FLUVIOMETRIC = create_table_and_upload_to_gcs( | ||
| data_path=path_fluviometric, | ||
| dataset_id=DATASET_ID_FLUVIOMETRIC, | ||
| table_id=TABLE_ID_FLUVIOMETRIC, | ||
| dump_mode=DUMP_MODE, | ||
| wait=path_fluviometric, | ||
| ) | ||
|
|
||
| # Trigger DBT flow run | ||
| with case(MATERIALIZE_AFTER_DUMP, True): | ||
| current_flow_labels = get_current_flow_labels() | ||
| materialization_flow = create_flow_run( | ||
| flow_name=utils_constants.FLOW_EXECUTE_DBT_MODEL_NAME.value, | ||
| project_name=constants.PREFECT_DEFAULT_PROJECT.value, | ||
| parameters={ | ||
| "dataset_id": DATASET_ID_FLUVIOMETRIC, | ||
| "table_id": TABLE_ID_FLUVIOMETRIC, | ||
| "mode": MATERIALIZATION_MODE, | ||
| "materialize_to_datario": MATERIALIZE_TO_DATARIO, | ||
| }, | ||
| labels=current_flow_labels, | ||
| run_name=f"Materialize {DATASET_ID_FLUVIOMETRIC}.{TABLE_ID_FLUVIOMETRIC}", | ||
| ) | ||
|
|
||
| materialization_flow.set_upstream(current_flow_labels) | ||
|
|
||
| wait_for_materialization = wait_for_flow_run_with_2min_timeout( | ||
| flow_run_id=materialization_flow, | ||
| stream_states=True, | ||
| stream_logs=True, | ||
| raise_final_state=True, | ||
| ) | ||
| wait_for_materialization.max_retries = ( | ||
| dump_db_constants.WAIT_FOR_MATERIALIZATION_RETRY_ATTEMPTS.value | ||
| ) | ||
| wait_for_materialization.retry_delay = timedelta( | ||
| seconds=dump_db_constants.WAIT_FOR_MATERIALIZATION_RETRY_INTERVAL.value | ||
| ) | ||
|
|
||
| with case(DUMP_TO_GCS, True): | ||
| # Trigger Dump to GCS flow run with project id as datario | ||
| dump_to_gcs_flow = create_flow_run( | ||
| flow_name=utils_constants.FLOW_DUMP_TO_GCS_NAME.value, | ||
| project_name=constants.PREFECT_DEFAULT_PROJECT.value, | ||
| parameters={ | ||
| "project_id": "datario", | ||
| "dataset_id": DATASET_ID_FLUVIOMETRIC, | ||
| "table_id": TABLE_ID_FLUVIOMETRIC, | ||
| "maximum_bytes_processed": MAXIMUM_BYTES_PROCESSED, | ||
| }, | ||
| labels=[ | ||
| "datario", | ||
| ], | ||
| run_name=f"Dump to GCS {DATASET_ID_FLUVIOMETRIC}.{TABLE_ID_FLUVIOMETRIC}", | ||
| ) | ||
| dump_to_gcs_flow.set_upstream(wait_for_materialization) | ||
|
|
||
| wait_for_dump_to_gcs = wait_for_flow_run_with_2min_timeout( | ||
| flow_run_id=dump_to_gcs_flow, | ||
| stream_states=True, | ||
| stream_logs=True, | ||
| raise_final_state=True, | ||
| ) | ||
|
|
||
| check_for_new_stations(dataframe, wait=UPLOAD_TABLE_PLUVIOMETRIC) | ||
|
|
||
| # para rodar na cloud | ||
| cor_meteorologia_precipitacao_inea.storage = GCS(constants.GCS_FLOWS_BUCKET.value) | ||
| cor_meteorologia_precipitacao_inea.run_config = KubernetesRun( | ||
| image=constants.DOCKER_IMAGE.value, | ||
| labels=[constants.RJ_COR_AGENT_LABEL.value], | ||
| ) | ||
| cor_meteorologia_precipitacao_inea.schedule = minute_schedule |
34 changes: 34 additions & 0 deletions
34
pipelines/rj_cor/meteorologia/precipitacao_inea/schedules.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,34 @@ | ||
| # -*- coding: utf-8 -*- | ||
| # pylint: disable=C0103 | ||
| """ | ||
| Schedules for precipitacao_inea | ||
| Rodar a cada 1 minuto | ||
| """ | ||
| from datetime import timedelta, datetime | ||
| from prefect.schedules import Schedule | ||
| from prefect.schedules.clocks import IntervalClock | ||
| from pipelines.constants import constants | ||
|
|
||
| minute_schedule = Schedule( | ||
| clocks=[ | ||
| IntervalClock( | ||
| interval=timedelta(minutes=5), | ||
| start_date=datetime(2023, 1, 1, 0, 1, 0), | ||
| labels=[ | ||
| constants.RJ_COR_AGENT_LABEL.value, | ||
| ], | ||
| parameter_defaults={ | ||
| # "trigger_rain_dashboard_update": True, | ||
| "materialize_after_dump": True, | ||
| "mode": "prod", | ||
| "materialize_to_datario": True, | ||
| "dump_to_gcs": False, | ||
| "dump_mode": "append", | ||
| "dataset_id_pluviometric": "clima_pluviometro", | ||
| "table_id_pluviometric": "taxa_precipitacao_inea", | ||
| "dataset_id_fluviometric": "clima_fluviometro", | ||
| "table_id_fluviometric": "lamina_agua_inea", | ||
| }, | ||
| ), | ||
| ] | ||
| ) |
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