`airflow.providers.amazon.aws.sensors.quicksight`¶

Module Contents¶

Watches for the status of an Amazon QuickSight Ingestion.

class airflow.providers.amazon.aws.sensors.quicksight.QuickSightSensor(*, data_set_id, ingestion_id, **kwargs)[source]¶

Bases: airflow.providers.amazon.aws.sensors.base_aws.AwsBaseSensor[airflow.providers.amazon.aws.hooks.quicksight.QuickSightHook]

Watches for the status of an Amazon QuickSight Ingestion.

See also

For more information on how to use this sensor, take a look at the guide: Amazon QuickSight ingestion sensor

Parameters

data_set_id (str) – ID of the dataset used in the ingestion.
ingestion_id (str) – ID for the ingestion.
aws_conn_id – The Airflow connection used for AWS credentials. If this is None or empty then the default boto3 behaviour is used. If running Airflow in a distributed manner and aws_conn_id is None or empty, then default boto3 configuration would be used (and must be maintained on each worker node).
region_name – AWS region_name. If not specified then the default boto3 behaviour is used.
verify – Whether or not to verify SSL certificates. See: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html
botocore_config – Configuration dictionary (key-values) for botocore client. See: https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html

template_fields: collections.abc.Sequence[str] = ('data_set_id', 'ingestion_id', 'aws_conn_id')[source]¶

poke(context)[source]¶

Pokes until the QuickSight Ingestion has successfully finished.

Parameters: context (airflow.utils.context.Context) – The task context during execution.
Returns: True if it COMPLETED and False if not.
Return type: bool