airflow.providers.google.cloud.sensors.cloud_storage_transfer_service

This module contains a Google Cloud Transfer sensor.

Module Contents

class airflow.providers.google.cloud.sensors.cloud_storage_transfer_service.CloudDataTransferServiceJobStatusSensor(*, job_name: str, expected_statuses: Union[Set[str], str], project_id: Optional[str] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]

Bases: airflow.sensors.base.BaseSensorOperator

Waits for at least one operation belonging to the job to have the expected status.

See also

For more information on how to use this operator, take a look at the guide: CloudDataTransferServiceJobStatusSensor

Parameters
  • job_name (str) – The name of the transfer job

  • expected_statuses (set[str] or string) – The expected state of the operation. See: https://cloud.google.com/storage-transfer/docs/reference/rest/v1/transferOperations#Status

  • project_id (str) – (Optional) the ID of the project that owns the Transfer Job. If set to None or missing, the default project_id from the Google Cloud connection is used.

  • gcp_conn_id (str) – The connection ID used to connect to Google Cloud.

  • impersonation_chain (Union[str, Sequence[str]]) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields = ['job_name', 'impersonation_chain'][source]
poke(self, context: dict)[source]

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