airflow.providers.google.marketing_platform.sensors.display_video

Sensor for detecting the completion of DV360 reports.

Classes

GoogleDisplayVideo360GetSDFDownloadOperationSensor

Sensor for detecting the completion of SDF operation.

GoogleDisplayVideo360RunQuerySensor

Sensor for detecting the completion of DV360 reports for API v2.

Module Contents

class airflow.providers.google.marketing_platform.sensors.display_video.GoogleDisplayVideo360GetSDFDownloadOperationSensor(operation_name, api_version='v1', gcp_conn_id='google_cloud_default', mode='reschedule', poke_interval=60 * 5, impersonation_chain=None, *args, **kwargs)[source]

Bases: airflow.sensors.base.BaseSensorOperator

Sensor for detecting the completion of SDF operation.

See also

For more information on how to use this operator, take a look at the guide: Waiting for SDF operation

Parameters:

  • operation_name (str) – The name of the operation resource

  • api_version (str) – The version of the api that will be requested for example ‘v1’.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – 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: collections.abc.Sequence[str] = ('operation_name', 'impersonation_chain')[source]
mode = 'reschedule'[source]
poke_interval = 300[source]
operation_name[source]
api_version = 'v1'[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
poke(context)[source]

Override when deriving this class.

class airflow.providers.google.marketing_platform.sensors.display_video.GoogleDisplayVideo360RunQuerySensor(*, query_id, report_id, api_version='v2', gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]

Bases: airflow.sensors.base.BaseSensorOperator

Sensor for detecting the completion of DV360 reports for API v2.

See also

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

Parameters:

  • query_id (str) – Query ID for which report was generated

  • report_id (str) – Report ID for which you want to wait

  • api_version (str) – The version of the api that will be requested for example ‘v3’.

  • gcp_conn_id (str) – The connection ID to use when fetching connection info.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – 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: collections.abc.Sequence[str] = ('query_id', 'report_id', 'impersonation_chain')[source]
query_id[source]
report_id[source]
api_version = 'v2'[source]
gcp_conn_id = 'google_cloud_default'[source]
impersonation_chain = None[source]
poke(context)[source]

Override when deriving this class.

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