airflow.providers.google.cloud.operators.life_sciences¶
Operators that interact with Google Cloud Life Sciences service.
Module Contents¶
-
class
airflow.providers.google.cloud.operators.life_sciences.LifeSciencesRunPipelineOperator(*, body: dict, location: str, project_id: Optional[str] = None, gcp_conn_id: str = 'google_cloud_default', api_version: str = 'v2beta', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs)[source]¶ Bases:
airflow.models.BaseOperatorRuns a Life Sciences Pipeline
See also
For more information on how to use this operator, take a look at the guide: Running a pipeline
- Parameters
body (dict) – The request body
location (str) – The location of the project
project_id – ID of the Google Cloud project if None then default project_id is used.
project_id – str
gcp_conn_id (str) – The connection ID to use to connect to Google Cloud.
api_version (str) – API version used (for example v2beta).
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).