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"""Operators that interact with Google Cloud Life Sciences service."""
from __future__ import annotations

import warnings
from typing import TYPE_CHECKING, Sequence

from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning
from import LifeSciencesHook
from import LifeSciencesLink
from import GoogleCloudBaseOperator

    from airflow.utils.context import Context

[docs]class LifeSciencesRunPipelineOperator(GoogleCloudBaseOperator): """ Runs a Life Sciences Pipeline. .. warning:: This operator is deprecated. Consider using Google Cloud Batch Operators instead. The Life Sciences API (beta) will be discontinued on July 8, 2025 in favor of Google Cloud Batch. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:LifeSciencesRunPipelineOperator` :param body: The request body :param location: The location of the project :param project_id: ID of the Google Cloud project if None then default project_id is used. :param gcp_conn_id: The connection ID to use to connect to Google Cloud. :param api_version: API version used (for example v2beta). :param impersonation_chain: 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). """
[docs] template_fields: Sequence[str] = ( "body", "gcp_conn_id", "api_version", "impersonation_chain", )
def __init__( self, *, body: dict, location: str, project_id: str | None = None, gcp_conn_id: str = "google_cloud_default", api_version: str = "v2beta", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.body = body self.location = location self.project_id = project_id self.gcp_conn_id = gcp_conn_id self.api_version = api_version self._validate_inputs() self.impersonation_chain = impersonation_chain warnings.warn( """This operator is deprecated. Consider using Google Cloud Batch Operators instead. The Life Sciences API (beta) will be discontinued on July 8, 2025 in favor of Google Cloud Batch.""", AirflowProviderDeprecationWarning, stacklevel=3, ) def _validate_inputs(self) -> None: if not self.body: raise AirflowException("The required parameter 'body' is missing") if not self.location: raise AirflowException("The required parameter 'location' is missing")
[docs] def execute(self, context: Context) -> dict: hook = LifeSciencesHook( gcp_conn_id=self.gcp_conn_id, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) project_id = self.project_id or hook.project_id if project_id: LifeSciencesLink.persist( context=context, task_instance=self, project_id=project_id, ) return hook.run_pipeline(body=self.body, location=self.location, project_id=self.project_id)

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