Source code for airflow.providers.google.cloud.operators.life_sciences
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"""Operators that interact with Google Cloud Life Sciences service."""
from __future__ import annotations
from typing import TYPE_CHECKING, Sequence
from airflow.exceptions import AirflowException
from airflow.providers.google.cloud.hooks.life_sciences import LifeSciencesHook
from airflow.providers.google.cloud.links.life_sciences import LifeSciencesLink
from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class LifeSciencesRunPipelineOperator(GoogleCloudBaseOperator):
"""
Runs a Life Sciences Pipeline.
.. 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
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)
