docs-archive/apache-airflow-providers-google/1.0.0/_sources/_api/airflow/providers/google/cloud/hooks/life_sciences/index.rst.txt

:mod:`airflow.providers.google.cloud.hooks.life_sciences`
=========================================================

.. py:module:: airflow.providers.google.cloud.hooks.life_sciences

.. autoapi-nested-parse::

   Hook for Google Cloud Life Sciences service



Module Contents
---------------

.. data:: TIME_TO_SLEEP_IN_SECONDS
   :annotation: = 5

   

.. py:class:: LifeSciencesHook(api_version: str = 'v2beta', gcp_conn_id: str = 'google_cloud_default', delegate_to: Optional[str] = None, impersonation_chain: Optional[Union[str, Sequence[str]]] = None)

   Bases: :class:`airflow.providers.google.common.hooks.base_google.GoogleBaseHook`

   Hook for the Google Cloud Life Sciences APIs.

   All the methods in the hook where project_id is used must be called with
   keyword arguments rather than positional.

   :param api_version: API version used (for example v1 or v1beta1).
   :type api_version: str
   :param gcp_conn_id: The connection ID to use when fetching connection info.
   :type gcp_conn_id: str
   :param delegate_to: The account to impersonate using domain-wide delegation of authority,
       if any. For this to work, the service account making the request must have
       domain-wide delegation enabled.
   :type delegate_to: str
   :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.
   :type impersonation_chain: Union[str, Sequence[str]]

   .. attribute:: _conn
      :annotation: :Optional[Any]

      

   
   .. method:: get_conn(self)

      Retrieves the connection to Cloud Life Sciences.

      :return: Google Cloud Life Sciences service object.



   
   .. method:: run_pipeline(self, body: dict, location: str, project_id: str)

      Runs a pipeline

      :param body: The request body.
      :type body: dict
      :param location: The location of the project. For example: "us-east1".
      :type location: str
      :param project_id: Optional, Google Cloud Project project_id where the function belongs.
          If set to None or missing, the default project_id from the Google Cloud connection is used.
      :type project_id: str
      :rtype: dict



   
   .. method:: _location_path(self, project_id: str, location: str)

      Return a location string.

      :param project_id: Optional, Google Cloud Project project_id where the
          function belongs. If set to None or missing, the default project_id
          from the Google Cloud connection is used.
      :type project_id: str
      :param location: The location of the project. For example: "us-east1".
      :type location: str



   
   .. method:: _wait_for_operation_to_complete(self, operation_name: str)

      Waits for the named operation to complete - checks status of the
      asynchronous call.

      :param operation_name: The name of the operation.
      :type operation_name: str
      :return: The response returned by the operation.
      :rtype: dict
      :exception: AirflowException in case error is returned.