Source code for airflow.providers.google.firebase.operators.firestore

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from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.providers.google.firebase.hooks.firestore import CloudFirestoreHook

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class CloudFirestoreExportDatabaseOperator(BaseOperator): """ Exports a copy of all or a subset of documents from Google Cloud Firestore to another storage system, such as Google Cloud Storage. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:CloudFirestoreExportDatabaseOperator` :param database_id: The Database ID. :param body: The request body. See: https://firebase.google.com/docs/firestore/reference/rest/v1beta1/projects.databases/exportDocuments :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 v1 or v1beta1). :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, database_id: str = "(default)", project_id: str | None = None, gcp_conn_id: str = "google_cloud_default", api_version: str = "v1", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.database_id = database_id self.body = body 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")
[docs] def execute(self, context: Context): hook = CloudFirestoreHook( gcp_conn_id=self.gcp_conn_id, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) return hook.export_documents(database_id=self.database_id, body=self.body, project_id=self.project_id)

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