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

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"""Hook for Google Cloud Firestore service."""

from __future__ import annotations

import time
from collections.abc import Sequence

from googleapiclient.discovery import build, build_from_document

from airflow.exceptions import AirflowException
from airflow.providers.google.common.hooks.base_google import PROVIDE_PROJECT_ID, GoogleBaseHook

# Time to sleep between active checks of the operation results
[docs]TIME_TO_SLEEP_IN_SECONDS = 5
[docs]class CloudFirestoreHook(GoogleBaseHook): """ Hook for the Google Firestore 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). :param gcp_conn_id: The connection ID to use when fetching connection info. :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. """ _conn: build | None = None def __init__( self, api_version: str = "v1", gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, ) -> None: super().__init__( gcp_conn_id=gcp_conn_id, impersonation_chain=impersonation_chain, ) self.api_version = api_version
[docs] def get_conn(self): """ Retrieve the connection to Cloud Firestore. :return: Google Cloud Firestore services object. """ if not self._conn: http_authorized = self._authorize() # We cannot use an Authorized Client to retrieve discovery document due to an error in the API. # When the authorized customer will send a request to the address below # https://www.googleapis.com/discovery/v1/apis/firestore/v1/rest # then it will get the message below: # > Request contains an invalid argument. # At the same time, the Non-Authorized Client has no problems. non_authorized_conn = build("firestore", self.api_version, cache_discovery=False) self._conn = build_from_document(non_authorized_conn._rootDesc, http=http_authorized) return self._conn
@GoogleBaseHook.fallback_to_default_project_id
[docs] def export_documents( self, body: dict, database_id: str = "(default)", project_id: str = PROVIDE_PROJECT_ID ) -> None: """ Start a export with the specified configuration. :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: Optional, Google Cloud Project project_id where the database belongs. If set to None or missing, the default project_id from the Google Cloud connection is used. """ service = self.get_conn() name = f"projects/{project_id}/databases/{database_id}" operation = ( service.projects() .databases() .exportDocuments(name=name, body=body) .execute(num_retries=self.num_retries) ) self._wait_for_operation_to_complete(operation["name"])
def _wait_for_operation_to_complete(self, operation_name: str) -> None: """ Wait for the named operation to complete - checks status of the asynchronous call. :param operation_name: The name of the operation. :return: The response returned by the operation. :exception: AirflowException in case error is returned. """ service = self.get_conn() while True: operation_response = ( service.projects() .databases() .operations() .get(name=operation_name) .execute(num_retries=self.num_retries) ) if operation_response.get("done"): response = operation_response.get("response") error = operation_response.get("error") # Note, according to documentation always either response or error is # set when "done" == True if error: raise AirflowException(str(error)) return response time.sleep(TIME_TO_SLEEP_IN_SECONDS)

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