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from __future__ import annotations

import csv
from tempfile import NamedTemporaryFile
from typing import Any, Sequence

from airflow.models import BaseOperator
from import GCSHook
from import GSheetsHook

[docs]class GCSToGoogleSheetsOperator(BaseOperator): """ Uploads .csv file from Google Cloud Storage to provided Google Spreadsheet. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GCSToGoogleSheets` :param spreadsheet_id: The Google Sheet ID to interact with. :param bucket_name: Name of GCS bucket.: :param object_name: Path to the .csv file on the GCS bucket. :param spreadsheet_range: The A1 notation of the values to retrieve. :param gcp_conn_id: The connection ID to use when fetching connection info. :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. This only applies to the Google Sheet Connection :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] = ( "spreadsheet_id", "bucket_name", "object_name", "spreadsheet_range", "impersonation_chain", )
def __init__( self, *, spreadsheet_id: str, bucket_name: str, object_name: str, spreadsheet_range: str = "Sheet1", gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, delegate_to: str | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.gcp_conn_id = gcp_conn_id self.spreadsheet_id = spreadsheet_id self.spreadsheet_range = spreadsheet_range self.bucket_name = bucket_name self.object_name = object_name self.impersonation_chain = impersonation_chain self.delegate_to = delegate_to
[docs] def execute(self, context: Any) -> None: sheet_hook = GSheetsHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, delegate_to=self.delegate_to, ) gcs_hook = GCSHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) with NamedTemporaryFile("w+") as temp_file: # Download data bucket_name=self.bucket_name, object_name=self.object_name,, ) # Upload data values = list(csv.reader(temp_file)) sheet_hook.update_values( spreadsheet_id=self.spreadsheet_id, range_=self.spreadsheet_range, values=values, )

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