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from __future__ import annotations

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

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

    from airflow.utils.context import Context

[docs]class GoogleSheetsToGCSOperator(BaseOperator): """ Writes Google Sheet data into Google Cloud Storage. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GoogleSheetsToGCSOperator` :param spreadsheet_id: The Google Sheet ID to interact with. :param sheet_filter: Default to None, if provided, Should be an array of the sheet titles to pull from. :param destination_bucket: The destination Google cloud storage bucket where the report should be written to. (templated) :param destination_path: The Google cloud storage URI array for the object created by the operator. For example: ``path/to/my/files``. :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 (templated). """
[docs] template_fields: Sequence[str] = ( "spreadsheet_id", "destination_bucket", "destination_path", "sheet_filter", "impersonation_chain", )
def __init__( self, *, spreadsheet_id: str, destination_bucket: str, sheet_filter: list[str] | None = None, destination_path: str | None = None, gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.gcp_conn_id = gcp_conn_id self.spreadsheet_id = spreadsheet_id self.sheet_filter = sheet_filter self.destination_bucket = destination_bucket self.destination_path = destination_path self.impersonation_chain = impersonation_chain def _upload_data( self, gcs_hook: GCSHook, hook: GSheetsHook, sheet_range: str, sheet_values: list[Any], ) -> str: # Construct destination file path sheet = hook.get_spreadsheet(self.spreadsheet_id) file_name = f"{sheet['properties']['title']}_{sheet_range}.csv".replace(" ", "_") dest_file_name = ( f"{self.destination_path.strip('/')}/{file_name}" if self.destination_path else file_name ) with NamedTemporaryFile("w+") as temp_file: # Write data writer = csv.writer(temp_file) writer.writerows(sheet_values) temp_file.flush() # Upload to GCS gcs_hook.upload( bucket_name=self.destination_bucket, object_name=dest_file_name,, ) return dest_file_name
[docs] def execute(self, context: Context): sheet_hook = GSheetsHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) gcs_hook = GCSHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain, ) # Pull data and upload destination_array: list[str] = [] sheet_titles = sheet_hook.get_sheet_titles( spreadsheet_id=self.spreadsheet_id, sheet_filter=self.sheet_filter ) for sheet_range in sheet_titles: data = sheet_hook.get_values(spreadsheet_id=self.spreadsheet_id, range_=sheet_range) gcs_path_to_file = self._upload_data(gcs_hook, sheet_hook, sheet_range, data) destination_array.append(gcs_path_to_file) self.xcom_push(context, "destination_objects", destination_array) return destination_array

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