Run this DAG

1. Install the Astronomer CLI:Skip if you already have the CLI

2. Initate the project in a local directory:

3. Copy and paste the code below into a file in the

dags
directory.

4. Add the following to your

requirements.txt
file:

5. Run the DAG from the local directory where the project was initiated:

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import os
from airflow import models
from airflow.operators.bash import BashOperator
from airflow.providers.google.cloud.transfers.sheets_to_gcs import GoogleSheetsToGCSOperator
from airflow.providers.google.suite.operators.sheets import GoogleSheetsCreateSpreadsheetOperator
from airflow.providers.google.suite.transfers.gcs_to_sheets import GCSToGoogleSheetsOperator
from airflow.utils.dates import days_ago
GCS_BUCKET = os.environ.get("SHEETS_GCS_BUCKET", "test28397ye")
SPREADSHEET_ID = os.environ.get("SPREADSHEET_ID", "1234567890qwerty")
NEW_SPREADSHEET_ID = os.environ.get("NEW_SPREADSHEET_ID", "1234567890qwerty")
SPREADSHEET = {
"properties": {"title": "Test1"},
"sheets": [{"properties": {"title": "Sheet1"}}],
}
with models.DAG(
"example_sheets_gcs",
schedule_interval=None, # Override to match your needs,
start_date=days_ago(1),
tags=["example"],
) as dag:
# [START upload_sheet_to_gcs]
upload_sheet_to_gcs = GoogleSheetsToGCSOperator(
task_id="upload_sheet_to_gcs",
destination_bucket=GCS_BUCKET,
spreadsheet_id=SPREADSHEET_ID,
)
# [END upload_sheet_to_gcs]
# [START create_spreadsheet]
create_spreadsheet = GoogleSheetsCreateSpreadsheetOperator(
task_id="create_spreadsheet", spreadsheet=SPREADSHEET
)
# [END create_spreadsheet]
# [START print_spreadsheet_url]
print_spreadsheet_url = BashOperator(
task_id="print_spreadsheet_url",
bash_command="echo {{ task_instance.xcom_pull('create_spreadsheet', key='spreadsheet_url') }}",
)
# [END print_spreadsheet_url]
# [START upload_gcs_to_sheet]
upload_gcs_to_sheet = GCSToGoogleSheetsOperator(
task_id="upload_gcs_to_sheet",
bucket_name=GCS_BUCKET,
object_name="{{ task_instance.xcom_pull('upload_sheet_to_gcs')[0] }}",
spreadsheet_id=NEW_SPREADSHEET_ID,
)
# [END upload_gcs_to_sheet]
create_spreadsheet >> print_spreadsheet_url
upload_sheet_to_gcs >> upload_gcs_to_sheet