Source code for tests.system.providers.google.cloud.gcs.example_sheets

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from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from airflow.models.xcom_arg import XComArg
from airflow.operators.bash import BashOperator
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
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.trigger_rule import TriggerRule


[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")


[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")


[docs]DAG_ID = "example_sheets_gcs"



[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"


[docs]SPREADSHEET_ID = os.environ.get("SPREADSHEET_ID", "1234567890qwerty")


[docs]NEW_SPREADSHEET_ID = os.environ.get("NEW_SPREADSHEET_ID", "1234567890qwerty")



[docs]SPREADSHEET = {
    "properties": {"title": "Test1"},
    "sheets": [{"properties": {"title": "Sheet1"}}],
}


with DAG(
    DAG_ID,
    schedule="@once",  # Override to match your needs,
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example", "sheets"],
) as dag:

[docs]    create_bucket = GCSCreateBucketOperator(
        task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
    )


    # [START upload_sheet_to_gcs]
    upload_sheet_to_gcs = GoogleSheetsToGCSOperator(
        task_id="upload_sheet_to_gcs",
        destination_bucket=BUCKET_NAME,
        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=f"echo {XComArg(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=BUCKET_NAME,
        object_name="{{ task_instance.xcom_pull('upload_sheet_to_gcs')[0] }}",
        spreadsheet_id=NEW_SPREADSHEET_ID,
    )
    # [END upload_gcs_to_sheet]

    delete_bucket = GCSDeleteBucketOperator(
        task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
    )

    (
        # TEST SETUP
        create_bucket
        # TEST BODY
        >> create_spreadsheet
        >> print_spreadsheet_url
        >> upload_sheet_to_gcs
        >> upload_gcs_to_sheet
        # TEST TEARDOWN
        >> delete_bucket
    )

    from tests.system.utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "tearDown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()

from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)

[docs]test_run = get_test_run(dag)

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