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

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from __future__ import annotations

import json
import os
from datetime import datetime

from airflow.decorators import task
from airflow.models import Connection
from airflow.models.dag import DAG
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.settings import Session
from airflow.utils.trigger_rule import TriggerRule


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


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


[docs]DAG_ID = "example_sheets_to_gcs"



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


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


[docs]CONNECTION_ID = f"connection_{DAG_ID}_{ENV_ID}"



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
    )


    @task
    def create_temp_sheets_connection():
        conn = Connection(
            conn_id=CONNECTION_ID,
            conn_type="google_cloud_platform",
        )
        conn_extra = {
            "scope": "https://www.googleapis.com/auth/spreadsheets,https://www.googleapis.com/auth/cloud-platform",
            "project": PROJECT_ID,
            "keyfile_dict": "",  # Override to match your needs
        }
        conn_extra_json = json.dumps(conn_extra)
        conn.set_extra(conn_extra_json)

        session = Session()
        session.add(conn)
        session.commit()

    create_temp_sheets_connection_task = create_temp_sheets_connection()

    create_spreadsheet = GoogleSheetsCreateSpreadsheetOperator(
        task_id="create_spreadsheet", spreadsheet=SPREADSHEET, gcp_conn_id=CONNECTION_ID
    )

    # [START upload_sheet_to_gcs]
    upload_sheet_to_gcs = GoogleSheetsToGCSOperator(
        task_id="upload_sheet_to_gcs",
        destination_bucket=BUCKET_NAME,
        spreadsheet_id="{{ task_instance.xcom_pull(task_ids='create_spreadsheet', "
        "key='spreadsheet_id') }}",
        gcp_conn_id=CONNECTION_ID,
    )
    # [END upload_sheet_to_gcs]

    delete_temp_sheets_connection_task = BashOperator(
        task_id="delete_temp_sheets_connection",
        bash_command=f"airflow connections delete {CONNECTION_ID}",
        trigger_rule=TriggerRule.ALL_DONE,
    )

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

    (
        # TEST SETUP
        [create_bucket, create_temp_sheets_connection_task]
        >> create_spreadsheet
        # TEST BODY
        >> upload_sheet_to_gcs
        # TEST TEARDOWN
        >> [delete_bucket, delete_temp_sheets_connection_task]
    )

    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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