Source code for tests.system.amazon.aws.example_mongo_to_s3

# 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.
from __future__ import annotations

from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.amazon.aws.operators.s3 import S3CreateBucketOperator, S3DeleteBucketOperator
from airflow.providers.amazon.aws.transfers.mongo_to_s3 import MongoToS3Operator
from airflow.utils.dates import datetime
from airflow.utils.trigger_rule import TriggerRule

from providers.tests.system.amazon.aws.utils import SystemTestContextBuilder


[docs]DAG_ID = "example_mongo_to_s3"


# Externally fetched variables:

[docs]MONGO_DATABASE_KEY = "MONGO_DATABASE"


[docs]MONGO_COLLECTION_KEY = "MONGO_COLLECTION"



[docs]sys_test_context_task = (
    SystemTestContextBuilder().add_variable(MONGO_DATABASE_KEY).add_variable(MONGO_COLLECTION_KEY).build()
)


with DAG(
    DAG_ID,
    schedule="@once",
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example"],
) as dag:

[docs]    test_context = sys_test_context_task()

    env_id = test_context["ENV_ID"]
    mongo_database = test_context[MONGO_DATABASE_KEY]
    mongo_collection = test_context[MONGO_COLLECTION_KEY]

    s3_bucket = f"{env_id}-mongo-to-s3-bucket"
    s3_key = f"{env_id}-mongo-to-s3-key"

    create_s3_bucket = S3CreateBucketOperator(task_id="create_s3_bucket", bucket_name=s3_bucket)

    # [START howto_transfer_mongo_to_s3]
    mongo_to_s3_job = MongoToS3Operator(
        task_id="mongo_to_s3_job",
        mongo_collection=mongo_collection,
        # Mongo query by matching values
        # Here returns all documents which have "OK" as value for the key "status"
        mongo_query={"status": "OK"},
        s3_bucket=s3_bucket,
        s3_key=s3_key,
        mongo_db=mongo_database,
        replace=True,
    )
    # [END howto_transfer_mongo_to_s3]

    delete_s3_bucket = S3DeleteBucketOperator(
        task_id="delete_s3_bucket",
        bucket_name=s3_bucket,
        force_delete=True,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    chain(
        # TEST SETUP
        test_context,
        create_s3_bucket,
        # TEST BODY
        mongo_to_s3_job,
        # TEST TEARDOWN
        delete_s3_bucket,
    )

    from dev.tests_common.test_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 dev.tests_common.test_utils.system_tests 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)

Was this entry helpful?