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.timezone 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 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 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)