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from __future__ import annotations

from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from import S3CreateBucketOperator, S3DeleteBucketOperator
from import MongoToS3Operator
from airflow.utils.dates import datetime
from airflow.utils.trigger_rule import TriggerRule
from import SystemTestContextBuilder

[docs]DAG_ID = "example_mongo_to_s3"
# Externally fetched variables:
[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.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/
[docs]test_run = get_test_run(dag)

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