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#
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#
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from __future__ import annotations
from datetime import datetime
import boto3
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.amazon.aws.sensors.dynamodb import DynamoDBValueSensor
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
# TODO: FIXME The argument types here seems somewhat tricky to fix
# mypy: disable-error-code="arg-type"
[docs]DAG_ID = "example_dynamodbvaluesensor"
[docs]sys_test_context_task = SystemTestContextBuilder().build()
[docs]PK_ATTRIBUTE_NAME = "PK"
[docs]SK_ATTRIBUTE_NAME = "SK"
[docs]TABLE_ATTRIBUTES = [
{"AttributeName": PK_ATTRIBUTE_NAME, "AttributeType": "S"},
{"AttributeName": SK_ATTRIBUTE_NAME, "AttributeType": "S"},
]
[docs]TABLE_KEY_SCHEMA = [
{"AttributeName": "PK", "KeyType": "HASH"},
{"AttributeName": "SK", "KeyType": "RANGE"},
]
[docs]TABLE_THROUGHPUT = {"ReadCapacityUnits": 10, "WriteCapacityUnits": 10}
@task
[docs]def create_table(table_name: str):
ddb = boto3.resource("dynamodb")
table = ddb.create_table(
AttributeDefinitions=TABLE_ATTRIBUTES,
TableName=table_name,
KeySchema=TABLE_KEY_SCHEMA,
ProvisionedThroughput=TABLE_THROUGHPUT,
)
boto3.client("dynamodb").get_waiter("table_exists").wait(TableName=table_name)
table.put_item(Item={"PK": "Test", "SK": "2022-07-12T11:11:25-0400", "Value": "Testing"})
@task(trigger_rule=TriggerRule.ALL_DONE)
[docs]def delete_table(table_name: str):
client = boto3.client("dynamodb")
client.delete_table(TableName=table_name)
client.get_waiter("table_not_exists").wait(TableName=table_name)
with DAG(
dag_id=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_KEY]
table_name = f"{env_id}-dynamodb-table"
create_table = create_table(table_name=table_name)
delete_table = delete_table(table_name)
# [START howto_sensor_dynamodb_value]
dynamodb_sensor = DynamoDBValueSensor(
task_id="waiting_for_dynamodb_item_value",
table_name=table_name,
partition_key_name=PK_ATTRIBUTE_NAME,
partition_key_value="Test",
sort_key_name=SK_ATTRIBUTE_NAME,
sort_key_value="2022-07-12T11:11:25-0400",
attribute_name="Value",
attribute_value="Testing",
)
# [END howto_sensor_dynamodb_value]
# [START howto_sensor_dynamodb_any_value]
dynamodb_sensor_any_value = DynamoDBValueSensor(
task_id="waiting_for_dynamodb_item_any_value",
table_name=table_name,
partition_key_name=PK_ATTRIBUTE_NAME,
partition_key_value="Test",
sort_key_name=SK_ATTRIBUTE_NAME,
sort_key_value="2022-07-12T11:11:25-0400",
attribute_name="Value",
attribute_value=["Foo", "Testing", "Bar"],
)
# [END howto_sensor_dynamodb_any_value]
chain(
# TEST SETUP
test_context,
create_table,
# TEST BODY
dynamodb_sensor,
dynamodb_sensor_any_value,
# TEST TEARDOWN
delete_table,
)
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)