Tool / Lib to transform a simply defined set of kafka topics and transforms the definition into an AWS CloudFormation template that uses either EWS::Kafka::Topic or Custom::KafkaTopic (via AWS Lambda deployed in your account) to create/updated/delete your Kafka topics.
python3 -m pip install aws_cfn_kafka_admin_provideraws-cfn-kafka-admin-provider --help
usage: aws-cfn-kafka-admin-provider [-h] -f FILE_PATH [-o OUTPUT_FILE] [--format {json,yaml}] [_ ...]
positional arguments:
_
optional arguments:
-h, --help show this help message and exit
-f FILE_PATH, --file-path FILE_PATH
Path to the kafka definition file
-o OUTPUT_FILE, --output-file OUTPUT_FILE
Path to file output
--format {json,yaml} Template formatfrom aws_cfn_kafka_admin_provider.aws_cfn_kafka_admin_provider import KafkaStack
stack = KafkaStack("/path/to/input/file.yaml")
stack.render_topics()# Through makefile
make data-model
# Via CLI with
datamodel-codegen --input-file-type jsonschema \
--input aws-cfn-kafka-admin-provider-schema.json \
--output aws_cfn_kafka_admin_provider/model.pyThis package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
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