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    "info": {
        "author": "Marcos Schroh",
        "author_email": "schrohm@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development"
        ],
        "description": "# Async Python Rest Client Schema Registry\n\n[![Build Status](https://travis-ci.org/marcosschroh/async-python-schema-registry-client.svg?branch=master)](https://travis-ci.com/marcosschroh/async-python-schema-registry-client.svg?branch=master)\n[![GitHub license](https://img.shields.io/github/license/marcosschroh/async-python-schema-registry-client.svg)](https://github.com/marcosschroh/async-python-schema-registry-client/blob/master/LICENSE)\n[![codecov](https://codecov.io/gh/marcosschroh/async-python-schema-registry-client/branch/master/graph/badge.svg)](https://codecov.io/gh/marcosschroh/async-python-schema-registry-client)\n[![Python Version](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue.svg)](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue.svg)\n\n\nAsync Python Rest Client to interact against [schema-registry](https://docs.confluent.io/current/schema-registry/index.html) confluent server to manage [Avro Schemas](https://docs.oracle.com/database/nosql-12.1.3.1/GettingStartedGuide/avroschemas.html) resources.\n\n## Requirements\n\npython 3.6+, fastavro>=0.22.3, requests-async>=0.4.1, aiofiles>=0.4.0\n\n## Installation\n\n```\npip install async-python-schema-registry-client\n```\n\n## Client API, Serializer, Faust Integration and Schema Server description\n\n**Documentation**: [https://marcosschroh.github.io/async-python-schema-registry-client.io](https://marcosschroh.github.io/async-python-schema-registry-client)\n\n## When use this library?\n\nUsually, we have a situacion like this:\n\n![Confluent Architecture](docs/img/confluent_architecture.png)\n\nSo, our producers/consumers have to serialize/deserialize messages every time that they send/receive from Kafka topics. In this picture, we can imagine a `Faust` application receiving messages (encoded with an Avro schema) and we want to deserialize them, so we can ask the `schema server` to do that for us. In this scenario, the `MessageSerializer` is perfect.\n\nAlso, could be a use case that we would like to have an Application only to administrate `Avro Schemas` (register, update compatibilities, delete old schemas, etc.), so the `SchemaRegistryClient` is perfect.\n\n\n## Run Tests\n\nThe tests are run against the `Schema Server` using `docker compose`, so you will need\n`Docker` and `Docker Compose` installed.\n\n```bash\n./scripts/test.sh\n```",
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