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Release Notes#

0.2.15#

What's Changed#

Bug fixes#

Documentation#

Misc#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.14...0.2.15

0.2.14#

What's Changed#

Bug fixes#

Documentation#

Misc#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.13...0.2.14

0.2.13#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.12...0.2.13

0.2.12#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.11...0.2.12

0.2.11#

What's Changed#

Bug fixes#

Documentation#

New Contributors#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.10...0.2.11

Documentation#

New Contributors#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.10...0.2.11

0.2.10#

What's Changed#

Now, you can hide your connection secrets in the AsyncAPI schema by manually setting up the server URL:

broker = RabbitBroker(
    "amqp://guest:guest@localhost:5672/",  # Connection URL
    asyncapi_url="amqp://****:****@localhost:5672/",  # Public schema URL
)

Additionally, the RabbitMQ AsyncAPI schema has been improved, adding support for faststream.security, and the connection scheme is now defined automatically.

RabbitMQ connection parameters are now merged, allowing you to define the main connection data as a URL string and customize it using kwargs:

broker = RabbitBroker(
    "amqp://guest:guest@localhost:5672/",
    host="127.0.0.1",
)

# amqp://guest:guest@127.0.0.1:5672/ - The final URL
* A more suitable faststream.security import instead of faststream.broker.security * chore: add release notes for 0.2.9 by @kumaranvpl in https://github.com/airtai/faststream/pull/894 * chore: upgrade packages by @davorrunje in https://github.com/airtai/faststream/pull/901 * chore: use js redirect and redirect to version by @kumaranvpl in https://github.com/airtai/faststream/pull/902 * feat: add asyncapi_url broker arg by @Lancetnik in https://github.com/airtai/faststream/pull/903

Full Changelog: https://github.com/airtai/faststream/compare/0.2.9...0.2.10

0.2.9#

What's Changed#

New Contributors#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.8...0.2.9

0.2.8#

What's Changed#

New Contributors#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.7...0.2.8

0.2.7#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.6...0.2.7

0.2.6#

What's Changed#

New Contributors#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.5...0.2.6

0.2.5#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.4...0.2.5

0.2.4#

New Functionalities#

Now, Context provides access to inner dict keys too:

# headers is a `dict`
async def handler(
  user_id: int = Context("message.headers.user_id", cast=True),
): ...

Added Header object as a shortcut to Context("message.headers.") inner fields (NATS example):

# the same with the previous example
async def handler(
  user_id: int = Header(),
  u_id: int = Header("user_id"),  # with custom name
): ...

Added Path object to get access to NATS wildcard subject or RabbitMQ topic routing key (a shortcut to access Context("message.path.") as well):

@nats_broker.subscriber("logs.{level}")
async def handler(
  level: str = Path(),
)

Also, the original message Context annotation was copied from faststream.[broker].annotations.[Broker]Message to faststream.[broker].[Broker]Message to provide you with faster access to the most commonly used object (NATS example).

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.3...0.2.4

0.2.3#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.2...0.2.3

0.2.2#

What's Changed#

New Contributors#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.1...0.2.2

0.2.1#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.2.0...0.2.1

0.2.0#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.1.6...0.2.0

0.1.6#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.1.5...0.1.6

0.1.4#

What's Changed#

New Contributors#

Full Changelog: https://github.com/airtai/faststream/compare/0.1.3...0.1.4

0.1.3#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/compare/0.1.1...0.1.3

0.1.1#

What's Changed#

Full Changelog: https://github.com/airtai/faststream/commits/0.1.1

0.1.0#

FastStream is a new package based on the ideas and experiences gained from FastKafka and Propan. By joining our forces, we picked up the best from both packages and created the unified way to write services capable of processing streamed data regardless of the underlying protocol. We'll continue to maintain both packages, but new development will be in this project. If you are starting a new service, this package is the recommended way to do it.

Features#

FastStream simplifies the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically.

Making streaming microservices has never been easier. Designed with junior developers in mind, FastStream simplifies your work while keeping the door open for more advanced use-cases. Here's a look at the core features that make FastStream a go-to framework for modern, data-centric microservices.

  • Multiple Brokers: FastStream provides a unified API to work across multiple message brokers (Kafka, RabbitMQ support)

  • Pydantic Validation: Leverage Pydantic's validation capabilities to serialize and validates incoming messages

  • Automatic Docs: Stay ahead with automatic AsyncAPI documentation.

  • Intuitive: full typed editor support makes your development experience smooth, catching errors before they reach runtime

  • Powerful Dependency Injection System: Manage your service dependencies efficiently with FastStream's built-in DI system.

  • Testable: supports in-memory tests, making your CI/CD pipeline faster and more reliable

  • Extendable: use extensions for lifespans, custom serialization and middlewares

  • Integrations: FastStream is fully compatible with any HTTP framework you want (FastAPI especially)

  • Built for Automatic Code Generation: FastStream is optimized for automatic code generation using advanced models like GPT and Llama

That's FastStream in a nutshell—easy, efficient, and powerful. Whether you're just starting with streaming microservices or looking to scale, FastStream has got you covered.

Last update: 2023-11-23