# Avromatic [![Build Status](https://travis-ci.org/salsify/avromatic.svg?branch=master)][travis] [![Gem Version](https://badge.fury.io/rb/avromatic.svg)](https://badge.fury.io/rb/avromatic) [travis]: http://travis-ci.org/salsify/avromatic `Avromatic` generates Ruby models from [Avro](http://avro.apache.org/) schemas and provides utilities to encode and decode them. ## Installation Add this line to your application's Gemfile: ```ruby gem 'avromatic' ``` And then execute: $ bundle Or install it yourself as: $ gem install avromatic ## Usage ### Configuration `Avromatic` supports the following configuration: #### Model Generation * **schema_store**: A schema store is required to load Avro schemas from the filesystem. It should be an object that responds to `find(name, namespace = nil)` and returns an `Avro::Schema` object. An `AvroTurf::SchemaStore` can be used. The `schema_store` is unnecessary if models are generated directly from `Avro::Schema` objects. See [Models](#models). #### Using a Schema Registry/Messaging API The configuration options below are required when using a schema registry (see [Confluent Schema Registry](http://docs.confluent.io/2.0.1/schema-registry/docs/intro.html)) and the [Messaging API](#messaging-api). * **schema_registry**: An `AvroTurf::SchemaRegistry` object used to store Avro schemas so that they can be referenced by id. Either `schema_registry` or `registry_url` must be configured. * **registry_url**: URL for the schema registry. Either `schema_registry` or `registry_url` must be configured. * **messaging**: An `AvroTurf::Messaging` object to be shared by all generated models. The `build_messaging!` method may be used to create a `Messaging` instance based on the other configuration values. * **logger**: The logger to use for the schema registry client. * [Custom Types](#custom-types) Example using a schema registry: ```ruby Avromatic.configure do |config| config.schema_store = AvroTurf::SchemaStore.new(path: 'avro/schemas') config.registry_url = Rails.configuration.x.avro_schema_registry_url config.build_messaging! end ``` ### Models Models are defined based on an Avro schema for a record. The Avro schema can be specified by name and loaded using the schema store: ```ruby class MyModel include Avromatic::Model.build(schema_name :my_model) end ``` Or an `Avro::Schema` object can be specified directly: ```ruby class MyModel include Avromatic::Model.build(schema: schema_object) end ``` Models are generated as [Virtus](https://github.com/solnic/virtus) value objects. `Virtus` attributes are added for each field in the Avro schema including any default values defined in the schema. `ActiveModel` validations are used to define validations on certain types of fields ([see below](#validations)). A model may be defined with both a key and a value schema: ```ruby class MyTopic include Avromatic::Model.build(value_schema_name: :topic_value, key_schema_name: :topic_key) end ``` When key and value schemas are both specified, attributes are added to the model for the union of the fields in the two schemas. A model can also be generated as an anonymous class that can be assigned to a constant: ```ruby MyModel = Avromatic::Model.model(schema_name :my_model) ``` #### Custom Types Custom types can be configured for fields of named types (record, enum, fixed). These customizations are registered on the `Avromatic` module. Once a custom type is registered, it is used for all models with a schema that references that type. It is recommended to register types within a block passed to `Avromatic.configure`: ```ruby Avromatic.configure do |config| config.register_type('com.example.my_string', MyString) end ``` The full name of the type and an optional class may be specified. When a class is provided then values for attributes of that type are defined using the specified class. If the provided class responds to the class methods `from_avro` and `to_avro` then those methods are used to convert values when assigning to the model and before encoding using Avro respectively. `from_avro` and `to_avro` methods may be also be specified as Procs when registering the type: ```ruby Avromatic.configure do |config| config.register_type('com.example.updown_string') do |type| type.from_avro = ->(value) { value.upcase } type.to_avro = ->(value) { value.downcase } end end ``` Nil handling is not required as the conversion methods are not be called if the inbound or outbound value is nil. If a custom type is registered for a record-type field, then any `to_avro` method/Proc should return a Hash with string keys for encoding using Avro. ### Encoding and Decoding `Avromatic` provides two different interfaces for encoding the key (optional) and value associated with a model. #### Manually Managed Schemas The attributes for the value schema used to define a model can be encoded using: ```ruby encoded_value = model.avro_raw_value ``` In order to decode this data, a copy of the value schema is required. If a model also has an Avro schema for a key, then the key attributes can be encoded using: ```ruby encoded_key = model.avro_raw_key ``` If attributes were encoded using the same schema(s) used to define a model, then the data can be decoded to create a new model instance: ```ruby MyModel.avro_raw_decode(key: encoded_key, value: encoded_value) ``` If the attributes where encoded using a different version of the model's schemas, then a new model instance can be created by also providing the schemas used to encode the data: ```ruby MyModel.avro_raw_decode(key: encoded_key, key_schema: writers_key_schema, value: encoded_value, value_schema: writers_value_schema) ``` #### Messaging API The other interface for encoding and decoding attributes uses the `AvroTurf::Messaging` API. This interface leverages a schema registry and prefixes the encoded data with an id to identify the schema. In this approach, a schema registry is used to ensure that the correct schemas are available during decoding. The attributes for the value schema can be encoded with a schema id prefix using: ```ruby message_value = model.avro_message_value ``` If a model has an Avro schema for a key, then those attributes can also be encoded prefixed with a schema id: ```ruby message_key = model.avro_message_key ``` A model instance can be created from a key and value encoded in this manner: ```ruby MyTopic.avro_message_decode(message_key, message_value) ``` Or just a value if only one schema is used: ```ruby MyValue.avro_message_decode(message_value) ``` #### Avromatic::Model::MessageDecoder A stream of messages encoded from various models using the messaging approach can be decoded using `Avromatic::Model::MessageDecoder`. The decoder must be initialized with the list of models to decode: ```ruby decoder = Avromatic::Model::MessageDecoder.new(MyModel1, MyModel2) decoder.decode(model1_messge_key, model1_message_value) # => instance of MyModel1 decoder.decode(model2_message_value) # => instance of MyModel2 ``` ### Validations The following validations are supported: - The size of the value for a fixed type field. - The value for an enum type field is in the declared set of values. - Presence of a value for required fields. ### Unsupported/Future The following types/features are not supported for generated models: - Generic union fields: The special case of an optional field, the union of `:null` and another type, is supported. - Reused models for nested records: Currently an anonymous model class is generated for each subrecord. ## Development After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment. To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/salsify/avromatic. ## License The gem is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT).