By using it, you will be able to
- define schemata by creating ordinary Scala datatypes;
- check the compatibility of different versions of a schema at compile time, as well as runtime;
- automatically derive serializers and deserializers for your schema-datatypes (currently only circe and scodec encoders and decoders are implemented);
- and communicate between components using different (but compatible) versions of a schema.
Since it's a fairly new project, not all of these features are implemented yet. Bugs are to be expected as well. Contributions to improve the project, and reports about issues you encounter are welcome.
libraryDependencies += "dev.tauri" %% "seals-core" % "0.4.0-M3"
All releases (and commits on the
master branch) are signed by key
36A8 2002 483A 4CBF A5F8 DF6F 48B2 9573 BF19 7B13.
seals-core, you can define a schema simply by creating an ADT:
final case class User(id: Int, name: String)
An abstract representation of this schema can be retrieved by requesting an instance of the
Reified type class.
import dev.tauri.seals.Reified Reified[User]
This abstract representation is used to implement the following features. (End users usually don't have to work with
Compile-time compatibility checking
In the next version of the schema defined above, you may want to add a new field (with a default value):
final case class UserV2(id: Int, name: String, age: Int = 42)
Thanks to the default value, these two versions are compatible with each other. We can assert this by using the
Compat type class:
import dev.tauri.seals.Compat Compat[User, UserV2]
If they wouldn't be compatible, we would get a compile time error (because there would be no
Compat instance available). For example, if we define a new schema like this:
final case class UserV3(id: Int, name: String, age: Int) // no default `age`
Then there will be no
Compat instance available, since the schemata are not compatible:
Compat[User, UserV3] // error: could not find implicit value for ...
For a more detailed introduction to the
Compat type class, see this example.
Build-time compatibility checking
By using the
seals-plugin module (which is an sbt plugin), we can check in our build whether our current schemata are compatible with previously released versions. (Similarly to how MiMa checks binary compatibility with previous versions.) For how to do this, see this example. The plugin is available for sbt 0.13 and 1.x.
If you are interested in other features (like automatic derivation of serializers, or runtime compatibility checking), at the moment the best way is to look at the examples or directly at the sources (and Scaladoc comments, and laws/tests).
The subprojects are as follows:
core: essential type classes (required)
circe: automatic derivation of circe encoders and decoders (optional)
scodec: automatic derivation of scodec codecs, encoders and decoders (optional)
refined: support for refined types
plugin: sbt plugin for build-time compatibility checking of schema definitions (basically MiMa for schemata)
checker: the schema checker used by the sbt plugin
macros: a few macros used internally by
laws: definitions of laws for the type classes in
core(incomplete, for testing)
tests: unittests (don't depend on this)
examples: a few examples for using the library
seals depends on the following projects:
- shapeless provides the macros and type classes to automatically derive schemata and other type class instances for ADTs.
- Cats provides general functional programming tools which complement the Scala standard library.
- scodec-bits provides an immutable
- MiMa provides some utilities for working with artifacts in
Currently there are interop modules for the following projects:
- circe provides the JSON framework for which
sealsderives encoders and decoders.
- scodec provides a binary encoding/serialization framework for which
- FS2 enables streaming encoding and decoding of data with scodec.
- refined provides refinement types, some of which are supported by
For testing, it also uses:
- ScalaTest for the unittests,
- ScalaCheck for automated property-based testing,
- and scalacheck-shapeless to generate pseudorandom ADT instances.