Chimney
refined
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Chimney | refined | |
---|---|---|
13 | 16 | |
1,106 | 1,680 | |
2.7% | - | |
9.7 | 8.5 | |
2 days ago | 3 days ago | |
Scala | Scala | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Chimney
- Chimney 0.8.0 (stable) released
- Chimney 0.8.0-M1 with the initial support for Scala 3
- Chimney 0.8.0-M1 – type mapping library for Scala released for Scala 3
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ORM in Scala
But yeah, I wonder if using a tool for case classes conversion like https://github.com/scalalandio/chimney would help in managing those ADT hierarchies for DB/business logic/web layer/etc.
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Chimney 0.7.0 released
Hello, if you have some nice examples could you please check if it's something that would fit any of issues planned for 0.7.1 or create a new one?
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Output object with Circe with sealed trait + case classes adds sealed trait block
Perhaps, https://github.com/scalalandio/chimney would leverage it.
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Smithy4s 0.15.0, now with Smithy 2.0 support
Thankfully, there are some solutions that can help reduce the boilerplate of these manual conversions. For instance, chimney : https://scalalandio.github.io/chimney/
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Is it possible to get runnable generated scala code from a macro (chminey to be specific)?
I want to upgrade one project to Scala 3.1, but I'm using the macro heavy chimney (https://github.com/scalalandio/chimney) to reduce the boilerplate, which is not available for Scala 3 yet. My idea was to copy and paste the code that chimney generates on 2.13, and after that uncomment the uses of chimney for now.
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From ES6 to Scala: Basics
In my $dayjob we originally used Scala, but I pushed for a couple of new services to be written in TypeScript/Node as it was really hard to hire Scala developers. I'd say it worked well, we even took a somewhat functional approach to building things. We tried fp-ts but that was a bit hardcore (when you are trying to hire TypeScript developers who don't know functional programming), so just built Either and Option types which provided 99% of what we needed.
There are still a few things I miss though:
* Pattern matching and exhaustive checking. Using a switch statement it is possible to define a function that can emulate the compile-time exhaustive checking, but it's still rather weak compared to what you can do in Scala.
* Implicits. Being able to define something that can convert say a UUID to a String or vice versa automatically just feels like magic, especially when dealing with data from third party systems.
* Compiler macros and metaprogramming. It enables tools like Chimney (https://scalalandio.github.io/chimney/) to be built, which I don't think are possible with TypeScript right now.
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Scala Type Classes from Scratch
Converting between these classes can add some boilerplate, but luckily there are libraries like https://github.com/scalalandio/chimney that make it much easier.
refined
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Make Invalid States Unrepresentable
Scala has quite good support for refined types across multiple libraries. A solution using the refined library might look something like
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Does the fthomas/refined library work differently in Scala 3?
Does the Refined library for Scala (at https://github.com/fthomas/refined; "eu.timepit" %% "refined") work in Scala 3? Does it work differently?
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Type erased on implicit evidence check
I'm trying to create a poor man version of refined types implementation with a simple validation of string content and check the return type via Implicit evidence on another function. It seems that the type got erased after it got returned from the check
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Design by contract - Preconditions and Postconditions - I'm really amazed with Scala.
Scala likes to do design-by-contract on the type level. You encode your pre- and post- conditions into types. Libraries like iron (scala 3) https://github.com/Iltotore/iron and refined (scala 2) https://github.com/fthomas/refined allow you to do all that without throwing any exceptions and they can even enforce some simple predicates at compile time.
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Restrict uses of annotation in Scala
Annotation is not the only way (and probably not the best IMHO) to do refined types. You might be interested in Iron in Scala 3 or Refined in Scala 2/3.
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Cross-Training to Ada - which are the best languages to begin from?
I think the way you model problems in Ada is superficially similar to refined types you find in some functional languages (e.g. Scala).
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Can types replace validation?
In one respect, nothing. You’re right. Even given refinement types as in Haskell or Scala, there is indeed a necessarily-partial function (refineV in Scala) to refine a value to its refinement type.
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Help me break the fourth wall
Perhaps refined would help you? It lets you set constraints (i.e. "rules") for values / types. You get compile-time enforcement for constants and fallible methods for runtime values (i.e. Either[Error, RefinedValue]).
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Simple, Naïve, and Wrong: More than you wanted to know about Scala Case Classes
This is more or less how derivation works when you want to use something like Refined types (it exposes Validate[Type, Refinement] typeclass if I remember correctly). Enumeratum exposes Enum[A], and newtypes expose Coercible[From, To].
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Opinions on implementing traits for validation with the help of a companion object
You will probably be interested into Iron or Refined.
What are some alternatives?
Shapeless - Generic programming for Scala
Monocle - Optics library for Scala
Records for Scala - Labeled records for Scala based on structural refinement types and macros.
Lamma - Lamma schedule generator for Scala is a professional schedule generation library for periodic schedules like fixed income coupon payment, equity deravitive fixing date generation etc.
Cassovary - Cassovary is a simple big graph processing library for the JVM
Enumeratum - A type-safe, reflection-free, powerful enumeration implementation for Scala with exhaustive pattern match warnings and helpful integrations.
scribe - The fastest logging library in the world. Built from scratch in Scala and programmatically configurable.
Scalaz - Principled Functional Programming in Scala
Quicklens - Modify deeply nested case class fields
Ammonite-Ops - Scala Scripting