refined
Log4s
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refined | Log4s | |
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9 | 0 | |
1,506 | 167 | |
- | 0.6% | |
8.5 | 4.6 | |
10 days ago | about 1 month ago | |
Scala | Scala | |
MIT License | GNU General Public License v3.0 or later |
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refined
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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.
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Help with Single Value Validated Types
You want either a refined type, a newtype, or if you are in Scala 3 an opaque type.
- Alan Kay's answer to What was the last breakthrough in computer programming?
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Types versus sets in math and programming languages
Refined Scala
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Option[] as type of field in case class
Additionally, I also like to use Refined, so that my names are actually NonEmptyStrings, and I'll usually go even farther and make a LastName type alias to NonEmptyString and a FirstName type alias to NonEmptyString so that I can legitimately return just Char as an initial, for example. That way parsing guarantees you're not just sending me empty stuff that is just as useless as an empty person, and also so that I don't accidentally put a FirstName where a LastName should go somewhere in my code.
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Using refined to improve type safety and error reporting in Scala
I wrote a short piece on my company's blog explaining how we used refined to validate incoming data and parse it into more… well, refined types: https://engineering.contentsquare.com/2021/scala-refined-types/
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Why there is still no ExpressJS-like alternative in Scala?
This example uses probably the most popular JSON library for Scala, Circe. There is another Scala library that lets us "be more specific with," or "refine," our types, called Refined. http4s doesn't provide any particular support for Refined, but Circe has a module integrating Refined, meaning that all of Circe's parsing, encoding, and decoding support is integrated with Refined. Putting together http4s' Circe support, Circe's generic codec derivation, and Circe's Refined integration, here's what I came up with:
Log4s
We haven't tracked posts mentioning Log4s yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Scala-Logging - Convenient and performant logging library for Scala wrapping SLF4J.
scribe - The fastest logging library in the world. Built from scratch in Scala and programmatically configurable.
Scalaz - Principled Functional Programming in Scala
Shapeless - Generic programming 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.
Ammonite-Ops - Scala Scripting
Cassovary - Cassovary is a simple big graph processing library for the JVM
cats - Lightweight, modular, and extensible library for functional programming.
Stateless Future - Asynchronous programming in fully featured Scala syntax.