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ZIO learning - defining and injecting a custom config layer into the environment / published by https://github.com/dacr/code-examples-manager #1b829e9d-d6e2-4522-8432-94ec54de2e34/eafb65c00dc8da49a2ac54b91479212d96f50a14
// summary : ZIO learning - defining and injecting a custom config layer into the environment
// keywords : scala, zio, learning, pure-functional, @testable
// publish : gist
// authors : David Crosson
// license : Apache NON-AI License Version 2.0 (https://raw.githubusercontent.com/non-ai-licenses/non-ai-licenses/main/NON-AI-APACHE2)
// id : 1b829e9d-d6e2-4522-8432-94ec54de2e34
// created-on : 2022-01-11T13:36:47+01:00
// managed-by : https://github.com/dacr/code-examples-manager
// run-with : scala-cli $file
// ---------------------
//> using scala "3.2.2"
//> using dep "dev.zio::zio:2.0.13"
//> using dep "fr.janalyse::zio-worksheet:2.0.13.0"
// ---------------------
import zio.*, zio.worksheet.*
case class AuthConfig(username: String, password: String)
case class Config(auth: AuthConfig)
val logic: ZIO[Config, Exception, Unit] = for {
auth <- ZIO.environment[Config].map(_.get.auth)
_ <- Console.printLine(s"Hello ${auth.username} !")
} yield ()
// -------------------------------------------------------------
val config = Config(AuthConfig("lucien", "pass"))
logic.provideLayer(ZLayer.succeed(config)).unsafeRun
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