log4cats 
Project Goals
log4cats attempts to make referentially transparent logging a reality. These F algebras allow you to write code for logging knowing you won't be doing side-effects as it offers no way to do so. We provide our own slf4j layer, or you can use any of the supported backends, or create your own.
Quick Start
To use log4cats in an existing SBT project with Scala 2.12 or a later version, add the following dependency to your
build.sbt:
libraryDependencies ++= Seq(
"org.typelevel" %% "log4cats-core" % "<version>", // Only if you want to Support Any Backend
"org.typelevel" %% "log4cats-slf4j" % "<version>", // Direct Slf4j Support - Recommended
)Why log4cats?
Well, to answer that, let's take a look at how you might combine cats-effect with vanilla logging...
object MyVanillaLoggingThing {
val logger: Logger = Logger(LoggerFactory.getLogger(getClass.getName))
def doSomething(): IO[Unit] =
IO(logger.info("Doing something!")) *> IO.println("Hello, World!")
}But what if you don't want to wrap your logger in an IO like this?
Good news, you don't have to! Enter log4cats! Read on!
Examples
import org.typelevel.log4cats.Logger
import org.typelevel.log4cats.slf4j.Slf4jLogger
import cats.effect.Sync
import cats.implicits._
object MyThing {
// Impure But What 90% of Folks I know do with log4s
implicit def unsafeLogger[F[_]: Sync] = Slf4jLogger.getLogger[F]
// Arbitrary Local Function Declaration
def doSomething[F[_]: Sync]: F[Unit] =
Logger[F].info("Logging Start Something") *>
Sync[F].delay(println("I could be doing anything"))
.attempt.flatMap{
case Left(e) => Logger[F].error(e)("Something Went Wrong")
case Right(_) => Sync[F].pure(())
}
def safelyDoThings[F[_]: Sync]: F[Unit] = for {
logger <- Slf4jLogger.create[F]
_ <- logger.info("Logging at start of safelyDoThings")
something <- Sync[F].delay(println("I could do anything"))
.onError{case e => logger.error(e)("Something Went Wrong in safelyDoThings")}
_ <- logger.info("Logging at end of safelyDoThings")
} yield something
def passForEasierUse[F[_]: Sync: Logger] = for {
_ <- Logger[F].info("Logging at start of passForEasierUse")
something <- Sync[F].delay(println("I could do anything"))
.onError{case e => Logger[F].error(e)("Something Went Wrong in passForEasierUse")}
_ <- Logger[F].info("Logging at end of passForEasierUse")
} yield something
}Wait...why log4cats again?
If you compare the vanilla logger + cats-effect example with the log4cats examples above, you might be asking yourself "why do I have to do any of this?" or "why can't I just add a log statement like normal?"
Well there are several reasons. Logging is often times an overlooked side-effect,
which under the hood can range from writing to a mutable queue, writing to disk,
outputting to the console, or sometimes even doing network I/O!
To correctly deal with these kinds of side-effects we have to ensure they are properly wrapped in IO,
see the cats-effect docs for more details.
Basically, we are using cats-effect. We like things like "referential transparency"
and "programs-as-values". Wrapping our log statement in an IO helps with that.
Laconic syntax
It's possible to use interpolated syntax for logging.
Currently, supported ops are: trace, debug, info, warn, error.
You can use it for your custom Logger as well as for Slf4j Logger.
import cats.Applicative
import cats.effect.Sync
import org.typelevel.log4cats.Logger
import org.typelevel.log4cats.syntax._
def successComputation[F[_]: Applicative]: F[Int] = Applicative[F].pure(1)
def errorComputation[F[_]: Sync]: F[Unit] = Sync[F].raiseError[Unit](new Throwable("Sorry!"))
def log[F[_]: Sync: Logger] =
for {
result1 <- successComputation[F]
_ <- info"First result is $result1"
_ <- errorComputation[F].onError(_ => error"We got an error!")
} yield ()Logging using capabilities
You can work with logging using capabilities. It's implemented via the LoggerFactory trait.
You instantiate it once (dependent on the specific logging backend you use)
and pass this around in your application.
This brings several advantages:
- it's no more needed to pass the very powerful
F[_]: Syncconstraint everywhere that can do almost anything when you only need logging. - you have control of loggers creation, and you can even add in whatever custom functionality you need for your applications here. E.g. create loggers that also push logs to some external providers by giving a custom implementation of this trait.
If you are unsure how to create a new LoggerFactory[F] instance, then you can look at the log4cats-slf4j,
or log4cats-noop modules for concrete implementations.
The quickest fix might be to import needed implicits:
// assumes dependency on log4cats-slf4j module
import org.typelevel.log4cats._
import org.typelevel.log4cats.slf4j._
val logger: SelfAwareStructuredLogger[IO] = LoggerFactory[IO].getLogger
// or
def anyFSyncLogger[F[_]: Sync]: SelfAwareStructuredLogger[F] = Slf4jFactory[F].getLoggerAlternatively, a mutually exclusive solution is to explicitly create your
LoggerFactory[F] instance and pass them around implicitly:
import cats.effect.IO
import cats.Monad
import cats.syntax.all._
import org.typelevel.log4cats._
import org.typelevel.log4cats.slf4j.Slf4jFactory
// create our LoggerFactory
implicit val logging: LoggerFactory[IO] = Slf4jFactory[IO]
// we summon LoggerFactory instance, and create logger
val logger: SelfAwareStructuredLogger[IO] = LoggerFactory[IO].getLogger
logger.info("logging in IO!"): IO[Unit]
// basic example of a service using LoggerFactory
class LoggerUsingService[F[_]: LoggerFactory: Monad] {
val logger = LoggerFactory[F].getLogger
def use(args: String): F[Unit] =
for {
_ <- logger.info("yay! effect polymorphic code")
_ <- logger.debug(s"and $args")
} yield ()
}
new LoggerUsingService[IO].use("foo")Using log4cats in tests
See here for details
CVE-2021-44228 ("log4shell")
log4cats is not directly susceptible to CVS-2021-44228. The log4cats-slf4j implementation delegates all logging operations to slf4j. if you use log4cats-slf4j, your configured slf4j provider may put you at risk. See slf4j's comments on CVE-2021-44228 for more.