Katip.Core

Represents a heirarchy of namespaces going from general to specific. For instance: ["processname", "subsystem"]. Note that single-segment namespaces can be created using IsString/OverloadedStrings, so "foo" will result in Namespace ["foo"].

Ready namespace for emission with dots to join the segments.

Application environment, like prod, devel, testing.

Verbosity controls the amount of information (columns) a Scribe emits during logging.

The convention is: - V0 implies no additional payload information is included in message. - V3 implies the maximum amount of payload information. - Anything in between is left to the discretion of the developer.

Log message with Builder underneath; use <> to concat in O(1).

Pack any string-like thing into a LogStr. This will automatically work on String, ByteString, Text and any of the lazy variants.

Shorthand for logStr

Convert any showable type into a LogStr.

This has everything each log message will contain.

Field selector by verbosity within JSON payload.

Compares two payload selections for equivalence. With SomeKeys, ordering and duplicates are ignored.

Katip requires JSON objects to be logged as context. This typeclass provides a default instance which uses ToJSON and produces an empty object if toJSON results in any type other than object. If you have a type you want to log that produces an Array or Number for example, you'll want to write an explicit instance here. You can trivially add a ToObject instance for something with a ToJSON instance like:

instance ToObject Foo

Payload objects need instances of this class. LogItem makes it so that you can have very verbose items getting logged with lots of extra fields but under normal circumstances, if your scribe is configured for a lower verbosity level, it will only log a selection of those keys. Furthermore, each Scribe can be configured with a different Verbosity level. You could even use registerScribe, unregisterScribe, and clearScribes to at runtime swap out your existing scribes for more verbose debugging scribes if you wanted to.

When defining payloadKeys, don't redundantly declare the same keys for higher levels of verbosity. Each level of verbosity automatically and recursively contains all keys from the level before it.

Construct a simple log from any JSON item.

Constrain payload based on verbosity. Backends should use this to automatically bubble higher verbosity levels to lower ones.

Convert log item to its JSON representation while trimming its payload based on the desired verbosity. Backends that push JSON messages should use this to obtain their payload.

Scribes are handlers of incoming items. Each registered scribe knows how to push a log item somewhere.

Guidelines for writing your own Scribe

Scribes should always take a Severity and Verbosity.

Severity is used to exclude log messages that are lower than the provided Severity. For instance, if the user passes InfoS, DebugS items should be ignored. Katip provides the permitItem utility for this. The user or the scribe may use permitAND and permitOR to further customize this filtering, even dynamically if they wish to.

Verbosity is used to select keys from the log item's payload. Each LogItem instance describes what keys should be retained for each Verbosity level. Use the payloadObject utility for extracting the keys that should be written.

Scribes provide a finalizer IO action (scribeFinalizer) that is meant to synchronously flush any remaining writes and clean up any resources acquired when the scribe was created. Internally, katip keeps a buffer for each scribe's writes. When closeScribe or closeScribes is called, that buffer stops accepting new log messages and after the last item in its buffer is sent to liPush, calls the finalizer. Thus, when the finalizer returns, katip can assume that all resources are cleaned up and all log messages are durably written.

While katip internally buffers messages per ScribeSettings, it sends them one at a time to the scribe. Depending on the scribe itself, it may make sense for that scribe to keep its own internal buffer to batch-send logs if writing items one at a time is not efficient. The scribe implementer must be sure that on finalization, all writes are committed synchronously.

Signature of a function passed to Scribe constructor and mkScribe* functions that decides which messages to be logged. Typically filters based on Severity, but can be combined with other, custom logic with permitAND and permitOR

AND together 2 permit functions

OR together 2 permit functions

Should this item be logged given the user's maximum severity? Most new scribes will use this as a base for their PermitFunc

Create a reasonable default InitLogEnv. Uses an AutoUpdate which updates the timer every 1ms. If you need even more timestamp precision at the cost of performance, consider setting _logEnvTimer with getCurrentTime.

Add a scribe to the list. All future log calls will go to this scribe in addition to the others. Writes will be buffered per the ScribeSettings to prevent slow scribes from slowing down logging. Writes will be dropped if the buffer fills.

Reasonable defaults for a scribe. Buffer size of 4096.

Remove a scribe from the environment. This does not finalize the scribe. This mainly only makes sense to use with something like MonadReader's local function to temporarily disavow a single logger for a block of code.

Unregister all scribes. Note that this is not for closing or finalizing scribes, use closeScribes for that. This mainly only makes sense to use with something like MonadReader's local function to temporarily disavow any loggers for a block of code.

Finalize a scribe. The scribe is removed from the environment, its finalizer is called so that it can never be written to again and all pending writes are flushed. Note that this will throw any exceptions yoru finalizer will throw, and that LogEnv is immutable, so it will not be removed in that case.

Call this at the end of your program. This is a blocking call that stop writing to a scribe's queue, waits for the queue to empty, finalizes each scribe in the log environment and then removes it. Finalizers are all run even if one of them throws, but the exception will be re-thrown at the end.

Monads where katip logging actions can be performed. Katip is the most basic logging monad. You will typically use this directly if you either don't want to use namespaces/contexts heavily or if you want to pass in specific contexts and/or namespaces at each log site.

For something more powerful, look at the docs for KatipContext, which keeps a namespace and merged context. You can write simple functions that add additional namespacing and merges additional context on the fly.

localLogEnv was added to allow for lexically-scoped modifications of the log env that are reverted when the supplied monad completes. katipNoLogging, for example, uses this to temporarily pause log outputs.

A concrete monad you can use to run logging actions. Use this if you prefer an explicit monad transformer stack and adding layers as opposed to implementing Katip for your monad.

Execute KatipT on a log env.

Disable all scribes for the given monadic action, then restore them afterwards. Works in any Katip monad.

Log with everything, including a source code location. This is very low level and you typically can use logT in its place.

Log already constructed Item. This is the lowest level function that other log* functions use. It can be useful when implementing centralised logging services.

Log with full context, but without any code location.

Perform an action while logging any exceptions that may occur. Inspired by onException.

>>> > logException () mempty ErrorS (error "foo")

Log a message without any payload/context or code location.

Lift a location into an Exp.

For use when you want to include location in your logs. This will fill the 'Maybe Loc' gap in logF of this module, and relies on implicit callstacks when available (GHC > 7.8).

Loc-tagged logging when using template-haskell.

$(logT) obj mempty InfoS "Hello world"

Loc-tagged logging using GHC.Stack when available.

This function does not require template-haskell as it automatically uses implicit-callstacks when the code is compiled using GHC > 7.8. Using an older version of the compiler will result in the emission of a log line without any location information, so be aware of it. Users using GHC <= 7.8 may want to use the template-haskell function logT for maximum compatibility.

logLoc obj mempty InfoS "Hello world"