Dialog is a simple and opinionated logging library that implements an
SLF4J-compatible backend in Clojure. This means it is
compatible with a wide variety of logging APIs, including
clojure.tools.logging
and most Java libraries.
Inspired by the fallout from the log4shell vulnerability, and the question "what if we wrote just enough code to do the kinds of logging we want?". This is an attempt to produce a minimally-configurable logging backend that is nonetheless still extensible in a few ways - in particular, it aims to be easy to integrate with ken as an extension to observability tooling.
Releases are published on Clojars; to use the latest version with Leiningen, add the following to your project dependencies:
By default, this will pull in the SLF4J API package as well as redirecting
java.util.logging
and commons-logging
classes to SLF4J. If you're using
libraries developed against log4j, you may also want to add a dependency on
org.slf4j/log4j-over-slf4j
as well. For more information, see the
SLF4J legacy bridging documentation.
Within your code, you can use the standard clojure.tools.logging
approach to
logging and things should Just Work. If for some reason you don't want to pull
in org.clojure/tools.logging
, the dialog.logger
namespace contains a set of
compatible macros such as logp
, debug
, infof
, etc.
The dialog.logger
namespace also contains a number of utility functions which
can be used to inspect and dynamically adjust the logging configuration at
runtime.
At initialization time (when SLF4J looks on the classpath for the
StaticLoggerBinder
class), dialog will try to read configuration from a
resource named dialog/config.edn
. This is an aero
file which should contain a map telling dialog how to behave. The profile used
to read the configuration can be set with the dialog.profile
system
property or DIALOG_PROFILE
environment variable at runtime.
Check out the sample config in this repo for a comprehensive example.
Aero is quite expressive, but in the event that you need to run some logic to
pre-configure the logging system (or perform init-time side-effects), you can
specify a fully-qualified symbol under the :init
key in the config. This will
be resolved to a function and called with the raw config map. The result of the
function will be used as a modified version of the config.
Dialog supports the standard set of log levels, specified with keywords:
:trace
, :debug
, :info
, :warn
, :error
, and :fatal
in ascending order
of severity. Each logger may have a threshold and will only report events
logged at that threshold or higher. These thresholds can be controlled with a
few keys in the config map:
:level
This sets the level of the root logger, which is used if no other
more-specific threshold is configured. This may be overridden at runtime by
setting the dialog.level
system property or the DIALOG_LEVEL
environment
variable.
:levels
This key should contain a map of logger prefixes to a configured level
keyword. Loggers will use the most specific prefix which matches when
determining their level. These may also be overridden at runtime with
dialog.level.{logger.ns}
system properties or DIALOG_LEVEL_{LOGGER_NS}
environment variables.
:blocked
An optional set of logger prefixes which should never be logged. This can
be useful as a security mechanism, to prevent output from loggers like
org.apache.http.headers
, which can leak Authorization: Bearer ...
secrets.
The :middleware
entry in the config can contain a vector of "middleware
functions", which will be called in order on incoming events to process them
before they are output. This allows for local extensions to the logging system,
such as collecting additional callsite context, applying custom formatting,
filtering out unwanted events, and more.
Each symbol in the vector is resolved to a var when the config is loaded, and will be called with the full config map and the event being processed. The function should return an updated event if logging should proceed, or nil if the event should be dropped. A middleware call which throws an exception will be ignored, and the original event will continue being processed.
Finally, dialog needs to know how and where to send the logged events. These
are configured under the :outputs
key, which should contain a map from an
output-id keyword to a configuration for that output.
There are two significant configurations for an output - its :type
and its
:format
. The output format is used to translate events into message strings,
and the output type is used to write the formatted message to some destination.
As a shorthand, an output with no other configuration can be specified just by
its type keyword.
There are four supported outputs:
:null
A null output which drops all events logged to it. Most useful for testing.
:print
An output which writes log messages to an output stream. By default, this is
the process' standard output, but may be explicitly set by adding a :stream
key to the output with a value of :stdout
or :stderr
.
:file
An output which writes log messages to a local file. The output must contain
a :path
entry which specifies the location of the log file. Dialog will try
to pre-create the parent directories of this file when it is initialized.
:syslog
This output writes log messages to a syslog
daemon using UDP. By default messages will be sent to the local host on port
514, but this may be controlled with the :address
and :port
keys on the
output. The syslog output sends the :time
, :host
, :sys
, :proc
, and
:level
event attributes as special fields, in addition to the formatted
message.
There are four supported formats:
:message
A trivial formatter which just uses the event's :message
value, verbatim.
:simple
The simple formatter is the default, and produces a log message from several attributes of the event, including the time, level, logger name, and message. This is a good format to use for deployed systems which need to log to stdout or a file.
:pretty
This formatter is a lot like :simple
, but it adds ANSI color coding to the
messages, making them much easier for humans to consume. This is most useful
in interactive situations like the REPL. For a slightly nicer experience, you
can also add :timestamp :short
to the output map to only show the time
portion instead of the full date-time string.
:json
This renders the event data directly as JSON, which can be useful for outputs
which will be read by structured logging tools. This uses the Clojure
data.json
library, so you can extend the clojure.data.json/JSONWriter
protocol if you need to support custom types. Alternately, transform them
with middleware before they are output.
To support further light customization, both the :simple
and :pretty
formatters will look for some additional metadata on events:
:dialog.format/tail
string metadata, it will be appended
to the message produced by the formatters.:dialog.format/extra
, it will also be printed as a data
structure at the end of the message.Copyright © 2021 Amperity, Inc.
Distributed under the MIT License.
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