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test/taoensso/timbre/appenders/3rd_party | ||
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project.clj |
README.md
API docs | CHANGELOG | other Clojure libs | Twitter | contact/contrib | current Break Version:
[com.taoensso/timbre "4.1.1"] ; Stable, see CHANGELOG for details
[com.taoensso/timbre "3.4.0"] ; Legacy
Timbre, a (sane) Clojure/Script logging & profiling library
Java logging is a mess of complexity that buys you nothing. It can be comically hard to get even the simplest logging working, and it's no better at scale.
Timbre offers an all Clojure/Script alternative that works out the box. It's fast, deeply flexible, and easy to configure. No XML!
What's in the box™?
- Full Clojure + ClojureScript support (v4+)
- No XML or properties files. A single, simple config map, and you're set
- Deeply flexible fn appender model with middleware
- Great performance at any scale
- Filter logging by levels and namespace whitelist/blacklist patterns
- Zero overhead with complete Clj+Cljs elision for compile-time level/ns filters
- Useful built-in appenders for out-the-box Clj+Cljs logging
- Powerful, easy-to-configure per-appender rate limits and async logging
- Logs as Clojure values (v3+)
- tools.logging support (optional, useful when integrating with legacy logging systems)
- Level and ns-filter aware logging profiler
- Tiny, simple, cross-platform codebase
3rd-party tools, appenders, etc.
- log-config by Hugo Duncan - library to help manage Timbre logging config.
- Other suggestions welcome!
Getting started
Dependencies
Add the necessary dependency to your Leiningen project.clj
and require
the necessary namespaces:
[com.taoensso/timbre "4.1.1"] ; Add to your project.clj :dependencies
(ns my-clj-ns ; Clj ns => use `:refer`
(:require
[taoensso.timbre :as timbre
:refer (log trace debug info warn error fatal report
logf tracef debugf infof warnf errorf fatalf reportf
spy get-env log-env)]
[taoensso.timbre.profiling :as profiling
:refer (pspy pspy* profile defnp p p*)]))
(ns my-cljs-ns ; Cljs ns => use `:refer-macros`
(:require
[taoensso.timbre :as timbre
:refer-macros (log trace debug info warn error fatal report
logf tracef debugf infof warnf errorf fatalf reportf
spy get-env log-env)]))
You can also use
timbre/refer-timbre
to configure Clj ns referrals automatically
Logging
By default, Timbre gives you basic println
and js/console
(v4+) output at a :debug
log level:
(info "This will print") => nil
%> 15-Jun-13 19:18:33 localhost INFO [my-app.core] - This will print
(spy :info (* 5 4 3 2 1)) => 120
%> 15-Jun-13 19:19:13 localhost INFO [my-app.core] - (* 5 4 3 2 1) => 120
(defn my-mult [x y] (info "Lexical env:" (get-env)) (* x y)) => #'my-mult
(my-mult 4 7) => 28
%> 15-Jun-13 19:21:53 localhost INFO [my-app.core] - Lexical env: {x 4, y 7}
(trace "This won't print due to insufficient log level") => nil
First-argument exceptions generate a nicely cleaned-up stack trace using io.aviso.exception (Clj only):
(info (Exception. "Oh noes") "arg1" "arg2")
%> 15-Jun-13 19:22:55 localhost INFO [my-app.core] - arg1 arg2
java.lang.Exception: On noes
<Stacktrace>
Other utils include: log-errors
, log-and-rethrow-errors
, logged-future
, and handle-uncaught-jvm-exceptions!
(please see the API docs for details).
Configuration
This is the biggest win over Java logging IMO. Here's timbre/example-config
(also Timbre's default config):
The example below shows config for Timbre v4. See here for an example of Timbre v3 config.
(def example-config
"Example (+default) Timbre v4 config map.
APPENDERS
An appender is a map with keys:
:min-level ; Level keyword, or nil (=> no minimum level)
:enabled? ;
:async? ; Dispatch using agent? Useful for slow appenders
:rate-limit ; [[ncalls-limit window-ms] <...>], or nil
:output-fn ; Optional override for inherited (fn [data]) -> string
:fn ; (fn [data]) -> side effects, with keys described below
An appender's fn takes a single data map with keys:
:config ; Entire config map (this map, etc.)
:appender-id ; Id of appender currently dispatching
:appender ; Entire map of appender currently dispatching
:instant ; Platform date (java.util.Date or js/Date)
:level ; Keyword
:error-level? ; Is level e/o #{:error :fatal}?
:?ns-str ; String, or nil
:?file ; String, or nil ; Waiting on CLJ-865
:?line ; Integer, or nil ; Waiting on CLJ-865
:?err_ ; Delay - first-arg platform error, or nil
:vargs_ ; Delay - raw args vector
:hostname_ ; Delay - string (clj only)
:msg_ ; Delay - args string
:timestamp_ ; Delay - string
:output-fn ; (fn [data]) -> formatted output string
; (see `default-output-fn` for details)
:context ; *context* value at log time (see `with-context`)
:profile-stats ; From `profile` macro
MIDDLEWARE
Middleware are simple (fn [data]) -> ?data fns (applied left->right) that
transform the data map dispatched to appender fns. If any middleware returns
nil, NO dispatching will occur (i.e. the event will be filtered).
The `example-config` source code contains further settings and details.
See also `set-config!`, `merge-config!`, `set-level!`."
{:level :debug ; e/o #{:trace :debug :info :warn :error :fatal :report}
;; Control log filtering by namespaces/patterns. Useful for turning off
;; logging in noisy libraries, etc.:
:ns-whitelist [] #_["my-app.foo-ns"]
:ns-blacklist [] #_["taoensso.*"]
:middleware [] ; (fns [data]) -> ?data, applied left->right
;; Clj only:
:timestamp-opts default-timestamp-opts ; {:pattern _ :locale _ :timezone _}
:output-fn default-output-fn ; (fn [data]) -> string
:appenders
{:example-println-appender ; Appender id
;; Appender definition (just a map):
{:enabled? true
:async? false
:min-level nil
:rate-limit [[1 250] [10 5000]] ; 1/250ms, 10/5s
:output-fn :inherit
:fn ; Appender's fn
(fn [data]
(let [{:keys [output-fn]} data
formatted-output-str (output-fn data)]
(println formatted-output-str)))}}})
A few things to note:
- Appenders are trivial to write & configure - they're just fns. It's Timbre's job to dispatch useful args to appenders when appropriate, it's their job to do something interesting with them.
- Being 'just fns', appenders have basically limitless potential: write to your database, send a message over the network, check some other state (e.g. environment config) before making a choice, etc.
Log levels and ns filters
The log level may be set:
- At compile-time: (
TIMBRE_LEVEL
environment variable). - Statically using:
timbre/set-level!
/timbre/merge-level!
. - Dynamically using:
timbre/with-level
.
The ns filters may be set:
- At compile-time: (
TIMBRE_NS_WHITELIST
,TIMBRE_NS_BLACKLIST
env vars). - Statically using:
timbre/set-config!
/timbre/merge-config!
. - Dynamically using:
timbre/with-config
.
There are also variants of the core logging macros that take an explicit config arg:
(timbre/log* <config-map> <level> <& args>) ; or
(timbre/logf* <config-map> <level> <& args>)
Logging calls excluded by a compile-time option (e.g. during Cljs compilation) will be entirely elided from your codebase, e.g.:
#!/bin/bash
# edn values welcome:
export TIMBRE_LEVEL=':warn' # Elide all lower logging calls
export TIMBRE_NS_WHITELIST='["my-app.*"]' # Elide all other ns logging calls
export TIMBRE_NS_BLACKLIST='["my-app.foo" "my-app.bar.*"]'
lein cljsbuild once # Compile js with appropriate logging calls excluded
lein uberjar # Compile jar ''
Built-in appenders
Redis (Carmine) appender (v3+)
;; [com.taoensso/carmine "2.10.0"] ; Add to project.clj deps
;; (:require [taoensso.timbre.appenders (carmine :as car-appender)]) ; Add to ns
(timbre/merge-config! {:appenders {:carmine (car-appender/carmine-appender)}})
This gives us a high-performance Redis appender:
- All raw logging args are preserved in serialized form (even errors!).
- Only the most recent instance of each unique entry is kept (hash fn used to determine uniqueness is configurable).
- Configurable number of entries to keep per log level.
- Log is just a value: a vector of Clojure maps: query+manipulate with standard seq fns: group-by hostname, sort/filter by ns & severity, explore exception stacktraces, filter by raw arguments, stick into or query with Datomic, etc.
A simple query utility is provided: car-appender/query-entries
.
Email (Postal) appender
;; [com.draines/postal "1.11.3"] ; Add to project.clj deps
;; (:require [taoensso.timbre.appenders (postal :as postal-appender)]) ; Add to ns
(timbre/merge-config!
{:appenders
{:postal
(postal-appender/postal-appender
^{:host "mail.isp.net" :user "jsmith" :pass "sekrat!!1"}
{:from "me@draines.com" :to "foo@example.com"})}})
File appender
;; (:require [taoensso.timbre.appenders.core :as appenders]) ; Add to ns
(timbre/merge-config!
{:appenders {:spit (appenders/spit-appender {:fname "/path/my-file.log"})}})
Other included appenders
A number of 3rd-party appenders are included out-the-box here. Please see the relevant docstring for details. Thank you to the respective authors! Just give me a shout if you've got an appender you'd like to have added.
Profiling (currently Clj only)
The usual recommendation for Clojure profiling is: use a good JVM profiler like YourKit, JProfiler, or VisualVM.
And these certainly do the job. But as with many Java tools, they can be a little hairy and often heavy-handed - especially when applied to Clojure. Timbre includes an alternative.
Wrap forms that you'd like to profile with the p
macro and give them a name:
(defn my-fn
[]
(let [nums (vec (range 1000))]
(+ (p :fast-sleep (Thread/sleep 1) 10)
(p :slow-sleep (Thread/sleep 2) 32)
(p :add (reduce + nums))
(p :sub (reduce - nums))
(p :mult (reduce * nums))
(p :div (reduce / nums)))))
(my-fn) => 42
The profile
macro can now be used to log times for any wrapped forms:
(profile :info :Arithmetic (dotimes [n 100] (my-fn))) => "Done!"
%> 2012-Jul-03 20:46:17 +0700 localhost INFO [my-app] - Profiling my-app/Arithmetic
Name Calls Min Max MAD Mean Total% Total
my-app/slow-sleep 100 2ms 2ms 31μs 2ms 57 231ms
my-app/fast-sleep 100 1ms 1ms 27μs 1ms 29 118ms
my-app/add 100 44μs 2ms 46μs 100μs 2 10ms
my-app/sub 100 42μs 564μs 26μs 72μs 2 7ms
my-app/div 100 54μs 191μs 17μs 71μs 2 7ms
my-app/mult 100 31μs 165μs 11μs 44μs 1 4ms
Unaccounted 6 26ms
Total 100 405ms
You can also use the defnp
macro to conveniently wrap whole fns.
Timbre profiling is fully log level & ns filter aware: if the level is insufficient or ns filtered, you won't pay for profiling.
And since p
and profile
always return their body's result, it becomes feasible to use profiling more often as part of your normal workflow: just leave profiling code in production as you do logging code.
A simple sampling profiler is also included.
This project supports the CDS and goals
-
CDS, the Clojure Documentation Site, is a contributer-friendly community project aimed at producing top-notch, beginner-friendly Clojure tutorials and documentation. Awesome resource.
-
ClojureWerkz is a growing collection of open-source, batteries-included Clojure libraries that emphasise modern targets, great documentation, and thorough testing. They've got a ton of great stuff, check 'em out!
Contact & contributing
lein start-dev
to get a (headless) development repl that you can connect to with Cider (Emacs) or your IDE.
Please use the project's GitHub issues page for project questions/comments/suggestions/whatever (pull requests welcome!). Am very open to ideas if you have any!
Otherwise reach me (Peter Taoussanis) at taoensso.com or on Twitter. Cheers!
License
Copyright © 2012-2015 Peter Taoussanis. Distributed under the Eclipse Public License, the same as Clojure.