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README.md
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README.md
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# Logrus
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Logrus is a simple, opinionated logging package for Go. It has three debugging
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levels:
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Logrus is a simple, opinionated logging package for Go. Features include:
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* `LevelDebug`: Debugging, usually turned off for deploys.
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* `LevelInfo`: Info, useful for monitoring in production.
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* `LevelWarning`: Warnings that should definitely be noted. These are sent to
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`airbrake`.
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* `LevelFatal`: Fatal messages that causes the application to crash. These are
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sent to `airbrake`.
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* **Level logging**. Logrus has the levels: Debug, Info, Warning and Fatal.
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* **Exceptions**. Warnings will log as an exception along with logging it to
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out, without quitting. Fatal will do the same, but call `os.Exit(1)` after
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emitting the exception.
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* **JSON**. Logrus currently logs as JSON by default.
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## Usage
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The API is completely compatible with the Go standard lib logger, with only the
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features above added.
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The global logging level is set by: `logrus.Level = logrus.{LevelDebug,LevelWarning,LevelFatal}`.
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## Motivation
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Note that for `airbrake` to work, `airbrake.Endpoint` and `airbrake.ApiKey`
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should be set.
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There is a global logger, which new loggers inherit their settings from when
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created (see example below), such as the place to redirect output. Logging can
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be done with the global logging module:
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The motivation for this library came out of a pattern seen in Go applications me
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and others have been writing with functions such as:
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```go
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logrus.Debug("Something debugworthy happened: %s", importantStuff)
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logrus.Info("Something infoworthy happened: %s", importantStuff)
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func reportFatalError(err error) {
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airbrake.Notify(err)
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log.Fatal(err)
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}
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logrus.Warning("Something bad happened: %s", importantStuff)
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// Reports to Airbrake
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logrus.Fatal("Something fatal happened: %s", importantStuff)
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// Reports to Airbrake
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// Then exits
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func reportWarning(err error) {
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airbrake.Notify(err)
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}
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```
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Types are encouraged to include their own logging object. This allows to set a
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context dependent prefix to know where a certain message is coming from, without
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cluttering every single message with this.
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JSON logging is excellent for parsing logs for analysis and troubleshooting.
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It's supported natively by log aggregators such as logstash and Splunk. Logging
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JSON with logrus with the `WithFields` and `WithField` API in logrus forces you
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to think about what context to log, to provide valuable troubleshoot information
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later.
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## Example
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```go
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type Walrus struct {
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TuskSize uint64
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Sex bool
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logger logrus.Logger
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}
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import (
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"github.com/Sirupsen/logrus"
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)
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func NewWalrus(tuskSize uint64, sex bool) *Walrus {
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return &Walrus{
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TuskSize: tuskSize,
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Sex: bool,
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logger: logrus.NewLogger("Walrus"),
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}
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}
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var logger logrus.New()
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func main() {
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logger.WithFields(Fields{
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"animal": "walrus",
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"location": "New York Aquarium",
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"weather": "rain",
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"name": "Wally",
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"event": "escape",
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}).Info("Walrus has escaped the aquarium! Action required!")
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// {
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// "level": "info",
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// "animal": "walrus",
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// "location": "New York Aquarium",
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// "weather":"rain",
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// "name": "Wally",
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// "event":"escape",
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// "msg": "Walrus has escaped the aquarium! Action required!")
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// "time": "2014-02-23 19:57:35.862271048 -0500 EST"
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// }
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func (walrus *Walrus) Mate(partner *Walrus) error {
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if walrus.Sex == partner.Sex {
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return errors.New("Incompatible mating partner.")
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}
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walrus.logger.Info("Walrus with tusk sizes %d and %d are mating!", walrus.TuskSize, partner.TuskSize)
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// Generates a logging message: <timestamp> [Info] [Walrus] Walrus with tusk sizes <int> and <int> are mating!
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// Walrus mating happens here
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return nil
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logger.WithField("source", "kafka").Infof("Connection to Kafka failed with %s", "some error")
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// {
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// "level": "info",
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// "source": "kafka",
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// "msg": "Connection to Kafka failed with some error",
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// "time": "2014-02-23 19:57:35.862271048 -0500 EST"
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// }
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}
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```
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Using `Warning` and `Fatal` to log to `airbrake` requires setting
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`airbrake.Endpoint` and `airbrake.ApiKey`. See
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[tobi/airbrake-go](https://github.com/tobi/airbrake-go).
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