github.com/unitedwallet/go-unitedcoin@v0.0.0-20210523075635-0ea21ffcca48/log/doc.go (about) 1 /* 2 Package log15 provides an opinionated, simple toolkit for best-practice logging that is 3 both human and machine readable. It is modeled after the standard library's io and net/http 4 packages. 5 6 This package enforces you to only log key/value pairs. Keys must be strings. Values may be 7 any type that you like. The default output format is logfmt, but you may also choose to use 8 JSON instead if that suits you. Here's how you log: 9 10 log.Info("page accessed", "path", r.URL.Path, "user_id", user.id) 11 12 This will output a line that looks like: 13 14 lvl=info t=2014-05-02T16:07:23-0700 msg="page accessed" path=/org/71/profile user_id=9 15 16 Getting Started 17 18 To get started, you'll want to import the library: 19 20 import log "github.com/inconshreveable/log15" 21 22 23 Now you're ready to start logging: 24 25 func main() { 26 log.Info("Program starting", "args", os.Args()) 27 } 28 29 30 Convention 31 32 Because recording a human-meaningful message is common and good practice, the first argument to every 33 logging method is the value to the *implicit* key 'msg'. 34 35 Additionally, the level you choose for a message will be automatically added with the key 'lvl', and so 36 will the current timestamp with key 't'. 37 38 You may supply any additional context as a set of key/value pairs to the logging function. log15 allows 39 you to favor terseness, ordering, and speed over safety. This is a reasonable tradeoff for 40 logging functions. You don't need to explicitly state keys/values, log15 understands that they alternate 41 in the variadic argument list: 42 43 log.Warn("size out of bounds", "low", lowBound, "high", highBound, "val", val) 44 45 If you really do favor your type-safety, you may choose to pass a log.Ctx instead: 46 47 log.Warn("size out of bounds", log.Ctx{"low": lowBound, "high": highBound, "val": val}) 48 49 50 Context loggers 51 52 Frequently, you want to add context to a logger so that you can track actions associated with it. An http 53 request is a good example. You can easily create new loggers that have context that is automatically included 54 with each log line: 55 56 requestlogger := log.New("path", r.URL.Path) 57 58 // later 59 requestlogger.Debug("db txn commit", "duration", txnTimer.Finish()) 60 61 This will output a log line that includes the path context that is attached to the logger: 62 63 lvl=dbug t=2014-05-02T16:07:23-0700 path=/repo/12/add_hook msg="db txn commit" duration=0.12 64 65 66 Handlers 67 68 The Handler interface defines where log lines are printed to and how they are formated. Handler is a 69 single interface that is inspired by net/http's handler interface: 70 71 type Handler interface { 72 Log(r *Record) error 73 } 74 75 76 Handlers can filter records, format them, or dispatch to multiple other Handlers. 77 This package implements a number of Handlers for common logging patterns that are 78 easily composed to create flexible, custom logging structures. 79 80 Here's an example handler that prints logfmt output to Stdout: 81 82 handler := log.StreamHandler(os.Stdout, log.LogfmtFormat()) 83 84 Here's an example handler that defers to two other handlers. One handler only prints records 85 from the rpc package in logfmt to standard out. The other prints records at Error level 86 or above in JSON formatted output to the file /var/log/service.json 87 88 handler := log.MultiHandler( 89 log.LvlFilterHandler(log.LvlError, log.Must.FileHandler("/var/log/service.json", log.JSONFormat())), 90 log.MatchFilterHandler("pkg", "app/rpc" log.StdoutHandler()) 91 ) 92 93 Logging File Names and Line Numbers 94 95 This package implements three Handlers that add debugging information to the 96 context, CallerFileHandler, CallerFuncHandler and CallerStackHandler. Here's 97 an example that adds the source file and line number of each logging call to 98 the context. 99 100 h := log.CallerFileHandler(log.StdoutHandler) 101 log.Root().SetHandler(h) 102 ... 103 log.Error("open file", "err", err) 104 105 This will output a line that looks like: 106 107 lvl=eror t=2014-05-02T16:07:23-0700 msg="open file" err="file not found" caller=data.go:42 108 109 Here's an example that logs the call stack rather than just the call site. 110 111 h := log.CallerStackHandler("%+v", log.StdoutHandler) 112 log.Root().SetHandler(h) 113 ... 114 log.Error("open file", "err", err) 115 116 This will output a line that looks like: 117 118 lvl=eror t=2014-05-02T16:07:23-0700 msg="open file" err="file not found" stack="[pkg/data.go:42 pkg/cmd/main.go]" 119 120 The "%+v" format instructs the handler to include the path of the source file 121 relative to the compile time GOPATH. The github.com/go-stack/stack package 122 documents the full list of formatting verbs and modifiers available. 123 124 Custom Handlers 125 126 The Handler interface is so simple that it's also trivial to write your own. Let's create an 127 example handler which tries to write to one handler, but if that fails it falls back to 128 writing to another handler and includes the error that it encountered when trying to write 129 to the primary. This might be useful when trying to log over a network socket, but if that 130 fails you want to log those records to a file on disk. 131 132 type BackupHandler struct { 133 Primary Handler 134 Secondary Handler 135 } 136 137 func (h *BackupHandler) Log (r *Record) error { 138 err := h.Primary.Log(r) 139 if err != nil { 140 r.Ctx = append(ctx, "primary_err", err) 141 return h.Secondary.Log(r) 142 } 143 return nil 144 } 145 146 This pattern is so useful that a generic version that handles an arbitrary number of Handlers 147 is included as part of this library called FailoverHandler. 148 149 Logging Expensive Operations 150 151 Sometimes, you want to log values that are extremely expensive to compute, but you don't want to pay 152 the price of computing them if you haven't turned up your logging level to a high level of detail. 153 154 This package provides a simple type to annotate a logging operation that you want to be evaluated 155 lazily, just when it is about to be logged, so that it would not be evaluated if an upstream Handler 156 filters it out. Just wrap any function which takes no arguments with the log.Lazy type. For example: 157 158 func factorRSAKey() (factors []int) { 159 // return the factors of a very large number 160 } 161 162 log.Debug("factors", log.Lazy{factorRSAKey}) 163 164 If this message is not logged for any reason (like logging at the Error level), then 165 factorRSAKey is never evaluated. 166 167 Dynamic context values 168 169 The same log.Lazy mechanism can be used to attach context to a logger which you want to be 170 evaluated when the message is logged, but not when the logger is created. For example, let's imagine 171 a game where you have Player objects: 172 173 type Player struct { 174 name string 175 alive bool 176 log.Logger 177 } 178 179 You always want to log a player's name and whether they're alive or dead, so when you create the player 180 object, you might do: 181 182 p := &Player{name: name, alive: true} 183 p.Logger = log.New("name", p.name, "alive", p.alive) 184 185 Only now, even after a player has died, the logger will still report they are alive because the logging 186 context is evaluated when the logger was created. By using the Lazy wrapper, we can defer the evaluation 187 of whether the player is alive or not to each log message, so that the log records will reflect the player's 188 current state no matter when the log message is written: 189 190 p := &Player{name: name, alive: true} 191 isAlive := func() bool { return p.alive } 192 player.Logger = log.New("name", p.name, "alive", log.Lazy{isAlive}) 193 194 Terminal Format 195 196 If log15 detects that stdout is a terminal, it will configure the default 197 handler for it (which is log.StdoutHandler) to use TerminalFormat. This format 198 logs records nicely for your terminal, including color-coded output based 199 on log level. 200 201 Error Handling 202 203 Becasuse log15 allows you to step around the type system, there are a few ways you can specify 204 invalid arguments to the logging functions. You could, for example, wrap something that is not 205 a zero-argument function with log.Lazy or pass a context key that is not a string. Since logging libraries 206 are typically the mechanism by which errors are reported, it would be onerous for the logging functions 207 to return errors. Instead, log15 handles errors by making these guarantees to you: 208 209 - Any log record containing an error will still be printed with the error explained to you as part of the log record. 210 211 - Any log record containing an error will include the context key LOG15_ERROR, enabling you to easily 212 (and if you like, automatically) detect if any of your logging calls are passing bad values. 213 214 Understanding this, you might wonder why the Handler interface can return an error value in its Log method. Handlers 215 are encouraged to return errors only if they fail to write their log records out to an external source like if the 216 syslog daemon is not responding. This allows the construction of useful handlers which cope with those failures 217 like the FailoverHandler. 218 219 Library Use 220 221 log15 is intended to be useful for library authors as a way to provide configurable logging to 222 users of their library. Best practice for use in a library is to always disable all output for your logger 223 by default and to provide a public Logger instance that consumers of your library can configure. Like so: 224 225 package yourlib 226 227 import "github.com/inconshreveable/log15" 228 229 var Log = log.New() 230 231 func init() { 232 Log.SetHandler(log.DiscardHandler()) 233 } 234 235 Users of your library may then enable it if they like: 236 237 import "github.com/inconshreveable/log15" 238 import "example.com/yourlib" 239 240 func main() { 241 handler := // custom handler setup 242 yourlib.Log.SetHandler(handler) 243 } 244 245 Best practices attaching logger context 246 247 The ability to attach context to a logger is a powerful one. Where should you do it and why? 248 I favor embedding a Logger directly into any persistent object in my application and adding 249 unique, tracing context keys to it. For instance, imagine I am writing a web browser: 250 251 type Tab struct { 252 url string 253 render *RenderingContext 254 // ... 255 256 Logger 257 } 258 259 func NewTab(url string) *Tab { 260 return &Tab { 261 // ... 262 url: url, 263 264 Logger: log.New("url", url), 265 } 266 } 267 268 When a new tab is created, I assign a logger to it with the url of 269 the tab as context so it can easily be traced through the logs. 270 Now, whenever we perform any operation with the tab, we'll log with its 271 embedded logger and it will include the tab title automatically: 272 273 tab.Debug("moved position", "idx", tab.idx) 274 275 There's only one problem. What if the tab url changes? We could 276 use log.Lazy to make sure the current url is always written, but that 277 would mean that we couldn't trace a tab's full lifetime through our 278 logs after the user navigate to a new URL. 279 280 Instead, think about what values to attach to your loggers the 281 same way you think about what to use as a key in a SQL database schema. 282 If it's possible to use a natural key that is unique for the lifetime of the 283 object, do so. But otherwise, log15's ext package has a handy RandId 284 function to let you generate what you might call "surrogate keys" 285 They're just random hex identifiers to use for tracing. Back to our 286 Tab example, we would prefer to set up our Logger like so: 287 288 import logext "github.com/inconshreveable/log15/ext" 289 290 t := &Tab { 291 // ... 292 url: url, 293 } 294 295 t.Logger = log.New("id", logext.RandId(8), "url", log.Lazy{t.getUrl}) 296 return t 297 298 Now we'll have a unique traceable identifier even across loading new urls, but 299 we'll still be able to see the tab's current url in the log messages. 300 301 Must 302 303 For all Handler functions which can return an error, there is a version of that 304 function which will return no error but panics on failure. They are all available 305 on the Must object. For example: 306 307 log.Must.FileHandler("/path", log.JSONFormat) 308 log.Must.NetHandler("tcp", ":1234", log.JSONFormat) 309 310 Inspiration and Credit 311 312 All of the following excellent projects inspired the design of this library: 313 314 code.google.com/p/log4go 315 316 github.com/op/go-logging 317 318 github.com/technoweenie/grohl 319 320 github.com/Sirupsen/logrus 321 322 github.com/kr/logfmt 323 324 github.com/spacemonkeygo/spacelog 325 326 golang's stdlib, notably io and net/http 327 328 The Name 329 330 https://xkcd.com/927/ 331 332 */ 333 package log