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Logging infrastructure inspired by the Python logging module. The aim of this module is to provide a quick and easy to use logging infrastructure.
It has the following features :
string
or string lazy_t
MakeLogging
functor.open Easy_logging
logger = Logging.make_logger "my_logger" (Some Debug) [Cli Debug];;
logger#info "log_message";;
will output to the stdout a message of the form
1.306 my_logger Info log_message
Like in the python logging module, this logging infrastructure is based on three concepts:
loggers, handlers and log items.
A call to logger will create a log item, which it will pass to its handlers. Each handler will treats the item (e.g. transform it to a string, and then outputs to stdout or to a file).
___________ | handler 1 | _______________ |-----------| | logger | ==> | ( * ) | |---------------| |___________| message ==> | -> log item | ___________ [_______________| ==> | handler 2 | | ... |
To each logger and log message are associated a level, which will be used to filter the messages going through the logging infrastructure.
The predefined levels are, in increasing order of precedence :
A log item has type
type log_item = {
level : level;
logger_name : string;
msg : string;
tags : tag list
}
where the tag
type if defined by the Handlers
module.
By default, two handlers are provided. They are instantiated with a level of their own to filter messages :
Cli handler: outputs colored messages to stdout.
let h = Default_handlers.make (Cli Debug)
File handler : outputs messages to a given file.
let h = Default_handlers.make (File ("filename", Debug))
Note that file handlers will write to files in the logs
folder in the current path, creating it if it doesn't exist. See more about default handlers at Easy_logging__Default_handlers
.
See complete class documentation at Easy_logging.Logging.logger
A logger object can be created directly :
let logger1 = new Logging.logger "my_logger1" (Some Warning) [Cli Debug]
or through the make_logger function :
let logger2 = Logging.make_logger "my_logger2" (Some Debug) [Cli Debug]
The make_logger
function will register the logger instance internaly so that it will be possible to access and modify it from anywhere in the program.
A logger object has two methods for each of the log levels: one that takes a string
, and one that takes a string lazy_t
.
logger1#debug "x is alive";
logger1#ldebug (lazy (heavy_calculation ()));
The Easy_logging.Logging
module is that application of MakeLogging
over DefaultHandlers
. It provides three functions :
val make_logger :
string -> log_level option -> Default_handlers.desc list
to instantiate and register a logger
val set_level : string -> log_level option -> unit
set_level prefix level
sets the level of all registered loggers whose name begins by prefix
to level
.
val get_logger : string -> logger
Returns a registered logger.
The MakeLogging functor takes a Easy_logging__.Easy_logging_types.HandlersT
typed module, and creates a Logging module.
When declaring your Handlers module, do not give it the type HandlersT
, because then its internal types t
and desc
won't be accessible.
Here is a very simple example :
module MyHandlers =
struct
type t = string -> unit
type desc = string list ref
let set_formatter _ _ = ()
let set_level _ _ = ()
let apply h (item : log_item) = h item.msg
let make (_internal : desc) =
fun s -> _internal := s::!_internal
end
module MyLogging = MakeLogging(MyHandlers)
let l = ref [];;
let mylogger = MyLogging.make_logger "mylogger" (Some Debug) [l];;
mylogger#info "this is a message";