import * as log from "https://deno.land/std@$STD_VERSION/log/mod.ts";
// Simple default logger out of the box. You can customize it
// by overriding logger and handler named "default", or providing
// additional logger configurations. You can log any data type.
log.debug("Hello world");
log.info(123456);
log.warning(true);
log.error({ foo: "bar", fizz: "bazz" });
log.critical("500 Internal server error");
// custom configuration with 2 loggers (the default and `tasks` loggers).
await log.setup({
handlers: {
console: new log.handlers.ConsoleHandler("DEBUG"),
file: new log.handlers.FileHandler("WARNING", {
filename: "./log.txt",
// you can change format of output message using any keys in `LogRecord`.
formatter: "{levelName} {msg}",
}),
},
loggers: {
// configure default logger available via short-hand methods above.
default: {
level: "DEBUG",
handlers: ["console", "file"],
},
tasks: {
level: "ERROR",
handlers: ["console"],
},
},
});
let logger;
// get default logger.
logger = log.getLogger();
logger.debug("fizz"); // logs to `console`, because `file` handler requires "WARNING" level.
logger.warning(41256); // logs to both `console` and `file` handlers.
// get custom logger
logger = log.getLogger("tasks");
logger.debug("fizz"); // won't get output because this logger has "ERROR" level.
logger.error({ productType: "book", value: "126.11" }); // log to `console`.
// if you try to use a logger that hasn't been configured
// you're good to go, it gets created automatically with level set to 0
// so no message is logged.
const unknownLogger = log.getLogger("mystery");
unknownLogger.info("foobar"); // no-op
Loggers are objects that you interact with. When you use a logger method it
constructs a LogRecord
and passes it down to its handlers for output. To
create custom loggers, specify them in loggers
when calling log.setup
.
LogRecord
is an object that encapsulates provided message and arguments as
well some meta data that can be later used when formatting a message.
class LogRecord {
readonly msg: string;
readonly args: any[];
readonly datetime: Date;
readonly level: number;
readonly levelName: string;
readonly loggerName: string;
}
Handlers are responsible for actual output of log messages. When a handler is
called by a logger, it firstly checks that LogRecord
's level is not lower than
level of the handler. If level check passes, handlers formats log record into
string and outputs it to target.
log
module comes with three built-in handlers:
This is the default logger. It will output color coded log messages to the
console via console.log()
. This logger takes HandlerOptions
:
type FormatterFunction = (logRecord: LogRecord) => string;
interface HandlerOptions {
formatter?: string | FormatterFunction; //see `Custom message format` below
}
This handler will output to a file using an optional mode (default is a
, e.g.
append). The file will grow indefinitely. It uses a buffer for writing to file.
Logs can be manually flushed with fileHandler.flush()
. Log messages with a log
level greater than error are immediately flushed. Logs are also flushed on
process completion. This logger takes FileOptions
:
interface FileHandlerOptions {
formatter?: string | FormatterFunction; //see `Custom message format` below
filename: string;
mode?: LogMode; // 'a', 'w', 'x'
}
Behavior of the log modes is as follows:
'a'
- Default mode. Appends new log messages to the end of an existing log file, or create a new log file if none exists.'w'
- Upon creation of the handler, any existing log file will be removed and a new one created.'x'
- This will create a new log file and throw an error if one already exists.
This handler requires --allow-write
permission on the log file.
This handler extends the functionality of the FileHandler
by "rotating" the
log file when it reaches a certain size. maxBytes
specifies the maximum size
in bytes that the log file can grow to before rolling over to a new one. If the
size of the new log message plus the current log file size exceeds maxBytes
then a roll over is triggered. When a roll over occurs, before the log message
is written, the log file is renamed and appended with .1
. If a .1
version
already existed, it would have been renamed .2
first and so on. The maximum
number of log files to keep is specified by maxBackupCount
. After the renames
are complete the log message is written to the original, now blank, file.
Example: Given log.txt
, log.txt.1
, log.txt.2
and log.txt.3
, a
maxBackupCount
of 3 and a new log message which would cause log.txt
to
exceed maxBytes
, then log.txt.2
would be renamed to log.txt.3
(thereby
discarding the original contents of log.txt.3
since 3 is the maximum number of
backups to keep), log.txt.1
would be renamed to log.txt.2
, log.txt
would
be renamed to log.txt.1
and finally log.txt
would be created from scratch
where the new log message would be written.
This handler uses a buffer for writing log messages to file. Logs can be
manually flushed with fileHandler.flush()
. Log messages with a log level
greater than ERROR are immediately flushed. Logs are also flushed on process
completion.
Options for this handler are:
interface RotatingFileHandlerOptions {
maxBytes: number;
maxBackupCount: number;
formatter?: string | FormatterFunction; //see `Custom message format` below
filename: string;
mode?: LogMode; // 'a', 'w', 'x'
}
Additional notes on mode
as described above:
'a'
Default mode. As above, this will pick up where the logs left off in rotation, or create a new log file if it doesn't exist.'w'
in addition to starting with a cleanfilename
, this mode will also cause any existing backups (up tomaxBackupCount
) to be deleted on setup giving a fully clean slate.'x'
requires that neitherfilename
, nor any backups (up tomaxBackupCount
), exist before setup.
This handler requires both --allow-read
and --allow-write
permissions on the
log files.
If you want to override default format of message you can define formatter
option for handler. It can be either simple string-based format that uses
LogRecord
fields or more complicated function-based one that takes LogRecord
as argument and outputs string.
Eg.
await log.setup({
handlers: {
stringFmt: new log.handlers.ConsoleHandler("DEBUG", {
formatter: "[{levelName}] {msg}"
}),
functionFmt: new log.handlers.ConsoleHandler("DEBUG", {
formatter: logRecord => {
let msg = `${logRecord.level} ${logRecord.msg}`;
logRecord.args.forEach((arg, index) => {
msg += `, arg${index}: ${arg}`;
});
return msg;
}
}),
anotherFmt: new log.handlers.ConsoleHandler("DEBUG", {
formatter: "[{loggerName}] - {levelName} {msg}"
}),
},
loggers: {
default: {
level: "DEBUG",
handlers: ["stringFmt", "functionFmt"],
},
dataLogger: {
level: "INFO",
handlers: ["anotherFmt"],
}
}
})
// calling:
log.debug("Hello, world!", 1, "two", [3, 4, 5]);
// results in:
[DEBUG] Hello, world! // output from "stringFmt" handler.
10 Hello, world!, arg0: 1, arg1: two, arg3: [3, 4, 5] // output from "functionFmt" formatter.
// calling:
log.getLogger("dataLogger").error("oh no!");
// results in:
[dataLogger] - ERROR oh no! // output from anotherFmt handler.
Custom handlers can be implemented by subclassing BaseHandler
or
WriterHandler
.
BaseHandler
is bare-bones handler that has no output logic at all,
WriterHandler
is an abstract class that supports any target with Writer
interface.
During setup async hooks setup
and destroy
are called, you can use them to
open and close file/HTTP connection or any other action you might need.
For examples check source code of FileHandler
and TestHandler
.
Log functions return the data passed in the msg
parameter. Data is returned
regardless if the logger actually logs it.
const stringData: string = logger.debug("hello world");
const booleanData: boolean = logger.debug(true, 1, "abc");
const fn = (): number => {
return 123;
};
const resolvedFunctionData: number = logger.debug(fn());
console.log(stringData); // 'hello world'
console.log(booleanData); // true
console.log(resolvedFunctionData); // 123
Some log statements are expensive to compute. In these cases, you can use lazy log evaluation to prevent the computation taking place if the logger won't log the message.
// `expensiveFn(5)` is only evaluated if this logger is configured for debug logging.
logger.debug(() => `this is expensive: ${expensiveFn(5)}`);
NOTE: When using lazy log evaluation,
undefined
will be returned if the resolver function is not called because the logger won't log it. It is an antipattern use lazy evaluation with inline logging because the return value depends on the current log level.
Example:
await log.setup({
handlers: {
console: new log.handlers.ConsoleHandler("DEBUG"),
},
loggers: {
tasks: {
level: "ERROR",
handlers: ["console"],
},
},
});
// not logged, as debug < error.
const data: string | undefined = logger.debug(() => someExpenseFn(5, true));
console.log(data); // undefined