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Adorkable/swift-log-format-and-pipe 0.1.1
Swift Logging API Handler that allows for formatting and redirecting log lines
⭐️ 30
🕓 22 weeks ago
.package(url: "https://github.com/Adorkable/swift-log-format-and-pipe.git", from: "0.1.1")

LoggingFormatAndPipe

LoggingFormatAndPipe provides a Swift Logging API Handler which allows you to customized both your log messages' formats as well as their destinations.

If you don't like the default log format change it to one you would like. If you want one destination to be formatted differently than your other destination you can with ease. Or send the same format to multiple destinations!

Installation | Getting Started | Documentation

Installation

SwiftPM

To use the LoggingFormatAndPipe library in your project add the following in your Package.swift:

.package(url: "https://github.com/adorkable/swift-log-format-and-pipe.git", .from("0.1.2")),

Getting Started

LoggingFormatAndPipe.Handler expects both a Formatter and a Pipe

let logger = Logger(label: "example") { _ in 
    return LoggingFormatAndPipe.Handler(
        formatter: ...,
        pipe: ...
    )
}

Example:

let logger = Logger(label: "example") { _ in 
	return LoggingFormatAndPipe.Handler(
		formatter: BasicFormatter.adorkable,
		pipe: LoggerTextOutputStreamPipe.standardOutput
	)
}

Formatting

There are a number of ways of customizing the format but are generally composed of a combination of LogComponents:

  • .timestamp - Timestamp of log
  • .level - Log level
  • .message - The actual message
  • .metadata - Log metadata
  • .file - The log's originating file
  • .line - The log's originating line number in the file
  • .function - The log's originating function
  • .text(String) - Static text
  • .group([LogComponents]) - Formatters may separate specified LogComponents in various ways as per their format, .group tells the Formatter to combine the LogComponents without using its separation

BasicFormatter

BasicFormatter allows you to specify a sequence of LogComponents and a separator string and automatically processes them into a single line for each new log message.

It includes already setup static instances:

  • .apple - apple/swift-log format

    {timestamp} {level}: {message}

    Example:

    2019-07-30T13:49:07-0400 error: Test error message

  • .adorkable - Adorkable's standard format 😘

    {timestamp} ▶ {level} ▶ {file}:{line} ▶ {function} ▶ {message} ▶ {metadata}

    Example:

    2019-07-30T13:49:07-0400 ▶ error ▶ /asdf/swift-log-format-and-pipe/Tests/LoggingFormatAndPipeTests/FormatterTests.swift:25 ▶ testFormatter(_:) ▶ Test error message

Customizing a BasicFormatter

If none of these work you can customize your own instance!

Suppose you want a special short log format with a timestamp, the level, the file it originated in, and the message itself:

let myFormat = BasicFormatter(
	[
		.timestamp, 
		.level,
		.file,
		.message
	]
)

To change the separator from a single space specify the separator parameter:

let myFormat = BasicFormatter(
	...,
	separator: "|"
)

Note that BasicFormatter will not add an empty string and separator for a nil metadata.

To change the timestamp from the default:

let myDateFormat = DateFormatter()
myDateFormat.dateFormat = "yyyy-MM-dd'T'HH:mm:ssZZZZZ"
let myFormat = BasicFormatter(
	...,
	timestampFormatter: myDateFormat
)

Implementing Formatter

You can also create your own Formatter conforming object by implementing:

  • var timestampFormatter: DateFormatter { get }
  • func processLog(level: Logger.Level, message: Logger.Message, prettyMetadata: String?, file: String, function: String, line: UInt) -> String

More formatters to come!

Piping

Pipes specify where your formatted log lines end up going to. Included already are:

  • LoggerTextOutputStreamPipe.standardOutput - log lines to stdout
  • LoggerTextOutputStreamPipe.standardError - log lines to stderr

More pipes to come!

Implementing Pipe

You can also create your own Pipe conforming object by implementing:

  • func handle(_ formattedLogLine: String)

Easy!

Now you've got your use-case formatted log lines traveling this way and then, what a charm 🖤

API Documentation

For more insight into the library API documentation is found in the repo here

GitHub

link
Stars: 30
Last commit: 22 weeks ago
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Dependencies

Swiftpack is being maintained by Petr Pavlik | @ptrpavlik | @swiftpackco | API | Analytics