Willow is a powerful, yet lightweight logging library written in Swift.
- Features
- Requirements
- Migration Guides
- Communication
- Installation
- Usage
- Advanced Usage
- FAQ
- License
- Creators
- Default Log Levels
- Custom Log Levels
- Simple Logging Functions using Closures
- Configurable Synchronous or Asynchronous Execution
- Thread-Safe Logging Output (No Log Mangling)
- Custom Writers through Dependency Injection
- Custom Modifiers through Dependency Injection per Writer
- Supports Multiple Simultaneous Writers
- Shared Loggers Between Frameworks
- Shared Locks or Queues Between Multiple Loggers
- Comprehensive Unit Test Coverage
- Complete Documentation
- iOS 9.0+ / Mac OS X 10.11+ / tvOS 9.0+ / watchOS 2.0+
- Xcode 9.0+
- Swift 4.0+
- Need help? Open an issue.
- Have a feature request? Open an issue.
- Find a bug? Open an issue.
- Want to contribute? Fork the repo and submit a pull request.
CocoaPods is a dependency manager for Cocoa projects. You can install it with the following command:
[sudo] gem install cocoapodsCocoaPods 1.1+ is required.
To integrate Willow into your project, specify it in your Podfile:
source 'https://github.com/CocoaPods/Specs.git'
platform :ios, '10.0'
use_frameworks!
pod 'Willow', '~> 4.0'Then, run the following command:
$ pod installCarthage is a decentralized dependency manager that builds your dependencies and provides you with binary frameworks.
You can install Carthage with Homebrew using the following command:
brew update
brew install carthageTo integrate Willow into your Xcode project using Carthage, specify it in your Cartfile:
github "Nike-Inc/Willow" ~> 4.0
Run carthage update to build the framework and drag the built Willow.framework into your Xcode project.
import Willow
let defaultLogger = Logger(logLevels: [.all], writers: [ConsoleWriter()])The Logger initializer takes three parameters to customize the behavior of the logger instance.
-
logLevels: [LogLevel]- The log message levels that should be processed. Messages that don't match the current log level are not processed. -
writers: [Writer]- The array of writers to write to. Writers can be used to log output to a specific destination such as the console, a file, or an external service. -
executionMethod: ExecutionMethod = .synchronous(lock: NSRecursiveLock())- The execution method used when writing messages.
Logger objects can only be customized during initialization. If you need to change a Logger at runtime, it is advised to create an additional logger with a custom configuration to fit your needs. It is perfectly acceptable to have many different Logger instances running simultaneously.
The print function does not guarantee that the String parameter will be fully logged to the console. If two print calls are happening simultaneously from two different queues (threads), the messages can get mangled, or intertwined. Willow guarantees that messages are completely finished writing before starting on the next one.
It is important to note that by creating multiple
Loggerinstances, you can potentially lose the guarantee of thread-safe logging. If you want to use multipleLoggerinstances, you should create aNSRecursiveLockorDispatchQueuethat is shared between both configurations. For more info...see the Advanced Usage section.
Willow can log two different types: Messages and Strings.
-
Messages are structured data with a name and a dictionary of attributes. Willow declares the
LogMessageprotocol which frameworks and applications can use as the basis for concrete implementations. Messages are a good choice if you want to provide context information along with the log text (e.g. routing log information to an external system like New Relic). -
Strings are just
Stringswith no additional data.
The logging syntax of Willow was optimized to make logging as lightweight and easy to remember as possible. Developers should be able to focus on the task at hand and not remembering how to write a log message.
let log = Logger()
// Option 1
log.debug("Debug Message") // Debug Message
log.info("Info Message") // Info Message
log.event("Event Message") // Event Message
log.warn("Warn Message") // Warn Message
log.error("Error Message") // Error Message
// or
// Option 2
log.debug { "Debug Message" } // Debug Message
log.info { "Info Message" } // Info Message
log.event { "Event Message" } // Event Message
log.warn { "Warn Message" } // Warn Message
log.error { "Error Message" } // Error MessageBoth of these approaches are equivalent. The first set of APIs accept autoclosures and the second set accept closures.
Feel free to use whichever syntax you prefer for your project. Also, by default, only the
Stringreturned by the closure will be logged. See the Log Modifiers section for more information about customizing log message formats.
The reason both sets of APIs use closures to extract the log message is performance.
There are some VERY important performance considerations when designing a logging solution that are described in more detail in the Closure Performance section.
Logging a message is easy, but knowing when to add the logic necessary to build a log message and tune it for performance can be a bit tricky. We want to make sure logic is encapsulated and very performant. Willow log level closures allow you to cleanly wrap all the logic to build up the message.
log.debug {
// First let's run a giant for loop to collect some info
// Now let's scan through the results to get some aggregate values
// Now I need to format the data
return "Computed Data Value: \(dataValue)"
}
log.info {
let countriesString = ",".join(countriesArray)
return "Countries: \(countriesString)"
}Unlike the Single Line Closures, the Multi-Line Closures require a
returndeclaration.
Willow works exclusively with logging closures to ensure the maximum performance in all situations. Closures defer the execution of all the logic inside the closure until absolutely necessary, including the string evaluation itself. In cases where the Logger instance is disabled, log execution time was reduced by 97% over the traditional log message methods taking a String parameter. Additionally, the overhead for creating a closure was measured at 1% over the traditional method making it negligible. In summary, closures allow Willow to be extremely performant in all situations.
The Logger class has an enabled property to allow you to completely disable logging. This can be helpful for turning off specific Logger objects at the app level, or more commonly to disable logging in a third-party library.
let log = Logger()
log.enabled = false
// No log messages will get sent to the registered Writers
log.enabled = true
// We're back in business...Logging can greatly affect the runtime performance of your application or library. Willow makes it very easy to log messages synchronously or asynchronously. You can define this behavior when creating the LoggerConfiguration for your Logger instance.
let queue = DispatchQueue(label: "serial.queue", qos: .utility)
let log = Logger(logLevels: [.all], writers: [ConsoleWriter()], executionMethod: .asynchronous(queue: queue))Synchronous logging is very helpful when you are developing your application or library. The log operation will be completed before executing the next line of code. This can be very useful when stepping through the debugger. The downside is that this can seriously affect performance if logging on the main thread.
Asynchronous logging should be used for deployment builds of your application or library. This will offload the logging operations to a separate dispatch queue that will not affect the performance of the main thread. This allows you to still capture logs in the manner that the Logger is configured, yet not affect the performance of the main thread operations.
These are large generalizations about the typical use cases for one approach versus the other. Before making a final decision about which approach to use when, you should really break down your use case in detail.
Writing log messages to various locations is an essential feature of any robust logging library. This is made possible in Willow through the LogWriter protocol.
public protocol LogWriter {
func writeMessage(_ message: String, logLevel: LogLevel)
func writeMessage(_ message: Message, logLevel: LogLevel)
}Again, this is an extremely lightweight design to allow for ultimate flexibility. As long as your LogWriter classes conform, you can do anything with those log messages that you want. You could write the message to the console, append it to a file, send it to a server, etc. Here's a quick look at a simple write that writes to the console.
open class ConsoleWriter: LogMessageWriter {
open func writeMessage(_ message: String, logLevel: LogLevel) {
print(message)
}
open func writeMessage(_ message: LogMessage, logLevel: LogLevel) {
let message = "\(message.name): \(message.attributes)"
print(message)
}
}Log message customization is something that Willow specializes in. Some devs want to add a prefix to their library output, some want different timestamp formats, some even want emoji! There's no way to predict all the types of custom formatting teams are going to want to use. This is where LogModifier objects come in.
public protocol LogModifier {
func modifyMessage(_ message: String, with logLevel: LogLevel) -> String
}The LogModifier protocol has only a single API. It receives the message and logLevel and returns a newly formatted String. This is about as flexible as you can get.
For writers that are intended to output strings (e.g. writing to the console, files, etc…) the LogModifierWriter protocol adds the concept of an array of LogModifier objects to LogWriter that will be applied to the message before it is output.
Let's walk through a simple example for adding a prefix to a logger for the debug and info log levels.
class PrefixModifier: LogModifier {
func modifyMessage(_ message: String, with logLevel: Logger.LogLevel) -> String {
return "[Willow] \(message)"
}
}
let prefixModifiers = [PrefixModifier()]
let writers = [ConsoleWriter(modifiers: prefixModifier)]
let log = Logger(logLevels: [.debug, .info], writers: writers)To apply modifiers consistently to strings, LogModifierWriter objects should call modifyMessage(message:logLevel:) to create a new string based on the original string with all the modifiers applied in order.
open func writeMessage(_ message: String, logLevel: LogLevel) {
let message = modifyMessage(message, logLevel: logLevel)
print(message)
}Multiple LogModifier objects can be stacked together onto a single log level to perform multiple actions. Let's walk through using the TimestampModifier (prefixes the message with a timestamp) in combination with an EmojiModifier.
class EmojiModifier: LogModifier {
func modify(_ message: String, with logLevel: Logger.LogLevel) -> String {
return "🚀🚀🚀 \(message)"
}
}
let writers: = [ConsoleWriter(modifiers: [EmojiModifier(), TimestampModifier()])]
let log = Logger(logLevels: [.all], writers: writers)Willow doesn't have any hard limits on the total number of LogModifier objects that can be applied to a single log level. Just keep in mind that performance is key.
The default
ConsoleWriterwill execute the modifiers in the same order they were added into theArray. In the previous example, Willow would log a much different message if theTimestampModifierwas inserted before theEmojiModifier.
The OSLogWriter class allows you to use the os_log APIs within the Willow system. In order to use it, all you need to do is to create the LogModifier instance and add it to the Logger.
let writers = [OSLogWriter(subsystem: "com.nike.willow.example", category: "testing")]
let log = Logger(logLevels: [.all], writers: writers)
log.debug("Hello world...coming to your from the os_log APIs!")So what about logging to both a file and the console at the same time? No problem. You can pass multiple LogWriter objects into the Logger initializer. The Logger will execute each LogWriter in the order it was passed in. For example, let's create a FileWriter and combine that with our ConsoleWriter.
public class FileWriter: LogWriter {
public func writeMessage(_ message: String, logLevel: Logger.LogLevel, modifiers: [LogMessageModifier]?) {
var message = message
modifiers?.map { message = $0.modifyMessage(message, with: logLevel) }
// Write the formatted message to a file (We'll leave this to you!)
}
public func writeMessage(_ message: LogMessage, logLevel: LogLevel) {
let message = "\(message.name): \(message.attributes)"
// Write the formatted message to a file (We'll leave this to you!)
}
}
let writers: [LogMessageWriter] = [FileWriter(), ConsoleWriter()]
let log = Logger(logLevels: [.all], writers: writers)
LogWriterobjects can also be selective about which modifiers they want to run for a particular log level. All the examples run all the modifiers, but you can be selective if you want to be.
Depending upon the situation, the need to support additional log levels may arise. Willow can easily support additional log levels through the art of bitmasking. Since the internal RawValue of a LogLevel is a UInt, Willow can support up to 32 log levels simultaneously for a single Logger. Since there are 7 default log levels, Willow can support up to 27 custom log levels for a single logger. That should be more than enough to handle even the most complex of logging solutions.
Creating custom log levels is very simple. Here's a quick example of how to do so. First, you must create a LogLevel extension and add your custom values.
extension LogLevel {
private static var verbose = LogLevel(rawValue: 0b00000000_00000000_00000001_00000000)
}It's a good idea to make the values for custom log levels
varinstead oflet. In the event of two frameworks using the same custom log level bit mask, the application can re-assign one of the frameworks to a new value.
Now that we have a custom log level called verbose, we need to extend the Logger class to be able to easily call it.
extension Logger {
public func verbose(_ message: @autoclosure @escaping () -> String) {
logMessage(message, withLogLevel: .verbose)
}
public func verbose(_ message: @escaping () -> String) {
logMessage(message, withLogLevel: .verbose)
}
}Finally, using the new log level is a simple as...
let log = Logger(logLevels: [.all], writers: [ConsoleWriter()])
log.verbose("My first verbose log message!")The
alllog level contains a bitmask where all bits are set to 1. This means that thealllog level will contain all custom log levels automatically.
Defining a single Logger and sharing that instance several frameworks can be very advantageous, especially with the addition of Frameworks in iOS 8. Now that we're going to be creating more frameworks inside our own apps to be shared between apps, extensions and third party libraries, wouldn't it be nice if we could share Logger instances?
Let's walk through a quick example of a Math framework sharing a Logger with it's parent Calculator app.
//=========== Inside Math.swift ===========
public var log = Logger(logLevels [.warn, .error], writers: [ConsoleWriter()]) // We're going to replace this
//=========== Calculator.swift ===========
import Math
let writers: [LogMessageWriter] = [FileWriter(), ConsoleWriter()]
var log = Logger(logLevels: [.all], writers: writers)
// Replace the Math.log with the Calculator.log to share the same Logger instance
Math.log = logIt's very simple to swap out a pre-existing Logger with a new one.
The previous example showed how to share Logger instances between multiple frameworks. Something more likely though is that you would want to have each third party library or internal framework to have their own Logger with their own configuration. The one thing that you really want to share is the NSRecursiveLock or DispatchQueue that they run on. This will ensure all your logging is thread-safe. Here's the previous example demonstrating how to create multiple Logger instances with different configurations and share the queue.
//=========== Inside Math.swift ===========
public var log = Logger(logLevels: [.warn, .error], writers: [ConsoleWriter()]) // We're going to replace this
//=========== Calculator.swift ===========
import Math
// Create a single queue to share
let sharedQueue = DispatchQueue(label: "com.math.logger", qos: .utility)
// Create the Calculator.log with multiple writers and a .Debug log level
let writers: [LogMessageWriter] = [FileWriter(), ConsoleWriter()]
var log = Logger(logLevels: [.all], writers: writers, executionMethod: .asynchronous(queue: sharedQueue))
// Replace the Math.log with a new instance with all the same configuration values except a shared queue
Math.log = Logger(logLevels: math.log.logLevel, writers: math.log.writers, executionMethod: .asynchronous(queue: sharedQueue))Willow is a very lightweight library, but its flexibility allows it to become very powerful if you so wish.
Simple...simplicity and elegance. Contextually it gets difficult to understand which log level you need if you have too many. However, that doesn't mean that this is always the perfect solution for everyone or every use case. This is why there are 5 default log levels, with support for easily adding additional ones.
As for the naming, here's my own mental breakdown of each log level for an iOS app (obviously it depends on your use case).
debug- Highly detailed information of a contextinfo- Summary information of a contextevent- User driven interactions such as button taps, view transitions, selecting a cellwarn- An error occurred but it is recoverableerror- A non-recoverable error occurred
If you are starting a new iOS project in Swift and want to take advantage of many new conventions and features of the language, Willow would be a great choice. If you are still working in Objective-C, a pure Objective-C library such as the amazing CocoaLumberjack would probably be more appropriate.
Willow is named after the one, the only, Willow tree.
Willow is released under the MIT license. See LICENSE for details.