Forestry: A Swift Logging Framework
Our team envisioned a versatile logging framework for iOS projects that could easily cater to specific logging needs. We aimed to facilitate seamless switching between logging services without disrupting the existing codebase. Today, we’re proud to present Forestry – an open-source logging library designed to meet these objectives.
Features
- One logger to rule them all: whether you’re only interested in logging to the console or need to log billions of records in production, we’ve got you covered!
- Easy extensibility
- Supports major external logging services & local file logging out of the box
- Written in Swift
- The public API of ForestryLoggerLibrary is fully covered by tests.
Installation
Swift Package Manager
Swift Package Manager is a tool for managing the distribution of Swift code. It’s integrated with the Swift build system to automate the process of downloading, compiling, and linking dependencies.
Xcode 11+ is required to build Forestry iOS Logger using Swift Package Manager.
To integrate Forestry iOS Logger into your Xcode project using Swift Package Manager, add it to the dependencies value of your Package.swift:
dependencies: [
.package(url: "https://github.com/cleevio/Forestry", .upToNextMajor(from: "3.0.0"))
]
Usage/Examples
Core of library is ForestryLogger
struct. During initialization you provide logging services to log to
Common usage is as follows:
#if DEBUG
let log = ForestryLogger(services: [ConsoleLogger()])
#else
let log = ForestryLogger(services: [ConsoleLogger(), SwiftyBeaverLogger()])
#endif
It is also possible to instantiate services with convenience functions:
let log = ForestryLogger(service: .console)
let log2 = ForestryLogger(services: [.console, .datadog(clientToken: "", environment: "", serviceName: "")])
You can always expend the functionality by creating your own logging service by conforming to the LoggerService
protocol. ForestryLoggerLibrary documentation
Integrations
Forestry currently includes integrations to following third party logging services.
- DataDog
- Sentry (error logging only)
- SwiftyBeaver Cloud
- LogRocket
TODO
- Implement Thread support in log() function if possible
- Implement handling UserInfo in SwiftyBeaverLogger
- Implement privacy support
- Implement support for other platforms
License
Developed by
The good guys from Cleevio.