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开源软件名称:CocoaLumberjack/CocoaLumberjack开源软件地址:https://github.com/CocoaLumberjack/CocoaLumberjack开源编程语言:Objective-C 83.0%开源软件介绍:CocoaLumberjackCocoaLumberjack is a fast & simple, yet powerful & flexible logging framework for macOS, iOS, tvOS and watchOS. How to get startedFirst, install CocoaLumberjack via CocoaPods, Carthage, Swift Package Manager or manually.
Then use CocoaPodsplatform :ios, '9.0'
target 'SampleTarget' do
use_frameworks!
pod 'CocoaLumberjack/Swift'
end Note: For Objective-C use the following: platform :ios, '9.0'
target 'SampleTarget' do
pod 'CocoaLumberjack'
end CarthageCarthage is a lightweight dependency manager for Swift and Objective-C. It leverages CocoaTouch modules and is less invasive than CocoaPods. To install with Carthage, follow the instruction on Carthage Cartfile
Swift Package ManagerAs of CocoaLumberjack 3.6.0, you can use the Swift Package Manager as integration method. If you want to use the Swift Package Manager as integration method, either use Xcode to add the package dependency or add the following dependency to your Package.swift: .package(url: "https://github.com/CocoaLumberjack/CocoaLumberjack.git", from: "3.7.0"), Note that you may need to add both products, Install manuallyIf you want to install CocoaLumberjack manually, read the manual installation guide for more information. Swift UsageUsually, you can simply DDLog.add(DDOSLogger.sharedInstance) // Uses os_log
let fileLogger: DDFileLogger = DDFileLogger() // File Logger
fileLogger.rollingFrequency = 60 * 60 * 24 // 24 hours
fileLogger.logFileManager.maximumNumberOfLogFiles = 7
DDLog.add(fileLogger)
...
DDLogVerbose("Verbose")
DDLogDebug("Debug")
DDLogInfo("Info")
DDLogWarn("Warn")
DDLogError("Error") Obj-C usageIf you're using Lumberjack as a framework, you can [DDLog addLogger:[DDOSLogger sharedInstance]]; // Uses os_log
DDFileLogger *fileLogger = [[DDFileLogger alloc] init]; // File Logger
fileLogger.rollingFrequency = 60 * 60 * 24; // 24 hour rolling
fileLogger.logFileManager.maximumNumberOfLogFiles = 7;
[DDLog addLogger:fileLogger];
...
DDLogVerbose(@"Verbose");
DDLogDebug(@"Debug");
DDLogInfo(@"Info");
DDLogWarn(@"Warn");
DDLogError(@"Error"); Objective-C ARC Semantic IssueWhen integrating Lumberjack into an existing Objective-C it is possible to run into Add swift-log backendCocoaLumberjack also ships with a backend implementation for swift-log.
Simply add CocoaLumberjack as dependency to your SPM target (see above) and also add the You can then use In your own log formatters, you can make use of the To use swift-log with CocoaLumberjack, take a look the following code snippet to see how to get started. // Import necessary packages
import CocoaLumberjackSwift
import CocoaLumberjackSwiftLogBackend
import Logging
// In your application's entry point (e.g. AppDelegate):
DDLog.add(DDOSLogger.sharedInstance) // Configure loggers
LoggingSystem.bootstrapWithCocoaLumberjack() // Use CocoaLumberjack as swift-log backend More information
CocoaLumberjack 3Migrating to 3.x
FeaturesLumberjack is Fast & Simple, yet Powerful & Flexible.It is similar in concept to other popular logging frameworks such as log4j, yet is designed specifically for Objective-C, and takes advantage of features such as multi-threading, grand central dispatch (if available), lockless atomic operations, and the dynamic nature of the Objective-C runtime. Lumberjack is FastIn most cases it is an order of magnitude faster than NSLog. Lumberjack is SimpleIt takes as little as a single line of code to configure lumberjack when your application launches. Then simply replace your NSLog statements with DDLog statements and that's about it. (And the DDLog macros have the exact same format and syntax as NSLog, so it's super easy.) Lumberjack is Powerful:One log statement can be sent to multiple loggers, meaning you can log to a file and the console simultaneously. Want more? Create your own loggers (it's easy) and send your log statements over the network. Or to a database or distributed file system. The sky is the limit. Lumberjack is Flexible:Configure your logging however you want. Change log levels per file (perfect for debugging). Change log levels per logger (verbose console, but concise log file). Change log levels per xcode configuration (verbose debug, but concise release). Have your log statements compiled out of the release build. Customize the number of log levels for your application. Add your own fine-grained logging. Dynamically change log levels during runtime. Choose how & when you want your log files to be rolled. Upload your log files to a central server. Compress archived log files to save disk space... This framework is for you if:
Documentation
RequirementsThe current version of Lumberjack requires:
Backwards compatibility
Communication
Data Collection PracticesPer App privacy details on the App Store, Apple is requesting app developers to provide info about their data collection, us SDK maintainers must provide them with the same data. Data collection by the frameworkBy default, CocoaLumberjack does NOT collect any data on its own. See our Data Collection Practices list. Indirect data collection through the frameworkCocoaLumberjack is a logging framework which makes it easy to send those logs to different platforms. This is why collecting data might happen quite easily, if app developers include any sensitive data into their log messages. Important note: app developers are fully responsible for any sensitive data collected through our logging system! In consequence, you must comply to the Apple's privacy details policy (mentioned above) and document the ways in which user data is being collected. Since the number of scenarios where data might be indirectly collected through CocoaLumberjack is quite large, it's up to you, as app developers, to properly review your app's code and identify those cases. What we can do to help is raise awareness about potential data collection through our framework. Private data includes but isn't limited to:
Example: Author
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Architecture |
2023-10-27
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