HMLLDB is a collection of LLDB commands to assist in the debugging of iOS apps.

Overview

HMLLDB is a collection of LLDB commands to assist in the debugging of iOS apps.
中文介绍

Features

  • Non-intrusive. Your iOS project does not need to be modified
  • All commands support real device and simulator
  • All commands support Objective-C and Swift project
  • Some commands provide interactive UI within the APP

Requirements

  • Xcode 12.3
  • 64-bit simulator or real device, iOS 9.0+
  • Debug configuration (or Optimization Level set [-O0]/[-Onone])

Installation

  1. Download all the files. I recommend cloning the repository.
  2. Open up (or create) ~/.lldbinit file, and append the following lines to the end of the file:
command script import /path/to/HMLLDB.py

For example, the command in my computer:
command script import /Users/pal/Desktop/gitProjects/HMLLDB/commands/HMLLDB.py

  1. Restart Xcode, run your own iOS project, click Pause program execution to enter the LLDB debugging mode, enter the command help, if you see the commands described below, the installation is successful.

Commands

Command Description
deletefile Delete the specified file in the sandbox
pbundlepath Print the path of the main bundle
phomedirectory Print the path of the home directory("~")
fclass Find the class containing the input name(Case insensitive)
fsubclass Find the subclass of the input
fsuperclass Find the superclass of the input
fmethod Find the specified method in the method list, you can also find the method list of the specified class
methods Execute [inputClass _methodDescription] or [inputClass _shortMethodDescription]
properties Execute [inputClass _propertyDescription]
ivars Execute [instance _ivarDescription]
plifecycle Print life cycle of UIViewController
redirect Redirect stdout/stderr
push Find UINavigationController in keyWindow then push a specified UIViewController
showhud Display the debug HUD on the key window, it is showing the memory usage, CPU utilization and FPS of the main thread
sandbox Presenting a sandbox browser that can share and delete files
inspect Inspect UIView
environment Show diagnostic environment.
...

All commands in the table can use help <command> to view the syntax and examples. For example, the output of help fmethod:

(lldb) help fmethod
     Find the method.  Expects 'raw' input (see 'help raw-input'.)

Syntax: fmethod

    Syntax:
        fmethod <methodName>  (Case insensitive.)
        fmethod [--class] <className>

    Options:
        --class/-c; Find all method in the class

    Examples:
        (lldb) fmethod viewdid
        (lldb) fmethod viewDidLayoutSubviews
        (lldb) fmethod -c UITableViewController

    This command is implemented in HMClassInfoCommands.py

Example

Some examples use the demo in the Kingfisher project.
It is recommended to click Pause program execution to enter the LLDB debugging mode to execute commands, instead of executing commands by hitting breakpoints.

deletefile

It is recommended to re-run the project after executing the command, because some data is still in the memory.

# Delete all file in the sandbox
(lldb) deletefile -a

# Delete the "~/Documents" directory
(lldb) deletefile -d

# Delete the "~/Library" directory
(lldb) deletefile -l

# Delete the "~/tmp" directory
(lldb) deletefile -t

# Delete the "~/Library/Caches" directory
(lldb) deletefile -c

# Delete the "~Library/Preferences" directory
(lldb) deletefile -p

# Delete the specified file or directory
(lldb) deletefile -f path/to/fileOrDirectory

pbundlepath & phomedirectory

# Print the path of the main bundle
(lldb) pbundlepath
[HMLLDB] /Users/pal/Library/Developer/CoreSimulator/Devices/D90D74C6-DBDF-4976-8BEF-E7BA549F8A89/data/Containers/Bundle/Application/84AE808C-6703-488D-86A2-C90004434D3A/Kingfisher-Demo.app

# Print the path of the home directory
(lldb) phomedirectory
[HMLLDB] /Users/pal/Library/Developer/CoreSimulator/Devices/D90D74C6-DBDF-4976-8BEF-E7BA549F8A89/data/Containers/Data/Application/3F3DF0CD-7B57-4E69-9F15-EB4CCA7C4DD8

# If it is running on the simulator, you can add the -o option to open path with Finder
(lldb) pbundlepath -o
(lldb) phomedirectory -o

fclass & fsubclass & fsuperclass & fmethod

These commands are optimized for Swift, and the namespace can be omitted when entering the Swift class.

fclass: Find all class names that contain the specified string.

(lldb) fclass NormalLoadingViewController
[HMLLDB] Waiting...
[HMLLDB] Count: 1 
Kingfisher_Demo.NormalLoadingViewController (0x102148fa8)

# Case insensitive
(lldb) fclass Kingfisher_Demo.im
[HMLLDB] Waiting...
[HMLLDB] Count: 2 
Kingfisher_Demo.ImageDataProviderCollectionViewController (0x102149a18)
Kingfisher_Demo.ImageCollectionViewCell (0x1021498e8)

fsubclass: Find all subclasses of a class.

(lldb) fsubclass UICollectionViewController
[HMLLDB] Waiting...
[HMLLDB] Subclass count: 10 
Kingfisher_Demo.InfinityCollectionViewController
Kingfisher_Demo.HighResolutionCollectionViewController
...

fsuperclass: Find the super class of a class.

(lldb) fsuperclass UIButton
[HMLLDB] UIButton : UIControl : UIView : UIResponder : NSObject

(lldb) fsuperclass KingfisherManager
[HMLLDB] Kingfisher.KingfisherManager : Swift._SwiftObject

fmethod: Find the specified method in the method list, you can also find the method list of the specified class.

# Find the specified method in the method list. Case insensitive.
(lldb) fmethod viewdidload
[HMLLDB] Waiting...
[HMLLDB] Methods count: 158 
(-) playbackControlsViewDidLoad:
	Type encoding:[email protected]:[email protected]
	Class:AVPlaybackControlsController
(-) turboModePlaybackControlsPlaceholderViewDidLoad:
	Type encoding:[email protected]:[email protected]
	Class:AVPlaybackControlsController
(-) viewDidLoad
	Type encoding:[email protected]:8
	Class:AVNewsWidgetPlayerBehaviorContext
...

# Option -c: Find the method list of the specified class. Case sensitive.
(lldb) fmethod -c ImageCache
[HMLLDB] Waiting...
[HMLLDB] Class: Kingfisher.ImageCache (0x10264c6f8)
Instance methods count: 3. Class method count: 0.
(-) cleanExpiredDiskCache
	Type encoding:[email protected]:8
(-) backgroundCleanExpiredDiskCache
	Type encoding:[email protected]:8
(-) clearMemoryCache
	Type encoding:[email protected]:8

methods & properties & ivars

methods: Execute [inputClass _methodDescription] or [inputClass _shortMethodDescription] properties: Execute [inputClass _propertyDescription] ivars: Execute [instance _ivarDescription]

These commands are optimized for Swift, and the namespace can be omitted when entering the Swift class.

# Syntax
methods [--short] <className/classInstance>
properties <className/classInstance>
ivars <Instance>

(lldb) methods NormalLoadingViewController
[HMLLDB] <Kingfisher_Demo.NormalLoadingViewController: 0x10d55ffa8>:
in Kingfisher_Demo.NormalLoadingViewController:
	Instance Methods:
		- (id) collectionView:(id)arg1 cellForItemAtIndexPath:(id)arg2; (0x10d523f30)
		- (long) collectionView:(id)arg1 numberOfItemsInSection:(long)arg2; (0x10d522a20)
		- (void) collectionView:(id)arg1 willDisplayCell:(id)arg2 forItemAtIndexPath:(id)arg3; (0x10d523af0)
		- (void) collectionView:(id)arg1 didEndDisplayingCell:(id)arg2 forItemAtIndexPath:(id)arg3; (0x10d522cb0)
		- (id) initWithCoder:(id)arg1; (0x10d522960)
...

# These commands can only be used for subclasses of NSObject
(lldb) methods KingfisherManager
[HMLLDB] KingfisherManager is not a subclass of NSObject

plifecycle

Used to print the life cycle of UIViewController.
In a non-intrusive way, and Xcode can set the console font color to make it clearer. It has become one of my favorite commands.

Usage:

  1. Create a Symbolic Breakpoint, and then add the method to be printed in the Symbol line.(e.g. -[UIViewController viewDidAppear:])
  2. Add a Action(Debugger Command), enter the plifecycle command
  3. Check the option: Automatically continue after evaluating actions

I usually use the -i option to ignore some system-generated UIViewController. img1

I often Enable viewDidAppear: and dealloc methods, and the other methods are set to Disable and started on demand, as shown below: img2

Output in Xcode: img3

It should be noted that there are two problems with this command.

  1. Cause UIViewController switching lag.
  2. The following warning may be triggered when starting the APP. You need to click Continue program execution in Xcode to let the APP continue to run.
Warning: hit breakpoint while running function, skipping commands and conditions to prevent recursion.

BTW, the source code provides other ways to use LLDB to print the life cycle.

redirect

Redirect stdout/stder.

# You can redirect the output of Xcode to Terminal if you use the simulator
# Open the terminal, enter the "tty" command, you can get the path: /dev/ttys000
(lldb) redirect both /dev/ttys000
[HMLLDB] redirect stdout successful
[HMLLDB] redirect stderr successful

push

Find UINavigationController in keyWindow then push a specified UIViewController.
Notice: push MyViewController needs to execute [[MyViewController alloc] init] first. If the initializer of the class requires parameters, or the class needs to pass parameters after initialization, this command may cause errors.
The GIF demo didn't use Kingfisher because the UIViewController in the demo depends on the storyboard.
img4

showhud

Display the debug HUD on the keyWindow, it is showing the memory usage, CPU utilization and FPS of the main thread. img5

Tapping the debug HUD will present a new view controller, and its function will be introduced later. img6

sandbox

Presenting a sandbox browser that can share and delete files.
It takes a few seconds to call the command for the first time. img7

inspect

Inspect UIView of the current page.
img8

environment

Show diagnostic environment.
You can see that one of items is [Git commit hash], which is one of the reasons why clone repository is recommended.

(lldb) environment
[HMLLDB] [Python version] 3.8.2 (default, Nov  4 2020, 21:23:28) 
		[Clang 12.0.0 (clang-1200.0.32.28)]
[HMLLDB] [LLDB version] lldb-1200.0.44.2
		Apple Swift version 5.3.2 (swiftlang-1200.0.45 clang-1200.0.32.28)
[HMLLDB] [Target triple] x86_64h-apple-ios-simulator
[HMLLDB] [Git commit hash] 088f654cb158ffb16019b2deca5dce36256837ad
[HMLLDB] [Optimized] False: 28  True: 0
[HMLLDB] [Xcode version] 1230
[HMLLDB] [Xcode build version] 12C33
[HMLLDB] [Model identifier] x86_64
[HMLLDB] [System version] iOS 13.0

If an error occurs

Just-in-time compilation via LLDB is not stable. If an error occurs, please check in order according to the following steps.

  1. pull the latest code. Check the Xcode version, HMLLDB generally only adapts to the latest Xcode version.
  2. Open the ~/.lldbinit file and make sure to import the HMLLDB.py at the end of the file so that its commands are not overwritten.
  3. After launching the APP, click Pause program execution to enter the LLDB debugging mode to execute commands, instead of executing commands by hitting breakpoints. (In general, you can execute commands by hitting breakpoints)
  4. Restart Xcode can solve most problems.
  5. Restart the computer.
  6. After completing the above steps, the command still fails. Please copy the error and post it to Issue, and execute the environment command, its output should also be posted to Issue.

License

HMLLDB is released under the MIT license. See LICENSE for details.

Owner
mao2020
iOS Developer
mao2020
A curated list of awesome Deep Learning tutorials, projects and communities.

Awesome Deep Learning Table of Contents Books Courses Videos and Lectures Papers Tutorials Researchers Websites Datasets Conferences Frameworks Tools

Christos 20k Jan 05, 2023
Diverse Object-Scene Compositions For Zero-Shot Action Recognition

Diverse Object-Scene Compositions For Zero-Shot Action Recognition This repository contains the source code for the use of object-scene compositions f

7 Sep 21, 2022
I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining

I-SECRET This is the implementation of the MICCAI 2021 Paper "I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive con

13 Dec 02, 2022
PyTorch implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer [Paper] [PyTorch Implementation] [Paddle Implementation] Overview This reposit

148 Dec 30, 2022
Official implementation for paper: Feature-Style Encoder for Style-Based GAN Inversion

Feature-Style Encoder for Style-Based GAN Inversion Official implementation for paper: Feature-Style Encoder for Style-Based GAN Inversion. Code will

InterDigital 63 Jan 03, 2023
MediaPipe is a an open-source framework from Google for building multimodal

MediaPipe is a an open-source framework from Google for building multimodal (eg. video, audio, any time series data), cross platform (i.e Android, iOS, web, edge devices) applied ML pipelines. It is

Bhavishya Pandit 3 Sep 30, 2022
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

1.1k Jan 03, 2023
Poplar implementation of "Bundle Adjustment on a Graph Processor" (CVPR 2020)

Poplar Implementation of Bundle Adjustment using Gaussian Belief Propagation on Graphcore's IPU Implementation of CVPR 2020 paper: Bundle Adjustment o

Joe Ortiz 34 Dec 05, 2022
Spatial-Location-Constraint-Prototype-Loss-for-Open-Set-Recognition

Spatial Location Constraint Prototype Loss for Open Set Recognition Official PyTorch implementation of "Spatial Location Constraint Prototype Loss for

Xia Ziheng 12 Jun 24, 2022
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

datasketch: Big Data Looks Small datasketch gives you probabilistic data structures that can process and search very large amount of data super fast,

Eric Zhu 1.9k Jan 07, 2023
The fundamental package for scientific computing with Python.

NumPy is the fundamental package needed for scientific computing with Python. Website: https://www.numpy.org Documentation: https://numpy.org/doc Mail

NumPy 22.4k Jan 09, 2023
CNN visualization tool in TensorFlow

tf_cnnvis A blog post describing the library: https://medium.com/@falaktheoptimist/want-to-look-inside-your-cnn-we-have-just-the-right-tool-for-you-ad

InFoCusp 778 Jan 02, 2023
This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.

Pruning Self-attentions into Convolutional Layers in Single Path This is the official repository for our paper: Pruning Self-attentions into Convoluti

Zhuang AI Group 77 Dec 26, 2022
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience This repository is the official implementation of [https://www.bi

Eulerlab 6 Oct 09, 2022
PASSL包含 SimCLR,MoCo,BYOL,CLIP等基于对比学习的图像自监督算法以及 Vision-Transformer,Swin-Transformer,BEiT,CVT,T2T,MLP_Mixer等视觉Transformer算法

PASSL Introduction PASSL is a Paddle based vision library for state-of-the-art Self-Supervised Learning research with PaddlePaddle. PASSL aims to acce

186 Dec 29, 2022
Datasets, Transforms and Models specific to Computer Vision

torchvision The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. Installat

13.1k Jan 02, 2023
Gym environment for FLIPIT: The Game of "Stealthy Takeover"

gym-flipit Gym environment for FLIPIT: The Game of "Stealthy Takeover" invented by Marten van Dijk, Ari Juels, Alina Oprea, and Ronald L. Rivest. Desi

Lisa Oakley 2 Dec 15, 2021
Official implementation of "Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation" (RSS 2022)

Intro Official implementation of "Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation" Robotics:Science and

Yunho Kim 21 Dec 07, 2022
This repository contains the needed resources to build the HIRID-ICU-Benchmark dataset

HiRID-ICU-Benchmark This repository contains the needed resources to build the HIRID-ICU-Benchmark dataset for which the manuscript can be found here.

Biomedical Informatics at ETH Zurich 30 Dec 16, 2022
Imaging, analysis, and simulation software for radio interferometry

ehtim (eht-imaging) Python modules for simulating and manipulating VLBI data and producing images with regularized maximum likelihood methods. This ve

Andrew Chael 5.2k Dec 28, 2022