From e0df786c347e40e46eeff3cbe1acd4349713ef90 Mon Sep 17 00:00:00 2001 From: fourminute <38321299+fourminute@users.noreply.github.com> Date: Sun, 26 May 2019 00:31:36 -0700 Subject: [PATCH] v2.9.0 (#58) * Goldleaf v0.6 * Further UI improvements for Goldleaf v0.6 * Update fluffy.pyw * Further fixes. * Somewhat stable.......... * Fixes * More bug fixes and stability + security * File rename fix. * Window resizing is automated. * Update README.md * Update README.md * Update README.md * Update README.md * Proper scaling for Goldleaf logo. * Update README.md * Update README.md * Update requirements.txt * Update requirements.txt * Better USB, less error messages. * MacOS, FreeBSD, OpenBSD Fix * MacOS Fix Further. * Change wording, some more fixes. * Daemon threads yeeboiiiiii * Object Orientated 101 * I forgot what I changed but its a lot. * Language additions and stuff. * Logging fix. * Scaling Fix. * More Object Oriented stuff, goldleaf filewrite fix. * Donation information added. * Translation fixes. Yes I used google translate. * Add files via upload * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Additional logging, slight bug fix. * No longer require psutil. * Update README.md * Some bug fixes. * I could have used bool with None but whatever. * Credit list shuffle. * Proper task canceling. * Update README.md * Code improvements, better logging, dark mode. * Update requirements.txt * usb.core.NoBackendError Fix. * Update README.md * Generate LibUSB.dll Automatically on Windows. * Minor correction to previous commit. * Update fluffy.pyw * Fluffy Now Fluffier * Update fluffy.pyw * Update README.md * Blurry Icon Fix. * Update fluffy.pyw * Add files via upload * Update README.md * Update README.md * Fix About Icon * Update fluffy.pyw * Update README.md * Delete requirements.txt * Delete setup.bat * Delete run.bat * Fix bug that probably only affects me. * Update fluffy.pyw * Update fluffy.pyw * Update README.md * Updated Light Logo. * Update README.md * Update fluffy.pyw * Update README.md * Update README.md * Update README.md * Update README.md * Copyright changes * Update README.md * Delete screenshot-fluffy-v240c.png * Delete ui290.png * Delete screenshotv250b.png * Delete may_inlay.png * Add files via upload * Removing the ugly * Update README_CH.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update fluffy.pyw --- README.md | 134 ++-- README_CH.md | 10 +- fluffy.pyw | 1536 +++++++++++++++++++++++++++--------------- misc/inlayv4dark.png | Bin 0 -> 26081 bytes requirements.txt | 4 - run.bat | 10 - setup.bat | 45 -- 7 files changed, 1065 insertions(+), 674 deletions(-) create mode 100644 misc/inlayv4dark.png delete mode 100644 requirements.txt delete mode 100644 run.bat delete mode 100644 setup.bat diff --git a/README.md b/README.md index 61e2399..575974a 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # Fluffy -![intro](https://github.com/fourminute/Fluffy/blob/master/misc/fluffy-intro.png?raw=true) +![intro](https://github.com/fourminute/Fluffy/blob/master/misc/may_intro_v4.png?raw=true) 查看中文使用说明,请点击这里! #### All donations are appreciated! Thank you if you decide to donate! @@ -9,48 +9,81 @@ ![License](https://img.shields.io/badge/License-GPLv3-blue.svg) [![Releases](https://img.shields.io/github/downloads/fourminute/fluffy/total.svg)]() [![LatestVer](https://img.shields.io/github/release-pre/fourminute/fluffy.svg)]() -### Latest Release v2.8.0 +### Latest Release v2.9.0 ### Download Recommended TinFoil.nro ## Features * Support for XorTroll/Goldleaf and Adubbz/Tinfoil * Support for languages: English, Chinese, Vietnamese, Spanish, French, Brazilian Portuguese, Turkish, Italian, German, and Bahasa Indonesia! -* Cross platform, Fluffy works natively on Windows, Linux, and MacOS! +* Cross platform: Fluffy works natively on Windows, Linux, and MacOS! * USB and Network: Display live transfer rate in MB/s with progress percentage. * USB and Network: Display current NSP being installed and numbered queue. * USB and Network: Batch NSP install support with individual selection. * USB and Network: Consecutive installs without restart. * USB and Network: Exception/Error handling, no restart required when an installation fails. * USB and Network: Ability to abort an installation in queue. -* Network: Spoof file URL's to fix lengthy file name bug in Tinfoil's code. -* Network: Randomized port selection. -* Goldleaf: Display name of current NCA being installed and numbered queue. -* Goldleaf: Goldleaf v0.5 Compatible. -* USB: Selectable transfer rates between "Normal Mode" and "Safe Mode". +* Tinfoil Network: Spoof file URL's to fix lengthy file name bug in Tinfoil's code. +* Tinfoil Network: Randomized port selection. +* Tinfoil Network: By default fall-back to Network Mode in the event USB mode can't be used(e.g. missing libraries). +* Goldleaf: Display current file being accessed. +* Goldleaf: Goldleaf v0.6 compatible with all of the file handling features. +* Goldleaf: Default protections are in place to safe-guard users from a potentially compromised Goldleaf file. + * Default: File operations such as file creation, deletion, renaming will result in a user-prompt(yes or no). + * Default: Read-only access for all files. + * Default: Read/write to non-NSP files are restricted. + * All of these security restrictions are changeable in fluffy.conf. +* Tinfoil USB: Selectable transfer rates between "Normal Mode" and "Safe Mode" for those with aging hardware(e.g. out of spec USB ports). * USB: Switch connected indicator. -* Smart User-Interface, switches between Tkinter and PyQt depending on modules installed. (v1.4.1 and below only) -* Support for UI scaling on 4K, 1080P, and 720P displays. -* Switch Firmware 5.x USB Fix (Thanks to satelliteseeker for finding this fix, choose 'Safe Mode') -* Tasty pink donut. +* User-Interface: Light Mode and Dark Mode. +* General: Auto saves to config Switch IP Address, Light/Dark Mode Settings, and Language Selection. +* General Support for UI scaling up to 4K resolution. +* Tinfoil USB: Switch Firmware 5.x USB Fix (Thanks to satelliteseeker for finding this fix, choose 'Safe Mode') +* Cute fluffy penguin. # Screenshot - + -# Multi-Language Screenshot -![screenshot](https://github.com/fourminute/Fluffy/blob/master/misc/fluffyui2.png?raw=true) +# [Windows] Instructions For Use (Fluffy.exe) -# Instructions For Use - -## Install TinFoil on your Switch +## 1/3) Install TinFoil or Goldleaf on your Switch * These steps apply for all custom firmware. This includes but not limited to: Kosmos, ReINX, SXOS, etc. * Download Recommended TinFoil * Copy and paste "TinFoil.nro" to a folder named "Switch"(create it if necessary) on the root of your SD card. +* or Download Goldleaf by XorTroll. -## Windows instructions +### 2/3) Install and Setup Zadig Driver +* Download Zadig: https://zadig.akeo.ie or [github mirror](https://github.com/fourminute/Fluffy/blob/master/windows/zadig-2.4.exe) in case the website goes down. +* With your Switch plugged in to your PC using a USB-C cable, open TinFoil(on your Switch). This will ensure your Switch is visible. +* Open Zadig > Options > List All Devices. +* In the scroll box above the button "Install Driver", tap the arrow until arriving at "libusbK". +* Click "Install Driver" +* Done! + +### 3/3) Run Fluffy and Install NSP(s)! (Tinfoil) +* Connect your Switch and your PC with a USB Type-C cable. +* Run Fluffy.exe. +* On your Switch open Tinfoil > Title Management > USB Install NSP +* On Fluffy click "NSP Selection" > Select your NSP(s) +* On Fluffy's Tinfoil USB screen click "Begin Transfer". + +### 3/3) Run Fluffy and Install NSP(s)! (Goldleaf) +* Run Fluffy.exe. +* On your Switch open Goldleaf > Explore Content +* On Fluffy's Goldleaf screen click "Begin Transfer". +* On your Switch select "PC Drive (via USB)" +* Navigate to and install your NSP(s). -### 1/3) Install and Setup Zadig Driver +# [Windows] Instructions For Use (Fluffy.pyw) + +## 1/5) Install TinFoil or Goldleaf on your Switch +* These steps apply for all custom firmware. This includes but not limited to: Kosmos, ReINX, SXOS, etc. +* Download Recommended TinFoil +* Copy and paste "TinFoil.nro" to a folder named "Switch"(create it if necessary) on the root of your SD card. +* or Download Goldleaf by XorTroll. + +### 2/5) Install and Setup Zadig Driver * Download Zadig: https://zadig.akeo.ie or [github mirror](https://github.com/fourminute/Fluffy/blob/master/windows/zadig-2.4.exe) in case the website goes down. * With your Switch plugged in to your PC using a USB-C cable, open TinFoil(on your Switch). This will ensure your Switch is visible. * Open Zadig > Options > List All Devices. @@ -58,19 +91,29 @@ * Click "Install Driver" * Done! -### 2/3) Install Python +### 3/5) Install Python * Download and Install Python 3 from [Python Website](https://www.python.org/downloads/). Select the "PATH" option during install. Ensure no previous version of Python is installed and do not use the 64-bit version of Python 3. This may cause an error "PyUSB not found". Also be sure to include Tkinter with your installation(it should be a default option). -### 3/3) Install Python Dependencies +### 4/5) Install Python Dependencies * Open Command-line/CMD (Start, search "CMD") and run the following: ``` pip3 install pyusb pyqt5 libusb libusb1 qdarkstyle configparser ``` -### Additional Windows Instructions -Some users may receive the error "USB.Core No Backend Available". If you do, download this .DLL file [libusb.dll](https://github.com/fourminute/Fluffy/blob/master/windows/libusb-1.0.dll) and place it in the same directory as Fluffy.pyw. +### 5/5) Run Fluffy and Install NSP(s)! (Tinfoil) +* Connect your Switch and PC with a USB Type-C cable +* Run Fluffy.pyw +* On your Switch open Tinfoil > Title Management > USB Install NSP +* On Fluffy click "NSP Selection" > Select your NSP(s) +* On Fluffy's Tinfoil USB screen click "Begin Transfer" -If you still receive this error, you can try installing LibUSB: [libusb installer](https://github.com/fourminute/Fluffy/blob/master/windows/libusb-win32-devel-filter-1.2.6.0.exe). +### 5/5) Run Fluffy and Install NSP(s)! (Goldleaf) +* Connect your Switch and PC with a USB Type-C cable +* Run Fluffy.pyw +* On your Switch open Goldleaf > Explore Content +* On Fluffy's Goldleaf screen click "Begin Transfer" +* On your Switch select "PC Drive (via USB)" +* Navigate to and install your NSP(s) ## Linux instructions @@ -127,24 +170,16 @@ cd /path/to/files/ sudo ./install.sh ``` ## MacOS instructions -Special thanks to GuillaumeJulien for these instructions. ``` brew install tcl-tk brew reinstall python3 pip3 install pyusb pyqt5 libusb libusb1 qdarkstyle configparser python3 ./fluffy.pyw ``` +Special thanks to GuillaumeJulien for these instructions. + For more info on brew, head to https://brew.sh/ -## How-To-Use -Complete beginner? No problem. -* First follow the installation steps above. Done? Let's continue! -* On your Switch running Custom Firmware(for example, ReINX or Atmosphere) open TinFoil > Title Management > USB Install NSP. -* Start Fluffy.pyw. -* Click "NSP Selection" and select as many NSPs as you want to install. -* Connect your Switch to your computer. -* If "Switch Detected!" is visible. Click "Begin Transfer". -* On your Switch, follow the on-screen instructions. ## Troubleshooting Tips (Linux)Fluffy.pyw still shows up as an unknown file? @@ -158,26 +193,21 @@ python3 fluffy.pyw Answer: This can be caused by 1-2 things. -1) Not all USB type C cables will work with the Switch. If your Switch connects then frequently disconnects, then reconnects again, etc. Or if you receive this error, it's highly likely you will need a newer USB type C cable. Yes, there are differences despite being visually similar. +1) Download libusb-1.0.dll and place it in the same folder as Fluffy. If that doesn't work, install LibUSB using Zadig or libusb-win32-devel-filter Installer. -2) LibUSB wasn't found. Install it with "pip3 install libusb" and "pip3 install libusb1". Also follow the above steps labeled "Additional Windows Instructions". +2) Not all USB Type-C cables will work with the Switch. If your Switch connects then frequently disconnects, then reconnects again, etc. Or if you receive this error, it's highly likely you will need a newer USB Type-C cable. Yes, there are differences despite being visually similar. Why do I keep getting the error: "No module named 'PyQt5'"? -Python by default *wants* to run in 64-bit mode, however, when this happens Fluffy won't work. As you may already know, Fluffy does not, will not, and cannot run in 64-bit Python. To bypass this behavior you can alternative open Fluffy.pyw in IDLE(32-bit mode) and click Run > Run Module. - +Ensure "PATH" is selected when installing Python. If that still doesn't solve it, try running Fluffy using IDLE(32-bit mode). Why does network install hang/freeze? -Answer: This is normal. Network install can sometimes take a long time to work depending on your nework, how many devices are using your WiFi, your WiFi speed, etc. Give it some time and it will initiate the transfer. It may take several minutes. - -PyUSB Not Found and I've followed all the steps! - -Answer: **Fluffy only works with Python 3 32-bit version.** Also ensure that no previous versions of Python are installed. If necessary, uninstall them. For example, if you have Python 3.6.6 and Python 3.7.2 installed at the same time Fluffy may throw this error. +Answer: This is normal. Network install can sometimes hang and take a long time to work depending on your nework, how many devices are using your WiFi, your WiFi speed, etc. Give it some time and it will initiate the transfer. It may take several minutes. Fluffy may seem frozen, but in most instances a little patience is advisable. What kind of cable does the Switch use? -Answer: USB type C cable. Though, not all USB type C cables are the same. Some will not be compatible with the Switch. +Answer: USB Type-C cable. Though, not all USB Type-C cables are the same. Some will not be compatible with the Switch. Does Fluffy work on MacOS and Linux? @@ -189,7 +219,7 @@ Answer: All of them will work the same. That is up to you. Why does my install keep hanging and/or crashing? -Answer: Switch Transfer Mode to "Safe Mode". +Answer: Switch Transfer Mode to "Safe Mode". If you're installing via Tinfoil Network, it is normal for the install to sometimes hang. Why do I have unsufficient permission error (usb)(linux)? (credit: YoyPa) @@ -206,8 +236,9 @@ I would like to extend my thanks to the people below for helping make Fluffy wha * wendyliga for their Bahasa Indonesia translation. * TheLastZombie for their German translation. -* YoyPa for their many and various code contributions, creating and maintaining the Fluffy Arch Linux repository, as well as their Spanish and French translations. -* friedkeenan for their Goldleaf v0.5 compatibility fixes. +* YoyPa for their many and various code contributions, creating and maintaining the fluffy-switch AUR package, as well as their Spanish and French translations. +* LoOkYe for testing and debugging Fluffy in its various stages of development on MacOS. +* friedkeenan for their tremendous help on Goldleaf v0.6 compatibility. * TorpedoXL for their Turkish translation. * DavidOliM for their Brazilian Portuguese translation. * danypava for their Italian translation. @@ -215,4 +246,9 @@ I would like to extend my thanks to the people below for helping make Fluffy wha To anyone else that I missed, thank you. -Disclaimer: The "Pink Donut" design was designed by fourminute exclusively for Fluffy and infringes on no copyright. The font used in "intro.png" is also 100% royalty free. +"Cute Penguin" was designed by fourminute. The font +used in the "Fluffy" logo is 100% royalty free. + +Fluffy(this program) and the "Cute Penguin" +design is Copyright (c) 2019 fourminute +(https://github.com/fourminute) diff --git a/README_CH.md b/README_CH.md index 90d0849..26c90f1 100644 --- a/README_CH.md +++ b/README_CH.md @@ -1,5 +1,5 @@ # Fluffy 安装器 -![intro](https://github.com/fourminute/Fluffy/blob/master/misc/fluffy-intro.png?raw=true) +![intro](https://github.com/fourminute/Fluffy/blob/master/misc/may_intro_v4.png?raw=true) ### 下载最新版 Fluffy 安装器 ### 下载推荐版本的 TinFoil.nro @@ -10,18 +10,16 @@ * 支持USB和网络安装,同时显示传输速率(MB/s)和百分比进程。 * USB和网络安装时,实时显示当前安装的NSP游戏文件。 * 支持Goldleaf(金叶安装器):显示当前安装的NSP游戏文件。 -* 支持Goldleaf(金叶安装器):显示当前NCA游戏队列。 * 拥有两种传输模式“正常”和“安全” -* 智能生成用户界面,根据安装的模块不同而切换 Tkinter 或者 PyQt(仅支持v1.4.1以上) * 支持高清显示 4K, 1080P, 和 720P 分辨率。 * 显示当前已经安装的NSP游戏文件。 -* 单据NSP游戏文件选择。 (感谢: Shadowhand, thanks!). +* 单据NSP游戏文件选择。 * 尝尝甜甜圈(图标)。 * 显示Switch连接状态。 -* 5.x USB 修复 (感谢: satelliteseeker) +* 5.x USB 修复 # 屏幕截图 -![screenshot](https://github.com/fourminute/Fluffy/blob/master/misc/screenshotv250b.png?raw=true) + # 使用说明 diff --git a/fluffy.pyw b/fluffy.pyw index 0f62700..45296b9 100755 --- a/fluffy.pyw +++ b/fluffy.pyw @@ -1,10 +1,12 @@ #! /usr/bin/env python3 # -*- coding: utf-8 -*- """"" -"Pink Donut" design was designed by fourminute exclusively for -Fluffy and does not infringe on any copyright. +"Cute Penguin" was designed by fourminute. The font +used in the "Fluffy" logo is 100% royalty free. -Copyright (c) 2019 fourminute (https://github.com/fourminute) +Fluffy(this program) and the "Cute Penguin" +design is Copyright (c) 2019 fourminute +(https://github.com/fourminute) Fluffy is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by @@ -31,17 +33,29 @@ import struct import random import re import configparser - +try: + if "win" in sys.platform[:3].lower(): + initial_dir = os.getcwd() + "/" + elif "linux" in sys.platform.lower(): + if not os.path.exists(os.path.expanduser('~') + "/.fluffy"): + os.makedirs(os.path.expanduser('~') + "/.fluffy") + initial_dir = os.path.expanduser('~') + "/.fluffy/" + else: # MacOS. A little help here would be great. + initial_dir = os.getcwd() + "/" +except: + initial_dir = os.getcwd() + "/" + pass try: import logging - if os.path.isfile('fluffy.log'): - os.remove('fluffy.log') - LOG_FILENAME = 'fluffy.log' + if os.path.isfile(initial_dir + 'fluffy.log'): + os.remove(initial_dir + 'fluffy.log') + LOG_FILENAME = initial_dir + 'fluffy.log' logging.basicConfig(filename=LOG_FILENAME, level=logging.DEBUG) logging.debug("Fluffy Log: If you see nothing here. Good!") is_logging = True except: is_logging = False + print('Error: Logging not possible. Possible permission issue.') pass try: from tkinter import filedialog @@ -51,9 +65,10 @@ try: except Exception as e: if is_logging: logging.error(e, exc_info=True) - else: - print(str(e)) - exit() + logging.debug("Error: Failed to import Tkinter.") + print('Error: Failed to import Tkinter.') + print(str(e)) + sys.exit() try: from SimpleHTTPServer import SimpleHTTPRequestHandler from SocketServer import TCPServer @@ -72,40 +87,41 @@ try: except Exception as e: if is_logging: logging.error(e, exc_info=True) - else: - print(str(e)) - exit() + logging.debug("Error: Failed to import PyQt5.") + print('Error: Failed to import PyQt5.') + print(str(e)) + sys.exit() try: import usb.core import usb.util - usb_success = True except: + logging.debug("Error: Failed to import modules required for USB install. Defaulting to Network Mode.") + print('Error: Failed to import modules required for USB install. Defaulting to Network Mode.') usb_success = False pass # Variables -VERSION = "2.8.0" +VERSION = "2.9.0" +MONERO_ADDRESS = "4APPsi7nnAs4ZjGC58V5CjVnceEvnZbY1WCBSjmcQsKhGPWLL2EaoUDU2RVFnuLEnASRA2ECXD4YvQ8hyVyZg1raJ482yei" +thanks = ["YoyPa","Sev73n","LoOkYe","wendyliga","TheZoc","TheLastZombie","friedkeenan","danypava", "DavidOliM","TorpedoXL","gut5"] GREEN = "QLabel {color: #09A603;}" BLUE = "QLabel {color: #00A2FF;}" RED = "QLabel {color: #cc2249;}" PURPLE = "QLabel {color: #7F0CE8;}" -CMD_ID_EXIT = 0 -CMD_ID_FILE_RANGE = 1 -CMD_TYPE_RESPONSE = 1 +goldpixmap = QPixmap() iconpixmap = QPixmap() inlaypixmap = QPixmap() dinlaypixmap = QPixmap() +aboutpixmap = QPixmap() transfer_rate = 0 is_installing = False last_error = "NA" is_done = False is_network = False -is_goldleaf = False -is_exiting = False +is_goldleaf = False selected_dir = None selected_files = None sent_header = False -cur_nca_name = "NA" start_time = time.time() cur_transfer_rate = 0 last_transfer_rate = 0 @@ -114,35 +130,56 @@ end_progress = 0 cur_nsp_count = 1 total_nsp = 0 cur_nsp_name = "NA" -max_nca_count = 0 -cur_nca_count = 1 -initial_dir = os.getcwd() switch_ip = "0.0.0.0" host_ip = "0.0.0.0" language = 0 +qresponse = False +needresponse = False +qrespnum = 0 +haveresponse = False +allow_access_non_nsp = 0 +ignore_warning_prompt = 0 +global_dev = None +global_in = None +global_out = None +task_canceled = False +usb_success = False # Load Settings -if os.path.isfile(initial_dir + '/fluffy.conf'): +if os.path.isfile(initial_dir + 'fluffy.conf'): try: - with open(initial_dir + '/fluffy.conf') as cfgfile: + with open(initial_dir + 'fluffy.conf') as cfgfile: configp = configparser.ConfigParser() configp.read_file(cfgfile) switch_ip = configp.get('DEFAULT', 'switch_ip') dark_mode = int(configp.get('DEFAULT', 'dark_mode')) language = int(configp.get('DEFAULT', 'language')) + allow_access_non_nsp = int(configp.get('DEFAULT', 'allow_access_non_nsp')) + ignore_warning_prompt = int(configp.get('DEFAULT', 'ignore_warning_prompt')) + print("Successfully loaded config: \'" + str(initial_dir) + "fluffy.conf\'") except: + print("Config not found: \'" + str(initial_dir) + "fluffy.conf\'") switch_ip = "0.0.0.0" dark_mode = 0 language = 0 + allow_access_non_nsp = 0 + ignore_warning_prompt = 0 pass else: + print("Config not found: \'" + str(initial_dir) + "fluffy.conf\'") switch_ip = "0.0.0.0" dark_mode = 0 language = 0 -net_port = 2000 #Unused, saved for future reference (Ie. Goldleaf Network) -ICON_DATA = 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' + allow_access_non_nsp = 0 + ignore_warning_prompt = 0 + + + +ABOUT_DATA = 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' +DONUT_DATA = DARK_DONUT_DATA class TransferRates: Safe = 0x1F4 Normal = 0x100000 @@ -206,6 +243,9 @@ class Language: 27: "Installing", 28: "Transfer Rate", 29: "Current NCA", + 30: "About", + 31: "Special Thanks", + 32: "Donate", } ChineseDict = {0: "Fluffy 卷卷安装器", @@ -238,6 +278,9 @@ class Language: 27: "NSP游戏文件 安装中", 28: "传输速率", 29: "当前的NCA游戏文件包", + 30: "学分", + 31: "谢谢", + 32: "捐赠给我", } VietDict = { 0: "Fluffy", @@ -270,6 +313,9 @@ class Language: 27: "Đang Tải", 28: "Tốc Độ", 29: "Đang Chuyển NCA", + 30: "Thông Tin", + 31: "Cảm ơn bạn", + 32: "Tặng Tôi", } BrazilianDict = {0: "Fluffy", @@ -302,6 +348,9 @@ class Language: 27: "Instalando", 28: "Velocidade de transferência", 29: "NCA atual", + 30: "Informação", + 31: "Obrigado", + 32: "Doe Para Mim", } ItalianDict = {0: "Fluffy", @@ -334,6 +383,9 @@ class Language: 27: "Installazione in Corso", 28: "Velocità di Trasferimento", 29: "NCA Corrente", + 30: "Informazione", + 31: "Grazie", + 32: "Dona A Me", } @@ -367,6 +419,9 @@ class Language: 27: "Yükleniyor", 28: "Aktarma Hızı", 29: "Şu anki NCA", + 30: "Bilgi", + 31: "Teşekkür Ederim", + 32: "Bağış", } FrenchDict = {0: "Fluffy", @@ -399,6 +454,9 @@ class Language: 27: "En Cours d'Installation", 28: "Débit", 29: "NCA Actuel", + 30: "Crédits", + 31: "Je Vous Remercie", + 32: "Faites Un Don À Moi", } SpanishDict = {0: "Fluffy", @@ -431,6 +489,9 @@ class Language: 27: "Instalando", 28: "Velocidad", 29: "NCA Actual", + 30: "Creditos", + 31: "Muchas Gracias", + 32: "Dona A Mi", } GermanDict = {0: "Fluffy", @@ -462,7 +523,10 @@ class Language: 26: "NSP(s) in Warteschlange", 27: "Installiere", 28: "Transferrate", - 29: "Momentane NCA", + 29: "Aktuelle NCA", + 30: "Über", + 31: "Besonderer Dank", + 32: "Spenden", } IndonesiaDict = {0: "Fluffy", @@ -495,6 +559,9 @@ class Language: 27: "Menerapkan", 28: "Kecepatan Transfer", 29: "NCA Saat Ini", + 30: "Tentang", + 31: "Terima Kasih", + 32: "Donasi Untukku", } @@ -504,29 +571,47 @@ set_language(language) # Setters def set_dark_mode(v): global dark_mode - if v == 0: + if v == 1: import qdarkstyle app.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5()) - dark_mode = 0 + dark_mode = 1 l_github.setStyleSheet("QLabel { color: rgba(255, 255, 255, 50%) }") pixmap = QPixmap(dinlaypixmap) + gold_res = QPixmap(goldpixmap) + about_res = QPixmap(aboutpixmap) screen = app.primaryScreen() if screen.size().width() <= 2560: if screen.size().width() <= 1920: if screen.size().width() <= 1366: lowresfix = pixmap.scaled(230, 200, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix2 = gold_res.scaled(230, 200, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix3 = about_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) img_label.setPixmap(lowresfix) + gold_img_label.setPixmap(lowresfix2) + about_img_label.setPixmap(lowresfix3) else: lowresfix = pixmap.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix2 = gold_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix3 = about_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) img_label.setPixmap(lowresfix) + gold_img_label.setPixmap(lowresfix2) + about_img_label.setPixmap(lowresfix3) else: lowresfix = pixmap.scaled(350, 240, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix2 = gold_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix3 = about_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) img_label.setPixmap(lowresfix) + gold_img_label.setPixmap(lowresfix2) + about_img_label.setPixmap(lowresfix3) else: img_label.setPixmap(pixmap) + gold_img_label.setPixmap(gold_res) + about_img_label.setPixmap(about_res) else: - dark_mode = 1 + dark_mode = 0 pixmap = QPixmap(inlaypixmap) + gold_res = QPixmap(goldpixmap) + about_res = QPixmap(aboutpixmap) screen = app.primaryScreen() app.setStyleSheet("") l_github.setStyleSheet("QLabel { color: rgba(0, 0, 0, 50%) }") @@ -534,15 +619,30 @@ def set_dark_mode(v): if screen.size().width() <= 1920: if screen.size().width() <= 1366: lowresfix = pixmap.scaled(230, 200, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix2 = gold_res.scaled(230, 200, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix3 = about_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) img_label.setPixmap(lowresfix) + gold_img_label.setPixmap(lowresfix2) + about_img_label.setPixmap(lowresfix3) else: lowresfix = pixmap.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix2 = gold_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix3 = about_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) img_label.setPixmap(lowresfix) + gold_img_label.setPixmap(lowresfix2) + about_img_label.setPixmap(lowresfix3) else: lowresfix = pixmap.scaled(350, 240, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix2 = gold_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) + lowresfix3 = about_res.scaled(270, 270, Qt.KeepAspectRatio, Qt.SmoothTransformation) img_label.setPixmap(lowresfix) + gold_img_label.setPixmap(lowresfix2) + about_img_label.setPixmap(lowresfix3) else: img_label.setPixmap(pixmap) + gold_img_label.setPixmap(gold_res) + about_img_label.setPixmap(about_res) + def turn_off_logging(): global is_logging @@ -555,6 +655,10 @@ def set_nca_name(v): def set_start_time(): global start_time start_time = time.time() + +def set_canceled(x): + global task_canceled + task_canceled = x def set_cur_transfer_rate(v): global cur_transfer_rate @@ -568,24 +672,76 @@ def set_last_transfer_rate(v): global last_transfer_rate last_transfer_rate = v -def close_program(): - global is_exiting +def detach_switch(): + global global_dev + global global_out + global global_in + try: + usb.util.dispose_resources(global_dev) + global_dev.reset() + except: + pass + global_in = None + global_out = None + global_dev = None + +def connect_switch(): + global global_dev + global global_out + global global_in + global_dev = usb.core.find(idVendor=0x057E, idProduct=0x3000) + if global_dev is not None: + try: + global_dev.set_configuration() + intf = global_dev.get_active_configuration()[(0,0)] + global_out = usb.util.find_descriptor(intf,custom_match=lambda e:usb.util.endpoint_direction(e.bEndpointAddress)==usb.util.ENDPOINT_OUT) + global_in = usb.util.find_descriptor(intf,custom_match=lambda e:usb.util.endpoint_direction(e.bEndpointAddress)==usb.util.ENDPOINT_IN) + return True + except: + return False + pass + else: + return False + +def save_config(): try: configp = configparser.ConfigParser() configp['DEFAULT'] = {'switch_ip': switch_ip, 'language': language, - 'dark_mode': dark_mode} - with open(initial_dir + '/fluffy.conf', 'w') as cfgfile: + 'dark_mode': dark_mode, + 'allow_access_non_nsp': allow_access_non_nsp, + 'ignore_warning_prompt': ignore_warning_prompt} + with open(initial_dir + 'fluffy.conf', 'w') as cfgfile: configp.write(cfgfile) except: pass - is_exiting = True - sys.exit() def set_transfer_rate(v): global transfer_rate transfer_rate = TransferRateDict[v] +def get_response_qmessage(e): + global needresponse + global qrespnum + needresponse = True + qrespnum = e + +def set_response_qmessage(x): + global qresponse + global haveresponse + haveresponse = True + qresponse = x + + +def reset_response(): + global needresponse + global qresponse + global haveresponse + needresponse = False + qresponse = False + haveresponse = False + + def set_dir(d): global selected_dir selected_dir = d @@ -611,6 +767,10 @@ def set_cur_nsp(nsp): cur_nsp_name = nsp set_start_time() last_progress = 0 + +def cancel_task(): + set_canceled(True) + reset_install() def set_total_nsp(n): global total_nsp @@ -620,7 +780,10 @@ def complete_install(): global is_done is_done = True - +def complete_goldleaf_transfer(): + global is_installing + is_installing = False + def reset_install(): global is_installing global sent_header @@ -628,10 +791,8 @@ def reset_install(): global cur_progress global end_progress global cur_nsp_name - global cur_nca_name global cur_transfer_rate global last_transfer_rate - global max_nca_count global selected_files global selected_dir global total_nsp @@ -652,15 +813,14 @@ def reset_install(): l_switch.setText("") l_switch.setStyleSheet("") l_status.setStyleSheet("") + if is_goldleaf: + l_status.setText('') progressbar.setValue(0) cur_nsp_count = 1 total_nsp = 0 selected_files = None selected_dir = None - cur_nca_count = 0 - max_nca_count = 0 cur_nsp_name = "NA" - cur_nca_name = "NA" cur_transfer_rate = 0 last_transfer_rate = 0 is_done = False @@ -668,12 +828,12 @@ def reset_install(): sent_header = False cur_progress = 0 end_progress = 100 - init_language() + UI.init_language() window.menuBar().setEnabled(True) if is_network: - net_radio_cmd() + UI.net_radio_cmd() else: - usb_radio_cmd() + UI.usb_radio_cmd() def throw_error(_type): global last_error @@ -703,260 +863,405 @@ def set_ip(v, n): switch_ip = v else: host_ip = v - -def set_port(v): - global net_port - net_port = int(v) -def set_nca_count(c, m): - global cur_nca_count - global max_nca_count - cur_nca_count = c - max_nca_count = m - def set_goldleaf(v): global is_goldleaf is_goldleaf = v - +def set_usb_success(v): + global usb_success + usb_success = v + +# Goldleaf +class GoldleafCommandId: + ListSystemDrives = 0 + GetEnvironmentPaths = 1 + GetPathType = 2 + ListDirectories = 3 + ListFiles = 4 + GetFileSize = 5 + FileRead = 6 + FileWrite = 7 + CreateFile = 8 + CreateDirectory = 9 + DeleteFile = 10 + DeleteDirectory = 11 + RenameFile = 12 + RenameDirectory = 13 + GetDriveTotalSpace = 14 + GetDriveFreeSpace = 15 + GetNSPContents = 16 + Max = 17 +class GoldleafCommandReadResult: + Success = 0 + InvalidMagic = 1 + InvalidGoldleafCommandId = 2 +class Goldleaf: + GLUC = b"GLUC" + magic = b"GLUC" + cmd_id = 0 + drives = {} + FW_DENIED = 0 + FW_ACCEPTED = 1 + FW_NOSTATUS = 2 + fw_status = FW_NOSTATUS + + def init(self): + try: + detach_switch() + connect_switch() + self.goldleaf_usb() + except Exception as e: + if is_logging: + logging.error(e, exc_info=True) + throw_error(0) + sys.exit() + + def write(self,buffer): + try: + global_out.write(buffer,timeout=3000) + except: + pass -# PFS0 & Goldleaf by fourminute. -# Goldleaf v0.5 compatibility fix by Friedkeenan. -class PFS0: - @staticmethod - def reset(): - PFS0.magic = None - PFS0.total_files = None - PFS0.string_table = None - PFS0.header_remainder = None - PFS0.body_length = None - PFS0.file_array = [] + def read(self,length): + return global_in.read(length,timeout=0).tobytes() + + def write_u32(self,x): try: - PFS0.f.close() + global_out.write(struct.pack("= 1: - set_cur_transfer_rate(int(PFS0.f.tell()) - last_transfer_rate) - set_last_transfer_rate(int(PFS0.f.tell())) - set_start_time() - - @staticmethod - def read_nca(index): - PFS0.f.seek(PFS0.body_length+PFS0.file_array[index][0]) - return PFS0.f.read(PFS0.file_array[index][1]) + def write_u64(self,x): + try: + global_out.write(struct.pack(">= 1 + else: + self.drives["ROOT"] = "/" + self.write_u32(len(self.drives)) + for d in self.drives: try: - Goldleaf.write(PFS0.read_nca(Goldleaf.ticket_index)) - break + self.write_string(drive_labels[d]) + except KeyError: + self.write_string(d) + self.write_string(d) + elif self.is_id(GoldleafCommandId.GetEnvironmentPaths): + env_paths = {x:os.path.expanduser("~/"+x) for x in ["Desktop", "Documents"]} + for arg in sys.argv[1:]: + folder = os.path.abspath(arg) + if os.path.isfile(folder): + folder = os.path.dirname(folder) + env_paths[os.path.basename(folder)] = folder + env_paths = {x:env_paths[x] for x in env_paths if os.path.exists(env_paths[x])} + self.write_u32(len(env_paths)) + for env in env_paths: + env_paths[env] = env_paths[env].replace("\\", "/") + self.write_string(env) + if env_paths[env][1:3] != ":/": + env_paths[env] = "ROOT:" + env_paths[env] + self.write_string(env_paths[env]) + elif self.is_id(GoldleafCommandId.GetPathType): + ptype = 0 + path = self.read_path() + if os.path.isfile(path): + ptype = 1 + elif os.path.isdir(path): + ptype = 2 + self.write_u32(ptype) + elif self.is_id(GoldleafCommandId.ListDirectories): + path = self.read_path() + ents = [x for x in os.listdir(path) if os.path.isdir(os.path.join(path, x))] + n_ents = [] + for e in ents: + try: + test = os.listdir(os.path.join(path, e)) + n_ents.append(e) except: pass - - - elif Goldleaf.is_id(CommandId.Finish) and Goldleaf.magic_ok(): - set_progress(100,100) - complete_install() - sys.exit() - except: - pass - return 0 - -def init_goldleaf_usb_install(): - Goldleaf.reset() - PFS0.reset() - for file in selected_files: - try: - set_cur_nsp(os.path.basename(file)) - Goldleaf.nsp_path = str(file) - Goldleaf.connect_usb() - Goldleaf.Goldleaf_USB() - except Exception as e: - if is_logging: - logging.error(e, exc_info=True) - throw_error(0) - try: - usb.util.dispose_resources(dev) - dev.reset() - except: - pass - sys.exit() - usb.util.dispose_resources(dev) - dev.reset() + self.write_u32(len(n_ents)) + for name in n_ents: + self.write_string(name) + elif self.is_id(GoldleafCommandId.ListFiles): + self.fw_status = self.FW_NOSTATUS + if is_installing: + complete_goldleaf_transfer() + path = self.read_path() + ents = [x for x in os.listdir(path) if os.path.isfile(os.path.join(path, x))] + if not allow_access_non_nsp: + len_nsps = 0 + for f in ents: + if f.lower().endswith('.nsp'): + len_nsps = len_nsps+1 + self.write_u32(len_nsps) + for name in ents: + if name.lower().endswith('.nsp'): + self.write_string(name) + else: + self.write_u32(len(ents)) + for name in ents: + self.write_string(name) + elif self.is_id(GoldleafCommandId.GetFileSize): + path = self.read_path() + self.write_u64(os.path.getsize(path)) + elif self.is_id(GoldleafCommandId.FileRead): + can_read = True + offset = self.read_u64() + size = self.read_u64() + path = self.read_path() + if not os.path.basename(path).lower().endswith('.nsp'): + if allow_access_non_nsp: + can_read = True + else: + can_read = False + if can_read: + with open(path, "rb") as f: + f.seek(offset) + data = f.read(size) + self.write_u64(len(data)) + self.write(data) + try: + if self.fw_status != self.FW_DENIED: + complete_loading() + set_cur_nsp(str(os.path.basename(path))) + set_progress(int(offset), int(os.path.getsize(path))) + elapsed_time = time.time() - start_time + if elapsed_time >= 1: + set_cur_transfer_rate(int(offset) - last_transfer_rate) + set_last_transfer_rate(int(offset)) + set_start_time() + else: + complete_goldleaf_transfer() + except: + pass + else: + logging.debug("Error: Access denied. \nReason: Goldleaf tried to access a non .NSP file(to bypass this default restriction, change \'allow_access_non_nsp\' to 1 in fluffy.conf).") + print("Error: Access denied. \nReason: Goldleaf tried to access a non .NSP file(to bypass this default restriction, change \'allow_access_non_nsp\' to 1 in fluffy.conf).") + cancel_task() + sys.exit() + elif self.is_id(GoldleafCommandId.FileWrite): + offset = self.read_u64() + size = self.read_u64() + path = self.read_path() + data = self.read(size) + can_write = False + if self.fw_status == self.FW_NOSTATUS: + get_response_qmessage(1) + while not haveresponse and global_dev is not None: + time.sleep(1) + if qresponse: + self.fw_status = self.FW_ACCEPTED + can_write = True + else: + self.fw_status = self.FW_DENIED + elif self.fw_status == self.FW_ACCEPTED: + can_write = True + if can_write: + cont = bytearray() + try: + with open(path, "rb") as f: + cont=bytearray(f.read()) + except FileNotFoundError: + pass + cont[offset:offset + size] = data + with open(path, "wb") as f: + f.write(cont) + reset_response() + elif self.is_id(GoldleafCommandId.CreateFile): + path = self.read_path() + get_response_qmessage(2) + while not haveresponse and global_dev is not None: + time.sleep(1) + if qresponse: + open(path, "a").close() + reset_response() + elif self.is_id(GoldleafCommandId.CreateDirectory): + path = self.read_path() + get_response_qmessage(3) + while not haveresponse and global_dev is not None: + time.sleep(1) + if qresponse: + try: + os.mkdir(path) + except os.FileExistsError: + pass + reset_response() + elif self.is_id(GoldleafCommandId.DeleteFile): + path = self.read_path() + get_response_qmessage(4) + while not haveresponse and global_dev is not None: + time.sleep(1) + if qresponse: + os.remove(path) + reset_response() + elif self.is_id(GoldleafCommandId.DeleteDirectory): + path = self.read_path() + get_response_qmessage(5) + while not haveresponse and global_dev is not None: + time.sleep(1) + if qresponse: + shutil.rmtree(path) + reset_response() + elif self.is_id(GoldleafCommandId.RenameFile): + path = self.read_path() + new_name = self.read_string() + get_response_qmessage(6) + while not haveresponse and global_dev is not None: + time.sleep(1) + if qresponse: + os.rename(path, f"{os.path.dirname(path)}/{new_name}") + reset_response() + elif self.is_id(GoldleafCommandId.RenameDirectory): + path = self.read_path() + new_name = self.read_path() + get_response_qmessage(6) + while not haveresponse and global_dev is not None: + time.sleep(1) + if qresponse: + os.rename(path, new_name) + reset_response() + elif self.is_id(GoldleafCommandId.GetDriveTotalSpace): + path = self.read_path() + disk = os.statvfs(path) + totalBytes = float(disk.f_bsize*disk.f_blocks) + self.write_u64(int(totalspace)) + elif self.is_id(GoldleafCommandId.GetDriveFreeSpace): + path = self.read_path() + disk = os.statvfs(path) + totalFreeSpace = float(disk.f_bsize*disk.f_bfree) + self.write_u64(int(totalFreeSpace)) sys.exit() # Tinfoil Network netrlist = [] - def reset_netrlist(): global netrlist netrlist = None netrlist = [] - def append_netrlist(v, v2): global netrlist netrlist.append((v, v2)) - -class RangeHTTPRequestHandler(SimpleHTTPRequestHandler): +class TinfoilNetwork: + def init(self): + reset_netrlist() + accepted_extension = ('.nsp') + hostPort = random.randint(26490,26999) + target_ip = switch_ip + hostIp = host_ip + target_path = str(selected_dir).strip() + baseUrl = hostIp + ':' + str(hostPort) + '/' + directory = target_path + file_list_payload = '' + for file in [file for file in next(os.walk(target_path))[2] if file.endswith(accepted_extension)]: + for y in selected_files: + if str(file).find(os.path.basename(y)) != -1: + n = random.randint(1,10000000) + fake_file = str(n) + ".nsp" + append_netrlist(fake_file, str(y)) + file_list_payload += baseUrl + fake_file + '\n' + file_list_payloadBytes = file_list_payload.encode('ascii') + if directory and directory != '.': + os.chdir(directory) + server = TinfoilServer((host_ip, hostPort), TinfoilHTTPHandler) + thread = threading.Thread(target=server.serve_forever) + thread.daemon = True + thread.start() + try: + sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + sock.connect((target_ip, 2000)) + sock.sendall(struct.pack('!L', len(file_list_payloadBytes)) + file_list_payloadBytes) + while len(sock.recv(1)) < 1: + if task_canceled: + server.force_stop() + sys.exit() + time.sleep(0.1) + sock.close() + except Exception as e: + if is_logging: + logging.error(e, exc_info=True) + server.force_stop() + throw_error(1) + sys.exit() + complete_install() + server.force_stop() + sys.exit() +class TinfoilHTTPHandler(SimpleHTTPRequestHandler): def send_head(self): for s in range(len(netrlist)): if netrlist[s][0] == str(self.path)[1:]: @@ -1004,12 +1309,10 @@ class RangeHTTPRequestHandler(SimpleHTTPRequestHandler): self.send_response(200) self.send_header('Content-type', ctype) self.send_header('Accept-Ranges', 'bytes') - self.send_header('Content-Range', - 'bytes %s-%s/%s' % (start, end, size)) + self.send_header('Content-Range','bytes %s-%s/%s' % (start, end, size)) self.send_header('Content-Length', str(cont_length)) self.send_header('Last-Modified', self.date_time_string(fs.st_mtime)) self.end_headers() - return f def copyfile(self, infile, outfile): @@ -1022,9 +1325,7 @@ class RangeHTTPRequestHandler(SimpleHTTPRequestHandler): infile.seek(start) bufsize = 64 * 1024 # 64KB while True: - if is_exiting: - pid = os.getpid() - os.kill(pid, signal.SIGTERM) + if task_canceled: sys.exit() buf = infile.read(bufsize) if not buf: break @@ -1040,9 +1341,8 @@ class RangeHTTPRequestHandler(SimpleHTTPRequestHandler): except: pass except BrokenPipeError: - pass - -class MyServer(TCPServer): + pass +class TinfoilServer(TCPServer): stopped = False def server_bind(self): import socket @@ -1050,81 +1350,51 @@ class MyServer(TCPServer): self.socket.bind(self.server_address) def serve_forever(self): while not self.stopped: - if is_exiting: - pid = os.getpid() - os.kill(pid, signal.SIGTERM) - self.handle_request() + if task_canceled: sys.exit() + self.handle_request() + sys.exit() def force_stop(self): self.server_close() self.stopped = True sys.exit() -def init_tinfoil_net_install(): - reset_netrlist() - accepted_extension = ('.nsp') - hostPort = random.randint(26490,26999) - target_ip = switch_ip - hostIp = host_ip - target_path = str(selected_dir).strip() - baseUrl = hostIp + ':' + str(hostPort) + '/' - directory = target_path - file_list_payload = '' - for file in [file for file in next(os.walk(target_path))[2] if file.endswith(accepted_extension)]: - for y in selected_files: - if str(file).find(os.path.basename(y)) != -1: - n = random.randint(1,10000000) - fake_file = str(n) + ".nsp" - append_netrlist(fake_file, str(y)) - file_list_payload += baseUrl + fake_file + '\n' - file_list_payloadBytes = file_list_payload.encode('ascii') - if directory and directory != '.': - os.chdir(directory) - server = MyServer((host_ip, hostPort), RangeHTTPRequestHandler) - thread = threading.Thread(target=server.serve_forever) - thread.start() - try: - sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) - sock.connect((target_ip, 2000)) - sock.sendall(struct.pack('!L', len(file_list_payloadBytes)) + file_list_payloadBytes) - while len(sock.recv(1)) < 1: - if is_exiting: - pid = os.getpid() - os.kill(pid, signal.SIGTERM) - sock.close() - except Exception as e: - if is_logging: - logging.error(e, exc_info=True) - server.force_stop() - throw_error(1) - sys.exit(1) - complete_install() - server.force_stop() - try: - server.shutdown() - except: - pass - sys.exit() # Tinfoil USB class Tinfoil: - @staticmethod - def send_response_header(out_ep, cmd_id, data_size): - out_ep.write(b'TUC0') - out_ep.write(struct.pack('= end_off: read_size = end_off - curr_off try: @@ -1142,7 +1410,7 @@ class Tinfoil: except: pass buf = f.read(read_size) - out_ep.write(data=buf, timeout=0) + global_out.write(data=buf, timeout=0) curr_off += read_size try: set_progress(int(curr_off), int(end_off)) @@ -1153,76 +1421,45 @@ class Tinfoil: set_start_time() except: pass - @staticmethod - def poll_commands(nsp_dir, in_ep, out_ep): + + def poll_commands(self): while True: - if is_exiting: - pid = os.getpid() - os.kill(pid, signal.SIGTERM) - cmd_header = bytes(in_ep.read(0x20, timeout=0)) + if task_canceled: sys.exit() + cmd_header = bytes(global_in.read(0x20, timeout=0)) magic = cmd_header[:4] if magic != b'TUC0': continue cmd_type = struct.unpack(' 13: - l_nsp.setText(Language.CurrentDict[7] + ": \"" + cur_nsp_name[:13] + "...\"") + if len(cur_nsp_name) > 13: + if is_goldleaf: + l_status.setText("\"" + cur_nsp_name[:13] + "...\"") else: - l_nsp.setText(Language.CurrentDict[7] + ": \"" + cur_nsp_name + "\"") + l_nsp.setText(Language.CurrentDict[7] + ": \"" + cur_nsp_name[:13] + "...\"") else: - if len(cur_nca_name) > 13: - l_nsp.setText(Language.CurrentDict[29] + ": \"..." + cur_nca_name[-13:] + "\"") + if is_goldleaf: + l_status.setText("\"" + cur_nsp_name + "\"") else: - l_nsp.setText(Language.CurrentDict[29] + ": \"" + cur_nca_name + "\"") - + l_nsp.setText(Language.CurrentDict[7] + ": \"" + cur_nsp_name + "\"") + @staticmethod def set_switch_text(): - dev = usb.core.find(idVendor=0x057E, idProduct=0x3000) - if dev is None: - l_switch.setText(Language.CurrentDict[10]+"!") - btn_header.setEnabled(False) - l_switch.setStyleSheet(RED) - else: - l_switch.setText(Language.CurrentDict[11]+"!") - l_switch.setStyleSheet(GREEN) - if list_nsp.count() > 0: - btn_header.setEnabled(True) + try: + if connect_switch(): + set_usb_success(True) + l_switch.setText(Language.CurrentDict[11]+"!") + l_switch.setStyleSheet(GREEN) + if not is_goldleaf: + if list_nsp.count() > 0: + btn_header.setEnabled(True) + else: + btn_header.setEnabled(False) + else: + btn_header.setEnabled(True) else: + l_switch.setText(Language.CurrentDict[10]+"!") btn_header.setEnabled(False) - + l_switch.setStyleSheet(RED) + try: + detach_switch() + except: + pass + except Exception as e: + if is_logging: + logging.error(e, exc_info=True) + set_usb_success(False) + UI.check_usb_success() + pass + + @staticmethod + def init_language(): + l_nsp.setText("") + if not is_goldleaf: + if list_nsp.count() > 0: + l_status.setText(str(total_nsp) + " " + Language.CurrentDict[14]) + else: + l_status.setText(Language.CurrentDict[9]) + l_switch.setText(Language.CurrentDict[10]+"!") + l_ip.setText(Language.CurrentDict[2]+":") + dark_check.setText(Language.CurrentDict[20]) + net_radio.setText(Language.CurrentDict[24]) + btn_nsp.setText(Language.CurrentDict[13]) + btn_header.setText(Language.CurrentDict[1]) + l_rate.setText(Language.CurrentDict[4]) + combo.clear() + combo.SelectedIndex = 0 + combo.addItem(Language.CurrentDict[5]) + combo.addItem(Language.CurrentDict[6]) + l_host.setText(Language.CurrentDict[3]+":") + lang_menu.setTitle(Language.CurrentDict[22]) + window.setWindowTitle(Language.CurrentDict[0]) + about.setWindowTitle(Language.CurrentDict[30]) + l_thanks.setText(Language.CurrentDict[31]) + l_donate.setText(Language.CurrentDict[32]) + about_menu.setText(Language.CurrentDict[30]) + + + @staticmethod + def lang_menu_cmd(): + new_lang = None + ai = 0 + for action in lang_menu.actions(): + if action.isChecked(): + if ai != language: + set_language(ai) + UI.init_language() + ai+=1 + + @staticmethod + def about_menu_cmd(): + try: + random.shuffle(thanks) + credit_list.clear() + for a in thanks: + credit_list.addItem(a) + about.show() + about.setFixedSize(about.size().width(),about.size().height()) + except Exception as e: + print(str(e)) + + @staticmethod + def check_usb_success(): + try: + connect_switch() + set_usb_success(True) + except Exception as e: + if is_logging: + logging.error(e, exc_info=True) + set_usb_success(False) + pass + if not usb_success: + UI.net_radio_cmd() + net_radio.setChecked(True) + usb_radio.setVisible(False) + l_rate.setVisible(False) + combo.setVisible(False) + gold_radio.setVisible(False) + l_switch.setText(Language.CurrentDict[12]) + l_switch.setStyleSheet(BLUE) +# Main +try: + # Load Images + aboutpixmap.loadFromData(base64.b64decode(ABOUT_DATA)) + goldpixmap.loadFromData(base64.b64decode(GOLD_DATA)) + iconpixmap.loadFromData(base64.b64decode(ICON_DATA)) + inlaypixmap.loadFromData(base64.b64decode(DONUT_DATA)) + dinlaypixmap.loadFromData(base64.b64decode(DARK_DONUT_DATA)) + #Init Widgets l_host = QtWidgets.QLabel(Language.CurrentDict[3]+":") txt_ip2 = QtWidgets.QLineEdit("0.0.0.0") - try: - fill = [(s.connect(('8.8.8.8', 53)), s.getsockname()[0], s.close()) for s in [socket.socket(socket.AF_INET, socket.SOCK_DGRAM)]][0][1] - txt_ip2.setText(str(fill)) - except: - pass l_nsp = QtWidgets.QLabel("") l_ip = QtWidgets.QLabel(Language.CurrentDict[2]+":") l_port = QtWidgets.QLabel("Port:") @@ -1420,12 +1786,32 @@ try: btn_header = QtWidgets.QPushButton(Language.CurrentDict[1]) l_rate = QtWidgets.QLabel(Language.CurrentDict[4]) l_github = QtWidgets.QLabel("v" + VERSION) - l_status = QtWidgets.QLabel(Language.CurrentDict[9]+".") + l_status = QtWidgets.QLabel(Language.CurrentDict[9]) l_switch = QtWidgets.QLabel(Language.CurrentDict[10]+"!") list_nsp = QtWidgets.QListWidget() combo = QComboBox() + h_box = QtWidgets.QHBoxLayout() + h2_box = QtWidgets.QHBoxLayout() + h3_box = QtWidgets.QHBoxLayout() + h_group = QtWidgets.QButtonGroup() + v_box = QtWidgets.QVBoxLayout() + img_label = QLabel() + progressbar = QProgressBar() + gold_img_label = QLabel() + about = QMainWindow() + about_v_box = QtWidgets.QVBoxLayout() + credit_list = QtWidgets.QListWidget() + monero_list = QtWidgets.QListWidget() + about_img_label = QLabel() + l_thanks = QtWidgets.QLabel(Language.CurrentDict[31]) + l_donate = QtWidgets.QLabel(Language.CurrentDict[32]) #Set Widgets + try: + fill = [(s.connect(('8.8.8.8', 53)), s.getsockname()[0], s.close()) for s in [socket.socket(socket.AF_INET, socket.SOCK_DGRAM)]][0][1] + txt_ip2.setText(str(fill)) + except: + pass try: txt_ip.setText(switch_ip) except: @@ -1435,74 +1821,56 @@ try: txt_ip2.setEnabled(False) txt_port = QtWidgets.QLineEdit("2000") txt_port.setEnabled(False) - h_box = QtWidgets.QHBoxLayout() - h2_box = QtWidgets.QHBoxLayout() - h3_box = QtWidgets.QHBoxLayout() h3_box.addWidget(dark_check) h3_box.addStretch() h3_box.addWidget(l_github) - h_group = QtWidgets.QButtonGroup() combo.addItem(Language.CurrentDict[6]) combo.addItem(Language.CurrentDict[5]) combo.setCurrentIndex(1) tin_radio.setChecked(True) - tin_radio.toggled.connect(tin_radio_cmd) + tin_radio.toggled.connect(UI.tin_radio_cmd) gold_radio.setChecked(False) - gold_radio.toggled.connect(gold_radio_cmd) + gold_radio.toggled.connect(UI.gold_radio_cmd) h_group.addButton(tin_radio) h_group.addButton(gold_radio) h2_box.addWidget(tin_radio) h2_box.addWidget(gold_radio) - split_check.stateChanged.connect(split_cmd) - dark_check.stateChanged.connect(dark_mode_cmd) + dark_check.stateChanged.connect(UI.dark_mode_cmd) usb_radio.setChecked(True) - usb_radio.toggled.connect(usb_radio_cmd) + usb_radio.toggled.connect(UI.usb_radio_cmd) h_box.addWidget(usb_radio) - net_radio.toggled.connect(net_radio_cmd) + net_radio.toggled.connect(UI.net_radio_cmd) h_box.addWidget(net_radio) btn_header.setEnabled(False) - progressbar = QProgressBar() progressbar.setAlignment(Qt.AlignVCenter) progressbar.setMaximum(100) - v_box = QtWidgets.QVBoxLayout() - img_label = QLabel() img_label.setAlignment(Qt.AlignCenter) + gold_img_label.setAlignment(Qt.AlignCenter) + gold_img_label.setPixmap(goldpixmap) + + # About Window + about_v_box.setContentsMargins(0,0,0,0) + about_img_label.setAlignment(Qt.AlignCenter) + l_thanks.setAlignment(Qt.AlignCenter) + l_donate.setAlignment(Qt.AlignCenter) + about_img_label.setPixmap(aboutpixmap) + about_v_box.addWidget(about_img_label) + about_v_box.addWidget(l_thanks) + about_v_box.addWidget(credit_list) + about_v_box.addWidget(l_donate) + about_v_box.addWidget(monero_list) + about.setCentralWidget(QWidget(about)) + about.centralWidget().setLayout(about_v_box) + about.setWindowTitle(Language.CurrentDict[30]) + about.setWindowIcon(QIcon(iconpixmap)) + for a in thanks: + credit_list.addItem(a) + monero_list.addItem("Monero(XMR)") + monero_list.addItem(MONERO_ADDRESS) - # Language Init - def init_language(): - l_nsp.setText("") - l_status.setText(Language.CurrentDict[9]+".") - l_switch.setText(Language.CurrentDict[10]+"!") - l_ip.setText(Language.CurrentDict[2]+":") - dark_check.setText(Language.CurrentDict[20]) - net_radio.setText(Language.CurrentDict[24]) - btn_nsp.setText(Language.CurrentDict[13]) - btn_header.setText(Language.CurrentDict[1]) - l_rate.setText(Language.CurrentDict[4]) - combo.clear() - combo.SelectedIndex = 0 - combo.addItem(Language.CurrentDict[5]) - combo.addItem(Language.CurrentDict[6]) - l_host.setText(Language.CurrentDict[3]+":") - lang_menu.setTitle(Language.CurrentDict[22]) - #git_menu.setTitle(Language.CurrentDict[23]) - window.setWindowTitle(Language.CurrentDict[0]) - # Menu Bar - def lang_menu_cmd(): - new_lang = None - ai = 0 - for action in lang_menu.actions(): - if action.isChecked(): - if ai != language: - set_language(ai) - init_language() - ai+=1 - - lang_menu = window.menuBar().addMenu(Language.CurrentDict[22]) - #opt_menu = window.menuBar().addMenu(Language.CurrentDict[21]) - #git_menu = window.menuBar().addMenu(Language.CurrentDict[23]) + about_menu = window.menuBar().addAction(Language.CurrentDict[30]) lang_group = QActionGroup(lang_menu) lang_group.setExclusive(True) lang_group.addAction(QAction('English',lang_group,checkable=True)) @@ -1516,34 +1884,31 @@ try: lang_group.addAction(QAction('Deutsch',lang_group,checkable=True)) lang_group.addAction(QAction('Bahasa Indonesia',lang_group,checkable=True)) lang_menu.addActions(lang_group.actions()) - lang_group.triggered.connect(lang_menu_cmd) - #opt_menu.triggered.connect(opt_menu_cmd) - #git_menu.triggered.connect(git_menu_cmd) + lang_group.triggered.connect(UI.lang_menu_cmd) + about_menu.triggered.connect(UI.about_menu_cmd) - # Set Language + # "And for gosh sake watch your language!" -Tony, May 1st 2015 aix = 0 for action in lang_menu.actions(): if aix == language: action.setChecked(True) aix+=1 - - init_language() + UI.init_language() # Occupy VBOX v_box.addLayout(h2_box) v_box.addWidget(img_label) v_box.addStretch() + v_box.addWidget(gold_img_label) + v_box.addStretch() v_box.addLayout(h_box) v_box.addWidget(l_ip) v_box.addWidget(txt_ip) v_box.addWidget(l_host) v_box.addWidget(txt_ip2) - #v_box.addWidget(l_port) - #v_box.addWidget(txt_port) v_box.addWidget(l_rate) v_box.addWidget(combo) - #v_box.addWidget(split_check) v_box.addWidget(btn_nsp) v_box.addWidget(btn_header) v_box.addWidget(l_nsp) @@ -1555,65 +1920,117 @@ try: window.setCentralWidget(QWidget(window)) window.centralWidget().setLayout(v_box) window.setWindowTitle(Language.CurrentDict[0]) - btn_nsp.clicked.connect(nsp_file_dialog) - btn_header.clicked.connect(send_header_cmd) + btn_nsp.clicked.connect(UI.nsp_file_dialog) + btn_header.clicked.connect(UI.send_header_cmd) window.setWindowIcon(QIcon(iconpixmap)) + gold_img_label.setVisible(False) + window.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Minimum) window.show() # Revert to network mode - if not usb_success: - net_radio_cmd() - net_radio.setChecked(True) - usb_radio.setVisible(False) - l_rate.setVisible(False) - combo.setVisible(False) - gold_radio.setVisible(False) - l_switch.setText(Language.CurrentDict[12]) - l_switch.setStyleSheet(BLUE) - if dark_mode == 0: + UI.check_usb_success() + + # Checkbox for Dark Mode + if dark_mode == 1: try: - set_dark_mode(0) + set_dark_mode(1) dark_check.setChecked(True) except: - set_dark_mode(1) + set_dark_mode(0) dark_check.setChecked(False) pass else: - set_dark_mode(1) + set_dark_mode(0) dark_check.setChecked(False) # Main loop - while True: + QApplication.processEvents() + # QMessage Response + if needresponse: + if ignore_warning_prompt == 0: + print("To ignore future prompts, change \'ignore_warning_prompt\' to 1 in fluffy.conf.") + if qrespnum == 0: + re = QMessageBox.warning(window, 'Warning!', "Goldleaf wants to read a file that isn't an NSP.\nLet Goldleaf read this file?", QMessageBox.Yes | QMessageBox.No, QMessageBox.No) + if re == QMessageBox.No: + set_response_qmessage(False) + elif re == QMessageBox.Yes: + set_response_qmessage(True) + elif qrespnum == 1: + re = QMessageBox.warning(window, 'Warning!', "Goldleaf wants to write a file.\nConfirm file write?", QMessageBox.Yes | QMessageBox.No, QMessageBox.No) + if re == QMessageBox.No: + set_response_qmessage(False) + elif re == QMessageBox.Yes: + set_response_qmessage(True) + elif qrespnum == 2: + re = QMessageBox.warning(window, 'Warning!', "Goldleaf wants to create a file.\nConfirm creation?", QMessageBox.Yes | QMessageBox.No, QMessageBox.No) + if re == QMessageBox.No: + set_response_qmessage(False) + elif re == QMessageBox.Yes: + set_response_qmessage(True) + elif qrespnum == 3: + re = QMessageBox.warning(window, 'Warning!', "Goldleaf wants to create a directory.\nConfirm creation?", QMessageBox.Yes | QMessageBox.No, QMessageBox.No) + if re == QMessageBox.No: + set_response_qmessage(False) + elif re == QMessageBox.Yes: + set_response_qmessage(True) + elif qrespnum == 4: + re = QMessageBox.warning(window, 'Warning!', "Goldleaf wants to delete a file.\nConfirm deletion?", QMessageBox.Yes | QMessageBox.No, QMessageBox.No) + if re == QMessageBox.No: + set_response_qmessage(False) + elif re == QMessageBox.Yes: + set_response_qmessage(True) + elif qrespnum == 5: + re = QMessageBox.warning(window, 'Warning!', "Goldleaf wants to delete a directory.\nConfirm deletion?", QMessageBox.Yes | QMessageBox.No, QMessageBox.No) + if re == QMessageBox.No: + set_response_qmessage(False) + elif re == QMessageBox.Yes: + set_response_qmessage(True) + elif qrespnum == 6: + re = QMessageBox.warning(window, 'Warning!', "Goldleaf wants to rename a file or directory.\nConfirm rename?", QMessageBox.Yes | QMessageBox.No, QMessageBox.No) + if re == QMessageBox.No: + set_response_qmessage(False) + elif re == QMessageBox.Yes: + set_response_qmessage(True) + else: + set_response_qmessage(True) + while haveresponse: + time.sleep(1) + + # Check If Any Errors if last_error != "NA": - msg_box = QMessageBox.critical(window, 'Error', last_error, QMessageBox.Ok) + if not task_canceled: + msg_box = QMessageBox.critical(window, 'Error', last_error, QMessageBox.Ok) reset_last_error() - reset_install() + cancel_task() + + # Check Log Size if is_logging: - if os.path.isfile(initial_dir + '/fluffy.log'): - if os.path.getsize(initial_dir + '/fluffy.log') > 250000: - logging.debug("Fluffy Log: Logging size reached, turning off logging.") - turn_off_logging() - if os.path.isfile('fluffy.log'): - if os.path.getsize('fluffy.log') > 250000: - logging.debug("Fluffy Log: Logging size reached, turning off logging.") + if os.path.isfile(initial_dir + 'fluffy.log'): + if os.path.getsize(initial_dir + 'fluffy.log') > 250000: + logging.debug("Error: Log size reached, turning off logging.") turn_off_logging() - - QApplication.processEvents() - + + # Fix Dark Mode CheckBox + if dark_mode == 0 and dark_check.isChecked(): + dark_check.setChecked(False) + + # Save config and close if not window.isVisible(): try: switch_ip = txt_ip.text() except: pass - close_program() - pid = os.getpid() - os.kill(pid, signal.SIGTERM) - - if is_exiting: - pid = os.getpid() - os.kill(pid, signal.SIGTERM) + save_config() + cancel_task() + sys.exit() + + # Switch Indicator + if not is_installing and not is_network and usb_success and not sent_header: + UI.set_switch_text() + + # Tinfoil Network Mode if not sent_header and not is_installing and is_network: l_switch.setText(Language.CurrentDict[12]) l_switch.setStyleSheet(BLUE) @@ -1621,18 +2038,15 @@ try: btn_header.setEnabled(True) else: btn_header.setEnabled(False) - - if not is_installing and not is_network and usb_success and not sent_header: - set_switch_text() - - # Tinfoil Network Mode + + # Network Header Sent if sent_header and is_network: try: if is_done: - set_done_text() + UI.set_done_text() else: if is_installing: - set_progress_text() + UI.set_progress_text() else: l_status.setText(Language.CurrentDict[25]) l_switch.setText(Language.CurrentDict[15]) @@ -1640,28 +2054,30 @@ try: except: pass - if sent_header and not is_installing and not is_done: + # Cancel Button + if sent_header and not is_done: btn_header.setEnabled(True) btn_header.setText(Language.CurrentDict[16]) - if sent_header and is_installing and not is_done: - btn_header.setEnabled(False) + + # Installation in progress disable cancel + #if sent_header and is_installing and not is_done: + #btn_header.setEnabled(False) # Goldleaf & Tinfoil USB Mode if sent_header and not is_network: try: if is_done: - set_done_text() + UI.set_done_text() else: if is_installing: - set_progress_text() + UI.set_progress_text() else: - set_loading_text() + UI.set_loading_text() except: pass except Exception as e: if is_logging: logging.error(e, exc_info=True) - close_program() - pid = os.getpid() - os.kill(pid, signal.SIGTERM) + save_config() + sys.exit() diff --git a/misc/inlayv4dark.png b/misc/inlayv4dark.png new file mode 100644 index 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literal 0 HcmV?d00001 diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 54e2fd5..0000000 --- a/requirements.txt +++ /dev/null @@ -1,4 +0,0 @@ -libusb>=1.0.22b2 -libusb1>=1.7 -PyQt5>=5.11.3 -pyusb>=1.0.2 diff --git a/run.bat b/run.bat deleted file mode 100644 index b86a135..0000000 --- a/run.bat +++ /dev/null @@ -1,10 +0,0 @@ -@echo off - -rem Check if we don't have a venv folder. If so, run the setup! -if not exist .\venv\ call setup.bat - -rem Activate the virtual environment -call venv\Scripts\activate.bat - -rem Run Fluffy! -start pythonw -m fluffy.pyw diff --git a/setup.bat b/setup.bat deleted file mode 100644 index 597fcba..0000000 --- a/setup.bat +++ /dev/null @@ -1,45 +0,0 @@ -@echo off - -rem Check if we already have a venv folder. If so, stop and exit -if exist .\venv\ ( - echo. - echo Previous Virtual Environment detected! - echo Fluffy should already be ready to run! - echo. - echo If you want to recreate the Virtual Environment, please delete the `venv\` folder - echo. - timeout /T 5 1> NUL - exit /B -) - -rem First, create the virtual environment. -rem IMPORTANT: virtualenv utility doens't work with pythonw! Using the stdlib one! -cls -echo. -echo Performing first time setup of the Virtual Environment for Fluffy. Please wait... -echo. -python -m venv venv 1> NUL - -rem Activate the virtual environment -echo. -echo Activating Virtual Environment... -echo. -call venv\Scripts\activate.bat - -rem Upgrade the pip install in the enviroment to the latest -echo. -echo Upgrading venv's pip installation... -echo. -easy_install -U pip 1> NUL - -rem Install the required packages on the environment -echo. -echo Installing required packages for Fluffy... -echo. -pip install -r requirements.txt 1> NUL - -rem Print success message and wait 5 seconds before closing -echo. -echo Setup complete! You can run Fluffy now! -echo. -timeout /T 5