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module | ||
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webapp | ||
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console.bat | ||
gui.py | ||
installer.py | ||
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README.md | ||
requirements-in.txt | ||
requirements.txt | ||
src.py |
StarRailCopilot
Star Rail Instant Tea, a bot for Honkai: Star Rail, based on the next generation of ALAS framework.
Features
- Dungeons: Character Planner, Dungeons, dungeons at double event, echo of war.
- Rewards: Complete daily quests, do assignment, claim nameless horner rewards.
- Simulated Universe: Farm SU, farm planers using trailbalze power.
- AFK Auto Farming: Automatically launch emulators and games, do dungeons and quests at background, keep track of resources through dashboard.
- Cloud Gaming: [CN only] Run SRC on cloud HSR
Install
Refers to Installation tutorial, including easy-installer manual, use manual, manual installation tutorial.
Why use emulators? If you run a bot on the desktop client, game windows must stay at front. I guess you don't wanna baby-sit there without being able to move the mouse and keyboard while running the bot, so use the emulators.
How's the performance? Lme's 8700k+1080ti using MuMu12 emulator with graphic settings very high gets 40 fps. It shouldn't be a problem to run with maximum graphic settings and 60 fps if you have newer PC specs.
Develpment
Discord https://discord.gg/aJkt3mKDEr
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Development Docs (menu is on sidebar): Alas wiki (in Chinese). However, there is ton of code newly written, it is recommended to read the source code and historical commits.
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Development Road Map: See pinned issues. Pull Requests are welcomed, just pick the part you interested to work on.
How to add multi-language or multi-server support? Need assets updates, see "Adding a Button" in development docs.
About ALAS
SRC is based on an Azur Lane bot AzurLaneAutoScript. After 3 years of development, ALAS has reached a high degree of completion, but it has also accumulated a lot of shit code that is difficult to change. We hope that Fix these issues on a new project.
- Update OCR. ALAS has trained multiple models on cnocr==1.2.2, but the dependent mxnet is no longer active, machine learning is developing rapidly, and the speed of new models and the correct rate crushes the old model.
- Converting setting files into pydantic models. Since the concept of task and scheduler was added, the number of user settings greatly increased. ALAS has built a code generator to implement setting read and update. pydantic will make things more elegantly.
- Better Assets management. button_extract helps ALAS to easily maintain 4000+ template images, but it has a serious performance issue, and the reminder of multi-server supported is also submerged in a large amount of meaningless logs.
- Reduced coupling to Azur Lane. The ALAS framework and ALAS GUI have the ability to interface with other games and their not, but the completed MAA plug-in for Arknights and [fgo-py](https: //github.com/hgjazhgj/FGO-py) plug-in under development have found serious coupling problems between ALAS and the Azur Lane game itself.