明日方舟(Arknights) 相关功能的整合库
现拥有如下功能：
- 抽卡
- 模拟十连
- 随机干员生成
- 公招链接生成
- 猜干员游戏
- 抽卡结果查询
欢迎 PR
安装
pip install arknights-toolkit
pdm add arknights-toolkit
配置
arknights-toolkit 配套了 cli 工具用于资源下载:
初始化数据与图片资源:
arkkit init
更新抽卡卡池:
arkkit update gacha path/to/gacha.json
示例
from arknights_toolkit.gacha import ArknightsGacha, GachaUser
from arknights_toolkit.gacha.simulate import simulate_image
from pathlib import Path
import asyncio
async def main():
gacha = ArknightsGacha("path/to/gacha.json")
user = GachaUser()
data = gacha.gacha(user, 10)
img = await simulate_image(data[0])
with Path("example_sim.png").open("wb+") as f:
f.write(img)
asyncio.run(main())
抽卡结果:
1 maintainer
Metadata
1 maintainer
Release files for arknights-toolkit 0.8.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| arknights_toolkit-0.8.3.tar.gz | 24.2 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arknights_toolkit-0.8.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.4 MB
Release files / arknights_toolkit-0.8.3.tar.gz
| Download URL | arknights_toolkit-0.8.3.tar.gz |
|---|---|
| Size | 24.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
pdm/2.28.0 CPython/3.11.7 Windows/10
|
Release files / arknights_toolkit-0.8.3-py3-none-any.whl
| Download URL | arknights_toolkit-0.8.3-py3-none-any.whl |
|---|---|
| Size | 24.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
pdm/2.28.0 CPython/3.11.7 Windows/10
|
Security for arknights-toolkit 0.8.3
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