Automatically fetch anime updates from the Mikan Project's RSS feed and offline download them to the cloud drive through Alist.
Project description
Alist-MikananiRss
从蜜柑计划的RSS订阅源中自动获取番剧更新并通过Alist离线下载至对应网盘
并结合使用ChatGPT分析资源名,将资源重命名为Emby可解析的格式。
功能
- 自动获取番剧更新并下载至对应网盘
- telegram更新通知
- 自动重命名为emby可识别格式
重命名效果展示
准备工作
- 请自行参照Alist项目文档部署Alist(版本须>=3.29.0),并搭建好Aria2/qBittorrent离线下载
- 自行注册蜜柑计划账户,订阅番剧,获取订阅链接
如何使用
-
参考官方文档安装Rye
- linux:
curl -sSf https://rye-up.com/get | bash
- windows: rye-x86_64-windows.exe for 64bit Intel Windows
-
下载源码
git clone https://github.com/TwooSix/Alist-MikananiRss.git && cd Alist-MikananiRss
-
初始化运行环境
rye sync --no-dev
-
在目录下新建一个
config.yaml
配置文件,并填写配置文件如下(完整功能示例详解见配置说明)common: interval_time: 300 alist: base_url: https://example.com # 修改为你的alist访问地址 token: alist-xxx # 修改为你的alist token;可在"管理员后台->设置->其他"中找到 downloader: qBittorrent # 或者 aria2 download_path: Onedrive/Anime # 修改为你的下载路径,相对于alist根目录 mikan: subscribe_url: https://mikanani.me/RSS/MyBangumi?token=xxx # 修改为你的蜜柑订阅地址 filters: - 非合集 rename: regex: ~
-
运行代码:
rye run alist-mikananirss
-
Enjoy
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
alist_mikananirss-0.1.0.tar.gz
(99.3 kB
view details)
Built Distribution
File details
Details for the file alist_mikananirss-0.1.0.tar.gz
.
File metadata
- Download URL: alist_mikananirss-0.1.0.tar.gz
- Upload date:
- Size: 99.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bad81fdff495caedf91cc9eae36308cba667494339ac271653fae7648e0d73ab |
|
MD5 | e575598bb1732503f2a2dee52fe60dab |
|
BLAKE2b-256 | 04ae5a3daa7f44cd0b068202d67c4eb1d2adbfb9914e5cbdcc523e940a9896d3 |
File details
Details for the file alist_mikananirss-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: alist_mikananirss-0.1.0-py3-none-any.whl
- Upload date:
- Size: 30.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0570999ac1876fdbb6c7463004bb3e4e5656b9d901e4261b49fa0f20d7b2cc81 |
|
MD5 | 04f343e91c7f9677c33a0065e8564e02 |
|
BLAKE2b-256 | d5d09df2443f68bd557c2648d210cef935f53c64657ee172109015abc1cc0822 |