Docker版本迅雷 API Client
Project description
pyxunlei
基于Docker版本的Xunlei API Client
使用方法
from pyxunlei import XunleiClient
# 初始化时支持以下参数:
# host (str): 域名或IP
# port (int): 端口号
# ssl (bool): 是否启动HTTPS
# device_name (str): 设备名称,当同一个账号下绑定了多个远程迅雷,可指定设备名称,设备名称可在迅雷APP查看
# 例如:群晖-xunlei
# device_name为空时使用第一个设备.
# download_root_dir(str): 下载根目录的目录名称,可以在web页面上查看,如不填写则默认选择第一个(一般是迅雷下载)
xunlei_client = XunLeiClient(
'192.168.2.137', 2345, device_name="群晖-xunlei")
# 获取已完成任务列表
completed_tasks = xunlei_client.completed_tasks()
# 获取未完成任务列表
uncompleted_tasks = xunlei_client.uncompleted_tasks()
# 提交磁力链接
magnetic_link = "磁力链接"
sub_dir = "子目录" # 为空时则不创建子目录
preprocess_file = xunlei_client.filter_file_by_size # 指定预处理文件函数,可使用内置的filter_file_by_size过滤掉小于500M以及大于40G的文件
xunlei_client.download_magnetic(magnetic_link, sub_dir, preprocess_file)
# 提交种子链接
torrent_file_path = "your.torrent" # 种子文件路径
xunlei_client.download_torrent(torrent_file_path, sub_dir, preprocess_file)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyxunlei-0.1.2.tar.gz
(7.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyxunlei-0.1.2.tar.gz.
File metadata
- Download URL: pyxunlei-0.1.2.tar.gz
- Upload date:
- Size: 7.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.0 CPython/3.10.6 Darwin/20.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3ceac7a26c10f58b6a748d7f76453ee61b6d2df89ac710933a851833cc32f8ac
|
|
| MD5 |
4b51eaf80fe918f7968852520a9e7508
|
|
| BLAKE2b-256 |
8f5696b6a924aa0ac89bcd36441ce19b0b916cc9599a228ffb8006f0ffa53c94
|
File details
Details for the file pyxunlei-0.1.2-py3-none-any.whl.
File metadata
- Download URL: pyxunlei-0.1.2-py3-none-any.whl
- Upload date:
- Size: 8.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.0 CPython/3.10.6 Darwin/20.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
75385f7aec94f6d724376f884a3171704ac542787ef3590960a3e872a6db004b
|
|
| MD5 |
7486c4e99a351e9bd3aace954ce62e69
|
|
| BLAKE2b-256 |
69f773387c83ff23028f43d0911db6fe6f0e8d4b8c31e30580ced5d52c8847fa
|