111 lines
2.8 KiB
TOML
111 lines
2.8 KiB
TOML
#创建文件时，若需要保留中文注释，请务必确保本文件编码为 UTF-8 ，否则会无法读取。
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workers = 4 # 同时下载文件数
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retry = 3 # 下载失败重试次数
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threads = 4 # 单个任务下载最大线程数
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stream = false # 使用stream模式, 详情请查看文档
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[telegram]
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# Bot Token
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# 更换 Bot Token 后请删除数据库文件和 session.db
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token = ""
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# Telegram API 配置, 若不配置也可运行, 将使用默认的 API ID 和 API HASH
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# 推荐使用自己的 API ID 和 API HASH (https://my.telegram.org)
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# app_id = 1025907
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# app_hash = "452b0359b988148995f22ff0f4229750"
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# 初始化超时时间, 单位: 秒
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timeout = 60
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# flood_retry = 5
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# rpc_retry = 5
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[telegram.proxy]
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# 启用代理连接 telegram, 只支持 socks5
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enable = false
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url = "socks5://127.0.0.1:7890"
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# 用户列表
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[[users]]
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# telegram user id
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id = 114514
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# 使用黑名单模式，开启后下方留空以使用所有存储，反之则为白名单，白名单请在下方输入允许的存储名
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blacklist = true
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# 将列表留空并开启黑名单模式以允许使用所有存储，此处示例为黑名单模式，用户 114514 可使用所有存储
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storages = []
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[[users]]
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id = 123456
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blacklist = false # 使用白名单模式，此时，用户123456 仅可使用下方列表中的存储
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# 此时该用户只能使用名为 本机1 的存储
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storages = ["本机1"]
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# 存储列表
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[[storages]]
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# 标识名, 需要唯一
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name = "本机1"
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# 存储类型, 目前可用: local, alist, webdav, minio
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type = "local"
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# 启用存储
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enable = true
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# 文件保存根路径
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base_path = "./downloads"
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[[storages]]
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name = "MyAlist"
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type = "alist"
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enable = false #记得启用
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base_path = '/'
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url = 'https://alist.com'
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username = 'admin'
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password = 'password'
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# alist token 刷新时间
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# 86400--1天 604800--7天 1296000--15天 2592000--30天 15552000--180天
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token_exp = 86400
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# alist 可直接使用 token 登录, 此时 username, password, token_exp 将被忽略
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# 请自行在 alist 侧配置合理的 token 过期时间
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# token = ""
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[[storages]]
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name = "MyWebdav"
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type = "webdav"
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enable = false
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base_path = '/path/telegram'
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url = 'https://example.com/dav'
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username = 'username'
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password = 'password'
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[[storages]]
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name = "MyMinio"
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type = "minio"
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enable = true
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endpoint = 'play.min.io'
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use_ssl = true
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access_key_id = 'Q3AM3UQ867SPQQA43P2F'
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secret_access_key = 'zuf+tfteSlswRu7BJ86wekitnifILbZam1KYY3TG'
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bucket_name = 'saveanybot'
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base_path = '/path/telegram'
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[[storages]]
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name = "mychannel"
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type = "telegram"
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enable = true
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chat_id = 1820371480
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# 其他配置
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# [log]
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# # 日志等级
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# level = "DEBUG"
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# [temp]
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# # 下载文件临时目录, 请不要在此目录下存放任何其他文件
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# base_path = "cache/"
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# # 临时文件保存时间, 单位: 秒
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# cache_ttl = 30
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# [db]
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# path = "data/data.db" # 数据库文件路径
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# session = "data/session.db"
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