
whyour/qinglong
一款支持TypeScript、JavaScript、Python3及Shell多种编程语言的定时任务管理面板,可帮助用户高效创建、配置和监控各类定时任务,满足不同开发场景下的自动化需求,提升任务执行的稳定性与管理效率。
让 AI 帮你使用轩辕镜像? · 展开查看说明 · 点击收起说明
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
Qinglong
简体中文 | English
Timed task management platform supporting Python3, JavaScript, Shell, Typescript
https://www.npmjs.com/package/@whyour/qinglong?activeTab=readme https://hub.docker.com/r/whyour/qinglong https://hub.docker.com/r/whyour/qinglong https://hub.docker.com/r/whyour/qinglong
Demo / https://github.com/whyour/qinglong/issues / *** Channel / Buy Me a Coffee
演示 / https://github.com/whyour/qinglong/issues / *** 频道 / ***开发者
Features
- Support for multiple scripting languages (python3, javaScript, shell, typescript)
- Support online management of scripts, environment variables, configuration files
- Support online view task log
- Support second-level task setting
- Support system level notification
- Support dark mode
- Support cell phone operation
Version
docker
The latest image is built on alpine and the debian image is built on debian-slim. If you need to use a dependency that is not supported by alpine, it is recommended that you use the debian image.
bashdocker pull whyour/qinglong:latest docker pull whyour/qinglong:debian
npm
The npm version supports debian/ubuntu/centos/alpine systems and requires node/python3 to be installed.
bashnpm i @whyour/qinglong
Built-in commands
- task
bash# Execute in sequence, if a random delay is set, it will be randomly delayed by a certain number of seconds task <file_path> # Execute in sequence, regardless of whether a random delay is set, all run immediately, # and the foreground will output the day, while recorded in the log file task <file_path> now # Concurrent execution, regardless of whether a random delay is set, are run immediately, # the foreground does not generate the day, directly recorded in the log file, and can be specified account execution task <file_path> conc <env_name> <account_number>(Optional) # Specify the account to execute and run immediately regardless of whether a random delay is set task <file_path> desi <env_name> <account_number> # Set task timeout task -m <max_time> <file_path> # Use -- to split, -- followed by a parameter that is passed to the script, as in the following example, the script receives the parameter -u whyour -p password task <file_path> -- -u whyour -p password
- ql
bash# Update and restart Green Dragon ql update # Run custom scripts extra.sh ql extra # Adding a single script file ql raw <file_url> # Add a specific script for a single repository ql repo <repo_url> <whitelist> <blacklist> <dependence> <branch> # Delete old logs ql rmlog <days> # Start bot ql bot # Detecting the Green Dragon environment and repairing it ql check # Reset the number of login errors ql resetlet # Disable two-step login ql resettfa
| Parameter | Description |
|---|---|
| file_url | Script address |
| repo_url | Repository address |
| whitelist | The whitelist when pulling the repository, i.e., the string contained in the path of the script to be pulled |
| blacklist | Blacklisting when pulling repositories, i.e. strings that are not included in the path of the script to be pulled |
| dependence | Pulling the dependencies needed for the repository will be copied directly from the repository to the repository directory under scripts, regardless of the blacklist |
| extensions | Pull the branch of the repository |
| branch | Number of days of logs to be kept |
| days | File path for task execution |
| file_path | The name of the environment variable that needs to be concurrent or specified at the time of task execution |
Deployment
Docker (Recommended)
bash# curl -sSL get.docker.com | sh docker run -dit \ -v $PWD/ql/data:/ql/data \ # The 5700 after the colon is the default port, if QlPort is set, it needs to be the same as QlPort. -p 5700:5700 \ # Deployment paths are not required, e.g. /test. -e QlBaseUrl="/" \ # Deployment port is not required, when using host mode, you can set the port after service startup, default 5700 -e QlPort="5700" \ --name qinglong \ --hostname qinglong \ --restart unless-stopped \ whyour/qinglong:latest
Docker-compose (Recommended)
bash# curl -L https://github.com/docker/compose/releases/download/1.16.1/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose mkdir qinglong wget https://raw.githubusercontent.com/whyour/qinglong/master/docker/docker-compose.yml # start docker-compose up -d # stop docker-compose down
Podman (Recommended)
bash# https://podman.io/getting-started/installation podman run -dit \ --network bridge \ -v $PWD/ql/data:/ql/data \ # The 5700 after the colon is the default port, if QlPort is set, it needs to be the same as QlPort. -p 5700:5700 \ # Deployment paths are not required, e.g. /test. -e QlBaseUrl="/" \ # Deployment port is not required, when using host mode, you can set the port after service startup, default 5700 -e QlPort="5700" \ --name qinglong \ --hostname qinglong \ docker.io/whyour/qinglong:latest
Local
It is recommended to use a pure system installation to avoid losing the original system data, you need to install node/npm/python3/pip3 yourself
bashnpm install -g @whyour/qinglong qinglong # Add the environment variables QL_DIR and QL_DATA_DIR when prompted export QL_DIR="" export QL_DATA_DIR="" # Run again qinglong
Development
bash$ git clone git@github.com:whyour/qinglong.git $ cd qinglong $ cp .env.example .env # Recommended use pnpm https://pnpm.io/zh/installation $ npm install -g pnpm@8.3.1 $ pnpm install $ pnpm start
Open your browser and visit <[***]>
Links
- https://gitee.com/evine
- https://github.com/alseambusher/crontab-ui
- Ant Design
- Ant Design Pro
- Umijs
- https://github.com/darkreader/darkreader
- https://github.com/sunpu007/admin-server
Name Origin
The Green Dragon, also known as the Canglong, is one of the four elephants and one of the four spirits of the heavens in traditional Chinese culture. According to the Five Elements, it is a spirit animal representing the East as a green dragon, the five elements are wood, and the season represented is spring, with the eight trigrams dominating vibration. Like the Ying Long, the Cang Long has feathered wings. According to the Zhang Guo Xing Zong (Zhang Guo Xing Zong), "a true dragon is one that has complementary wings".
In the Book of the Later Han Dynasty (後漢書-律曆志下), it is written: "The sun is in the sky, a cold and a summer, the four seasons are ready, all things are changed, the regency moves, and the green dragon moves to the star, which is called the year. (The Year of the Star)
Among the twenty-eight Chinese constellations, the Green Dragon is the generic name for the seven eastern constellations (Horn, Hyper, Diao, Fang, Heart, Tail and Minchi). It is known in Taoism as "Mengzhang" and in different Taoist scriptures as "Dijun", "Shengjian", "Shenjian" and He is also known in different Daoist scriptures as "Dijun", "Shengjun", "Shenjun" and "Ghost Catcher"[1], and is the guardian deity of Daoism, together with the White Tiger Supervisor of Soldiers.
Deployment & Usage Documentation
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
DockerHub 原生拉取命令
镜像拉取常见问题
功能
错误码
用户好评
来自真实用户的反馈,见证轩辕镜像的优质服务
