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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。
This Python application uses the MBTA v3 API to provide a RESTful API for Boston's subway, lightrail, and Commuter Rail lines. Below is an example request is for the inbound Lowell Commuter Rail prediction from Lowell and response (note: API is not currently live):
Request:
http://mbta-tracker-backend-api.com/prediction?stop=place-NHRML-0254&route=CR-Lowell&direction=1
Response:
{ "status": None, "predictedTime": 2020-02-22T15:11:04-05:00, "alert": None }
Run the following to pull the image from DockerHub:
docker pull erikhean/mbta-tracker
It was deployed to Google Cloud Platform via Kubernetes (it has since been removed to save costs until further development). The end goal is to develop a mobile app that provides prediction times, status, and alerts for a user's favorite rail lines. You can see the progress for the mobile app development https://github.com/ehean/MBTA-Tracker-Mobile-App.
The repo is divided into the following directories:
Every merge into master triggers a new build in DockerHub.
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