# MathLab 配置文件

# 教材路径（支持 PDF 或 Markdown）
textbook_path: "/mnt/ai/textbooks"
textbooks:
  - name: "统计学习方法"
    path: "lihang-code"
    phase: 1
    topics:
      - "第 02 章 感知机"
      - "第 03 章 k 近邻法"
      - "第 04 章 朴素贝叶斯"
      - "第 09 章 EM 算法及其推广"
      - "第 10 章 隐马尔可夫模型"
  - name: "动手学深度学习"
    path: "d2l-zh"
    phase: 2
    topics:
      - "chapter_deep-learning-computation"
      - "chapter_convolutional-neural-networks"
      - "chapter_attention-mechanisms"
  - name: "Reinforcement Learning 数学基础"
    path: "Book-Mathematical-Foundation-of-Reinforcement-Learning"
    phase: 3
    topics:
      - "3 - Chapter 1 Basic Concepts.pdf"
      - "3 - Chapter 2 State Values and Bellman Equation.pdf"
      - "3 - Chapter 3 Optimal State Values and Bellman Optimality Equation.pdf"
      - "3 - Chapter 4 Value Iteration and Policy Iteration.pdf"

# Git 仓库配置
gogs_url: "https://code.indigofloyd.space/ClawLab/mathlab.git"
git_branch: "master"
gogs_username: "OpenClaw"
gogs_password: "OpenClaw123456"

# 定时任务配置（Cron 表达式）
cron:
  batch_compilation: "0 10 * * 6"  # 每周六 10:00 批处理
  daily_deploy: "0 14 * * *"  # 每天 14:00 部署

# 输出目录
output:
  staging: "./staging"
  courseware: "./courseware"
  exercises: "./exercises"
  tests: "./tests"

# PDF 转 Markdown 工具
pdf_converter: "pdftotext"  # 或 "marker_single"

# 通知配置
notification:
  enabled: true
  channel: "feishu"
  template: "👾 今天的靶机已部署！知识点：{topic}。请从 Gogs 拉取代码，跑通 `pytest` 击溃它。"