feat: commit some ai prompt

docs/PROMPT.txt

@@ -97,3 +97,34 @@ xthesis是一个结构化的XML格式，而LaTeX是一个线性文档，除少
 - XThesis格式的组建和写出可以从@src/xthesis.py 中获取
 - 配置文件的读取和验证可以从@src/config/latex2xthesis.py 中获取
 - 使用pylatexenc库进行latex格式解析（我已经帮你添加好了，不需要再添加了）
+
+
+
+
+
+
+
+
+# 执行流程
+
+- 使用pylatexenc的节点遍历功能，遍历LaTeX文档。
+- 在初始状态下，首先尝试匹配配置文件中preface，document，appendix，reference。一旦匹配成功，可视为进入当前内容的进一步分析。
+
+对于preface和appendix，进入即意味着进入section节点的分析，section节点的标题和内容会被分析。
+
+对于reference，进入即意味着进入section1节点的分析。
+
+对于document，进入则意味着准备
+
+# 注意事项
+
+注意到执行流程具有嵌套性和局部性，一旦进入某一特定元素，就按照该元素内部可能出现的情况进行分析，而不再考虑其他元素。因此我建议，实现时采用状态机，配以状态机上下文
+
+模式，栈顶部的元素为当前操作的元素。完成当前节点就弹出，发现新节点就压入。
+
+例如当前栈顶为paragraph元素，我接受到了一个figure元素，则立即将顶部的paragraph元素弹出，然后处理当前figure元素。因为figure元素不能位于自然段中，要自动断开自然段。
+
+对于command模式和environment模式，其内部节点可在分析过程中立即给出，guard模式和comment模式则必须要继续读取才能获取。你需要仔细评估这两种的区别，采用正确的方式来处理，我这里姑且有两种方式供你参考，我推荐第一种，如果第一种绝对不可行，再使用第二种：
+
+1. command和environment模式立即处理，guard和comment模式压入栈中进行处理，好处是内存用量比较小，坏处是写起来比较复杂
+1. 对于guard和comment模式，持续获取节点并暂存到一个list中，把他们转化到command和environment模式，然后一起处理。优点是非常简单，缺点是内存用量会比较大

docs/latex2xthesis.example.toml

@@ -0,0 +1,153 @@
+[preface]
+mode = "comment"
+comment-head = "region: preface"
+comment-tail = "endregion"
+
+[[preface.section]]
+mode = "environment"
+environment-keyword = "abstract"
+
+caption = "args[0]"
+body = "body"
+
+
+
+
+[document]
+mode = "comment"
+comment-head = "region: document"
+comment-tail = "endregion"
+
+[document.section1]
+mode = "guard"
+
+
+
+
+[appendix]
+mode = "comment"
+comment-head = "region: appendix"
+comment-tail = "endregion"
+
+[[preface.section]]
+mode = "guard"
+guard-head = "section"
+guard-tail = "abstract"
+
+caption = "args[0]"
+body = "body"
+
+
+
+
+[reference]
+mode = "command"
+command-keyword = "bibliography"
+
+body = "args[0]"
+
+
+
+
+
+[b]
+mode = "command"
+command-keyword = "textbf"
+
+body = "args[0]"
+
+[i]
+mode = "command"
+command-keyword = "textit"
+
+body = "args[0]"
+
+[ref]
+mode = "command"
+command-keyword = "ref"
+
+body = "args[0]"
+
+[cref]
+mode = "command"
+command-keyword = "cref"
+
+body = "args[0]"
+
+[cite]
+mode = "command"
+command-keyword = "cite"
+
+body = "args[0]"
+
+[equation]
+mode = "environment"
+environment-keyword = "equation"
+
+body = "body"
+
+[equation.caption]
+mode = "command"
+command-keyword = "caption"
+
+body = "args[0]"
+
+[equation.label]
+mode = "command"
+command-keyword = "label"
+
+body = "args[0]"
+
+[figure]
+mode = "environment"
+environment-keyword = "figure"
+
+body = "body"
+
+[figure.caption]
+mode = "command"
+command-keyword = "caption"
+
+body = "args[0]"
+
+[figure.label]
+mode = "command"
+command-keyword = "label"
+
+body = "args[0]"
+
+[table]
+mode = "environment"
+environment-keyword = "table"
+
+body = "body"
+
+[table.caption]
+mode = "command"
+command-keyword = "caption"
+
+body = "args[0]"
+
+[table.label]
+mode = "command"
+command-keyword = "label"
+
+body = "args[0]"
+
+[pagebreaker]
+mode = "command"
+command-keyword = "clearpage"
+
+
+
+
+
+
+
+
+
+
+
+
+
+