refactor: 重构项目结构并更新依赖配置

- 移除原有的 docx_thesis 模块及其相关文件 (cli.py, config.py, converter.py)
- 新增 .claudeignore 文件以忽略 Python 生成文件和缓存
- 更新 .gitignore 文件添加更多忽略规则包括 .mypy_cache/, .ruff_cache/,
  .claude/, *.md 等
- 添加 README.md 使用说明文档
- 修改 pyproject.toml 依赖配置，新增 docxtpl、pyyaml，
  移除原 thesis 命令入口点并更新为 transit.__main__
- 新增 transit 模块及相应初始化文件
- 重命名 main.py 为快速入口脚本

transit/config.py

@@ -0,0 +1,63 @@
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Optional
+import tomllib
+
+
+@dataclass
+class ThesisConfig:
+    """论文配置数据（学生信息、元数据等，不包含正文内容）。"""
+
+    student_name: str = "<None>"
+    student_id: str = "<None>"
+    college: str = "<None>"
+    major: str = "<None>"
+    class_: str = "<None>"
+    advisor: str = "<None>"
+    advisor_title: str = "<None>"
+    title: str = "<None>"
+
+    title_from_md: bool = True
+    body_start_keywords: list[str] = field(default_factory=lambda: ["绪论", "引言"])
+    body_end_keywords: list[str] = field(
+        default_factory=lambda: ["致谢", "参考文献", "附录"]
+    )
+
+    def to_dict(self) -> dict:
+        """转成模板渲染用的扁平字典，排除 options 命名空间。"""
+        return {
+            "student_name": self.student_name,
+            "student_id": self.student_id,
+            "college": self.college,
+            "major": self.major,
+            "class": self.class_,
+            "advisor": self.advisor,
+            "advisor_title": self.advisor_title,
+            "title": self.title,
+        }
+
+
+def load_config(path: str | Path) -> ThesisConfig:
+    """从 TOML 文件加载论文配置。"""
+    path = Path(path)
+    with open(path, "rb") as f:
+        raw = tomllib.load(f)
+
+    meta = raw.get("metadata", {})
+    opts = raw.get("options", {})
+
+    return ThesisConfig(
+        student_name=meta.get("student_name", "<None>"),
+        student_id=meta.get("student_id", "<None>"),
+        college=meta.get("college", "<None>"),
+        major=meta.get("major", "<None>"),
+        class_=meta.get("class", "<None>"),
+        advisor=meta.get("advisor", "<None>"),
+        advisor_title=meta.get("advisor_title", "<None>"),
+        title=meta.get("title", "<None>"),
+        title_from_md=opts.get("title_from_md", True),
+        body_start_keywords=opts.get("body_start_keywords", ["绪论", "引言"]),
+        body_end_keywords=opts.get(
+            "body_end_keywords", ["致谢", "参考文献", "附录"]
+        ),
+    )