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完成多文档读取的脚本

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# Document Parser 使用说明
一个模块化的文档解析器,支持将 DOCX、PPTX 和 XLSX 文件转换为 Markdown 格式。
## 概述
该解析器按优先级尝试多种解析方法,确保最大兼容性:
1. **MarkItDown** (微软官方库) - 推荐使用,格式最规范
2. **python-docx / python-pptx / pandas** (成熟的 Python 库) - 输出最详细
3. **XML 原生解析** (备选方案) - 无需依赖
### 特性
- 支持 DOCX、PPTX 和 XLSX 格式
- 自动检测文件类型和有效性
- 保留文本格式(粗体、斜体、下划线)
- 提取表格并转换为 Markdown 格式
- 提取列表并保留层级结构
- 多种输出模式(字数、行数、标题、搜索等)
- 内容过滤和规范化
- 模块化设计,易于维护和扩展
## 文件结构
```
scripts/
├── common.py # 公共函数和常量
├── docx.py # DOCX 文件解析
├── pptx.py # PPTX 文件解析
├── xlsx.py # XLSX 文件解析
├── parser.py # 命令行入口
└── README.md # 本文档
```
## 依赖要求
### 基础运行XML 解析)
```bash
# Python 3.6+
uv run parser.py file.docx
```
### 使用 MarkItDown
```bash
# 使用 uv 自动安装
uv run --with markitdown parser.py file.docx
uv run --with markitdown parser.py file.pptx
uv run --with markitdown parser.py file.xlsx
# 或手动安装
pip install markitdown
```
### 使用专用库
```bash
# 使用 uv 自动安装
uv run --with python-docx parser.py file.docx
uv run --with python-pptx parser.py file.pptx
uv run --with pandas --with tabulate parser.py file.xlsx
# 或手动安装
pip install python-docx
pip install python-pptx
pip install pandas tabulate
```
### 所有依赖
```bash
# 安装所有解析库
uv run --with markitdown --with python-docx --with python-pptx --with pandas --with tabulate parser.py file.docx
```
## 命令行用法
### 基本语法
```bash
uv run parser.py <file_path> [options]
```
### 必需参数
- `file_path`: DOCX、PPTX 或 XLSX 文件的路径(相对或绝对路径)
### 可选参数(互斥组,一次只能使用一个)
| 参数 | 短选项 | 长选项 | 说明 |
|------|---------|---------|------|
| `-c` | `--count` | 返回解析后的 markdown 文档的总字数 |
| `-l` | `--lines` | 返回解析后的 markdown 文档的总行数 |
| `-t` | `--titles` | 返回解析后的 markdown 文档的标题行1-6级 |
| `-tc <name>` | `--title-content <name>` | 提取指定标题及其下级内容(不包含#号 |
| `-s <pattern>` | `--search <pattern>` | 使用正则表达式搜索文档,返回所有匹配结果(用---分隔) |
### 搜索上下文参数
- `-n <num>` / `--context <num>`: 与 `-s` 配合使用指定每个检索结果包含的前后行数默认2
## 使用示例
### 1. 输出完整 Markdown 内容
```bash
# 使用最佳可用解析器
uv run parser.py report.docx
# 输出到文件
uv run parser.py report.docx > output.md
# 使用特定依赖
uv run --with python-docx parser.py report.docx > output.md
```
### 2. 统计文档信息
```bash
# 统计字数
uv run --with markitdown parser.py report.docx -c
# 统计行数
uv run --with markitdown parser.py report.docx -l
```
### 3. 提取标题
```bash
# 提取所有标题
uv run --with python-docx parser.py report.docx -t
# 输出示例:
# 第一章 概述
## 1.1 背景
## 1.2 目标
# 第二章 实现
```
### 4. 提取特定标题内容
```bash
# 提取特定章节
uv run --with python-docx parser.py report.docx -tc "第一章"
# 输出该标题及其所有子内容
```
### 5. 搜索文档内容
```bash
# 搜索关键词
uv run --with markitdown parser.py report.docx -s "测试"
# 使用正则表达式
uv run --with markitdown parser.py report.docx -s "章节\s+\d+"
# 带上下文搜索前后各2行
uv run --with markitdown parser.py report.docx -s "重要内容" -n 2
# 输出示例:
---
这是重要内容的前两行
**重要内容**
这是重要内容后两行
---
```
## 解析器对比
### DOCX 解析器
| 解析器 | 优点 | 缺点 | 适用场景 |
|---------|------|--------|---------|
| **MarkItDown** | • 格式规范<br>• 微软官方支持<br>• 兼容性好 | • 需要安装<br>• 输出较简洁 | • 需要标准格式输出<br>• 自动化文档处理 |
| **python-docx** | • 输出最详细<br>• 保留完整结构<br>• 支持复杂样式 | • 需要安装<br>• 可能包含多余空行 | • 需要精确控制输出<br>• 分析文档结构 |
| **XML 原生** | • 无需依赖<br>• 运行速度快<br>• 输出原始内容 | • 格式可能不统一<br>• 样式处理有限 | • 依赖不可用时<br>• 快速提取内容 |
### PPTX 解析器
| 解析器 | 优点 | 缺点 | 适用场景 |
|---------|------|--------|---------|
| **MarkItDown** | • 格式规范<br>• 自动添加 Slide 分隔<br>• 输出简洁 | • 需要安装<br>• 详细度较低 | • 快速预览幻灯片<br>• 提取主要内容 |
| **python-pptx** | • 输出最详细<br>• 保留完整结构<br>• 支持层级列表 | • 需要安装<br>• 依赖私有 API | • 需要完整内容<br>• 分析演示结构 |
| **XML 原生** | • 无需依赖<br>• 结构化输出<br>• 运行速度快 | • 格式可能不统一<br>• 幻灯片分组简单 | • 依赖不可用时<br>• 结构化提取 |
### XLSX 解析器
| 解析器 | 优点 | 缺点 | 适用场景 |
|---------|------|--------|---------|
| **MarkItDown** | • 格式规范<br>• 支持多工作表<br>• 输出简洁 | • 需要安装<br>• 详细度较低 | • 快速预览表格<br>• 提取主要内容 |
| **pandas** | • 功能强大<br>• 支持复杂表格<br>• 数据处理灵活 | • 需要安装<br>• 依赖较多 | • 数据分析<br>• 复杂表格处理 |
| **XML 原生** | • 无需依赖<br>• 运行速度快<br>• 支持所有单元格类型 | • 格式可能不统一<br>• 无数据处理能力 | • 依赖不可用时<br>• 快速提取内容 |
## 输出格式
### Markdown 输出结构
```markdown
# 标题 1 (一级)
正文段落
## 标题 2 (二级)
- 列表项 1
- 列表项 2
1. 有序列表项 1
2. 有序列表项 2
| 列1 | 列2 | 列3 |
|------|------|------|
| 数据1 | 数据2 | 数据3 |
**粗体文本** *斜体文本* <u>下划线文本</u>
```
### PPTX 特有格式
```markdown
## Slide 1
幻灯片 1 的内容
## Slide 2
表格内容
幻灯片 2 的内容
---
```
### XLSX 特有格式
```markdown
# Excel数据转换结果
来源: /path/to/file.xlsx
## Sheet1
| 列1 | 列2 | 列3 |
|------|------|------|
| 数据1 | 数据2 | 数据3 |
```
### 标题格式
- 标题使用 Markdown 井号语法:`#``######`1-6级
- 标题名称不包含井号
- 段落通过空行分隔
### 表格格式
```markdown
| 列1 | 列2 | 列3 |
|------|------|------|
| 数据1 | 数据2 | 数据3 |
```
### 列表格式
- 无序列表:使用 `-` 前缀
- 有序列表:使用 `1.` 前缀
- 支持多层缩进(使用空格)
## 内容处理
### 自动处理
1. **图片移除**:自动删除 Markdown 图片语法
2. **空行规范化**:合并连续空行为单个空行
3. **样式标签过滤**:移除 HTML span 标签
4. **RGB 颜色过滤**:移除颜色代码行
### 过滤规则filter_markdown_content
- 保留:文本、表格、列表、基本格式
- 移除:
- HTML 注释 (`<!-- ... -->`)
- Markdown 图片 (`![alt](url)`)
- HTML 图片标签 (`<img>`, `</img>`)
- 媒体链接 (`[text](file.ext)`)
- RGB 颜色代码 (`R:255 G:255 B:255`)
- 标准化:多余空格合并为单个空格
## 错误处理
### 文件验证
```bash
# 文件不存在
错误: 文件不存在: missing.docx
# 无效格式
错误: 不是有效的 DOCX、PPTX 或 XLSX 格式: invalid.txt
```
### 解析器回退
脚本按优先级尝试解析器,如果失败则自动尝试下一个:
```
所有解析方法均失败:
- MarkItDown: 库未安装
- python-docx: 解析失败: ...
- XML 原生解析: document.xml 不存在或无法访问
```
### 搜索错误
```bash
# 无效正则
错误: 正则表达式无效或未找到匹配: '[invalid'
# 标题未找到
错误: 未找到标题 '不存在的标题'
```
## 高级用法
### 结合 uv 运行
```bash
# 自动安装依赖并运行
uv run --with markitdown --with python-docx parser.py report.docx
# 输出到文件
uv run --with python-docx parser.py report.docx > output.md
```
### 批量处理
```bash
# 使用 find 或 glob 批量处理
for file in *.docx; do
uv run --with markitdown parser.py "$file" > "${file%.docx}.md"
done
# Windows PowerShell
Get-ChildItem *.docx | ForEach-Object {
uv run --with markitdown parser.py $_.FullName > ($_.BaseName + ".md")
}
```
### 管道使用
```bash
# 进一步处理 Markdown 输出
uv run --with markitdown parser.py report.docx | grep "重要" > important.md
# 统计处理
uv run --with markitdown parser.py report.docx -l | awk '{print $1}'
```
## 常见问题
### Q: 为什么有些内容没有提取到?
A: 不同解析器的输出详细度不同:
- `python-docx` / `python-pptx` 输出最详细
- `MarkItDown` 输出较简洁
- `XML 原生` 输出原始内容
如需完整内容,尝试使用专用库解析器。
### Q: 表格格式不正确?
A: 确保原始文档中的表格结构完整。XML 解析器可能无法处理复杂表格。
### Q: 中文显示乱码?
A: 脚本输出使用 UTF-8 编码。确保终端支持 UTF-8
```bash
# Linux/Mac
export LANG=en_US.UTF-8
# Windows PowerShell
[Console]::OutputEncoding = [System.Text.Encoding]::UTF8
```
### Q: 如何只使用特定解析器?
A: 当前版本自动选择最佳可用解析器。可以通过注释代码中的解析器列表来限制,或安装/卸载特定依赖。
### Q: 大文件处理慢?
A: 大文件建议使用 XML 原生解析(最快),或在脚本外部处理。
## 性能参考
基于测试文件的参考数据:
### DOCX (test.docx)
| 解析器 | 字符数 | 行数 | 相对速度 |
|---------|--------|------|---------|
| MarkItDown | ~8,500 | ~123 | 快 |
| python-docx | ~8,500 | ~123 | 中 |
| XML 原生 | ~8,500 | ~123 | 快 |
### PPTX (test.pptx)
| 解析器 | 字符数 | 行数 | 相对速度 |
|---------|--------|------|---------|
| MarkItDown | ~2,500 | ~257 | 快 |
| python-pptx | ~2,500 | ~257 | 中 |
| XML 原生 | ~2,500 | ~257 | 快 |
### XLSX (test.xlsx)
| 解析器 | 字符数 | 行数 | 相对速度 |
|---------|--------|------|---------|
| MarkItDown | ~6,000 | ~109 | 快 |
| pandas | ~6,000 | ~109 | 中 |
| XML 原生 | ~6,000 | ~109 | 快 |
## 代码风格
脚本遵循以下代码风格:
- Python 3.6+ 兼容
- 遵循 PEP 8 规范
- 所有公共 API 函数添加类型提示
- 字符串优先内联使用不提取为常量除非被使用超过3次
- 其他被多次使用的对象根据具体情况可考虑被提取为常量(如正则表达式)
- 模块级和公共 API 函数保留文档字符串
- 内部辅助函数不添加文档字符串(函数名足够描述)
- 变量命名清晰,避免单字母变量名
## 许可证
脚本遵循 PEP 8 规范Python 3.6+ 兼容。
## 更新日志
### 最新版本
- 将单体脚本拆分为模块化结构common.py, docx.py, pptx.py, xlsx.py, parser.py
- 添加 XLSX 文件支持
- 增强错误处理(文件存在性检查、无效格式检测)
- 完善文档和示例
- 使用 uv 进行依赖管理和运行
- 所有模块通过语法检查和功能测试

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#!/usr/bin/env python3
"""文档解析器的公共模块,包含所有格式共享的工具函数和验证函数。"""
import os
import re
import zipfile
from typing import List, Optional, Tuple
IMAGE_PATTERN = re.compile(r"!\[[^\]]*\]\([^)]+\)")
MEDIA_LINK_PATTERN = re.compile(
r'^\[.*?\]\(.*\.(png|jpg|jpeg|gif|mp4|avi|mov|pdf)\s*["\']?.*?["\']?\)$'
)
RGB_COLOR_PATTERN = re.compile(r"^R:\d+\s+G:\d+\s+B:\d+$")
def build_markdown_table(rows_data: List[List[str]]) -> str:
"""将二维列表转换为 Markdown 表格格式"""
if not rows_data or not rows_data[0]:
return ""
md_lines = []
for i, row_data in enumerate(rows_data):
row_text = [cell if cell else "" for cell in row_data]
md_lines.append("| " + " | ".join(row_text) + " |")
if i == 0:
md_lines.append("|" + " | ".join(["---"] * len(row_text)) + " |")
return "\n".join(md_lines) + "\n\n"
def flush_list_stack(list_stack: List[str], target: List[str]) -> None:
"""将列表堆栈中的非空项添加到目标列表并清空堆栈"""
for item in list_stack:
if item:
target.append(item + "\n")
list_stack.clear()
def safe_open_zip(zip_file: zipfile.ZipFile, name: str) -> Optional[zipfile.ZipExtFile]:
"""安全地从 ZipFile 中打开文件,防止路径遍历攻击"""
if not name:
return None
if name.startswith("/") or name.startswith("\\"):
return None
if name.startswith(".."):
return None
if "/../" in name or name.endswith("/.."):
return None
if "\\" in name:
return None
if "/" not in name:
return None
return zip_file.open(name)
def normalize_markdown_whitespace(content: str) -> str:
"""规范化 Markdown 空白字符,保留单行空行"""
lines = content.split("\n")
result = []
empty_count = 0
for line in lines:
stripped = line.strip()
if not stripped:
empty_count += 1
if empty_count == 1:
result.append(line)
else:
empty_count = 0
result.append(line)
return "\n".join(result)
def is_valid_docx(file_path: str) -> bool:
"""验证文件是否为有效的 DOCX 格式"""
try:
with zipfile.ZipFile(file_path, "r") as zip_file:
required_files = ["[Content_Types].xml", "_rels/.rels", "word/document.xml"]
for required in required_files:
if required not in zip_file.namelist():
return False
return True
except (zipfile.BadZipFile, zipfile.LargeZipFile):
return False
def is_valid_pptx(file_path: str) -> bool:
"""验证文件是否为有效的 PPTX 格式"""
try:
with zipfile.ZipFile(file_path, "r") as zip_file:
required_files = [
"[Content_Types].xml",
"_rels/.rels",
"ppt/presentation.xml",
]
for required in required_files:
if required not in zip_file.namelist():
return False
return True
except (zipfile.BadZipFile, zipfile.LargeZipFile):
return False
def is_valid_xlsx(file_path: str) -> bool:
"""验证文件是否为有效的 XLSX 格式"""
try:
with zipfile.ZipFile(file_path, "r") as zip_file:
required_files = ["[Content_Types].xml", "_rels/.rels", "xl/workbook.xml"]
for required in required_files:
if required not in zip_file.namelist():
return False
return True
except (zipfile.BadZipFile, zipfile.LargeZipFile):
return False
def remove_markdown_images(markdown_text: str) -> str:
"""移除 Markdown 文本中的图片标记"""
return IMAGE_PATTERN.sub("", markdown_text)
def filter_markdown_content(content: str) -> str:
"""过滤 markdown 内容,保留文本、表格、列表和基本格式"""
lines = content.split("\n")
filtered_lines = []
for line in lines:
stripped = line.strip()
if not stripped:
continue
if stripped.startswith("<!--") and stripped.endswith("-->"):
continue
if stripped.startswith("![") or stripped.startswith("![]"):
continue
if "<img" in stripped or "</img>" in stripped:
continue
if MEDIA_LINK_PATTERN.match(stripped):
continue
if RGB_COLOR_PATTERN.match(stripped):
continue
line = re.sub(r'<span[^>]*style="[^"]*"[^>]*>(.*?)</span>', r"\1", line)
line = re.sub(r"<span[^>]*>(.*?)</span>", r"\1", line)
line = re.sub(r"\s+", " ", line).strip()
if line:
filtered_lines.append(line)
return "\n".join(filtered_lines)
def get_heading_level(line: str) -> int:
"""获取 Markdown 行的标题级别1-6非标题返回 0"""
stripped = line.lstrip()
if not stripped.startswith("#"):
return 0
level = 0
for char in stripped:
if char == "#":
level += 1
else:
break
return level if 1 <= level <= 6 else 0
def extract_titles(markdown_text: str) -> List[str]:
"""提取 markdown 文本中的所有标题行1-6级"""
title_lines = []
for line in markdown_text.split("\n"):
if get_heading_level(line) > 0:
title_lines.append(line.lstrip())
return title_lines
def extract_title_content(markdown_text: str, title_name: str) -> Optional[str]:
"""提取所有指定标题及其下级内容(每个包含上级标题)"""
lines = markdown_text.split("\n")
match_indices = []
for i, line in enumerate(lines):
level = get_heading_level(line)
if level > 0:
stripped = line.lstrip()
title_text = stripped[level:].strip()
if title_text == title_name:
match_indices.append(i)
if not match_indices:
return None
result_lines = []
for idx in match_indices:
target_level = get_heading_level(lines[idx])
parent_titles = []
current_level = target_level
for i in range(idx - 1, -1, -1):
line_level = get_heading_level(lines[i])
if line_level > 0 and line_level < current_level:
parent_titles.append(lines[i])
current_level = line_level
if current_level == 1:
break
parent_titles.reverse()
result_lines.extend(parent_titles)
result_lines.append(lines[idx])
for i in range(idx + 1, len(lines)):
line = lines[i]
line_level = get_heading_level(line)
if line_level == 0 or line_level > target_level:
result_lines.append(line)
else:
break
return "\n".join(result_lines)
def search_markdown(
content: str, pattern: str, context_lines: int = 0
) -> Optional[str]:
"""使用正则表达式搜索 markdown 文档,返回匹配结果及其上下文"""
try:
regex = re.compile(pattern)
except re.error:
return None
lines = content.split("\n")
non_empty_indices = []
non_empty_to_original = {}
for i, line in enumerate(lines):
if line.strip():
non_empty_indices.append(i)
non_empty_to_original[i] = len(non_empty_indices) - 1
matched_non_empty_indices = []
for orig_idx in non_empty_indices:
if regex.search(lines[orig_idx]):
matched_non_empty_indices.append(non_empty_to_original[orig_idx])
if not matched_non_empty_indices:
return None
merged_ranges = []
current_start = matched_non_empty_indices[0]
current_end = matched_non_empty_indices[0]
for idx in matched_non_empty_indices[1:]:
if idx - current_end <= context_lines * 2:
current_end = idx
else:
merged_ranges.append((current_start, current_end))
current_start = idx
current_end = idx
merged_ranges.append((current_start, current_end))
results = []
for start, end in merged_ranges:
context_start_idx = max(0, start - context_lines)
context_end_idx = min(len(non_empty_indices) - 1, end + context_lines)
start_line_idx = non_empty_indices[context_start_idx]
end_line_idx = non_empty_indices[context_end_idx]
selected_indices = set(
non_empty_indices[context_start_idx : context_end_idx + 1]
)
result_lines = [
line
for i, line in enumerate(lines)
if start_line_idx <= i <= end_line_idx
and (line.strip() or i in selected_indices)
]
results.append("\n".join(result_lines))
return "\n---\n".join(results)
def detect_file_type(file_path: str) -> Optional[str]:
"""检测文件类型,返回 'docx''pptx''xlsx'"""
_, ext = os.path.splitext(file_path)
ext = ext.lower()
if ext == ".docx":
if is_valid_docx(file_path):
return "docx"
elif ext == ".pptx":
if is_valid_pptx(file_path):
return "pptx"
elif ext == ".xlsx":
if is_valid_xlsx(file_path):
return "xlsx"
return None

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#!/usr/bin/env python3
"""DOCX 文件解析模块,提供三种解析方法。"""
import xml.etree.ElementTree as ET
import zipfile
from typing import Any, List, Optional, Tuple
from common import build_markdown_table, safe_open_zip
def parse_docx_with_markitdown(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 MarkItDown 库解析 DOCX 文件"""
try:
from markitdown import MarkItDown
md = MarkItDown()
result = md.convert(file_path)
if not result.text_content.strip():
return None, "文档为空"
return result.text_content, None
except ImportError:
return None, "MarkItDown 库未安装"
except Exception as e:
return None, f"MarkItDown 解析失败: {str(e)}"
def parse_docx_with_python_docx(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 python-docx 库解析 DOCX 文件"""
try:
from docx import Document
except ImportError:
return None, "python-docx 库未安装"
try:
doc = Document(file_path)
def get_heading_level(para: Any) -> int:
if para.style and para.style.name:
style_name = para.style.name
if "Heading 1" in style_name or "Title" in style_name:
return 1
elif "Heading 2" in style_name:
return 2
elif "Heading 3" in style_name:
return 3
elif "Heading 4" in style_name:
return 4
elif "Heading 5" in style_name:
return 5
elif "Heading 6" in style_name:
return 6
return 0
def get_list_style(para: Any) -> Optional[str]:
if not para.style or not para.style.name:
return None
style_name = para.style.name
if style_name.startswith("List Bullet") or style_name == "Bullet":
return "bullet"
elif style_name.startswith("List Number") or style_name == "Number":
return "number"
return None
def convert_runs_to_markdown(runs: List[Any]) -> str:
result = []
for run in runs:
text = run.text
if not text:
continue
if run.bold:
text = f"**{text}**"
if run.italic:
text = f"*{text}*"
if run.underline:
text = f"<u>{text}</u>"
result.append(text)
return "".join(result)
def convert_table_to_markdown(table: Any) -> str:
rows_data = []
for row in table.rows:
row_data = []
for cell in row.cells:
cell_text = cell.text.strip().replace("\n", " ")
row_data.append(cell_text)
rows_data.append(row_data)
return build_markdown_table(rows_data)
markdown_lines = []
prev_was_list = False
for para in doc.paragraphs:
text = convert_runs_to_markdown(para.runs)
if not text.strip():
continue
heading_level = get_heading_level(para)
if heading_level > 0:
markdown_lines.append(f"{'#' * heading_level} {text}")
prev_was_list = False
else:
list_style = get_list_style(para)
if list_style == "bullet":
if not prev_was_list and markdown_lines:
markdown_lines.append("")
markdown_lines.append(f"- {text}")
prev_was_list = True
elif list_style == "number":
if not prev_was_list and markdown_lines:
markdown_lines.append("")
markdown_lines.append(f"1. {text}")
prev_was_list = True
else:
if prev_was_list and markdown_lines:
markdown_lines.append("")
markdown_lines.append(text)
markdown_lines.append("")
prev_was_list = False
for table in doc.tables:
table_md = convert_table_to_markdown(table)
markdown_lines.append(table_md)
markdown_lines.append("")
content = "\n".join(markdown_lines)
if not content.strip():
return None, "文档为空"
return content, None
except Exception as e:
return None, f"python-docx 解析失败: {str(e)}"
def parse_docx_with_xml(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 XML 原生解析 DOCX 文件"""
word_namespace = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
namespaces = {"w": word_namespace}
def get_heading_level(style_id: Optional[str], style_to_level: dict) -> int:
return style_to_level.get(style_id, 0)
def get_list_style(style_id: Optional[str], style_to_list: dict) -> Optional[str]:
return style_to_list.get(style_id, None)
def extract_text_with_formatting(para: Any, namespaces: dict) -> str:
texts = []
for run in para.findall(".//w:r", namespaces=namespaces):
text_elem = run.find(".//w:t", namespaces=namespaces)
if text_elem is not None and text_elem.text:
text = text_elem.text
bold = run.find(".//w:b", namespaces=namespaces) is not None
italic = run.find(".//w:i", namespaces=namespaces) is not None
if bold:
text = f"**{text}**"
if italic:
text = f"*{text}*"
texts.append(text)
return "".join(texts).strip()
def convert_table_to_markdown(table_elem: Any, namespaces: dict) -> str:
rows = table_elem.findall(".//w:tr", namespaces=namespaces)
if not rows:
return ""
md_lines = []
for i, row in enumerate(rows):
cells = row.findall(".//w:tc", namespaces=namespaces)
cell_texts = []
for cell in cells:
cell_text = extract_text_with_formatting(cell, namespaces)
cell_text = cell_text.replace("\n", " ").strip()
cell_texts.append(cell_text if cell_text else "")
if cell_texts:
md_line = "| " + " | ".join(cell_texts) + " |"
md_lines.append(md_line)
if i == 0:
sep_line = "| " + " | ".join(["---"] * len(cell_texts)) + " |"
md_lines.append(sep_line)
return "\n".join(md_lines)
try:
style_to_level = {}
style_to_list = {}
markdown_lines = []
with zipfile.ZipFile(file_path) as zip_file:
try:
styles_file = safe_open_zip(zip_file, "word/styles.xml")
if styles_file:
styles_root = ET.parse(styles_file).getroot()
for style in styles_root.findall(
".//w:style", namespaces=namespaces
):
style_id = style.get(f"{{{word_namespace}}}styleId")
style_name_elem = style.find("w:name", namespaces=namespaces)
if style_id and style_name_elem is not None:
style_name = style_name_elem.get(f"{{{word_namespace}}}val")
if style_name:
if style_name == "Title":
style_to_level[style_id] = 1
elif style_name == "heading 1":
style_to_level[style_id] = 1
elif style_name == "heading 2":
style_to_level[style_id] = 2
elif style_name == "heading 3":
style_to_level[style_id] = 3
elif style_name == "heading 4":
style_to_level[style_id] = 4
elif style_name == "heading 5":
style_to_level[style_id] = 5
elif style_name == "heading 6":
style_to_level[style_id] = 6
elif (
style_name.startswith("List Bullet")
or style_name == "Bullet"
):
style_to_list[style_id] = "bullet"
elif (
style_name.startswith("List Number")
or style_name == "Number"
):
style_to_list[style_id] = "number"
except Exception:
pass
document_file = safe_open_zip(zip_file, "word/document.xml")
if not document_file:
return None, "document.xml 不存在或无法访问"
root = ET.parse(document_file).getroot()
body = root.find(".//w:body", namespaces=namespaces)
if body is None:
return None, "document.xml 中未找到 w:body 元素"
for child in body.findall("./*", namespaces=namespaces):
if child.tag.endswith("}p"):
style_elem = child.find(".//w:pStyle", namespaces=namespaces)
style_id = (
style_elem.get(f"{{{word_namespace}}}val")
if style_elem is not None
else None
)
heading_level = get_heading_level(style_id, style_to_level)
list_style = get_list_style(style_id, style_to_list)
para_text = extract_text_with_formatting(child, namespaces)
if para_text:
if heading_level > 0:
markdown_lines.append(f"{'#' * heading_level} {para_text}")
elif list_style == "bullet":
markdown_lines.append(f"- {para_text}")
elif list_style == "number":
markdown_lines.append(f"1. {para_text}")
else:
markdown_lines.append(para_text)
markdown_lines.append("")
elif child.tag.endswith("}tbl"):
table_md = convert_table_to_markdown(child, namespaces)
if table_md:
markdown_lines.append(table_md)
markdown_lines.append("")
content = "\n".join(markdown_lines)
if not content.strip():
return None, "文档为空"
return content, None
except Exception as e:
return None, f"XML 解析失败: {str(e)}"

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#!/usr/bin/env python3
"""文档解析器命令行交互模块,提供命令行接口。"""
import argparse
import os
import sys
import common
import docx
import pptx
import xlsx
def main() -> None:
parser = argparse.ArgumentParser(
description="将 DOCX、PPTX 或 XLSX 文件解析为 Markdown"
)
parser.add_argument("file_path", help="DOCX、PPTX 或 XLSX 文件的绝对路径")
parser.add_argument(
"-n",
"--context",
type=int,
default=2,
help="与 -s 配合使用,指定每个检索结果包含的前后行数(不包含空行)",
)
group = parser.add_mutually_exclusive_group()
group.add_argument(
"-c", "--count", action="store_true", help="返回解析后的 markdown 文档的总字数"
)
group.add_argument(
"-l", "--lines", action="store_true", help="返回解析后的 markdown 文档的总行数"
)
group.add_argument(
"-t",
"--titles",
action="store_true",
help="返回解析后的 markdown 文档的标题行1-6级",
)
group.add_argument(
"-tc",
"--title-content",
help="指定标题名称,输出该标题及其下级内容(不包含#号)",
)
group.add_argument(
"-s",
"--search",
help="使用正则表达式搜索文档,返回所有匹配结果(用---分隔)",
)
args = parser.parse_args()
if not os.path.exists(args.file_path):
print(f"错误: 文件不存在: {args.file_path}")
sys.exit(1)
file_type = common.detect_file_type(args.file_path)
if not file_type:
print(f"错误: 不是有效的 DOCX、PPTX 或 XLSX 格式: {args.file_path}")
sys.exit(1)
if file_type == "docx":
parsers = [
("MarkItDown", docx.parse_docx_with_markitdown),
("python-docx", docx.parse_docx_with_python_docx),
("XML 原生解析", docx.parse_docx_with_xml),
]
elif file_type == "pptx":
parsers = [
("MarkItDown", pptx.parse_pptx_with_markitdown),
("python-pptx", pptx.parse_pptx_with_python_pptx),
("XML 原生解析", pptx.parse_pptx_with_xml),
]
else:
parsers = [
("MarkItDown", xlsx.parse_xlsx_with_markitdown),
("pandas", xlsx.parse_xlsx_with_pandas),
("XML 原生解析", xlsx.parse_xlsx_with_xml),
]
failures = []
content = None
for parser_name, parser_func in parsers:
content, error = parser_func(args.file_path)
if content is not None:
content = common.remove_markdown_images(content)
content = common.normalize_markdown_whitespace(content)
break
else:
failures.append(f"- {parser_name}: {error}")
if content is None:
print("所有解析方法均失败:")
for failure in failures:
print(failure)
sys.exit(1)
if args.count:
print(len(content.replace("\n", "")))
elif args.lines:
print(len(content.split("\n")))
elif args.titles:
titles = common.extract_titles(content)
for title in titles:
print(title)
elif args.title_content:
title_content = common.extract_title_content(content, args.title_content)
if title_content is None:
print(f"错误: 未找到标题 '{args.title_content}'")
sys.exit(1)
print(title_content, end="")
elif args.search:
search_result = common.search_markdown(content, args.search, args.context)
if search_result is None:
print(f"错误: 正则表达式无效或未找到匹配: '{args.search}'")
sys.exit(1)
print(search_result, end="")
else:
print(content, end="")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""PPTX 文件解析模块,提供三种解析方法。"""
import re
import xml.etree.ElementTree as ET
import zipfile
from typing import Any, List, Optional, Tuple
from common import build_markdown_table, filter_markdown_content, flush_list_stack
def parse_pptx_with_markitdown(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 MarkItDown 库解析 PPTX 文件"""
try:
from markitdown import MarkItDown
md = MarkItDown()
result = md.convert(file_path)
if not result.text_content.strip():
return None, "文档为空"
filtered_content = filter_markdown_content(result.text_content)
if not filtered_content.strip():
return None, "过滤后文档为空"
return filtered_content, None
except ImportError:
return None, "MarkItDown 库未安装"
except Exception as e:
return None, f"MarkItDown 解析失败: {str(e)}"
def extract_formatted_text_pptx(runs: List[Any]) -> str:
"""从 PPTX 文本运行中提取带有格式的文本"""
result = []
for run in runs:
if not run.text:
continue
text = run.text
font = run.font
is_bold = getattr(font, "bold", False) or False
is_italic = getattr(font, "italic", False) or False
if is_bold and is_italic:
text = f"***{text}***"
elif is_bold:
text = f"**{text}**"
elif is_italic:
text = f"*{text}*"
result.append(text)
return "".join(result).strip()
def convert_table_to_md_pptx(table: Any) -> str:
"""将 PPTX 表格转换为 Markdown 格式"""
rows_data = []
for row in table.rows:
row_data = []
for cell in row.cells:
cell_content = []
for para in cell.text_frame.paragraphs:
text = extract_formatted_text_pptx(para.runs)
if text:
cell_content.append(text)
cell_text = " ".join(cell_content).strip()
row_data.append(cell_text if cell_text else "")
rows_data.append(row_data)
return build_markdown_table(rows_data)
def parse_pptx_with_python_pptx(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 python-pptx 库解析 PPTX 文件"""
try:
from pptx import Presentation
from pptx.enum.shapes import MSO_SHAPE_TYPE
except ImportError:
return None, "python-pptx 库未安装"
try:
prs = Presentation(file_path)
md_content = []
for slide_num, slide in enumerate(prs.slides, 1):
md_content.append(f"\n## Slide {slide_num}\n")
list_stack = []
for shape in slide.shapes:
if shape.shape_type == MSO_SHAPE_TYPE.PICTURE:
continue
if hasattr(shape, "has_table") and shape.has_table:
if list_stack:
md_content.append(
"\n" + "\n".join([x for x in list_stack if x]) + "\n"
)
list_stack.clear()
table_md = convert_table_to_md_pptx(shape.table)
md_content.append(table_md)
if hasattr(shape, "text_frame"):
for para in shape.text_frame.paragraphs:
pPr = para._element.pPr
is_list = False
if pPr is not None:
is_list = (
para.level > 0
or pPr.find(
".//a:buChar",
namespaces={
"a": "http://schemas.openxmlformats.org/drawingml/2006/main"
},
)
is not None
or pPr.find(
".//a:buAutoNum",
namespaces={
"a": "http://schemas.openxmlformats.org/drawingml/2006/main"
},
)
is not None
)
if is_list:
level = para.level
while len(list_stack) <= level:
list_stack.append("")
text = extract_formatted_text_pptx(para.runs)
if text:
pPr = para._element.pPr
is_ordered = (
pPr is not None
and pPr.find(
".//a:buAutoNum",
namespaces={
"a": "http://schemas.openxmlformats.org/drawingml/2006/main"
},
)
is not None
)
marker = "1. " if is_ordered else "- "
indent = " " * level
list_stack[level] = f"{indent}{marker}{text}"
for i in range(len(list_stack)):
if list_stack[i]:
md_content.append(list_stack[i] + "\n")
list_stack[i] = ""
else:
if list_stack:
md_content.append(
"\n"
+ "\n".join([x for x in list_stack if x])
+ "\n"
)
list_stack.clear()
text = extract_formatted_text_pptx(para.runs)
if text:
md_content.append(f"{text}\n")
if list_stack:
md_content.append("\n" + "\n".join([x for x in list_stack if x]) + "\n")
list_stack.clear()
md_content.append("---\n")
content = "\n".join(md_content)
if not content.strip():
return None, "文档为空"
return content, None
except Exception as e:
return None, f"python-pptx 解析失败: {str(e)}"
def parse_pptx_with_xml(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 XML 原生解析 PPTX 文件"""
pptx_namespace = {
"a": "http://schemas.openxmlformats.org/drawingml/2006/main",
"p": "http://schemas.openxmlformats.org/presentationml/2006/main",
"r": "http://schemas.openxmlformats.org/officeDocument/2006/relationships",
}
def extract_text_with_formatting_xml(text_elem: Any, namespaces: dict) -> str:
result = []
runs = text_elem.findall(".//a:r", namespaces=namespaces)
for run in runs:
t_elem = run.find(".//a:t", namespaces=namespaces)
if t_elem is None or not t_elem.text:
continue
text = t_elem.text
rPr = run.find(".//a:rPr", namespaces=namespaces)
is_bold = False
is_italic = False
if rPr is not None:
is_bold = rPr.find(".//a:b", namespaces=namespaces) is not None
is_italic = rPr.find(".//a:i", namespaces=namespaces) is not None
if is_bold and is_italic:
text = f"***{text}***"
elif is_bold:
text = f"**{text}**"
elif is_italic:
text = f"*{text}*"
result.append(text)
return "".join(result).strip() if result else ""
def convert_table_to_md_xml(table_elem: Any, namespaces: dict) -> str:
rows = table_elem.findall(".//a:tr", namespaces=namespaces)
if not rows:
return ""
rows_data = []
for row in rows:
cells = row.findall(".//a:tc", namespaces=namespaces)
row_data = []
for cell in cells:
cell_text = extract_text_with_formatting_xml(cell, namespaces)
if cell_text:
cell_text = cell_text.replace("\n", " ").replace("\r", "")
row_data.append(cell_text if cell_text else "")
rows_data.append(row_data)
return build_markdown_table(rows_data)
def is_list_item_xml(p_elem: Any, namespaces: dict) -> Tuple[bool, bool]:
if p_elem is None:
return False, False
pPr = p_elem.find(".//a:pPr", namespaces=namespaces)
if pPr is None:
return False, False
buChar = pPr.find(".//a:buChar", namespaces=namespaces)
if buChar is not None:
return True, False
buAutoNum = pPr.find(".//a:buAutoNum", namespaces=namespaces)
if buAutoNum is not None:
return True, True
return False, False
def get_indent_level_xml(p_elem: Any, namespaces: dict) -> int:
if p_elem is None:
return 0
pPr = p_elem.find(".//a:pPr", namespaces=namespaces)
if pPr is None:
return 0
lvl = pPr.get("lvl")
return int(lvl) if lvl else 0
try:
md_content = []
with zipfile.ZipFile(file_path) as zip_file:
slide_files = [
f
for f in zip_file.namelist()
if re.match(r"ppt/slides/slide\d+\.xml$", f)
]
for slide_idx, slide_file in enumerate(slide_files, 1):
md_content.append("\n## Slide {}\n".format(slide_idx))
with zip_file.open(slide_file) as slide_xml:
slide_root = ET.parse(slide_xml).getroot()
tx_bodies = slide_root.findall(
".//p:sp/p:txBody", namespaces=pptx_namespace
)
tables = slide_root.findall(".//a:tbl", namespaces=pptx_namespace)
for table in tables:
table_md = convert_table_to_md_xml(table, pptx_namespace)
if table_md:
md_content.append(table_md)
for tx_body in tx_bodies:
paragraphs = tx_body.findall(
".//a:p", namespaces=pptx_namespace
)
list_stack = []
for para in paragraphs:
is_list, is_ordered = is_list_item_xml(para, pptx_namespace)
if is_list:
level = get_indent_level_xml(para, pptx_namespace)
while len(list_stack) <= level:
list_stack.append("")
text = extract_text_with_formatting_xml(
para, pptx_namespace
)
if text:
marker = "1. " if is_ordered else "- "
indent = " " * level
list_stack[level] = f"{indent}{marker}{text}"
for i in range(len(list_stack)):
if list_stack[i]:
md_content.append(list_stack[i] + "\n")
list_stack[i] = ""
else:
if list_stack:
flush_list_stack(list_stack, md_content)
text = extract_text_with_formatting_xml(
para, pptx_namespace
)
if text:
md_content.append(f"{text}\n")
if list_stack:
flush_list_stack(list_stack, md_content)
md_content.append("---\n")
content = "\n".join(md_content)
if not content.strip():
return None, "文档为空"
return content, None
except Exception as e:
return None, f"XML 解析失败: {str(e)}"

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#!/usr/bin/env python3
"""XLSX 文件解析模块,提供三种解析方法。"""
import xml.etree.ElementTree as ET
import zipfile
from typing import List, Optional, Tuple
def parse_xlsx_with_markitdown(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 MarkItDown 库解析 XLSX 文件"""
try:
from markitdown import MarkItDown
md = MarkItDown()
result = md.convert(file_path)
if not result.text_content.strip():
return None, "文档为空"
return result.text_content, None
except ImportError:
return None, "MarkItDown 库未安装"
except Exception as e:
return None, f"MarkItDown 解析失败: {str(e)}"
def parse_xlsx_with_pandas(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 pandas 库解析 XLSX 文件"""
try:
import pandas as pd
from tabulate import tabulate
except ImportError as e:
missing_lib = "pandas" if "pandas" in str(e) else "tabulate"
return None, f"{missing_lib} 库未安装"
try:
df = pd.read_excel(file_path)
if len(df) == 0:
return None, "Excel 文件为空"
markdown_content = tabulate(
df, headers="keys", tablefmt="pipe", showindex=True, missingval=""
)
markdown_with_header = (
f"# Excel数据转换结果\n\n来源: {file_path}\n\n{markdown_content}"
)
return markdown_with_header, None
except Exception as e:
return None, f"pandas 解析失败: {str(e)}"
def parse_xlsx_with_xml(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 XML 原生解析 XLSX 文件"""
xlsx_namespace = {
"main": "http://schemas.openxmlformats.org/spreadsheetml/2006/main"
}
def parse_col_index(cell_ref: str) -> int:
col_index = 0
for char in cell_ref:
if char.isalpha():
col_index = col_index * 26 + (ord(char) - ord("A") + 1)
else:
break
return col_index - 1
def parse_cell_value(cell: ET.Element, shared_strings: List[str]) -> str:
cell_type = cell.attrib.get("t")
cell_value_elem = cell.find("main:v", xlsx_namespace)
if cell_value_elem is not None and cell_value_elem.text:
cell_value = cell_value_elem.text
if cell_type == "s":
try:
idx = int(cell_value)
if 0 <= idx < len(shared_strings):
text = shared_strings[idx]
return text.replace("\n", " ").replace("\r", "")
except (ValueError, IndexError):
pass
return ""
elif cell_type == "b":
return "TRUE" if cell_value == "1" else "FALSE"
elif cell_type == "str":
return cell_value.replace("\n", " ").replace("\r", "")
elif cell_type == "inlineStr":
is_elem = cell.find("main:is", xlsx_namespace)
if is_elem is not None:
t_elem = is_elem.find("main:t", xlsx_namespace)
if t_elem is not None and t_elem.text:
return t_elem.text.replace("\n", " ").replace("\r", "")
return ""
elif cell_type == "e":
error_codes = {
"#NULL!": "空引用错误",
"#DIV/0!": "除零错误",
"#VALUE!": "值类型错误",
"#REF!": "无效引用",
"#NAME?": "名称错误",
"#NUM!": "数值错误",
"#N/A": "值不可用",
}
return error_codes.get(cell_value, f"错误: {cell_value}")
elif cell_type == "d":
return f"[日期] {cell_value}"
elif cell_type == "n":
return cell_value
elif cell_type is None:
try:
float_val = float(cell_value)
if float_val.is_integer():
return str(int(float_val))
return cell_value
except ValueError:
return cell_value
else:
return cell_value
else:
return ""
def get_non_empty_columns(data: List[List[str]]) -> set:
non_empty_cols = set()
for row in data:
for col_idx, cell in enumerate(row):
if cell and cell.strip():
non_empty_cols.add(col_idx)
return non_empty_cols
def filter_columns(row: List[str], non_empty_cols: set) -> List[str]:
return [row[i] if i < len(row) else "" for i in sorted(non_empty_cols)]
def data_to_markdown(data: List[List[str]], sheet_name: str) -> str:
if not data or not data[0]:
return f"## {sheet_name}\n\n*工作表为空*"
md_lines = []
md_lines.append(f"## {sheet_name}")
md_lines.append("")
headers = data[0]
non_empty_cols = get_non_empty_columns(data)
if not non_empty_cols:
return f"## {sheet_name}\n\n*工作表为空*"
filtered_headers = filter_columns(headers, non_empty_cols)
header_line = "| " + " | ".join(filtered_headers) + " |"
md_lines.append(header_line)
separator_line = "|" + "|".join(["---"] * len(filtered_headers)) + "|"
md_lines.append(separator_line)
for row in data[1:]:
filtered_row = filter_columns(row, non_empty_cols)
row_line = "| " + " | ".join(filtered_row) + " |"
md_lines.append(row_line)
md_lines.append("")
return "\n".join(md_lines)
try:
with zipfile.ZipFile(file_path, "r") as zip_file:
sheet_names = []
try:
with zip_file.open("xl/workbook.xml") as f:
root = ET.parse(f).getroot()
sheet_elements = root.findall(".//main:sheet", xlsx_namespace)
for sheet in sheet_elements:
sheet_name = sheet.attrib.get("name", "")
if sheet_name:
sheet_names.append(sheet_name)
except KeyError:
return None, "无法解析工作表名称"
if not sheet_names:
return None, "未找到工作表"
shared_strings = []
try:
with zip_file.open("xl/sharedStrings.xml") as f:
root = ET.parse(f).getroot()
for si in root.findall(".//main:si", xlsx_namespace):
t_elem = si.find(".//main:t", xlsx_namespace)
if t_elem is not None and t_elem.text:
shared_strings.append(t_elem.text)
else:
shared_strings.append("")
except KeyError:
pass
markdown_content = "# Excel数据转换结果 (原生XML解析)\n\n"
markdown_content += f"来源: {file_path}\n\n"
for sheet_index, sheet_name in enumerate(sheet_names, start=1):
try:
worksheet_path = f"xl/worksheets/sheet{sheet_index}.xml"
with zip_file.open(worksheet_path) as f:
root = ET.parse(f).getroot()
sheet_data = root.find("main:sheetData", xlsx_namespace)
rows = []
if sheet_data is not None:
row_elements = sheet_data.findall(
"main:row", xlsx_namespace
)
for row_elem in row_elements:
cells = row_elem.findall("main:c", xlsx_namespace)
col_dict = {}
for cell in cells:
cell_ref = cell.attrib.get("r", "")
if not cell_ref:
continue
col_index = parse_col_index(cell_ref)
cell_value = parse_cell_value(cell, shared_strings)
col_dict[col_index] = cell_value
if col_dict:
max_col = max(col_dict.keys())
row_data = [
col_dict.get(i, "") for i in range(max_col + 1)
]
rows.append(row_data)
table_md = data_to_markdown(rows, sheet_name)
markdown_content += table_md + "\n\n"
except KeyError:
markdown_content += f"## {sheet_name}\n\n*工作表解析失败*\n\n"
if not markdown_content.strip():
return None, "解析结果为空"
return markdown_content, None
except Exception as e:
return None, f"XML 解析失败: {str(e)}"