1
0

增加lyxy-reader-office skill

This commit is contained in:
2026-02-17 22:50:06 +08:00
parent 9f686270c2
commit 9f04dac50b
25 changed files with 609 additions and 1282 deletions

View File

@@ -0,0 +1,337 @@
#!/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"!\[[^\]]*\]\([^)]+\)")
# unstructured 噪声匹配: pptx 中的 RGB 颜色值(如 "R:255 G:128 B:0"
_RGB_PATTERN = re.compile(r"^R:\d+\s+G:\d+\s+B:\d+$")
# unstructured 噪声匹配: 破折号页码(如 "— 3 —"
_PAGE_NUMBER_PATTERN = re.compile(r"^—\s*\d+\s*—$")
def parse_with_markitdown(
file_path: str,
) -> Tuple[Optional[str], Optional[str]]:
"""使用 MarkItDown 库解析文件"""
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_with_docling(file_path: str) -> Tuple[Optional[str], Optional[str]]:
"""使用 docling 库解析文件"""
try:
from docling.document_converter import DocumentConverter
except ImportError:
return None, "docling 库未安装"
try:
converter = DocumentConverter()
result = converter.convert(file_path)
markdown_content = result.document.export_to_markdown()
if not markdown_content.strip():
return None, "文档为空"
return markdown_content, None
except Exception as e:
return None, f"docling 解析失败: {str(e)}"
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 "/../" in name or name.endswith("/.."):
return None
if "\\" in name:
return None
return zip_file.open(name)
_CONSECUTIVE_BLANK_LINES = re.compile(r"\n{3,}")
def normalize_markdown_whitespace(content: str) -> str:
"""规范化 Markdown 空白字符,保留单行空行"""
return _CONSECUTIVE_BLANK_LINES.sub("\n\n", content)
def _is_valid_ooxml(file_path: str, required_files: List[str]) -> bool:
try:
with zipfile.ZipFile(file_path, "r") as zip_file:
names = set(zip_file.namelist())
return all(r in names for r in required_files)
except (zipfile.BadZipFile, zipfile.LargeZipFile):
return False
_DOCX_REQUIRED = ["[Content_Types].xml", "_rels/.rels", "word/document.xml"]
_PPTX_REQUIRED = ["[Content_Types].xml", "_rels/.rels", "ppt/presentation.xml"]
_XLSX_REQUIRED = ["[Content_Types].xml", "_rels/.rels", "xl/workbook.xml"]
def is_valid_docx(file_path: str) -> bool:
"""验证文件是否为有效的 DOCX 格式"""
return _is_valid_ooxml(file_path, _DOCX_REQUIRED)
def is_valid_pptx(file_path: str) -> bool:
"""验证文件是否为有效的 PPTX 格式"""
return _is_valid_ooxml(file_path, _PPTX_REQUIRED)
def is_valid_xlsx(file_path: str) -> bool:
"""验证文件是否为有效的 XLSX 格式"""
return _is_valid_ooxml(file_path, _XLSX_REQUIRED)
def is_valid_pdf(file_path: str) -> bool:
"""验证文件是否为有效的 PDF 格式"""
try:
with open(file_path, "rb") as f:
header = f.read(4)
return header == b"%PDF"
except (IOError, OSError):
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 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
without_hash = stripped.lstrip("#")
level = len(stripped) - len(without_hash)
if not (1 <= level <= 6):
return 0
if len(stripped) == level:
return level
if stripped[level] != " ":
return 0
return level
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 match_num, idx in enumerate(match_indices):
if match_num > 0:
result_lines.append("\n---\n")
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]
result_lines = [
line
for i, line in enumerate(lines)
if start_line_idx <= i <= end_line_idx
]
results.append("\n".join(result_lines))
return "\n---\n".join(results)
_FILE_TYPE_VALIDATORS = {
".docx": is_valid_docx,
".pptx": is_valid_pptx,
".xlsx": is_valid_xlsx,
".pdf": is_valid_pdf,
}
def detect_file_type(file_path: str) -> Optional[str]:
"""检测文件类型,返回 'docx''pptx''xlsx''pdf'"""
ext = os.path.splitext(file_path)[1].lower()
validator = _FILE_TYPE_VALIDATORS.get(ext)
if validator and validator(file_path):
return ext.lstrip(".")
return None
def _unstructured_elements_to_markdown(
elements: list, trust_titles: bool = True
) -> str:
"""将 unstructured 解析出的元素列表转换为 Markdown 文本"""
try:
import markdownify as md_lib
from unstructured.documents.elements import (
Footer,
Header,
Image,
ListItem,
PageBreak,
PageNumber,
Table,
Title,
)
except ImportError:
return "\n\n".join(
el.text for el in elements if hasattr(el, "text") and el.text and el.text.strip()
)
skip_types = (Header, Footer, PageBreak, PageNumber)
parts = []
for el in elements:
if isinstance(el, skip_types):
continue
text = el.text.strip() if hasattr(el, "text") else str(el).strip()
if not text or _RGB_PATTERN.match(text) or _PAGE_NUMBER_PATTERN.match(text):
continue
if isinstance(el, Table):
html = getattr(el.metadata, "text_as_html", None)
if html:
parts.append(md_lib.markdownify(html, strip=["img"]).strip())
else:
parts.append(str(el))
elif isinstance(el, Title) and trust_titles:
depth = getattr(el.metadata, "category_depth", None) or 1
depth = min(max(depth, 1), 4)
parts.append(f"{'#' * depth} {text}")
elif isinstance(el, ListItem):
parts.append(f"- {text}")
elif isinstance(el, Image):
path = getattr(el.metadata, "image_path", None) or ""
if path:
parts.append(f"![image]({path})")
else:
parts.append(text)
return "\n\n".join(parts)