# -*- coding: utf-8 -*- """ 文档解析模块 - LLM增强版 支持PDF和Docx格式，针对GJB438B标准SRS文档优化 """ import os import re import logging from abc import ABC, abstractmethod from typing import List, Dict, Tuple, Optional from pathlib import Path try: from docx import Document HAS_DOCX = True except ImportError: HAS_DOCX = False try: import PyPDF2 HAS_PDF = True except ImportError: HAS_PDF = False logger = logging.getLogger(__name__) class Section: """表示文档中的一个章节""" def __init__(self, level: int, title: str, number: str = None, content: str = "", uid: str = ""): self.level = level self.title = title self.number = number self.content = content self.uid = uid self.parent = None self.children = [] self.tables = [] def add_child(self, child: 'Section') -> None: self.children.append(child) child.parent = self def add_content(self, text: str) -> None: if self.content: self.content += "\n" + text else: self.content = text def add_table(self, table_data: List[List[str]]) -> None: self.tables.append(table_data) def generate_auto_number(self, parent_number: str = "", sibling_index: int = 1) -> None: """ 自动生成章节编号（当章节没有编号时） Args: parent_number: 父章节编号 sibling_index: 在同级章节中的序号（从1开始） """ if not self.number: if parent_number: self.number = f"{parent_number}.{sibling_index}" else: self.number = str(sibling_index) def __repr__(self) -> str: return f"Section(level={self.level}, number='{self.number}', title='{self.title}')" class DocumentParser(ABC): """文档解析器基类""" def __init__(self, file_path: str): self.file_path = file_path self.sections: List[Section] = [] self.document_title = "" self.raw_text = "" self.llm = None self._uid_counter = 0 def set_llm(self, llm) -> None: """设置LLM实例""" self.llm = llm @abstractmethod def parse(self) -> List[Section]: pass def get_document_title(self) -> str: return self.document_title def _next_uid(self) -> str: self._uid_counter += 1 return f"sec-{self._uid_counter}" def _auto_number_sections(self, sections: List[Section], parent_number: str = "") -> None: """ 为没有编号的章节自动生成编号 规则：使用Word样式确定级别，跳过前置章节（目录、概述等）， 从第一个正文章节（如"外部接口"）开始编号为1 Args: sections: 章节列表 parent_number: 父章节编号 """ # 仅在顶级章节重编号 if not parent_number: # 前置章节关键词（需要跳过的） skip_keywords = ['目录', '封面', '扉页', '未命名', '年', '月'] # 正文章节关键词（遇到这些说明正文开始） content_keywords = ['外部接口', '接口', '软件需求', '需求', '功能', '性能', '设计', '概述', '标识', '引言'] start_index = 0 for idx, section in enumerate(sections): # 优先检查是否是正文章节 is_content = any(kw in section.title for kw in content_keywords) if is_content and section.level == 1: start_index = idx break # 重新编号所有章节 counter = 1 for i, section in enumerate(sections): if i < start_index: # 前置章节不编号 section.number = "" else: # 正文章节：顶级章节从1开始编号 if section.level == 1: section.number = str(counter) counter += 1 # 递归处理子章节 if section.children: self._auto_number_sections(section.children, section.number) else: # 子章节编号 for i, section in enumerate(sections, 1): if not section.number or self._is_chinese_number(section.number): section.generate_auto_number(parent_number, i) if section.children: self._auto_number_sections(section.children, section.number) def _is_chinese_number(self, text: str) -> bool: """检查是否是中文数字编号""" chinese_numbers = '一二三四五六七八九十百千万' return text and all(c in chinese_numbers for c in text) class DocxParser(DocumentParser): """DOCX格式文档解析器""" def __init__(self, file_path: str): if not HAS_DOCX: raise ImportError("python-docx库未安装，请运行: pip install python-docx") super().__init__(file_path) self.document = None def parse(self) -> List[Section]: try: self.document = Document(self.file_path) self.document_title = self.document.core_properties.title or "SRS Document" section_stack = {} for block in self._iter_block_items(self.document): from docx.text.paragraph import Paragraph from docx.table import Table if isinstance(block, Paragraph): text = block.text.strip() if not text: continue heading_info = self._parse_heading(block, text) if heading_info: number, title, level = heading_info section = Section(level=level, title=title, number=number, uid=self._next_uid()) if level == 1 or not section_stack: self.sections.append(section) section_stack = {1: section} else: parent_level = level - 1 while parent_level >= 1 and parent_level not in section_stack: parent_level -= 1 if parent_level >= 1 and parent_level in section_stack: section_stack[parent_level].add_child(section) elif self.sections: self.sections[-1].add_child(section) section_stack[level] = section for l in list(section_stack.keys()): if l > level: del section_stack[l] else: # 添加内容到当前章节 if section_stack: max_level = max(section_stack.keys()) section_stack[max_level].add_content(text) else: # 没有标题时，创建默认章节 default_section = Section(level=1, title="未命名章节", number="", uid=self._next_uid()) default_section.add_content(text) self.sections.append(default_section) section_stack = {1: default_section} elif isinstance(block, Table): # 表格处理 table_data = self._extract_table_data(block) if table_data: if section_stack: max_level = max(section_stack.keys()) section_stack[max_level].add_table(table_data) else: default_section = Section(level=1, title="未命名章节", number="", uid=self._next_uid()) default_section.add_table(table_data) self.sections.append(default_section) section_stack = {1: default_section} # 为没有编号的章节自动生成编号 self._auto_number_sections(self.sections) logger.info(f"完成Docx解析，提取{len(self.sections)}个顶级章节") return self.sections except Exception as e: logger.error(f"解析Docx文档失败: {e}") raise def _is_valid_heading(self, text: str) -> bool: """检查是否是有效的标题""" if len(text) > 120 or '...' in text: return False # 标题应包含中文或字母 if not re.search(r'[\u4e00-\u9fa5A-Za-z]', text): return False # 过滤目录项（标题后跟页码，如"概述 2"或"概述 . . . . 2"） if re.search(r'\s{2,}\d+$', text): # 多个空格后跟数字结尾 return False if re.search(r'[\.。\s]+\d+$', text): # 点号或空格后跟数字结尾 return False return True def _parse_heading(self, paragraph, text: str) -> Optional[Tuple[str, str, int]]: """解析标题，返回(编号, 标题, 级别)""" style_name = paragraph.style.name if paragraph.style else "" is_heading_style = style_name.lower().startswith('heading') if style_name else False # 数字编号标题 match = re.match(r'^(\d+(?:\.\d+)*)\s*[\.、]?\s*(.+)$', text) if match and self._is_valid_heading(match.group(2)): number = match.group(1) title = match.group(2).strip() level = len(number.split('.')) return number, title, level # 中文编号标题 match = re.match(r'^([一二三四五六七八九十]+)[、\.]+\s*(.+)$', text) if match and self._is_valid_heading(match.group(2)): number = match.group(1) title = match.group(2).strip() level = 1 return number, title, level # 样式标题 if is_heading_style and self._is_valid_heading(text): level = 1 level_match = re.search(r'(\d+)', style_name) if level_match: level = int(level_match.group(1)) return "", text, level return None def _iter_block_items(self, parent): """按文档顺序迭代段落和表格""" from docx.text.paragraph import Paragraph from docx.table import Table from docx.oxml.text.paragraph import CT_P from docx.oxml.table import CT_Tbl for child in parent.element.body.iterchildren(): if isinstance(child, CT_P): yield Paragraph(child, parent) elif isinstance(child, CT_Tbl): yield Table(child, parent) def _extract_table_data(self, table) -> List[List[str]]: """提取表格数据""" table_data = [] for row in table.rows: row_data = [] for cell in row.cells: text = cell.text.replace('\n', ' ').strip() text = re.sub(r'\s+', ' ', text) row_data.append(text) if any(cell for cell in row_data): table_data.append(row_data) return table_data class PDFParser(DocumentParser): """PDF格式文档解析器 - LLM增强版""" # GJB438B标准SRS文档的有效章节标题关键词 VALID_TITLE_KEYWORDS = [ '范围', '标识', '概述', '引用', '文档', '需求', '功能', '接口', '性能', '安全', '保密', '环境', '资源', '质量', '设计', '约束', '人员', '培训', '保障', '验收', '交付', '包装', '优先', '关键', '合格', '追踪', '注释', 'CSCI', '计算机', '软件', '硬件', '通信', '通讯', '数据', '适应', '可靠', '内部', '外部', '描述', '要求', '规定', '说明', '定义', '电场', '防护', '装置', '控制', '监控', '显控' ] # 明显无效的章节标题模式（噪声） INVALID_TITLE_PATTERNS = [ '本文档可作为', '参比电位', '补偿电流', '以太网', '电源', '软件接', '功能\\', '性能 \\', '输入/输出 \\', '数据处理要求 \\', '固件 \\', '质量控制要求', '信安科技', '浙江', '公司' ] def __init__(self, file_path: str): if not HAS_PDF: raise ImportError("PyPDF2库未安装，请运行: pip install PyPDF2") super().__init__(file_path) self.document_title = "SRS Document" def parse(self) -> List[Section]: """解析PDF文档""" try: # 1. 提取所有文本 self.raw_text = self._extract_all_text() # 2. 清洗文本 cleaned_text = self._clean_text(self.raw_text) # 3. 识别章节结构 self.sections = self._parse_sections(cleaned_text) # 4. 使用LLM验证和清理章节（如果可用） if self.llm: self.sections = self._llm_validate_sections(self.sections) # 5. 为没有编号的章节自动生成编号 self._auto_number_sections(self.sections) logger.info(f"完成PDF解析，提取{len(self.sections)}个顶级章节") return self.sections except Exception as e: logger.error(f"解析PDF文档失败: {e}") raise def _extract_all_text(self) -> str: """从PDF提取所有文本""" all_text = [] with open(self.file_path, 'rb') as f: pdf_reader = PyPDF2.PdfReader(f) for page in pdf_reader.pages: text = page.extract_text() if text: all_text.append(text) return '\n'.join(all_text) def _clean_text(self, text: str) -> str: """清洗PDF提取的文本""" lines = text.split('\n') cleaned_lines = [] for line in lines: line = line.strip() if not line: continue # 跳过页码（通常是1-3位数字单独一行） if re.match(r'^\d{1,3}$', line): continue # 跳过目录行 if line.count('.') > 10 and '...' in line: continue cleaned_lines.append(line) return '\n'.join(cleaned_lines) def _parse_sections(self, text: str) -> List[Section]: """解析章节结构""" sections = [] section_stack = {} lines = text.split('\n') current_section = None content_buffer = [] found_sections = set() for line in lines: line = line.strip() if not line: continue # 尝试匹配章节标题 section_info = self._match_section_header(line, found_sections) if section_info: number, title = section_info level = len(number.split('.')) # 保存之前章节的内容 if current_section and content_buffer: current_section.add_content('\n'.join(content_buffer)) content_buffer = [] # 创建新章节 section = Section(level=level, title=title, number=number, uid=self._next_uid()) found_sections.add(number) # 建立层次结构 if level == 1: sections.append(section) section_stack = {1: section} else: parent_level = level - 1 while parent_level >= 1 and parent_level not in section_stack: parent_level -= 1 if parent_level >= 1 and parent_level in section_stack: section_stack[parent_level].add_child(section) elif sections: sections[-1].add_child(section) else: sections.append(section) section_stack = {1: section} section_stack[level] = section for l in list(section_stack.keys()): if l > level: del section_stack[l] current_section = section else: # 收集内容 if line and not self._is_noise(line): content_buffer.append(line) # 保存最后一个章节的内容 if current_section and content_buffer: current_section.add_content('\n'.join(content_buffer)) return sections def _match_section_header(self, line: str, found_sections: set) -> Optional[Tuple[str, str]]: """ 匹配章节标题 Returns: (章节编号, 章节标题) 或 None """ # 模式: "3.1功能需求" 或 "3.1 功能需求" match = re.match(r'^(\d+(?:\.\d+)*)\s*(.+)$', line) if not match: return None number = match.group(1) title = match.group(2).strip() # 排除目录行 if '...' in title or title.count('.') > 5: return None # 验证章节编号 parts = number.split('.') first_part = int(parts[0]) # 放宽一级章节编号范围（非严格GJB结构） if first_part < 1 or first_part > 30: return None # 检查子部分是否合理 for part in parts[1:]: if int(part) > 20: return None # 避免重复 if number in found_sections: return None # 标题长度检查 if len(title) > 60 or len(title) < 2: return None # 标题必须包含中文 if not re.search(r'[\u4e00-\u9fa5]', title): return None # 放宽标题关键词要求（非严格GJB结构） if not re.search(r'[\u4e00-\u9fa5A-Za-z]', title): return None # 检查是否包含无效模式 for invalid_pattern in self.INVALID_TITLE_PATTERNS: if invalid_pattern in title: return None # 标题不能以数字开头 if title[0].isdigit(): return None # 数字比例检查 digit_ratio = sum(c.isdigit() for c in title) / max(len(title), 1) if digit_ratio > 0.3: return None # 检查标题是否包含反斜杠（通常是表格噪声） if '\\' in title and '需求' not in title: return None return (number, title) def _is_noise(self, line: str) -> bool: """检查是否是噪声行""" # 纯数字行 if re.match(r'^[\d\s,.]+$', line): return True # 非常短的行 if len(line) < 3: return True # 罗马数字 if re.match(r'^[ivxIVX]+$', line): return True return False def _llm_validate_sections(self, sections: List[Section]) -> List[Section]: """使用LLM验证章节是否有效""" if not self.llm: return sections validated_sections = [] for section in sections: # 验证顶级章节 if self._is_valid_section_with_llm(section): # 递归验证子章节 section.children = self._validate_children(section.children) validated_sections.append(section) return validated_sections def _validate_children(self, children: List[Section]) -> List[Section]: """递归验证子章节""" validated = [] for child in children: if self._is_valid_section_with_llm(child): child.children = self._validate_children(child.children) validated.append(child) return validated def _is_valid_section_with_llm(self, section: Section) -> bool: """使用LLM判断章节是否有效""" # 先用规则快速过滤明显无效的章节 invalid_titles = [ '本文档可作为', '故障', '实时', '输入/输出', '固件', '功能\\', '\\4.', '\\3.' ] for invalid in invalid_titles: if invalid in section.title: logger.debug(f"过滤无效章节: {section.number} {section.title}") return False # 对于需求相关章节（第3章），额外验证 if section.number and section.number.startswith('3'): # 检查标题是否看起来像是有效的需求章节标题 # 有效的标题应该是完整的中文短语 if '\\' in section.title or '/' in section.title: if not any(kw in section.title for kw in ['输入', '输出', '接口']): return False return True def create_parser(file_path: str) -> DocumentParser: """ 工厂函数：根据文件扩展名创建相应的解析器 """ ext = Path(file_path).suffix.lower() if ext == '.docx': return DocxParser(file_path) elif ext == '.pdf': return PDFParser(file_path) else: raise ValueError(f"不支持的文件格式: {ext}")