初始化医疗报告生成项目，添加核心代码文件

backend/extract_template_explanations.py

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+"""
+从模板文件中提取所有检测项目的临床意义
+"""
+from docx import Document
+import json
+import re
+
+def extract_all_explanations():
+    doc = Document('template_complete.docx')
+    
+    explanations = {}
+    
+    # 遍历所有表格
+    for table_idx, table in enumerate(doc.tables):
+        rows = table.rows
+        if len(rows) < 2:
+            continue
+        
+        # 检查是否是检测项目表格（通过表头判断）
+        header_text = ' '.join([cell.text.strip() for cell in rows[0].cells])
+        
+        # 遍历每一行
+        current_abb = None
+        for row_idx, row in enumerate(rows):
+            cells = row.cells
+            if not cells:
+                continue
+            
+            # 获取第一列文本（通常是ABB）
+            first_cell_text = cells[0].text.strip()
+            
+            # 跳过表头行
+            if 'Abb' in first_cell_text or '简称' in first_cell_text:
+                continue
+            
+            # 检查是否是ABB行（短文本，不是临床意义）
+            if first_cell_text and len(first_cell_text) < 40:
+                if not first_cell_text.startswith('Clinical') and not first_cell_text.startswith('临床'):
+                    # 可能是ABB
+                    current_abb = first_cell_text
+            
+            # 查找临床意义
+            for cell in cells:
+                text = cell.text.strip()
+                if 'Clinical Significance:' in text and '临床意义：' in text:
+                    # 提取英文和中文
+                    parts = text.split('临床意义：')
+                    if len(parts) == 2:
+                        en = parts[0].replace('Clinical Significance:', '').strip()
+                        cn = parts[1].strip()
+                        
+                        if current_abb and en and cn:
+                            # 标准化ABB名称
+                            abb_key = current_abb.upper().strip()
+                            # 处理特殊字符
+                            abb_key = abb_key.replace(' - ', '-').replace('（', '(').replace('）', ')')
+                            
+                            if abb_key not in explanations:
+                                explanations[abb_key] = {
+                                    'clinical_en': en,
+                                    'clinical_cn': cn
+                                }
+                                print(f'提取: {abb_key}')
+    
+    return explanations
+
+def main():
+    print('从模板提取临床意义...')
+    print('=' * 60)
+    
+    template_explanations = extract_all_explanations()
+    print(f'\n从模板提取了 {len(template_explanations)} 个项目')
+    
+    # 读取现有文件
+    try:
+        with open('template_explanations.json', 'r', encoding='utf-8') as f:
+            existing = json.load(f)
+        print(f'现有文件中有 {len(existing)} 个项目')
+    except:
+        existing = {}
+        print('创建新文件')
+    
+    # 用模板内容更新（模板优先）
+    updated_count = 0
+    for abb, exp in template_explanations.items():
+        if abb not in existing or existing[abb] != exp:
+            existing[abb] = exp
+            updated_count += 1
+    
+    # 保存
+    with open('template_explanations.json', 'w', encoding='utf-8') as f:
+        json.dump(existing, f, ensure_ascii=False, indent=2)
+    
+    print(f'\n更新了 {updated_count} 个项目')
+    print(f'最终文件包含 {len(existing)} 个项目')
+    
+    # 检查配置文件中的项目是否都有临床意义
+    print('\n' + '=' * 60)
+    print('检查配置文件中的项目覆盖情况...')
+    
+    with open('abb_mapping_config.json', 'r', encoding='utf-8') as f:
+        config = json.load(f)
+    
+    config_abbs = set()
+    for module_name, module_data in config.get('modules', {}).items():
+        for item in module_data.get('items', []):
+            abb = item.get('abb', '').upper().strip()
+            abb = abb.replace(' - ', '-').replace('（', '(').replace('）', ')')
+            config_abbs.add(abb)
+    
+    # 检查缺失
+    missing = []
+    for abb in config_abbs:
+        if abb not in existing:
+            # 尝试一些变体
+            found = False
+            variants = [
+                abb,
+                abb.replace('-', ' '),
+                abb.replace(' ', '-'),
+                abb.replace('%', ''),
+                abb + ' COUNT',
+                abb + ' TYPE',
+            ]
+            for v in variants:
+                if v in existing:
+                    found = True
+                    break
+            if not found:
+                missing.append(abb)
+    
+    if missing:
+        print(f'\n缺失临床意义的项目 ({len(missing)}):')
+        for abb in sorted(missing):
+            print(f'  {abb}')
+    else:
+        print('\n所有配置项目都有临床意义!')
+
+if __name__ == '__main__':
+    main()