初始化医疗报告生成项目，添加核心代码文件

backend/rebuild_template_explanations.py

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+"""
+从模板文件重新提取所有检测项目的临床意义
+生成正确的 template_explanations.json
+"""
+from docx import Document
+import json
+
+def main():
+    doc = Document('template_complete.docx')
+    
+    explanations = {}
+    
+    # 遍历所有表格
+    for table in doc.tables:
+        rows = list(table.rows)
+        
+        for i, row in enumerate(rows):
+            cells = row.cells
+            if not cells:
+                continue
+            
+            first_cell = cells[0].text.strip()
+            
+            # 跳过空行、表头、模块标题
+            if not first_cell:
+                continue
+            if 'Abb' in first_cell or '简称' in first_cell:
+                continue
+            if 'Clinical' in first_cell:
+                continue
+            
+            # 检查是否是ABB行（短文本，不含占位符，不含中文模块名）
+            if len(first_cell) > 40 or '{{' in first_cell:
+                continue
+            
+            # 跳过模块标题（包含换行符和中文）
+            if '\n' in first_cell and any('\u4e00' <= c <= '\u9fff' for c in first_cell):
+                continue
+            
+            # 这是一个ABB，查找下一行的临床意义
+            abb = first_cell
+            
+            # 在当前行或下一行查找临床意义
+            clinical_text = None
+            
+            # 先检查当前行的其他单元格
+            for cell in cells:
+                text = cell.text.strip()
+                if 'Clinical Significance:' in text and '临床意义：' in text:
+                    clinical_text = text
+                    break
+            
+            # 如果当前行没有，检查下一行
+            if not clinical_text and i + 1 < len(rows):
+                next_row = rows[i + 1]
+                for cell in next_row.cells:
+                    text = cell.text.strip()
+                    if 'Clinical Significance:' in text and '临床意义：' in text:
+                        clinical_text = text
+                        break
+            
+            if clinical_text:
+                # 提取英文和中文
+                parts = clinical_text.split('临床意义：')
+                if len(parts) == 2:
+                    en = parts[0].replace('Clinical Significance:', '').strip()
+                    cn = parts[1].strip()
+                    
+                    if en and cn:
+                        # 标准化ABB名称
+                        abb_key = abb.upper().strip()
+                        abb_key = abb_key.replace(' - ', '-').replace('（', '(').replace('）', ')')
+                        
+                        if abb_key not in explanations:
+                            explanations[abb_key] = {
+                                'clinical_en': en,
+                                'clinical_cn': cn
+                            }
+    
+    print(f'从模板提取了 {len(explanations)} 个项目的临床意义')
+    
+    # 保存
+    with open('template_explanations.json', 'w', encoding='utf-8') as f:
+        json.dump(explanations, f, ensure_ascii=False, indent=2)
+    
+    print(f'已保存到 template_explanations.json')
+    
+    # 验证 Color
+    if 'COLOR' in explanations:
+        print(f'\nCOLOR 验证:')
+        print(f'EN: {explanations["COLOR"]["clinical_en"][:80]}...')
+        print(f'CN: {explanations["COLOR"]["clinical_cn"][:80]}...')
+
+if __name__ == '__main__':
+    main()