108 lines
5.2 KiB
Python
108 lines
5.2 KiB
Python
"""
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从模板文件重新生成 abb_mapping_config.json
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只包含模板中实际存在的项目
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"""
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from docx import Document
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import json
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import re
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def extract_items_from_template():
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"""从模板中提取所有检测项目"""
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doc = Document('template_complete.docx')
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# 模块映射：根据模板中的标题识别模块
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module_items = {}
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current_module = None
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# 遍历所有表格
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for table in doc.tables:
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for row in table.rows:
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row_text = ' '.join([cell.text.strip() for cell in row.cells])
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# 检测模块标题
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if 'Urine Detection' in row_text or '尿液检测' in row_text:
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current_module = 'Urine Test'
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elif 'Complete Blood Count' in row_text or '血常规' in row_text:
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current_module = 'Complete Blood Count'
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elif 'Blood Sugar' in row_text or '血糖' in row_text:
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current_module = 'Blood Sugar'
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elif 'Lipid Profile' in row_text or '血脂' in row_text:
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current_module = 'Lipid Profile'
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elif 'Blood Type' in row_text and '血型' in row_text:
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current_module = 'Blood Type'
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elif 'Blood Coagulation' in row_text or '凝血' in row_text:
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current_module = 'Blood Coagulation'
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elif 'Four Infectious' in row_text or '传染病' in row_text:
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current_module = 'Four Infectious Diseases'
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elif 'Serum Electrolytes' in row_text or '电解质' in row_text:
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current_module = 'Serum Electrolytes'
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elif 'Liver Function' in row_text or '肝功能' in row_text:
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current_module = 'Liver Function'
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elif 'Kidney Function' in row_text or '肾功能' in row_text:
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current_module = 'Kidney Function'
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elif 'Myocardial Enzyme' in row_text or '心肌酶' in row_text:
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current_module = 'Myocardial Enzyme'
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elif 'Thyroid Function' in row_text or '甲状腺' in row_text:
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current_module = 'Thyroid Function'
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elif 'Thromboembolism' in row_text or '血栓' in row_text:
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current_module = 'Thromboembolism'
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elif 'Bone Metabolism' in row_text or '骨代谢' in row_text:
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current_module = 'Bone Metabolism'
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elif 'Microelement' in row_text or '微量元素' in row_text:
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current_module = 'Microelement'
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elif 'Humoral Immunity' in row_text or '体液免疫' in row_text:
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current_module = 'Humoral Immunity'
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elif 'Inflammatory' in row_text or '炎症' in row_text:
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current_module = 'Inflammatory Reaction'
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elif 'Autoantibody' in row_text or '自身抗体' in row_text:
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current_module = 'Autoantibody'
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elif 'Female Hormone' in row_text or '女性荷尔蒙' in row_text:
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current_module = 'Female Hormone'
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elif 'Male Hormone' in row_text or '男性荷尔蒙' in row_text:
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current_module = 'Male Hormone'
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elif 'Tumor Markers' in row_text or '肿瘤标志物' in row_text:
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current_module = 'Tumor Markers'
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elif 'Lymphocyte' in row_text or '淋巴细胞亚群' in row_text:
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current_module = 'Lymphocyte Subpopulation'
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# 提取ABB（第一列，短文本）
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first_cell = row.cells[0].text.strip() if row.cells else ''
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if first_cell and len(first_cell) < 30:
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if 'Abb' not in first_cell and '简称' not in first_cell:
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if not first_cell.startswith('Clinical') and not first_cell.startswith('临床'):
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# 检查是否有临床意义（确认是数据行）
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has_clinical = any('Clinical Significance' in cell.text for cell in row.cells)
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if has_clinical and current_module:
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if current_module not in module_items:
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module_items[current_module] = []
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# 获取项目名称（第二列）
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project_name = row.cells[1].text.strip() if len(row.cells) > 1 else first_cell
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# 避免重复
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existing_abbs = [item['abb'] for item in module_items[current_module]]
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if first_cell not in existing_abbs:
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module_items[current_module].append({
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'abb': first_cell,
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'project': project_name
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})
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return module_items
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def main():
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print('从模板提取检测项目...')
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module_items = extract_items_from_template()
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total = sum(len(items) for items in module_items.values())
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print(f'共提取 {len(module_items)} 个模块, {total} 个项目')
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for module, items in module_items.items():
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print(f' {module}: {len(items)} 项')
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for item in items[:3]:
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print(f' - {item["abb"]}')
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if len(items) > 3:
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print(f' ... 还有 {len(items)-3} 项')
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if __name__ == '__main__':
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main()
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