first commit

2026-05-08 21:28:29 +08:00
commit 8598df4930
11 changed files with 1236 additions and 0 deletions
--- a/app/processors/V1-ALL_convert_Lab_Test_data.py
+++ b/app/processors/V1-ALL_convert_Lab_Test_data.py
@@ -0,0 +1,364 @@
+#!/usr/bin/env python3
+# -*- coding: UTF-8 -*-
+import csv, sys, os, copy, re 
+import os.path as osp
+from openpyxl import Workbook, load_workbook
+
+# 向特定excel的sheet中添加内容
+workbook = None  # 全局变量，初始值为 None
+file_path_g = None
+def add_content_to_excel(file_path, sheet_name, content):
+    global workbook, file_path_g # 声明 workbook 为全局变量
+    # 如果改换工作路径且workbook不为空
+    if file_path_g != file_path and not (workbook is None):
+        # 保存工作簿
+        workbook.save(file_path_g)
+        print("保存Excel工作表在：", file_path_g)
+    elif file_path_g != file_path:
+        try:
+            # 尝试加载现有的工作簿
+            workbook = load_workbook(file_path)
+        except FileNotFoundError:
+            # 如果文件不存在，则创建一个新的工作簿
+            workbook = Workbook()
+    file_path_g = file_path
+
+    if sheet_name not in workbook.sheetnames:
+        # 如果工作表不存在，则创建一个新的工作表
+        workbook.create_sheet(sheet_name)
+
+    # 选择指定的工作表
+    sheet = workbook[sheet_name]
+
+    # 向工作表添加内容
+    # 检查列表的第一个元素
+    if isinstance(content, list) and content and isinstance(content[0], list):
+        # "二维列表"
+        for row in content:
+            sheet.append(row)
+    elif isinstance(content, list):
+        # "一维列表"
+        sheet.append(content)
+    elif isinstance(content, str):
+        # "字符串"
+        sheet.append([content])
+    else:
+        print('add_content_to_excel输入参数为', content, '其不是列表、字符串')
+
+def save_excel():
+    global workbook, file_path_g
+    if not (workbook is None):
+        # 保存工作簿
+        print("Excel工作表保存在：", file_path_g)
+        workbook.save(file_path_g)
+
+# 自定义数据
+# 1.数据所在路径
+file_dir = sys.argv[1]
+# 2.文件保存路径
+result_save_pth = sys.argv[2] # osp.join(file_dir, 'Result.xlsx') # 
+# 3.是否输出不匹配内容
+show_not_match = sys.argv[3]
+# 4. 数据类型：pat_no / zhuyuanhao
+data_type = sys.argv[5]
+
+if (show_not_match.lower() == 'true'):
+    show_not_match = True
+else:
+    show_not_match = False
+# 4.是否输出全部信息（包括全无项）
+show_all_infos = sys.argv[4]
+if (show_all_infos.lower() == 'true'):
+    show_all_infos = True
+else:
+    show_all_infos = False
+
+####### 生成信息 #######
+# Patients_info文件的路径
+Patients_info_pth = osp.join(file_dir, 'Patients_info.csv')
+# Tests_List目录的路径
+patno_dir = osp.join(file_dir, 'Tests_List')
+# Tests_List目录的路径
+Patient_detail_infos_dir = osp.join(file_dir, 'Tests_Detail_List')
+RED = '\033[91m'
+RESET = '\033[0m'
+error_dir = osp.join(file_dir, 'error.txt')
+
+# 输出错误函数
+def Error(output_str="Error:", error_dir=error_dir):
+    # 打开 error.txt 文件并写入字符串
+    with open(error_dir, "a+") as file:
+        # 将字符串输出到标准错误流 sys.stderr
+        file.write(output_str+'\n')
+        print(RED+output_str+RESET)
+
+# 判断字符串是否匹配正则表达式
+def match_re(string, pattern):
+    # 使用 str() 强制转换，防止出现 None 或数字导致的报错
+    if re.match(str(pattern), str(string)):
+        return True
+    else:
+        return False
+
+# 1.删除Error文件
+if os.path.exists(error_dir):
+    os.remove(error_dir)
+    print("删除Error文件:", error_dir)
+
+# 2.打开Patients_info.csv文件，遍历出所有有效患者
+with open(Patients_info_pth, "r", encoding='utf-8-sig') as file:
+    reader_ = csv.DictReader(file)
+    reader_Patients_info = []
+    for r in reader_:
+        reader_Patients_info.append(r)
+    # 读取pat_no列数据
+    if data_type == "pat_no":
+        pat_no_col = [f"{int(row['pat_no']):010}" for row in reader_Patients_info]
+    elif data_type == "zhuyuanhao":
+        pat_no_col = [f"{row['pat_no']}" for row in reader_Patients_info]
+    else:
+        print("数据类型需要为pat_no或zhuyuanhao")
+    pat_no_col = list(set(pat_no_col)) # 去除数组中重复内容
+
+    # *** 注意： TODO for循环和list的remove相冲突，因此深拷贝原有元素
+    # 遍历所有pat_no，查看pat_no中是否有对应文件
+    pat_no_col_ = copy.deepcopy(pat_no_col)
+    for i in range(len(pat_no_col_)):
+        pat_no = pat_no_col_[i]
+        # 查看Tests_List目录下是否有对应的文件
+        file_path = osp.join(patno_dir, pat_no+'.csv')
+        if not osp.exists(file_path):
+            # 去除对应元素并报错
+            pat_no_col.remove(pat_no)
+            Error(f"{pat_no}.csv 在 {patno_dir} 中不存在")
+
+    # 遍历所有pat_no，查看Patient_detail_infos中是否有对应文件
+    pat_no_col_ = copy.deepcopy(pat_no_col)
+    for i in range(len(pat_no_col_)):
+        pat_no = pat_no_col_[i]
+        # 查看Patient_detail_infos目录下是否有对应的文件夹
+        file_path = osp.join(Patient_detail_infos_dir, pat_no)
+        if not osp.exists(file_path):
+            pat_no_col.remove(pat_no)
+            Error(f"{pat_no} 文件夹在 {Patient_detail_infos_dir} 中不存在")
+    
+    print("有效可处理患者数为：", len(pat_no_col), f"\n无效数据已存储至{error_dir}中了")
+
+# 3.遍历所有患者打开patno文件夹中的patno.csv
+# 获取患者头部信息（提取于Patients_info.csv）
+Front_line = {'姓名':'pat_name', '住院号':'pat_no'}
+# 获取患者检测基本信息（提取于patno文件夹）
+Basic_line = {'采样时间': 'sampled_dt', '检测原因':'req_reason'}
+# 所有检测具体信息（提取于Patient_detail_infos文件夹）
+# 一个检查包括：检测rptunitids、检查名(自主命名)、检查项、检查结果所在列、存放结果dict
+#{'test_rptunitid':[str(X), str(X)], 'test_check_name':'XXX', 'test_check_list':["XXX", "XXX", ], 'test_check_list_all':["XXX", "XXX", ], 'test_result_col_name':"result_str"},
+ALL_tests = [# 血细胞 # (1):血细胞分析+五分类；(2):血细胞分析+五分类；(4):血细胞五分类+CRP；东院区：(106):血细胞分析+五分类
+            {'test_rptunitid':[str(1), str(2), str(4), str(106)], 'test_check_name':'血细胞', 'test_check_list':["血红蛋白", "红细胞压积", "平均红细胞体积", "平均血红蛋白含量", "平均血红蛋白浓度", "红细胞宽度-CV值", "红细胞宽度-SD值", "血小板计数", "血小板分布宽度", "平均血小板体积", "大血小板比率", "血小板压积", "淋巴细胞计数", "单核细胞计数", "中性粒细胞计数", "嗜酸细胞计数", "嗜碱细胞计数", "淋巴细胞百分比", "单核细胞百分比", "中性粒细胞百分比", "嗜酸细胞百分比", "嗜碱细胞百分比", "白细胞计数", "红细胞计数", "CRP检验=====", "C反应蛋白", "超敏CRP", ], 'test_check_list_all':["血红蛋白", "红细胞压积", "平均红细胞体积", "平均血红蛋白含量", "平均血红蛋白浓度", "红细胞宽度-CV值", "红细胞宽度-SD值", "血小板计数", "血小板分布宽度", "平均血小板体积", "大血小板比率", "血小板压积", "淋巴细胞计数", "单核细胞计数", "中性粒细胞计数", "嗜酸细胞计数", "嗜碱细胞计数", "淋巴细胞百分比", "单核细胞百分比", "中性粒细胞百分比", "嗜酸细胞百分比", ["嗜碱细胞百分比", "嗜碱细胞%"], ["白细胞计数", "白细胞"], "红细胞计数", "CRP检验=====", "C反应蛋白", ["超敏CRP", "超敏C反应蛋白"], ], 'test_result_col_name':"result_str"},
+            # 凝血 # (3):凝血六项；(110):东院区；(90):凝血和血小板功能监测
+            {'test_rptunitid':[str(3), str(110),str(90)], 'test_check_name':'凝血', 'test_check_list':["凝血酶原时间", "凝血酶原活动度", "血浆凝血酶原时间比值", "凝血酶原国际标准化比值", "活化部分凝血活酶时间", "活化部分凝血活酶比值", "凝血酶时间", "凝血酶时间比值", "纤维蛋白原含量", "D-二聚体测定", "纤维蛋白原降解产物", "凝血酶生成时间","凝血速率","血小板功能"],\
+             'test_check_list_all':["凝血酶原时间*", ["凝血酶原活动度", r"凝血酶原活度\(%\)"], ["凝血酶原比值", "血浆凝血酶原时间比值"], ["凝血酶原标准化比值", "凝血酶原国际标准化比值"], ["活化部分凝血活酶时间*", "活化部分凝血酶时间*"], "活化部分凝血活酶比值", "凝血酶时间", "凝血酶时间比值", "纤维蛋白原含量", [r"D-二聚体\(sysmex\)", "D-二聚体测定*"], [r"纤维蛋白\(原\)降解产物", "纤维蛋白原降解产物"], "凝血酶生成时间","凝血速率","血小板功能"], 'test_result_col_name':"result_str"},
+            # 肝功 # (5):平诊肝功十四项+平诊电解质八项+平诊肾功七项；(20)急诊肝功十二项_急诊肾功五项[复]_急诊电解质七项[复]；东院区：（108）：传染性指标检测八项
+            {'test_rptunitid':[str(5), str(20), str(108)], 'test_check_name':'肝功', 'test_check_list':["谷草转氨酶", "谷丙转氨酶", "谷草/谷丙", "碱性磷酸酶", "γ谷氨酰氨转肽酶", "总胆红素", "直接胆红素", "间接胆红素", "胆碱脂酶", "总胆固醇", "总蛋白", "白蛋白", "球蛋白", "白球比", "总胆汁酸", "a-L-岩藻糖苷酶", "前白蛋白", "超氧化物歧化酶", "尿素", "肌酐", "胱抑素C", "葡萄糖", "尿酸", "钾", "钠", "氯", "磷", "钙", "镁", "二氧化碳结合率", "离子间隙", "糖化白蛋白", "视黄醇结合蛋白", "eGFR(CKD-EPI)", "a-l岩藻糖苷酶", "超氧化物歧化酶", "eGFR(MDRD)", r"eGFR单位ml/min/1.73m^2", "8597", "乳酸测定", "乳酸脱氢酶", "羟丁酸脱氢酶", "肌酸激酶", "肌酸激酶同工酶", "载脂蛋白A", "载脂蛋白B", "载脂蛋白E", "脂蛋白（a）", "缺血修饰白蛋白", "甘油三酯", "高密度脂蛋白", "低密度脂蛋白", ], \
+             'test_check_list_all':["谷草转氨酶", "谷丙转氨酶", "谷草/谷丙", "碱性磷酸酶", ["γ谷氨酰氨转肽酶", "γ-谷氨酰转肽酶"], "总胆红素", "直接胆红素", "间接胆红素", "胆碱脂酶", "总胆固醇", "总蛋白", "白蛋白", "球蛋白", "白球比", "总胆汁酸", "a-L-岩藻糖苷酶", "前白蛋白", "超氧化物歧化酶", "尿素", "肌酐", "胱抑素C", "葡萄糖", "尿酸", "钾", "钠", "氯", "磷", "钙", "镁", "二氧化碳结合率", "离子间隙", "糖化白蛋白", "视黄醇结合蛋白", r"eGFR\(CKD-EPI\)", "a-l岩藻糖苷酶", "超氧化物歧化酶", r"eGFR\(MDRD\)", r"eGFR单位ml/min/1.73m\^2", "8597", "乳酸测定", "乳酸脱氢酶", "羟丁酸脱氢酶", "肌酸激酶", "肌酸激酶同工酶", "载脂蛋白A", "载脂蛋白B", "载脂蛋白E", "脂蛋白（a）", "缺血修饰白蛋白", "甘油三酯", "高密度脂蛋白", "低密度脂蛋白", ], 'test_result_col_name':"result_str"},
+            # 各类肿瘤标志物 # (6):各类肿瘤标志物，e.g.肿瘤标志物肺癌六项[复]、肿瘤标志物十项(男)；东院区：（108）：肿瘤标志物肺癌六项[复]
+            {'test_rptunitid':[str(6), str(108)], 'test_check_name':'各类肿瘤标志物', 'test_check_list':["胃泌素释放肽前体(罗氏)", "鳞状上皮细胞癌抗原(罗氏)", "癌胚抗原", "甲胎蛋白", "糖类抗原125", "糖类抗原199", "糖类抗原724", "细胞角蛋白19片段", "神经元特异性烯醇化酶测定", "总前列腺特异性抗原", "游离前列腺抗原", "游离/总", "糖类抗原153","人附睾蛋白","绝经前 ROMA","绝经后 ROMA","铁蛋白","叶酸","维生素B12","高尔基体蛋白73测定","胃蛋白酶原Ⅰ","胃蛋白酶原Ⅱ","胃蛋白酶原Ⅰ/Ⅱ","降钙素","甲状腺球蛋白"],\
+             'test_check_list_all':[r"胃泌素释放肽前体\(罗氏\)", ["鳞状上皮细胞癌相关抗原", r"鳞状上皮细胞癌抗原\(罗氏\)"], "癌胚抗原", "甲胎蛋白", "糖类抗原125", "糖类抗原199", "糖类抗原724", "细胞角蛋白19片段", "神经元特异性烯醇化酶测定", "总前列腺特异性抗原", "游离前列腺抗原", "游离/总", "糖类抗原153","人附睾蛋白","绝经前 ROMA","绝经后 ROMA","铁蛋白","叶酸","维生素B12","高尔基体蛋白73测定","胃蛋白酶原Ⅰ","胃蛋白酶原Ⅱ","胃蛋白酶原Ⅰ/Ⅱ","降钙素","甲状腺球蛋白"], 'test_result_col_name':"result_str"},
+            # 七抗 # (10):肺癌七种自身抗体检测
+            {'test_rptunitid':str(10), 'test_check_name':'七抗', 'test_check_list':["p53自身抗体", "PGP9.5自身抗体", "SOX2自身抗体", "GAGE7自身抗体", "GBU4-5自身抗体", "MAGE A1自身抗体", "CAGE自身抗体", ], 'test_check_list_all':["p53自身抗体", "PGP9.5自身抗体", "SOX2自身抗体", "GAGE7自身抗体", "GBU4-5自身抗体", "MAGE A1自身抗体", "CAGE自身抗体", ], 'test_result_col_name':"result_str"},
+            # 传染指标 # (52):传染指标八项-急诊；(53):传染性指标检测八项[复]；东院区:(108):传染性指标检测八项[复]
+            {'test_rptunitid':[str(52), str(53), str(108)], 'test_check_name':'传染指标', 'test_check_list':["乙肝表面抗原定量", "乙肝表面抗体定量", "乙肝e抗原", "乙肝e抗体", "乙肝核心抗体", "丙型肝炎抗体", "梅毒螺旋体抗体", "人类免疫缺陷病毒", ], 'test_check_list_all':["乙肝表面抗原定量", "乙肝表面抗体定量", "乙肝e抗原", "乙肝e抗体", "乙肝核心抗体", "丙型肝炎抗体", ["螺旋体特异抗体", "梅毒螺旋体抗体"], ["人免疫缺陷病毒", "人类免疫缺陷病毒"], ], 'test_result_col_name':"result_str"},
+            # 血气分析+生化分析 # (16):血气分析+生化六项[复]/血气分析3, (49):血气分析+生化六项[复], (50):血气分析+生化五项[复], (73/74):血气分析+生化十项[复], (89):血气分析+生化六项[复], (112):血气分析/血气分析+生化七项[复], (158):血气分析+生化六项[复]；(42):血气分析+生化六项[复]
+            {'test_rptunitid':[str(16), str(49), str(50), str(73), str(74), str(89), str(112), str(158),str(42)], 'test_check_name':'血气分析+生化分析', 'test_check_list':["体温", "吸氧流量", "酸碱度", "氧分压", "二氧化碳分压", "二氧化碳总量", "红细胞压积", "总血红蛋白", "氧饱和度", "Na+钠离子浓度", "钾离子浓度", "钙离子浓度", "氯离子浓度", "标准离子钙", "氢离子浓度", "酸碱度计算值", "PCO2分压计算值", "p氧分压计算值", "pO2(A-a)(T)_r", "pO2(a/A)(T)_r", "呼吸指数计算值", "pO2(T)/FIO2_r", "氢离子浓度", "HCO3-act_r", "HCO3-std_r", "BE(ecf)_r", "血液缓冲碱", "ctCO2", "pO2(A-a)_r", "pO2(a/A)_r", "呼吸指数", "氧和指数", "阴离子间隙", "渗透压", "血糖", "乳酸", "实际碳酸氢盐", "标准碳酸氢盐", "实际碱剩余", "标准碱剩余", "细胞外液剩余碱","氧合血红蛋白","一氧化碳血红蛋白", "还原血红蛋白","高铁血红蛋白", "总胆红素", "A-aDO2", "pAO2", "paO2/pAO2", "50%饱和度氧分压", "动脉血氧含量", "肺泡动脉氧分压差", "动脉氧分压与肺泡氧分压之比", "pCO2(T)", "pO2(T)", "PH(T)", "吸氧浓度","平均肺泡氧分压"],\
+             'test_check_list_all':["体温", "吸氧流量", "酸碱度", "氧分压", "二氧化碳分压", "二氧化碳总量", "红细胞压积", "总血红蛋白", "氧饱和度", ["Na\+钠离子浓度", "钠离子"], ["钾离子浓度","钾离子"], ["钙离子浓度","钙离子"], ["氯离子浓度","氯离子"], ["标准离子钙","PH=7.4的钙"], "氢离子浓度", "酸碱度计算值", "PCO2分压计算值", "p氧分压计算值", r"pO2\(A-a\)\(T\)_r", r"pO2\(a/A\)\(T\)_r", "呼吸指数计算值", r"pO2\(T\)/FIO2_r", "氢离子浓度", "HCO3-act_r", "HCO3-std_r", r"BE\(ecf\)_r", "血液缓冲碱", "ctCO2", r"pO2\(A-a\)_r", r"pO2\(a/A\)_r", "呼吸指数", "氧和指数", "阴离子间隙", "渗透压", "血糖", "乳酸", ["实际碳酸氢盐","血浆碳酸氢盐浓度"], "标准碳酸氢盐", ["血液剩余碱","实际碱剩余"], "标准碱剩余", "细胞外液剩余碱","氧合血红蛋白","一氧化碳血红蛋白", "还原血红蛋白","高铁血红蛋白", "总胆红素",  "A-aDO2", "pAO2", "paO2/pAO2", "50%饱和度氧分压", "动脉血氧含量", "肺泡动脉氧分压差", "动脉氧分压与肺泡氧分压之比", r"pCO2\(T\)", r"pO2\(T\)", r"PH\(T\)", "吸氧浓度","平均肺泡氧分压"], 'test_result_col_name':"result_str"},
+            # 感染指标 # (77)/(92)/(113)/(126)/(77)/(82)/:新型冠状病毒核酸检测[复]； (75):新型冠状病毒抗体； (25):新冠核酸检测[复]/乙肝病毒DNA含量/结核杆菌定量测定；str(121)/str(37):一般细菌涂片检查；str(111):乙型肝炎DNA定量测定；str(29):免疫8项；str(34):内毒素+D葡聚糖测定，str(38)/(116):红细胞沉降率测定；str(36):结核Xpert鉴定及耐药[复]；str(10):结核感染T细胞检测；str(24):自身抗体谱测定(18项)；str(23):血清肌钙蛋白I测定
+            {'test_rptunitid':[str(77),str(25),str(92),str(113),str(126),str(75),str(77),str(82),str(30),str(121),str(37),str(111),str(29),str(34),str(38),str(116),str(36),str(10),str(23)], 'test_check_name':'感染指标', 'test_check_list':["新型冠状病毒抗体IgG","新型冠状病毒抗体IgM", "新型冠状病毒核酸检测","新型冠状病毒核酸混检", "乙肝病毒DNA含量","结核杆菌定量测定", "EB病毒定量测定","巨细胞病毒定量测定","白细胞","上皮细胞","革兰氏阳性球菌","革兰氏阴性球菌","革兰氏阴性球杆菌","革兰氏阳性杆菌","革兰氏阴性杆菌","真菌菌丝" ,"真菌孢子","抗酸染色", "HPV6","HPV11","抗链球菌溶血素O定量测定","KAP轻链","LAM轻链","免疫球蛋白IgE","免疫球蛋白G","免疫球蛋白M","免疫球蛋白A","补体C3","补体C4","类风湿因子","C反应蛋白","G-脂多糖","1-3-β-D葡聚糖","抗心磷脂IgG抗体","EB病毒核心抗原IgG抗体","EB病毒衣壳抗原IgG抗体","EB病毒早期抗原IgM抗体","EB病毒衣壳抗原IgM抗体","红细胞沉降率测定","降钙素原",r"淋巴细胞培养+干扰素\(基础水平N\)",r"结核杆菌γ干扰素释放试验\(T-N\)",r"结核杆菌阳性对照反应\(M-N\)",r"结核杆菌特异性细胞免疫反应提示", "抗dsDNA抗体","抗核小体抗体","抗组蛋白抗体","抗SmD1抗体","抗PCNA抗体","抗核糖体P蛋白测定","抗SSA/Ro60kD抗体","抗SSA/Ro52kD抗体","抗ssb抗体","抗CENPB抗体","抗Scl-70抗体","抗U1-snRNP抗体","抗Jo-1抗体","抗PM-Scl抗体","抗Ku抗体","抗AMA-M2抗体","抗Mi-2抗体",r"抗核抗体\(1:80\)","高敏肌钙蛋白I" ],\
+             'test_check_list_all':["新型冠状病毒抗体IgG","新型冠状病毒抗体IgM",["新型冠状病毒核酸检测", "新型冠状病毒核酸快速检测"], r"新型冠状病毒核酸检测\(混检\)",["乙肝病毒DNA含量","乙型肝炎病毒DNA定量"],"结核杆菌定量测定", "EB病毒定量测定","巨细胞病毒定量测定","白细胞","上皮细胞",["革兰氏阳性球菌","革兰阳性球菌"],["革兰阴性球菌","革兰氏阴性球菌"],"革兰氏阴性球杆菌",["革兰阳性杆菌","革兰氏阳性杆菌"],["革兰阴性杆菌","革兰氏阴性杆菌"],"真菌菌丝","真菌孢子","抗酸染色","HPV6","HPV11","抗链球菌溶血素O定量测定","KAP轻链","LAM轻链","免疫球蛋白IgE","免疫球蛋白G","免疫球蛋白M","免疫球蛋白A","补体C3","补体C4","类风湿因子","C反应蛋白","G-脂多糖","1-3-β-D葡聚糖","抗心磷脂IgG抗体","EB病毒核心抗原IgG抗体","EB病毒衣壳抗原IgG抗体","EB病毒早期抗原IgM抗体","EB病毒衣壳抗原IgM抗体","红细胞沉降率测定","降钙素原",r"淋巴细胞培养+干扰素\(基础水平N\)",r"结核杆菌γ干扰素释放试验\(T-N\)",r"结核杆菌阳性对照反应\(M-N\)",r"结核杆菌特异性细胞免疫反应提示","抗dsDNA抗体","抗核小体抗体","抗组蛋白抗体","抗SmD1抗体","抗PCNA抗体","抗核糖体P蛋白测定","抗SSA/Ro60kD抗体","抗SSA/Ro52kD抗体","抗ssb抗体","抗CENPB抗体","抗Scl-70抗体","抗U1-snRNP抗体","抗Jo-1抗体","抗PM-Scl抗体","抗Ku抗体","抗AMA-M2抗体","抗Mi-2抗体",r"抗核抗体\(1:80\)","高敏肌钙蛋白I"], 'test_result_col_name':"result_str"},
+            # 基因检测指标 # (41):CYP2C19基因检测[复]
+            {'test_rptunitid':[str(41)], 'test_check_name':'基因检测指标', 'test_check_list':[r"GG_681GG\)",r"GG_681GA\)",r"GA_681GG\)",r"GG_681AA\)",r"AA_681GG\)",r"GA_681GA\)" ],\
+             'test_check_list_all':[r"\*1/\*1\(636", r"\*1/\*2\(636",r"\*1/\*3\(636", r"\*2/\*2\(636",r"\*3/\*3\(636", r"\*2/\*3\(636", ], 'test_result_col_name':"result_ref"},
+             # 心衰系列 # str(20):B型前脑尿钠肽, str(16):B型前脑尿钠肽检测（Pro-BN_降钙素原检；str(108):B型尿钠肽检测（BNP)
+            {'test_rptunitid':[str(20),str(16)], 'test_check_name':'心衰系列', 'test_check_list':['B型前脑尿钠肽','高敏肌钙蛋白T'],\
+             'test_check_list_all':['B型前脑尿钠肽','高敏肌钙蛋白T'], 'test_result_col_name':"result_str"},
+             # 普通指标 # str(79),str(51):卡式血型鉴定；str(12):肝纤维化指标（五项）；str(22)/(33):胃液常规检查；str(161):甲功五项（化学发光法）[复]
+            {'test_rptunitid':[str(79),str(51),str(12),str(22),str(33),str(161)], 'test_check_name':'普通指标', 'test_check_list':['ABO正定型','ABO反定型','ABO血型',r'Rh\(D\)血型','TPO过氧化物酶自身抗体','T4甲状腺素','T3三碘甲腺原氨酸','FT4游离甲状腺素','FT3游离三碘甲腺原氨酸','h-TSH促甲状腺激素','TGAB甲状腺球蛋白抗体','TMAB甲状腺微粒体抗体','隐血'],\
+             'test_check_list_all':['ABO正定型','ABO反定型','ABO血型',r'Rh\(D\)血型','TPO过氧化物酶自身抗体','T4甲状腺素','T3三碘甲腺原氨酸','FT4游离甲状腺素','FT3游离三碘甲腺原氨酸','h-TSH促甲状腺激素','TGAB甲状腺球蛋白抗体','TMAB甲状腺微粒体抗体','隐血'], 'test_result_col_name':"result_str"},
+            # 免疫系列 # str(14):'促甲状腺素受体抗体测定
+            {'test_rptunitid':[str(14)], 'test_check_name':'免疫系列', 'test_check_list':['甲状腺球蛋白','促甲状腺激素','血清甲状腺素','血清三碘甲状原氨酸','血清游离甲状腺素','血清游离三碘甲状原氨酸','抗甲状腺球蛋白抗体','抗甲状腺过氧化物酶抗体'],\
+             'test_check_list_all':['甲状腺球蛋白','促甲状腺激素','血清甲状腺素','血清三碘甲状原氨酸','血清游离甲状腺素','血清游离三碘甲状原氨酸','抗甲状腺球蛋白抗体','抗甲状腺过氧化物酶抗体'], 'test_result_col_name':"result_str"},
+             # 特殊指标 # str(10):血管内皮生长因子检测；str(46):
+            {'test_rptunitid':[str(10)], 'test_check_name':'特殊指标', 'test_check_list':['血管内皮生长因子_血管内皮生长因子检测',r'Th1/Th2/Th17亚群十二项细胞因子_白介素\(IL\)检测\(IL-1β\)',r'白介素（IL）检测\(IL-2\)',r'白介素（IL）检测\(IL-4\)',r'白介素（IL）检测\(IL-5\)',r'白介素（IL）检测\(IL-6\)',r'白介素（IL）检测\(IL-8\)',r'白介素（IL）检测\(IL-10\)',r'白介素（IL）检测\(IL-12p\)',r'白介素（IL）检测\(IL-17\)',r'干扰素（IFN）测定\(IFN-α\)',r'干扰素（IFN）测定\(IFN-γ\)',r'肿瘤坏死因子测定'],\
+             'test_check_list_all':['血管内皮生长因子检测',r'白介素\(IL\)检测\(IL-1β\)',r'白介素（IL）检测\(IL-2\)',r'白介素（IL）检测\(IL-4\)',r'白介素（IL）检测\(IL-5\)',r'白介素（IL）检测\(IL-6\)',r'白介素（IL）检测\(IL-8\)',r'白介素（IL）检测\(IL-10\)',r'白介素（IL）检测\(IL-12p\)',r'白介素（IL）检测\(IL-17\)',r'干扰素（IFN）测定\(IFN-α\)',r'干扰素（IFN）测定\(IFN-γ\)',r'肿瘤坏死因子测定',], 'test_result_col_name':"result_str"},
+            # 内分泌代谢系列 # str(12):尿β2-MG；str(7):尿液儿茶酚胺测定八项[复]；str(7):抗中性粒细胞胞浆抗体测定（ANC;
+            {'test_rptunitid':[str(12),str(7),str(17),str(161)], 'test_check_name':'内分泌代谢系列', 'test_check_list':['尿β2-MG','游离肾上腺素','游离去甲肾上腺素','游离多巴胺','游离甲氧基肾上腺素','游离甲氧基去甲肾上腺素','游离3-甲氧基酪胺','尿香草扁桃酸','高香草酸','24小时尿（体液）量','尿24小时游离肾上腺素','尿24小时游离去甲肾上腺素','尿24小时游离多巴胺','尿24小时游离甲氧基肾上腺素','尿24小时游离甲氧基去甲肾上腺素','尿24小时游离3-甲氧基酪胺','尿24小时香草扁桃酸','尿24小时高香草酸', 'cANCA','pANCA','抗蛋白酶3抗体','抗髓过氧化物酶抗体','ANA','非典型性ANCA','*MPO标准品1','*MPO标准品2','*MPO标准品3','*PR3标准品1','*PR3标准品2','*PR3标准品3'],\
+             'test_check_list_all':['尿β2-MG','游离肾上腺素','游离去甲肾上腺素','游离多巴胺','游离甲氧基肾上腺素','游离甲氧基去甲肾上腺素','游离3-甲氧基酪胺','尿香草扁桃酸','高香草酸','24小时尿（体液）量','尿24小时游离肾上腺素','尿24小时游离去甲肾上腺素','尿24小时游离多巴胺','尿24小时游离甲氧基肾上腺素','尿24小时游离甲氧基去甲肾上腺素','尿24小时游离3-甲氧基酪胺','尿24小时香草扁桃酸','尿24小时高香草酸','cANCA','pANCA','抗蛋白酶3抗体','抗髓过氧化物酶抗体','ANA','非典型性ANCA',r'\*MPO标准品1',r'\*MPO标准品2',r'\*MPO标准品3',r'\*PR3标准品1',r'\*PR3标准品2',r'\*PR3标准品3'], 'test_result_col_name':"result_str"},
+            # 用药指导 # str(78):用药指导基因检测他汀类药物两项
+            {'test_rptunitid':[str(78),str(40)], 'test_check_name':'用药指导', 'test_check_list':[r'VKORC1\(1639G>A\)',r'CYP2C9*3\(1075A>C\)',r'ALDH2\(1510G>A\)',r'ApoE\(526',r'SLCO1B1*5\(521'],\
+             'test_check_list_all':[r'VKORC1\(1639G>A\)',r'CYP2C9*3\(1075A>C\)',r'ALDH2\(1510G>A\)',r'ApoE\(526',r'SLCO1B1*5\(521'], 'test_result_col_name':"result_str"},
+             ]
+
+# 生成基本存储信息文件
+# 如果有文件则将其删除
+if os.path.exists(result_save_pth):
+    os.remove(result_save_pth)
+# 生成抬头信息
+front_content=[] # 抬头个人信息
+for front in Front_line:
+    front_content.append(front)
+# 生成basic存储信息
+basic_content=[] # basic个人信息
+for basic in Basic_line:
+    basic_content.append(basic)
+# 生成各个检测sheet：head+basic+items+[not_match]
+for test in ALL_tests: # 各项检测信息
+    # 生成未匹配检查内容
+    if show_not_match == True:
+        add_content_to_excel(result_save_pth, test['test_check_name'], front_content + basic_content + test["test_check_list"] + ['未匹配检测内容'])
+    else:
+        add_content_to_excel(result_save_pth, test['test_check_name'], front_content + basic_content + test["test_check_list"])
+
+
+####### 获取所有患者头部信息（Front_line） #######
+front_line_data = []
+# 遍历所有患者（pat_no）
+for row in reader_Patients_info:
+    data = {}
+    for item in Front_line:
+        if Front_line[item] == 'pat_no':
+            if data_type == "pat_no":
+                data[Front_line[item]] = f"{int(row['pat_no']):010}"
+            elif data_type == "zhuyuanhao":
+                data[Front_line[item]] = f"{row['pat_no']}"
+        else:
+            data[Front_line[item]] = row[Front_line[item]]
+    front_line_data.append(data)
+# 将字典转换为元组，并放入集合中去重
+front_line_data = set(tuple(sorted(d.items())) for d in front_line_data)
+# 将去重后的元组转换回字典，并放入新的列表
+front_line_data = [dict(t) for t in front_line_data]
+
+####### 获取所有患者检测信息（base_line，pat_no/pato_no.csv） #######
+# 遍历所有患者（pat_no）
+for pat_no in pat_no_col:
+    # 信息头生成
+    excel_head = []
+    for d in front_line_data:
+        if d["pat_no"] == pat_no:
+            for item in Front_line:
+                excel_head.append(d[Front_line[item]])
+            break
+    # 如果头文件为空
+    if excel_head == []:
+        Error(str(pat_no)+"的excel_head为空")
+        exit()
+    print("__处理患者头为__:", excel_head)
+    # 遍历所有rptunitid
+    for test in ALL_tests:
+        # 特定检查rptunitid
+        test_rptunitid = test['test_rptunitid']
+        if not isinstance(test_rptunitid, list) and not isinstance(test_rptunitid, tuple):
+            test_rptunitid = [test_rptunitid]
+        # 检查名
+        test_check_name = test['test_check_name']
+        # 检查项
+        test_check_list_all = test['test_check_list_all']
+        # 检查项_名
+        test_check_list = test['test_check_list']
+        if len(test_check_list_all) != len(test_check_list):
+            Error("test_check_list_all长度和test_check_list不同")
+            print(f"test_check_list_all:{test_check_list_all}\ntest_check_list:{test_check_list}")
+            exit()
+        # 检查结果所在列的列名
+        test_result_col_name = test['test_result_col_name']
+        # 存放检查结果的dict
+        test_check_result = {}
+        
+        print("获取患者 ", test_check_name, " 检查结果")
+    
+        ### 打开patno/pat_no.csv文件获取更详细信息 ###
+        with open(osp.join(patno_dir, pat_no+'.csv'), "r", encoding='utf-8-sig') as file:
+            reader = csv.DictReader(file) # 读取文件
+            # 汇总特定检查行
+            test_rptunitid_rows  = [ row for row in reader if row['rptunitid'] in test_rptunitid ]
+            print("患者检查 ", test_check_name, "次数为", len(test_rptunitid_rows))
+
+            # 遍历所有特定检查行，提取关键信息
+            rows_not_match = [] # 每一行内不匹配的内容
+            for i in range(len(test_rptunitid_rows)):
+                print("处理患者第", i+1, "次检查")
+                row_1 = test_rptunitid_rows[i]
+                sampled_dt = row_1['sampled_dt'] # 获取时间信息
+                ###### basic信息头生成 ######
+                excel_basic = []
+                for item in Basic_line:
+                    excel_basic.append(row_1[Basic_line[item]])
+                
+                ### 打开Patient_detail_infos/pat_no/文件 ###，获取特定检查文件存储路径
+                if data_type == "zhuyuanhao":
+                    row_file_path = os.path.join(Patient_detail_infos_dir, pat_no, 'None' + "_" + row_1['reporttype'] + "_" + row_1['rptunitid'] + "_" + row_1['reportid'].replace("_","-") + "_" + row_1['rechkdt'].replace(" ","-").replace(":","-").replace("_","-") +".csv")
+                elif data_type == "pat_no":
+                    row_file_path = os.path.join(Patient_detail_infos_dir, pat_no, pat_no + "_" + row_1['reporttype'] + "_" + row_1['rptunitid'] + "_" + row_1['reportid'].replace("_","-") + "_" + row_1['rechkdt'].replace(" ","-").replace(":","-").replace("_","-") +".csv")
+                with open(row_file_path, "r") as row_file:
+                    row_reader_ = csv.DictReader(row_file) # 读取文件，迭代器只能读取一次
+                    row_reader = []
+                    for r in row_reader_:
+                        row_reader.append(r)
+                    # 寻找所有检查项的值
+                    match = False # 检测内容中是否含有检测项目
+                    rows_not_match = [] # 每一行内不匹配的内容
+                    # 遍历所有行，查看对应检查结果
+                    for row_2 in row_reader:
+                        row_test_name_exist = False
+                        row_test_name = row_2['rpt_itemname']
+                        # 遍历所有待检查项
+                        for j in range(len(test_check_list_all)):
+                            # 检查项名称
+                            test_result_name = test_check_list[j]
+                            # 遍历所有完整版检查项目
+                            test_checks = test_check_list_all[j]
+                            if isinstance(test_checks, str):
+                                test_checks = [test_checks]
+                            for test_check in test_checks:
+                                # print(test_check, row_2['rpt_itemname'],"___")
+                                if match_re(row_test_name, test_check):# test_check == row_test_name: # 检测项目属于其中
+                                    match = True
+                                    row_test_name_exist = True
+                                    # temp临时存储变量，如果其为'.'，则结果变为'None'
+                                    temp = row_2[test_result_col_name]
+                                    if (temp == '.' or temp == '') :
+                                        temp = 'None' 
+                                    test_check_result[test_result_name] = temp
+                                    break
+                            # 如果结果中存在row_test_name_exist的话，退出循环
+                            if row_test_name_exist == True:
+                                break
+                        # 如果没有row_test_name_exist的话，将信息加入行信息中
+                        if row_test_name_exist == False: 
+                            rows_not_match.append(row_test_name)
+
+                    # 如果没有寻找到对应test_check_result的话，设置为Not_Find
+                    for test_result_name in test_check_list:
+                        if not test_result_name in  test_check_result:
+                            test_check_result[test_result_name] = 'Not_Find'
+
+                    # 如果没有检测到相匹配内容，且不输出所有信息，continue
+                    if (match == False and show_all_infos == False):
+                        continue
+                    # 进行进一步操作 ing...    
+                    
+                    
+                    # 抽取结果格式转换
+                    excel_fromat_result = []
+                    for test_item in test['test_check_list']:
+                        excel_fromat_result.append(test_check_result[test_item])
+                    # print("输出结果：", excel_fromat_result)
+                    if show_not_match == True:
+                        add_content_to_excel(result_save_pth, test['test_check_name'], excel_head + excel_basic + excel_fromat_result + rows_not_match)
+                    else:
+                        add_content_to_excel(result_save_pth, test['test_check_name'], excel_head + excel_basic + excel_fromat_result)
+    
+    # 每处理一个患者数据，保存相关信息
+save_excel()                
+     
+
+
+
--- a/app/processors/V2-Every_Pat_File_convert_Lab_Test_data.py
+++ b/app/processors/V2-Every_Pat_File_convert_Lab_Test_data.py
@@ -0,0 +1,325 @@
+#!/usr/bin/env python3
+# -*- coding: UTF-8 -*-
+import csv, sys, os, copy, re, argparse
+import os.path as osp
+from openpyxl import Workbook, load_workbook
+from V2_Data import Front_line, Basic_line, ALL_tests
+
+# 向特定excel的sheet中添加内容
+workbook = None  # 全局变量，初始值为 None
+file_path_g = None
+def add_content_to_excel(file_path, sheet_name, content):
+    global workbook, file_path_g # 声明 workbook 为全局变量
+    # 如果改换工作路径且workbook不为空
+    if file_path_g != file_path and not (workbook is None):
+        # 保存工作簿
+        workbook.save(file_path_g)
+        print("保存Excel工作表在：", file_path_g)
+    elif file_path_g != file_path:
+        try:
+            # 尝试加载现有的工作簿
+            workbook = load_workbook(file_path)
+        except FileNotFoundError:
+            # 如果文件不存在，则创建一个新的工作簿
+            workbook = Workbook()
+    file_path_g = file_path
+
+    if sheet_name not in workbook.sheetnames:
+        # 如果工作表不存在，则创建一个新的工作表
+        workbook.create_sheet(sheet_name)
+
+    # 选择指定的工作表
+    sheet = workbook[sheet_name]
+
+    # 向工作表添加内容
+    # 检查列表的第一个元素
+    if isinstance(content, list) and content and isinstance(content[0], list):
+        # "二维列表"
+        for row in content:
+            sheet.append(row)
+    elif isinstance(content, list):
+        # "一维列表"
+        sheet.append(content)
+    elif isinstance(content, str):
+        # "字符串"
+        sheet.append([content])
+    else:
+        print('add_content_to_excel输入参数为', content, '其不是列表、字符串')
+
+def save_excel():
+    global workbook, file_path_g
+    if not (workbook is None):
+        # 保存工作簿
+        print("Excel工作表保存在：", file_path_g)
+        workbook.save(file_path_g)
+
+# 判断字符串是否匹配正则表达式
+def match_re(string, pattern):
+    if re.match(pattern, string):
+        return True
+    else:
+        return False
+
+# 输出错误函数
+def Error(output_str="Error:", error_dir="Error.txt"):
+    # 打开 error.txt 文件并写入字符串
+    with open(error_dir, "a+", encoding="utf-8-sig") as file:
+        # 将字符串输出到标准错误流 sys.stderr
+        file.write(output_str+'\n')
+        RED = '\033[91m'
+        RESET = '\033[0m'
+        print(RED+output_str+RESET)
+
+parser = argparse.ArgumentParser(description='数据处理脚本参数解析')
+# 1. 数据文件夹所在路径
+parser.add_argument('--file_dir', type=str, required=True, help='数据文件夹所在路径')
+# 2. 最终结果保存文件名
+parser.add_argument('--result_save_file_name', type=str, required=True, help='最终结果保存文件名')
+# 3. 是否输出不匹配内容【True/False】
+parser.add_argument('--show_not_match', type=str, choices=['True', 'False'], required=True, help='是否输出不匹配内容')
+# 4. 是否输出全部信息（包括全无项）【True/False】
+parser.add_argument('--show_all_infos', type=str, choices=['True', 'False'], required=True, help='是否输出全部信息（包括全无项）')
+# 5. 患者数据类型【pat_no / zhuyuanhao】
+parser.add_argument('--data_type', type=str, choices=['pat_no', 'zhuyuanhao'], required=True, help='患者数据类型')
+args = parser.parse_args()
+
+# 1.获取参数
+file_dir = args.file_dir
+result_save_file_name = args.result_save_file_name
+data_type = args.data_type
+# 将布尔类型的字符串转换为布尔值
+show_not_match = args.show_not_match == 'True'
+show_all_infos = args.show_all_infos == 'True'
+
+# 2.1. 打开Patients_info.csv文件，遍历出所有有效患者
+
+Patients_info_pth = osp.join(file_dir, 'Patients_info.csv')
+# 检查文件是否存在
+if not os.path.exists(Patients_info_pth):
+    print(f"{Patients_info_pth}不存在，请将 Patients_info.csv 移动到文件夹中")
+    sys.exit(1)  # 退出程序
+with open(Patients_info_pth, "r", encoding="utf-8-sig") as file:
+    reader_ = csv.DictReader(file)
+    reader_Patients_info = []
+    for r in reader_:
+        reader_Patients_info.append(r)
+    # 读取pat_no列数据
+    if data_type == "pat_no":
+        pat_no_col = [f"{int(row['pat_no']):010}" for row in reader_Patients_info]
+    elif data_type == "zhuyuanhao":
+        pat_no_col = [f"{row['pat_no']}" for row in reader_Patients_info]
+    else:
+        print("数据类型需要为pat_no或zhuyuanhao")
+    pat_no_col = list(set(pat_no_col)) # 去除数组中重复内容
+
+# 2.2. 获取所有患者头部信息（Front_line）
+front_line_data = []
+# 遍历所有患者（pat_no）
+for row in reader_Patients_info:
+    data = {}
+    for item in Front_line:
+        if Front_line[item] == 'pat_no':
+            if data_type == "pat_no":
+                data[Front_line[item]] = f"{int(row['pat_no']):010}"
+            elif data_type == "zhuyuanhao":
+                data[Front_line[item]] = f"{row['pat_no']}"
+        else:
+            data[Front_line[item]] = row[Front_line[item]]
+    front_line_data.append(data)
+# 将字典转换为元组，并放入集合中去重
+front_line_data = set(tuple(sorted(d.items())) for d in front_line_data)
+# 将去重后的元组转换回字典，并放入新的列表
+front_line_data = [dict(t) for t in front_line_data]
+
+# 3. 生成信息
+for pat_no in os.listdir(file_dir): # 遍历 file_dir 下的所有文件和文件夹
+    
+    # 向特定excel的sheet中添加内容
+    workbook = None  # 全局变量，初始值为 None
+    file_path_g = None
+
+    # 获取文件夹的完整路径
+    pat_file_dir = os.path.join(file_dir, pat_no)  # 获取完整路径
+    result_save_pth = osp.join(pat_file_dir, pat_no+"_"+result_save_file_name+".xlsx")
+
+    if os.path.isdir(pat_file_dir):  # 判断是否是文件夹
+        print(f"处理文件夹: {pat_file_dir}") 
+        If_continue = False
+        # Tests_List目录的路径
+        patno_pth = osp.join(pat_file_dir, pat_no+"_检测汇总.csv")
+        if not osp.exists(patno_pth):
+            Error(f"{pat_no+'_检测汇总.csv'} 在 {pat_no} 文件夹中不存在", error_dir=osp.join(pat_file_dir, f"{pat_no+'_检测汇总.csv'} 在文件夹中不存在.txt"))
+            If_continue = True
+        # Tests_List目录的路径
+        Patient_detail_infos_dir = osp.join(pat_file_dir, pat_no+'_具体检测')
+        if not osp.exists(Patient_detail_infos_dir):
+            Error(f"{pat_no+'_具体检测'} 在 {pat_no} 文件夹中不存在", error_dir=osp.join(pat_file_dir, f"{pat_no+'_具体检测.csv'} 在文件夹中不存在.txt"))
+            If_continue = True
+        RED = '\033[91m'
+        RESET = '\033[0m'
+        if If_continue == True:
+            continue
+    else:
+        continue
+    
+    
+
+    print("")
+    print(f"※当前住院号为：{pat_no}")
+
+    # 删除Error文件
+    error_dir=osp.join(pat_file_dir, "Error.txt")
+    if os.path.exists(error_dir):
+        os.remove(error_dir)
+        print("删除Error文件:", error_dir)
+
+    # 生成基本存储信息文件
+    # 如果有文件则将其删除
+    if os.path.exists(result_save_pth):
+        os.remove(result_save_pth)
+    # 生成抬头信息
+    front_content=[] # 抬头个人信息
+    for front in Front_line:
+        front_content.append(front)
+    # 生成basic存储信息
+    basic_content=[] # basic个人信息
+    for basic in Basic_line:
+        basic_content.append(basic)
+    # 生成各个检测sheet：head+basic+items+[not_match]
+    for test in ALL_tests: # 各项检测信息
+        # 生成未匹配检查内容
+        if show_not_match == True:
+            add_content_to_excel(result_save_pth, test['test_check_name'], front_content + basic_content + test["test_check_list"] + ['未匹配检测内容'])
+        else:
+            add_content_to_excel(result_save_pth, test['test_check_name'], front_content + basic_content + test["test_check_list"])
+
+    # 信息头生成
+    excel_head = []
+    for d in front_line_data:
+        if d["pat_no"] == pat_no:
+            for item in Front_line:
+                excel_head.append(d[Front_line[item]])
+            break
+    # 如果头文件为空
+    if excel_head == []:
+        Error(str(pat_no)+"的excel_head为空", error_dir=osp.join(pat_file_dir, "Error.txt"))
+        exit()
+
+    # 读取pat_no列数据
+    if data_type == "pat_no":
+        pat_no = f"{int(pat_no):010}"
+    elif data_type == "zhuyuanhao":
+        pat_no = f"{pat_no}"
+    else:
+        print("数据类型需要为pat_no或zhuyuanhao")
+
+    ####### 获取所有患者检测信息（base_line，pat_no/pato_no.csv） #######
+    # 遍历所有患者（pat_no）
+        
+    # 遍历所有rptunitid
+    for test in ALL_tests:
+        # 特定检查rptunitid
+        test_rptunitid = test['test_rptunitid']
+        if not isinstance(test_rptunitid, list) and not isinstance(test_rptunitid, tuple):
+            test_rptunitid = [test_rptunitid]
+        # 检查名
+        test_check_name = test['test_check_name']
+        # 检查项
+        test_check_list_all = test['test_check_list_all']
+        # 检查项_名
+        test_check_list = test['test_check_list']
+        if len(test_check_list_all) != len(test_check_list):
+            Error("test_check_list_all长度和test_check_list不同", error_dir=osp.join(pat_file_dir, "Error.txt"))
+            print(f"test_check_list_all:{test_check_list_all}\ntest_check_list:{test_check_list}")
+            exit()
+        # 检查结果所在列的列名
+        test_result_col_name = test['test_result_col_name']
+        # 存放检查结果的dict
+        test_check_result = {}
+        
+        print("获取患者 ", test_check_name, " 检查结果")
+    
+        ### 打开patno/pat_no.csv文件获取更详细信息 ###
+        with open(patno_pth, "r", encoding="utf-8-sig") as file:
+            reader = csv.DictReader(file) # 读取文件
+            # 汇总特定检查行
+            test_rptunitid_rows  = [ row for row in reader if row['rptunitid'] in test_rptunitid ]
+            print("患者检查 ", test_check_name, "次数为", len(test_rptunitid_rows))
+
+            # 遍历所有特定检查行，提取关键信息
+            rows_not_match = [] # 每一行内不匹配的内容
+            for i in range(len(test_rptunitid_rows)):
+                print("处理患者第", i+1, "次检查")
+                row_1 = test_rptunitid_rows[i]
+                sampled_dt = row_1['sampled_dt'] # 获取时间信息
+                ###### basic信息头生成 ######
+                excel_basic = []
+                for item in Basic_line:
+                    excel_basic.append(row_1[Basic_line[item]])
+                
+                ### 打开Patient_detail_infos/pat_no/文件 ###，获取特定检查文件存储路径
+                if data_type == "zhuyuanhao":
+                    row_file_path = os.path.join(Patient_detail_infos_dir, 'None' + "_" + row_1['reporttype'] + "_" + row_1['rptunitid'] + "_" + row_1['reportid'].replace("_","-") + "_" + row_1['rechkdt'].replace(" ","-").replace(":","-").replace("_","-") +".csv")
+                elif data_type == "pat_no":
+                    row_file_path = os.path.join(Patient_detail_infos_dir, pat_no + "_" + row_1['reporttype'] + "_" + row_1['rptunitid'] + "_" + row_1['reportid'].replace("_","-") + "_" + row_1['rechkdt'].replace(" ","-").replace(":","-").replace("_","-") +".csv")
+                with open(row_file_path, "r", encoding="utf-8-sig") as row_file:
+                    row_reader_ = csv.DictReader(row_file) # 读取文件，迭代器只能读取一次
+                    row_reader = []
+                    for r in row_reader_:
+                        row_reader.append(r)
+                    # 寻找所有检查项的值
+                    match = False # 检测内容中是否含有检测项目
+                    rows_not_match = [] # 每一行内不匹配的内容
+                    # 遍历所有行，查看对应检查结果
+                    for row_2 in row_reader:
+                        row_test_name_exist = False
+                        row_test_name = row_2['rpt_itemname']
+                        # 遍历所有待检查项
+                        for j in range(len(test_check_list_all)):
+                            # 检查项名称
+                            test_result_name = test_check_list[j]
+                            # 遍历所有完整版检查项目
+                            test_checks = test_check_list_all[j]
+                            if isinstance(test_checks, str):
+                                test_checks = [test_checks]
+                            for test_check in test_checks:
+                                # print(test_check, row_2['rpt_itemname'],"___")
+                                if match_re(row_test_name, test_check):# test_check == row_test_name: # 检测项目属于其中
+                                    match = True
+                                    row_test_name_exist = True
+                                    # temp临时存储变量，如果其为'.'，则结果变为'None'
+                                    temp = row_2[test_result_col_name]
+                                    if (temp == '.' or temp == '') :
+                                        temp = 'None' 
+                                    test_check_result[test_result_name] = temp
+                                    break
+                            # 如果结果中存在row_test_name_exist的话，退出循环
+                            if row_test_name_exist == True:
+                                break
+                        # 如果没有row_test_name_exist的话，将信息加入行信息中
+                        if row_test_name_exist == False: 
+                            rows_not_match.append(row_test_name)
+
+                    # 如果没有寻找到对应test_check_result的话，设置为Not_Find
+                    for test_result_name in test_check_list:
+                        if not test_result_name in  test_check_result:
+                            test_check_result[test_result_name] = 'Not_Find'
+
+                    # 如果没有检测到相匹配内容，且不输出所有信息，continue
+                    if (match == False and show_all_infos == False):
+                        continue
+                    # 进行进一步操作 ing...    
+                    
+                    
+                    # 抽取结果格式转换
+                    excel_fromat_result = []
+                    for test_item in test['test_check_list']:
+                        excel_fromat_result.append(test_check_result[test_item])
+                    # print("输出结果：", excel_fromat_result)
+                    if show_not_match == True:
+                        add_content_to_excel(result_save_pth, test['test_check_name'], excel_head + excel_basic + excel_fromat_result + rows_not_match)
+                    else:
+                        add_content_to_excel(result_save_pth, test['test_check_name'], excel_head + excel_basic + excel_fromat_result)
+    
+    # 每处理一个患者数据，保存相关信息
+    save_excel()
--- a/app/processors/V2_Data.py
+++ b/app/processors/V2_Data.py
@@ -0,0 +1,54 @@
+global Front_line 
+global Basic_line 
+global ALL_tests
+# 3.遍历所有患者打开patno文件夹中的patno.csv
+# 获取患者头部信息（提取于Patients_info.csv）
+Front_line = {'姓名':'pat_name', '住院号':'pat_no'}
+# 获取患者检测基本信息（提取于patno文件夹）
+Basic_line = {'采样时间': 'sampled_dt', '检测原因':'req_reason'}
+# 所有检测具体信息（提取于Patient_detail_infos文件夹）
+# 一个检查包括：检测rptunitids、检查名(自主命名)、检查项、检查结果所在列、存放结果dict
+#{'test_rptunitid':[str(X), str(X)], 'test_check_name':'XXX', 'test_check_list':["XXX", "XXX", ], 'test_check_list_all':["XXX", "XXX", ], 'test_result_col_name':"result_str"},
+ALL_tests = [# 血细胞 # (1):血细胞分析+五分类；(2):血细胞分析+五分类；(4):血细胞五分类+CRP；东院区：(106):血细胞分析+五分类
+            {'test_rptunitid':[str(1), str(2), str(4), str(106)], 'test_check_name':'血细胞', 'test_check_list':["血红蛋白", "红细胞压积", "平均红细胞体积", "平均血红蛋白含量", "平均血红蛋白浓度", "红细胞宽度-CV值", "红细胞宽度-SD值", "血小板计数", "血小板分布宽度", "平均血小板体积", "大血小板比率", "血小板压积", "淋巴细胞计数", "单核细胞计数", "中性粒细胞计数", "嗜酸细胞计数", "嗜碱细胞计数", "淋巴细胞百分比", "单核细胞百分比", "中性粒细胞百分比", "嗜酸细胞百分比", "嗜碱细胞百分比", "白细胞计数", "红细胞计数", "CRP检验=====", "C反应蛋白", "超敏CRP", ], 'test_check_list_all':["血红蛋白", "红细胞压积", "平均红细胞体积", "平均血红蛋白含量", "平均血红蛋白浓度", "红细胞宽度-CV值", "红细胞宽度-SD值", "血小板计数", "血小板分布宽度", "平均血小板体积", "大血小板比率", "血小板压积", "淋巴细胞计数", "单核细胞计数", "中性粒细胞计数", "嗜酸细胞计数", "嗜碱细胞计数", "淋巴细胞百分比", "单核细胞百分比", "中性粒细胞百分比", "嗜酸细胞百分比", ["嗜碱细胞百分比", "嗜碱细胞%"], ["白细胞计数", "白细胞"], "红细胞计数", "CRP检验=====", "C反应蛋白", ["超敏CRP", "超敏C反应蛋白"], ], 'test_result_col_name':"result_str"},
+            # 凝血 # (3):凝血六项；(110):东院区；(90):凝血和血小板功能监测
+            {'test_rptunitid':[str(3), str(110),str(90)], 'test_check_name':'凝血', 'test_check_list':["凝血酶原时间", "凝血酶原活动度", "血浆凝血酶原时间比值", "凝血酶原国际标准化比值", "活化部分凝血活酶时间", "活化部分凝血活酶比值", "凝血酶时间", "凝血酶时间比值", "纤维蛋白原含量", "D-二聚体测定", "纤维蛋白原降解产物", "凝血酶生成时间","凝血速率","血小板功能"],\
+             'test_check_list_all':["凝血酶原时间*", ["凝血酶原活动度", r"凝血酶原活度\(%\)"], ["凝血酶原比值", "血浆凝血酶原时间比值"], ["凝血酶原标准化比值", "凝血酶原国际标准化比值"], ["活化部分凝血活酶时间*", "活化部分凝血酶时间*"], "活化部分凝血活酶比值", "凝血酶时间", "凝血酶时间比值", "纤维蛋白原含量", [r"D-二聚体\(sysmex\)", "D-二聚体测定*"], [r"纤维蛋白\(原\)降解产物", "纤维蛋白原降解产物"], "凝血酶生成时间","凝血速率","血小板功能"], 'test_result_col_name':"result_str"},
+            # 肝功 # (5):平诊肝功十四项+平诊电解质八项+平诊肾功七项；(20)急诊肝功十二项_急诊肾功五项[复]_急诊电解质七项[复]；东院区：（108）：传染性指标检测八项
+            {'test_rptunitid':[str(5), str(20), str(108)], 'test_check_name':'肝功', 'test_check_list':["谷草转氨酶", "谷丙转氨酶", "谷草/谷丙", "碱性磷酸酶", "γ谷氨酰氨转肽酶", "总胆红素", "直接胆红素", "间接胆红素", "胆碱脂酶", "总胆固醇", "总蛋白", "白蛋白", "球蛋白", "白球比", "总胆汁酸", "a-L-岩藻糖苷酶", "前白蛋白", "超氧化物歧化酶", "尿素", "肌酐", "胱抑素C", "葡萄糖", "尿酸", "钾", "钠", "氯", "磷", "钙", "镁", "二氧化碳结合率", "离子间隙", "糖化白蛋白", "视黄醇结合蛋白", "eGFR(CKD-EPI)", "a-l岩藻糖苷酶", "超氧化物歧化酶", "eGFR(MDRD)", r"eGFR单位ml/min/1.73m^2", "8597", "乳酸测定", "乳酸脱氢酶", "羟丁酸脱氢酶", "肌酸激酶", "肌酸激酶同工酶", "载脂蛋白A", "载脂蛋白B", "载脂蛋白E", "脂蛋白（a）", "缺血修饰白蛋白", "甘油三酯", "高密度脂蛋白", "低密度脂蛋白", ], \
+             'test_check_list_all':["谷草转氨酶", "谷丙转氨酶", "谷草/谷丙", "碱性磷酸酶", ["γ谷氨酰氨转肽酶", "γ-谷氨酰转肽酶"], "总胆红素", "直接胆红素", "间接胆红素", "胆碱脂酶", "总胆固醇", "总蛋白", "白蛋白", "球蛋白", "白球比", "总胆汁酸", "a-L-岩藻糖苷酶", "前白蛋白", "超氧化物歧化酶", "尿素", "肌酐", "胱抑素C", "葡萄糖", "尿酸", "钾", "钠", "氯", "磷", "钙", "镁", "二氧化碳结合率", "离子间隙", "糖化白蛋白", "视黄醇结合蛋白", r"eGFR\(CKD-EPI\)", "a-l岩藻糖苷酶", "超氧化物歧化酶", r"eGFR\(MDRD\)", r"eGFR单位ml/min/1.73m\^2", "8597", "乳酸测定", "乳酸脱氢酶", "羟丁酸脱氢酶", "肌酸激酶", "肌酸激酶同工酶", "载脂蛋白A", "载脂蛋白B", "载脂蛋白E", "脂蛋白（a）", "缺血修饰白蛋白", "甘油三酯", "高密度脂蛋白", "低密度脂蛋白", ], 'test_result_col_name':"result_str"},
+            # 各类肿瘤标志物 # (6):各类肿瘤标志物，e.g.肿瘤标志物肺癌六项[复]、肿瘤标志物十项(男)；东院区：（108）：肿瘤标志物肺癌六项[复]
+            {'test_rptunitid':[str(6), str(108)], 'test_check_name':'各类肿瘤标志物', 'test_check_list':["胃泌素释放肽前体(罗氏)", "鳞状上皮细胞癌抗原(罗氏)", "癌胚抗原", "甲胎蛋白", "糖类抗原125", "糖类抗原199", "糖类抗原724", "细胞角蛋白19片段", "神经元特异性烯醇化酶测定", "总前列腺特异性抗原", "游离前列腺抗原", "游离/总", "糖类抗原153","人附睾蛋白","绝经前 ROMA","绝经后 ROMA","铁蛋白","叶酸","维生素B12","高尔基体蛋白73测定","胃蛋白酶原Ⅰ","胃蛋白酶原Ⅱ","胃蛋白酶原Ⅰ/Ⅱ","降钙素","甲状腺球蛋白"],\
+             'test_check_list_all':[r"胃泌素释放肽前体\(罗氏\)", ["鳞状上皮细胞癌相关抗原", r"鳞状上皮细胞癌抗原\(罗氏\)"], "癌胚抗原", "甲胎蛋白", "糖类抗原125", "糖类抗原199", "糖类抗原724", "细胞角蛋白19片段", "神经元特异性烯醇化酶测定", "总前列腺特异性抗原", "游离前列腺抗原", "游离/总", "糖类抗原153","人附睾蛋白","绝经前 ROMA","绝经后 ROMA","铁蛋白","叶酸","维生素B12","高尔基体蛋白73测定","胃蛋白酶原Ⅰ","胃蛋白酶原Ⅱ","胃蛋白酶原Ⅰ/Ⅱ","降钙素","甲状腺球蛋白"], 'test_result_col_name':"result_str"},
+            # 七抗 # (10):肺癌七种自身抗体检测
+            {'test_rptunitid':str(10), 'test_check_name':'七抗', 'test_check_list':["p53自身抗体", "PGP9.5自身抗体", "SOX2自身抗体", "GAGE7自身抗体", "GBU4-5自身抗体", "MAGE A1自身抗体", "CAGE自身抗体", ], 'test_check_list_all':["p53自身抗体", "PGP9.5自身抗体", "SOX2自身抗体", "GAGE7自身抗体", "GBU4-5自身抗体", "MAGE A1自身抗体", "CAGE自身抗体", ], 'test_result_col_name':"result_str"},
+            # 传染指标 # (52):传染指标八项-急诊；(53):传染性指标检测八项[复];(23):传染性指标检测八项[复]；东院区:(108):传染性指标检测八项[复]
+            {'test_rptunitid':[str(52), str(53), str(108), str(23)], 'test_check_name':'传染指标', 'test_check_list':["乙肝表面抗原定量", "乙肝表面抗体定量", "乙肝e抗原", "乙肝e抗体", "乙肝核心抗体", "丙型肝炎抗体", "梅毒螺旋体抗体", "人类免疫缺陷病毒", ], 'test_check_list_all':["乙肝表面抗原定量", "乙肝表面抗体定量", "乙肝e抗原", "乙肝e抗体", "乙肝核心抗体", "丙型肝炎抗体", ["螺旋体特异抗体", "梅毒螺旋体抗体"], ["人免疫缺陷病毒", "人类免疫缺陷病毒"], ], 'test_result_col_name':"result_str"},
+            # 血气分析+生化分析 # (16):血气分析+生化六项[复]/血气分析3, (49):血气分析+生化六项[复], (50):血气分析+生化五项[复], (73/74):血气分析+生化十项[复], (89):血气分析+生化六项[复], (112):血气分析/血气分析+生化七项[复], (158):血气分析+生化六项[复]；(42):血气分析+生化六项[复]
+            {'test_rptunitid':[str(16), str(49), str(50), str(73), str(74), str(89), str(112), str(158),str(42)], 'test_check_name':'血气分析+生化分析', 'test_check_list':["体温", "吸氧流量", "酸碱度", "氧分压", "二氧化碳分压", "二氧化碳总量", "红细胞压积", "总血红蛋白", "氧饱和度", "Na+钠离子浓度", "钾离子浓度", "钙离子浓度", "氯离子浓度", "标准离子钙", "氢离子浓度", "酸碱度计算值", "PCO2分压计算值", "p氧分压计算值", "pO2(A-a)(T)_r", "pO2(a/A)(T)_r", "呼吸指数计算值", "pO2(T)/FIO2_r", "氢离子浓度", "HCO3-act_r", "HCO3-std_r", "BE(ecf)_r", "血液缓冲碱", "ctCO2", "pO2(A-a)_r", "pO2(a/A)_r", "呼吸指数", "氧和指数", "阴离子间隙", "渗透压", "血糖", "乳酸", "实际碳酸氢盐", "标准碳酸氢盐", "实际碱剩余", "标准碱剩余", "细胞外液剩余碱","氧合血红蛋白","一氧化碳血红蛋白", "还原血红蛋白","高铁血红蛋白", "总胆红素", "A-aDO2", "pAO2", "paO2/pAO2", "50%饱和度氧分压", "动脉血氧含量", "肺泡动脉氧分压差", "动脉氧分压与肺泡氧分压之比", "pCO2(T)", "pO2(T)", "PH(T)", "吸氧浓度","平均肺泡氧分压"],\
+             'test_check_list_all':["体温", "吸氧流量", "酸碱度", "氧分压", "二氧化碳分压", "二氧化碳总量", "红细胞压积", "总血红蛋白", "氧饱和度", ["Na\+钠离子浓度", "钠离子"], ["钾离子浓度","钾离子"], ["钙离子浓度","钙离子"], ["氯离子浓度","氯离子"], ["标准离子钙","PH=7.4的钙"], "氢离子浓度", "酸碱度计算值", "PCO2分压计算值", "p氧分压计算值", r"pO2\(A-a\)\(T\)_r", r"pO2\(a/A\)\(T\)_r", "呼吸指数计算值", r"pO2\(T\)/FIO2_r", "氢离子浓度", "HCO3-act_r", "HCO3-std_r", r"BE\(ecf\)_r", "血液缓冲碱", "ctCO2", r"pO2\(A-a\)_r", r"pO2\(a/A\)_r", "呼吸指数", "氧和指数", "阴离子间隙", "渗透压", "血糖", "乳酸", ["实际碳酸氢盐","血浆碳酸氢盐浓度"], "标准碳酸氢盐", ["血液剩余碱","实际碱剩余"], "标准碱剩余", "细胞外液剩余碱","氧合血红蛋白","一氧化碳血红蛋白", "还原血红蛋白","高铁血红蛋白", "总胆红素",  "A-aDO2", "pAO2", "paO2/pAO2", "50%饱和度氧分压", "动脉血氧含量", "肺泡动脉氧分压差", "动脉氧分压与肺泡氧分压之比", r"pCO2\(T\)", r"pO2\(T\)", r"PH\(T\)", "吸氧浓度","平均肺泡氧分压"], 'test_result_col_name':"result_str"},
+            # 感染指标 # (77)/(92)/(113)/(126)/(77)/(82)/:新型冠状病毒核酸检测[复]； (75):新型冠状病毒抗体； (25):新冠核酸检测[复]/乙肝病毒DNA含量/结核杆菌定量测定；str(121)/str(37):一般细菌涂片检查；str(111):乙型肝炎DNA定量测定；str(29):免疫8项；str(34):内毒素+D葡聚糖测定，str(38)/(116):红细胞沉降率测定；str(36):结核Xpert鉴定及耐药[复]；str(10):结核感染T细胞检测；str(24):自身抗体谱测定(18项)；str(23):血清肌钙蛋白I测定
+            {'test_rptunitid':[str(77),str(25),str(92),str(113),str(126),str(75),str(77),str(82),str(30),str(121),str(37),str(111),str(29),str(34),str(38),str(116),str(36),str(10)], 'test_check_name':'感染指标', 'test_check_list':["新型冠状病毒抗体IgG","新型冠状病毒抗体IgM", "新型冠状病毒核酸检测","新型冠状病毒核酸混检", "乙肝病毒DNA含量","结核杆菌定量测定", "EB病毒定量测定","巨细胞病毒定量测定","白细胞","上皮细胞","革兰氏阳性球菌","革兰氏阴性球菌","革兰氏阴性球杆菌","革兰氏阳性杆菌","革兰氏阴性杆菌","真菌菌丝" ,"真菌孢子","抗酸染色", "HPV6","HPV11","抗链球菌溶血素O定量测定","KAP轻链","LAM轻链","免疫球蛋白IgE","免疫球蛋白G","免疫球蛋白M","免疫球蛋白A","补体C3","补体C4","类风湿因子","C反应蛋白","G-脂多糖","1-3-β-D葡聚糖","抗心磷脂IgG抗体","EB病毒核心抗原IgG抗体","EB病毒衣壳抗原IgG抗体","EB病毒早期抗原IgM抗体","EB病毒衣壳抗原IgM抗体","红细胞沉降率测定","降钙素原",r"淋巴细胞培养+干扰素\(基础水平N\)",r"结核杆菌γ干扰素释放试验\(T-N\)",r"结核杆菌阳性对照反应\(M-N\)",r"结核杆菌特异性细胞免疫反应提示", "抗dsDNA抗体","抗核小体抗体","抗组蛋白抗体","抗SmD1抗体","抗PCNA抗体","抗核糖体P蛋白测定","抗SSA/Ro60kD抗体","抗SSA/Ro52kD抗体","抗ssb抗体","抗CENPB抗体","抗Scl-70抗体","抗U1-snRNP抗体","抗Jo-1抗体","抗PM-Scl抗体","抗Ku抗体","抗AMA-M2抗体","抗Mi-2抗体",r"抗核抗体\(1:80\)","高敏肌钙蛋白I" ],\
+             'test_check_list_all':["新型冠状病毒抗体IgG","新型冠状病毒抗体IgM",["新型冠状病毒核酸检测", "新型冠状病毒核酸快速检测"], r"新型冠状病毒核酸检测\(混检\)",["乙肝病毒DNA含量","乙型肝炎病毒DNA定量"],"结核杆菌定量测定", "EB病毒定量测定","巨细胞病毒定量测定","白细胞","上皮细胞",["革兰氏阳性球菌","革兰阳性球菌"],["革兰阴性球菌","革兰氏阴性球菌"],"革兰氏阴性球杆菌",["革兰阳性杆菌","革兰氏阳性杆菌"],["革兰阴性杆菌","革兰氏阴性杆菌"],"真菌菌丝","真菌孢子","抗酸染色","HPV6","HPV11","抗链球菌溶血素O定量测定","KAP轻链","LAM轻链","免疫球蛋白IgE","免疫球蛋白G","免疫球蛋白M","免疫球蛋白A","补体C3","补体C4","类风湿因子","C反应蛋白","G-脂多糖","1-3-β-D葡聚糖","抗心磷脂IgG抗体","EB病毒核心抗原IgG抗体","EB病毒衣壳抗原IgG抗体","EB病毒早期抗原IgM抗体","EB病毒衣壳抗原IgM抗体","红细胞沉降率测定","降钙素原",r"淋巴细胞培养+干扰素\(基础水平N\)",r"结核杆菌γ干扰素释放试验\(T-N\)",r"结核杆菌阳性对照反应\(M-N\)",r"结核杆菌特异性细胞免疫反应提示","抗dsDNA抗体","抗核小体抗体","抗组蛋白抗体","抗SmD1抗体","抗PCNA抗体","抗核糖体P蛋白测定","抗SSA/Ro60kD抗体","抗SSA/Ro52kD抗体","抗ssb抗体","抗CENPB抗体","抗Scl-70抗体","抗U1-snRNP抗体","抗Jo-1抗体","抗PM-Scl抗体","抗Ku抗体","抗AMA-M2抗体","抗Mi-2抗体",r"抗核抗体\(1:80\)","高敏肌钙蛋白I"], 'test_result_col_name':"result_str"},
+            # 基因检测指标 # (41):CYP2C19基因检测[复]
+            {'test_rptunitid':[str(41)], 'test_check_name':'基因检测指标', 'test_check_list':[r"GG_681GG\)",r"GG_681GA\)",r"GA_681GG\)",r"GG_681AA\)",r"AA_681GG\)",r"GA_681GA\)" ],\
+             'test_check_list_all':[r"\*1/\*1\(636", r"\*1/\*2\(636",r"\*1/\*3\(636", r"\*2/\*2\(636",r"\*3/\*3\(636", r"\*2/\*3\(636", ], 'test_result_col_name':"result_ref"},
+             # 心衰系列 # str(20):B型前脑尿钠肽, str(16):B型前脑尿钠肽检测（Pro-BN_降钙素原检；str(108):B型尿钠肽检测（BNP)
+            {'test_rptunitid':[str(20),str(16)], 'test_check_name':'心衰系列', 'test_check_list':['B型前脑尿钠肽','高敏肌钙蛋白T'],\
+             'test_check_list_all':['B型前脑尿钠肽','高敏肌钙蛋白T'], 'test_result_col_name':"result_str"},
+             # 普通指标 # str(79),str(51):卡式血型鉴定；str(12):肝纤维化指标（五项）；str(22)/(33):胃液常规检查；str(161):甲功五项（化学发光法）[复]
+            {'test_rptunitid':[str(79),str(51),str(12),str(22),str(33),str(161)], 'test_check_name':'普通指标', 'test_check_list':['ABO正定型','ABO反定型','ABO血型',r'Rh\(D\)血型','TPO过氧化物酶自身抗体','T4甲状腺素','T3三碘甲腺原氨酸','FT4游离甲状腺素','FT3游离三碘甲腺原氨酸','h-TSH促甲状腺激素','TGAB甲状腺球蛋白抗体','TMAB甲状腺微粒体抗体','隐血'],\
+             'test_check_list_all':['ABO正定型','ABO反定型','ABO血型',r'Rh\(D\)血型','TPO过氧化物酶自身抗体','T4甲状腺素','T3三碘甲腺原氨酸','FT4游离甲状腺素','FT3游离三碘甲腺原氨酸','h-TSH促甲状腺激素','TGAB甲状腺球蛋白抗体','TMAB甲状腺微粒体抗体','隐血'], 'test_result_col_name':"result_str"},
+            # 免疫系列 # str(14):'促甲状腺素受体抗体测定
+            {'test_rptunitid':[str(14)], 'test_check_name':'免疫系列', 'test_check_list':['甲状腺球蛋白','促甲状腺激素','血清甲状腺素','血清三碘甲状原氨酸','血清游离甲状腺素','血清游离三碘甲状原氨酸','抗甲状腺球蛋白抗体','抗甲状腺过氧化物酶抗体'],\
+             'test_check_list_all':['甲状腺球蛋白','促甲状腺激素','血清甲状腺素','血清三碘甲状原氨酸','血清游离甲状腺素','血清游离三碘甲状原氨酸','抗甲状腺球蛋白抗体','抗甲状腺过氧化物酶抗体'], 'test_result_col_name':"result_str"},
+             # 特殊指标 # str(10):血管内皮生长因子检测；str(46):
+            {'test_rptunitid':[str(10)], 'test_check_name':'特殊指标', 'test_check_list':['血管内皮生长因子_血管内皮生长因子检测',r'Th1/Th2/Th17亚群十二项细胞因子_白介素\(IL\)检测\(IL-1β\)',r'白介素（IL）检测\(IL-2\)',r'白介素（IL）检测\(IL-4\)',r'白介素（IL）检测\(IL-5\)',r'白介素（IL）检测\(IL-6\)',r'白介素（IL）检测\(IL-8\)',r'白介素（IL）检测\(IL-10\)',r'白介素（IL）检测\(IL-12p\)',r'白介素（IL）检测\(IL-17\)',r'干扰素（IFN）测定\(IFN-α\)',r'干扰素（IFN）测定\(IFN-γ\)',r'肿瘤坏死因子测定'],\
+             'test_check_list_all':['血管内皮生长因子检测',r'白介素\(IL\)检测\(IL-1β\)',r'白介素（IL）检测\(IL-2\)',r'白介素（IL）检测\(IL-4\)',r'白介素（IL）检测\(IL-5\)',r'白介素（IL）检测\(IL-6\)',r'白介素（IL）检测\(IL-8\)',r'白介素（IL）检测\(IL-10\)',r'白介素（IL）检测\(IL-12p\)',r'白介素（IL）检测\(IL-17\)',r'干扰素（IFN）测定\(IFN-α\)',r'干扰素（IFN）测定\(IFN-γ\)',r'肿瘤坏死因子测定',], 'test_result_col_name':"result_str"},
+            # 内分泌代谢系列 # str(12):尿β2-MG；str(7):尿液儿茶酚胺测定八项[复]；str(7):抗中性粒细胞胞浆抗体测定（ANC;
+            {'test_rptunitid':[str(12),str(7),str(17),str(161)], 'test_check_name':'内分泌代谢系列', 'test_check_list':['尿β2-MG','游离肾上腺素','游离去甲肾上腺素','游离多巴胺','游离甲氧基肾上腺素','游离甲氧基去甲肾上腺素','游离3-甲氧基酪胺','尿香草扁桃酸','高香草酸','24小时尿（体液）量','尿24小时游离肾上腺素','尿24小时游离去甲肾上腺素','尿24小时游离多巴胺','尿24小时游离甲氧基肾上腺素','尿24小时游离甲氧基去甲肾上腺素','尿24小时游离3-甲氧基酪胺','尿24小时香草扁桃酸','尿24小时高香草酸', 'cANCA','pANCA','抗蛋白酶3抗体','抗髓过氧化物酶抗体','ANA','非典型性ANCA','*MPO标准品1','*MPO标准品2','*MPO标准品3','*PR3标准品1','*PR3标准品2','*PR3标准品3'],\
+             'test_check_list_all':['尿β2-MG','游离肾上腺素','游离去甲肾上腺素','游离多巴胺','游离甲氧基肾上腺素','游离甲氧基去甲肾上腺素','游离3-甲氧基酪胺','尿香草扁桃酸','高香草酸','24小时尿（体液）量','尿24小时游离肾上腺素','尿24小时游离去甲肾上腺素','尿24小时游离多巴胺','尿24小时游离甲氧基肾上腺素','尿24小时游离甲氧基去甲肾上腺素','尿24小时游离3-甲氧基酪胺','尿24小时香草扁桃酸','尿24小时高香草酸','cANCA','pANCA','抗蛋白酶3抗体','抗髓过氧化物酶抗体','ANA','非典型性ANCA',r'\*MPO标准品1',r'\*MPO标准品2',r'\*MPO标准品3',r'\*PR3标准品1',r'\*PR3标准品2',r'\*PR3标准品3'], 'test_result_col_name':"result_str"},
+            # 用药指导 # str(78):用药指导基因检测他汀类药物两项
+            {'test_rptunitid':[str(78),str(40)], 'test_check_name':'用药指导', 'test_check_list':[r'VKORC1\(1639G>A\)',r'CYP2C9*3\(1075A>C\)',r'ALDH2\(1510G>A\)',r'ApoE\(526',r'SLCO1B1*5\(521'],\
+             'test_check_list_all':[r'VKORC1\(1639G>A\)',r'CYP2C9*3\(1075A>C\)',r'ALDH2\(1510G>A\)',r'ApoE\(526',r'SLCO1B1*5\(521'], 'test_result_col_name':"result_str"},
+             ]