texfile = r"D:\mathdeptv2\工具\临时文件\临时_学生用_20230622.tex" # 试卷的.tex源文件(要求每个题号都是左右带有小括号的六位数, 且没有其他这种格式的内容) excelfile = r"C:\Users\weiye\Documents\wwy sync\临时工作区\高一期末.xlsx" # 统考难度数据所在的excel文件, 小题号为从小到大排列的字符串, 例如 1 2 3 41 42 51 52 6 71 72 73等 sheetname = "难度统计" # excel中难度数据所在的工作表名 date = "20230620" # 考试日期 grade = "2025届高一" # 考试年级 max_classnum = 12 # 年级参加考试的最大班级班号 outputfilepath = r"文本文件/metadata.txt" # 输出的用于导入的metadata.txt文件位置 checkingfilepath = r"临时文件/手动统计结果.txt" # 用于检查结构的文件所在位置 from database_tools import * df = pd.read_excel(excelfile,sheet_name = sheetname) data = ReadTextFile(texfile) problems_list = re.findall(r"\((\d{6})\)",data) #生成题号(1~n)与题库id对应 id_dict = {} for i in range(len(problems_list)): id_dict[i+1] = problems_list[i] output = "usages\n\n" checkoutput = "" #生成题号(1~n)与表格中数据列的对应 idcol_dict = {} for i in id_dict: idcol_dict[i] = [] mincol = -1 for col_index in range(mincol+1,len(df.columns)): col = df.columns[col_index] if str(col).startswith(str(i)): idcol_dict[i].append(col_index) mincol = col_index if str(i) == str(col): break #生成行号与班级的对应列表 classrows_dict = {} for row in df.iloc[:,0]: if type(row) == int or type(row) == float: if 1<=row<=12: row = int(row) classrows_dict[list(df.iloc[:,0]).index(row)] = str(row).zfill(2) + "班" #生成手动统计列表 for cl in classrows_dict: classname = grade + classrows_dict[cl] checkoutput += "[BEGIN]\n" checkoutput += "## "+date+"\n" checkoutput += "** "+classname+"\n" for i in range(len(problems_list)): id = id_dict[i+1] results_cols = idcol_dict[i+1] results = [] for col in results_cols: results.append("%.3f"%df.iloc[cl,col]) checkoutput += id+"\t"+"\t".join(results) + "\n" output += id + "\n" + "\t".join([date,classname]+results) + "\n\n" checkoutput += "[END]\n\n\n" SaveTextFile(output,outputfilepath) print("可以在 %s 文件中检查结构"%(SaveTextFile(checkoutput,checkingfilepath))) os.system("code -w %s"%checkingfilepath)