diff --git a/工具v2/database_tools.py b/工具v2/database_tools.py
index c8e03504..9cf52216 100644
--- a/工具v2/database_tools.py
+++ b/工具v2/database_tools.py
@@ -1,4 +1,5 @@
 import json,re,os,Levenshtein,fitz,time,sys
+import pandas as pd
 
 def GetDate(): #获得当前日期
     currentdate = str(time.localtime().tm_year)+str(time.localtime().tm_mon).zfill(2)+str(time.localtime().tm_mday).zfill(2)
diff --git a/工具v2/文本文件/metadata.txt b/工具v2/文本文件/metadata.txt
index ce7d7d26..94c516e8 100644
--- a/工具v2/文本文件/metadata.txt
+++ b/工具v2/文本文件/metadata.txt
@@ -1,3 +1,758 @@
-52   8096
-52 8097
-53 8096
\ No newline at end of file
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diff --git a/工具v2/统考数据导入.py b/工具v2/统考数据导入.py
new file mode 100644
index 00000000..30c97981
--- /dev/null
+++ b/工具v2/统考数据导入.py
@@ -0,0 +1,62 @@
+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)
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