新增generateUsagedetail函数, 根据某个小闲导出的zip文件生成个人使用记录列表

工具v4/database_tools_2.py

@@ -4,6 +4,7 @@ import numpy as np
 import pyperclip
 import mysql.connector
 import tqdm
+import zipfile,shutil
 
 
 BuildFullScheme = {
@@ -3298,6 +3299,32 @@ def findxiaobenIDs(jsonpath,grade = ""): #根据jsonpath中的校本材料获取
     return jsonIDs
 
 
+def generateUsagedetail(zipfilepath,tempdir,answersheetseekingpath,statsfilename,threshold,date): #根据zipfilepath文件路径, threshold最低提交比例阈值, date日期产生对应一张答题纸的使用记录
+    try:
+        shutil.rmtree(tempdir)
+    except:
+        pass
+    makedir(tempdir)
+    # try:
+    xiaoxianpid = ParseZipname(zipfilepath)
+    paperinfo = FindPaper(xiaoxianpid, answersheetseekingpath)
+    if type(paperinfo) == bool:
+        print("!!!!!",zipfilepath)
+        return 1
+    else:
+        gradename = paperinfo[1]
+        idlist = paperinfo[2]
+        excludejson = paperinfo[4]
+        print(paperinfo)
+        zf = zipfile.ZipFile(zipfilepath)
+        zf.extractall(tempdir) #解压zip文件中的所有内容到tempdir
+        statsfilepathlist = FindFile(tempdir,statsfilename)
+        validcols,marks = generateColIndexandMarks(statsfilepathlist,statsfilename,paperinfo)
+        dfcurrent = pd.read_excel(os.path.join(statsfilepathlist[0],statsfilename))
+        correspondence_dict = generateIDtoUsageCorrespondence(idlist,validcols,dfcurrent.iloc[1,validcols])
+        outputlist = CalculateDetailedUsages(xiaoxianpid,statsfilepathlist,statsfilename,gradename,threshold,marks,correspondence_dict,validcols,date,exclude=RefineExclude(excludejson))
+        return outputlist #返回由usages开始的使用记录列表
+
 
 if __name__ == "__main__":
     print("数据库工具, import用.")