database_tools_2中添加了生成个人使用记录的功能CalculateDetailedUsages

工具v4/database_tools_2.py

@@ -2730,6 +2730,45 @@ def generateIDtoUsageCorrespondence(idlist,validcols,names): #根据idlist(题
         corr_dict[idlist[i]] = collist
     return corr_dict
 
+
+def GetPaperDate(string):
+    return re.findall(r"\((\d{8})\)",string)[0]
+
+def CalculateDetailedUsages(xiaoxianpid,statsfilepathlist,statsfilename,gradename,threshold,marks,correspondence_dict,validcols,paperdate,exclude = {}):#根据小闲uid,统计数据所在的路径,文件名,年级,阈值,分数列表和题号列数(0-len(validcols))对应字典,以及原excel文件中的有效列位置validcols, 日期date, 生成单个学生的每道题目的正误数据, 如果有正确率大于1的则返回False
+    outputlist = []
+    marks = [int(mark) for mark in marks]
+    for dir in statsfilepathlist:
+        classname, valid = CheckValidity(dir,gradename,threshold)
+        if valid:
+            dfcurrent = pd.read_excel(os.path.join(dir,statsfilename))
+            for row in range(2,len(dfcurrent)-2): #学生的数据行
+                student_name = dfcurrent.iloc[row,0]
+                student_id = dfcurrent.iloc[row,1]
+                diffs = dfcurrent.iloc[row,validcols]/marks
+                if max(diffs)>1:
+                    print("满分数据有误!!!")
+                    return False
+                else:
+                    diffs_out = [f"{t:.3f}" for t in diffs]
+                for id in correspondence_dict:
+                    cols = correspondence_dict[id]
+                    if not len(cols) == 0 and not (id in exclude and classname[-3:] in generate_classid(exclude[id])):
+                        diffs = [diffs_out[u] for u in cols]
+                        usages = {
+                            "ID": id,
+                            "date": paperdate,
+                            "studentid": student_id,
+                            "studentname": student_name,
+                            "diff": diffs,
+                            "answersheet": xiaoxianpid
+                        }
+                        outputlist.append(usages)
+    return outputlist
+
+
+
+
+
 def CalculateUsages(statsfilepathlist,statsfilename,gradename,threshold,marks,correspondence_dict,validcols,date,exclude = {}): #根据统计数据所在的路径,文件名,年级,阈值,分数列表和题号列数(0-len(validcols))对应字典,以及原excel文件中的有效列位置validcols, 日期date, 生成usages的metadata.txt文件的内容, 如果有正确率大于1的则返回False
     output = "usages\n\n\n"
     validflag = True