开始编写统一的收集使用记录的程序

工具v2/收集使用记录.py

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+"""工程中"""
+
+from database_tools import *
+import zipfile,shutil
+
+
+zipfilepath = r"D:\temp\222817032234165544977_G20260160选择性必修第四章数列复习_高一_数学.zip"
+# zipfilepath = r"D:\temp\222817041862672707412_控江中学2023学年第一学期高一数学期末考试_高一_数学.zip"
+tempdir = "临时文件/zips"
+statsfilename = "小题分_按学号（数学）.xlsx"
+threshold = 0.96 #设置最低提交人数
+answersheetseekingpath = "../备课组"
+
+def ParseZipname(zipfilename): #小闲平台的zip文件中获得试卷编号, 返回试卷编号字符串
+    xiaoxianpid = re.findall(r"^(\d*?)_",os.path.split(zipfilename)[1])
+    return xiaoxianpid[0]
+
+def FindFile(dir,filename): #在指定目录及子目录下寻找特定文件名的文件, 返回文件所在的路径列表
+    pathlist = []
+    for path,m,filenames in os.walk(dir):
+        if filename in filenames:
+            pathlist.append(path)
+    return pathlist
+
+def FindPaper(xiaoxianpid, answersheetpath): #根据小闲的试卷编号和答题纸对应json的根目录寻找题库的试卷编号,届别,题号, 返回(题库试卷编号,届别,题号列表), 如果未找到则返回False
+    answersheetpathlist = FindFile(answersheetpath,"答题纸对应.json")
+    foundpid = False
+    for dir in answersheetpathlist:
+        filepath = os.path.join(dir,"答题纸对应.json")
+        anssheetjson = load_dict(filepath)
+        if xiaoxianpid in anssheetjson:
+            foundpid = True
+            grade = "20"+re.findall(r"\d{2}届",dir)[0]
+            pid = anssheetjson[xiaoxianpid]["id"]
+            notesjson = load_dict(os.path.join(dir,"校本材料.json"))
+            idlist = []
+            for part in anssheetjson[xiaoxianpid]["parts"]:
+                idlist += notesjson["notes"][pid][part].copy()
+            if "marks" in anssheetjson[xiaoxianpid]:
+                marks = anssheetjson[xiaoxianpid]["marks"]
+            else:
+                marks = []
+            break      
+    if foundpid:
+        return(pid,grade,idlist,marks)
+    else:
+        return False
+
+def CheckPaperType(filepath,filename): #根据filepath(通常是小闲的zip解压出的目录)和filename(通常是"小题分_按学号（数学）.xlsx")检测试卷类型, 未找到该文件则返回False, 找到文件且是日常试卷返回"日常卷", 找到文件且不是日常试卷返回"考试卷"
+    statsfilepathlist = FindFile(filepath,filename)
+    if statsfilepathlist == []:
+        return False
+    else:
+        dir = statsfilepathlist[0]
+        dfcurrent = pd.read_excel(os.path.join(dir,filename))
+        if re.findall(r"第\d*步",str(dfcurrent.loc[1,:])) == []:
+            return "日常卷"
+        else:
+            return "考试卷"
+
+def generateColIndexandMarks(filepath,paperinfo): #根据filepath(是一个有statsfilename的文件夹列表)中第一个路径中的数据文件及paperinfo(FindPaper返回的结果)寻找excel文件中有效的列的位置和相应的满分分数
+    dir = filepath[0]
+    dfcurrent = pd.read_excel(os.path.join(dir,statsfilename))
+    validcols = []
+    if papertype == "日常卷":
+        for i in range(len(dfcurrent.columns)):
+            colname = str(dfcurrent.iloc[1,i])
+            if ("单选" in colname or "填空" in colname or "主观" in colname) and re.findall("[ABCD]",colname) == []:
+                validcols.append(i)
+        marks = [1] * len(validcols)
+    elif papertype == "考试卷":
+        for i in range(len(dfcurrent.columns)):
+            colname = str(dfcurrent.iloc[1,i])
+            if ("单选" in colname or "填空" in colname or "主观" in colname or "步" in colname) and re.findall("[ABCD]",colname) == []:
+                validcols.append(i)
+        for col in range(len(validcols)-1,-1,-1):
+            colname = str(dfcurrent.iloc[1,validcols[col]])
+            if "主观" in colname:
+                colname_main = re.findall(r"^([\d\.]*)[\($]",colname[2:])[0]
+                t = [dfcurrent.iloc[1,c] for c in validcols[col+1:]]
+                t = str(t)
+                if colname_main in t:
+                    validcols.pop(col)
+    if paperinfo[3] == []:
+        marks = [1] * len(validcols)
+    else:
+        marks = paperinfo[3]
+    if len(marks) == len(validcols):
+        return (validcols,marks)
+    else:
+        return False
+                
+
+
+
+
+try:
+    shutil.rmtree(tempdir)
+    os.mkdir(tempdir)
+except:
+    pass
+
+xiaoxianpid = ParseZipname(zipfilepath)
+paperinfo = FindPaper(xiaoxianpid, answersheetseekingpath)
+
+
+
+zf = zipfile.ZipFile(zipfilepath)
+zf.extractall(tempdir) #解压zip文件中的所有内容到tempdir
+
+papertype = CheckPaperType(tempdir,statsfilename)
+statsfilepathlist = FindFile(tempdir,statsfilename)
+
+validcols,marks = generateColIndexandMarks(statsfilepathlist,paperinfo)
+
+
+
+
+
+
+
+
+
+pass       
+
+
+# print(ParseZipname(zipfilepath))
+
+# df = pd.read_excel(os.path.join(os.path.split(dir)[0],"学科总体分析.xlsx"))
+#     totalstudents = df.loc[2,df.columns[1]]
+#     validstudents = df.loc[2,df.columns[2]]
+#     classname = re.findall(r"高[一二三]\d*?班",dir)[0]
+#     classvalidflag = False
+#     if threshold * totalstudents < validstudents:
+#         print(f"{classname} 有效, 共 {totalstudents} 人, 提交 {validstudents} 人")
+#         classvalidflag = True
+#     else:
+#         print(f"!!! {classname} 无效, 共 {totalstudents} 人, 提交 {validstudents} 人")
+#     if classvalidflag: