答题纸对应新增一种直接指定idlist的模式(可以处理跳过的题目), 并更新了"收集使用记录"的一些代码

备课组/24届/答题纸对应.json

@@ -0,0 +1,22 @@
+{
+    "222816958193777036586": {
+        "id": "F20240515",
+        "idlist": [
+            "023033",
+            "040350",
+            "023034",
+            "023035",
+            "023036",
+            "023037",
+            "014586",
+            "023038",
+            "999999",
+            "999999",
+            "999999",
+            "999999",
+            "023039",
+            "023040"
+        ],
+        "marks": [4,4,4,4,4,4,5,5,4,4]
+    }
+}

工具v2/database_tools.py

@@ -1498,9 +1498,12 @@ def FindPaper(xiaoxianpid, answersheetpath): #根据小闲的试卷编号和答
             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"))
+            if not "idlist" in anssheetjson[xiaoxianpid]: 
                 idlist = []
                 for part in anssheetjson[xiaoxianpid]["parts"]:
                     idlist += notesjson["notes"][pid][part].copy()
+            else:
+                idlist = anssheetjson[xiaoxianpid]["idlist"]
             if "marks" in anssheetjson[xiaoxianpid]:
                 marks = anssheetjson[xiaoxianpid]["marks"]
             else:
@@ -1594,6 +1597,7 @@ def CalculateUsages(statsfilepathlist,statsfilename,gradename,threshold,marks,co
                 means_out = [f"{t:.3f}" for t in means]
                 for id in correspondence_dict:
                     cols = correspondence_dict[id]
+                    if not len(cols) == 0:
                         diffs = "\t".join([means_out[u] for u in cols])
                         usages = f"{date}\t{classname}\t{diffs}"
                         output += f"{id}\n{usages}\n\n\n"

工具v2/收集使用记录.py

@@ -1,4 +1,4 @@
-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\222816958193777036586_基础赋能卷8_高三_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"
 date = "20240125"
 threshold = 0.75 #设置最低提交人数比例