选题编译功能改为先生成字典, 再生成LaTeX代码, 在题目多于50题时将显著加快生成LaTeX代码的速度

工具v4/指定题号编译pdf.py

@@ -128,17 +128,21 @@ class MyWindow_xtby(QWidget,Ui_Form):
             latex_raw = re.sub(r"fontset[\s]*=[\s]*none","fontset = fandol",latex_raw)
             latex_raw = re.sub(r"\\setCJKmainfont",r"% \\setCJKmainfont",latex_raw)
 
-        bodystring = "\\tableofcontents\n\n\\newpage\n\n"
+        if len(self.TitleID_list) > 1:
+            bodystring = "\\tableofcontents\n\n\\newpage\n\n"
+        else:
+            bodystring = "\n\n"
         bodylist = []
         # problems_dict = configjson["标题与题号"]
         starttime = time.time()
         mydb = connect(hostname = db_host, port = db_port, username=db_user, pwd=db_pwd, db = self.database_name)
         mycursor = mydb.cursor()
+        pro_dict,obj_dict,bn_dict,unit_obj_dict = generateDictsfromMariaDB(mycursor)
         for p,IDs in self.TitleID_list:
             currentbodystring = f"\\section{{{p}}}\n\\begin{{enumerate}}\n\n"
             print(f"正在从数据库获取数据, 生成源代码...")
-            for id in tqdm.tqdm(generate_number_set(IDs)):
-                currentbodystring += generateLaTeXBodyContentfromMariaDB(mycursor,id,configjson)
+            for id in tqdm.tqdm(generate_number_set(IDs,pro_dict), desc = f"生成 {p} 章节LaTeX代码"):
+                currentbodystring += generateLaTeXBodyContentFromDict(id,pro_dict,obj_dict,configjson)
             currentbodystring += "\\end{enumerate}"
             bodylist.append(currentbodystring)
         bodystring += "\n\n\\newpage\n\n".join(bodylist)