对筛选题目所得的题目按照题目个数选择可能更快的速度生成LaTeX文件(先生成总字典还是注意用SQL语句查询)
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@ -1537,7 +1537,7 @@ def GenerateObjTexCode(id,prodict,objdict): #生成目标代号对应的学习
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if objid.upper() == "KNONE":
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string += "\n\n%s\t%s"%(objid,"无当前有效关联目标")
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else:
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string += "\n\n%s\t%s"%(objid,objdict[objid]["content"])
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string += "\n\n%s\t%s"%(objid,objdict[objid]["objcontent"])
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if prodict[id]["objs"] == []:
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string += "暂未关联\n"
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string += "\n\n\\end{tcolorbox}\n"
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@ -1702,6 +1702,67 @@ def generateDictsfromMariaDB(mycursor):
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bn_dict[ret[0]]["objs"].append(ret[1])
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return pro_dict,obj_dict,bn_dict,unit_obj_dict
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def generateLaTeXBodyContentFromDict(id,adict,objdict,misc): #根据id,读取的json内容adict,和字典misc来生成讲义
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#misc 样例
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#{
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# "教师版": True, #如果设置为True则除了 题后空间 之外都进行判断并处理, 否则只处理 题后空间 和 答案
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# "字段显示设置": {
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# "题后空间": True,
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# "课时目标": True,
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# "题目标签": True,
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# "答案": True,
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# "解答与提示": True,
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# "使用记录": (3,-1),
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# "使用记录说明": "(a,b)表示显示最好的a个和最差b个, 有-2表示不显示, 无-2但有-1表示全部显示",
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# "来源": True,
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# "备注": True,
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# "届别": []
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# }
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# }
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id = str(id).zfill(6)
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if not "教师版" in misc or misc["教师版"] == False:
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output = f"\n\\item {{\\tiny ({id})}} {adict[id]['content']}"
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if "字段显示设置" in misc and "答案" in misc["字段显示设置"] and misc["字段显示设置"]["答案"] == True:
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ans = adict[id]["ans"] if not adict[id]["ans"] is None else "暂无答案"
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output += f"\n\n答案: \\textcolor{{{('red' if ans != '暂无答案' else 'blue')}}}{{{ans}}}\n\n"
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if "字段显示设置" in misc and "题后空间" in misc["字段显示设置"] and misc["字段显示设置"]["题后空间"] == True:
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space = f"\n\n\\vspace*{{{adict[id]['space']}}}\n\n" if len(adict[id]["space"]) > 0 else ""
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output += space
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else:
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output = f"\n\\item ({id}) {adict[id]['content']}"
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if "备注" in misc["字段显示设置"] and misc["字段显示设置"]["备注"] == True:
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remark = r"\\".join(adict[id]["remark"]) if len(adict[id]["remark"]) > 0 else "暂无备注"
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output += f"\n\n备注: \\textcolor[rgb]{{0,0.5,0.2}}{{{remark}}}\n\n"
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if "课时目标" in misc["字段显示设置"] and misc["字段显示设置"]["课时目标"] == True:
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objs = f"\n\n目标:\n\n{GenerateObjTexCode(id,adict,objdict)}\n\n"
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output += objs
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if "题目标签" in misc["字段显示设置"] and misc["字段显示设置"]["题目标签"] == True:
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tags_raw = adict[id]['tags']
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if len(tags_raw) == 0:
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tags = "暂无标签"
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else:
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tags = '; '.join(adict[id]['tags'])
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output += f"\n\n标签: \\textcolor[rgb]{{0.5,0.6,0.8}}{{{tags}}}\n\n"
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if "答案" in misc["字段显示设置"] and misc["字段显示设置"]["答案"] == True:
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ans = adict[id]["ans"] if not (adict[id]["ans"]) is None else "暂无答案"
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output += f"\n\n答案: \\textcolor{{{('red' if ans != '暂无答案' else 'blue')}}}{{{ans}}}\n\n"
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if "解答与提示" in misc["字段显示设置"] and misc["字段显示设置"]["解答与提示"] == True:
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solution = adict[id]["solution"] if not adict[id]["solution"] is None else "暂无解答或提示"
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output += f"\n\n解答或提示: \\textcolor{{magenta}}{{{solution}}}\n\n"
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if "使用记录" in misc["字段显示设置"] and type(misc["字段显示设置"]["使用记录"]) in (list,tuple) and not -2 in misc["字段显示设置"]["使用记录"]:
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usages = f"\n\n使用记录:\n\n{GenerateUsageTexCodeFromDict(id,adict,misc['字段显示设置']['使用记录'])}\n\n"
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output += usages
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if "来源" in misc["字段显示设置"] and misc["字段显示设置"]["来源"] == True:
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origin = generate_origin(adict[id]["origin"]) if len(adict[id]["origin"]) > 0 else "未记录来源"
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output += f"\n\n来源: {origin}\n\n"
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return output
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def GenerateUsageTexCodeFromDict(id,prodict,topandbottomusagestuple): #根据topandbottomusagestuple的要求生成题号为id的题目的缩减版的使用记录列表， topandbottomusagestuple表示保留得分率最高的使用记录与最低的使用记录的个数, 有负数表示不排列, 两数之和大于记录数则从高到低排列后全部展示
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rawusages = prodict[id]["usages"].copy()
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usages = ChooseUsage(rawusages,topandbottomusagestuple)
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usagecode = re.sub("\\t([\d]\.[\d]{0,10})",GenerateValueColorCode,"\n\n".join(usages))
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return usagecode #返回缩减后的使用记录列表
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def generateLaTeXBodyContentfromMariaDB(cursor,id,misc): #根据id,读取的json内容adict,和字典misc来生成讲义
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#misc 样例
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@ -117,8 +117,14 @@ class MyWindow_sxth(QWidget,Ui_Form):
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mydb = connect(hostname = db_host, port = db_port, username=db_user, pwd=db_pwd, db = self.database_name)
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mycursor = mydb.cursor()
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bodystring = "\\begin{enumerate}\n\n"
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for id in tqdm.tqdm(generate_number_set(exp)):
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bodystring += generateLaTeXBodyContentfromMariaDB(mycursor,id,configjson)
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pid_list = generate_number_set(exp)
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if len(pid_list) < 10:
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for id in tqdm.tqdm(pid_list):
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bodystring += generateLaTeXBodyContentfromMariaDB(mycursor,id,configjson)
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else:
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pro_dict,obj_dict,bn_dict,unit_obj_dict = generateDictsfromMariaDB(mycursor)
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for id in tqdm.tqdm(pid_list):
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bodystring += generateLaTeXBodyContentFromDict(id,pro_dict,obj_dict,configjson)
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bodystring += "\\end{enumerate}\n\n"
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midtime = time.time()
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