优化讲义生成功能, 目前能够生成跨年级的材料和合集
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@ -1416,7 +1416,7 @@ def select_grade_from_pro_dict(prodict,grades):
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def GenerateSingleLessonNote(id,notesdict,metadict,templatepath,outputfilepath,consecutivenumbering = False, answered = False): #20231215版讲义生成
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notetitle = id + r" \ " + notesdict["notes"][id]["name"]
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structure = notesdict["structures"][id[0].upper()]
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structure = notesdict["structures"][id[0].upper()]["structure"]
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note_contents = notesdict["notes"][id]
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output = ""
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sections_list = []
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30
工具v2/讲义生成.py
30
工具v2/讲义生成.py
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@ -1,12 +1,19 @@
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notes_dict_path = "../备课组/26届/校本材料.json" # 讲义(题,基础知识,目标)号码所在json数据库路径
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lessonpattern = r"G202602((4[0-8])|(53))" # 正则表达式, 数据库中讲义的编号([A-Z][0-9]{4}[(01)|(02)][[0-9]{2}), 字母表示类型, 四位数字表示届别, 2位数字表示学期及其他, 2位数字表示序号
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lessonpattern = r"[GJE]202[456]0\d0[123]" # 正则表达式, 数据库中讲义的编号([A-Z][0-9]{4}[(01)|(02)][[0-9]{2}), 字母表示类型, 四位数字表示届别, 2位数字表示学期及其他, 2位数字表示序号
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outputdir = "d:/temp/26届材料" # 输出文件夹, 不建议修改
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answered = True # 设置是否编译答案
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consecutivenumbering = False # 设置是否用连续编号, 试卷请设为True, 普通讲义请设为False
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jsonpath = "../备课组" #有json文件的根目录, 文件名需为"校本材料.json"
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from database_tools import *
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notes_dict = load_dict(notes_dict_path)
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jsondicts = []
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for loc,dirs,files in os.walk(jsonpath):
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if "校本材料.json" in files:
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jsondicts.append(load_dict(os.path.join(loc,"校本材料.json")))
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pro_dict = load_dict("../题库0.3/problems.json")
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obj_dict = load_dict("../题库0.3/LessonObj.json")
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basicknowledge_dict = load_dict("../题库0.3/BasicKnowledge.json")
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@ -17,13 +24,18 @@ for t in (obj_dict,basicknowledge_dict,pro_dict):
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papernames = []
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multitexdata = []
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for lessonid in notes_dict["notes"]:
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if re.findall(lessonpattern,lessonid) != []:
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filename = notes_dict["notes"][lessonid]["id"]+notes_dict["notes"][lessonid]["filename"]+".tex"
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texdata = GenerateSingleLessonNote(id = lessonid,notesdict = notes_dict, metadict = dictionaries, templatepath = ".\模板文件\讲义模板.txt", outputfilepath = os.path.join(outputdir,filename),consecutivenumbering=consecutivenumbering,answered=answered)
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papernames.append(notes_dict["notes"][lessonid]["id"]+" \\ "+notes_dict["notes"][lessonid]["name"])
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multitexdata.append(re.findall(r"\\begin{center}\n{\\bf\\large \\papername}\n\\end{center}([\s\S]*\\end\{enumerate\})",texdata)[0])
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for notes_dict in jsondicts:
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for lessonid in notes_dict["notes"]:
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if re.findall(lessonpattern,lessonid) != []:
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filename = notes_dict["notes"][lessonid]["id"]+notes_dict["notes"][lessonid]["filename"]+".tex"
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papertype = lessonid[0]
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consecutivenumbering = notes_dict["structures"][papertype]["consecutivenumbering"]
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texdata = GenerateSingleLessonNote(id = lessonid,notesdict = notes_dict, metadict = dictionaries, templatepath = ".\模板文件\讲义模板.txt", outputfilepath = os.path.join(outputdir,filename),consecutivenumbering=consecutivenumbering,answered=answered)
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papernames.append(notes_dict["notes"][lessonid]["id"]+" \\ "+notes_dict["notes"][lessonid]["name"])
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multitexdata.append(re.findall(r"\\begin{center}\n{\\bf\\large \\papername}\n\\end{center}([\s\S]*\\end\{enumerate\})",texdata)[0])
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merged = ""
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for i in range(len(papernames)):
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merged += "\n\n\\chapter{"+papernames[i]+"}\n\n\n"
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