61 lines
3.2 KiB
Python
61 lines
3.2 KiB
Python
# lessonpattern = r"U20240501" # 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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from database_tools import *
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configjson = load_dict("文本文件/config.json")["系列讲义生成.py"]
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lessonpattern = configjson["讲义标题格式"] # 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 = configjson["输出路径"] # 输出文件夹, 不建议修改
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# answered = configjson["提供答案"] # 设置是否编译答案
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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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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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raw_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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grades = configjson["字段显示设置"]["届别"]
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pro_dict = select_grade_from_pro_dict(raw_pro_dict,grades)
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dictionaries = {} #合并字典
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for t in (obj_dict,basicknowledge_dict,pro_dict):
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dictionaries.update(t)
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papernames = []
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multitexdata = []
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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 = GenerateSingleLessonNote2024(id = lessonid,notesdict=notes_dict,pro_dict=pro_dict,obj_dict=obj_dict,bk_dict=basicknowledge_dict,templatepath=".\模板文件\讲义模板.txt",outputfilepath = os.path.join(outputdir,filename),misc=configjson,consecutivenumbering = 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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merged += multitexdata[i]
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mergedtext = StringSubstitute(r"<<待替换[\d]+>>",ReadTextFile("./模板文件/合集模板.txt"),[merged])
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SaveTextFile(mergedtext,os.path.join(outputdir,f"合集{GetDate()}.tex"))
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if not "编译合集" in configjson or configjson["编译合集"] == False:
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tocompile = input("需要编译合集吗?(Y/[N]):")
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if configjson["编译合集"] == True or tocompile[0].upper() == "Y":
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XeLaTeXCompile(outputdir,f"合集{GetDate()}.tex")
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