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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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wangweiye7840 2024-01-25 09:45:46 +08:00
parent bf391e2966
commit cc3550de49
2 changed files with 22 additions and 10 deletions
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2
工具v2/database_tools.py
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@ -1416,7 +1416,7 @@ def select_grade_from_pro_dict(prodict,grades):
def GenerateSingleLessonNote(id,notesdict,metadict,templatepath,outputfilepath,consecutivenumbering = False, answered = False): #20231215版讲义生成 def GenerateSingleLessonNote(id,notesdict,metadict,templatepath,outputfilepath,consecutivenumbering = False, answered = False): #20231215版讲义生成
notetitle = id + r" \ " + notesdict["notes"][id]["name"] notetitle = id + r" \ " + notesdict["notes"][id]["name"]
structure = notesdict["structures"][id[0].upper()] structure = notesdict["structures"][id[0].upper()]["structure"]
note_contents = notesdict["notes"][id] note_contents = notesdict["notes"][id]
output = "" output = ""
sections_list = [] sections_list = []

30
工具v2/讲义生成.py
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@ -1,12 +1,19 @@
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 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
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
outputdir = "d:/temp/26届材料" # 输出文件夹, 不建议修改 outputdir = "d:/temp/26届材料" # 输出文件夹, 不建议修改
answered = True # 设置是否编译答案 answered = True # 设置是否编译答案
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 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
jsonpath = "../备课组" #有json文件的根目录, 文件名需为"校本材料.json"
from database_tools import * from database_tools import *
notes_dict = load_dict(notes_dict_path)
jsondicts = []
for loc,dirs,files in os.walk(jsonpath):
if "校本材料.json" in files:
jsondicts.append(load_dict(os.path.join(loc,"校本材料.json")))
pro_dict = load_dict("../题库0.3/problems.json") pro_dict = load_dict("../题库0.3/problems.json")
obj_dict = load_dict("../题库0.3/LessonObj.json") obj_dict = load_dict("../题库0.3/LessonObj.json")
basicknowledge_dict = load_dict("../题库0.3/BasicKnowledge.json") basicknowledge_dict = load_dict("../题库0.3/BasicKnowledge.json")
@ -17,12 +24,17 @@ for t in (obj_dict,basicknowledge_dict,pro_dict):
papernames = [] papernames = []
multitexdata = [] multitexdata = []
for lessonid in notes_dict["notes"]:
if re.findall(lessonpattern,lessonid) != []: for notes_dict in jsondicts:
filename = notes_dict["notes"][lessonid]["id"]+notes_dict["notes"][lessonid]["filename"]+".tex" for lessonid in notes_dict["notes"]:
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) if re.findall(lessonpattern,lessonid) != []:
papernames.append(notes_dict["notes"][lessonid]["id"]+" \\ "+notes_dict["notes"][lessonid]["name"]) filename = notes_dict["notes"][lessonid]["id"]+notes_dict["notes"][lessonid]["filename"]+".tex"
multitexdata.append(re.findall(r"\\begin{center}\n{\\bf\\large \\papername}\n\\end{center}([\s\S]*\\end\{enumerate\})",texdata)[0]) papertype = lessonid[0]
consecutivenumbering = notes_dict["structures"][papertype]["consecutivenumbering"]
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)
papernames.append(notes_dict["notes"][lessonid]["id"]+" \\ "+notes_dict["notes"][lessonid]["name"])
multitexdata.append(re.findall(r"\\begin{center}\n{\\bf\\large \\papername}\n\\end{center}([\s\S]*\\end\{enumerate\})",texdata)[0])
merged = "" merged = ""
for i in range(len(papernames)): for i in range(len(papernames)):