新增工具v2目录, 继续丰富database_tools, 新功能已移至工具v2目录
This commit is contained in:
parent
391bf0b283
commit
b1a45c6518
|
|
@ -0,0 +1,255 @@
|
|||
import json,re,os,Levenshtein,fitz,time
|
||||
|
||||
def GetDate(): #获得当前日期
|
||||
currentdate = str(time.localtime().tm_year)+str(time.localtime().tm_mon).zfill(2)+str(time.localtime().tm_mday).zfill(2)
|
||||
return currentdate #返回当前日期yyyymmdd
|
||||
|
||||
#读取存储json数据库相关(不限于题号数据库)
|
||||
|
||||
def load_dict(filename): #根据filename读取json数据库并转化为python字典
|
||||
with open(filename,"r",encoding = "u8") as f:
|
||||
adict = json.loads(f.read())
|
||||
return adict #返回python字典
|
||||
|
||||
def save_dict(adict,filename): #将adict字典转化为json文件并保存至filename文件中
|
||||
try:
|
||||
with open(filename,"w",encoding = "u8") as f:
|
||||
f.write(json.dumps(adict,indent=4,ensure_ascii=False))
|
||||
return 0 #成功则返回0
|
||||
except:
|
||||
return 1 #不成功则返回1
|
||||
|
||||
|
||||
def pre_treating(string): #删除字符串中对比较无用的字符, 以供比较
|
||||
string = re.sub(r"\\begin\{center\}[\s\S]*?\\end\{center\}","",string)
|
||||
string = re.sub(r"(bracket\{\d+\})|(blank\{\d+\})|(fourch)|(twoch)|(onech)","",string)
|
||||
string = re.sub(r"[\s\\\{\}\$\(\)\[\]]","",string)
|
||||
string = re.sub(r"[\n\t]","",string)
|
||||
string = re.sub(r"(displaystyle)|(overrightarrow)|(overline)","",string)
|
||||
string = re.sub(r"[,\.:;?]","",string)
|
||||
return string #返回处理后的字符串
|
||||
|
||||
def treat_dict(p_dict): #对整个题库字典中的内容部分进行预处理，删除无用字符
|
||||
treated_dict = {}
|
||||
for id in p_dict:
|
||||
treated_dict[id] = {}
|
||||
treated_dict[id]["content"] = pre_treating(p_dict[id]["content"])
|
||||
treated_dict[id]["same"] = p_dict[id]["same"]
|
||||
return treated_dict #返回处理后的字典, 含内容字段及相同题目字段
|
||||
|
||||
def detectmaxsim(currentid,excludelist,adict): #检测与已知题目关联程度最大的题目（除外列表之外的部分）
|
||||
maxsim = -1
|
||||
argmaxsim = "000000"
|
||||
for id in adict:
|
||||
if not id in excludelist:
|
||||
simrate = Levenshtein.jaro(adict[id]["content"],adict[currentid]["content"])
|
||||
if simrate > maxsim:
|
||||
maxsim = simrate
|
||||
argmaxsim = id
|
||||
return (maxsim,argmaxsim) #返回最大关联系数与关联程度最大的题号
|
||||
|
||||
def generate_problem_series(startingid,length,adict): #在adict字典里返回从startingid开始的一系列题号, 每一题都是与上一题的关联程度最大的
|
||||
excludelist = [startingid]
|
||||
currentid = startingid
|
||||
for i in range(length):
|
||||
maxsim,currentid = detectmaxsim(currentid,excludelist,adict)
|
||||
excludelist.append(currentid)
|
||||
return ",".join(excludelist) #返回按顺序的题号列表
|
||||
|
||||
|
||||
def generate_number_set(string,*thedict): #根据可能含有":"和","的题号字符串生成一个用逗号分隔的六位题号列表, 例如"1:3,5"会生成["000001","000002","000003","000005"]
|
||||
#可变参数*dict如果存在, 将只生成dict的keys中包含的题号列表
|
||||
string = re.sub(r"[\n\s]","",string)
|
||||
string_list = string.split(",")
|
||||
numbers_list = []
|
||||
for s in string_list:
|
||||
if not ":" in s:
|
||||
numbers_list.append(s.zfill(6))
|
||||
else:
|
||||
start,end = s.split(":")
|
||||
for ind in range(int(start),int(end)+1):
|
||||
numbers_list.append(str(ind).zfill(6))
|
||||
if len(thedict) == 0:
|
||||
return numbers_list #返回六位题号列表
|
||||
elif len(thedict) == 1 and type(thedict[0]) == dict:
|
||||
numbers_list = [id for id in numbers_list if id in thedict[0]]
|
||||
return numbers_list #返回字典中存在的六位题号列表
|
||||
else:
|
||||
return "输入参数有误"
|
||||
|
||||
def generate_exp(id_list): #根据题号列表生成字符串式的含":"和","的题号字符串, 例如["000001","000002","000003","000005"]生成"000001:000003,000005", 若列表为空则生成"无有效题号"
|
||||
if not len(id_list) == 0:
|
||||
exp_list = []
|
||||
start = id_list[0]
|
||||
current = start
|
||||
end = start
|
||||
for id in id_list[1:]:
|
||||
# print(id,current)
|
||||
if int(id)-1 == int(current):
|
||||
current = id
|
||||
end = id
|
||||
else:
|
||||
if not start == end:
|
||||
exp_list.append('"'+start+":"+end+'"')
|
||||
else:
|
||||
exp_list.append('"'+start+'"')
|
||||
start = id
|
||||
current = id
|
||||
end = id
|
||||
if not start == end:
|
||||
exp_list.append('"'+start+":"+end+'"')
|
||||
else:
|
||||
exp_list.append('"'+start+'"')
|
||||
exp_str = ",".join(exp_list).replace('"',"")
|
||||
else:
|
||||
exp_str = "无有效题号"
|
||||
return exp_str #返回含有":"或","的题号字符串
|
||||
|
||||
def parsePDF(filePath): #提取pdf文件中的字符
|
||||
with fitz.open(filePath) as doc:
|
||||
text = ""
|
||||
for page in doc.pages():
|
||||
text += page.get_text() + "\n"
|
||||
return text
|
||||
|
||||
def extractIDs(filePath): #提取.txt,.tex或.pdf文件中的题号, 返回含有":"或","的题号字符串
|
||||
if filePath[-4:] == ".txt" or filePath[-4:] == ".tex":
|
||||
with open(filePath,"r",encoding = "u8") as f:
|
||||
data = f.read()
|
||||
elif filePath[-4:] == ".pdf":
|
||||
data = parsePDF(filePath)
|
||||
else:
|
||||
return "格式不正确"
|
||||
ids = re.findall(r"\((\d{6})\)",data)
|
||||
return generate_exp(ids)
|
||||
|
||||
|
||||
def spareIDs(dictname): #返回空闲题号
|
||||
idlist = list(dictname.keys())
|
||||
used_str = generate_exp(idlist)
|
||||
used_list = used_str.split(",")
|
||||
output = ""
|
||||
for group in range(len(used_list)-1):
|
||||
output += "首个空闲id: %s, 直至: %s"%(str(int(used_list[group][-6:])+1).zfill(6),str(int(used_list[group+1][:6])-1).zfill(6)) + "\n"
|
||||
output += "首个空闲id: %s, 直至: %s"%(str(int(used_list[-1][-6:])+1).zfill(6),"999999")
|
||||
return output #返回的是一个多行的字符串, 每一行中含有一个空闲题号的闭区间
|
||||
|
||||
def parse_usage(datastring): #对单个usages中的项的结果进行分词
|
||||
datastring = re.sub(r"\s+","\t",datastring.strip())
|
||||
datalist = datastring.split("\t")
|
||||
date = ""
|
||||
classname = ""
|
||||
diff = []
|
||||
for item in datalist:
|
||||
if not "." in item and not "高" in item and not "班" in item:
|
||||
date = item
|
||||
elif "高" in item or "班" in item:
|
||||
classname = item
|
||||
else:
|
||||
diff.append(item)
|
||||
return({"date":date,"classname":classname,"difficulty":diff}) #返回一个字典, "date"表示日期, "classname"表示班级, "difficultiy"表示难度列表
|
||||
|
||||
|
||||
def GenerateProblemListFromString(data): #从来自.tex文件的字符串生成题目列表, 每个item是一道题目, 新一行的%用作前缀
|
||||
try:
|
||||
data = re.findall(r"\\begin\{document\}([\s\S]*?)\\end\{document\}",data)[0]
|
||||
except:
|
||||
pass
|
||||
data = re.sub(r"\n{2,}","\n",data)
|
||||
data = re.sub(r"\\item",r"\\enditem\\item",data)
|
||||
data = re.sub(r"\\end\{enumerate\}",r"\\enditem",data) #切除无关信息, 保留关键信息
|
||||
problempositions = []
|
||||
for item in re.finditer(r"\\item([\s\S]*?)\\enditem",data):
|
||||
problempositions.append(item.regs[1]) #确定题目内容所在位置
|
||||
problem_list = []
|
||||
for pos in problempositions:
|
||||
content = data[pos[0]:pos[1]].strip()
|
||||
content = re.sub(r"\n\%[\s\S]*$","",content) #题目内容
|
||||
subdata = data[:pos[0]] #开始寻找出处中缀
|
||||
suflist = re.findall(r"\n(\%\s{0,}[\S]+)\n",subdata)
|
||||
if len(suflist) == 0:
|
||||
suffix = ""
|
||||
else:
|
||||
suffix = suflist[-1].replace("%","").strip()
|
||||
problem_list.append((content,suffix))
|
||||
return problem_list #返回一个列表, 每一项是一个由 题目内容 和 题目来源前缀 组成的元组
|
||||
|
||||
|
||||
def CreateEmptyProblem(problem): # 根据已有的题目创建新的空题目
|
||||
NewProblem = problem.copy()
|
||||
for field in NewProblem:
|
||||
if type(NewProblem[field]) == str:
|
||||
NewProblem[field] = ""
|
||||
elif type(NewProblem[field]) == list:
|
||||
NewProblem[field] = []
|
||||
elif type(NewProblem[field]) == int or type(NewProblem[field]) == float:
|
||||
NewProblem[field] = -1
|
||||
return NewProblem #返回一个空题目的字典, ID和内容待赋值
|
||||
|
||||
# 创建新题目
|
||||
def CreateNewProblem(id,content,origin,dict,editor): # 构建一道新题目的字典
|
||||
NewProblem = CreateEmptyProblem(dict["000001"])
|
||||
NewProblem["id"] = str(id).zfill(6)
|
||||
NewProblem["content"] = content
|
||||
NewProblem["origin"] = origin
|
||||
NewProblem["edit"] = [editor]
|
||||
return NewProblem # 返回一道新题目的字典, 已赋新的ID, 内容, 来源和编辑者
|
||||
|
||||
def CreateIDLinks(old_id_list,new_id_list,*thedict): #建立已有id和新id之间的联系, thedict为可选, 选中的话即为当前字典, 会从new_id_list中排除当前字典中有的项
|
||||
if len(thedict) == 1 and type(thedict[0]) == dict:
|
||||
new_id_list = [id for id in new_id_list if not id in thedict[0]]
|
||||
if len(old_id_list)>len(new_id_list):
|
||||
return "新ID个数不足."
|
||||
else:
|
||||
id_links = []
|
||||
for i in range(len(old_id_list)):
|
||||
id_links.append((old_id_list[i],new_id_list[i]))
|
||||
return id_links # 返回id联系, 每个元组表示一对id, 前者是旧id, 后者是新id
|
||||
|
||||
|
||||
def CreateRelatedProblems(links,thedict,filepath): # 根据links关联生成待编辑的新题目字典, 等待编辑修改
|
||||
try:
|
||||
new_dict = {}
|
||||
for item in links:
|
||||
old_id,new_id = item
|
||||
new_dict[old_id] = thedict[old_id].copy()
|
||||
new_dict[old_id]["id"] = new_id + "待替换"
|
||||
new_dict[old_id]["content"] = "(待编辑)" + new_dict[old_id]["content"]
|
||||
new_dict[old_id]["usages"] = []
|
||||
new_dict[old_id]["same"] = []
|
||||
new_dict[old_id]["unrelated"] = []
|
||||
new_dict[old_id]["edit"] = new_dict[old_id]["edit"].copy() + [GetDate()+"\t"]
|
||||
new_dict[old_id]["origin"] += "-" + GetDate() + "修改"
|
||||
save_dict(new_dict,filepath)
|
||||
except:
|
||||
return 1 #异常返回1
|
||||
return 0 #正常返回0
|
||||
|
||||
def ImportRelatedProblems(new_json,main_json): # 导入编辑过的关联题目json文件到主数据库
|
||||
pro_dict = load_dict(main_json)
|
||||
new_dict = load_dict(new_json)
|
||||
for id in new_dict:
|
||||
new_id = new_dict[id]["id"].replace("待替换","") #新题号后需要跟"待替换"字样
|
||||
if new_id in pro_dict:
|
||||
print("题号有重复")
|
||||
return 1
|
||||
else:
|
||||
pro_dict[new_id] = new_dict[id].copy()
|
||||
pro_dict[new_id]["id"] = new_id
|
||||
pro_dict[id]["related"] += [new_id]
|
||||
pro_dict[new_id]["related"] += [id]
|
||||
print("导入关联题目 %s -> %s 信息成功."%(id,new_id))
|
||||
save_dict(dict(sorted(pro_dict.items())),main_json) #保存至目标pro_dict文件
|
||||
return 0 #正常返回0
|
||||
|
||||
|
||||
def strip_suffix(originalString, suf_words_list): # 字符串去除指定后缀
|
||||
for sw in suf_words_list:
|
||||
output = re.sub(sw+r"[\S]*$","",originalString)
|
||||
return(output) # 返回原字符串中截去suf_words_list及之后字符的部分
|
||||
|
||||
def get_striped_origin(pro_dict,id,suf_words_list): # 题目来源去除指定后缀
|
||||
return strip_suffix(pro_dict[id]["origin"],suf_words_list) # 返回去除指定后缀后的题目来源
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("数据库工具, import用.")
|
||||
|
|
@ -4,6 +4,15 @@ def GetDate(): #获得当前日期
|
|||
currentdate = str(time.localtime().tm_year)+str(time.localtime().tm_mon).zfill(2)+str(time.localtime().tm_mday).zfill(2)
|
||||
return currentdate #返回当前日期yyyymmdd
|
||||
|
||||
def ReadTextFile(filepath): #读取文本格式的文件
|
||||
with open(filepath,"r",encoding="u8") as f:
|
||||
data = f.read()
|
||||
return data #返回文本格式文件的内容
|
||||
|
||||
def SortDict(adict): #按字典项顺序排序字典
|
||||
return dict(sorted(adict.items())) #返回排序后的字典
|
||||
|
||||
|
||||
#读取存储json数据库相关(不限于题号数据库)
|
||||
|
||||
def load_dict(filename): #根据filename读取json数据库并转化为python字典
|
||||
|
|
@ -186,7 +195,6 @@ def CreateEmptyProblem(problem): # 根据已有的题目创建新的空题目
|
|||
NewProblem[field] = -1
|
||||
return NewProblem #返回一个空题目的字典, ID和内容待赋值
|
||||
|
||||
# 创建新题目
|
||||
def CreateNewProblem(id,content,origin,dict,editor): # 构建一道新题目的字典
|
||||
NewProblem = CreateEmptyProblem(dict["000001"])
|
||||
NewProblem["id"] = str(id).zfill(6)
|
||||
|
|
@ -195,6 +203,37 @@ def CreateNewProblem(id,content,origin,dict,editor): # 构建一道新题目的
|
|||
NewProblem["edit"] = [editor]
|
||||
return NewProblem # 返回一道新题目的字典, 已赋新的ID, 内容, 来源和编辑者
|
||||
|
||||
|
||||
def AddProblemstoDict(startingid,raworigin,problems,editor,indexdescription,thedict): #将来自GenerateProblemListFromString的列表中的题目添加到thedict字典
|
||||
id = int(startingid)
|
||||
currentsuffix = problems[0][1]
|
||||
problemindex = 0
|
||||
for p_and_suffix in problems:
|
||||
p, suffix = p_and_suffix
|
||||
pid = str(id).zfill(6)
|
||||
if pid in thedict:
|
||||
print("ID %s 已被使用."%pid)
|
||||
return 1
|
||||
else:
|
||||
if suffix == currentsuffix:
|
||||
problemindex += 1
|
||||
else:
|
||||
problemindex = 1
|
||||
origin = raworigin + suffix + indexdescription.strip() + ("" if indexdescription.strip() == "" else str(problemindex))
|
||||
newproblem = CreateNewProblem(pid,p.strip(),origin,thedict,GetDate() + "\t" + editor)
|
||||
if "blank" in p:
|
||||
newproblem["genre"] = "填空题"
|
||||
elif "bracket" in p:
|
||||
newproblem["genre"] = "选择题"
|
||||
else:
|
||||
newproblem["genre"] = "解答题"
|
||||
thedict[pid] = newproblem
|
||||
maxsim,argmaxsim = detectmaxsim(pid,[pid],thedict)
|
||||
print("已收录题号: %s, 最接近题目: %s, 相似程度: %.3f, 题目类型: %s, 题目内容: %s"%(pid,argmaxsim,maxsim,newproblem["genre"],p))
|
||||
id += 1
|
||||
return 0
|
||||
|
||||
|
||||
def CreateIDLinks(old_id_list,new_id_list,*thedict): #建立已有id和新id之间的联系, thedict为可选, 选中的话即为当前字典, 会从new_id_list中排除当前字典中有的项
|
||||
if len(thedict) == 1 and type(thedict[0]) == dict:
|
||||
new_id_list = [id for id in new_id_list if not id in thedict[0]]
|
||||
|
|
@ -239,9 +278,17 @@ def ImportRelatedProblems(new_json,main_json): # 导入编辑过的关联题目j
|
|||
pro_dict[id]["related"] += [new_id]
|
||||
pro_dict[new_id]["related"] += [id]
|
||||
print("导入关联题目 %s -> %s 信息成功."%(id,new_id))
|
||||
save_dict(dict(sorted(pro_dict.items())),main_json) #保存至目标pro_dict文件
|
||||
save_dict(SortDict(pro_dict),main_json) #保存至目标pro_dict文件
|
||||
return 0 #正常返回0
|
||||
|
||||
|
||||
def strip_suffix(originalString, suf_words_list): # 字符串去除指定后缀
|
||||
for sw in suf_words_list:
|
||||
output = re.sub(sw+r"[\S]*$","",originalString)
|
||||
return(output) # 返回原字符串中截去suf_words_list及之后字符的部分
|
||||
|
||||
def get_striped_origin(pro_dict,id,suf_words_list): # 题目来源去除指定后缀
|
||||
return strip_suffix(pro_dict[id]["origin"],suf_words_list) # 返回去除指定后缀后的题目来源
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("数据库工具, import用.")
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
from database_tools import *
|
||||
|
||||
pro_dict = load_dict(r"..\题库0.3\Problems.json")
|
||||
print(spareIDs(pro_dict))
|
||||
|
||||
|
|
@ -0,0 +1,16 @@
|
|||
#修改起始id,出处,文件名
|
||||
starting_id = 18237 #起始id设置, 来自"寻找空闲题号"功能
|
||||
raworigin = "测试一下" #题目来源的前缀(中缀在.tex文件中)
|
||||
filename = r"C:\Users\weiye\Documents\wwy sync\临时工作区\自拟题目16.tex" #题目的来源.tex文件
|
||||
editor = "王伟叶" #编辑者姓名
|
||||
IndexDescription = " " #设置是否使用后缀, 留空("")则不用后缀, 不留空则以所设字符串作为后缀起始词, 按.tex文件中的顺序编号
|
||||
|
||||
|
||||
from database_tools import *
|
||||
|
||||
problems = GenerateProblemListFromString(ReadTextFile(filename))
|
||||
pro_dict = load_dict(r"../题库0.3/Problems.json")
|
||||
AddProblemstoDict(starting_id,raworigin,problems,editor,IndexDescription,pro_dict)
|
||||
save_dict(SortDict(pro_dict),r"../题库0.3/Problems.json")
|
||||
|
||||
|
||||
Reference in New Issue