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增加批量添加字段数据的功能说明

This commit is contained in:
WangWeiye 2023-05-25 16:39:18 +08:00
parent 82b00ad2aa
commit 71ce5c5e23
1 changed files with 21 additions and 17 deletions
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38
工具/批量添加字段数据.py
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@ -18,8 +18,8 @@ def FloatToInt(string):
with open(datafile,"r",encoding="utf8") as f:
data = f.read().strip()
pos = data.index("\n")
field = data[:pos].strip()
appending_data = data[pos:]
field = data[:pos].strip() #文件的第一个非空行的内容为字段名
appending_data = data[pos:] #第一个非空行之后的内容为要添加的数据
with open(r"../题库0.3/Problems.json","r",encoding = "utf8") as f:
database = f.read()
@ -29,53 +29,57 @@ with open(r"../题库0.3/LessonObj.json","r",encoding = "utf8") as f:
obj_dict = json.loads(database)
#该字段列表可能需要更新
fields = ["content","objs","tags","genre","ans","solution","duration","usages","origin","edit","same","related","remark","space","unrelated"]
fields = ["content","objs","tags","genre","ans","solution","duration","usages","origin","edit","same","related","remark","space","unrelated"] #题库中的现有字段, 可能会需要更新
if field in fields:
field_type = type(pro_dict["000001"][field])
datalist = [record.strip() for record in appending_data.split("\n\n") if len(trim(record)) > 0]
field_type = type(pro_dict["000001"][field]) #得到字段类型
datalist = [record.strip() for record in appending_data.split("\n\n") if len(trim(record)) > 0] #以连续两个回车为分隔切分要添加的数据
for record in datalist:
id = re.findall(r"^[\d]{1,}",record)[0]
data = record[len(id):].strip()
data = record[len(id):].strip() #每个记录最前方的连续数字作为题号(补全六位), 除题号外的部分作为内容
id = id.zfill(6)
if not id in pro_dict:
print("题号:",id,"不在数据库中.")
break
#字符串类型字段添加数据
elif field_type == str and data in pro_dict[id][field]:
elif field_type == str and data in pro_dict[id][field]: #若数据库内该题目字段中已有该数据则不作变更
print("题号:",id,", 字段:",field,"中已有该数据:",data)
elif field_type == str and not data in pro_dict[id][field] and not field == "ans" and not field == "space":
elif field_type == str and not data in pro_dict[id][field] and not field == "ans" and not field == "space": #若数据库内该题目字段中未有该数据, 并且字段不是ans也不是space, 则在原内容之后添加新内容
origin_data = pro_dict[id][field]
new_data = trim(origin_data + "\n" + data)
pro_dict[id][field] = new_data
print("题号:",id,", 字段:",field,"中已添加数据:",data)
elif field_type == str and not data in pro_dict[id][field] and field == "ans" or field == "space":
elif field_type == str and not data in pro_dict[id][field] and field == "ans" or field == "space": #若数据库内该题目字段中未有该数据, 并且字段是ans或space, 则用新内容覆盖原内容
pro_dict[id][field] = data
print("题号:",id,", 字段:",field,"中已修改数据:",data)
#数值类型字段添加数据
elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])<0.01:
elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])<0.01: #数值型数据若和原数据相差小于0.01, 则维持原状不变
print("题号:",id,", 字段:",field,"中已有该数据:",FloatToInt(data))
elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])>=0.01:
elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])>=0.01: #数值型数据若和原数据相差大于等于0.01, 则替换原数据
pro_dict[id][field] = FloatToInt(data)
print("题号:",id,", 字段:",field,"中已修改数据:",FloatToInt(data))
#列表类型字段添加数据
elif field_type == list:
cell_data_list = [d.strip() for d in data.split("\n")]
for cell_data in cell_data_list:
if cell_data in pro_dict[id][field]:
elif field_type == list:
cell_data_list = [d.strip() for d in data.split("\n")] #字段为列表型时, 先按照回车切分数据中的各子项
for cell_data in cell_data_list:
if cell_data in pro_dict[id][field]: #若数据库内该题目字段中已有该数据则不作变更
print("题号:",id,", 字段:",field,"中已有该数据:",cell_data)
elif not field == "objs":
elif not field == "objs" and not field == "usages": #若数据库内该题目字段中未有该数据, 且不是objs字段, 也不是usages字段, 则添加新数据
pro_dict[id][field].append(cell_data)
print("题号:",id,", 字段:",field,"中已添加数据:",cell_data)
else:
elif field == "objs": #若数据库内该题目字段中未有该数据, 且是objs字段, 则检测目标字典后, 再添加有效的新数据
if not cell_data in obj_dict and not cell_data.upper() == "KNONE":
print("题号:",id,", 字段:",field,"目标编号有误:",cell_data)
else:
pro_dict[id][field].append(cell_data.upper())
print("题号:",id,", 字段:",field,"中已添加数据:",cell_data.upper())
elif field == "usages": #若字段为usages, 则先判断班级是否做过该题目, 随后做相应处理
else:
print("字段名有误")