refactor-wangyu
杨昱晨 2023-06-01 19:02:28 +08:00
parent b41e1044bc
commit f741f84b4d
10 changed files with 92 additions and 88 deletions

View File

@ -22,12 +22,12 @@ def total_number_of_essays():
return len(result)
def get_article_title(s):
return s.split('\n')[0]
def get_article_title(article):
return article.split('\n')[0]
def get_article_body(s):
lst = s.split('\n')
def get_article_body(article):
lst = article.split('\n')
lst.pop(0) # remove the first line
return '\n'.join(lst)
@ -111,11 +111,11 @@ def within_range(x, y, r):
return x > y and abs(x - y) <= r
def get_question_part(s):
s = s.strip()
def get_question_part(article):
article = article.strip()
result = []
flag = 0
for line in s.split('\n'):
for line in article.split('\n'):
line = line.strip()
if line == 'QUESTION':
result.append(line)
@ -127,11 +127,11 @@ def get_question_part(s):
return '\n'.join(result)
def get_answer_part(s):
s = s.strip()
def get_answer_part(article):
article = article.strip()
result = []
flag = 0
for line in s.split('\n'):
for line in article.split('\n'):
line = line.strip()
if line == 'ANSWER':
flag = 1

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@ -3,6 +3,7 @@ import string
from datetime import datetime, timedelta
from UseSqlite import InsertQuery, RecordQuery
def md5(s):
'''
MD5摘要
@ -12,14 +13,16 @@ def md5(s):
h = hashlib.md5(s.encode(encoding='utf-8'))
return h.hexdigest()
# import model.user after the defination of md5(s) to avoid circular import
from model.user import get_user_by_username, insert_user, update_password_by_username
path_prefix = '/var/www/wordfreq/wordfreq/'
path_prefix = './' # comment this line in deployment
def verify_pass(newpass,oldpass):
if(newpass==oldpass):
def verify_pass(new_password, old_password):
if new_password == old_password:
return True

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@ -43,7 +43,6 @@ def signup():
return jsonify({'status': '1'})
@accountService.route("/login", methods=['GET', 'POST'])
def login():
'''

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@ -18,25 +18,25 @@ def load_record(pickle_fname):
return d
def convert_test_type_to_difficulty_level(d):
def convert_test_type_to_difficulty_level(words_dict):
"""
对原本的单词库中的单词进行难度评级
:param d: 存储了单词库pickle文件中的单词的字典
:param words_dict: 存储了单词库pickle文件中的单词的字典
:return:
"""
result = {}
L = list(d.keys()) # in d, we have test types (e.g., CET4,CET6,BBC) for each word
words_lst = list(words_dict.keys()) # in words_dict, we have test types (e.g., CET4,CET6,BBC) for each word
for k in L:
if 'CET4' in d[k]:
for k in words_lst:
if 'CET4' in words_dict[k]:
result[k] = 4 # CET4 word has level 4
elif 'OXFORD3000' in d[k]:
elif 'OXFORD3000' in words_dict[k]:
result[k] = 5
elif 'CET6' in d[k] or 'GRADUATE' in d[k]:
elif 'CET6' in words_dict[k] or 'GRADUATE' in words_dict[k]:
result[k] = 6
elif 'OXFORD5000' in d[k] or 'IELTS' in d[k]:
elif 'OXFORD5000' in words_dict[k] or 'IELTS' in words_dict[k]:
result[k] = 7
elif 'BBC' in d[k]:
elif 'BBC' in words_dict[k]:
result[k] = 8
return result # {'apple': 4, ...}

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@ -63,7 +63,7 @@ def mark_word():
'''
if request.method == 'POST':
d = load_freq_history(path_prefix + 'static/frequency/frequency.p')
lst_history = pickle_idea.dict2lst(d)
lst_history = pickle_idea.dict_to_lst(d)
lst = []
for word in request.form.getlist('marked'):
lst.append((word, 1))
@ -86,7 +86,7 @@ def mainpage():
lst = f.get_freq()
# save history
d = load_freq_history(path_prefix + 'static/frequency/frequency.p')
lst_history = pickle_idea.dict2lst(d)
lst_history = pickle_idea.dict_to_lst(d)
d = pickle_idea.merge_frequency(lst, lst_history)
pickle_idea.save_frequency_to_pickle(d, path_prefix + 'static/frequency/frequency.p')
return render_template('mainpage_post.html', lst=lst, yml=Yaml.yml)
@ -96,7 +96,7 @@ def mainpage():
number_of_essays = total_number_of_essays()
d = load_freq_history(path_prefix + 'static/frequency/frequency.p')
d_len = len(d)
lst = sort_in_descending_order(pickle_idea.dict2lst(d))
lst = sort_in_descending_order(pickle_idea.dict_to_lst(d))
return render_template('mainpage_get.html',
admin_name=ADMIN_NAME,
random_ads=random_ads,

View File

@ -10,7 +10,7 @@ import pickle
from datetime import datetime
def lst2dict(lst, d):
def lst_to_dict(lst, d):
'''
Store the information in list lst to dictionary d.
Note: nothing is returned.
@ -25,14 +25,14 @@ def lst2dict(lst, d):
d[word] += freq
def dict2lst(d):
def dict_to_lst(d):
return list(d.items()) # a list of (key, value) pairs
def merge_frequency(lst1, lst2):
def merge_frequency(list1, list2):
d = {}
lst2dict(lst1, d)
lst2dict(lst2, d)
lst_to_dict(list1, d)
lst_to_dict(list2, d)
return d
@ -54,6 +54,7 @@ def save_frequency_to_pickle(d, pickle_fname):
pickle.dump(d2, f)
f.close()
def unfamiliar(path, word):
f = open(path, "rb")
dic = pickle.load(f)
@ -61,6 +62,7 @@ def unfamiliar(path,word):
fp = open(path, "wb")
pickle.dump(dic, fp)
def familiar(path, word):
f = open(path, "rb")
dic = pickle.load(f)
@ -75,12 +77,12 @@ if __name__ == '__main__':
lst1 = [('apple',2), ('banana',1)]
d = {}
lst2dict(lst1, d) # d will change
lst_to_dict(lst1, d) # d will change
save_frequency_to_pickle(d, 'frequency.p') # frequency.p is our database
lst2 = [('banana',2), ('orange', 4)]
d = load_record('frequency.p')
lst1 = dict2lst(d)
lst1 = dict_to_lst(d)
d = merge_frequency(lst2, lst1)
print(d)

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@ -11,6 +11,7 @@
import pickle
from datetime import datetime
def lst2dict(lst, d):
'''
Store the information in list lst to dictionary d.
@ -25,6 +26,7 @@ def lst2dict(lst, d):
else:
d[word] += dates
def deleteRecord(path, word):
with open(path, 'rb') as f:
db = pickle.load(f)

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@ -93,7 +93,7 @@ def familiar(username, word):
@userService.route("/<username>/<word>/del", methods=['GET', 'POST'])
def deleteword(username, word):
def delete_word(username, word):
'''
删除单词
:param username: 用户名
@ -181,6 +181,7 @@ def user_mark_word(username):
else:
return 'Under construction'
def get_time():
'''
获取当前时间

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@ -9,7 +9,8 @@ import operator
import os, sys # 引入模块sys因为我要用里面的sys.argv列表中的信息来读取命令行参数。
import pickle_idea
def freq(fruit):
def freq(s):
'''
功能 把字符串转成列表 目的是得到每个单词的频率
输入 字符串
@ -18,27 +19,26 @@ def freq(fruit):
'''
result = []
fruit = fruit.lower() # 字母转小写
flst = fruit.split() # 字符串转成list
c = collections.Counter(flst)
s = s.lower() # 字母转小写
word_lst = s.split() # 字符串转成list
c = collections.Counter(word_lst)
result = c.most_common()
return result
def youdao_link(s): # 有道链接
link = 'http://youdao.com/w/eng/' + s + '/#keyfrom=dict2.index'# 网址
def youdao_link(word): # 有道链接
link = 'http://youdao.com/w/eng/' + word + '/#keyfrom=dict2.index' # 网址
return link
def file2str(fname):#文件转字符
f = open(fname) #打开
s = f.read() #读取
def file_to_str(f_name): # 文件转字符
f = open(f_name) # 打开
f_str = f.read() # 读取
f.close() # 关闭
return s
return f_str
def remove_punctuation(s): # 这里是s是形参 (parameter)。函数被调用时才给s赋值。
def remove_punctuation(s): # 这里是words_text是形参 (parameter)。函数被调用时才给words_text赋值。
special_characters = '\_©~<=>+-/[]*&$%^@.,?!:;#()"“”—‘’{}|' # 把里面的字符都去掉
for c in special_characters:
s = s.replace(c, ' ') # 防止出现把 apple,apple 移掉逗号后变成 appleapple 情况
@ -47,15 +47,15 @@ def remove_punctuation(s): # 这里是s是形参 (parameter)。函数被调用
if '\'' in s:
n = len(s)
t = '' # 用来收集我需要保留的字符
characters = '' # 用来收集我需要保留的字符
for i in range(n): # 只有单引号前后都有英文字符,才保留
if s[i] == '\'':
i_is_ok = i - 1 >= 0 and i + 1 < n
if i_is_ok and s[i - 1] in string.ascii_letters and s[i + 1] in string.ascii_letters:
t += s[i]
characters += s[i]
else:
t += s[i]
return t
characters += s[i]
return characters
else:
return s
@ -93,7 +93,7 @@ if __name__ == '__main__':
s = input()
elif num == 2: # 从文件读入字符串
fname = sys.argv[1]
s = file2str(fname)
s = file_to_str(fname)
else:
print('I can accept at most 2 arguments.')
sys.exit() # 结束程序运行, 下面的代码不会被执行了。
@ -112,12 +112,9 @@ if __name__ == '__main__':
else:
d = {}
print(sort_in_descending_order(pickle_idea.dict2lst(d)))
print(sort_in_descending_order(pickle_idea.dict_to_lst(d)))
# 合并频率
lst_history = pickle_idea.dict2lst(d)
lst_history = pickle_idea.dict_to_lst(d)
d = pickle_idea.merge_frequency(L, lst_history)
pickle_idea.save_frequency_to_pickle(d, 'frequency.p')

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@ -1,4 +1,4 @@
Flask==1.1.2
Flask==2.2.3
selenium==3.141.0
PyYAML~=6.0
pony==0.7.16