forked from mrlan/EnglishPal
Bug476-ZhangWeiHao-YuHuangtao
parent
541f78c7ea
commit
fc515a7b08
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@ -7,7 +7,7 @@ import random, glob
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import hashlib
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from datetime import datetime
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from flask import Flask, request, redirect, render_template, url_for, session, abort, flash, get_flashed_messages
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from difficulty import get_difficulty_level, text_difficulty_level, user_difficulty_level
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from difficulty import get_difficulty_level_for_user, text_difficulty_level, user_difficulty_level
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path_prefix = '/var/www/wordfreq/wordfreq/'
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@ -45,7 +45,7 @@ def get_today_article(user_word_list, articleID):
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# Choose article according to reader's level
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d1 = load_freq_history(path_prefix + 'static/frequency/frequency.p')
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d2 = load_freq_history(path_prefix + 'static/words_and_tests.p')
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d3 = get_difficulty_level(d1, d2)
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d3 = get_difficulty_level_for_user(d1, d2)
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d = {}
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d_user = load_freq_history(user_word_list)
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@ -37,7 +37,7 @@ def difficulty_level_from_frequency(word, d):
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return level
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def get_difficulty_level_for_words_and_tests(d):
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def convert_test_type_to_difficulty_level(d):
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"""
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对原本的单词库中的单词进行难度评级
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:param d: 存储了单词库pickle文件中的单词的字典
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@ -51,12 +51,12 @@ def get_difficulty_level_for_words_and_tests(d):
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result[k] = 4 # CET4 word has level 4
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elif 'CET6' in d[k] or 'GRADUATE' in d[k]:
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result[k] = 6
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elif 'IELTS' in d[k]: # 雅思或研究生英语
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elif 'IELTS' in d[k]: # 雅思
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result[k] = 7
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elif 'BBC' in d[k]:
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result[k] = 8
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# elif 'EnWords' in d[k]: # 除基础词汇外的绝大多数词,包括一些犄角旮旯的专业词汇,近九万个,定级不太好处理,绝大多数我是真不认识
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# result[k] = 7
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elif 'EnWords' in d[k]: # 除基础词汇外的绝大多数词,包括一些犄角旮旯的专业词汇,近九万个,定级不太好处理,绝大多数我是真不认识
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result[k] = 3
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return result # {'apple': 4, ...}
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@ -78,13 +78,13 @@ def simplify_the_words_dict(d):
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return result
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def get_difficulty_level(d1, d2):
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def get_difficulty_level_for_user(d1, d2):
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"""
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d2 来自于词库的27000个已标记单词
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d1 用户不会的词
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在d2的后面添加单词,没有新建一个新的字典
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"""
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d2 = get_difficulty_level_for_words_and_tests(d2) # 根据d2的标记评级{'apple': 4, 'abandon': 4, ...}
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d2 = convert_test_type_to_difficulty_level(d2) # 根据d2的标记评级{'apple': 4, 'abandon': 4, ...}
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d2_simplified = simplify_the_words_dict(d2) # 提取d2的词根 {'appl': 4, 'abandon': 4, ...}
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stem = snowballstemmer.stemmer('english')
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@ -181,7 +181,7 @@ if __name__ == '__main__':
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#print(d2)
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d3 = get_difficulty_level(d1, d2)
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d3 = get_difficulty_level_for_user(d1, d2)
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s = '''
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South Lawn
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