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				@ -1,6 +1,5 @@
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				from WordFreq import WordFreq
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				from wordfreqCMD import youdao_link, sort_in_descending_order
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				from UseSqlite import InsertQuery, RecordQuery
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				import pickle_idea, pickle_idea2
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				import os
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				import random, glob
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				@ -8,6 +7,7 @@ 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 app.model import article
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				path_prefix = '/var/www/wordfreq/wordfreq/'
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				@ -15,11 +15,7 @@ path_prefix = './'  # comment this line in deployment
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				def total_number_of_essays():
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				    rq = RecordQuery(path_prefix + 'static/wordfreqapp.db')
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				    rq.instructions("SELECT * FROM article")
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				    rq.do()
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				    result = rq.get_results()
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				    return len(result)
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				    return article.get_number_of_articles()
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				def get_article_title(s):
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				@ -33,22 +29,18 @@ def get_article_body(s):
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				def get_today_article(user_word_list, visited_articles):
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				    rq = RecordQuery(path_prefix + 'static/wordfreqapp.db')
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				    if visited_articles is None:
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				        visited_articles = {
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				            "index" : 0,  # 为 article_ids 的索引
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				            "article_ids": []  # 之前显示文章的id列表,越后越新
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				        }
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				    if visited_articles["index"] > len(visited_articles["article_ids"])-1:  # 生成新的文章,因此查找所有的文章
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				        rq.instructions("SELECT * FROM article")
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				        result = article.get_all_articles()
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				    else:  # 生成阅读过的文章,因此查询指定 article_id 的文章
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				        if visited_articles["article_ids"][visited_articles["index"]] == 'null':  # 可能因为直接刷新页面导致直接去查询了'null',因此当刷新的页面的时候,需要直接进行“上一篇”操作
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				            visited_articles["index"] -= 1
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				            visited_articles["article_ids"].pop()
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				        rq.instructions('SELECT * FROM article WHERE article_id=%d' % (visited_articles["article_ids"][visited_articles["index"]]))
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				    rq.do()
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				    result = rq.get_results()
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				    random.shuffle(result)
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				        result = article.get_article_by_id(visited_articles["article_ids"][visited_articles["index"]])
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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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