forked from mrlan/EnglishPal
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Bug546-Lix
...
Bug476-LiM
Author | SHA1 | Date |
---|---|---|
李梦蝶 | e3d646c10c |
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@ -1,3 +1,4 @@
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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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import pickle_idea, pickle_idea2
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@ -10,6 +11,7 @@ from difficulty import get_difficulty_level_for_user, text_difficulty_level, use
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from model.article import get_all_articles, get_article_by_id, get_number_of_articles
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import logging
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path_prefix = './'
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db_path_prefix = './db/' # comment this line in deployment
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@ -28,7 +30,8 @@ def get_article_body(s):
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return '\n'.join(lst)
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def get_today_article(user_word_list, visited_articles):
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#user_articlesWithoutNewWords_record 保存前端传来的用户阅读时长超过15秒且不含高亮生词的文章索引
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def get_today_article(user_word_list, visited_articles,user_articlesWithoutNewWords_record):
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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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@ -57,7 +60,12 @@ def get_today_article(user_word_list, visited_articles):
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d_user = load_freq_history(user_word_list)
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logging.debug('* get_today_article(): user_difficulty_level() start')
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user_level = user_difficulty_level(d_user, d3) # more consideration as user's behaviour is dynamic. Time factor should be considered.
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articles_id_list=None
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if os.path.exists(user_articlesWithoutNewWords_record) != False:
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articles_id_list = pickle_idea.load_record(user_articlesWithoutNewWords_record)
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#将 用户阅读时长超过15秒且不含高亮生词的文章记录 传入user_difficulty_level并据此 提高用户level
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user_level = user_difficulty_level(d_user, d3,articles_id_list) # more consideration as user's behaviour is dynamic. Time factor should be considered.
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logging.debug('* get_today_article(): done')
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text_level = 0
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if visited_articles["index"] > len(visited_articles["article_ids"])-1: # 生成新的文章
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@ -90,6 +98,7 @@ def get_today_article(user_word_list, visited_articles):
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"user_level": '%4.1f' % user_level,
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"text_level": '%4.1f' % text_level,
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"date": d['date'],
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"article_id":d['article_id'],#该变量存储 用户阅读时长超过15秒且不含高亮生词的文章索引
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"article_title": get_article_title(d['text']),
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"article_body": get_article_body(d['text']),
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"source": d["source"],
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@ -7,6 +7,7 @@
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import pickle
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import math
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from wordfreqCMD import remove_punctuation, freq, sort_in_descending_order, sort_in_ascending_order
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import snowballstemmer
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@ -94,10 +95,21 @@ def revert_dict(d):
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return d2
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def user_difficulty_level(d_user, d):
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#articlesWithoutNewWords 存储用户阅读时长超过15秒且不含高亮生词的文章索引信息(用户阅读完后没有添加生词的文章)
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def user_difficulty_level(d_user, d,articlesWithoutNewWords):
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d_user2 = revert_dict(d_user) # key is date, and value is a list of words added in that date
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count = 0
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geometric = 1
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#传入根据用户生词计算出的用户level
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def get_level_sum(level):
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if articlesWithoutNewWords!=None:#若用户阅读完后没有添加生词的文章索引不为空,则根据这些文章的等级适度提高用户的level
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for article in articlesWithoutNewWords:
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if(level<float(article.get('text_level'))):
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level+=(float(article.get('text_level'))-level)/20 #根据文章等级提高用户level,用户level与用户阅读完后没有添加生词的文章level 差距越大,分数提高程度越大
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print(f"用户等级{level}")
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print("-----------------------------------")
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return level
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for date in sorted(d_user2.keys(),
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reverse=True): # most recently added words are more important while determining user's level
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lst = d_user2[date] # a list of words
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@ -115,10 +127,9 @@ def user_difficulty_level(d_user, d):
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geometric = geometric * (hard)
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count += 1
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if count >= 10:
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return geometric ** (1 / count)
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return geometric ** (1 / max(count, 1))
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return get_level_sum(geometric ** (1 / count))
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return get_level_sum(geometric ** (1 / max(count, 1)))
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def text_difficulty_level(s, d):
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s = remove_punctuation(s)
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@ -214,6 +214,12 @@
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elements.rangeValueDisplay.textContent = `${rangeValue}x`;
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localStorage.setItem('rangeValue', rangeValue);
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});
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startTime=Date.now();//记录用户页面的初始时间
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if(window.performance.navigation.type!=1){//将第一次加载页面时的文章id,level保存到本地
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sessionStorage.setItem('article_id','{{today_article['article_id']}}');
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sessionStorage.setItem('text_level','{{today_article['text_level']}}');
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}
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};
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function clearSelectedWords() {
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@ -223,6 +229,18 @@
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function load_next_article(){
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//在进入下一篇之前处理
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endTime=Date.now();//记录用户点击下一篇文章时的时间
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spendtime=endTime-startTime;//计算出用户浏览该页面的时长,单位毫秒
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if(spendtime/1000>15){//若浏览时长大于15,说明用户认真阅读了该篇文章(时长小于15代表用户不感兴趣,跳过,不做任何处理)
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if(!checkMarkedWords()){//检查该篇文章是否有生词高亮,若没有将文章id,level发送到后台,保存至文件中,在计算用户level时根据文件中保存的文章等级计算
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$.ajax({
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url: '/submit_article_id_without_new_words/{{username}}/'+sessionStorage.getItem('article_id')+'/'+sessionStorage.getItem('text_level'),
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dataType: 'json',
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success: function(data) {}
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});
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}
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}
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$.ajax({
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url: '/get_next_article/{{username}}',
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dataType: 'json',
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@ -235,8 +253,21 @@
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}
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}
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});
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startTime=Date.now();//在页面加载完下一篇文章,记录起始时间
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}
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function load_pre_article(){
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//在进入上一篇之前处理
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endTime=Date.now();//记录用户点击上一篇文章时的时间
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spendtime=endTime-startTime;//计算出用户浏览该文章的时长,单位毫秒
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if(spendtime/1000>15){
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if(!checkMarkedWords()){
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$.ajax({
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url: '/submit_article_id_without_new_words/{{username}}/'+sessionStorage.getItem('article_id')+'/'+sessionStorage.getItem('text_level'),
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dataType: 'json',
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success: function(data) {}
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});
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}
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}
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$.ajax({
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url: '/get_pre_article/{{username}}',
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dataType: 'json',
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@ -248,6 +279,7 @@
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}
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}
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});
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startTime=Date.now();//在页面加载完下一篇文章,记录起始时间
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}
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function update(today_article){
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$('#user_level').html(today_article['user_level']);
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@ -262,6 +294,27 @@
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setTimeout(() => {document.querySelector('#text_level').classList.remove('mark');}, 2000);
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document.querySelector('#user_level').classList.add('mark'); // do the same thing for user difficulty level
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setTimeout(() => {document.querySelector('#user_level').classList.remove('mark');}, 2000);
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sessionStorage.setItem('article_id',today_article["article_id"]);//将更新后的文章id,level保存到本地
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sessionStorage.setItem('text_level',today_article['text_level']);
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}
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function checkMarkedWords(){//检查文章中是否有高亮生词
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let article_title= document.getElementById("article_title").innerHTML;//从页面中获取文章名和内容
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let article_body=document.getElementById("article").innerHTML;
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let article=article_title+" "+article_body;
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let pickedWords = document.getElementById("selected-words"); // words picked to the text area
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let dictionaryWords = document.getElementById("selected-words2"); // words appearing in the user's new words list
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let allWords = dictionaryWords === null ? pickedWords.value + " " : pickedWords.value + " " + dictionaryWords.value;
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const list = allWords.split(" "); // 将所有的生词放入一个list中
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for (let i = 0; i < list.length; ++i) {
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list[i] = list[i].replace(/(^\W*)|(\W*$)/g, "");
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}
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for (let i=1;i<list.length-1;i++){//对list中的每个生词进行查找,判断文章中是否有该生词
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if(article.search(list[i])!==-1){
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return true;
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}
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}
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return false;
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}
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<!-- 检查是否存在上一篇或下一篇,不存在则对应按钮隐藏-->
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function check_pre(visited_articles){
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@ -0,0 +1,119 @@
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import time
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import pytest
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.common.exceptions import UnexpectedAlertPresentException, NoAlertPresentException, \
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ElementClickInterceptedException, NoSuchElementException, TimeoutException
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from helper import signup
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def is_textarea_empty(driver):
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# 获取<textarea>元素的内容,判断是否加入了生词
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textarea_element = driver.find_element(By.ID, 'selected-words')
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content = textarea_element.get_attribute("value")
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return content is None or content.strip() == ""
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def get_user_level(driver):
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return float(driver.find_element(By.ID, 'user_level').text)
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def scroll(total_time, driver):
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try:
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half_time = (total_time - 2) / 2 # 分成两半,一半时间滚到底,一半时间滚回顶,模拟阅读时间
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# 滚动到底部
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start_time = time.time()
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end_time = start_time + half_time
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while time.time() < end_time:
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driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
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# 确保滚动更平滑
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time.sleep(1)
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# 滚动回顶部
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start_time = time.time()
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end_time = start_time + half_time
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while time.time() < end_time:
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driver.execute_script("window.scrollTo(0, -document.body.scrollHeight);")
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time.sleep(1)
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except ElementClickInterceptedException:
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print("加载出错")
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def read_test_with_time(driver, total_time):
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# 获取点击前的user_level和text_level
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before_user_level = get_user_level(driver)
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before_text_level = float(driver.find_element(By.ID, 'text_level').text)
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# 检查是否加入了生词簿
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check = is_textarea_empty(driver)
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scroll(total_time, driver)
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# 定位“下一页”按钮
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next_button = driver.find_element(By.ID, 'load_next_article')
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# 模拟点击
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next_button.click()
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# 关闭弹窗
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try:
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WebDriverWait(driver, 1).until(EC.alert_is_present())
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driver.switch_to.alert.accept()
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except (UnexpectedAlertPresentException, NoAlertPresentException):
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pass
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# 等待页面加载完毕,正确地获取更新后的值
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time.sleep(2)
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# 获取点击后的user_level
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after_user_level = get_user_level(driver)
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# 等待3秒方便观察测试
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time.sleep(3)
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return before_user_level, after_user_level, before_text_level, check
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def test_score_with_enough_time(driver, URL):
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try:
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# 登录并跳转到测试主页面
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signup(URL, driver)
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# 测试阅读到足够时间的等级变化
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before_user_level, after_user_level, before_text_level, check = read_test_with_time(driver, 18)
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# print(check, before_user_level, after_user_level, before_text_level)
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if before_user_level < before_text_level and check:
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assert before_user_level < after_user_level, 'The user level dose not increase after reading an article with a high level and clicking to navigate away without adding any new vocabulary. '
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except (NoSuchElementException, TimeoutException) as e:
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print("Error occurs: " + str(e))
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finally:
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driver.quit()
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def test_score_without_enough_time(driver, URL):
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try:
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# 登录并跳转到测试主页面
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signup(URL, driver)
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# 测试阅读时间不足够的等级变化
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before_user_level, after_user_level, before_text_level, check = read_test_with_time(driver, 6)
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# print(check, before_user_level, after_user_level, before_text_level)
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if before_user_level < before_text_level and check:
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assert before_user_level == after_user_level, 'After the user quickly skipped through the article, the user level does not remain unchanged. '
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except (NoSuchElementException, TimeoutException) as e:
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print("Error occurs: " + str(e))
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finally:
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driver.quit()
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if __name__ == '__main__':
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pytest.main(["--html=report.html"])
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@ -1,3 +1,5 @@
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import pickle
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import os.path
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from datetime import datetime
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from admin_service import ADMIN_NAME
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from flask import *
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@ -26,6 +28,8 @@ path_prefix = './' # comment this line in deployment
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@userService.route("/get_next_article/<username>",methods=['GET','POST'])
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def get_next_article(username):
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user_articlesWithoutNewWords_record = path_prefix + 'static/frequency/' + 'ArticlesWithoutNewWords_%s.pickle' % (username)
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user_freq_record = path_prefix + 'static/frequency/' + 'frequency_%s.pickle' % (username)
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session['old_articleID'] = session.get('articleID')
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if request.method == 'GET':
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@ -36,7 +40,7 @@ def get_next_article(username):
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visited_articles["index"] += 1
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session["visited_articles"] = visited_articles
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logging.debug('/get_next_article: start calling get_today_arcile()')
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visited_articles, today_article, result_of_generate_article = get_today_article(user_freq_record, session.get('visited_articles'))
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visited_articles, today_article, result_of_generate_article = get_today_article(user_freq_record, session.get('visited_articles'),user_articlesWithoutNewWords_record)
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logging.debug('/get_next_arcile: done.')
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data = {
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'visited_articles': visited_articles,
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@ -47,8 +51,37 @@ def get_next_article(username):
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return 'Under construction'
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return json.dumps(data)
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#保存前端传来 用户阅读时长超过15秒且不含高亮生词的文章(用户阅读完后没有添加生词的文章)的id,level
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@userService.route("/submit_article_id_without_new_words/<username>/<article_id>/<text_level>",methods=['GET'])
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def set_article_id_without_new_words(username,article_id,text_level):
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user_articles_without_new_words_record_path = path_prefix + 'static/frequency/' + 'ArticlesWithoutNewWords_%s.pickle' % (username)
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if os.path.exists(user_articles_without_new_words_record_path)==False: #若不存在 存储用户阅读时长超过15秒且不含高亮生词的文章索引信息的文件 则新建
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f = open(user_articles_without_new_words_record_path, 'wb')
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list=[]
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pickle.dump(list,f)
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f.close()
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fp=open(user_articles_without_new_words_record_path,'rb')
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user_article_id_record=pickle.load(fp)
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fp.close()
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dic = {}
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dic['article_id'] = article_id
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dic['text_level'] = text_level
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if dic not in user_article_id_record: #若已存在记录(即这篇文章之前被阅读过且没有添加生词,且已加入索引信息记录文件中),则不再重复加入,避免重复刷分
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user_article_id_record.append(dic)
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print(f"编号为{article_id}的文章,阅读时间大于15秒且未有生词,记录于ArticlesWithoutNewWords_<username>.pickle")
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print(user_article_id_record)
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f=open(user_articles_without_new_words_record_path,'wb')
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pickle.dump(user_article_id_record,f)
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f.close()
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return "success"
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@userService.route("/get_pre_article/<username>",methods=['GET'])
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def get_pre_article(username):
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user_articlesWithoutNewWords_record = path_prefix + 'static/frequency/' + 'ArticlesWithoutNewWords_%s.pickle' % (
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username)
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user_freq_record = path_prefix + 'static/frequency/' + 'frequency_%s.pickle' % (username)
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if request.method == 'GET':
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visited_articles = session.get("visited_articles")
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@ -59,7 +92,7 @@ def get_pre_article(username):
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if visited_articles['article_ids'][-1] == "null": # 如果当前还是“null”,则将“null”pop出来
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visited_articles['article_ids'].pop()
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session["visited_articles"] = visited_articles
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visited_articles, today_article, result_of_generate_article = get_today_article(user_freq_record, session.get('visited_articles'))
|
||||
visited_articles, today_article, result_of_generate_article = get_today_article(user_freq_record, session.get('visited_articles'),user_articlesWithoutNewWords_record)
|
||||
data = {
|
||||
'visited_articles': visited_articles,
|
||||
'today_article': today_article,
|
||||
|
@ -130,7 +163,8 @@ def userpage(username):
|
|||
|
||||
# 获取session里的用户名
|
||||
username = session.get('username')
|
||||
|
||||
user_articlesWithoutNewWords_record = path_prefix + 'static/frequency/' + 'ArticlesWithoutNewWords_%s.pickle' % (
|
||||
username)
|
||||
user_freq_record = path_prefix + 'static/frequency/' + 'frequency_%s.pickle' % (username)
|
||||
|
||||
if request.method == 'POST': # when we submit a form
|
||||
|
@ -149,7 +183,7 @@ def userpage(username):
|
|||
words = ''
|
||||
for x in lst3:
|
||||
words += x[0] + ' '
|
||||
visited_articles, today_article, result_of_generate_article = get_today_article(user_freq_record, session.get('visited_articles'))
|
||||
visited_articles, today_article, result_of_generate_article = get_today_article(user_freq_record, session.get('visited_articles'),user_articlesWithoutNewWords_record)
|
||||
session['visited_articles'] = visited_articles
|
||||
# 通过 today_article,加载前端的显示页面
|
||||
return render_template('userpage_get.html',
|
||||
|
|
Loading…
Reference in New Issue