forked from mrlan/EnglishPal
				
			添加了阅读完所有文章的提示
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				|  | @ -39,9 +39,9 @@ def get_today_article(user_word_list, had_read_articles): | |||
|             "index" : 0,  # 为 article_ids 的索引 | ||||
|             "article_ids": []  # 之前显示文章的id列表,越后越新 | ||||
|         } | ||||
|     if had_read_articles["index"] > len(had_read_articles["article_ids"])-1: | ||||
|     if had_read_articles["index"] > len(had_read_articles["article_ids"])-1:  # 生成新的文章,因此查找所有的文章 | ||||
|         rq.instructions("SELECT * FROM article") | ||||
|     else: | ||||
|     else:  # 生成阅读过的文章,因此查询指定 article_id 的文章 | ||||
|         rq.instructions('SELECT * FROM article WHERE article_id=%d' % (had_read_articles["article_ids"][had_read_articles["index"]])) | ||||
|     rq.do() | ||||
|     result = rq.get_results() | ||||
|  | @ -53,23 +53,33 @@ def get_today_article(user_word_list, had_read_articles): | |||
|     d3 = get_difficulty_level(d1, d2) | ||||
| 
 | ||||
|     d = None | ||||
|     result_of_generate_article = "not found" | ||||
|     d_user = load_freq_history(user_word_list) | ||||
|     user_level = user_difficulty_level(d_user, d3)  # more consideration as user's behaviour is dynamic. Time factor should be considered. | ||||
|     text_level = 0 | ||||
|     if had_read_articles["index"] > len(had_read_articles["article_ids"])-1:  # 下一篇 | ||||
|         flag_get_article = False | ||||
|         for reading in result: | ||||
|             text_level = text_difficulty_level(reading['text'], d3) | ||||
|             factor = random.gauss(0.8, | ||||
|                                   0.1)  # a number drawn from Gaussian distribution with a mean of 0.8 and a stand deviation of 1 | ||||
|             if reading['article_id'] not in had_read_articles["article_ids"] and within_range(text_level, user_level, (8.0 - user_level) * factor):  # 新的文章之前没有出现过且符合一定范围的水平 | ||||
|                 d = reading | ||||
|                 had_read_articles["article_ids"].append(d['article_id'])  # 列表添加新的文章id;下面进行 | ||||
|                 flag_get_article = True | ||||
|                 break | ||||
|         if not flag_get_article: | ||||
|     if had_read_articles["index"] > len(had_read_articles["article_ids"])-1:  # 生成新的文章 | ||||
|         amount_of_had_read_articles = len(had_read_articles["article_ids"]) | ||||
|         amount_of_existing_articles = result.__len__() | ||||
|         if amount_of_had_read_articles == amount_of_existing_articles:  # 如果当前阅读过的文章的数量 == 存在的文章的数量,即所有的书本都阅读过了 | ||||
|             result_of_generate_article = "had read all articles" | ||||
|         else: | ||||
|             test_count = 0 | ||||
|             for k in range(3):  # 最多尝试3次 | ||||
|                 test_count += 1 | ||||
|                 for reading in result: | ||||
|                     text_level = text_difficulty_level(reading['text'], d3) | ||||
|                     factor = random.gauss(0.8, 0.1)  # a number drawn from Gaussian distribution with a mean of 0.8 and a stand deviation of 1 | ||||
|                     if reading['article_id'] not in had_read_articles["article_ids"] and within_range(text_level, user_level, (8.0 - user_level) * factor):  # 新的文章之前没有出现过且符合一定范围的水平 | ||||
|                         d = reading | ||||
|                         had_read_articles["article_ids"].append(d['article_id'])  # 列表添加新的文章id;下面进行 | ||||
|                         result_of_generate_article = "found" | ||||
|                         break | ||||
|                 if result_of_generate_article == "found":  # 用于成功找到文章后及时退出外层循环 | ||||
|                     break | ||||
|             print(test_count) | ||||
|         if result_of_generate_article != "found":  # 阅读完所有文章,或者循环3次没有找到适合的文章,则对 index+=1 进行回滚 | ||||
|             had_read_articles["index"] -= 1 | ||||
|     else:  # 上一篇 | ||||
|     else:  # 生成已经阅读过的文章 | ||||
|         d = random.choice(result) | ||||
|         text_level = text_difficulty_level(d['text'], d3) | ||||
| 
 | ||||
|  | @ -86,7 +96,7 @@ def get_today_article(user_word_list, had_read_articles): | |||
|             "answer": get_answer_part(d['question']) | ||||
|         } | ||||
| 
 | ||||
|     return had_read_articles, today_article | ||||
|     return had_read_articles, today_article, result_of_generate_article | ||||
| 
 | ||||
| 
 | ||||
| def load_freq_history(path): | ||||
|  |  | |||
|  | @ -71,10 +71,14 @@ | |||
|                 <button onclick="toggle_visibility('answer');">ANSWER</button> | ||||
|                 <div id="answer" style="display:none;">{{ today_article['answer'] }}</div><br/> | ||||
|             </div> | ||||
|         {% else %} | ||||
|         {% elif result_of_generate_article == "not found" %} | ||||
|             <div class="alert alert-success" role="alert"> | ||||
|                 <p class="text-muted"><span class="badge bg-success">Notes:</span><br>No article is currently available for you. You can try again a few times or mark new words in the passage to improve your level.</p> | ||||
|             </div> | ||||
|         {% elif result_of_generate_article == "had read all articles" %} | ||||
|             <div class="alert alert-success" role="alert"> | ||||
|                 <p class="text-muted"><span class="badge bg-success">Notes:</span><br>You've read all the articles.</p> | ||||
|             </div> | ||||
|         {% endif %} | ||||
|     </div> | ||||
| 
 | ||||
|  |  | |||
|  | @ -135,7 +135,7 @@ def userpage(username): | |||
|         words = '' | ||||
|         for x in lst3: | ||||
|             words += x[0] + ' ' | ||||
|         had_read_articles, today_article = get_today_article(user_freq_record, session.get('had_read_articles')) | ||||
|         had_read_articles, today_article, result_of_generate_article = get_today_article(user_freq_record, session.get('had_read_articles')) | ||||
|         session['had_read_articles'] = had_read_articles | ||||
|         if today_article is None: | ||||
|             session["found_article"] = False | ||||
|  | @ -147,6 +147,7 @@ def userpage(username): | |||
|                                session=session, | ||||
|                                # flashed_messages=get_flashed_messages(), 仅有删除单词的时候使用到flash,而删除单词是异步执行,这里的信息提示是同步执行,所以就没有存在的必要了 | ||||
|                                today_article=today_article, | ||||
|                                result_of_generate_article=result_of_generate_article, | ||||
|                                d_len=len(d), | ||||
|                                lst3=lst3, | ||||
|                                yml=Yaml.yml, | ||||
|  |  | |||
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