From 8f132ed87bfc00e321214dd4a4d6ed2a3ff4a8cd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E4=B8=80=E9=97=AE=E4=B8=89=E4=B8=8D=E7=9F=A5?= <178428409@qq.com> Date: Thu, 20 Apr 2023 22:53:30 +0800 Subject: [PATCH] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=E4=BA=86=E9=98=85=E8=AF=BB?= =?UTF-8?q?=E5=AE=8C=E6=89=80=E6=9C=89=E6=96=87=E7=AB=A0=E7=9A=84=E6=8F=90?= =?UTF-8?q?=E7=A4=BA?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app/Article.py | 42 ++++++++++++++++++++------------- app/templates/userpage_get.html | 6 ++++- app/user_service.py | 3 ++- 3 files changed, 33 insertions(+), 18 deletions(-) diff --git a/app/Article.py b/app/Article.py index b4df54c..bfef595 100644 --- a/app/Article.py +++ b/app/Article.py @@ -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): diff --git a/app/templates/userpage_get.html b/app/templates/userpage_get.html index 6264ef0..e2cb9d4 100644 --- a/app/templates/userpage_get.html +++ b/app/templates/userpage_get.html @@ -71,10 +71,14 @@
Notes:
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.
Notes:
You've read all the articles.