0
0
Fork 0
EnglishPal/app/Article.py

168 lines
5.7 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

import os
import random
import pickle_idea
from difficulty import get_difficulty_level_for_user, text_difficulty_level, user_difficulty_level
from UseSqlite import RecordQuery
path_prefix = '/var/www/wordfreq/wordfreq/'
path_prefix = './' # comment this line in deployment
def total_number_of_essays():
'''
得到文章总数
return:文章数目
'''
rq = RecordQuery(path_prefix + 'static/wordfreqapp.db')
rq.instructions("SELECT * FROM article")
rq.do()
result = rq.get_results()
return len(result)
def get_article_title(s):
'''
得到文章的标题
'''
return s.split('\n')[0]
def get_article_body(s):
'''
得到文章的内容
'''
lst = s.split('\n')
lst.pop(0) # remove the first line
return '\n'.join(lst)
def get_today_article(user_word_list, visited_articles):
'''
根据用户的单词列表和阅读过的文章返回需要的文章的全部信息
'''
rq = RecordQuery(path_prefix + 'static/wordfreqapp.db')
if visited_articles is None:
visited_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 visited_articles["index"] > len(visited_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: # 生成阅读过的文章,因此查询指定 article_id 的文章
# 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
if visited_articles["article_ids"][visited_articles["index"]] == 'null':
visited_articles["index"] -= 1
visited_articles["article_ids"].pop()
rq.instructions(
f'SELECT * FROM article WHERE article_id='
f'{visited_articles["article_ids"][visited_articles["index"]]}'
)
rq.do()
result = rq.get_results()
random.shuffle(result)
# Choose article according to reader's level
d1 = load_freq_history(path_prefix + 'static/frequency/frequency.p')
d2 = load_freq_history(path_prefix + 'static/words_and_tests.p')
d3 = get_difficulty_level_for_user(d1, d2)
d = None
result_of_generate_article = "not found"
d_user = load_freq_history(user_word_list)
# 更多的考虑,因为用户的行为是动态的。应考虑时间因素。
user_level = user_difficulty_level(d_user, d3)
text_level = 0
if visited_articles["index"] > len(visited_articles["article_ids"])-1: # 生成新的文章
amount_of_visited_articles = len(visited_articles["article_ids"])
amount_of_existing_articles = len(result)
# 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
if amount_of_visited_articles == amount_of_existing_articles:
result_of_generate_article = "had read all articles"
else:
for k in range(3): # 最多尝试3次
for reading in result:
text_level = text_difficulty_level(reading['text'], d3)
# 从高斯分布中得出的平均值为 0.8,站位偏差为 1 的数字
factor = random.gauss(0.8, 0.1)
# 新的文章之前没有出现过且符合一定范围的水平
if reading['article_id'] not in visited_articles["article_ids"] and within_range(text_level, user_level, (8.0 - user_level) * factor):
d = reading
visited_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
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放入空“null”
visited_articles["article_ids"].append('null')
else: # 生成已经阅读过的文章
d = random.choice(result)
text_level = text_difficulty_level(d['text'], d3)
result_of_generate_article = "found"
today_article = None
if d:
today_article = {
"user_level": f'{user_level:4.2f}',
"text_level": f'{text_level:4.2f}',
"date": d['date'],
"article_title": get_article_title(d['text']),
"article_body": get_article_body(d['text']),
"source": d["source"],
"question": get_question_part(d['question']),
"answer": get_answer_part(d['question'])
}
return visited_articles, today_article, result_of_generate_article
def load_freq_history(path):
'''
加载历史路径
'''
d = {}
if os.path.exists(path):
d = pickle_idea.load_record(path)
return d
def within_range(x, y, r):
'''
判断x>y并且x-y<=r
'''
return x > y and abs(x - y) <= r
def get_question_part(s):
'''
得到问题部分
'''
s = s.strip()
result = []
flag = 0
for line in s.split('\n'):
line = line.strip()
if line == 'QUESTION':
result.append(line)
flag = 1
elif line == 'ANSWER':
flag = 0
elif flag == 1:
result.append(line)
return '\n'.join(result)
def get_answer_part(s):
'''
得到答案部分
'''
s = s.strip()
result = []
flag = 0
for line in s.split('\n'):
line = line.strip()
if line == 'ANSWER':
flag = 1
elif flag == 1:
result.append(line)
return '\n'.join(result)