forked from mrlan/EnglishPal
130 lines
4.3 KiB
Python
130 lines
4.3 KiB
Python
from WordFreq import WordFreq
|
||
from wordfreqCMD import youdao_link, sort_in_descending_order
|
||
from UseSqlite import InsertQuery, RecordQuery
|
||
import pickle_idea, pickle_idea2
|
||
import os
|
||
import random, glob
|
||
import hashlib
|
||
from datetime import datetime
|
||
from flask import Flask, request, redirect, render_template, url_for, session, abort, flash, get_flashed_messages
|
||
from difficulty import get_difficulty_level, text_difficulty_level, user_difficulty_level
|
||
|
||
|
||
path_prefix = '/var/www/wordfreq/wordfreq/'
|
||
path_prefix = './' # comment this line in deployment
|
||
|
||
|
||
def total_number_of_essays():
|
||
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):
|
||
return s.split('\n')[0]
|
||
|
||
|
||
def get_article_body(s):
|
||
lst = s.split('\n')
|
||
lst.pop(0) # remove the first line
|
||
return '\n'.join(lst)
|
||
|
||
|
||
def get_today_article(user_word_list, had_read_articles):
|
||
rq = RecordQuery(path_prefix + 'static/wordfreqapp.db')
|
||
if had_read_articles is None:
|
||
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:
|
||
rq.instructions("SELECT * FROM article")
|
||
else:
|
||
rq.instructions('SELECT * FROM article WHERE article_id=%d' % (had_read_articles["article_ids"][had_read_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(d1, d2)
|
||
|
||
d = None
|
||
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:
|
||
had_read_articles["index"] -= 1
|
||
else: # 上一篇
|
||
d = random.choice(result)
|
||
text_level = text_difficulty_level(d['text'], d3)
|
||
|
||
today_article = None
|
||
if d:
|
||
today_article = {
|
||
"user_level": '%4.2f' % user_level,
|
||
"text_level": '%4.2f' % text_level,
|
||
"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 had_read_articles, today_article
|
||
|
||
|
||
def load_freq_history(path):
|
||
d = {}
|
||
if os.path.exists(path):
|
||
d = pickle_idea.load_record(path)
|
||
return d
|
||
|
||
|
||
def within_range(x, y, r):
|
||
return x > y and abs(x - y) <= r
|
||
|
||
|
||
def get_question_part(s):
|
||
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):
|
||
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)
|