forked from mrlan/EnglishPal
127 lines
4.1 KiB
Python
127 lines
4.1 KiB
Python
from WordFreq import WordFreq
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from wordfreqCMD import youdao_link, sort_in_descending_order
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from UseSqlite import InsertQuery, RecordQuery
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import pickle_idea, pickle_idea2
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import os
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import random, glob
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import hashlib
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from datetime import datetime
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from flask import Flask, request, redirect, render_template, url_for, session, abort, flash, get_flashed_messages
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from difficulty import get_difficulty_level, text_difficulty_level, user_difficulty_level
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path_prefix = '/var/www/wordfreq/wordfreq/'
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path_prefix = './' # comment this line in deployment
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def total_number_of_essays():
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rq = RecordQuery(path_prefix + 'static/wordfreqapp.db')
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rq.instructions("SELECT * FROM article")
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rq.do()
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result = rq.get_results()
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return len(result)
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def get_article_title(s):
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return s.split('\n')[0]
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def get_article_body(s):
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lst = s.split('\n')
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lst.pop(0) # remove the first line
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return '\n'.join(lst)
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def get_today_article(user_word_list, existing_articles):
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rq = RecordQuery(path_prefix + 'static/wordfreqapp.db')
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if existing_articles is None:
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existing_articles = [0, []] # existing_articles[0]：为existing_articles[1]的索引；existing_articles[1]:之前显示文章的id列表，越后越新
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if existing_articles[0] > len(existing_articles[1])-1:
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rq.instructions("SELECT * FROM article")
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else:
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rq.instructions('SELECT * FROM article WHERE article_id=%d' % (existing_articles[1][existing_articles[0]]))
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rq.do()
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result = rq.get_results()
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random.shuffle(result)
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# Choose article according to reader's level
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d1 = load_freq_history(path_prefix + 'static/frequency/frequency.p')
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d2 = load_freq_history(path_prefix + 'static/words_and_tests.p')
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d3 = get_difficulty_level(d1, d2)
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d = {}
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d_user = load_freq_history(user_word_list)
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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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text_level = 0
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flag = False
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if existing_articles[0] > len(existing_articles[1])-1: # 下一篇
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for reading in result:
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text_level = text_difficulty_level(reading['text'], d3)
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factor = random.gauss(0.8,
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0.1) # a number drawn from Gaussian distribution with a mean of 0.8 and a stand deviation of 1
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if reading['article_id'] not in existing_articles[1] 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
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d = reading
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existing_articles[1].append(d['article_id']) # 列表添加新的文章id；下面进行
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flag = True
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break
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else: # 上一篇
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d = random.choice(result)
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text_level = text_difficulty_level(d['text'], d3)
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flag = True
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today_article = None
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if flag:
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today_article = {
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"user_level": '%4.2f' % user_level,
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"text_level": '%4.2f' % text_level,
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"date": d['date'],
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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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"question": get_question_part(d['question']),
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"answer": get_answer_part(d['question'])
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}
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else:
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existing_articles[0] -= 1
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return existing_articles, today_article
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def load_freq_history(path):
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d = {}
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if os.path.exists(path):
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d = pickle_idea.load_record(path)
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return d
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def within_range(x, y, r):
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return x > y and abs(x - y) <= r
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def get_question_part(s):
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s = s.strip()
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result = []
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flag = 0
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for line in s.split('\n'):
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line = line.strip()
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if line == 'QUESTION':
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result.append(line)
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flag = 1
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elif line == 'ANSWER':
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flag = 0
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elif flag == 1:
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result.append(line)
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return '\n'.join(result)
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def get_answer_part(s):
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s = s.strip()
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result = []
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flag = 0
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for line in s.split('\n'):
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line = line.strip()
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if line == 'ANSWER':
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flag = 1
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elif flag == 1:
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result.append(line)
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return '\n'.join(result) |