from WordFreq import WordFreq from difficulty import WordDifficultyEvaluator from wordfreqCMD import youdao_link, sort_in_descending_order 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 model.article import get_all_articles, get_article_by_id, get_number_of_articles import logging import re path_prefix = './' db_path_prefix = './db/' # 部署时请注释掉此行 oxford_words_path = './db/oxford_words.txt' def count_oxford_words(text, oxford_words): words = re.findall(r'\b\w+\b', text.lower()) total_words = len(words) oxford_word_count = sum(1 for word in words if word in oxford_words) return oxford_word_count, total_words def calculate_ratio(oxford_word_count, total_words): if total_words == 0: return 0 return oxford_word_count / total_words def load_oxford_words(file_path): oxford_words = {} with open(file_path, 'r', encoding='utf-8') as file: for line in file: parts = line.strip().split() word = parts[0] pos = parts[1] level = parts[2] oxford_words[word] = {'pos': pos, 'level': level} return oxford_words def total_number_of_essays(): return get_number_of_articles() def get_article_title(s): return s.split('\n')[0] def get_article_body(s): lst = s.split('\n') lst.pop(0) # 移除第一行标题 return '\n'.join(lst) def get_today_article(user_word_list, visited_articles): if visited_articles is None: visited_articles = { "index": 0, # 文章索引 "article_ids": [] # 已显示文章的id列表,越后越新 } if visited_articles["index"] > len(visited_articles["article_ids"]) - 1: # 获取新的文章 result = get_all_articles() else: # 获取已阅读过的文章 if visited_articles["article_ids"][visited_articles["index"]] == 'null': # 如果刷新页面导致查询了'null' visited_articles["index"] -= 1 visited_articles["article_ids"].pop() article_id = visited_articles["article_ids"][visited_articles["index"]] result = get_article_by_id(article_id) random.shuffle(result) # 根据读者的水平选择文章 logging.debug('* get_today_article(): 开始加载用户词汇表 d1...') d1 = load_freq_history(user_word_list) d2 = load_freq_history(path_prefix + 'static/words_and_tests.p') logging.debug(' ... get_today_article(): 调用 get_difficulty_level_for_user() 开始') wordDifficultyEvaluator = WordDifficultyEvaluator() d3 = wordDifficultyEvaluator.get_difficulty_level_for_user(d1, d2) logging.debug(' ... get_today_article(): 完成') d = None result_of_generate_article = "not found" d_user = load_freq_history(user_word_list) logging.debug('* get_today_article(): 调用 user_difficulty_level() 开始') user_level = wordDifficultyEvaluator.user_difficulty_level(d_user, d3) # 用户行为是动态的,考虑时间因素 logging.debug('* get_today_article(): 完成') 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) if amount_of_visited_articles == amount_of_existing_articles: # 所有文章都已读过 result_of_generate_article = "had read all articles" else: for _ in range(3): # 尝试最多3次 for reading in result: text_level = wordDifficultyEvaluator.text_difficulty_level(reading['text'], d3) factor = random.gauss(0.8, 0.1) # 从均值为0.8,标准差为0.1的高斯分布中抽取一个数 if reading['article_id'] not in visited_articles["article_ids"] and within_range(text_level, user_level, ( 8.0 - user_level) * factor): # 新文章且符合难度范围 d = reading visited_articles["article_ids"].append(d['article_id']) # 添加新文章ID到列表 result_of_generate_article = "found" break if result_of_generate_article == "found": # 成功找到文章后退出循环 break if result_of_generate_article != "found": # 没有找到适合的文章,则添加空(“null”) visited_articles["article_ids"].append('null') else: # 生成已经阅读过的文章 d = random.choice(result) text_level = wordDifficultyEvaluator.text_difficulty_level(d['text'], d3) result_of_generate_article = "found" today_article = None if d: oxford_words = load_oxford_words(oxford_words_path) oxford_word_count, total_words = count_oxford_words(d['text'], oxford_words) ratio = calculate_ratio(oxford_word_count, total_words) today_article = { "user_level": '%4.1f' % user_level, "text_level": '%4.1f' % 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']), "ratio": ratio } return visited_articles, today_article, result_of_generate_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): result = [] flag = False for line in s.split('\n'): line = line.strip() if line == 'QUESTION': result.append(line) flag = True elif line == 'ANSWER': flag = False elif flag: result.append(line) return '\n'.join(result) def get_answer_part(s): result = [] flag = False for line in s.split('\n'): line = line.strip() if line == 'ANSWER': flag = True elif flag: result.append(line) return '\n'.join(result)