Refactor: raw SQL statements had been replaced with Pony ORM approach in Article.py (functions: total_number_of_essays and get_today_article)

app/Article.py

@@ -1,6 +1,5 @@
 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
@@ -8,6 +7,7 @@ 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
+from app.model import article
 
 
 path_prefix = '/var/www/wordfreq/wordfreq/'
@@ -15,11 +15,7 @@ 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)
+    return article.get_number_of_articles()
 
 
 def get_article_title(s):
@@ -33,22 +29,18 @@ def get_article_body(s):
 
 
 def get_today_article(user_word_list, visited_articles):
-    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")
+        result = article.get_all_articles()
     else:  # 生成阅读过的文章，因此查询指定 article_id 的文章
         if visited_articles["article_ids"][visited_articles["index"]] == 'null':  # 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
             visited_articles["index"] -= 1
             visited_articles["article_ids"].pop()
-        rq.instructions('SELECT * FROM article WHERE article_id=%d' % (visited_articles["article_ids"][visited_articles["index"]]))
-    rq.do()
-    result = rq.get_results()
-    random.shuffle(result)
+        result = article.get_article_by_id(visited_articles["article_ids"][visited_articles["index"]])
 
     # Choose article according to reader's level
     d1 = load_freq_history(path_prefix + 'static/frequency/frequency.p')