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, articleID):
    rq = RecordQuery(path_prefix + 'static/wordfreqapp.db')
    if articleID == None:
        rq.instructions("SELECT * FROM article")
    else:
        rq.instructions('SELECT * FROM article WHERE article_id=%d' % (articleID))
    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 = {}
    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.
    random.shuffle(result)  # shuffle list
    d = random.choice(result)
    text_level = text_difficulty_level(d['text'], d3)
    if articleID == None:
        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 within_range(text_level, user_level, (8.0 - user_level) * factor):
                d = reading
                break
            
    article_date = d['date']
    article_title = get_article_title(d['text'])
    article_body = get_article_body(d['text'])
    question_part = get_question_part(d['question'])
    answer_part = get_answer_part(d['question'])
    return user_level,text_level,article_date,article_title,article_body,question_part,answer_part



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 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)
    # https://css-tricks.com/snippets/javascript/showhide-element/
    return result