from itertools import groupby #used to hadle iterations
import sqlite3
from webbrowser import get
from flask import Flask, render_template, request, flash, redirect, url_for


# FUNCTIONS:

def get_db_connection():
    conn  = sqlite3.connect('database.db')
    conn.row_factory = sqlite3.Row
    return conn

# Added row_factory attribute to the slqite connection. In this way you can have name-based access to columns; this means that the database connection will return rows that behave like regular Python dictionaries.

# FLASK APP:

app = Flask(__name__)
app.config['SECRET KEY'] = 'this should be a secret random string'


@app.route('/')
def index():
    conn = get_db_connection()
    todos = conn.execute('SELECT i.content, l.title FROM items i JOIN lists l \
                          ON i.list_id = l.id ORDER BY l.title;').fetchall()

    lists = {}

    for k, g in groupby(todos, key=lambda t: t['title']):
        lists[k] = list(g)

    conn.close()
    return render_template('index.html', lists=lists)



@app.route('/create/', methods=('GET', 'POST'))
def create():
    conn = get_db_connection()

    if request.method == 'POST':
        content = request.form['content']
        list_title = request.form['list']

        if not content:
            flash('Content is required!')
            return redirect(url_for('index'))

        list_id = conn.execute('SELECT id FROM lists WHERE title = (?);',
                                 (list_title,)).fetchone()['id']
        conn.execute('INSERT INTO items (content, list_id) VALUES (?, ?)',
                     (content, list_id))
        conn.commit()
        conn.close()
        return redirect(url_for('index'))

    lists = conn.execute('SELECT title FROM lists;').fetchall()

    conn.close()
    return render_template('create.html', lists=lists)