# We need a scraper that saves and parses the information on a webpage.
# Once the information is processed and stored, we need sent it to Firebase
# We need to save: Prd. Title, Prd. Desc, Prd. Image, Prd. Link.
# Ownership Bogdan
import time
from lxml import html
from urllib.parse import urlsplit
import requests
from core.notifycore import notification_display


def extract_domain(link):
    return "{0.scheme}://{0.netloc}/".format(urlsplit(link))

global product_dictionary

def scraper():
    """
    This function takes a link to a website and scrapes it.
    The data fond on the website is stored in lists and a dictionary is
    returned which contains the lists.
    :param link:
    :return: dictionary that holds 4 lists
    """
    link = "http://192.168.119.171/products.html"
    page = requests.get(link)
    tree = html.fromstring(page.content)

    prd_names = tree.xpath('//div[@class="prdName"]/text()')
    prd_descriptions = tree.xpath('//div[@class="prdDescription"]/text()')
    prd_images = tree.xpath('//img[@name="prdImage"]/@src')

    base_domain = extract_domain(link)

    for i in range(len(prd_images)):
        prd_images[i] = prd_images[i][2:]
        prd_images[i] = base_domain + prd_images[i]

    product_dictionary = {0: prd_names,
                          1: prd_descriptions,
                          2: prd_images
                          }

    for i in range(len(product_dictionary) +1 ):
        notification_display("AkhNotify", product_dictionary[0][i], product_dictionary[1][i], "./img/default.png")
        time.sleep(5)

# Use the code on the next line to test the scraper

def activate_scraper():
    while True:
        scraper()
        time.sleep(10)

print(scraper())