#!/usr/bin/env python3

import requests
from bs4 import BeautifulSoup

PAGE_URL = "https://technical.city/ru/cpu/best-price-to-performance"

SORT_FIELD_PRICE = "price"
SORT_FIELD_QUALITY = "performance"

SORT_ORDER_DES = "down"
SORT_ORDER_ASC = "up"

USD_PRICE = 81.37

def request_page(page_num=1, sort_field=SORT_FIELD_PRICE, sort_order=SORT_ORDER_ASC):
    resp = requests.get(PAGE_URL, params={
        "pg": page_num,
        "sort_field": sort_field,
        "sort_order": sort_order
    })

    page = BeautifulSoup(resp.text, features="lxml")
    
    for i in page.find_all("tr"):
        tds = [ x.text.strip() for x in i.find_all("td") ]

        if len(tds) < 7:
            continue

        name = tds[1]
        price = float(tds[4].replace("USD", "").strip()) * USD_PRICE
        quality = float(tds[5])
        cores = tds[6].split("/")[0].strip()
        threads = tds[6].split("/")[1].strip()
        
        manufacturer = i.find("img", {"class": "item_photo"})["alt"].split()[0]

        yield [ manufacturer, name, price, quality, cores, threads ]

cpus = []

for i in range(1, 50):
    print("Fetching page", i, "...", end="\r")
    cpus += list(request_page(i))

print("fetched all                   ", end="\r")

cpus.sort(key=lambda x: x[2] / x[3])

for i in cpus:
    print(*i)