init commit

main.py

@@ -0,0 +1,52 @@
+#!/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)