School Commit Init

2024-08-31 12:07:21 +03:00
commit 0b130ee18c
2801 changed files with 4720552 additions and 0 deletions
@@ -0,0 +1,63 @@
+
+from time import sleep
+import selenium
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+
+url = 'https://gwent.one/en/cards/?type=30&v=11.10.5'
+
+driver = webdriver.Chrome()
+driver.get(url)
+sleep(1)
+# Get all the cards
+cards=[]
+cards_ids=[]
+new_cards = driver.find_elements(By.XPATH, "//div[contains(@class,'card-data')]")
+i=1
+while len(new_cards) > 0:
+    i+=1
+    cards += new_cards
+    cards_ids += [card.get_attribute("data-id") for card in new_cards]
+    driver.execute_script(f"ajaxSearch({i})")
+    sleep(3)
+    new_cards = driver.find_elements(By.XPATH, "//div[contains(@class,'card-data')]")
+    
+
+processed_cards = []
+for id in cards_ids:
+    driver.get(f'https://gwent.one/en/card/{id}')
+    sleep(0.1)
+
+    card_data = driver.find_elements(By.XPATH, "//div[contains(@class,'card-data')]")
+    card_data = card_data[0]
+    name = card_data.find_element(By.XPATH, "//div[contains(@class,'card-name')]").text
+    faction = card_data.get_attribute("data-faction")
+    description = card_data.find_element(By.XPATH, "//div[contains(@class,'card-body-flavor')]").text
+    action = card_data.find_element(By.XPATH, "//div[contains(@class,'card-body-ability')]").text
+    image = card_data.find_element(By.XPATH, "//div[contains(@class,'card_asset-img')]/img").get_attribute("src")
+    provision = card_data.get_attribute("data-provision")
+    power = card_data.get_attribute("data-power")
+    color = card_data.get_attribute("data-color")
+    type = card_data.get_attribute("data-type")
+    cardSet = card_data.get_attribute("data-set")
+    processed_cards.append({
+        "name": name,
+        "faction": faction,
+        "description": description,
+        "action": action,
+        "image": image,
+        "provision": provision,
+        "power": power,
+        "color": color,
+        "type": type,
+        "cardSet": cardSet
+    })
+
+print(len(processed_cards))
+
+# Save to file to an Excel file
+import pandas as pd
+df = pd.DataFrame(processed_cards)
+df.to_excel('cards.xlsx', index=False)
+
+driver.close()