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Artale data v1

artale_data_v1

Functions:

Name Description
parse_monster_card
fetch_monster_cards

console 

console = Console()

BASE_URL 

BASE_URL = 'https://a2983456456.github.io/artale-drop/'

parse_monster_card 

parse_monster_card(card: Tag) -> dict
Source code in scripts/artale_data_v1.py 
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def parse_monster_card(card: Tag) -> dict:
    name = card.select_one(".monster-name").text.strip()
    image = urljoin(BASE_URL, card.select_one(".monster-image")["src"])

    # 屬性轉 dict
    attr_boxes = card.select(".attr-box")
    attr_dict = {}
    for attr in attr_boxes:
        text = attr.text.strip().replace("：", ":")  # 中文冒號換成英文冒號方便 split
        if ":" in text:
            key, value = text.split(":", 1)
            key = key.strip()
            value = value.strip()

            # key 對應表（中文 -> 英文）
            key_map = {
                "等級": "level",
                "HP": "hp",
                "MP": "mp",
                "經驗": "exp",
                "迴避": "evasion",
                "物理防禦": "pdef",
                "魔法防禦": "mdef",
                "命中需求": "accuracy_required",
            }
            if key in key_map:
                key = key_map[key]
                # 嘗試轉為 int，如果失敗保留原文字
                with contextlib.suppress(Exception):
                    value = int(value)
                attr_dict[key] = value

    # 出沒地圖
    map_names = [m.text.strip() for m in card.select(".map-name")]

    # 掉落物
    drop_items = []
    item_blocks = card.select("div.item")

    for item in item_blocks:
        a = item.select_one("a")
        img_tag = item.select_one("img")
        span = item.select_one("span")

        if a and img_tag and span:
            link = a["href"]
            img = urljoin(BASE_URL, img_tag["src"])
            item_name = span.text.strip()

            if "/equip/" in link:
                category = "裝備"
            elif "/item/" in link:
                category = "消耗品/素材"
            else:
                category = "其他"

            drop_items.append({"name": item_name, "type": category, "link": link, "img": img})

    return {
        "name": name,
        "image": image,
        "attributes": attr_dict,
        "maps": map_names,
        "drops": drop_items,
    }

fetch_monster_cards 

fetch_monster_cards() -> list[dict[str, Any]]
Source code in scripts/artale_data_v1.py 
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def fetch_monster_cards() -> list[dict[str, Any]]:
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        page.goto(BASE_URL)

        # 等待初始內容加載
        page.wait_for_timeout(2000)

        # 滾動到頁面底部以加載所有內容
        console.print("🔄 開始滾動頁面加載所有怪物...")
        previous_count = 0
        retry_count = 0
        max_retries = 5

        while retry_count < max_retries:
            # 滾動到頁面底部
            page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
            page.wait_for_timeout(2000)  # 等待新內容加載

            # 檢查當前怪物卡片數量
            current_count = page.locator(".monster-card").count()
            console.print(f"📊 當前怪物數量: {current_count}")

            # 如果數量沒有變化，增加重試次數
            if current_count == previous_count:
                retry_count += 1
                console.print(f"⏳ 等待更多內容... (重試 {retry_count}/{max_retries})")
                page.wait_for_timeout(3000)  # 等待更長時間
            else:
                retry_count = 0  # 重置重試計數器
                previous_count = current_count

        html = page.content()
        soup = BeautifulSoup(html, "html.parser")
        monster_cards = soup.select(".monster-card")
        console.print(f"✅ 抓取完成，共抓到 {len(monster_cards)} 筆資料")
        browser.close()
        results = []
        for monster_card in monster_cards:
            parsed_card = parse_monster_card(monster_card)
            results.append(parsed_card)
        output_path = Path("./data/monsters.json")
        output_path.parent.mkdir(parents=True, exist_ok=True)
        with open(output_path, "w", encoding="utf-8") as f:
            json.dump(results, f, ensure_ascii=False, indent=4)
        console.print("✅ JSON 已儲存至 monsters.json")
        return results