// 保存原始的fillText方法
const originalFillText = CanvasRenderingContext2D.prototype.fillText;

// 重写fillText方法，拦截所有绘制的文字
CanvasRenderingContext2D.prototype.fillText = function(text, x, y) {
    // 将绘制的文字存到Canvas元素的自定义属性上
    this.canvas.dataset.renderedText = text;
    // 调用原始方法，保证页面正常显示
    return originalFillText.call(this, text, x, y);
};

console.log('✅ Canvas文字拦截Hook已生效');

// 专门针对雷速体育的赔率提取
const oddsData = Array.from(document.querySelectorAll('span[class*="exponent"] canvas'))
    .map(canvas => ({
        赔率数值: canvas.dataset.renderedText,
        时间节点: canvas.closest('tr').querySelector('td:first-child')?.textContent?.trim(),
        涨跌: canvas.parentElement.classList.contains('exponent-up') ? '涨' : '跌'
    }))
    .filter(item => item.赔率数值); // 过滤空Canvas

console.table(oddsData); 

from playwright.sync_api import sync_playwright

with sync_playwright() as p:
    browser = p.chromium.launch(headless=False)
    page = browser.new_page()
    
    # 页面加载前注入Hook，一劳永逸
    page.add_init_script("""
        const originalFillText = CanvasRenderingContext2D.prototype.fillText;
        CanvasRenderingContext2D.prototype.fillText = function(text, x, y) {
            this.canvas.dataset.renderedText = text;
            return originalFillText.call(this, text, x, y);
        };
    """)
    
    # 打开目标比赛页面
    page.goto("https://www.leisu.com/match/你的比赛ID")
    page.wait_for_selector("canvas")
    
    # 提取数据
    data = page.evaluate("""
        () => Array.from(document.querySelectorAll('span[class*="exponent"] canvas'))
            .map(c => ({
                value: c.dataset.renderedText,
                time: c.closest('tr').cells[0].textContent.trim()
            }))
    """)
    
    print(data)
    browser.close()

from selenium import webdriver
from PIL import Image
import pytesseract
import io

driver = webdriver.Chrome()
driver.get("https://www.leisu.com/match/你的比赛ID")

# 识别所有Canvas
for canvas in driver.find_elements("tag name", "canvas"):
    # 直接截取Canvas元素的截图
    img = Image.open(io.BytesIO(canvas.screenshot_as_png))
    # 只识别数字和小数点，提高准确率
    text = pytesseract.image_to_string(
        img, 
        config="--psm 8 --oem 3 -c tessedit_char_whitelist=0123456789."
    )
    print(text.strip())