上传新文件

test滑动.py

+import ddddocr
+from selenium import webdriver
+from selenium.webdriver.chrome.service import Service
+from selenium.webdriver.common.action_chains import ActionChains
+from selenium.webdriver.common.by import By
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+import time
+import traceback
+#测试滑动
+DRIVER_PATH = "C:\\Users\\zqq\\Desktop\\test\\chromedriver-win64\\chromedriver.exe"
+VOTE_URL = "https://test-h5.hudongtang.cn/doings/?eid=144&channel=web&withUserAgent=true#/home/aqe"
+SLIDER_LOCATOR = (By.CLASS_NAME, "verify-move-block")
+BG_LOCATOR = (By.CLASS_NAME, "q-img__image--loaded")
+
+# 初始化ddddocr
+ocr = ddddocr.DdddOcr(det=False, ocr=False)
+# 初始化浏览器
+service = Service(executable_path=DRIVER_PATH)
+driver = webdriver.Chrome(service=service)
+driver.maximize_window()
+wait = WebDriverWait(driver, 20)
+
+def test_slide_captcha_auto():
+    try:
+        # 打开页面
+        driver.get(VOTE_URL)
+        print("成功打开投票链接")
+        time.sleep(5)
+
+        # 自动找投票按钮并点击
+        vote_btn = None
+        # 方式1：找包含“投票”文字的元素
+        try:
+            vote_btn = wait.until(EC.element_to_be_clickable((By.XPATH, "//*[contains(text(), '投票')]")))
+            print("找到带「投票」文字的按钮")
+        except:
+            # 方式2：找所有可点击的按钮/按钮样式元素
+            try:
+                vote_btn = wait.until(EC.element_to_be_clickable((By.TAG_NAME, "button")))
+                print("找到页面第一个可点击按钮（作为投票按钮）")
+            except:
+                # 方式3：找class包含“btn”的元素（投票按钮常用）
+                vote_btn = wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, "[class*='btn']")))
+                print("找到class含「btn」的按钮（作为投票按钮）")
+        
+        # 自动点击投票按钮，触发验证码
+        if vote_btn:
+            vote_btn.click()
+            print("自动点击投票按钮，触发验证码加载...")
+            time.sleep(3)  # 等待验证码弹出
+        else:
+            print("未找到投票按钮，继续执行")
+
+        # 3. 定位滑块和背景图
+        slider = wait.until(EC.presence_of_element_located(SLIDER_LOCATOR))
+        slide_bg = wait.until(EC.presence_of_element_located(BG_LOCATOR))
+        print("精准定位到滑块和背景图元素！")
+
+        # 4. 截图+识别缺口
+        slide_bg.screenshot("slide_bg.png")
+        slider.screenshot("slide_block.png")
+        print("成功截取验证码图片")
+        
+        with open("slide_bg.png", "rb") as f:
+            bg_bytes = f.read()
+        with open("slide_block.png", "rb") as f:
+            block_bytes = f.read()
+        res = ocr.slide_match(block_bytes, bg_bytes, simple_target=True)
+        target_x = res["target"][0]
+        print(f"机器识别缺口位置：X={target_x}px")
+
+        # 5. 模拟机器滑动
+        start_time = time.time()
+        action = ActionChains(driver)
+        action.click_and_hold(slider).move_by_offset(target_x, 0).release().perform()
+        slide_duration = time.time() - start_time
+        print(f"机器滑动完成，耗时：{slide_duration:.3f}秒")
+
+        # 6. 输出核心特征
+        print(f"1. 滑动时长：{slide_duration:.3f}秒（真人≥1秒，机器＜1秒）")
+        print(f"3. 坐标特征：精准匹配X={target_x}px，无偏移")
+
+
+    except Exception as e:
+        print("测试出错：", e)
+        print("报错详情：", traceback.format_exc())
+    finally:
+        time.sleep(3)
+        driver.quit()
+        print("浏览器已关闭，测试结束")
+
+if __name__ == "__main__":
+    test_slide_captcha_auto()
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