aiData/Tools/T_TeLaiDian_ScrollTest.py

# coding=utf-8
import asyncio
import os
import sys
import time
import uiautomator2 as u2
import cv2

project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if project_root not in sys.path:
    sys.path.append(project_root)

from Apps.TeLaiDian.Kit import setup_logger, take_screenshot, read_image, save_image
from Apps.TeLaiDian.Config.Setting import SAFE_EXCLUDE_RATIO, BOTTOM_SAFE_EXCLUDE_RATIO


logger = setup_logger("TeLaiDianScrollTest", clear_old_log=False)

# 根据最新红点截图重新估算的顶部“价格”标签归一化坐标（0-1000）
# 这里调成：X ≈ 22% 屏宽，Y ≈ 13% 屏高
PRICE_TAB_X_NORM = 220
PRICE_TAB_Y_NORM = 130

# 价格信息卡片中左侧“当前价”红色数字的大致归一化坐标（0-1000）
# 估算：X ≈ 23% 屏宽，Y ≈ 38% 屏高
PRICE_ENTRY_X_NORM = 230
PRICE_ENTRY_Y_NORM = 380


async def run_scroll_test():
    d = u2.connect()
    w, h = d.window_size()

    logger.info("=== 特来电详情页第2页滚动安全性测试开始 ===")
    logger.info("请先手动进入某个场站详情页的第2页状态，然后执行本脚本。脚本会尽可能多次大幅向上滑动，直到页面不再变化。")

    first_screen = take_screenshot(d, f"tld_scrolltest_start_{int(time.time())}.jpg")
    logger.info(f"[测试] 起始界面截图: {first_screen}")

    last_md5 = None
    stable_count = 0
    max_round = 30

    from Apps.TeLaiDian.Kit import get_image_content_md5

    for idx in range(max_round):
        # 1. 先执行一次“大力向上滑动”
        start_x = int(w * 0.9)
        start_y = int(h * 0.85)
        end_y = int(h * 0.25)
        logger.info(f"[测试] 第 {idx + 1} 轮大幅向上滑动: ({start_x}, {start_y}) -> ({start_x}, {end_y})")
        d.swipe(start_x, start_y, start_x, end_y, 0.25)
        await asyncio.sleep(1.0)

        # 2. 滑动完成后再截图、比较内容是否还在变化
        screen_path = take_screenshot(d, f"tld_scrolltest_{int(time.time())}_{idx}.jpg")
        logger.info(f"[测试] 第 {idx + 1} 轮滑动后的截图: {screen_path}")
        curr_md5 = get_image_content_md5(
            screen_path,
            top_ratio=SAFE_EXCLUDE_RATIO,
            bottom_ratio=BOTTOM_SAFE_EXCLUDE_RATIO,
        )
        if last_md5 is not None and curr_md5 == last_md5:
            stable_count += 1
            logger.info(f"[测试] 页面内容连续第 {stable_count} 次无变化")
        else:
            stable_count = 0
        last_md5 = curr_md5

        if stable_count >= 2:
            logger.info("[测试] 检测到页面多次无变化，认为已到达顶部固定区域，提前结束测试。")
            break

    final_screen = take_screenshot(d, f"tld_scrolltest_end_{int(time.time())}.jpg")
    logger.info(f"[测试] 结束时界面截图: {final_screen}")

    # 使用写死的归一化坐标点击顶部“价格”标签
    tab_x = int(PRICE_TAB_X_NORM * w / 1000)
    tab_y = int(PRICE_TAB_Y_NORM * h / 1000)
    logger.info(f"[测试] 使用固定归一化坐标点击顶部“价格”标签: 归一化({PRICE_TAB_X_NORM}, {PRICE_TAB_Y_NORM}) -> 像素({tab_x}, {tab_y})")
    try:
        d.click(tab_x, tab_y)
        await asyncio.sleep(1.0)
        after_tab_screen = take_screenshot(d, f"tld_scrolltest_after_price_tab_{int(time.time())}.jpg")
        logger.info(f"[测试] 点击顶部“价格”标签后的界面截图: {after_tab_screen}")
        try:
            img = read_image(after_tab_screen)
            if img is not None:
                cv2.circle(img, (tab_x, tab_y), 20, (0, 0, 255), -1)

                entry_x = int(PRICE_ENTRY_X_NORM * w / 1000)
                entry_y = int(PRICE_ENTRY_Y_NORM * h / 1000)
                cv2.circle(img, (entry_x, entry_y), 20, (0, 0, 255), -1)

                debug_path = after_tab_screen.replace(".jpg", f"_click_{tab_x}_{tab_y}_price_{entry_x}_{entry_y}.jpg")
                save_image(debug_path, img)
                logger.info(f"[测试] 已在截图上标记价格标签和下方每度价格的红点: {debug_path}")
            else:
                logger.warning(f"[测试] 加载点击后截图失败，无法绘制红点: {after_tab_screen}")
        except Exception as e:
            logger.error(f"[测试] 绘制价格标签或下方价格红点失败: {e}")
    except Exception as e:
        logger.error(f"[测试] 点击顶部“价格”标签失败: {e}")

    logger.info("=== 特来电详情页第2页滚动安全性测试结束 ===")


if __name__ == "__main__":
    try:
        asyncio.run(run_scroll_test())
    except KeyboardInterrupt:
        logger.info("用户中断了滚动测试。")
    except Exception as e:
        logger.exception(f"滚动测试运行异常: {e}")