aiData/Test/TestFirstPage/T_XinDianTu_FirstPageScrollTest.py

import asyncio
import os
import sys
import time
import shutil

import uiautomator2 as u2
import cv2


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


from Apps.XinDianTu.Kit import setup_logger, take_screenshot
from Apps.XinDianTu.Config.Setting import SCROLL_DISTANCE_RATIO, WAIT_AFTER_SCROLL
from Apps.XinDianTu.FirstPageKit import run_ocr_rect, run_batch_in_dir


OUTPUT_DIR = os.path.join(project_root, "Output")
LOGS_DIR = os.path.join(project_root, "Logs")
os.makedirs(OUTPUT_DIR, exist_ok=True)
os.makedirs(LOGS_DIR, exist_ok=True)
LOG_FILE_PATH = os.path.join(LOGS_DIR, "T_XinDianTu_FirstPageScrollTest.log")

logger = setup_logger(
    "XinDianTu.FirstPageScrollTest", log_file=LOG_FILE_PATH, clear_old_log=True
)


async def capture_list_page(d, base_dir: str, index: int):
    ts = int(time.time())
    image_uuid = f"xdt_firstpage_{index}_{ts}"
    list_path = take_screenshot(d, image_uuid, save_dir=base_dir)
    logger.info(f"[{index}] 列表截图路径: {list_path}")

    try:
        await run_ocr_rect(list_path, log_path=LOG_FILE_PATH)
        logger.info(f"[{index}] 已根据 OCR+LLM 算法生成首屏绿框调试图。")
    except Exception as e:
        logger.exception(f"[{index}] 运行 OCR 绿框测试失败: {e}")


async def run_scroll_capture():
    logger.info("请先手动打开微信并进入新电途小程序的场站列表第一页。")

    d = u2.connect()
    w, h = d.window_size()
    device_info = d.info or {}
    device_info["width"] = w
    device_info["height"] = h

    logger.info(f"当前设备: {device_info.get('productName')} | 分辨率: {w}x{h}")

    base_dir = OUTPUT_DIR
    if os.path.exists(base_dir):
        for name in os.listdir(base_dir):
            path = os.path.join(base_dir, name)
            if os.path.isfile(path) or os.path.islink(path):
                os.remove(path)
            elif os.path.isdir(path):
                shutil.rmtree(path)
    os.makedirs(base_dir, exist_ok=True)

    for i in range(1, 6):
        await capture_list_page(d, base_dir, i)
        if i < 5:
            logger.info(f"[{i}] 向上滑动，scale={SCROLL_DISTANCE_RATIO}，等待 {WAIT_AFTER_SCROLL} 秒后继续截图。")
            d.swipe_ext("up", scale=SCROLL_DISTANCE_RATIO)
            await asyncio.sleep(WAIT_AFTER_SCROLL)


async def run_batch_local():
    base_dir = os.path.dirname(os.path.abspath(__file__))
    logger.info(f"批量处理目录中的 JPG 文件: {base_dir}")
    await run_batch_in_dir(base_dir, log_path=LOG_FILE_PATH)


async def run_single_image(image_path: str):
    if not image_path:
        logger.error("单图模式下需要提供图片路径。")
        return
    if not os.path.isabs(image_path):
        image_path = os.path.abspath(image_path)
    if not os.path.exists(image_path):
        logger.error(f"指定的图片不存在: {image_path}")
        return
    logger.info(f"单图 OCR 测试，图片路径: {image_path}")
    await run_ocr_rect(image_path, log_path=LOG_FILE_PATH)


async def run_output_regression():
    base_dir = OUTPUT_DIR
    if not os.path.exists(base_dir):
        logger.error(f"离线回归目录不存在: {base_dir}")
        return
    files = sorted(os.listdir(base_dir))
    jpg_files = []
    for name in files:
        lower = name.lower()
        if not lower.endswith(".jpg"):
            continue
        if lower.endswith("_ocr_rect.jpg"):
            continue
        jpg_files.append(os.path.join(base_dir, name))
    if not jpg_files:
        logger.error("离线回归目录中不存在待检测的原始 JPG 截图。")
        return
    total = len(jpg_files)
    ok_count = 0
    for path in jpg_files:
        img = cv2.imread(path)
        if img is None:
            logger.error(f"无法读取图片: {path}")
            continue
        h, w = img.shape[:2]
        logger.info(f"开始离线校验: {path}")
        stations = await run_ocr_rect(path, log_path=LOG_FILE_PATH)
        if not stations:
            logger.error(f"离线校验失败: {path} 未识别到任何场站。")
            continue
        page_ok = True
        for st in stations:
            rect = st.get("rect") or []
            if not isinstance(rect, (list, tuple)) or len(rect) < 4:
                logger.error(f"场站缺少有效矩形信息: {st}")
                page_ok = False
                break
            x1, y1, x2, y2 = rect[0], rect[1], rect[2], rect[3]
            if not (0 <= x1 < x2 <= w and 0 <= y1 < y2 <= h):
                logger.error(f"矩形越界: {rect}, 图片尺寸=({w},{h})")
                page_ok = False
                break
            busy_list = st.get("busy_list") or []
            if not busy_list:
                logger.error(f"场站忙闲信息为空: {st}")
                page_ok = False
                break
            click_point = st.get("click_point") or st.get("click") or []
            if isinstance(click_point, (list, tuple)) and len(click_point) >= 2:
                cx, cy = click_point[0], click_point[1]
                if not (x1 <= cx <= x2 and y1 <= cy <= y2):
                    logger.error(f"点击点不在矩形内部: click={click_point}, rect={rect}")
                    page_ok = False
                    break
        if page_ok:
            ok_count += 1
            logger.info(f"离线校验通过: {path}")
        else:
            logger.error(f"离线校验未通过: {path}")
    if ok_count != total:
        raise AssertionError(f"离线首屏 OCR+LLM 校验未全部通过: {ok_count}/{total}")
    logger.info(f"离线首屏 OCR+LLM 校验全部通过: {ok_count}/{total}")


if __name__ == "__main__":
    if os.path.exists(LOGS_DIR):
        for name in os.listdir(LOGS_DIR):
            if not name.startswith("T_XinDianTu_"):
                continue
            path = os.path.join(LOGS_DIR, name)
            if os.path.isfile(path) or os.path.islink(path):
                try:
                    os.remove(path)
                except PermissionError:
                    pass
            elif os.path.isdir(path):
                shutil.rmtree(path, ignore_errors=True)
    else:
        os.makedirs(LOGS_DIR, exist_ok=True)
    mode = "scroll"
    image_path = None
    if len(sys.argv) >= 2:
        arg1 = sys.argv[1]
        lower = arg1.lower()
        if lower == "batch":
            mode = "batch"
        elif lower == "image":
            mode = "image"
            if len(sys.argv) >= 3:
                image_path = sys.argv[2]
        elif lower == "check":
            mode = "check"
        else:
            if any(lower.endswith(ext) for ext in [".jpg", ".jpeg", ".png"]):
                mode = "image"
                image_path = arg1
    try:
        if mode == "batch":
            asyncio.run(run_batch_local())
        elif mode == "image":
            asyncio.run(run_single_image(image_path))
        elif mode == "check":
            asyncio.run(run_output_regression())
        else:
            asyncio.run(run_scroll_capture())
    except KeyboardInterrupt:
        logger.info("用户手动中断测试脚本。")
    except Exception as e:
        logger.exception(f"测试脚本运行异常: {e}")