"""v5: 几何瞄准 + 慢速滑动(避免 flick 被拒) + logcat 读 verify 响应。

关键修正(v4 的 photo_changed=False 根因):
  1. 瞄准用几何 home_true=183(disX=24, scale=947/686), 不用拟合的有偏截距。
     target = handle_home + (notch - 183) / R,   R=1.27(标定斜率, 无偏)
  2. 慢速 swipe(2500ms)。v4 用 650ms(~946px/s) => flick 被滑块忽略 => 不触发 verify。
     标定的慢扫(3500ms)能触发 verify(错位刷新), 证明慢速 OK。

R=1.27 几何自洽: 轨道[137,~740]=603 宽, 图片 reach[183,~945]=762, 762/603=1.26。
真机 adb touch = 内核 MotionEvent(与人手不可区分); PC 人性化拖拽仍 350014 =>
350014 是指纹(canvas/WebGL), 非拖拽模式 => 真机慢速 swipe 能过(若号码未被标记)。

判定:
  activity 关闭(KwaiWebViewActivity 消失) => result=1, 真机指纹过! 路径=真机/模拟器。
  刷新 + logcat 350014 => 号码被永久标记(真机也过不去)。
  刷新 + logcat 350002 => 缺口错(微调再试)。
  无变化 => 滑动未触发 verify(速度/落点问题)。
"""
from __future__ import annotations
import subprocess
import time
from io import BytesIO
import numpy as np
from PIL import Image

PHOTO_LEFT, PHOTO_RIGHT = 66, 1013
PHOTO_TOP, PHOTO_BOT = 267, 819
SCALE = (PHOTO_RIGHT - PHOTO_LEFT) / 686.0          # 947/686 = 1.379
HOME_TRUE = PHOTO_LEFT + (24 + 122 / 2.0) * SCALE   # = 183.2  (disX=24, cutPic/2=61)
R = 1.27                                           # piece位移/handle位移 (标定斜率, 无偏)
TRACK_Y = 950


def adb_text(*a):
    r = subprocess.run(["adb", *a], capture_output=True, text=True,
                       encoding="utf-8", errors="replace", timeout=60)
    return r.stdout


def cap():
    d = subprocess.run(["adb", "exec-out", "screencap", "-p"],
                       capture_output=True, timeout=30).stdout
    return np.asarray(Image.open(BytesIO(d)).convert("L"))


def photo(img):
    return img[PHOTO_TOP:PHOTO_BOT, PHOTO_LEFT:PHOTO_RIGHT]


def detect_notch(img, x_min_local=230, col_thr=25):
    reg = photo(img)
    col = (reg < 90).sum(axis=0)
    col_r = col[x_min_local:]
    hot = np.where(col_r > col_thr)[0]
    if len(hot) == 0:
        return None
    br = np.where(np.diff(hot) > 12)[0]
    segs = [s for s in np.split(hot, br + 1) if len(s) > 10]
    seg = max(segs, key=lambda s: col_r[s].sum())
    segL = x_min_local + int(seg[0]); segR = x_min_local + int(seg[-1])
    ys, xs = np.where((reg[:, segL:segR + 1] < 95))
    if len(xs) == 0:
        return None
    return PHOTO_LEFT + int(round(np.average(xs + segL)))


def detect_handle(img, lo=80, hi=340):
    band = img[932:968, lo:hi]
    col = (band < 200).sum(axis=0).astype(float)
    hot = np.where(col > 12)[0]
    if len(hot) == 0:
        return None
    br = np.where(np.diff(hot) > 6)[0]
    cands = [s for s in np.split(hot, br + 1) if 10 <= len(s) <= 80]
    if not cands:
        return None
    seg = max(cands, key=lambda s: col[s].max())   # 峰值密度最高=实心按钮
    w = col[seg[0]:seg[-1] + 1]
    return lo + int(round(np.average(seg, weights=w)))


def top_activity():
    out = adb_text("shell", "dumpsys", "activity", "activities")
    return next((l.strip() for l in out.splitlines() if "topResumedActivity" in l), "(none)")


def solve_once(home=None):
    home = home if home is not None else cap()
    notch = detect_notch(home)
    hh = detect_handle(home)
    print(f"[init] notch={notch} handle_home={hh} (HOME_TRUE={HOME_TRUE:.0f} R={R})", flush=True)
    if notch is None or hh is None:
        print("[!] 检测失败"); return "err"

    target = hh + (notch - HOME_TRUE) / R
    tgt = int(round(target))
    print(f"[plan] target = {hh} + ({notch}-{HOME_TRUE:.0f})/{R} = {tgt}", flush=True)

    adb_text("logcat", "-c")
    # 慢速 swipe => 触发 verify(避免 flick 被忽略)
    subprocess.run(["adb", "shell", "input", "swipe",
                    str(hh), str(TRACK_Y), str(tgt), str(TRACK_Y), "2500"], timeout=30)
    time.sleep(4.0)
    aft = cap()
    after = top_activity()
    closed = "KwaiWebViewActivity" not in after
    changed = not np.array_equal(photo(home), photo(aft))
    print(f"[post] closed={closed} photo_changed={changed} top={after[:60]}", flush=True)

    # logcat 找 verify 响应码
    code = None
    hits = []
    for ln in adb_text("logcat", "-d").splitlines():
        low = ln.lower()
        if any(k in low for k in ("350014", "350002", "350005", "\"result\"", "ksecretapi", "captcha/sliding")):
            hits.append(ln[:170])
            for tok in ("350014", "350002", "350005"):
                if tok in ln:
                    code = tok
    print("----- logcat hits -----", flush=True)
    for h in hits[:25]:
        print(h, flush=True)

    if closed:
        return "PASS"
    if code == "350014":
        return "350014"
    if code == "350002":
        return "350002"
    if changed:
        return "refresh(nocode)"
    return "nochange"


def main():
    r = solve_once()
    print(f"\n>>> VERDICT: {r}", flush=True)
    if r == "PASS":
        print(">>> result=1: 真机 WebView 指纹过验证! 可行路径=真机/模拟器。", flush=True)
    elif r == "350014":
        print(">>> 号码被永久标记: 真机正确落点也 350014 => 纯算+真机都过不去, 只能换号。", flush=True)
    elif r == "350002":
        print(">>> 缺口错位(350002): 微调 target 再试。", flush=True)
    elif r == "refresh(nocode)":
        print(">>> 刷新但 logcat 无码: 落点可能正确(350014)或微偏(350002), 需 bracket。", flush=True)
    else:
        print(">>> 滑动未触发 verify: 检查速度/落点。", flush=True)
    return 0


if __name__ == "__main__":
    raise SystemExit(main())