# -*- coding: utf-8 -*- """ 滑块拼图求解器 回归测试 (AGENTS.md §5.9) 固化的性质 (样本取自 1ms.run aid=195672344 真机页面 2026-10-11 的滑块验证码): 1. `sprite_region` 能把 CSS 的 background-position/size 正确换算成精灵图像素区域; 2. ZNCC 峰值落在**真缺口**上, 而不是干扰缺口, 也不是拼图块当前位置; 3. 通过 y 方向小抖动吸收取整误差, 结果稳定; 4. `ok` 的判定 (分数 + 与次峰间距) 在该样本上成立。 样本: tcaptcha/tests/fixtures/1ms_slider_1_{bg.jpg,sprite.png} bg = 页面 `img_index=1` 的背景图 (672x390, 含真缺口 + 干扰缺口) sprite = 页面 `img_index=0` 的精灵图 (682x620, 含拖动柄 + 拼图块) DOM 实测口径 (drag_ele.html iframe 内): slideBg rect=(10, 68.78) 显示 340 x 242.857 -> scale = 340/672 = 0.50595238 拼图块元素 rect=(35.2976, 133.53) 显示 60.7143 x 60.7143 background-position: -70.8333px -247.917px background-size: 345.06px 313.69px => 拼图块裁剪图在背景图坐标系里的左上角 = (50.0, 127.97) 运行: .venv/bin/python -m tcaptcha.tests.test_slider_solver """ from __future__ import annotations import sys from pathlib import Path import cv2 ROOT = Path(__file__).resolve().parents[2] if str(ROOT) not in sys.path: sys.path.insert(0, str(ROOT)) from tcaptcha.slider_solver import SliderSolver, piece_mask, sprite_region # noqa: E402 FIX = ROOT / "tcaptcha" / "tests" / "fixtures" # 真机 DOM 口径 BG_POS = (-70.8333, -247.917) BG_SIZE = (345.06, 313.69) ELEM_SIZE = (60.7143, 60.7143) SLIDE_W = 340.0 BG_NATURAL_W = 672.0 SCALE = SLIDE_W / BG_NATURAL_W # 0.50595238 PIECE_X_IMAGE = 50.0 PIECE_Y_IMAGE = 128.0 EXPECTED_DX_IMAGE = 293.0 # 真缺口 x - 拼图块 x EXPECTED_DECOY_X = 489 # 干扰缺口在背景图坐标里的 x _fails: list = [] def check(name: str, cond: bool, detail: str = "") -> None: print(f" [{'PASS' if cond else 'FAIL'}] {name}" + (f" {detail}" if detail else "")) if not cond: _fails.append(name) def main() -> int: bg = cv2.imread(str(FIX / "1ms_slider_1_bg.jpg")) sprite = cv2.imread(str(FIX / "1ms_slider_1_sprite.png"), cv2.IMREAD_UNCHANGED) if bg is None or sprite is None: print("缺少 fixture, 请确认 tcaptcha/tests/fixtures/1ms_slider_1_* 存在") return 1 print(f"bg={bg.shape} sprite={sprite.shape}") print("\n[1] 精灵图区域换算") x, y, w, h = sprite_region(BG_POS, BG_SIZE, ELEM_SIZE, sprite.shape[:2]) check("sprite_region == (140, 490, 120, 120)", (x, y, w, h) == (140, 490, 120, 120), f"got={(x, y, w, h)}") crop = sprite[y:y + h, x:x + w] mask = piece_mask(crop) check("拼图块掩膜非空且不过分满", 500 < int(mask.sum()) < w * h * 0.9, f"mask={int(mask.sum())}/{w * h}") print("\n[2] 缺口定位 (ZNCC)") res = SliderSolver().solve(bg, crop, piece_x_image=PIECE_X_IMAGE, scale=SCALE, piece_y_image=PIECE_Y_IMAGE) print(f" {res.describe()}") check("ok", res.ok) check("分数 >= 0.65", res.score >= 0.65, f"score={res.score:.3f}") check("与次峰间距 >= 0.15", res.margin >= 0.15, f"margin={res.margin:.3f}") check("落在真缺口 (误差 <= 4 背景像素)", abs(res.target_x_image - (PIECE_X_IMAGE + EXPECTED_DX_IMAGE)) <= 4, f"target_x={res.target_x_image}") print("\n[3] 干扰缺口没有被选中") decoy = [x0 for x0, _ in res.candidates if abs(x0 - EXPECTED_DECOY_X) <= 6] check("次峰就是干扰缺口", bool(decoy), f"candidates={res.candidates}") check("真缺口分数严格高于干扰缺口", res.score > res.runner_up + 0.1, f"{res.score:.3f} vs {res.runner_up:.3f}") print("\n[4] 显示坐标换算") check("dx_display == dx_image * scale", abs(res.dx_display - res.dx_image * SCALE) < 1e-6, f"{res.dx_display:.2f} == {res.dx_image:.2f} * {SCALE:.6f}") check("dx_display 落在 [140, 160]", 140 <= res.dx_display <= 160, f"{res.dx_display:.2f}") print("\n[5] 拼图块当前位置不是答案 (那里没有洞)") near_piece = [s for x0, s in res.candidates if abs(x0 - PIECE_X_IMAGE) <= 8] check("拼图块自身位置的分数很低", all(s < 0.3 for s in near_piece), f"{near_piece}") print(f"\n{'=' * 62}") if _fails: print(f"❌ slider_solver 测试失败: {_fails}") return 1 print("✅ slider_solver 测试全部通过") return 0 if __name__ == "__main__": raise SystemExit(main())