From 53c96229fc4dd6a23fd3b4545e23c6262d25f31a Mon Sep 17 00:00:00 2001 From: ddrwode <34234@3来 34> Date: Fri, 27 Feb 2026 14:48:17 +0800 Subject: [PATCH] haha --- 1.html | 4 +- test1.py | 338 +++++++++++++++++++++++++++++++++++++++++++++++++------ 2 files changed, 305 insertions(+), 37 deletions(-) diff --git a/1.html b/1.html index e5aef75..752741e 100644 --- a/1.html +++ b/1.html @@ -1,7 +1,7 @@ -天翼云盘AI铂金会员订购页天翼云盘AI铂金会员订购页
订购须知
1.方案编号：天翼云盘AI铂金会员（方案编号:24HN103214）
2.资费名称: 天翼云盘AI铂金会员
3.资费类型: 权益包
4.资费标准: 20元/月
5.服务内容: 享天翼云盘AI铂金会员权益服务，可享受天翼云盘8T超大存储空间，单日上传文件大小不限量，回收站文件保存60天、在线编辑、云解压等特权。
6.适用范围: 适用于湖南电信手机用户;主副卡均可订购。
7.有效期限: 订购立即生效，有效期24个月，到期按20元/月自动续订24个月。
8.销售渠道：线上及线下渠道均可办理。
9.上下线时间: 天翼云盘AI铂金会员2020-11-07至2027-10-31
10.在网要求：无
11.退订方式: 线上和线下渠道办理。线上为中国电信APP、网厅、10000号，线下营业厅。
12.违约责任：无
13.其他事项: 本业务无合约约束，可随时取消。订购当月费用按天折算并立即扣费，次月起月初扣费，订购首月权益全量提供。
更多资费内容请认真阅读订购须知。
确认订购请在下面输入手机号，填写验证码后办理。

验证码请勿告知他人，填入后视同订购“天翼云盘AI铂金会员”业务，资费20元/月。

我已认真阅读并知晓 同意办理业务
\ No newline at end of file + })();
订购须知
1.方案编号：天翼云盘AI铂金会员（方案编号:24HN103214）
2.资费名称: 天翼云盘AI铂金会员
3.资费类型: 权益包
4.资费标准: 20元/月
5.服务内容: 享天翼云盘AI铂金会员权益服务，可享受天翼云盘8T超大存储空间，单日上传文件大小不限量，回收站文件保存60天、在线编辑、云解压等特权。
6.适用范围: 适用于湖南电信手机用户;主副卡均可订购。
7.有效期限: 订购立即生效，有效期24个月，到期按20元/月自动续订24个月。
8.销售渠道：线上及线下渠道均可办理。
9.上下线时间: 天翼云盘AI铂金会员2020-11-07至2027-10-31
10.在网要求：无
11.退订方式: 线上和线下渠道办理。线上为中国电信APP、网厅、10000号，线下营业厅。
12.违约责任：无
13.其他事项: 本业务无合约约束，可随时取消。订购当月费用按天折算并立即扣费，次月起月初扣费，订购首月权益全量提供。
更多资费内容请认真阅读订购须知。
确认订购请在下面输入手机号，填写验证码后办理。

验证码请勿告知他人，填入后视同订购“天翼云盘AI铂金会员”业务，资费20元/月。

我已认真阅读并知晓 同意办理业务
请完成安全验证
向右滑动完成验证
\ No newline at end of file diff --git a/test1.py b/test1.py index 265eca3..18a0b5b 100644 --- a/test1.py +++ b/test1.py @@ -18,7 +18,8 @@ from __future__ import annotations import argparse -from typing import Any +import json +from typing import Any, Optional import base64 import random import time @@ -54,12 +55,23 @@ def _piece_bbox(alpha: np.ndarray, threshold: int = 12) -> tuple[int, int, int, return int(xs.min()), int(ys.min()), int(xs.max()) + 1, int(ys.max()) + 1 +def _to_gray(rgb: np.ndarray) -> np.ndarray: + return ( + rgb[:, :, 0] * 0.299 + rgb[:, :, 1] * 0.587 + rgb[:, :, 2] * 0.114 + ).astype(np.float32) + + +def _grad_x(gray: np.ndarray) -> np.ndarray: + pad = np.pad(gray, ((0, 0), (1, 1)), mode="edge") + return np.abs(pad[:, 2:] - pad[:, :-2]) * 0.5 + + def calc_drag_distance_from_bytes( bg_bytes: bytes, piece_bytes: bytes, alpha_threshold: int = 12 ) -> dict: - """计算拼图目标位移（基于背景图 + 拼图块图）。""" - bg = _to_rgb_array(bg_bytes) - piece_rgba = _to_rgba_array(piece_bytes) + """计算拼图目标位移，输出多个候选位移提高滑块命中率。""" + bg = _to_rgb_array(bg_bytes).astype(np.float32) + piece_rgba = _to_rgba_array(piece_bytes).astype(np.float32) bh, bw = bg.shape[:2] ph, _ = piece_rgba.shape[:2] @@ -70,32 +82,55 @@ def calc_drag_distance_from_bytes( x0, y0, x1, y1 = _piece_bbox(alpha, threshold=alpha_threshold) piece_crop = piece_rgba[y0:y1, x0:x1, :3] - mask = alpha[y0:y1, x0:x1] > alpha_threshold + alpha_crop = alpha[y0:y1, x0:x1] + mask = alpha_crop > alpha_threshold ys, xs = np.where(mask) - piece_pixels = piece_crop[ys, xs] + if len(xs) < 10: + raise ValueError("拼图有效像素过少，无法稳定匹配") + + piece_gray = _to_gray(piece_crop) + bg_gray = _to_gray(bg) + piece_grad = _grad_x(piece_gray) + bg_grad = _grad_x(bg_gray) + + piece_gray_pixels = piece_gray[ys, xs] + piece_grad_pixels = piece_grad[ys, xs] + weights = np.clip(alpha_crop[ys, xs].astype(np.float32), 1.0, 255.0) + weights = weights / float(weights.sum()) patch_h, patch_w = piece_crop.shape[:2] if patch_w > bw or patch_h > bh: raise ValueError("拼图块裁剪尺寸超过背景图") - best_x = 0 - best_score = float("inf") - second_best = float("inf") max_x = bw - patch_w + scores: list[tuple[float, int, float, float]] = [] for x in range(max_x + 1): - patch_pixels = bg[y0 + ys, x + xs] - score = float(np.abs(patch_pixels - piece_pixels).mean()) - if score < best_score: - second_best = best_score - best_score = score - best_x = x - elif score < second_best: - second_best = score + patch_gray_pixels = bg_gray[y0 + ys, x + xs] + patch_grad_pixels = bg_grad[y0 + ys, x + xs] + color_score = float((np.abs(patch_gray_pixels - piece_gray_pixels) * weights).sum()) + grad_score = float((np.abs(patch_grad_pixels - piece_grad_pixels) * weights).sum()) + # 颜色 + 边缘加权，较纯 RGB 差值在压缩噪声下更稳定 + score = color_score * 0.72 + grad_score * 0.28 + scores.append((score, x, color_score, grad_score)) + + scores.sort(key=lambda item: item[0]) + best_score, best_x, best_color_score, best_grad_score = scores[0] + second_best = scores[1][0] if len(scores) > 1 else float("inf") drag_distance = best_x - x0 confidence_ratio = (second_best / best_score) if best_score > 0 else float("inf") + candidate_xs: list[int] = [] + for _score, x, _color, _grad in scores: + if any(abs(x - picked) <= 1 for picked in candidate_xs): + continue + candidate_xs.append(int(x)) + if len(candidate_xs) >= 5: + break + + candidate_distances = [int(x - x0) for x in candidate_xs] + return { "target_x": int(best_x), "piece_bbox_x0": int(x0), @@ -106,8 +141,12 @@ def calc_drag_distance_from_bytes( "bg_height": int(bh), "drag_distance": int(drag_distance), "best_score": best_score, + "best_color_score": best_color_score, + "best_grad_score": best_grad_score, "second_best": second_best, "confidence_ratio": confidence_ratio, + "candidate_target_xs": candidate_xs, + "candidate_drag_distances": candidate_distances, } @@ -155,6 +194,212 @@ def wait_for_data_src(img_ele, timeout: float = 6, interval: float = 0.12) -> st ) +def _is_element_visible(page, selector: str) -> bool: + try: + visible = page.run_js( + """ + const el = document.querySelector(arguments[0]); + if (!el) return false; + const st = window.getComputedStyle(el); + if (st.display === 'none' || st.visibility === 'hidden' || st.opacity === '0') return false; + const r = el.getBoundingClientRect(); + return r.width > 0 && r.height > 0; + """, + selector, + ) + return bool(visible) + except Exception: + return False + + +def _read_slider_toast_text(page) -> str: + try: + text = page.run_js( + """ + const node = document.querySelector('.van-toast--text .van-toast__text') + || document.querySelector('.van-toast__text'); + if (!node) return ''; + const popup = node.closest('.van-toast') || node; + const st = window.getComputedStyle(popup); + const visible = st.display !== 'none' && st.visibility !== 'hidden' && st.opacity !== '0'; + if (!visible) return ''; + return (node.innerText || node.textContent || '').trim(); + """ + ) + return (text or "").strip() + except Exception: + return "" + + +def _get_slider_layout_metrics(page, bg_img, slider_ele) -> dict: + try: + metrics = page.run_js( + """ + const bg = arguments[0]; + const slider = arguments[1]; + const bar = document.querySelector('.verify-bar-area'); + const sub = slider ? slider.querySelector('.verify-sub-block') : null; + const bgR = bg ? bg.getBoundingClientRect() : {width: 0}; + const sliderR = slider ? slider.getBoundingClientRect() : {width: 0}; + const barR = bar ? bar.getBoundingClientRect() : {width: 0}; + const subR = sub ? sub.getBoundingClientRect() : {width: 0}; + return { + bg_display_w: Number(bgR.width || 0), + slider_w: Number(sliderR.width || 0), + bar_w: Number(barR.width || 0), + sub_w: Number(subR.width || 0), + }; + """, + bg_img, + slider_ele, + ) + except Exception: + metrics = None + + if not isinstance(metrics, dict): + metrics = {} + + bar_w = float(metrics.get("bar_w", 0) or 0) + slider_w = float(metrics.get("slider_w", 0) or 0) + track_max = int(round(max(0.0, bar_w - slider_w))) if bar_w > 0 and slider_w > 0 else -1 + + return { + "bg_display_w": float(metrics.get("bg_display_w", 0) or 0), + "slider_w": slider_w, + "bar_w": bar_w, + "sub_w": float(metrics.get("sub_w", 0) or 0), + "track_max": track_max, + } + + +def _build_move_distance_candidates( + match: dict, + scale: float, + distance_adjust: int, + track_max: int, +) -> list[int]: + base_distances = match.get("candidate_drag_distances") or [int(match["drag_distance"])] + micro_offsets = (0, -1, 1, -2, 2, -3, 3) + + candidates: list[int] = [] + seen: set[int] = set() + + for base in base_distances[:4]: + scaled = int(round(int(base) * scale)) + int(distance_adjust) + for offset in micro_offsets: + val = scaled + offset + if track_max >= 0: + val = max(0, min(track_max, val)) + if val not in seen: + seen.add(val) + candidates.append(val) + + if not candidates: + fallback = int(round(int(match["drag_distance"]) * scale)) + int(distance_adjust) + if track_max >= 0: + fallback = max(0, min(track_max, fallback)) + candidates = [fallback] + + return candidates + + +def _normalize_listen_packet(packet): + if packet is False: + return None + if isinstance(packet, list): + return packet[0] if packet else None + return packet + + +def _coerce_json_body(body: Any) -> Any: + if not isinstance(body, str): + return body + raw = body.strip() + if not raw: + return body + if (raw.startswith("{") and raw.endswith("}")) or (raw.startswith("[") and raw.endswith("]")): + try: + return json.loads(raw) + except Exception: + return body + return body + + +def _code_indicates_success(value: Any) -> Optional[bool]: + if value is None: + return None + if isinstance(value, bool): + return value + if isinstance(value, (int, float)): + return int(value) in (0, 1, 200) + + text = str(value).strip() + if not text: + return None + lower = text.lower() + if lower in {"0", "00", "000", "0000", "1", "200", "ok", "success", "true"}: + return True + if lower in {"false", "fail", "failed", "error", "err"}: + return False + if lower.lstrip("-").isdigit(): + return int(lower) in (0, 1, 200) + return False + + +def _assert_interface_success(body: Any) -> None: + data = _coerce_json_body(body) + if not isinstance(data, dict): + return + + fail_reasons: list[str] = [] + + for key in ("success", "ok"): + if key in data and not bool(data[key]): + fail_reasons.append(f"{key}={data[key]}") + + for key in ("code", "retCode", "resultCode", "statusCode", "errno"): + if key not in data: + continue + code_ok = _code_indicates_success(data[key]) + if code_ok is False: + fail_reasons.append(f"{key}={data[key]}") + + message = "" + for key in ("msg", "message", "error", "errorMsg", "detail", "retMsg"): + value = data.get(key) + if isinstance(value, str) and value.strip(): + message = value.strip() + break + + if message: + lowered = message.lower() + fail_words = ("失败", "错误", "无效", "fail", "error", "invalid", "请重新", "未通过") + if any(word in lowered for word in fail_words): + fail_reasons.append(f"msg={message}") + + if fail_reasons: + preview = str(data) + if len(preview) > 300: + preview = preview[:300] + "..." + raise RuntimeError(f"接口返回失败: {', '.join(fail_reasons)}; body={preview}") + + +def _wait_packet_or_feedback(page, timeout: float) -> tuple[Any, str]: + deadline = time.time() + timeout + last_toast = "" + while time.time() < deadline: + wait_span = min(0.35, max(0.05, deadline - time.time())) + packet = _normalize_listen_packet(page.listen.wait(timeout=wait_span, fit_count=False)) + if packet is not None: + return packet, last_toast + + toast = _read_slider_toast_text(page) + if toast: + last_toast = toast + + return None, last_toast + + # ---------- 滑块拖动（仿人轨迹） ---------- def _ease_out_quad(t: float) -> float: @@ -428,28 +673,51 @@ def submit_phone( match = calc_drag_distance_from_bytes( bg_bytes, piece_bytes, alpha_threshold=alpha_threshold ) - bg_display_w = page.run_js( - "const el = arguments[0]; const r = el.getBoundingClientRect(); return r.width;", - bg_img, - ) - if not bg_display_w or bg_display_w <= 0: - bg_display_w = match["bg_width"] + layout = _get_slider_layout_metrics(page, bg_img, slider) + bg_display_w = layout["bg_display_w"] if layout["bg_display_w"] > 0 else match["bg_width"] scale = float(bg_display_w) / max(1, match["bg_width"]) - move_distance = int(round(match["drag_distance"] * scale)) + int(distance_adjust) + move_distances = _build_move_distance_candidates( + match=match, + scale=scale, + distance_adjust=int(distance_adjust), + track_max=int(layout["track_max"]), + ) - # 6. 执行滑块并等待 getYanZhenMa 响应 - drag_slider(page, slider, move_distance) - time.sleep(0.5) + # 6. 多候选位移拖动并等待 getYanZhenMa 响应 + deadline = time.time() + 15.0 + last_reason = "" - packet = page.listen.wait(timeout=15, fit_count=False) - if packet is False: - raise RuntimeError(f"滑块拖动后 15s 内未收到 {GET_YAN_ZHEN_MA_URL} 响应") - if isinstance(packet, list): - packet = packet[0] if packet else None - if packet is None: - raise RuntimeError(f"未捕获到 {GET_YAN_ZHEN_MA_URL} 数据包") + for idx, move_distance in enumerate(move_distances, start=1): + slider = find_first(page, ["css:.verify-move-block"], timeout=2) + if not slider: + break - return packet.response.body + drag_slider(page, slider, move_distance) + time.sleep(0.2) + + remaining = max(0.1, deadline - time.time()) + packet, toast_text = _wait_packet_or_feedback(page, timeout=min(4.0, remaining)) + if packet is not None: + response = getattr(packet, "response", None) + if response is None: + raise RuntimeError(f"捕获到 {GET_YAN_ZHEN_MA_URL} 数据包但无 response 字段") + body = _coerce_json_body(response.body) + _assert_interface_success(body) + return body + + if toast_text: + last_reason = f"滑块验证失败：{toast_text}" + elif _is_element_visible(page, ".verify-bar-area"): + last_reason = f"第{idx}次拖动未触发 {GET_YAN_ZHEN_MA_URL}" + else: + last_reason = "验证码弹窗已关闭但未捕获接口响应" + + if time.time() >= deadline: + break + + raise RuntimeError( + f"滑块未通过或接口未返回成功结果: {last_reason or '未知原因'}" + ) def submit_code(page, code: str) -> dict: