580 lines
23 KiB
Python
580 lines
23 KiB
Python
"""虎牙登录风控验证闭环。"""
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from __future__ import annotations
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import base64
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import io
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import json
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import random
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import time
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import uuid
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from collections.abc import Mapping
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from http.cookies import SimpleCookie
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from typing import Any, cast
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from urllib.parse import parse_qs, quote, urlparse
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import cv2
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import execjs
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import numpy as np
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import requests
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from loguru import logger
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from PIL import Image
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from .ocr import HuyaCaptchaOcr, default_ocr
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from .track import format_track, generate_slide_track
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DEFAULT_UA = (
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
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"AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/120.0.0.0 Safari/537.36"
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)
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class HuyaVerificationError(RuntimeError):
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"""虎牙风控验证失败。"""
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class HuyaNoSessionError(HuyaVerificationError):
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"""config3 未下发图形验证会话（策略不匹配或无需滑块）。"""
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class HuyaQrAuthRequiredError(HuyaVerificationError):
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"""风控策略为扫码验证（qr_auth），需已登录设备确认，无法自动化。"""
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class HuyaSmsAuthRequiredError(HuyaVerificationError):
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"""风控策略为短信验证（dx_auth），需接码/收码后提交。"""
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def __init__(self, challenge_payload: dict | str, message: str = ""):
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self.challenge_payload = challenge_payload
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super().__init__(message or "虎牙风控要求短信验证")
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def _cookie_mapping(cookie: Mapping[str, str] | str | None) -> dict[str, str]:
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"""兼容 dict 和 Cookie 字符串。"""
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if not cookie:
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return {}
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if isinstance(cookie, str):
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parsed = SimpleCookie()
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parsed.load(cookie)
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return {key: morsel.value for key, morsel in parsed.items()}
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return {str(key): str(value) for key, value in cookie.items()}
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class HuyaVerificationSolver:
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"""处理虎牙 returnCode=10030/10039 后的滑块或点选验证。"""
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def __init__(
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self,
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cookie: Mapping[str, str] | str | None = None,
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ua: str = DEFAULT_UA,
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sdid: str = "",
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session: requests.Session | None = None,
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ocr: HuyaCaptchaOcr | None = None,
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proxies: Mapping[str, str] | None = None,
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timeout: tuple[float, float] = (8, 20),
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app_id: str = "5002",
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page_url: str | None = None,
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use_touch_events: bool = False,
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):
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self.cookie = _cookie_mapping(cookie)
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self.ua = ua or DEFAULT_UA
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self.sdid = sdid or self.cookie.get("sdid", "")
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self.session = session or requests.Session()
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self.session.trust_env = False
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if self.cookie:
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self.session.cookies.update(self.cookie)
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if proxies:
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self.session.proxies = dict(proxies)
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self.session.headers.update(
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{
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"Accept-Language": "zh-CN,zh;q=0.9",
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"Origin": "https://aq.huya.com",
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"Pragma": "no-cache",
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"Referer": "https://aq.huya.com/",
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"User-Agent": self.ua,
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"accept": "application/json, text/plain, */*",
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"content-type": "application/json",
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}
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)
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self.timeout = timeout
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self.ocr = ocr or default_ocr()
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self.huyapk = ""
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self.scene_type = ""
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self.code = ""
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self.url_param_map: dict[str, str] = {}
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self.strategy_url = ""
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self.js_ctx: Any = None
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self.behavior_events: list[dict] = []
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self.app_id = app_id
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self.page_url = page_url or self._auth_page_url()
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self.use_touch_events = use_touch_events
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@staticmethod
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def _auth_page_url() -> str:
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"""生成 auth 页面地址，形式参考易语言实现。"""
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return f"https://aq.huya.com/p/udb_login.html?v={str(int(time.time() * 1000))[:8]}00000"
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@staticmethod
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def _decode_image(base64_string: str | None) -> bytes:
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if not base64_string:
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raise HuyaVerificationError("验证码图片为空")
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if ";base64," in base64_string:
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base64_string = base64_string.split(";base64,")[-1]
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return base64.b64decode(base64_string)
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@staticmethod
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def _vertical_concat_align_left(
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bg_bytes: bytes, tip_bytes: bytes, image_format: str = "JPEG"
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) -> bytes:
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bg = cv2.imdecode(np.frombuffer(bg_bytes, np.uint8), cv2.IMREAD_COLOR)
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tip = cv2.imdecode(np.frombuffer(tip_bytes, np.uint8), cv2.IMREAD_COLOR)
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if bg is None or tip is None:
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raise HuyaVerificationError("验证码图片解码失败")
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max_width = max(bg.shape[1], tip.shape[1])
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def pad_right(img, target_width):
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_height, width = img.shape[:2]
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if width >= target_width:
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return img
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return cv2.copyMakeBorder(
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img,
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0,
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0,
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0,
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target_width - width,
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cv2.BORDER_CONSTANT,
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value=(255, 255, 255),
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)
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concat_img = np.vstack([pad_right(tip, max_width), pad_right(bg, max_width)])
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success, buffer = cv2.imencode(f".{image_format.lower()}", concat_img)
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if not success:
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raise HuyaVerificationError("点选验证码图片编码失败")
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return buffer.tobytes()
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@staticmethod
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def _remove_black_borders(image: Image.Image) -> tuple[Image.Image, int]:
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if image.mode != "RGBA":
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image = image.convert("RGBA")
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bbox = image.getbbox()
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if not bbox:
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return image, 0
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cropped_height = bbox[3] - bbox[1]
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black_border_height = image.height - cropped_height
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return image.crop(bbox), black_border_height
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@classmethod
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def _composite_slider_images(
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cls, bg_bytes: bytes, tip_bytes: bytes, y_position: int
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) -> bytes:
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bg = Image.open(io.BytesIO(bg_bytes)).convert("RGB")
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tip = Image.open(io.BytesIO(tip_bytes)).convert("RGBA")
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tip, black_border_height = cls._remove_black_borders(tip)
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adjusted_y = y_position + int(black_border_height / 2) + 1
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bg.paste(tip, (10, adjusted_y), tip)
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output = io.BytesIO()
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bg.save(output, format="PNG")
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return output.getvalue()
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@staticmethod
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def _opencv_slider_x(target_bytes: bytes, background_bytes: bytes) -> int:
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target = cv2.imdecode(
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np.frombuffer(target_bytes, np.uint8), cv2.IMREAD_ANYCOLOR
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)
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background = cv2.imdecode(
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np.frombuffer(background_bytes, np.uint8), cv2.IMREAD_ANYCOLOR
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)
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if target is None or background is None:
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raise HuyaVerificationError("滑块图片解码失败")
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target = cv2.cvtColor(cv2.Canny(target, 100, 200), cv2.COLOR_GRAY2RGB)
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background = cv2.cvtColor(cv2.Canny(background, 100, 200), cv2.COLOR_GRAY2RGB)
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result = cv2.matchTemplate(background, target, cv2.TM_CCOEFF_NORMED)
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_, _, _, max_loc = cv2.minMaxLoc(result)
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return int(max_loc[0])
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def _request_json(self, method: str, url: str, **kwargs) -> dict:
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response = self.session.request(method, url, timeout=self.timeout, **kwargs)
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response.raise_for_status()
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try:
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return response.json()
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except json.JSONDecodeError as exc:
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raise HuyaVerificationError(
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f"虎牙验证接口返回不是 JSON: {response.text[:200]}"
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) from exc
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def _compile_js(self, dx_js: str) -> None:
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js_data = """
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window = globalThis;
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$$self_js$$
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function get_regoin_arr(segment, huyapk) {
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return JSON.parse(atob(window.UdbCipher.decrypt(segment, huyapk))).ord
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}
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function get_act(act_data, huyapk) {
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act_data = encodeURI(JSON.stringify(act_data))
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return window.UdbCipher.encrypt(btoa(act_data), huyapk)
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}
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"""
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self.js_ctx = execjs.compile(js_data.replace("$$self_js$$", dx_js))
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def _build_common_payload(
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self, extra: dict, info_override: str | None = None
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) -> dict:
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payload = {
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"urlParamMap": self.url_param_map,
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"wupData": "",
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"page": self.page_url,
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"behavior": self._encode_behavior(),
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"info": info_override if info_override is not None else self.sdid,
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}
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payload.update(extra)
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return {"appId": self.app_id, "data": payload}
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def _csid(self) -> str:
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"""App WebView 场景 get3 使用 csid_ 前缀会话 id。"""
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return f"csid_{uuid.uuid4().hex}"
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def _pointer_action(self, action: str) -> str:
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"""web 用 mouse 事件，App WebView 场景用 touch 事件。"""
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if not self.use_touch_events:
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return action
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return {
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"mousedown": "touchstart",
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"mousemove": "touchmove",
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"mouseup": "touchend",
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}.get(action, action)
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def _encode_behavior(self) -> str:
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"""编码浏览器行为，失败重试时会携带前一次点击记录。"""
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return quote(
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json.dumps(self.behavior_events, separators=(",", ":")), safe="~()*!.'"
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)
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@staticmethod
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def _extract_strategy_url(challenge_payload: dict | str) -> str:
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"""兼容完整响应、data 子对象、data URL 字符串三种输入。"""
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if isinstance(challenge_payload, str):
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return challenge_payload
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data = challenge_payload.get("data")
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if isinstance(data, str) and data.startswith("http"):
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return data
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if isinstance(data, str):
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try:
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data = json.loads(data)
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except json.JSONDecodeError:
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data = {}
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strategy_root = data if isinstance(data, dict) else challenge_payload
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try:
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return strategy_root["strategys"][0]["data"]
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except (KeyError, IndexError, TypeError) as exc:
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raise HuyaVerificationError("虎牙响应中没有 strategys[0].data") from exc
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def _parse_strategy(self, challenge_payload: dict | str) -> None:
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strategy_url = self._extract_strategy_url(challenge_payload)
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query_params = parse_qs(urlparse(strategy_url).query)
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self.url_param_map = {key: value[0] for key, value in query_params.items()}
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self.scene_type = self.url_param_map.get("sceneType", "")
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self.strategy_url = strategy_url
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if not self.url_param_map.get("param"):
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raise HuyaVerificationError("虎牙验证链接缺少 param")
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logger.debug(
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"虎牙验证参数: sceneType={}, mobile={}, param长度={}",
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self.scene_type,
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self.url_param_map.get("mobile", ""),
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len(self.url_param_map.get("param", "")),
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)
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strategies = []
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if isinstance(challenge_payload, dict):
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strategies = (challenge_payload.get("data") or {}).get("strategys") or []
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if strategies:
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try:
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logger.warning(
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"虎牙登录风控strategys完整结构: {}",
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json.dumps(strategies, ensure_ascii=False)[:1200],
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)
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except Exception as exc: # noqa: BLE001
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logger.debug(f"风控策略日志序列化失败: {exc}")
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strategy_url_lower = strategy_url.lower()
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# 判定依据是 URL 路径，不是 strategy 数值。
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# 实测(2026-08-25): strategy=64 时 pt_auth.html 是滑块、qr_auth.html 才是扫码，
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# 旧的 `strategy==64 → 扫码` 硬编码会把可自动化的滑块误杀成死路。
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is_qr_auth = "qr_auth" in strategy_url_lower
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if is_qr_auth and "dx_auth" not in strategy_url_lower:
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raise HuyaQrAuthRequiredError(
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"虎牙风控要求扫码验证(qr_auth)，需已登录App设备确认，"
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f"账号: {self.url_param_map.get('mobile', '?')}"
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)
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if "dx_auth" in strategy_url_lower:
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raise HuyaSmsAuthRequiredError(
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challenge_payload,
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f"虎牙风控要求短信验证(dx_auth)，手机号: {self.url_param_map.get('mobile', '?')}",
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)
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self.behavior_events = []
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def _restore_slider_background(
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self, bg_bytes: bytes, segment: str, huyapk: str
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) -> bytes:
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recover_list = self.js_ctx.call("get_regoin_arr", segment, huyapk)
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image = Image.open(io.BytesIO(bg_bytes)).convert("RGB")
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width, height = image.size
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captcha = Image.new("RGB", (width, height))
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for index, region_index in enumerate(recover_list):
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region = image.crop((region_index * 26, 0, region_index * 26 + 26, 180))
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captcha.paste(region, (index * 26, 0, index * 26 + 26, 180))
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output = io.BytesIO()
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captcha.save(output, format="JPEG")
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return output.getvalue()
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def _get_track_point(self, url: str, payload: dict):
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logger.debug("虎牙验证获取图片: {}", url)
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result = self._request_json("post", url, json=payload)
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if result.get("returnCode") != 0 or not result.get("data", {}).get("code"):
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raise HuyaVerificationError(f"获取验证码图片失败: {result}")
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data = result["data"]
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self.code = data["code"]
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self.huyapk = data["huyapk"]
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segment = data.get("segment")
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if segment:
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logger.info("虎牙验证类型: 滑块")
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bg_bytes = self._decode_image(data.get("dtuStr"))
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tip_bytes = self._decode_image(data.get("puzzleStr"))
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restored_bg = self._restore_slider_background(
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bg_bytes, segment, self.huyapk
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)
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composite = self._composite_slider_images(
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restored_bg, tip_bytes, int(data.get("location_y") or 0)
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)
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slider_box = self.ocr.ocr_slider_box(composite)
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yolo_x = int(slider_box[0] - 13)
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opencv_x = self._opencv_slider_x(tip_bytes, restored_bg)
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if abs(opencv_x - yolo_x) < 10:
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logger.debug("虎牙滑块识别距离: yolo={}, opencv={}", yolo_x, opencv_x)
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return int((opencv_x + yolo_x) / 2)
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logger.debug(
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"虎牙滑块识别距离: yolo={}, opencv={}, 使用yolo", yolo_x, opencv_x
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)
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return yolo_x
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logger.info("虎牙验证类型: 点选")
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bg_bytes = self._decode_image(data.get("dTuStr"))
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tip_bytes = self._decode_image(data.get("hZiStr"))
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merged = self._vertical_concat_align_left(bg_bytes, tip_bytes)
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points = self.ocr.ocr_click_points(merged)
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return [[int(x), int(y) - 44] for x, y in points]
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def _send_slider_verify(self, url: str, point: int) -> dict:
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track_points = generate_slide_track(point)
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act_data = {
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"point": int(point),
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"travel": format_track(track_points),
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"code": self.code,
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"sceneType": self.scene_type,
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"endTime": int(track_points[-1][-1]) - int(track_points[0][-1]),
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}
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act = self.js_ctx.call("get_act", act_data, self.huyapk)
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self.behavior_events.append(
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{
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"action": self._pointer_action("mousedown"),
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"id": "",
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"txt": "",
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"clientX": track_points[0][0],
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"clientY": track_points[0][1],
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"clientWidth": 350,
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"clientHeight": 268,
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"isTrusted": True,
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"timeStamp": random.randint(1800, 5500),
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"nowTime": int(time.time() * 1000),
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}
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)
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payload = self._build_common_payload({"act": act, "ver": 5})
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return self._submit_verify(url, payload)
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def _send_click_verify(self, url: str, points: list[list[int]]) -> dict:
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if not points:
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raise HuyaVerificationError("点选坐标识别为空")
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start_time = int(time.time() * 1000) - random.randint(5000, 10000)
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click_data = []
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current_time = start_time
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for point in points:
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current_time += random.randint(1000, 2000)
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click_data.append([int(point[0]), int(point[1]), current_time])
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interval_time_list = [item[-1] for item in click_data]
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act_data = {
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"clickData": ",".join(f"{x}_{y}" for x, y in points),
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"intervalTime": "_".join(map(str, interval_time_list)),
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"endTime": interval_time_list[-1] - interval_time_list[0],
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"sceneType": self.scene_type,
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"code": self.code,
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}
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act = self.js_ctx.call("get_act", act_data, self.huyapk)
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txt_list = ["", "1", "1\\n2"]
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behavior_list = []
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for index, item in enumerate(click_data):
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behavior_list.append(
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{
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"action": self._pointer_action("mousedown"),
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"id": "",
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"txt": txt_list[index] if index < len(txt_list) else "",
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"clientX": item[0],
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"clientY": item[1],
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"clientWidth": 350,
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"clientHeight": 268,
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"isTrusted": True,
|
|
"timeStamp": random.randint(2000, 5000),
|
|
"nowTime": item[2],
|
|
}
|
|
)
|
|
|
|
self.behavior_events.extend(behavior_list)
|
|
payload = self._build_common_payload({"act": act, "ver": 5})
|
|
return self._submit_verify(url, payload)
|
|
|
|
def _submit_verify(self, url: str, payload: dict) -> dict:
|
|
logger.debug("虎牙验证提交: {}", url)
|
|
body = json.dumps(payload, separators=(",", ":"))
|
|
result = self._request_json("post", url, params={"lock": "true"}, data=body)
|
|
data = result.get("data") or result
|
|
if isinstance(data, dict):
|
|
logger.debug(
|
|
"虎牙验证提交结果: authId={}, nextAuthUrl={}",
|
|
bool(data.get("authId")),
|
|
bool(data.get("nextAuthUrl")),
|
|
)
|
|
return data
|
|
|
|
def _solve_current_strategy(self) -> dict:
|
|
"""提交当前 strategy_url 对应的验证。"""
|
|
config_payload = self._build_common_payload({"cTuIndex": 0})
|
|
config = {}
|
|
gurl = ""
|
|
vurl = ""
|
|
dx_js = ""
|
|
for index in range(2):
|
|
logger.debug("虎牙验证获取config3 ({}/2)", index + 1)
|
|
config = self._request_json(
|
|
"post",
|
|
"https://udbrtt.huya.com/auth/client/config3",
|
|
json=config_payload,
|
|
)
|
|
raw_data = config.get("data")
|
|
data = cast(dict[str, Any], raw_data) if isinstance(raw_data, dict) else {}
|
|
gurl = str(data.get("gurl") or "")
|
|
vurl = str(data.get("vurl") or "")
|
|
dx_js = str(data.get("js") or "")
|
|
logger.debug(
|
|
"虎牙config3返回: returnCode={}, desc={}, gurl={}, vurl={}, js长度={}",
|
|
config.get("returnCode"),
|
|
config.get("description") or config.get("message") or "",
|
|
bool(gurl),
|
|
bool(vurl),
|
|
len(dx_js),
|
|
)
|
|
if not (gurl and vurl):
|
|
logger.warning(
|
|
"虎牙config3未下发验证会话, 完整响应: {}",
|
|
json.dumps(config, ensure_ascii=False)[:1500],
|
|
)
|
|
if gurl and vurl and dx_js:
|
|
break
|
|
if index == 0 and self.url_param_map.get("sceneType") != "4":
|
|
self.url_param_map["sceneType"] = "4"
|
|
self.scene_type = "4"
|
|
config_payload = self._build_common_payload({"cTuIndex": 0})
|
|
logger.debug("虎牙config3取参不完整，改用旧流程sceneType=4重试")
|
|
time.sleep(0.3)
|
|
|
|
if not gurl or not vurl or not dx_js:
|
|
data_summary = {
|
|
k: str(v)[:80] for k, v in (data or {}).items() if k != "js"
|
|
}
|
|
raise HuyaNoSessionError(
|
|
"config3未下发验证会话: "
|
|
f"returnCode={config.get('returnCode')}, "
|
|
f"description={config.get('description') or config.get('message') or ''}, "
|
|
f"gurl={bool(gurl)}, vurl={bool(vurl)}, js={bool(dx_js)}, "
|
|
f"data={json.dumps(data_summary, ensure_ascii=False)[:600]}"
|
|
)
|
|
|
|
self._compile_js(dx_js)
|
|
point_payload = self._build_common_payload(
|
|
{"ver": 5}, info_override=self._csid() if self.use_touch_events else None
|
|
)
|
|
last_result: dict = {}
|
|
for index in range(3):
|
|
if index:
|
|
time.sleep(0.4)
|
|
point_payload = self._build_common_payload(
|
|
{"ver": 5},
|
|
info_override=self._csid() if self.use_touch_events else None,
|
|
)
|
|
logger.info("虎牙验证失败后重试: {}/3", index + 1)
|
|
|
|
point = self._get_track_point(gurl, point_payload)
|
|
logger.debug(f"虎牙验证识别结果: {point}")
|
|
if isinstance(point, list):
|
|
last_result = self._send_click_verify(vurl, point)
|
|
else:
|
|
last_result = self._send_slider_verify(vurl, int(point))
|
|
|
|
if isinstance(last_result, dict) and (
|
|
last_result.get("authId") or last_result.get("nextAuthUrl")
|
|
):
|
|
return last_result
|
|
|
|
logger.info(
|
|
"虎牙验证提交未通过: returnCode={}, message={} ({}/3)",
|
|
last_result.get("returnCode") if isinstance(last_result, dict) else "",
|
|
last_result.get("message") if isinstance(last_result, dict) else "",
|
|
index + 1,
|
|
)
|
|
|
|
return last_result
|
|
|
|
def solve(self, challenge_payload: dict | str) -> dict:
|
|
"""提交虎牙风控验证，返回 vurl 响应中的 data。"""
|
|
self._parse_strategy(challenge_payload)
|
|
result = self._solve_current_strategy()
|
|
|
|
next_auth_url = result.get("nextAuthUrl") if isinstance(result, dict) else None
|
|
if next_auth_url:
|
|
logger.info("虎牙滑块后继续点选验证")
|
|
self._parse_strategy(next_auth_url)
|
|
result = self._solve_current_strategy()
|
|
return result
|
|
|
|
|
|
def solve_huya_verification(
|
|
challenge_payload: dict | str,
|
|
cookie: Mapping[str, str] | str | None = None,
|
|
ua: str = DEFAULT_UA,
|
|
sdid: str = "",
|
|
session: requests.Session | None = None,
|
|
proxies: Mapping[str, str] | None = None,
|
|
app_id: str = "5002",
|
|
page_url: str | None = None,
|
|
use_touch_events: bool = False,
|
|
) -> dict:
|
|
"""函数式入口，便于登录流程直接调用。"""
|
|
solver = HuyaVerificationSolver(
|
|
cookie=cookie,
|
|
ua=ua,
|
|
sdid=sdid,
|
|
session=session,
|
|
proxies=proxies,
|
|
app_id=app_id,
|
|
page_url=page_url,
|
|
use_touch_events=use_touch_events,
|
|
)
|
|
return solver.solve(challenge_payload)
|