b711b98dc8
- 重写 ticket_script.py: 状态机、完整的选票/下单流程、反检测 - 重写 scripts/: 验证码处理、定时调度、NTP校时、多账户管理 - 删除空壳 appium_simulator.py - 清理配置文件中的硬编码密码 - 重写 README，去除虚假宣传
161 lines
4.5 KiB
Python
161 lines
4.5 KiB
Python
# coding: utf-8
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"""
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验证码处理模块
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支持：图像验证码、滑块验证码
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依赖：Pillow (PIL)
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"""
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import io
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import logging
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from dataclasses import dataclass
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from enum import Enum, auto
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from typing import Optional, Tuple
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from selenium.webdriver.common.by import By
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from selenium.webdriver.remote.webelement import WebElement
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logger = logging.getLogger("damai.captcha")
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class CaptchaType(Enum):
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NONE = auto()
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IMAGE = auto() # 图形验证码
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SLIDER = auto() # 滑块验证码
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CLICK = auto() # 点选验证码
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UNKNOWN = auto()
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@dataclass
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class CaptchaResult:
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success: bool
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captcha_type: CaptchaType
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message: str = ""
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def detect_captcha(driver) -> CaptchaType:
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"""检测当前页面是否存在验证码"""
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# 检测滑块
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slider_selectors = [
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".captcha-slider",
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".slide-verify",
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"[class*='slider']",
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".nc-lang-cn", # 阿里云盾滑块
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]
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for sel in slider_selectors:
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try:
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driver.find_element(By.CSS_SELECTOR, sel)
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logger.info(f"检测到滑块验证码: {sel}")
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return CaptchaType.SLIDER
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except Exception:
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continue
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# 检测图形验证码
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image_selectors = [
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".captcha-img",
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"img[src*='captcha']",
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"img[src*='verify']",
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"#captcha_img",
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]
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for sel in image_selectors:
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try:
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driver.find_element(By.CSS_SELECTOR, sel)
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logger.info(f"检测到图形验证码: {sel}")
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return CaptchaType.IMAGE
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except Exception:
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continue
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# 检测弹窗中是否有验证码关键词
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try:
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page_source = driver.page_source.lower()
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if "captcha" in page_source or "验证码" in page_source:
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return CaptchaType.UNKNOWN
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except Exception:
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pass
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return CaptchaType.NONE
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def solve_slider(driver, slider_element: Optional[WebElement] = None) -> CaptchaResult:
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"""
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处理滑块验证码
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简单实现：拖动滑块从左到右
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更精确的方案需要图像处理来识别缺口位置
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"""
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from selenium.webdriver.common.action_chains import ActionChains
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selectors = [
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".captcha-slider .slide-btn",
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".slide-verify-slider-mask-item",
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".nc-lang-cn .btn_slide",
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"[class*='slider'] [class*='btn']",
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]
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slider = slider_element
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if not slider:
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for sel in selectors:
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try:
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slider = driver.find_element(By.CSS_SELECTOR, sel)
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break
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except Exception:
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continue
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if not slider:
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return CaptchaResult(False, CaptchaType.SLIDER, "找不到滑块元素")
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try:
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# 获取滑块轨道宽度
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track = slider.find_element(By.XPATH, "..")
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track_width = track.size["width"]
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slider_width = slider.size["width"]
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distance = track_width - slider_width
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if distance <= 0:
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distance = 300 # fallback
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actions = ActionChains(driver)
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actions.click_and_hold(slider)
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actions.pause(0.1)
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# 模拟人类拖动：分段加速减速
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steps = 20
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for i in range(steps):
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progress = (i + 1) / steps
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# 加速-减速曲线
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if progress < 0.3:
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offset = distance * progress * 0.5
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elif progress < 0.7:
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offset = distance * progress
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else:
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offset = distance * progress * 0.95
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move = int(offset - (distance * (i / steps) if i > 0 else 0))
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actions.move_by_offset(move, 0)
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actions.pause(0.02)
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actions.release()
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actions.perform()
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logger.info("滑块拖动完成")
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return CaptchaResult(True, CaptchaType.SLIDER)
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except Exception as e:
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logger.error(f"滑块处理失败: {e}")
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return CaptchaResult(False, CaptchaType.SLIDER, str(e))
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def handle_captcha(driver) -> CaptchaResult:
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"""自动检测并处理验证码"""
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captcha_type = detect_captcha(driver)
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if captcha_type == CaptchaType.NONE:
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return CaptchaResult(True, CaptchaType.NONE)
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if captcha_type == CaptchaType.SLIDER:
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return solve_slider(driver)
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if captcha_type == CaptchaType.IMAGE:
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logger.warning("图形验证码需要人工处理或接入 OCR 服务")
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return CaptchaResult(False, CaptchaType.IMAGE, "需要人工处理")
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logger.warning(f"未知验证码类型，需要人工处理")
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return CaptchaResult(False, captcha_type, "未知类型")
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