v1.0: 重写核心代码，清理空壳脚本

- 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

scripts/captcha_solver.py

@@ -0,0 +1,160 @@
+# coding: utf-8
+"""
+验证码处理模块
+支持：图像验证码、滑块验证码
+依赖：Pillow (PIL)
+"""
+
+import io
+import logging
+from dataclasses import dataclass
+from enum import Enum, auto
+from typing import Optional, Tuple
+
+from selenium.webdriver.common.by import By
+from selenium.webdriver.remote.webelement import WebElement
+
+logger = logging.getLogger("damai.captcha")
+
+
+class CaptchaType(Enum):
+    NONE = auto()
+    IMAGE = auto()       # 图形验证码
+    SLIDER = auto()      # 滑块验证码
+    CLICK = auto()       # 点选验证码
+    UNKNOWN = auto()
+
+
+@dataclass
+class CaptchaResult:
+    success: bool
+    captcha_type: CaptchaType
+    message: str = ""
+
+
+def detect_captcha(driver) -> CaptchaType:
+    """检测当前页面是否存在验证码"""
+    # 检测滑块
+    slider_selectors = [
+        ".captcha-slider",
+        ".slide-verify",
+        "[class*='slider']",
+        ".nc-lang-cn",  # 阿里云盾滑块
+    ]
+    for sel in slider_selectors:
+        try:
+            driver.find_element(By.CSS_SELECTOR, sel)
+            logger.info(f"检测到滑块验证码: {sel}")
+            return CaptchaType.SLIDER
+        except Exception:
+            continue
+
+    # 检测图形验证码
+    image_selectors = [
+        ".captcha-img",
+        "img[src*='captcha']",
+        "img[src*='verify']",
+        "#captcha_img",
+    ]
+    for sel in image_selectors:
+        try:
+            driver.find_element(By.CSS_SELECTOR, sel)
+            logger.info(f"检测到图形验证码: {sel}")
+            return CaptchaType.IMAGE
+        except Exception:
+            continue
+
+    # 检测弹窗中是否有验证码关键词
+    try:
+        page_source = driver.page_source.lower()
+        if "captcha" in page_source or "验证码" in page_source:
+            return CaptchaType.UNKNOWN
+    except Exception:
+        pass
+
+    return CaptchaType.NONE
+
+
+def solve_slider(driver, slider_element: Optional[WebElement] = None) -> CaptchaResult:
+    """
+    处理滑块验证码
+    简单实现：拖动滑块从左到右
+    更精确的方案需要图像处理来识别缺口位置
+    """
+    from selenium.webdriver.common.action_chains import ActionChains
+
+    selectors = [
+        ".captcha-slider .slide-btn",
+        ".slide-verify-slider-mask-item",
+        ".nc-lang-cn .btn_slide",
+        "[class*='slider'] [class*='btn']",
+    ]
+
+    slider = slider_element
+    if not slider:
+        for sel in selectors:
+            try:
+                slider = driver.find_element(By.CSS_SELECTOR, sel)
+                break
+            except Exception:
+                continue
+
+    if not slider:
+        return CaptchaResult(False, CaptchaType.SLIDER, "找不到滑块元素")
+
+    try:
+        # 获取滑块轨道宽度
+        track = slider.find_element(By.XPATH, "..")
+        track_width = track.size["width"]
+        slider_width = slider.size["width"]
+        distance = track_width - slider_width
+
+        if distance <= 0:
+            distance = 300  # fallback
+
+        actions = ActionChains(driver)
+        actions.click_and_hold(slider)
+        actions.pause(0.1)
+
+        # 模拟人类拖动：分段加速减速
+        steps = 20
+        for i in range(steps):
+            progress = (i + 1) / steps
+            # 加速-减速曲线
+            if progress < 0.3:
+                offset = distance * progress * 0.5
+            elif progress < 0.7:
+                offset = distance * progress
+            else:
+                offset = distance * progress * 0.95
+            move = int(offset - (distance * (i / steps) if i > 0 else 0))
+            actions.move_by_offset(move, 0)
+            actions.pause(0.02)
+
+        actions.release()
+        actions.perform()
+
+        logger.info("滑块拖动完成")
+        return CaptchaResult(True, CaptchaType.SLIDER)
+
+    except Exception as e:
+        logger.error(f"滑块处理失败: {e}")
+        return CaptchaResult(False, CaptchaType.SLIDER, str(e))
+
+
+def handle_captcha(driver) -> CaptchaResult:
+    """自动检测并处理验证码"""
+    captcha_type = detect_captcha(driver)
+
+    if captcha_type == CaptchaType.NONE:
+        return CaptchaResult(True, CaptchaType.NONE)
+
+    if captcha_type == CaptchaType.SLIDER:
+        return solve_slider(driver)
+
+    if captcha_type == CaptchaType.IMAGE:
+        logger.warning("图形验证码需要人工处理或接入 OCR 服务")
+        return CaptchaResult(False, CaptchaType.IMAGE, "需要人工处理")
+
+    logger.warning(f"未知验证码类型，需要人工处理")
+    return CaptchaResult(False, captcha_type, "未知类型")