feat: 添加 Windows 兼容性支持，优化设备选择逻辑

- start_system.py: 跨平台进程管理
  - Windows 使用 CREATE_NEW_PROCESS_GROUP 和 terminate()
  - Unix 使用 setsid 和 killpg
  - 自动检测并启用 Windows ANSI 颜色支持

- 设备选择逻辑优化：
  - macOS: 优先使用 MPS，回退到 CPU
  - Windows/Linux: 强制使用 CPU（无 CUDA 依赖）

- 影响文件：
  - api/prediction_service.py
  - auto_trade_polymarket.py
  - training/config.py

api/prediction_service.py

@@ -87,12 +87,18 @@ class PredictionService:
     
     def __init__(self):
         import threading
+        import platform
         # 初始化锁
         if PredictionService._prediction_lock is None:
             PredictionService._prediction_lock = threading.Lock()
         
-        self.device = torch.device('mps' if torch.backends.mps.is_available() else 
+        # 设备选择：macOS 用 MPS，Windows/Linux 用 CPU
-                                   'cuda' if torch.cuda.is_available() else 'cpu')
+        if platform.system() == 'Darwin':  # macOS
+            self.device = torch.device('mps' if torch.backends.mps.is_available() else 'cpu')
+        else:  # Windows / Linux
+            self.device = torch.device('cpu')
+        print(f"使用设备: {self.device}")
+        
         self.et_tz = ZoneInfo('America/New_York')
         self.fetcher = BinanceDataFetcher()
         

auto_trade_polymarket.py

@@ -175,9 +175,13 @@ class PolymarketBTCTrader:
             headers={'Accept-Encoding': 'identity'}
         )
         
-        # 设备
+        # 设备选择：macOS 用 MPS，Windows/Linux 用 CPU
-        self.device = torch.device('mps' if torch.backends.mps.is_available() else 
+        import platform
-                                   'cuda' if torch.cuda.is_available() else 'cpu')
+        if platform.system() == 'Darwin':  # macOS
+            self.device = torch.device('mps' if torch.backends.mps.is_available() else 'cpu')
+        else:  # Windows / Linux
+            self.device = torch.device('cpu')
+        print(f"使用设备: {self.device}")
         
         # 加载模型
         self.model = None

start_system.py

@@ -4,34 +4,66 @@
 同时启动：
 1. FastAPI 后端服务 (提供前端看板 API)
 2. Polymarket 自动交易程序
+
+支持平台：macOS, Linux, Windows
 """
 import subprocess
 import sys
 import time
 import signal
 import os
+import platform
 from datetime import datetime
 
-# 颜色代码
+# 检测操作系统
-GREEN = '\033[92m'
+IS_WINDOWS = platform.system() == 'Windows'
-YELLOW = '\033[93m'
+
-RED = '\033[91m'
+# 颜色代码 (Windows CMD 默认不支持 ANSI，但现代 Windows Terminal 支持)
-RESET = '\033[0m'
+if IS_WINDOWS:
+    # 尝试启用 Windows ANSI 支持
+    try:
+        import ctypes
+        kernel32 = ctypes.windll.kernel32
+        kernel32.SetConsoleMode(kernel32.GetStdHandle(-11), 7)
+        ANSI_SUPPORTED = True
+    except Exception:
+        ANSI_SUPPORTED = False
+else:
+    ANSI_SUPPORTED = True
+
+if ANSI_SUPPORTED:
+    GREEN = '\033[92m'
+    YELLOW = '\033[93m'
+    RED = '\033[91m'
+    RESET = '\033[0m'
+else:
+    GREEN = YELLOW = RED = RESET = ''
 
 def log(message, color=RESET):
     timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
     print(f"{color}[{timestamp}] {message}{RESET}")
 
 def start_process(command, name):
-    """启动子进程"""
+    """启动子进程（跨平台兼容）"""
     log(f"正在启动 {name}...", YELLOW)
     try:
+        if IS_WINDOWS:
+            # Windows: 不使用 preexec_fn，使用 CREATE_NEW_PROCESS_GROUP
             process = subprocess.Popen(
                 command,
                 shell=True,
                 stdout=sys.stdout,
                 stderr=sys.stderr,
-            preexec_fn=os.setsid  # 创建新的进程组，方便统一杀掉
+                creationflags=subprocess.CREATE_NEW_PROCESS_GROUP
+            )
+        else:
+            # macOS / Linux: 使用 setsid 创建新进程组
+            process = subprocess.Popen(
+                command,
+                shell=True,
+                stdout=sys.stdout,
+                stderr=sys.stderr,
+                preexec_fn=os.setsid
             )
         log(f"{name} 已启动 (PID: {process.pid})", GREEN)
         return process
@@ -39,6 +71,26 @@ def start_process(command, name):
         log(f"启动 {name} 失败: {e}", RED)
         return None
 
+def terminate_process(process, name):
+    """终止进程（跨平台兼容）"""
+    if process is None:
+        return
+    try:
+        if IS_WINDOWS:
+            # Windows: 使用 terminate() 或发送 CTRL_BREAK_EVENT
+            process.terminate()
+        else:
+            # macOS / Linux: 终止整个进程组
+            os.killpg(os.getpgid(process.pid), signal.SIGTERM)
+        log(f"{name} 已停止", GREEN)
+    except Exception as e:
+        log(f"停止 {name} 时出错: {e}", RED)
+        # 强制杀死
+        try:
+            process.kill()
+        except Exception:
+            pass
+
 def main():
     # 激活 Conda 环境
     # 注意：在子进程中直接使用当前已激活的 python 解释器路径，避免 conda activate 问题
@@ -64,10 +116,10 @@ def main():
     try:
         # 监控子进程状态
         while True:
-            if api_process.poll() is not None:
+            if api_process and api_process.poll() is not None:
                 log("API 服务意外退出", RED)
                 break
-            if trade_process.poll() is not None:
+            if trade_process and trade_process.poll() is not None:
                 log("自动交易程序意外退出", RED)
                 break
             time.sleep(1)
@@ -76,10 +128,8 @@ def main():
         log("\n正在停止服务...", YELLOW)
     finally:
         # 优雅退出
-        if api_process:
+        terminate_process(api_process, "API 服务")
-            os.killpg(os.getpgid(api_process.pid), signal.SIGTERM)
+        terminate_process(trade_process, "自动交易程序")
-        if trade_process:
-            os.killpg(os.getpgid(trade_process.pid), signal.SIGTERM)
         
         log("所有服务已停止", GREEN)
 

training/config.py

@@ -38,19 +38,24 @@ class TrainingConfig:
 
         Returns:
             Device string ('mps', 'cuda', or 'cpu')
+        
+        Note:
+            macOS 使用 MPS，Windows/Linux 使用 CPU
         """
         import torch
+        import platform
 
         if self.device != 'auto':
             return self.device
 
-        # Auto-detect best available device
+        # 根据操作系统选择设备：macOS 用 MPS，Windows/Linux 用 CPU
+        if platform.system() == 'Darwin':  # macOS
             if torch.backends.mps.is_available():
                 return 'mps'
-        elif torch.cuda.is_available():
-            return 'cuda'
             else:
                 return 'cpu'
+        else:  # Windows / Linux
+            return 'cpu'
 
 
 if __name__ == "__main__":