XTQuantAI
by dfkai
#!/usr/bin/env python
"""
清除缓存并运行xtquantai
"""
import os
import shutil
import subprocess
import sys
def clear_cache():
"""清除uv缓存"""
cache_dir = os.path.expanduser("~/.local/share/uv")
if os.path.exists(cache_dir):
print(f"清除缓存目录: {cache_dir}")
shutil.rmtree(cache_dir, ignore_errors=True)
cache_dir = os.path.expanduser("~/.cache/uv")
if os.path.exists(cache_dir):
print(f"清除缓存目录: {cache_dir}")
shutil.rmtree(cache_dir, ignore_errors=True)
cache_dir = os.path.expanduser("~/AppData/Local/uv/cache")
if os.path.exists(cache_dir):
print(f"清除缓存目录: {cache_dir}")
shutil.rmtree(cache_dir, ignore_errors=True)
def install_dependencies():
"""安装依赖"""
print("安装anyio模块...")
try:
# 尝试使用uv安装
subprocess.run(["uv", "pip", "install", "anyio"], check=True)
except (subprocess.CalledProcessError, FileNotFoundError):
try:
# 如果uv不可用，尝试使用pip
subprocess.run([sys.executable, "-m", "pip", "install", "anyio"], check=True)
except subprocess.CalledProcessError:
print("警告: 无法安装anyio模块，某些功能可能无法正常工作")
print("安装xtquantai包...")
try:
# 尝试使用uv安装
subprocess.run(["uv", "pip", "install", "-e", "."], check=True)
except (subprocess.CalledProcessError, FileNotFoundError):
try:
# 如果uv不可用，尝试使用pip
subprocess.run([sys.executable, "-m", "pip", "install", "-e", "."], check=True)
except subprocess.CalledProcessError:
print("警告: 无法安装xtquantai包，某些功能可能无法正常工作")
def run_xtquantai():
"""运行xtquantai"""
print("运行xtquantai...")
# 添加当前目录到Python路径
sys.path.insert(0, os.path.abspath('.'))
# 清除可能的缓存
import importlib
try:
import xtquantai
importlib.reload(xtquantai)
# 运行xtquantai
xtquantai.main()
except ImportError:
print("错误: 无法导入xtquantai模块")
except Exception as e:
print(f"错误: {str(e)}")
if __name__ == "__main__":
clear_cache()
install_dependencies()
run_xtquantai()