Todo: 集成多平台 解决因SaiNiu线程抢占资源问题 本地提交测试环境打包 和 正式打包脚本与正式环境打包bat 提交Python32环境包 改进多日志文件生成情况修改打包日志细节
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101
Utils/PythonNew32/dll_loader.py
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101
Utils/PythonNew32/dll_loader.py
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import ctypes
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import hashlib
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import time
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import json
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import sys
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import os
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# 强制刷新输出缓冲区
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sys.stdout.reconfigure(line_buffering=True)
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sys.stderr.reconfigure(line_buffering=True)
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# 创建日志文件
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log_file = open("dll_startup.log", "w", encoding="utf-8")
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def log_print(msg):
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"""同时输出到控制台和日志文件"""
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print(msg)
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log_file.write(msg + "\n")
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log_file.flush()
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sys.stdout.flush()
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log_print("=== SaiNiu DLL 启动脚本开始 ===")
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log_print(f"Python版本: {sys.version}")
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log_print(f"当前工作目录: {os.getcwd()}")
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log_print(f"时间戳: {time.strftime('%Y-%m-%d %H:%M:%S')}")
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try:
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log_print("正在加载 SaiNiuApi.dll...")
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# 加载DLL文件
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sainiu_api = ctypes.CDLL('SaiNiuApi.dll')
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log_print("[OK] SaiNiuApi.dll 加载成功")
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# 定义函数参数类型和返回值类型
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sainiu_api.Access_ServerStart.argtypes = [
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ctypes.c_int,
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ctypes.c_bool,
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ctypes.c_bool,
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ctypes.c_bool,
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ctypes.c_bool,
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ctypes.c_int,
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ctypes.c_char_p,
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ctypes.c_bool,
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ctypes.c_bool
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]
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sainiu_api.Access_ServerStart.restype = ctypes.c_char_p
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log_print("[OK] DLL函数类型定义完成")
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# 调用函数时传入的参数
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port = 3030
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web_socket = True
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http_server = True
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remote = False
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log = True
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ws_max = 0
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sign_key = b''
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sha256 = True
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version_tip = True
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log_print(f"正在启动服务器 - 端口: {port}")
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# 启动服务器
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result = sainiu_api.Access_ServerStart(
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port,
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web_socket,
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http_server,
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remote,
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log,
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ws_max,
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sign_key,
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sha256,
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version_tip
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)
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# 解码并打印结果
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try:
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result_str = result.decode('gbk')
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log_print(f"[OK] Access_ServerStart 服务器启动结果: {result_str}")
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except UnicodeDecodeError:
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log_print(f"[OK] Access_ServerStart 服务器启动结果: {result}")
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log_print("=== DLL服务启动完成,进入监控模式 ===")
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# 保持进程运行
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try:
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heartbeat_count = 0
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while True:
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time.sleep(5)
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heartbeat_count += 1
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log_print(f"[HEARTBEAT] DLL服务心跳 #{heartbeat_count} - 服务正常运行中...")
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except KeyboardInterrupt:
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log_print("收到中断信号,正在停止服务...")
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except Exception as e:
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log_print(f"[ERROR] DLL启动失败: {e}")
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import traceback
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error_trace = traceback.format_exc()
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log_print(f"错误详情: {error_trace}")
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log_file.close()
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sys.exit(1)
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finally:
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if 'log_file' in locals():
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log_file.close()
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