8c4c5074f2
- 将 process.py 替换为 OpenClaw Gateway QQ AI Reply 插件 - 新增 config/openclawbridge/config.toml（SDK 标准路径） - 遵循 SDK 官方配置方式，移除硬编码默认值 - 内置高危词检测、管理员白名单、MC指令过滤 - 完善的 README.md 文档（使用说明+架构图+安全特性） - packup.sh 增加『必须在目标主机打包』警告 - 保留 SDK 框架文件（plugin_modules.py, file_store_api.py 等） - 更新 test.py 适配 openclaw_bridge 测试 注意：打包必须在目标主机执行，避免 C 扩展兼容性问题
61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
"""
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测试框架 — 模拟 qqrebot 环境测试 openclaw_bridge 插件
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"""
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import os
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import sys
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import logging
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from pathlib import Path
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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)
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# 模拟 qqrebot 插件加载路径
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sys.path.insert(0, str(Path(__file__).parent))
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from src.modules.plugin_modules import MessageContext
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from src.process import OpenClawBridge
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class OpenclawBridgeTest:
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def __init__(self):
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self.test_simulate_chat()
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def test_simulate_chat(self):
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"""模拟接收到 QQ 消息"""
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print("=" * 60)
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print("OpenClawBridge 插件测试")
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print("=" * 60)
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# 模拟群聊消息上下文
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mock_ctx = MessageContext(
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uid="2198972886",
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gid="12345678",
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raw_message="你好",
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id="123456789",
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)
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# 实例化插件（会加载配置并尝试连接 Gateway）
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plugin = OpenClawBridge(mock_ctx)
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print(f"\n配置状态:")
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print(f" gateway_url: {plugin.gateway_url}")
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print(f" allowed_sender: {plugin.allowed_sender}")
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print(f" model: {plugin.model}")
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print(f" agent_id: {plugin.agent_id}")
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if not plugin.gateway_token or plugin.gateway_token == "your_gateway_token_here":
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print("\n⚠️ 配置未修改，请先编辑 config/openclawbridge/config.toml")
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print(" 填入正确的 gateway_token 后再运行测试\n")
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print("\n执行 after_save...")
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result = plugin.after_save()
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print(f"返回: {result}")
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print("=" * 60)
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if __name__ == "__main__":
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OpenclawBridgeTest()
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