This commit is contained in:
sontolau 2026-06-06 16:42:07 +08:00
parent 09aea3a693
commit 246b2a485f
25 changed files with 283 additions and 2110 deletions

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@ -8,9 +8,9 @@ import time
from dataclasses import dataclass, field
from typing import Any
from config.settings import settings
from mcp.skill_registry import DispatchResult, SkillRegistry
from utils.logger import get_logger
from agent.config.settings import settings
from agent.mcp.skill_registry import DispatchResult, SkillRegistry
from agent.utils.logger import get_logger
logger = get_logger("Agent")
@ -210,14 +210,6 @@ class Agent:
可用工具如下:
{tools}
请严格按照以下格式进行回应:
Thought: 你的思考过程用于分析问题拆解任务和规划下一步行动
Action: 你决定采取的行动必须是以下格式之一:
- `{{tool_name}}[{{tool_input}}]`:调用一个可用工具
- `Finish[最终答案]`:当你认为已经获得最终答案时
- 当你收集到足够的信息能够回答用户的最终问题时你必须在Action:字段后使用 Finish[最终答案] 来输出最终答案
"""
def __init__(
@ -380,7 +372,7 @@ class Agent:
# ── 消息构造 ──────────────────────────────────────────────
def _build_messages(self, tools, history: list[Message]) -> list[dict]:
prompt = self.system_prompt.format(tools="\n".join(f"{tool['name']}: {tool['description']}" for tool in tools))
prompt = self.system_prompt
messages = [{"role": "system", "content":prompt}]
messages += [m.to_api_dict() for m in history]
return messages
@ -404,7 +396,7 @@ class Agent:
# Demo 入口
# ════════════════════════════════════════════════════════════════
def create_agent() -> tuple[Agent, SkillRegistry]:
def create_agent(agent_prompt=None) -> tuple[Agent, SkillRegistry]:
"""
工厂函数创建并初始化 Agent + SkillRegistry
@ -416,7 +408,7 @@ def create_agent() -> tuple[Agent, SkillRegistry]:
registry.load_local_tools()
# 连接在线 MCP Skill来自 config.yaml mcp_skills
registry.connect_mcp_skills()
agent = Agent(registry)
agent = Agent(registry, system_prompt=agent_prompt)
return agent, registry

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@ -8,16 +8,14 @@ client/agent_client.py
import json
import uuid
from dataclasses import dataclass, field
from config.settings import settings
from llm.llm_engine import LLMEngine
from mcp.mcp_protocol import (
from agent.llm.llm_engine import LLMEngine
from agent.mcp.mcp_protocol import (
ChainPlan, ChainResult, MCPRequest, MCPResponse,
StepResult, ToolStep,
)
from mcp.mcp_server import MCPServer
from memory.memory_store import MemoryStore
from utils.logger import get_logger
from agent.mcp.mcp_server import MCPServer
from agent.memory.memory_store import MemoryStore
from agent.utils.logger import get_logger
@dataclass

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@ -1,170 +0,0 @@
# ════════════════════════════════════════════════════════════════
# config/config.yaml — Agent 系统全局配置文件
# ════════════════════════════════════════════════════════════════
# ── LLM 模型配置 ───────────────────────────────────────────────
llm:
provider: "openai"
model_name: "gpt-4o"
api_key: "sk-AUmOuFI731Ty5Nob38jY26d8lydfDT-QkE2giqb0sCuPCAE2JH6zjLM4lZLpvL5WMYPOocaMe2FwVDmqM_9KimmKACjR" # 优先读取环境变量 LLM_API_KEY
api_base_url: "https://openapi.monica.im/v1" # 自定义代理地址,留空使用官方
max_tokens: 4096
temperature: 0.7
timeout: 60
max_retries: 3
function_calling: true
stream: false
model_path: ""
ollama_host: "http://localhost:11434"
database:
type: "sqlite"
url: "sqlite:///skills.db"
skills_directory: "./" # 新增SKILL.md 文件所在目录
# ── 本地 MCP Server 配置 ───────────────────────────────────────
mcp:
server_name: "MCPServer"
transport: "stdio"
host: "localhost"
port: 3000
# 本地注册的工具列表
enabled_tools:
# - calculator
- web_search
# - file_reader
# - code_executor
# ── 在线 MCP Skill 配置 ────────────────────────────────────────
# 每一项代表一个远端 MCP Server其暴露的所有工具将作为 skill 注册到 Agent
mcp_skills:
# 示例一SSE 传输(最常见的在线 MCP Server 形式)
# - name: "everything" # skill 组名称(用于日志/调试)
# enabled: true
# transport: "sse" # sse | http | stdio
# url: "http://localhost:3001/sse"
# # 请求头(可用于 API Key 认证)
# headers:
# Authorization: "" # 优先读取环境变量 MCP_EVERYTHING_TOKEN
# timeout: 30 # 连接超时(秒)
# retry: 2 # 失败重试次数
# # 只暴露指定工具(空列表=全部暴露)
# include_tools: []
# # 排除指定工具
# exclude_tools: []
# 示例二Streamable HTTP 传输
# - name: "remote-tools"
# enabled: false
# transport: "http"
# url: "http://api.example.com/mcp"
# headers:
# Authorization: "Bearer your_token_here"
# X-Client-ID: "agent-demo"
# timeout: 30
# retry: 2
# include_tools: []
# exclude_tools: []
# 示例三stdio 子进程(本地可执行文件作为 MCP Server
# - name: "filesystem"
# enabled: false
# transport: "stdio"
# # stdio 模式使用 command 启动子进程,不需要 url
# command: "npx"
# args:
# - "-y"
# - "@modelcontextprotocol/server-filesystem"
# - "/tmp"
# env:
# NODE_ENV: "production"
# timeout: 30
# retry: 1
# include_tools: []
# exclude_tools: []
- name: "hexstrike-ai"
enabled: true
transport: "stdio"
command: "python3"
args:
- "/Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py"
- "--server"
- "http://localhost:8999"
description: "HexStrike AI v6.0 - Advanced Cybersecurity Automation Platform"
timeout: 300
# 示例四:带鉴权的在线 MCP SaaS 服务
# - name: "brave-search"
# enabled: false
# transport: "sse"
# url: "https://mcp.brave.com/sse"
# headers:
# Authorization: "" # 优先读取环境变量 MCP_BRAVE_SEARCH_TOKEN
# timeout: 20
# retry: 2
# include_tools:
# - "brave_web_search"
# - "brave_local_search"
# exclude_tools: []
# ── 工具配置 ───────────────────────────────────────────────────
tools:
calculator:
precision: 10
web_search:
max_results: 5
timeout: 10
api_key: "7917bef5e46044af5209fdb78518be98be394f3fe763bbce3fbb503280408bd9"
file_reader:
allowed_root: "./workspace"
max_file_size_kb: 512
code_executor:
timeout: 5
sandbox: true
static_analyzer:
default_tool: "cppcheck"
default_std: "c++17"
timeout: 120
jobs: 4
output_format: "summary"
max_issues: 500
allowed_roots: []
tool_extra_args:
cppcheck: "--suppress=missingIncludeSystem --suppress=unmatchedSuppression"
clang-tidy: "--checks=*,-fuchsia-*,-google-*,-zircon-*"
infer: ""
ssh_docker:
default_ssh_port: 22
default_username: "root"
connect_timeout: 30
cmd_timeout: 120
deploy_timeout: 300
default_restart_policy: "unless-stopped"
default_tail_lines: 100
allowed_hosts: []
blocked_images: []
allow_privileged: false
servers: {}
# ── 记忆配置 ───────────────────────────────────────────────────
memory:
max_history: 20
enable_long_term: false
vector_db_url: ""
# ── 日志配置 ───────────────────────────────────────────────────
logging:
level: "DEBUG"
enable_file: true
log_dir: "./logs"
log_file: "agent.log"
# ── Agent 行为配置 ─────────────────────────────────────────────
agent:
max_chain_steps: 10
enable_multi_step: true
session_timeout: 3600
fallback_to_rules: true

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@ -221,6 +221,7 @@ class MCPConfig:
transport: str = "stdio"
host: str = "localhost"
port: int = 3000
tools_directory: str = "tools"
enabled_tools: list[str] = field(default_factory=lambda: [
"calculator", "web_search", "file_reader",
"code_executor", "static_analyzer", "ssh_docker",
@ -257,6 +258,12 @@ class DatabaseConfig:
type: str = "sqlite"
url: str = None
@dataclass
class DeviceConfig:
type: str
device_id: str
protocol: str
params: dict
# ════════════════════════════════════════════════════════════════
# 顶层 AppConfig
# ════════════════════════════════════════════════════════════════
@ -287,6 +294,7 @@ class AppConfig:
memory: MemoryConfig,
logging: LoggingConfig,
agent: AgentConfig,
device: DeviceConfig,
skills_directory: str = "./skills",
database: DatabaseConfig = DatabaseConfig()
):
@ -297,6 +305,7 @@ class AppConfig:
self.memory = memory
self.logging = logging
self.agent = agent
self.device = device
self.skills_directory = skills_directory
self.database = database
@ -382,12 +391,22 @@ class ConfigLoader:
logging=cls._build_logging(raw.get("logging", {})),
agent=cls._build_agent(raw.get("agent", {})),
skills_directory=raw.get("skills_directory", ""),
device=cls._build_device(raw.get("device", {})),
database=DatabaseConfig(
type=raw.get("database", {}).get("type", "sqlite"),
url=raw.get("database", {}).get("url", "sqlite:///skills.db"),
)
)
@staticmethod
def _build_device(d: dict):
return DeviceConfig(
type=d.get("type", None),
device_id=d.get("device_id", None),
protocol=d.get("protocol", None),
params=d.get("params", {})
)
# ── LLM ───────────────────────────────────────────────────
@staticmethod
@ -418,6 +437,7 @@ class ConfigLoader:
transport=d.get("transport", df["transport"]),
host=d.get("host", df["host"]),
port=int(d.get("port", df["port"])),
tools_directory=d.get("tools_directory", "tools"),
enabled_tools=d.get("enabled_tools", df["enabled_tools"]),
)

30
device.py Normal file
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@ -0,0 +1,30 @@
from agent.config.settings import settings
from core.uas_control.controllers.robot_dog_controller import RobotDogController
from core.uas_control.controllers.uav_controller import UAVController
from core.uas_control.protocols.mavlink_adapter import MAVLinkAdapter
from core.uas_control.protocols.ros_adapter import ROSAdapter
from core.uas_control.protocols.simulation_adapter import SimulationAdapter
uas_type = settings.device.type
protocol = settings.device.protocol
device_id = settings.device.device_id
if protocol == "mavlink":
adapter = MAVLinkAdapter(device_id=device_id, **settings.device.params)
elif protocol == "ros":
adapter = ROSAdapter(device_id=device_id, **settings.device.params)
else:
adapter = SimulationAdapter(device_id=device_id, **settings.device.params)
if uas_type == "uav":
controller = UAVController(device_id=device_id, adapter=adapter)
elif uas_type == "robot_dog":
controller = RobotDogController(device_id=device_id, adapter=adapter)
else:
controller = UAVController(device_id=device_id, adapter=adapter)
# results, errors = [], []
# controller.command_result.connect(lambda r: results.append(r))
# controller.error_occurred.connect(lambda m: errors.append(m))
# assert controller.connect(), "连接应成功"

7
envs
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@ -1,7 +0,0 @@
LOG_DIR="./logs" # 日志目录
# --- HEXSTRIKE_AI 配置项 ---
HEXSTRIKE_AI_ENTRY="hexstrike_server:app" # WSGI 入口,格式为 模块名:变量名
HEXSTRIKE_AI_BIND_ADDRESS="127.0.0.1:8000" # 监听地址
HEXSTRIKE_AI_WORKERS=4 # 工作进程数
HEXSTRIKE_AI_PID_FILE="./hexstrike_ai.pid" # PID 文件保存位置

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@ -1,19 +0,0 @@
#!/usr/bin/env bash
SKILLS_DIR="./skills"
function install () {
name=$1
url=$2
if ! [ -d "${SKILLS_DIR}/$name" ]; then
git clone $url ${SKILLS_DIR}/$name
fi
requirements_file="${SKILLS_DIR}/$name/requirements.txt"
if [ -f ${requirements_file} ]; then
pip install -r $requirements_file
fi
}
pip install -r ./requirements.txt
install "hexstrike_ai" "https://github.com/0x4m4/hexstrike-ai.git"

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@ -7577,3 +7577,4 @@ The function `get_system_name()` uses `platform.system()` to determine the syste
时间, 08:00, 11:00 ; 天气 ; 气温, 23.9℃,
2026-06-01 15:52:17 [INFO ] agent.Agent │ 🔁 推理步骤 2/10
2026-06-01 15:52:19 [DEBUG ] agent.Agent │ LLM 响应: finish=stop tool_calls=0 content=今天成都双流区的天气为多云气温范围大约在22℃到32℃风力较轻适合外出活动。请注意根据具体天气情况适当增减衣物。
2026-06-01 15:54:14 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接

159
main.py
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@ -1,159 +0,0 @@
"""
main.py
项目入口 启动 Agent 交互式对话 MCP Server stdio 模式
用法:
python main.py # 启动 Agent 交互式对话(默认)
python main.py --mode agent # 同上
python main.py --mode mcp # 启动本地 MCP Serverstdio 模式)
python main.py --mode check # 检查配置和依赖
"""
import argparse
import atexit
import sys
def run_agent() -> None:
"""启动 Agent 交互式对话"""
from agent.agent import create_agent
from config.settings import settings
print(settings.display())
agent, registry = create_agent()
atexit.register(registry.close)
print(agent.show_tools())
print("" * 60)
print("💡 命令: exit=退出 reset=清空历史 tools=查看工具列表")
print("" * 60)
while True:
try:
user_input = input("\n🧑 You: ").strip()
except (EOFError, KeyboardInterrupt):
print("\n👋 再见!")
break
if not user_input:
continue
match user_input.lower():
case "exit" | "quit":
print("👋 再见!")
break
case "reset":
agent.reset()
print("🔄 对话历史已清空")
case "tools":
print(agent.show_tools())
case _:
reply = agent.chat(user_input)
print(f"\n🤖 Agent: {reply}")
def run_mcp_server() -> None:
"""启动本地 MCP Serverstdio 模式)"""
from mcp.mcp_server import MCPServer
with MCPServer() as server:
server.run_stdio()
# def run_check() -> None:
# """检查配置和依赖完整性"""
# print("=" * 60)
# print(" 🔍 项目依赖检查")
# print("=" * 60)
#
# checks = [
# ("pyyaml", "yaml", "pip install pyyaml"),
# ("openai", "openai", "pip install openai>=1.0.0"),
# ("httpx", "httpx", "pip install httpx>=0.27.0"),
# ("httpx-sse", "httpx_sse", "pip install httpx-sse>=0.4.0"),
# ("paramiko", "paramiko", "pip install paramiko>=3.0.0"),
# ]
#
# all_ok = True
# for pkg_name, import_name, install_cmd in checks:
# try:
# __import__(import_name)
# print(f" ✅ {pkg_name:<15} 已安装")
# except ImportError:
# print(f" ❌ {pkg_name:<15} 未安装 → {install_cmd}")
# all_ok = False
#
# print()
#
# # 配置检查
# try:
# from config.settings import settings
# print(" ✅ config/settings.py 加载成功")
# print(f" LLM : {settings.llm.provider} / {settings.llm.model_name}")
# print(f" 本地工具: {settings.mcp.enabled_tools}")
# skills = settings.enabled_mcp_skills
# if skills:
# print(f" 在线Skill: {[s.name for s in skills]}")
# else:
# print(" 在线Skill: (未配置)")
# except Exception as e:
# print(f" ❌ 配置加载失败: {e}")
# all_ok = False
#
# print()
#
# # 工具注册检查
# try:
# from mcp.skill_registry import SkillRegistry
# from tools.calculator import CalculatorTool
# from tools.code_executor import CodeExecutorTool
# from tools.file_reader import FileReaderTool
# from tools.ssh_docker import SSHDockerTool
# from tools.static_analyzer import StaticAnalyzerTool
# from tools.web_search import WebSearchTool
#
# registry = SkillRegistry()
# registry.register_local_many(
# CalculatorTool(), WebSearchTool(), FileReaderTool(),
# CodeExecutorTool(), StaticAnalyzerTool(), SSHDockerTool(),
# )
# tools = registry.list_all_tools()
# print(f" ✅ 本地工具注册 共 {len(tools)} 个:")
# for t in tools:
# print(f" 🔵 {t['name']}: {t['description'][:50]}")
# except Exception as e:
# print(f" ❌ 工具注册失败: {e}")
# all_ok = False
#
# print()
# print("=" * 60)
# if all_ok:
# print(" ✅ 所有检查通过,项目可正常运行")
# else:
# print(" ⚠️ 存在问题,请按提示安装缺失依赖")
# print("=" * 60)
def main() -> None:
parser = argparse.ArgumentParser(
description="Agent Demo —— 支持本地工具 + 在线 MCP Skill"
)
parser.add_argument(
"--mode",
choices=["agent", "mcp", "check"],
default="agent",
help="运行模式: agent交互对话| mcpMCP Server| check依赖检查",
)
args = parser.parse_args()
match args.mode:
case "agent":
run_agent()
case "mcp":
run_mcp_server()
# case "check":
# run_check()
if __name__ == "__main__":
main()

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@ -6,9 +6,9 @@ mcp/mcp_server.py
import json
import sys
from typing import Any
from config.settings import settings
from mcp.skill_registry import SkillRegistry
from utils.logger import get_logger
from agent.config.settings import settings
from agent.mcp.skill_registry import SkillRegistry
from agent.utils.logger import get_logger
logger = get_logger("MCP.Server")

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@ -21,8 +21,8 @@ import uuid
from dataclasses import dataclass, field
from typing import Any, Iterator
from config.settings import MCPSkillConfig
from utils.logger import get_logger
from agent.config.settings import MCPSkillConfig
from agent.utils.logger import get_logger
logger = get_logger("MCP.SkillClient")

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@ -2,7 +2,7 @@ import os
import json
import re
from typing import Any, Dict, List, Tuple
from utils.logger import get_logger
from agent.utils.logger import get_logger
import yaml
logger = get_logger("mcp.SkillLoader")

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@ -14,11 +14,11 @@ import time
from dataclasses import dataclass
from typing import Any
from config.settings import settings
from mcp.mcp_skill_client import MCPSkillClient, RemoteTool, ToolCallResult
from mcp.skill_loader import SkillLoader
from tools.base_tool import BaseTool
from utils.logger import get_logger
from agent.config.settings import settings
from agent.mcp.mcp_skill_client import MCPSkillClient, RemoteTool, ToolCallResult
from agent.mcp.skill_loader import SkillLoader
from agent.tools.base_tool import BaseTool
from agent.utils.logger import get_logger
logger = get_logger("MCP.SkillRegistry")
@ -111,8 +111,10 @@ class SkillRegistry:
enabled = settings.mcp.enabled_tools
logger.info(f"🔧 注册本地工具: {enabled}")
for tool_name in enabled:
tool_path = f"tools/{tool_name}.py"
tool_path =f"{settings.mcp.tools_directory}/{tool_name}.py"
# tool_path = f"tools/{tool_name}.py"
if not os.path.exists(tool_path):
logger.warning(f"未找到工具:{tool_path}")
continue
# 动态加载模块
spec = importlib.util.spec_from_file_location(tool_name, tool_path)

36
run.sh
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@ -1,36 +0,0 @@
#!/usr/bin/env bash
if [ -f "./envs" ]; then
source ./envs
fi
# 创建日志目录
if ! [ -d ${LOG_DIR} ]; then
mkdir -p $LOG_DIR
fi
function start_hexstrike_ai() {
if [ -f "$HEXSTRIKE_AI_PID_FILE" ]; then
echo "错误: hexstrike_ai 似乎已在运行 (PID: $(cat $HEXSTRIKE_AI_PID_FILE))"
exit 1
fi
# 启动 Gunicorn
echo "正在启动 hexstrike_ai"
cd skills/hexstrike_ai && gunicorn -w ${HEXSTRIKE_AI_WORKERS} \
-b ${HEXSTRIKE_AI_BIND_ADDRESS} \
--pid ${HEXSTRIKE_AI_PID_FILE} \
--access-logfile "$LOG_DIR/access.log" \
--error-logfile "$LOG_DIR/error.log" \
-D \
${HEXSTRIKE_AI_ENTRY}
if [ $? -eq 0 ]; then
echo "启动成功PID: $(cat $PID_FILE)"
else
echo "启动失败,请检查日志。"
fi
}
start_hexstrike_ai

23
stop.sh
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@ -1,23 +0,0 @@
#!/bin/bash
if [ -f "./envs" ]; then
source ./envs
fi
function stop() {
PID_FILE=$1
echo $PID_FILE
if [ -f "$PID_FILE" ]; then
PID=$(cat $PID_FILE)
echo "正在停止进程 $PID..."
kill $PID
# 循环等待进程结束并清理 PID 文件
while ps -p $PID > /dev/null; do sleep 1; done
rm $PID_FILE
echo "服务已停止。"
else
echo "未发现正在运行的服务 (未找到 PID 文件)。"
fi
}
stop ${HEXSTRIKE_AI_PID_FILE}

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@ -6,9 +6,8 @@ tools/base_tool.py
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any
from mcp.mcp_protocol import ToolSchema
from utils.logger import get_logger
from agent.mcp.mcp_protocol import ToolSchema
from agent.utils.logger import get_logger
@dataclass

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@ -1,113 +0,0 @@
"""
tools/calculator.py
数学计算工具 支持基本四则运算及常用数学函数
配置通过 settings.tools['calculator'] 读取
"""
import math
import operator
from typing import Any
from config.settings import settings
from tools.base_tool import BaseTool
from utils.logger import get_logger
logger = get_logger("TOOL.Calculator")
def _cfg(key: str, fallback=None):
return settings.tools['calculator'].get(key, fallback)
class Tool(BaseTool):
name = "calculator"
description = (
"执行数学计算,支持四则运算、幂运算、开方、三角函数、对数等。"
"输入数学表达式字符串,返回计算结果。"
)
parameters = {
"type": "object",
"properties": {
"expression": {
"type": "string",
"description": (
"数学表达式,例如: '2 + 3 * 4', 'sqrt(16)', "
"'sin(3.14159/2)', 'log(100, 10)', '2 ** 10'"
),
},
},
"required": ["expression"],
}
# 安全的内置函数白名单
_SAFE_GLOBALS: dict[str, Any] = {
"__builtins__": {},
# 基本数学
"abs": abs,
"round": round,
"pow": pow,
"min": min,
"max": max,
# math 模块常用函数
"sqrt": math.sqrt,
"ceil": math.ceil,
"floor": math.floor,
"log": math.log,
"log2": math.log2,
"log10": math.log10,
"exp": math.exp,
"sin": math.sin,
"cos": math.cos,
"tan": math.tan,
"asin": math.asin,
"acos": math.acos,
"atan": math.atan,
"atan2": math.atan2,
"pi": math.pi,
"e": math.e,
"inf": math.inf,
"factorial": math.factorial,
"gcd": math.gcd,
"hypot": math.hypot,
}
def execute(self, expression: str = "", **_) -> str:
if not expression or not expression.strip():
return "❌ 参数错误: expression 不能为空"
expr = expression.strip()
logger.info(f"🔢 计算表达式: {expr}")
# 安全检查:禁止危险关键字
forbidden = ["import", "exec", "eval", "open", "os", "sys",
"__", "compile", "globals", "locals", "getattr"]
for kw in forbidden:
if kw in expr:
return f"❌ 安全限制: 表达式包含禁止关键字 '{kw}'"
try:
precision = _cfg('precision', 10)
result = eval(expr, self._SAFE_GLOBALS, {}) # noqa: S307
# 格式化输出
if isinstance(result, float):
# 去除多余尾零
formatted = f"{result:.{precision}f}".rstrip("0").rstrip(".")
elif isinstance(result, complex):
formatted = str(result)
else:
formatted = str(result)
logger.info(f"✅ 计算结果: {expr} = {formatted}")
return f"{expr} = {formatted}"
except ZeroDivisionError:
return f"❌ 计算错误: 除零错误 表达式: {expr}"
except OverflowError:
return f"❌ 计算错误: 数值溢出 表达式: {expr}"
except ValueError as e:
return f"❌ 计算错误: {e} 表达式: {expr}"
except SyntaxError:
return f"❌ 语法错误: 无法解析表达式 '{expr}'"
except Exception as e:
return f"❌ 计算失败: {e} 表达式: {expr}"

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@ -1,149 +0,0 @@
"""
tools/code_executor.py
代码执行工具 在沙箱中执行 Python 代码片段
配置通过 settings.tools['code_executor'] 读取
"""
import io
import sys
import textwrap
import time
import traceback
from contextlib import redirect_stderr, redirect_stdout
from config.settings import settings
from tools.base_tool import BaseTool
from utils.logger import get_logger
logger = get_logger("TOOL.CodeExecutor")
def _cfg(key: str, fallback=None):
return settings.tools['code_executor'].get(key, fallback)
class Tool(BaseTool):
name = "code_executor"
description = (
"在安全沙箱中执行 Python 代码片段,返回标准输出和执行结果。"
"适用于数据处理、计算、格式转换等任务。"
"注意:沙箱模式下禁止文件系统写入、网络访问和系统调用。"
)
parameters = {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "要执行的 Python 代码字符串",
},
"timeout": {
"type": "integer",
"description": "执行超时秒数(默认来自 config.yaml code_executor.timeout",
},
},
"required": ["code"],
}
# 沙箱模式下禁止的模块和函数
_FORBIDDEN_SANDBOX = [
"import os", "import sys", "import subprocess",
"import socket", "import requests", "import httpx",
"import shutil", "open(", "__import__",
"exec(", "eval(", "compile(",
]
def execute(self, code: str = "", timeout: int | None = None, **_) -> str:
if not code or not code.strip():
return "❌ 参数错误: code 不能为空"
sandbox = _cfg('sandbox', True)
t = timeout or _cfg('timeout', 5)
code = textwrap.dedent(code)
logger.info(
f"🐍 执行代码 sandbox={sandbox} timeout={t}s "
f"[config timeout={_cfg('timeout')}s sandbox={_cfg('sandbox')}]\n"
f" 代码预览: {code[:100]}"
)
# 沙箱安全检查
if sandbox:
err = self._sandbox_check(code)
if err:
return err
# 使用线程超时执行
return self._run_with_timeout(code, t)
def _run_with_timeout(self, code: str, timeout: int) -> str:
"""在独立线程中执行代码,超时则终止"""
import threading
result_box: list[str] = []
error_box: list[str] = []
def _run():
stdout_buf = io.StringIO()
stderr_buf = io.StringIO()
local_ns: dict = {}
start = time.time()
try:
with redirect_stdout(stdout_buf), redirect_stderr(stderr_buf):
exec(code, {"__builtins__": __builtins__}, local_ns) # noqa: S102
elapsed = time.time() - start
stdout = stdout_buf.getvalue()
stderr = stderr_buf.getvalue()
# 尝试获取最后一个表达式的值
last_val = ""
lines = [l.strip() for l in code.strip().splitlines() if l.strip()]
if lines:
last_line = lines[-1]
if not last_line.startswith(("#", "print", "import", "from",
"def ", "class ", "if ", "for ",
"while ", "try:", "with ")):
try:
val = eval(last_line, {"__builtins__": __builtins__}, local_ns) # noqa: S307
if val is not None:
last_val = f"\n返回值: {repr(val)}"
except Exception:
pass
output = stdout + (f"\n[stderr]\n{stderr}" if stderr else "") + last_val
result_box.append(
f"✅ 执行成功 耗时={elapsed:.3f}s\n"
f"{'' * 40}\n"
f"{output.strip() or '(无输出)'}"
)
except Exception:
elapsed = time.time() - start
tb = traceback.format_exc()
error_box.append(
f"❌ 执行错误 耗时={elapsed:.3f}s\n"
f"{'' * 40}\n{tb}"
)
thread = threading.Thread(target=_run, daemon=True)
thread.start()
thread.join(timeout=timeout)
if thread.is_alive():
return (
f"⏰ 执行超时(>{timeout}s\n"
f" 请增大 config.yaml → tools.code_executor.timeout\n"
f" 或优化代码逻辑"
)
if error_box:
return error_box[0]
return result_box[0] if result_box else "❌ 执行失败(未知错误)"
def _sandbox_check(self, code: str) -> str | None:
"""沙箱模式下的静态安全检查"""
for forbidden in self._FORBIDDEN_SANDBOX:
if forbidden in code:
return (
f"❌ 沙箱限制: 代码包含禁止操作 '{forbidden}'\n"
f" 如需完整权限请在 config.yaml → "
f"tools.code_executor.sandbox 设置为 false"
)
return None

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@ -1,179 +0,0 @@
"""
tools/file_reader.py
文件读取工具 读取本地文件内容支持文本/JSON/CSV
配置通过 settings.tools['file_reader'] 读取
"""
import csv
import io
import json
from pathlib import Path
from config.settings import settings
from tools.base_tool import BaseTool
from utils.logger import get_logger
logger = get_logger("TOOL.FileReader")
def _cfg(key: str, fallback=None):
return settings.tools['file_reader'].get(key, fallback)
class Tool(BaseTool):
name = "file_reader"
description = (
"读取本地文件内容,支持 .txt / .md / .py / .json / .csv / .yaml / .log 等文本文件。"
"文件必须位于 config.yaml file_reader.allowed_root 目录下。"
)
parameters = {
"type": "object",
"properties": {
"file_path": {
"type": "string",
"description": "文件路径(相对于 allowed_root 或绝对路径)",
},
"encoding": {
"type": "string",
"description": "文件编码,默认 utf-8",
},
"max_lines": {
"type": "integer",
"description": "最多读取行数0 表示全部读取",
},
},
"required": ["file_path"],
}
_TEXT_EXTENSIONS = {
".txt", ".md", ".py", ".js", ".ts", ".java", ".c", ".cpp",
".h", ".hpp", ".go", ".rs", ".rb", ".php", ".sh", ".bash",
".yaml", ".yml", ".toml", ".ini", ".cfg", ".conf",
".json", ".csv", ".log", ".xml", ".html", ".css", ".sql",
".env", ".gitignore", ".dockerfile",
}
def execute(
self,
file_path: str = "",
encoding: str = "utf-8",
max_lines: int = 0,
**_,
) -> str:
if not file_path or not file_path.strip():
return "❌ 参数错误: file_path 不能为空"
allowed_root = Path(_cfg('allowed_root', './workspace')).resolve()
max_size_kb = _cfg('max_file_size_kb', 512)
# 路径解析
path = Path(file_path)
if not path.is_absolute():
path = allowed_root / path
path = path.resolve()
logger.info(
f"📄 读取文件: {path}\n"
f" allowed_root={allowed_root} "
f"max_size={max_size_kb}KB [config]"
)
# 安全检查:必须在 allowed_root 内
try:
path.relative_to(allowed_root)
except ValueError:
return (
f"❌ 安全限制: 文件路径超出允许范围\n"
f" 路径: {path}\n"
f" 允许范围: {allowed_root}\n"
f" 请在 config.yaml → tools.file_reader.allowed_root 中调整"
)
if not path.exists():
return f"❌ 文件不存在: {path}"
if not path.is_file():
return f"❌ 路径不是文件: {path}"
# 文件大小检查
size_kb = path.stat().st_size / 1024
if size_kb > max_size_kb:
return (
f"❌ 文件过大: {size_kb:.1f} KB > 限制 {max_size_kb} KB\n"
f" 请在 config.yaml → tools.file_reader.max_file_size_kb 中调整"
)
# 扩展名检查
suffix = path.suffix.lower()
if suffix not in self._TEXT_EXTENSIONS:
return (
f"❌ 不支持的文件类型: {suffix}\n"
f" 支持类型: {', '.join(sorted(self._TEXT_EXTENSIONS))}"
)
# 读取文件
try:
if suffix == ".json":
return self._read_json(path, encoding)
if suffix == ".csv":
return self._read_csv(path, encoding, max_lines)
return self._read_text(path, encoding, max_lines)
except UnicodeDecodeError:
return (
f"❌ 编码错误: 无法以 {encoding} 解码文件\n"
f" 请尝试指定 encoding 参数,例如 'gbk''latin-1'"
)
except Exception as e:
return f"❌ 读取失败: {e}"
@staticmethod
def _read_text(path: Path, encoding: str, max_lines: int) -> str:
content = path.read_text(encoding=encoding)
lines = content.splitlines()
total = len(lines)
if max_lines and max_lines < total:
shown = lines[:max_lines]
omitted = total - max_lines
text = "\n".join(shown)
return (
f"📄 {path.name} ({total} 行,显示前 {max_lines} 行)\n"
f"{'' * 50}\n{text}\n"
f"{'' * 50}\n... 还有 {omitted} 行未显示"
)
return f"📄 {path.name} ({total} 行)\n{'' * 50}\n{content}"
@staticmethod
def _read_json(path: Path, encoding: str) -> str:
content = path.read_text(encoding=encoding)
try:
data = json.loads(content)
formatted = json.dumps(data, ensure_ascii=False, indent=2)
return f"📄 {path.name} (JSON)\n{'' * 50}\n{formatted}"
except json.JSONDecodeError as e:
return f"⚠️ JSON 解析失败: {e}\n原始内容:\n{content[:500]}"
@staticmethod
def _read_csv(path: Path, encoding: str, max_lines: int) -> str:
content = path.read_text(encoding=encoding)
reader = csv.reader(io.StringIO(content))
rows = list(reader)
total = len(rows)
limit = max_lines if max_lines else min(total, 50)
shown = rows[:limit]
# 计算列宽
if not shown:
return f"📄 {path.name} (CSV空文件)"
col_widths = [
max(len(str(row[i])) if i < len(row) else 0 for row in shown)
for i in range(len(shown[0]))
]
lines = [f"📄 {path.name} (CSV{total} 行)", "" * 50]
for row in shown:
cells = [
str(row[i]).ljust(col_widths[i]) if i < len(row) else ""
for i in range(len(shown[0]))
]
lines.append(" | ".join(cells))
if total > limit:
lines.append(f"... 还有 {total - limit} 行未显示")
return "\n".join(lines)

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@ -1,733 +0,0 @@
"""
tools/ssh_docker.py
SSH 远程 Docker 部署工具 所有配置通过 settings.tools['ssh_docker'][key] 获取
依赖: pip install paramiko>=3.0.0
"""
import json
import re
import time
from dataclasses import dataclass, field
from config.settings import settings
from tools.base_tool import BaseTool
from utils.logger import get_logger
logger = get_logger("TOOL.SSHDocker")
try:
import paramiko
_PARAMIKO_AVAILABLE = True
except ImportError:
_PARAMIKO_AVAILABLE = False
logger.warning("⚠️ paramiko 未安装,请执行: pip install paramiko>=3.0.0")
# ════════════════════════════════════════════════════════════════
# 配置访问快捷函数
# ════════════════════════════════════════════════════════════════
def _cfg(key: str, fallback=None):
"""读取 ssh_docker 工具配置,不存在时返回 fallback"""
return settings.tools['ssh_docker'].get(key, fallback)
# ════════════════════════════════════════════════════════════════
# 数据结构
# ════════════════════════════════════════════════════════════════
@dataclass
class SSHConfig:
host: str
port: int = 22
username: str = "root"
password: str = ""
key_path: str = ""
timeout: int = 30
cmd_timeout: int = 120
@classmethod
def from_kwargs(cls, kwargs: dict) -> "SSHConfig":
"""
从调用参数构造 SSHConfig
支持通过 server 名称引用 config.yaml 中的预设
缺省值全部来自 config.yaml tools.ssh_docker
"""
server_name = kwargs.get("server", "")
if server_name:
servers = _cfg('servers', {})
preset = servers.get(server_name)
if not preset:
raise ValueError(
f"服务器预设 '{server_name}' 未在 config.yaml "
f"tools.ssh_docker.servers 中定义\n"
f"已有预设: {list(servers.keys())}"
)
logger.info(f"📋 使用服务器预设: {server_name}{preset.get('host')}")
return cls(
host=preset.get("host", ""),
port=int(preset.get("port", _cfg('default_ssh_port', 22))),
username=preset.get("username", _cfg('default_username', 'root')),
password=preset.get("password", ""),
key_path=preset.get("key_path", ""),
timeout=_cfg('connect_timeout', 30),
cmd_timeout=_cfg('cmd_timeout', 120),
)
return cls(
host=kwargs.get("host", ""),
port=int(kwargs.get("port", _cfg('default_ssh_port', 22))),
username=kwargs.get("username", _cfg('default_username', 'root')),
password=kwargs.get("password", ""),
key_path=kwargs.get("key_path", ""),
timeout=_cfg('connect_timeout', 30),
cmd_timeout=_cfg('cmd_timeout', 120),
)
@dataclass
class CommandResult:
command: str
stdout: str
stderr: str
exit_code: int
success: bool = True
@property
def output(self) -> str:
return self.stdout.strip() or self.stderr.strip()
@dataclass
class DeployConfig:
image: str
container_name: str
action: str = "deploy"
ports: list[str] = field(default_factory=list)
volumes: list[str] = field(default_factory=list)
env_vars: dict[str, str] = field(default_factory=dict)
network: str = ""
restart_policy: str = ""
command: str = ""
compose_file: str = ""
pull_latest: bool = True
extra_args: str = ""
def __post_init__(self):
# 重启策略缺省值来自 config.yaml
if not self.restart_policy:
self.restart_policy = _cfg('default_restart_policy', 'unless-stopped')
# ════════════════════════════════════════════════════════════════
# SSH 连接管理器
# ════════════════════════════════════════════════════════════════
class SSHManager:
def __init__(self, cfg: SSHConfig):
self.cfg = cfg
self.client: "paramiko.SSHClient | None" = None
def connect(self) -> None:
if not _PARAMIKO_AVAILABLE:
raise RuntimeError("paramiko 未安装,请执行: pip install paramiko>=3.0.0")
self.client = paramiko.SSHClient()
self.client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
connect_kwargs: dict = {
"hostname": self.cfg.host,
"port": self.cfg.port,
"username": self.cfg.username,
"timeout": self.cfg.timeout,
}
if self.cfg.key_path:
logger.info(f"🔑 使用密钥认证: {self.cfg.key_path}")
connect_kwargs["key_filename"] = self.cfg.key_path
elif self.cfg.password:
logger.info("🔐 使用密码认证")
connect_kwargs["password"] = self.cfg.password
else:
logger.info("🔓 尝试 SSH Agent / 默认密钥认证")
self.client.connect(**connect_kwargs)
logger.info(
f"✅ SSH 连接成功: {self.cfg.username}@{self.cfg.host}:{self.cfg.port}\n"
f" 连接超时: {self.cfg.timeout}s "
f"[config.yaml connect_timeout={_cfg('connect_timeout')}s]\n"
f" 命令超时: {self.cfg.cmd_timeout}s "
f"[config.yaml cmd_timeout={_cfg('cmd_timeout')}s]"
)
def exec(self, command: str, timeout: int | None = None) -> CommandResult:
if not self.client:
raise RuntimeError("SSH 未连接,请先调用 connect()")
t = timeout or self.cfg.cmd_timeout
logger.debug(f"🖥 执行命令 (timeout={t}s): {command}")
_, stdout, stderr = self.client.exec_command(command, timeout=t)
exit_code = stdout.channel.recv_exit_status()
out = stdout.read().decode("utf-8", errors="replace")
err = stderr.read().decode("utf-8", errors="replace")
result = CommandResult(
command=command, stdout=out, stderr=err,
exit_code=exit_code, success=(exit_code == 0),
)
logger.debug(f" exit={exit_code} out={out[:80]} err={err[:80]}")
return result
def close(self) -> None:
if self.client:
self.client.close()
self.client = None
def __enter__(self):
self.connect()
return self
def __exit__(self, *_):
self.close()
# ════════════════════════════════════════════════════════════════
# Docker 操作执行器
# ════════════════════════════════════════════════════════════════
class DockerExecutor:
ALLOWED_ACTIONS = {
"deploy", "start", "stop", "restart",
"status", "logs", "remove",
"compose_up", "compose_down", "compose_ps",
"pull", "inspect", "stats",
}
def __init__(self, ssh: SSHManager):
self.ssh = ssh
def check_docker(self) -> CommandResult:
return self.ssh.exec(
"docker --version && docker info --format '{{.ServerVersion}}'"
)
def pull_image(self, image: str) -> CommandResult:
logger.info(f"📥 拉取镜像: {image}")
return self.ssh.exec(
f"docker pull {image}",
timeout=_cfg('deploy_timeout', 300),
)
def deploy(self, cfg: DeployConfig) -> list[CommandResult]:
results = []
if cfg.pull_latest:
results.append(self.pull_image(cfg.image))
results.append(self.ssh.exec(
f"docker stop {cfg.container_name} 2>/dev/null || true"
))
results.append(self.ssh.exec(
f"docker rm {cfg.container_name} 2>/dev/null || true"
))
cmd = self._build_run_command(cfg)
logger.info(f"🚀 启动容器: {cmd}")
results.append(self.ssh.exec(cmd, timeout=_cfg('deploy_timeout', 300)))
return results
def start(self, name: str) -> CommandResult: return self.ssh.exec(f"docker start {name}")
def stop(self, name: str) -> CommandResult: return self.ssh.exec(f"docker stop {name}")
def restart(self, name: str) -> CommandResult: return self.ssh.exec(f"docker restart {name}")
def remove(self, name: str, force: bool = True) -> CommandResult:
return self.ssh.exec(f"docker rm {'-f' if force else ''} {name}")
def status(self, name: str) -> CommandResult:
cmd = (
f"docker inspect {name} "
f"--format '{{{{.Name}}}} | {{{{.State.Status}}}} | "
f"Started: {{{{.State.StartedAt}}}} | Image: {{{{.Config.Image}}}}'"
f" 2>/dev/null || echo 'Container {name} not found'"
)
return self.ssh.exec(cmd)
def logs(self, name: str, tail: int | None = None) -> CommandResult:
n = tail if tail is not None else _cfg('default_tail_lines', 100)
logger.info(
f"📋 获取日志: {name} tail={n} "
f"[config.yaml default_tail_lines={_cfg('default_tail_lines')}]"
)
return self.ssh.exec(f"docker logs --tail={n} --timestamps {name} 2>&1")
def inspect(self, name: str) -> CommandResult:
return self.ssh.exec(f"docker inspect {name}")
def stats(self, name: str) -> CommandResult:
return self.ssh.exec(
f"docker stats {name} --no-stream "
f"--format 'table {{{{.Name}}}}\t{{{{.CPUPerc}}}}\t"
f"{{{{.MemUsage}}}}\t{{{{.NetIO}}}}'"
)
def compose_up(self, compose_file: str, detach: bool = True) -> CommandResult:
work_dir = compose_file.rsplit("/", 1)[0] if "/" in compose_file else "."
logger.info(f"🐙 Compose Up: {compose_file}")
return self.ssh.exec(
f"cd {work_dir} && docker compose -f {compose_file} "
f"up {'-d' if detach else ''} --pull always",
timeout=_cfg('deploy_timeout', 300),
)
def compose_down(self, compose_file: str) -> CommandResult:
work_dir = compose_file.rsplit("/", 1)[0] if "/" in compose_file else "."
return self.ssh.exec(
f"cd {work_dir} && docker compose -f {compose_file} down"
)
def compose_ps(self, compose_file: str) -> CommandResult:
work_dir = compose_file.rsplit("/", 1)[0] if "/" in compose_file else "."
return self.ssh.exec(
f"cd {work_dir} && docker compose -f {compose_file} ps"
)
@staticmethod
def _build_run_command(cfg: DeployConfig) -> str:
"""
构造 docker run 命令
安全检查config.yaml allow_privileged=false 时拒绝 --privileged
"""
if "--privileged" in cfg.extra_args and not _cfg('allow_privileged', False):
logger.warning(
"⚠️ 已移除 --privileged 参数\n"
" 如需启用请在 config.yaml → "
"tools.ssh_docker.allow_privileged 设置为 true"
)
cfg.extra_args = cfg.extra_args.replace("--privileged", "").strip()
parts = ["docker", "run", "-d", f"--name {cfg.container_name}"]
if cfg.restart_policy:
parts.append(f"--restart {cfg.restart_policy}")
for p in cfg.ports:
parts.append(f"-p {p}")
for v in cfg.volumes:
parts.append(f"-v {v}")
for k, val in cfg.env_vars.items():
safe_val = str(val).replace('"', '\\"')
parts.append(f'-e {k}="{safe_val}"')
if cfg.network:
parts.append(f"--network {cfg.network}")
if cfg.extra_args:
parts.append(cfg.extra_args)
parts.append(cfg.image)
if cfg.command:
parts.append(cfg.command)
return " ".join(parts)
# ════════════════════════════════════════════════════════════════
# 主工具类
# ════════════════════════════════════════════════════════════════
class Tool(BaseTool):
"""
SSH 远程 Docker 部署工具
所有配置均通过 settings.tools['ssh_docker'][key] 读取
"""
name = "ssh_docker"
description = (
"通过 SSH 连接到远程服务器,使用 Docker 部署和管理容器应用。"
"支持: deploy | start | stop | restart | status | logs | "
"remove | compose_up | compose_down | compose_ps | pull | inspect | stats"
)
parameters = {
"host": {
"type": "string",
"description": "远程服务器 IP 或域名(与 server 参数二选一)",
},
"server": {
"type": "string",
"description": (
"使用 config.yaml tools.ssh_docker.servers 中预设的服务器名称"
"(与 host 二选一),例如 'prod''staging'"
),
},
"username": {
"type": "string",
"description": "SSH 用户名(不传则使用 config.yaml default_username",
},
"action": {
"type": "string",
"description": (
"Docker 操作类型: deploy部署| start | stop | restart | "
"status查看状态| logs查看日志| remove删除| "
"compose_up | compose_down | compose_ps | pull | inspect | stats"
),
"enum": sorted(DockerExecutor.ALLOWED_ACTIONS),
},
"image": {
"type": "string",
"description": "Docker 镜像名称,例如 nginx:latestdeploy/pull 时必填)",
},
"container_name": {
"type": "string",
"description": "容器名称,例如 my-nginx",
},
"port": {
"type": "integer",
"description": "SSH 端口(不传则使用 config.yaml default_ssh_port",
},
"password": {
"type": "string",
"description": "SSH 密码(与 key_path 二选一)",
},
"key_path": {
"type": "string",
"description": "SSH 私钥路径,例如 /home/user/.ssh/id_rsa",
},
"ports": {
"type": "string",
"description": "端口映射,逗号分隔,例如 '8080:80,443:443'",
},
"volumes": {
"type": "string",
"description": "数据卷挂载,逗号分隔,例如 '/data:/app/data,/logs:/var/log'",
},
"env_vars": {
"type": "string",
"description": "环境变量 JSON 字符串,例如 '{\"DB_HOST\":\"localhost\",\"DB_PORT\":\"5432\"}'",
},
"network": {
"type": "string",
"description": "Docker 网络名称,例如 bridge 或 my-network",
},
"restart_policy": {
"type": "string",
"description": "重启策略(不传则使用 config.yaml default_restart_policy: no | always | unless-stopped | on-failure",
},
"compose_file": {
"type": "string",
"description": "docker-compose.yml 在远程服务器上的绝对路径",
},
"pull_latest": {
"type": "boolean",
"description": "部署前是否拉取最新镜像,默认 true",
},
"tail_lines": {
"type": "integer",
"description": "查看日志时返回的行数(不传则使用 config.yaml default_tail_lines",
},
"extra_args": {
"type": "string",
"description": "传递给 docker run 的额外参数,例如 '--memory=512m --cpus=1'",
},
}
def execute(self, **kwargs) -> str:
# ── 解析参数,缺省值全部来自 config.yaml ──────────────
action = kwargs.get("action", "status").lower()
image = kwargs.get("image", "")
container_name = kwargs.get("container_name", "")
ports_str = kwargs.get("ports", "")
volumes_str = kwargs.get("volumes", "")
env_vars_str = kwargs.get("env_vars", "{}")
network = kwargs.get("network", "")
restart_policy = kwargs.get("restart_policy", "") # 空→由 DeployConfig.__post_init__ 填充
compose_file = kwargs.get("compose_file", "")
pull_latest = bool(kwargs.get("pull_latest", True))
tail_lines_raw = kwargs.get("tail_lines", None)
tail_lines = int(tail_lines_raw) if tail_lines_raw is not None else None
extra_args = kwargs.get("extra_args", "")
logger.info(
f"🐳 SSH Docker 操作启动\n"
f" 操作 : {action}\n"
f" 容器 : {container_name or '(未指定)'}\n"
f" 镜像 : {image or '(未指定)'}\n"
f" server预设: {kwargs.get('server', '(无)')} "
f"host: {kwargs.get('host', '(无)')}\n"
f" deploy_timeout : {_cfg('deploy_timeout')}s "
f"[config.yaml]\n"
f" allow_privileged: {_cfg('allow_privileged')} "
f"[config.yaml]"
)
# ── 参数校验 ──────────────────────────────────────────
err = self._validate(kwargs, action, image, container_name, compose_file)
if err:
return err
# ── 解析复合参数 ──────────────────────────────────────
ports = [p.strip() for p in ports_str.split(",") if p.strip()]
volumes = [v.strip() for v in volumes_str.split(",") if v.strip()]
try:
env_vars: dict = json.loads(env_vars_str) if env_vars_str.strip() else {}
except json.JSONDecodeError:
return f"❌ env_vars 格式错误,请使用 JSON 格式: {env_vars_str}"
# ── 镜像黑名单检查(来自 config.yaml blocked_images──
if image:
blocked = _cfg('blocked_images', [])
if any(image.startswith(b) for b in blocked):
return (
f"❌ 安全限制: 镜像 '{image}' 在黑名单中\n"
f" 黑名单: {blocked}\n"
f" 请在 config.yaml → tools.ssh_docker.blocked_images 中移除"
)
# ── 构造配置对象 ──────────────────────────────────────
try:
ssh_cfg = SSHConfig.from_kwargs(kwargs)
except ValueError as e:
return f"❌ SSH 配置错误: {e}"
deploy_cfg = DeployConfig(
image=image,
container_name=container_name,
action=action,
ports=ports,
volumes=volumes,
env_vars=env_vars,
network=network,
restart_policy=restart_policy,
compose_file=compose_file,
pull_latest=pull_latest,
extra_args=extra_args,
)
# ── 执行操作 ──────────────────────────────────────────
try:
with SSHManager(ssh_cfg) as ssh:
executor = DockerExecutor(ssh)
return self._dispatch(action, executor, deploy_cfg, tail_lines)
except Exception as e:
error_msg = str(e)
logger.error(f"❌ SSH Docker 操作失败: {error_msg}")
return self._format_error(action, ssh_cfg.host, error_msg)
# ── 操作分发 ──────────────────────────────────────────────
def _dispatch(
self,
action: str,
executor: DockerExecutor,
cfg: DeployConfig,
tail_lines: int | None,
) -> str:
# 先检查 Docker 环境
check = executor.check_docker()
if not check.success:
return (
f"❌ 远程服务器 Docker 不可用\n"
f" 错误: {check.stderr[:200]}\n"
f" 请确认 Docker 已安装并运行: sudo systemctl start docker"
)
match action:
case "deploy":
return self._do_deploy(executor, cfg)
case "start":
return self._fmt_single(executor.start(cfg.container_name), "start")
case "stop":
return self._fmt_single(executor.stop(cfg.container_name), "stop")
case "restart":
return self._fmt_single(executor.restart(cfg.container_name), "restart")
case "status":
return self._do_status(executor, cfg.container_name)
case "logs":
return self._do_logs(executor, cfg.container_name, tail_lines)
case "remove":
return self._fmt_single(executor.remove(cfg.container_name), "remove")
case "pull":
return self._fmt_single(executor.pull_image(cfg.image), "pull")
case "inspect":
return self._do_inspect(executor, cfg.container_name)
case "stats":
return self._fmt_single(executor.stats(cfg.container_name), "stats")
case "compose_up":
return self._fmt_single(executor.compose_up(cfg.compose_file), "compose_up")
case "compose_down":
return self._fmt_single(executor.compose_down(cfg.compose_file), "compose_down")
case "compose_ps":
return self._fmt_single(executor.compose_ps(cfg.compose_file), "compose_ps")
case _:
return f"❌ 不支持的操作: {action}"
def _do_deploy(self, executor: DockerExecutor, cfg: DeployConfig) -> str:
if cfg.compose_file:
result = executor.compose_up(cfg.compose_file)
icon = "" if result.success else ""
return (
f"{icon} Compose 部署{'成功' if result.success else '失败'}\n"
f"{'' * 50}\n"
f" Compose 文件: {cfg.compose_file}\n"
f"{'' * 50}\n"
f"{result.output[:1500]}"
)
results = executor.deploy(cfg)
return self._fmt_deploy(results, cfg)
def _do_status(self, executor: DockerExecutor, container_name: str) -> str:
status_r = executor.status(container_name)
stats_r = executor.stats(container_name)
lines = [
f"📊 容器状态: {container_name}",
"" * 50,
status_r.output or "容器不存在或未运行",
]
if stats_r.success and stats_r.output:
lines += ["", "📈 资源使用:", stats_r.output]
return "\n".join(lines)
def _do_logs(
self, executor: DockerExecutor, container_name: str, tail: int | None
) -> str:
result = executor.logs(container_name, tail)
n = tail if tail is not None else _cfg('default_tail_lines', 100)
if result.success:
return (
f"📋 容器日志: {container_name} (最近 {n} 行)\n"
f"{'' * 50}\n"
f"{result.output or '(无日志输出)'}"
)
return f"❌ 获取日志失败: {result.stderr[:300]}"
def _do_inspect(self, executor: DockerExecutor, container_name: str) -> str:
result = executor.inspect(container_name)
if result.success:
try:
data = json.loads(result.stdout)
if data:
c = data[0]
info = {
"Name": c.get("Name", ""),
"Status": c.get("State", {}).get("Status", ""),
"Image": c.get("Config", {}).get("Image", ""),
"Ports": c.get("NetworkSettings", {}).get("Ports", {}),
"Mounts": [m.get("Source") for m in c.get("Mounts", [])],
"Created": c.get("Created", ""),
}
return (
f"🔍 容器详情: {container_name}\n"
f"{'' * 50}\n"
f"{json.dumps(info, ensure_ascii=False, indent=2)}"
)
except json.JSONDecodeError:
pass
return f"❌ 获取容器详情失败: {result.stderr[:300]}"
# ── 格式化输出 ─────────────────────────────────────────────
@staticmethod
def _fmt_deploy(results: list[CommandResult], cfg: DeployConfig) -> str:
lines = [
"🚀 容器部署结果",
"" * 50,
f" 镜像 : {cfg.image}",
f" 容器名 : {cfg.container_name}",
f" 端口 : {', '.join(cfg.ports) or '(无)'}",
f" 数据卷 : {', '.join(cfg.volumes) or '(无)'}",
f" 重启策略: {cfg.restart_policy} "
f"[config.yaml default_restart_policy="
f"{_cfg('default_restart_policy')}]",
"" * 50,
]
all_ok = True
for r in results:
icon = "" if r.success else ""
lines.append(f" {icon} $ {r.command[:70]}")
if r.output:
lines.append(f" └─ {r.output[:150]}")
if not r.success:
all_ok = False
lines.append(f" └─ 错误: {r.stderr[:150]}")
lines.append("" * 50)
lines.append(
f"✅ 部署成功!容器 [{cfg.container_name}] 已启动"
if all_ok else
"⚠️ 部署过程中有步骤失败,请检查上方错误信息"
)
return "\n".join(lines)
@staticmethod
def _fmt_single(result: CommandResult, action: str) -> str:
icon = "" if result.success else ""
status = "成功" if result.success else "失败"
return (
f"{icon} {action} {status}\n"
f"{'' * 40}\n"
f"{result.output[:500] or '(无输出)'}"
)
@staticmethod
def _format_error(action: str, host: str, error: str) -> str:
lines = [
f"❌ SSH Docker [{action}] 操作失败",
"" * 50,
f" 服务器: {host}",
f" 错误 : {error}",
"" * 50,
"💡 排查建议:",
]
el = error.lower()
if "authentication" in el or "auth" in el:
lines += [
" • 检查用户名/密码是否正确",
" • 检查 SSH 密钥路径和权限chmod 600 ~/.ssh/id_rsa",
" • 或在 config.yaml tools.ssh_docker.servers 中配置预设",
]
elif "connection" in el or "timed out" in el:
lines += [
" • 检查服务器 IP 和 SSH 端口是否正确",
" • 检查防火墙是否开放 SSH 端口",
f" • config.yaml connect_timeout={_cfg('connect_timeout')}s可适当增大",
]
elif "docker" in el:
lines += [
" • 确认 Docker 已安装: docker --version",
" • 确认 Docker 服务运行: sudo systemctl start docker",
" • 确认用户有 Docker 权限: sudo usermod -aG docker $USER",
]
return "\n".join(lines)
# ── 参数校验 ──────────────────────────────────────────────
@staticmethod
def _validate(
kwargs: dict,
action: str,
image: str,
container_name: str,
compose_file: str,
) -> str | None:
# 必须提供 host 或 server 之一
if not kwargs.get("host") and not kwargs.get("server"):
return "❌ 参数错误: 必须提供 host服务器地址或 server预设名称之一"
if action not in DockerExecutor.ALLOWED_ACTIONS:
return (
f"❌ 不支持的操作: {action}\n"
f" 可选值: {', '.join(sorted(DockerExecutor.ALLOWED_ACTIONS))}"
)
# 主机白名单检查(来自 config.yaml allowed_hosts
host = kwargs.get("host", "")
allowed_hosts = _cfg('allowed_hosts', [])
if host and allowed_hosts and host not in allowed_hosts:
return (
f"❌ 安全限制: 服务器 '{host}' 不在白名单中\n"
f" 白名单: {allowed_hosts}\n"
f" 请在 config.yaml → tools.ssh_docker.allowed_hosts 中添加"
)
if action == "deploy" and not image and not compose_file:
return "❌ deploy 操作需要指定 image镜像名或 compose_fileCompose 文件路径)"
needs_container = {
"start", "stop", "restart", "logs", "remove", "inspect", "stats"
}
if action in needs_container and not container_name:
return f"{action} 操作需要指定 container_name容器名称"
needs_compose = {"compose_up", "compose_down", "compose_ps"}
if action in needs_compose and not compose_file:
return f"{action} 操作需要指定 compose_filedocker-compose.yml 路径)"
return None

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@ -1,483 +0,0 @@
"""
tools/static_analyzer.py
C/C++ 静态分析工具 所有配置通过 settings.tools['static_analyzer'][key] 获取
"""
import json
import os
import re
import shutil
import subprocess
import time
from dataclasses import dataclass, field
from pathlib import Path
from config.settings import settings
from tools.base_tool import BaseTool
from utils.logger import get_logger
logger = get_logger("TOOL.StaticAnalyzer")
# ════════════════════════════════════════════════════════════════
# 配置访问快捷函数(统一入口,便于调试)
# ════════════════════════════════════════════════════════════════
def _cfg(key: str, fallback=None):
"""读取 static_analyzer 工具配置,不存在时返回 fallback"""
return settings.tools['static_analyzer'].get(key, fallback)
# ════════════════════════════════════════════════════════════════
# 数据结构
# ════════════════════════════════════════════════════════════════
@dataclass
class AnalysisIssue:
file: str
line: int
column: int
severity: str # error | warning | style | performance | information
rule_id: str
message: str
tool: str
def to_dict(self) -> dict:
return {
"file": self.file, "line": self.line, "column": self.column,
"severity": self.severity, "rule_id": self.rule_id,
"message": self.message, "tool": self.tool,
}
def __str__(self) -> str:
return (
f"[{self.severity.upper():12s}] {self.file}:{self.line}:{self.column}"
f" ({self.rule_id}) {self.message}"
)
@dataclass
class AnalysisResult:
project_dir: str
tool: str
success: bool
issues: list[AnalysisIssue] = field(default_factory=list)
raw_output: str = ""
error: str = ""
elapsed_sec: float = 0.0
@property
def error_count(self) -> int: return sum(1 for i in self.issues if i.severity == "error")
@property
def warning_count(self) -> int: return sum(1 for i in self.issues if i.severity == "warning")
@property
def style_count(self) -> int: return sum(1 for i in self.issues if i.severity in ("style", "performance"))
@property
def total_count(self) -> int: return len(self.issues)
def summary(self) -> str:
max_show = min(20, _cfg('max_issues', 500))
if not self.success:
return f"❌ 分析失败: {self.error}"
lines = [
f"📊 静态分析完成 [{self.tool}] 耗时: {self.elapsed_sec:.1f}s",
f" 工程目录 : {self.project_dir}",
f" 问题总计 : {self.total_count}",
f" ├─ 错误 (error) : {self.error_count}",
f" ├─ 警告 (warning): {self.warning_count}",
f" └─ 风格 (style) : {self.style_count}",
]
if self.issues:
lines.append(f"\n📋 问题详情(最多显示 {max_show} 条):")
for issue in self.issues[:max_show]:
lines.append(f" {issue}")
if self.total_count > max_show:
lines.append(f" ... 还有 {self.total_count - max_show}")
else:
lines.append(" ✅ 未发现任何问题!")
return "\n".join(lines)
def to_dict(self) -> dict:
max_issues = _cfg('max_issues', 500)
return {
"project_dir": self.project_dir,
"tool": self.tool,
"success": self.success,
"elapsed_sec": round(self.elapsed_sec, 2),
"stats": {
"total": self.total_count,
"error": self.error_count,
"warning": self.warning_count,
"style": self.style_count,
},
"issues": [i.to_dict() for i in self.issues[:max_issues]],
"error": self.error,
}
# ════════════════════════════════════════════════════════════════
# 各工具解析器
# ════════════════════════════════════════════════════════════════
class CppcheckParser:
SEVERITY_MAP = {
"error": "error", "warning": "warning", "style": "style",
"performance": "performance", "portability": "style",
"information": "information",
}
@classmethod
def build_command(cls, project_dir: str, standard: str, extra_args: str) -> list[str]:
jobs = _cfg('jobs', 4)
cfg_extra = _cfg('tool_extra_args', {}).get('cppcheck', '')
full_args = f"{cfg_extra} {extra_args}".strip()
cmd = [
"cppcheck",
"--enable=all",
"--xml", "--xml-version=2",
f"--std={standard}",
f"-j{jobs}",
]
if full_args:
cmd.extend(full_args.split())
cmd.append(project_dir)
return cmd
@classmethod
def parse(cls, output: str, tool: str = "cppcheck") -> list[AnalysisIssue]:
issues: list[AnalysisIssue] = []
try:
import xml.etree.ElementTree as ET
root = ET.fromstring(output)
for error in root.iter("error"):
severity = cls.SEVERITY_MAP.get(error.get("severity", "warning"), "warning")
rule_id = error.get("id", "unknown")
message = error.get("msg", "")
loc = error.find("location")
if loc is not None:
file_path = loc.get("file", "unknown")
line = int(loc.get("line", 0))
column = int(loc.get("column", 0))
else:
file_path, line, column = "unknown", 0, 0
issues.append(AnalysisIssue(
file=file_path, line=line, column=column,
severity=severity, rule_id=rule_id,
message=message, tool=tool,
))
except Exception as e:
logger.warning(f"⚠️ XML 解析失败,回退文本解析: {e}")
issues = cls._parse_text(output, tool)
return issues
@staticmethod
def _parse_text(output: str, tool: str) -> list[AnalysisIssue]:
issues = []
pattern = re.compile(
r"^(.+?):(\d+):(\d+):\s+(error|warning|style|performance|information):\s+"
r"(.+?)(?:\s+\[(\w+)\])?$", re.MULTILINE,
)
for m in pattern.finditer(output):
issues.append(AnalysisIssue(
file=m.group(1), line=int(m.group(2)), column=int(m.group(3)),
severity=m.group(4), rule_id=m.group(6) or "unknown",
message=m.group(5), tool=tool,
))
return issues
class ClangTidyParser:
@classmethod
def build_command(cls, project_dir: str, standard: str, extra_args: str) -> list[str]:
cfg_extra = _cfg('tool_extra_args', {}).get('clang-tidy', '')
full_extra = f"{cfg_extra} {extra_args}".strip()
# 从 extra 中提取 --checks 值
m = re.search(r"--checks=(\S+)", full_extra)
checks = m.group(1) if m else "*"
if shutil.which("run-clang-tidy"):
cmd = [
"run-clang-tidy",
f"-checks={checks}",
"-p", os.path.join(project_dir, "build"),
]
else:
cmd = ["clang-tidy"]
if full_extra:
cmd.extend(full_extra.split())
src_files = []
for ext in ("*.cpp", "*.c", "*.cc", "*.cxx"):
src_files.extend(Path(project_dir).rglob(ext))
cmd.extend(str(f) for f in src_files[:50])
return cmd
@classmethod
def parse(cls, output: str, tool: str = "clang-tidy") -> list[AnalysisIssue]:
issues = []
pattern = re.compile(
r"^(.+?):(\d+):(\d+):\s+(error|warning|note):\s+(.+?)(?:\s+\[([\w\-\.]+)\])?$",
re.MULTILINE,
)
for m in pattern.finditer(output):
if m.group(4) == "note":
continue
issues.append(AnalysisIssue(
file=m.group(1), line=int(m.group(2)), column=int(m.group(3)),
severity=m.group(4), rule_id=m.group(6) or "unknown",
message=m.group(5), tool=tool,
))
return issues
class InferParser:
@classmethod
def build_command(cls, project_dir: str, standard: str, extra_args: str) -> list[str]:
cfg_extra = _cfg('tool_extra_args', {}).get('infer', '')
full_extra = f"{cfg_extra} {extra_args}".strip()
cmd = [
"infer", "run",
"--results-dir", os.path.join(project_dir, "infer-out"),
]
if full_extra:
cmd.extend(full_extra.split())
cmd += ["--", "make", "-C", project_dir]
return cmd
@classmethod
def parse(cls, output: str, tool: str = "infer") -> list[AnalysisIssue]:
issues = []
try:
data = json.loads(output)
for item in data:
issues.append(AnalysisIssue(
file=item.get("file", "unknown"),
line=item.get("line", 0),
column=0,
severity="error" if item.get("severity") == "ERROR" else "warning",
rule_id=item.get("bug_type", "unknown"),
message=item.get("qualifier", ""),
tool=tool,
))
except json.JSONDecodeError:
pattern = re.compile(r"(.+\.(?:cpp|c|cc|h)):(\d+):\s+(?:error|warning):\s+(.+)")
for m in pattern.finditer(output):
issues.append(AnalysisIssue(
file=m.group(1), line=int(m.group(2)), column=0,
severity="warning", rule_id="infer",
message=m.group(3), tool=tool,
))
return issues
_TOOL_REGISTRY: dict[str, type] = {
"cppcheck": CppcheckParser,
"clang-tidy": ClangTidyParser,
"infer": InferParser,
}
# ════════════════════════════════════════════════════════════════
# 主工具类
# ════════════════════════════════════════════════════════════════
class Tool(BaseTool):
"""
C/C++ 静态分析工具
所有配置均通过 settings.tools['static_analyzer'][key] 读取
"""
name = "static_analyzer"
description = (
"对指定目录下的 C/C++ 工程调用外部静态分析工具cppcheck/clang-tidy/infer"
"进行代码质量检查,返回错误、警告及代码风格问题"
)
parameters = {
"project_dir": {
"type": "string",
"description": "C/C++ 工程根目录的绝对路径,例如 /home/user/myproject",
},
"tool": {
"type": "string",
"description": "静态分析工具: cppcheck默认| clang-tidy | infer",
"enum": ["cppcheck", "clang-tidy", "infer"],
},
"standard": {
"type": "string",
"description": "C/C++ 语言标准: c89 | c99 | c11 | c++11 | c++14 | c++17 | c++20",
},
"extra_args": {
"type": "string",
"description": "额外命令行参数(追加到 config.yaml tool_extra_args 之后)",
},
"output_format": {
"type": "string",
"description": "输出格式: summary默认| json | full",
"enum": ["summary", "json", "full"],
},
"timeout": {
"type": "integer",
"description": "分析超时秒数(不传则使用 config.yaml 中的 timeout",
},
}
def execute(self, **kwargs) -> str:
# ── 读取参数,未提供时使用 config.yaml 中的默认值 ──────
project_dir = kwargs.get("project_dir", "")
tool_name = kwargs.get("tool", _cfg('default_tool', 'cppcheck')).lower()
standard = kwargs.get("standard", _cfg('default_std', 'c++17'))
extra_args = kwargs.get("extra_args", "")
output_format = kwargs.get("output_format", _cfg('output_format', 'summary'))
timeout = int(kwargs.get("timeout", _cfg('timeout', 120)))
logger.info(
f"🔍 静态分析启动\n"
f" 工程目录 : {project_dir}\n"
f" 分析工具 : {tool_name} "
f"[config default_tool={_cfg('default_tool')}]\n"
f" 语言标准 : {standard} "
f"[config default_std={_cfg('default_std')}]\n"
f" 超时 : {timeout}s "
f"[config timeout={_cfg('timeout')}s]\n"
f" 并行数 : {_cfg('jobs')} "
f"[config jobs={_cfg('jobs')}]\n"
f" 最大问题数: {_cfg('max_issues')}"
)
# ── 参数校验 ──────────────────────────────────────────
err = self._validate(project_dir, tool_name)
if err:
return err
# ── 构造并执行命令 ────────────────────────────────────
parser_cls = _TOOL_REGISTRY[tool_name]
try:
cmd = parser_cls.build_command(project_dir, standard, extra_args)
except Exception as e:
return f"❌ 构造分析命令失败: {e}"
logger.info(f"🚀 执行命令: {' '.join(cmd)}")
result = self._run_command(cmd, project_dir, timeout, tool_name)
# 截断超过 max_issues 的问题
max_issues = _cfg('max_issues', 500)
if len(result.issues) > max_issues:
logger.info(f"⚠️ 问题数 {len(result.issues)} 超过上限 {max_issues},已截断")
result.issues = result.issues[:max_issues]
return self._format_output(result, output_format)
# ── 私有方法 ──────────────────────────────────────────────
@staticmethod
def _validate(project_dir: str, tool_name: str) -> str | None:
if not project_dir:
return "❌ 参数错误: project_dir 不能为空"
path = Path(project_dir)
if not path.exists():
return f"❌ 目录不存在: {project_dir}"
if not path.is_dir():
return f"❌ 路径不是目录: {project_dir}"
# 白名单校验(来自 config.yaml allowed_roots
allowed_roots = _cfg('allowed_roots', [])
if allowed_roots and not any(
project_dir.startswith(r) for r in allowed_roots
):
return (
f"❌ 安全限制: {project_dir} 不在白名单中\n"
f" 白名单: {allowed_roots}\n"
f" 请在 config.yaml → tools.static_analyzer.allowed_roots 中添加"
)
# 检查是否包含 C/C++ 源文件
src_files = (
list(path.rglob("*.cpp")) + list(path.rglob("*.c")) +
list(path.rglob("*.cc")) + list(path.rglob("*.h"))
)
if not src_files:
return f"❌ 目录中未找到 C/C++ 源文件: {project_dir}"
if tool_name not in _TOOL_REGISTRY:
return (
f"❌ 不支持的分析工具: {tool_name}\n"
f" 可选值: {', '.join(_TOOL_REGISTRY.keys())}"
)
exe = "run-clang-tidy" if tool_name == "clang-tidy" else tool_name
if not shutil.which(exe) and not shutil.which(tool_name):
return (
f"❌ 分析工具未安装: {tool_name}\n"
f" 安装方式:\n"
f" cppcheck : sudo apt install cppcheck\n"
f" clang-tidy: sudo apt install clang-tidy\n"
f" infer : https://fbinfer.com/docs/getting-started"
)
return None
@staticmethod
def _run_command(
cmd: list[str], project_dir: str, timeout: int, tool_name: str,
) -> AnalysisResult:
start = time.time()
try:
proc = subprocess.run(
cmd, cwd=project_dir,
capture_output=True, text=True,
timeout=timeout, encoding="utf-8", errors="replace",
)
elapsed = time.time() - start
raw_output = proc.stderr if proc.stderr.strip() else proc.stdout
logger.debug(f"📄 原始输出(前 500 字符):\n{raw_output[:500]}")
parser_cls = _TOOL_REGISTRY[tool_name]
issues = parser_cls.parse(raw_output, tool_name)
if tool_name == "infer":
report_path = Path(project_dir) / "infer-out" / "report.json"
if report_path.exists():
issues = InferParser.parse(
report_path.read_text(encoding="utf-8"), "infer"
)
logger.info(f"✅ 分析完成: {len(issues)} 个问题,耗时 {elapsed:.1f}s")
return AnalysisResult(
project_dir=project_dir, tool=tool_name,
success=True, issues=issues,
raw_output=raw_output, elapsed_sec=elapsed,
)
except subprocess.TimeoutExpired:
elapsed = time.time() - start
msg = (
f"分析超时(>{timeout}s\n"
f" 请增大 config.yaml → tools.static_analyzer.timeout"
)
logger.error(f"{msg}")
return AnalysisResult(
project_dir=project_dir, tool=tool_name,
success=False, error=msg, elapsed_sec=elapsed,
)
except FileNotFoundError:
return AnalysisResult(
project_dir=project_dir, tool=tool_name,
success=False, error=f"命令未找到: {cmd[0]}",
)
except Exception as e:
return AnalysisResult(
project_dir=project_dir, tool=tool_name,
success=False, error=str(e),
)
@staticmethod
def _format_output(result: AnalysisResult, fmt: str) -> str:
if fmt == "json":
return json.dumps(result.to_dict(), ensure_ascii=False, indent=2)
if fmt == "full":
return (
f"{result.summary()}\n\n{'' * 60}\n"
f"📄 原始输出:\n{result.raw_output[:3000]}"
)
return result.summary()

42
tools/uav_control.py Normal file
View File

@ -0,0 +1,42 @@
from typing import List
from agent.device import controller
from agent.tools.base_tool import BaseTool, ToolResult
class Tool(BaseTool):
name = "uav_control"
description = (
"该工具用于对无人系统进行控制并在飞行控制中完成一系列的活动Action例如起飞、移动、悬停、照相等"
)
parameters = {
"type": "object",
"properties": {
"command": {
"type": "string",
"description": "无人系统飞行控制命令例如arm、disarm、takeoff、rtl、goto等",
},
"params": {
"type": "object",
"description": "控制命令参数"
},
"actions": {
"type": "array",
"description": "过程中执行的一些列的动作例如pause、capture_phone、standby等"
}
},
"required": ["command"],
}
def execute(self, command: str, params: dict={}, actions: List[object]=()) -> ToolResult:
if not controller.connect():
return ToolResult(success=False, output="连接无人机失败")
try:
command_handler = getattr(controller, command)
try:
return ToolResult(success=True, output=str(command_handler(**params)))
except Exception as e:
return ToolResult(success=False, output=str(e))
finally:
controller.disconnect()

37
tools/uav_get_state.py Normal file
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@ -0,0 +1,37 @@
import json
from dataclasses import asdict
from typing import List
from agent.config.settings import settings
from agent.device import controller
from agent.tools.base_tool import BaseTool, ToolResult
from core.uas_control import command_registry
from core.uas_control.controllers.robot_dog_controller import RobotDogController
from core.uas_control.controllers.uav_controller import UAVController
from core.uas_control.protocols.mavlink_adapter import MAVLinkAdapter
from core.uas_control.protocols.ros_adapter import ROSAdapter
from core.uas_control.protocols.simulation_adapter import SimulationAdapter
class Tool(BaseTool):
name = "uav_get_state"
description = (
"获取无人系统当前状态, 例如当前位置等信息"
)
parameters = {
"type": "object",
"properties": {
},
"required": [""],
}
def execute(self) -> ToolResult:
if not controller.connect():
return ToolResult(success=False, output="连接无人机失败")
try:
telemetry = controller.get_telemetry()
return ToolResult(success=True, output=json.dumps(telemetry.to_dict(), ensure_ascii=True))
finally:
controller.disconnect()

123
tools/uav_self_check.py Normal file
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@ -0,0 +1,123 @@
import time
from pymavlink import mavutil
from pymavlink.dialects.v20.all import MAVLink_sys_status_message
from agent.device import controller
from agent.tools.base_tool import BaseTool, ToolResult
class Tool(BaseTool):
name = "uav_self_check"
description = ("对无人机设备进行使用前自检")
parameters = {}
def execute(self, **kwargs) -> ToolResult:
"""
MAVLink 飞控系统健康自检
解决Arming denied: Resolve system health failures first
"""
# 等待健康数据
assert controller.connect(), "连接应成功"
try:
connection = controller.adapter.get_connection()
check_list = []
health = connection.wait_heartbeat(timeout=5)
if not health:
return ToolResult(success=False, output="❌ 无法获取飞控状态,连接异常")
# 2. 获取系统健康状态(关键:判断解锁失败原因)
check_list.append("\n===== 系统健康自检结果 =====")
system_status = health.system_status
check_list.append(f"系统状态码:{system_status}")
# 系统状态解释
status_map = {
0: "未初始化",
1: "初始化中",
2: "测试模式",
3: "待机",
4: "活动",
5: "临界",
6: "紧急",
7: "故障"
}
check_list.append(f"系统状态:{status_map.get(system_status, '未知')}")
# 3. 读取详细传感器健康(核心自检)
check_list.append("\n===== 传感器健康检测 =====")
for _ in range(30):
msg = connection.recv_match(type="SYS_STATUS", blocking=True)
if msg:
# 传感器是否存在
sensors_present = msg.onboard_control_sensors_present
sensors_enable = msg.onboard_control_sensors_enabled
# 传感器列表
sensor_list = [
("3D陀螺仪", 0),
("3D加速度计", 1),
("3D磁力计", 2),
("气压计", 3),
("GPS", 4),
("光学流量", 5),
("视觉定位", 6),
("测距传感器", 7),
("电机控制", 8),
("电池", 9),
("遥控信号", 10),
("飞行控制", 11),
("避障系统", 12),
("云台", 13),
]
# 逐个检测
for name, bit in sensor_list:
present = (sensors_present >> bit) & 1
enable = (sensors_enable >> bit) & 1
if present:
if not enable:
check_list.append(f"{name}:故障")
else:
check_list.append(f"{name}:正常")
else:
check_list.append(f" {name}:未安装")
break
time.sleep(0.1)
# 4. 解锁能力判断(解决 Arming denied
check_list.append("\n===== 解锁能力检测 =====")
can_arm = False
for _ in range(20):
msg = connection.recv_match(type="HEARTBEAT", blocking=True)
if msg:
base_mode = msg.base_mode
custom_mode = msg.custom_mode
# 0b10000000 = 已解锁
if (base_mode & mavutil.mavlink.MAV_MODE_FLAG_SAFETY_ARMED) != 0:
check_list.append("✅ 当前状态:已解锁")
can_arm = True
else:
check_list.append("⚠️ 当前状态:未解锁")
# 判断是否禁止解锁
if system_status in [5, 6, 7]:
check_list.append("❌ 禁止解锁原因:系统处于临界/紧急/故障状态")
else:
check_list.append("✅ 系统允许解锁,可执行 arm 指令")
can_arm = True
break
print("\n===== 自检完成 =====")
if can_arm:
check_list.append("🎉 结论无健康故障可以执行解锁arm")
else:
check_list.append("⚠️ 结论:存在系统故障,必须修复后才能 arm")
return ToolResult(success=True, output="\n".join(check_list))
except Exception as e:
return ToolResult(success=False, output=str(e))
finally:
controller.disconnect()

View File

@ -6,9 +6,9 @@ tools/web_search.py
from dataclasses import dataclass
from serpapi import SerpApiClient
from config.settings import settings
from tools.base_tool import BaseTool
from utils.logger import get_logger
from agent.config.settings import settings
from agent.tools.base_tool import BaseTool
from agent.utils.logger import get_logger
logger = get_logger("TOOL.WebSearch")