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https://github.com/Jerryplusy/AI-powered-switches.git
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adce943152 | |||
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7e89ad20fa |
2
.idea/misc.xml
generated
2
.idea/misc.xml
generated
@ -3,5 +3,5 @@
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<component name="Black">
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<option name="sdkName" value="Python 3.13" />
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</component>
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.13" project-jdk-type="Python SDK" />
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.11 (AI-powered-switches)" project-jdk-type="Python SDK" />
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</project>
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@ -126,6 +126,40 @@ async def apply_config(request: ConfigRequest):
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status_code=500,
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detail=f"Failed to apply config: {str(e)}"
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)
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class CLICommandRequest(BaseModel):
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switch_ip: str
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commands: List[str] # 前端生成的CLI命令列表
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is_ensp: bool = False # 是否为eNSP模拟器模式
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@router.post("/execute_cli_commands", response_model=dict)
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async def execute_cli_commands(request: CLICommandRequest):
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"""
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执行前端生成的CLI命令
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"""
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try:
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configurator = SwitchConfigurator(
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username=settings.SWITCH_USERNAME,
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password=settings.SWITCH_PASSWORD,
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timeout=settings.SWITCH_TIMEOUT,
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ensp_mode=request.is_ensp
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)
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# 直接发送命令到交换机
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result = await configurator.execute_raw_commands(
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ip=request.switch_ip,
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commands=request.commands
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)
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return {
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"success": True,
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"output": result,
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"mode": "eNSP" if request.is_ensp else "SSH"
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}
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except Exception as e:
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raise HTTPException(500, detail=str(e))
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@router.get("/traffic/interfaces", summary="获取所有网络接口")
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async def get_network_interfaces():
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return {
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@ -179,6 +179,13 @@ class SwitchConfigurator:
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except Exception as e:
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raise SSHConnectionException(f"连接异常: {str(e)}")
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async def execute_raw_commands(self, ip: str, commands: List[str]) -> str:
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"""
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执行原始CLI命令
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"""
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return await self._send_commands(ip, commands)
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@staticmethod
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def _generate_standard_commands(config: SwitchConfig) -> List[str]:
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"""生成标准CLI命令"""
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@ -242,6 +249,7 @@ class SwitchConfigurator:
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logging.error(f"恢复失败: {str(e)}")
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return False
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@retry(
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stop=stop_after_attempt(2),
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wait=wait_exponential(multiplier=1, min=4, max=10)
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@ -1,53 +1,57 @@
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import json
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from typing import Dict, Any, Coroutine
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import httpx
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from typing import Dict, Any
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from openai import OpenAI
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import json
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from src.backend.app.utils.exceptions import SiliconFlowAPIException
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from openai.types.chat import ChatCompletionSystemMessageParam, ChatCompletionUserMessageParam
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from src.backend.app.utils.logger import logger
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class AIService:
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def __init__(self, api_key: str, api_url: str):
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self.api_key = api_key
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self.api_url = api_url
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self.headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json"
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}
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self.client = OpenAI(
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api_key=self.api_key,
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base_url=self.api_url,
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# timeout=httpx.Timeout(30.0)
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)
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async def parse_command(self, command: str) -> Dict[str, Any]:
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async def parse_command(self, command: str) -> Any | None:
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"""
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调用硅基流动API解析中文命令
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"""
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prompt = f"""
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你是一个网络设备配置专家,请将以下中文命令转换为网络设备配置JSON。
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支持的配置包括:VLAN、端口、路由、ACL等。
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返回格式必须为JSON,包含配置类型和详细参数。
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命令:{command}
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prompt = """
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你是一个网络设备配置专家,精通各种类型的路由器的配置,请将以下用户的中文命令转换为网络设备配置JSON
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但是请注意,由于贪婪的人们追求极高的效率,所以你必须严格按照 JSON 格式返回数据,不要包含任何额外文本或 Markdown 代码块
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返回格式要求:
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1. 必须包含'type'字段指明配置类型(vlan/interface/acl/route等)
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2. 必须包含'commands'字段,包含可直接执行的命令列表
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3. 其他参数根据配置类型动态添加
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4. 不要包含解释性文本、步骤说明或注释
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示例命令:'创建VLAN 100,名称为TEST'
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示例返回:{"type": "vlan", "vlan_id": 100, "name": "TEST", "commands": ["vlan 100", "name TEST"]}
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"""
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data = {
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"model": "deepseek-ai/DeepSeek-V3",
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"prompt": prompt,
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"max_tokens": 1000,
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"temperature": 0.3
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}
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messages = [
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ChatCompletionSystemMessageParam(role="system", content=prompt),
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ChatCompletionUserMessageParam(role="user", content=command)
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]
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try:
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async with httpx.AsyncClient() as client:
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response = await client.post(
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f"{self.api_url}/chat/completions",
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headers=self.headers,
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json=data,
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timeout=30
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response = self.client.chat.completions.create(
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model="deepseek-ai/DeepSeek-V3",
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messages=messages,
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temperature=0.3,
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max_tokens=1000,
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response_format={"type": "json_object"}
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)
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if response.status_code != 200:
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raise SiliconFlowAPIException(response.text)
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logger.debug(response)
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result = response.json()
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config_str = result["choices"][0]["text"].strip()
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config_str = response.choices[0].message.content.strip()
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# 确保返回的是有效的JSON
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try:
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config = json.loads(config_str)
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return config
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@ -57,8 +61,12 @@ class AIService:
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config_str = config_str[7:-3].strip()
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return json.loads(config_str)
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raise SiliconFlowAPIException("Invalid JSON format returned from AI")
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except httpx.HTTPError as e:
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except KeyError:
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logger.error(KeyError)
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raise SiliconFlowAPIException("errrrrrrro")
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except Exception as e:
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raise SiliconFlowAPIException(
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detail=f"API请求失败: {str(e)}",
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status_code=e.response.status_code if hasattr(e, "response") else 500
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status_code=getattr(e, "status_code", 500)
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)
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@ -1,34 +1,26 @@
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# 核心依赖 -i https://pypi.tuna.tsinghua.edu.cn/simple
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fastapi==0.110.0
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uvicorn==0.29.0
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python-dotenv==1.0.1
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# Pydantic 模型 -i https://pypi.tuna.tsinghua.edu.cn/simple
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pysnmp
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pydantic==2.6.4
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pydantic-settings==2.2.1
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# 网络操作 -i https://pypi.tuna.tsinghua.edu.cn/simple
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openai==1.93.2
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asyncssh==2.14.2
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telnetlib3==2.0.3
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httpx==0.27.0
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python-nmap==0.7.1
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# 异步文件操作 -i https://pypi.tuna.tsinghua.edu.cn/simple
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pysnmp==7.1.21
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aiofiles==23.2.1
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# 日志管理 -i https://pypi.tuna.tsinghua.edu.cn/simple
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loguru==0.7.2
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# 重试机制 -i https://pypi.tuna.tsinghua.edu.cn/simple
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tenacity==8.2.3
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# 其他工具 -i https://pypi.tuna.tsinghua.edu.cn/simple
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asyncio==3.4.3
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typing_extensions==4.10.0
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#监控依赖 Y
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psutil==5.9.8
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matplotlib==3.8.3
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sqlalchemy==2.0.28
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sqlalchemy
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openai
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@ -96,7 +96,7 @@ const ConfigPage = () => {
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};
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const handleApply = async () => {
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if (!editableConfig.trim()) {
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if (!editableConfig) {
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Notification.warn({
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title: '配置为空',
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description: '请先解析或编辑有效配置',
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@ -213,13 +213,15 @@ const ConfigPage = () => {
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生成配置:
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</Text>
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<Textarea
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value={editableConfig}
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value={JSON.stringify(editableConfig)}
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rows={12}
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onChange={(e) => setEditableConfig(e.target.value)}
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fontFamily={'monospace'}
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size={'sm'}
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bg={'blackAlpha.200'}
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whiteSpace="pre-wrap"
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/>
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<HStack mt={4} spacing={3} justify={'flex-end'}>
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<Button
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variant={'outline'}
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@ -240,7 +242,7 @@ const ConfigPage = () => {
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size={'sm'}
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onClick={handleApply}
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isLoading={applying}
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isDisabled={!editableConfig.trim()}
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isDisabled={!editableConfig}
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>
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应用到交换机
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</Button>
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@ -41,7 +41,13 @@ export const api = {
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* @param text 文本
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* @returns {Promise<axios.AxiosResponse<any>>}
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*/
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parseCommand: (text) => axios.post(buildUrl('/api/parse_command'), { command: text }),
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//parseCommand: async (text) => await axios.post(buildUrl('/api/parse_command'), { command: text }),
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async parseCommand(text) {
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const res = await axios.post(buildUrl('/api/parse_command', { command: text }));
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if (res) {
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return res;
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} else return null;
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},
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/**
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* 应用配置
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