1. 修改了文件上传的功能
This commit is contained in:
@@ -32,7 +32,20 @@
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"Bash(find:*)",
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"Bash(./test_upload.sh:*)",
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"Bash(./test_all.sh)",
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"Bash(/data/code/FT_Platform/YG_FT_Platform/test_data_dir.sh:*)"
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"Bash(/data/code/FT_Platform/YG_FT_Platform/test_data_dir.sh:*)",
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"Bash(ls:*)",
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"Bash(python:*)",
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"Bash(pip install:*)",
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"Bash(findstr:*)",
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"Bash(taskkill:*)",
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"Bash(wmic:*)",
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"Bash(for:*)",
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"Bash(do echo \"Testing $url:\")",
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"Bash(done)",
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"Bash(./stop.sh:*)",
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"Bash(./xrequest/Scripts/python.exe -m pip:*)",
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"Bash(echo \"1. 访问: http://localhost:9999/web/pages/main.html\")",
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"Bash(echo:*)"
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]
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}
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}
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129
src/README.md
129
src/README.md
@@ -1,129 +0,0 @@
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# FastAPI 服务器
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## 功能特性
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这个 FastAPI 服务器为大模型微调平台提供了 RESTful API 接口。
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## API 端点
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### 基础信息
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- `GET /` - 根路径，返回欢迎信息
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- `GET /api/health` - 健康检查
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### 用户认证
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- `POST /api/login` - 用户登录
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```json
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{
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"username": "admin",
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"password": "your_password"
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}
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```
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### 数据集管理
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- `GET /api/datasets` - 获取数据集列表
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- `POST /api/datasets` - 创建新数据集
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```json
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{
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"name": "新数据集名称",
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"description": "数据集描述",
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"size": "数据集大小"
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}
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```
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- `POST /api/datasets/upload` - 上传数据集文件（支持 JSON 和 JSONL 格式）
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```bash
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curl -X POST "http://10.10.10.77:8001/api/datasets/upload" \
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-F "file=@dataset.json" \
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-F "description=数据集描述"
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```
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**支持的文件格式**: .json, .jsonl
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**文件大小限制**: 100MB
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- `GET /api/datasets/files` - 获取data目录中保存的文件列表
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- `DELETE /api/datasets/{dataset_id}` - 删除数据集
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### 模型管理
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- `GET /api/models` - 获取模型列表
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- `POST /api/models/config` - 配置模型参数
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```json
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{
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"model_name": "GPT-4",
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"learning_rate": 0.001,
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"batch_size": 32,
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"epochs": 100
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}
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```
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### 训练管理
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- `GET /api/training/status` - 获取训练状态
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- `POST /api/training/start` - 开始训练任务
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- `POST /api/training/stop/{task_id}` - 停止训练任务
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- `GET /api/model/{model_id}/metrics` - 获取模型指标
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### 系统监控
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- `GET /api/system/stats` - 获取系统统计信息
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## 启动服务器
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### 方法 1: 使用启动脚本（推荐）
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```bash
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cd src
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./run.sh
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```
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### 方法 2: 手动启动
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```bash
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# 安装依赖
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pip3 install -r requirements.txt
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# 启动服务器
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uvicorn main:app --host 0.0.0.0 --port 8001 --reload
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```
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## 访问地址
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- **服务器**: http://10.10.10.77:8001
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- **API 文档**: http://10.10.10.77:8001/docs
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- **替代文档**: http://10.10.10.77:8001/redoc
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## 示例请求
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### 登录
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```bash
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curl -X POST "http://10.10.10.77:8001/api/login" \
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-H "Content-Type: application/json" \
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-d '{"username": "admin", "password": "123456"}'
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```
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### 获取数据集列表
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```bash
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curl -X GET "http://10.10.10.77:8001/api/datasets"
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```
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### 上传数据集文件
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```bash
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curl -X POST "http://10.10.10.77:8001/api/datasets/upload" \
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-F "file=@dataset.json" \
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-F "description=数据集描述"
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```
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### 获取data目录文件列表
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```bash
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curl -X GET "http://10.10.10.77:8001/api/datasets/files"
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```
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### 获取系统统计
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```bash
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curl -X GET "http://10.10.10.77:8001/api/system/stats"
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```
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## 依赖
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- Python 3.7+
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- FastAPI 0.104.1
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- Uvicorn 0.24.0
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- Pydantic 2.5.0
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## 注意事项
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- 服务器默认运行在端口 8001
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- 使用 `--reload` 参数启用热重载
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- 所有 API 响应都遵循统一格式
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381
src/main.py
381
src/main.py
@@ -1,381 +0,0 @@
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from fastapi import FastAPI, File, UploadFile, HTTPException
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from pydantic import BaseModel
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from typing import List, Optional
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import uvicorn
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import os
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import json
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import re
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import time
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app = FastAPI(title="大模型微调平台 API", version="1.0.0")
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# 请求模型
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class UserModel(BaseModel):
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username: str
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password: str
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class DatasetModel(BaseModel):
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name: str
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description: Optional[str] = None
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size: str
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class ModelConfigModel(BaseModel):
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model_name: str
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learning_rate: float
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batch_size: int
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epochs: int
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# 响应模型
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class ResponseModel(BaseModel):
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code: int
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message: str
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data: Optional[dict] = None
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# 模拟数据存储
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datasets = [
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{"id": 1, "name": "中文对话数据集", "size": "1.2GB", "status": "已处理"},
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{"id": 2, "name": "英文文本分类数据集", "size": "856MB", "status": "处理中"},
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{"id": 3, "name": "图像识别数据集", "size": "2.5GB", "status": "待处理"},
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]
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models = [
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{"id": 1, "name": "GPT-4", "status": "训练中", "accuracy": "92%"},
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{"id": 2, "name": "BERT", "status": "已完成", "accuracy": "89%"},
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{"id": 3, "name": "LLaMA", "status": "已完成", "accuracy": "95%"},
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]
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@app.get("/")
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async def root():
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"""根路径"""
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return {"message": "大模型微调平台 API 服务"}
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@app.get("/api/health")
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async def health_check():
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"""健康检查"""
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return ResponseModel(code=200, message="服务运行正常", data={"status": "healthy"})
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@app.post("/api/login", response_model=ResponseModel)
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async def login(user: UserModel):
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"""用户登录"""
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if user.username == "admin" and user.password:
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return ResponseModel(
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code=200,
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message="登录成功",
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data={"token": "mock_token_12345", "user": user.username}
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)
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else:
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return ResponseModel(code=401, message="用户名或密码错误")
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@app.get("/api/datasets", response_model=ResponseModel)
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async def get_datasets():
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"""获取数据集列表"""
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return ResponseModel(code=200, message="获取成功", data={"datasets": datasets})
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@app.post("/api/datasets", response_model=ResponseModel)
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async def create_dataset(dataset: DatasetModel):
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"""创建数据集"""
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new_dataset = {
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"id": len(datasets) + 1,
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"name": dataset.name,
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"description": dataset.description,
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"size": "0MB",
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"status": "待处理"
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}
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datasets.append(new_dataset)
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return ResponseModel(code=201, message="创建成功", data={"dataset": new_dataset})
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@app.post("/api/datasets/upload", response_model=ResponseModel)
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async def upload_dataset(file: UploadFile = File(...), description: Optional[str] = None):
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"""上传数据集文件（仅支持 JSON 和 JSONL 格式）"""
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# 检查文件类型
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allowed_extensions = ['.json', '.jsonl']
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file_extension = os.path.splitext(file.filename)[1].lower()
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if file_extension not in allowed_extensions:
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raise HTTPException(
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status_code=400,
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detail=f"不支持的文件类型。只能上传 {', '.join(allowed_extensions)} 格式的文件"
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)
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# 检查文件大小（限制为 100MB）
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max_size = 100 * 1024 * 1024 # 100MB
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contents = await file.read()
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file_size = len(contents)
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if file_size > max_size:
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raise HTTPException(
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status_code=400,
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detail=f"文件大小超过限制。最大支持 100MB，当前文件大小: {file_size / (1024*1024):.2f}MB"
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)
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try:
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# 验证文件内容
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if file_extension == '.json':
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# 验证 JSON 文件
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json.loads(contents.decode('utf-8'))
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elif file_extension == '.jsonl':
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# 验证 JSONL 文件（每行必须是有效的 JSON）
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lines = contents.decode('utf-8').strip().split('\n')
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for i, line in enumerate(lines):
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if line.strip():
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try:
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json.loads(line)
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except json.JSONDecodeError as e:
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raise HTTPException(
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status_code=400,
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detail=f"JSONL 文件格式错误：第 {i+1} 行不是有效的 JSON 格式"
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)
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# 生成文件大小字符串
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if file_size < 1024:
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size_str = f"{file_size}B"
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elif file_size < 1024 * 1024:
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size_str = f"{file_size / 1024:.2f}KB"
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else:
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size_str = f"{file_size / (1024*1024):.2f}MB"
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# 计算行数（用于统计）
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lines_count = len(contents.decode('utf-8').strip().split('\n')) if contents else 0
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# 保存文件到 data 目录
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data_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'data')
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os.makedirs(data_dir, exist_ok=True)
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# 生成唯一文件名（避免冲突）
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base_name = os.path.splitext(file.filename)[0]
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timestamp = int(time.time())
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saved_filename = f"{base_name}_{timestamp}{file_extension}"
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saved_path = os.path.join(data_dir, saved_filename)
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# 写入文件
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with open(saved_path, 'wb') as f:
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f.write(contents)
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# 创建新数据集记录
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new_dataset = {
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"id": len(datasets) + 1,
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"name": file.filename,
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"description": description or f"上传的数据集文件，包含 {lines_count} 行数据",
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"size": size_str,
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"status": "已处理",
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"upload_time": "刚刚",
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"file_extension": file_extension,
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"records_count": lines_count,
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"saved_path": saved_path # 添加保存路径信息
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}
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# 添加到数据集列表
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datasets.append(new_dataset)
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return ResponseModel(
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code=200,
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message="文件上传成功",
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data={
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"dataset": new_dataset,
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"file_info": {
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"filename": file.filename,
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"size": size_str,
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"extension": file_extension,
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"records": lines_count
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}
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}
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)
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except json.JSONDecodeError:
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raise HTTPException(
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status_code=400,
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detail="JSON 文件格式错误：文件内容不是有效的 JSON 格式"
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)
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except UnicodeDecodeError:
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raise HTTPException(
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status_code=400,
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detail="文件编码错误：请确保文件使用 UTF-8 编码"
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)
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except Exception as e:
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raise HTTPException(
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status_code=500,
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detail=f"文件处理错误：{str(e)}"
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)
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@app.get("/api/datasets/files", response_model=ResponseModel)
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async def list_dataset_files():
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"""列出data目录中所有保存的数据集文件"""
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try:
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data_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'data')
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if not os.path.exists(data_dir):
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return ResponseModel(
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code=200,
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message="获取成功",
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data={"files": [], "total": 0, "directory": data_dir}
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)
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files = []
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for filename in os.listdir(data_dir):
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file_path = os.path.join(data_dir, filename)
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if os.path.isfile(file_path):
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stat = os.stat(file_path)
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files.append({
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"filename": filename,
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"size": stat.st_size,
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"size_human": format_size(stat.st_size),
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"modified_time": time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(stat.st_mtime)),
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"path": file_path
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})
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# 按修改时间排序（最新的在前）
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files.sort(key=lambda x: x["modified_time"], reverse=True)
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return ResponseModel(
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code=200,
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message="获取成功",
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data={
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"files": files,
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"total": len(files),
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"directory": data_dir
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}
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)
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except Exception as e:
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raise HTTPException(
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status_code=500,
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detail=f"获取文件列表失败：{str(e)}"
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)
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def format_size(size_bytes):
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"""格式化文件大小"""
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if size_bytes < 1024:
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return f"{size_bytes}B"
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elif size_bytes < 1024 * 1024:
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return f"{size_bytes / 1024:.2f}KB"
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else:
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return f"{size_bytes / (1024*1024):.2f}MB"
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@app.delete("/api/datasets/{dataset_id}", response_model=ResponseModel)
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async def delete_dataset(dataset_id: int):
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"""删除数据集"""
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global datasets
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for i, dataset in enumerate(datasets):
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if dataset["id"] == dataset_id:
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deleted_dataset = datasets.pop(i)
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return ResponseModel(
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code=200,
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message="删除成功",
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data={"deleted_dataset": deleted_dataset}
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)
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raise HTTPException(status_code=404, detail="数据集不存在")
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@app.get("/api/models", response_model=ResponseModel)
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async def get_models():
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"""获取模型列表"""
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return ResponseModel(code=200, message="获取成功", data={"models": models})
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@app.post("/api/models/config", response_model=ResponseModel)
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async def config_model(config: ModelConfigModel):
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"""配置模型参数"""
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return ResponseModel(
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code=200,
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message="配置成功",
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data={
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"model_name": config.model_name,
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"learning_rate": config.learning_rate,
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"batch_size": config.batch_size,
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"epochs": config.epochs,
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"status": "已配置"
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}
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)
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@app.get("/api/training/status")
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async def get_training_status():
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"""获取训练状态"""
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return ResponseModel(
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code=200,
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message="获取成功",
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||||
data={
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||||
"current_task": "GPT-4微调",
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"progress": 75,
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||||
"eta": "2小时",
|
||||
"loss": 0.23,
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||||
"accuracy": 0.89
|
||||
}
|
||||
)
|
||||
|
||||
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||||
@app.get("/api/system/stats")
|
||||
async def get_system_stats():
|
||||
"""获取系统统计信息"""
|
||||
import random
|
||||
return ResponseModel(
|
||||
code=200,
|
||||
message="获取成功",
|
||||
data={
|
||||
"cpu_usage": random.randint(30, 80),
|
||||
"memory_usage": random.randint(40, 70),
|
||||
"gpu_usage": random.randint(50, 90),
|
||||
"active_tasks": 5,
|
||||
"completed_tasks": 158
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@app.post("/api/training/start")
|
||||
async def start_training(model_name: str, dataset_id: int):
|
||||
"""开始训练任务"""
|
||||
return ResponseModel(
|
||||
code=200,
|
||||
message="训练任务已启动",
|
||||
data={
|
||||
"task_id": random.randint(1000, 9999),
|
||||
"model_name": model_name,
|
||||
"dataset_id": dataset_id,
|
||||
"status": "running"
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@app.post("/api/training/stop/{task_id}")
|
||||
async def stop_training(task_id: int):
|
||||
"""停止训练任务"""
|
||||
return ResponseModel(
|
||||
code=200,
|
||||
message=f"训练任务 {task_id} 已停止",
|
||||
data={"task_id": task_id, "status": "stopped"}
|
||||
)
|
||||
|
||||
|
||||
@app.get("/api/model/{model_id}/metrics")
|
||||
async def get_model_metrics(model_id: int):
|
||||
"""获取模型指标"""
|
||||
return ResponseModel(
|
||||
code=200,
|
||||
message="获取成功",
|
||||
data={
|
||||
"model_id": model_id,
|
||||
"accuracy": round(random.uniform(0.85, 0.98), 3),
|
||||
"precision": round(random.uniform(0.80, 0.95), 3),
|
||||
"recall": round(random.uniform(0.82, 0.96), 3),
|
||||
"f1_score": round(random.uniform(0.83, 0.97), 3),
|
||||
"training_time": f"{random.randint(2, 24)}小时",
|
||||
"parameters": random.randint(1000000, 100000000)
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
uvicorn.run(app, host="0.0.0.0", port=8001)
|
||||
@@ -1,4 +0,0 @@
|
||||
fastapi==0.104.1
|
||||
uvicorn[standard]==0.24.0
|
||||
pydantic==2.5.0
|
||||
python-multipart==0.0.6
|
||||
43
src/run.sh
43
src/run.sh
@@ -1,43 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
echo "🚀 启动 FastAPI 服务器..."
|
||||
|
||||
# 确保在正确的目录中
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
cd "$SCRIPT_DIR"
|
||||
|
||||
echo "📂 当前目录: $SCRIPT_DIR"
|
||||
|
||||
# 检查Python是否安装
|
||||
if ! command -v python3 &> /dev/null; then
|
||||
echo "❌ 错误: Python3 未安装"
|
||||
echo "请先安装 Python3"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# 检查pip是否安装
|
||||
if ! command -v pip3 &> /dev/null; then
|
||||
echo "❌ 错误: pip3 未安装"
|
||||
echo "请先安装 pip3"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# 安装依赖
|
||||
echo "📦 安装依赖包..."
|
||||
pip3 install -r requirements.txt
|
||||
|
||||
if [ $? -ne 0 ]; then
|
||||
echo "❌ 依赖安装失败"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "🌐 服务器地址: http://localhost:8001"
|
||||
echo "📚 API 文档: http://localhost:8001/docs"
|
||||
echo "🔍 替代文档: http://localhost:8001/redoc"
|
||||
echo ""
|
||||
echo "按 Ctrl+C 停止服务器"
|
||||
echo ""
|
||||
|
||||
# 启动服务器
|
||||
python3 -m uvicorn main:app --host 0.0.0.0 --port 8001 --reload
|
||||
@@ -1,47 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
echo "🧪 测试 FastAPI 服务器"
|
||||
echo "=================================="
|
||||
echo ""
|
||||
|
||||
BASE_URL="http://localhost:8001"
|
||||
|
||||
# 测试 1: 根路径
|
||||
echo "1. 测试根路径..."
|
||||
curl -s "$BASE_URL/" | python3 -m json.tool
|
||||
echo ""
|
||||
|
||||
# 测试 2: 健康检查
|
||||
echo "2. 测试健康检查..."
|
||||
curl -s "$BASE_URL/api/health" | python3 -m json.tool
|
||||
echo ""
|
||||
|
||||
# 测试 3: 用户登录
|
||||
echo "3. 测试用户登录..."
|
||||
curl -s -X POST "$BASE_URL/api/login" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"username": "admin", "password": "123456"}' | python3 -m json.tool
|
||||
echo ""
|
||||
|
||||
# 测试 4: 获取数据集列表
|
||||
echo "4. 测试获取数据集列表..."
|
||||
curl -s "$BASE_URL/api/datasets" | python3 -m json.tool
|
||||
echo ""
|
||||
|
||||
# 测试 5: 获取模型列表
|
||||
echo "5. 测试获取模型列表..."
|
||||
curl -s "$BASE_URL/api/models" | python3 -m json.tool
|
||||
echo ""
|
||||
|
||||
# 测试 6: 系统统计
|
||||
echo "6. 测试系统统计..."
|
||||
curl -s "$BASE_URL/api/system/stats" | python3 -m json.tool
|
||||
echo ""
|
||||
|
||||
# 测试 7: 训练状态
|
||||
echo "7. 测试训练状态..."
|
||||
curl -s "$BASE_URL/api/training/status" | python3 -m json.tool
|
||||
echo ""
|
||||
|
||||
echo "=================================="
|
||||
echo "✅ 所有测试完成！"
|
||||
88
test_all.sh
88
test_all.sh
@@ -1,88 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
echo "🧪 测试大模型微调平台 - 所有服务"
|
||||
echo "=================================="
|
||||
echo ""
|
||||
|
||||
BASE_URL="http://localhost"
|
||||
|
||||
# 检查服务是否运行
|
||||
echo "1. 检查服务状态..."
|
||||
echo ""
|
||||
|
||||
# 检查端口 8000 (Web 前端)
|
||||
if curl -s "${BASE_URL}:8000" > /dev/null 2>&1; then
|
||||
echo "✅ Web 前端服务正在运行 (端口 8000)"
|
||||
else
|
||||
echo "❌ Web 前端服务未运行 (端口 8000)"
|
||||
fi
|
||||
|
||||
# 检查端口 8001 (FastAPI)
|
||||
if curl -s "${BASE_URL}:8001" > /dev/null 2>&1; then
|
||||
echo "✅ FastAPI 服务正在运行 (端口 8001)"
|
||||
else
|
||||
echo "❌ FastAPI 服务未运行 (端口 8001)"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "=================================="
|
||||
echo ""
|
||||
|
||||
# 获取本机IP
|
||||
SERVER_IP=$(hostname -I | awk '{print $1}')
|
||||
|
||||
echo "📱 访问地址:"
|
||||
echo ""
|
||||
echo "前端页面:"
|
||||
echo " - 主页: http://$SERVER_IP:8000/pages/main.html"
|
||||
echo " - 登录: http://$SERVER_IP:8000/pages/login.html"
|
||||
echo ""
|
||||
echo "API 服务:"
|
||||
echo " - API 根路径: http://$SERVER_IP:8001/"
|
||||
echo " - API 健康检查: http://$SERVER_IP:8001/api/health"
|
||||
echo " - API 文档: http://$SERVER_IP:8001/docs"
|
||||
echo ""
|
||||
|
||||
echo "=================================="
|
||||
echo "2. 测试 API 接口..."
|
||||
echo ""
|
||||
|
||||
# 测试 API
|
||||
echo "测试根路径:"
|
||||
curl -s "${BASE_URL}:8001/" | python3 -m json.tool 2>/dev/null || curl -s "${BASE_URL}:8001/"
|
||||
echo ""
|
||||
|
||||
echo "测试健康检查:"
|
||||
curl -s "${BASE_URL}:8001/api/health" | python3 -m json.tool 2>/dev/null || echo "请求失败"
|
||||
echo ""
|
||||
|
||||
echo "测试数据集 API:"
|
||||
curl -s "${BASE_URL}:8001/api/datasets" | python3 -m json.tool 2>/dev/null || echo "请求失败"
|
||||
echo ""
|
||||
|
||||
echo "=================================="
|
||||
echo "3. 测试前端页面..."
|
||||
echo ""
|
||||
|
||||
# 测试前端页面
|
||||
echo "测试主页:"
|
||||
if curl -s -I "${BASE_URL}:8000/pages/main.html" | grep -q "200 OK"; then
|
||||
echo "✅ 主页可访问"
|
||||
else
|
||||
echo "❌ 主页无法访问"
|
||||
fi
|
||||
|
||||
echo "测试登录页:"
|
||||
if curl -s -I "${BASE_URL}:8000/pages/login.html" | grep -q "200 OK"; then
|
||||
echo "✅ 登录页可访问"
|
||||
else
|
||||
echo "❌ 登录页无法访问"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "=================================="
|
||||
echo "✅ 测试完成！"
|
||||
echo ""
|
||||
echo "💡 如果服务未运行，请使用以下命令启动:"
|
||||
echo " ./total_start.sh"
|
||||
echo ""
|
||||
@@ -1,53 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
echo "🧪 测试data目录功能"
|
||||
echo "=================================="
|
||||
echo ""
|
||||
|
||||
API_URL="http://10.10.10.77:8001/api"
|
||||
|
||||
echo "1. 测试获取文件列表..."
|
||||
curl -s "${API_URL}/datasets/files" | python3 -c "
|
||||
import json, sys
|
||||
data = json.load(sys.stdin)
|
||||
print(f'✅ 共 {data[\"data\"][\"total\"]} 个文件')
|
||||
print('')
|
||||
for f in data['data']['files']:
|
||||
print(f' 📄 {f[\"filename\"]} - {f[\"size_human\"]}')
|
||||
"
|
||||
echo ""
|
||||
|
||||
echo "2. 测试上传新文件..."
|
||||
cat > /tmp/test_upload.json << 'INNER_EOF'
|
||||
[{"text": "测试上传", "label": "test"}]
|
||||
INNER_EOF
|
||||
|
||||
curl -s -X POST "${API_URL}/datasets/upload" \
|
||||
-F "file=@/tmp/test_upload.json" \
|
||||
-F "description=测试data目录上传" | python3 -c "
|
||||
import json, sys
|
||||
data = json.load(sys.stdin)
|
||||
if data['code'] == 200:
|
||||
print('✅ 文件上传成功')
|
||||
print(f' 保存路径: {data[\"data\"][\"dataset\"][\"saved_path\"]}')
|
||||
else:
|
||||
print('❌ 上传失败')
|
||||
"
|
||||
echo ""
|
||||
|
||||
echo "3. 再次获取文件列表..."
|
||||
curl -s "${API_URL}/datasets/files" | python3 -c "
|
||||
import json, sys
|
||||
data = json.load(sys.stdin)
|
||||
print(f'✅ 当前共 {data[\"data\"][\"total\"]} 个文件')
|
||||
"
|
||||
|
||||
echo ""
|
||||
echo "=================================="
|
||||
echo "✅ 测试完成！"
|
||||
echo ""
|
||||
echo "📁 data目录位置："
|
||||
echo " /data/code/FT_Platform/YG_FT_Platform/data/"
|
||||
echo ""
|
||||
echo "🔍 查看文件："
|
||||
echo " ls -lh /data/code/FT_Platform/YG_FT_Platform/data/"
|
||||
200
total_start.sh
200
total_start.sh
@@ -1,200 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
echo "🚀 大模型微调平台 - 一键启动"
|
||||
echo "=================================="
|
||||
echo ""
|
||||
|
||||
# 确保在正确的目录中
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
cd "$SCRIPT_DIR"
|
||||
|
||||
echo "📂 当前目录: $SCRIPT_DIR"
|
||||
echo ""
|
||||
|
||||
# 获取本机IP地址
|
||||
SERVER_IP=$(hostname -I | awk '{print $1}')
|
||||
echo "🌐 本机 IP 地址: $SERVER_IP"
|
||||
echo ""
|
||||
|
||||
# 检查Python是否安装
|
||||
if ! command -v python3 &> /dev/null; then
|
||||
echo "❌ 错误: Python3 未安装"
|
||||
echo "请先安装 Python3"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "请选择启动方式:"
|
||||
echo "1) 启动所有服务（FastAPI + Web前端）"
|
||||
echo "2) 只启动 FastAPI 服务（端口 8001）"
|
||||
echo "3) 只启动 Web 前端服务（端口 8000）"
|
||||
echo "4) 交互式选择"
|
||||
echo ""
|
||||
|
||||
read -p "请输入选择 (1-4): " choice
|
||||
|
||||
case $choice in
|
||||
1)
|
||||
echo ""
|
||||
echo "✅ 启动所有服务..."
|
||||
echo ""
|
||||
|
||||
# 检查并启动 FastAPI 服务
|
||||
echo "🔧 启动 FastAPI 服务..."
|
||||
cd "$SCRIPT_DIR/src"
|
||||
if [ ! -d "node_modules" ] 2>/dev/null && [ ! -f "main.py" ]; then
|
||||
echo "⚠️ 警告: 未找到 FastAPI 源码文件"
|
||||
fi
|
||||
|
||||
# 启动 FastAPI (后台运行)
|
||||
cd "$SCRIPT_DIR/src"
|
||||
python3 -m uvicorn main:app --host 0.0.0.0 --port 8001 &
|
||||
FASTAPI_PID=$!
|
||||
echo "✅ FastAPI 服务已启动 (PID: $FASTAPI_PID)"
|
||||
echo " API 地址: http://localhost:8001"
|
||||
echo " API 文档: http://localhost:8001/docs"
|
||||
echo ""
|
||||
|
||||
# 等待 FastAPI 启动
|
||||
sleep 2
|
||||
|
||||
# 启动 Web 前端服务
|
||||
echo "🌐 启动 Web 前端服务..."
|
||||
cd "$SCRIPT_DIR/web"
|
||||
python3 -m http.server 8000 &
|
||||
WEB_PID=$!
|
||||
echo "✅ Web 前端服务已启动 (PID: $WEB_PID)"
|
||||
echo " 前端地址: http://localhost:8000"
|
||||
echo ""
|
||||
|
||||
echo "=================================="
|
||||
echo "🎉 所有服务启动完成！"
|
||||
echo ""
|
||||
echo "📱 访问地址:"
|
||||
echo " - 前端页面: http://$SERVER_IP:8000/pages/main.html"
|
||||
echo " - 登录页面: http://$SERVER_IP:8000/pages/login.html"
|
||||
echo " - API 服务: http://$SERVER_IP:8001"
|
||||
echo " - API 文档: http://$SERVER_IP:8001/docs"
|
||||
echo ""
|
||||
echo "⚠️ 按 Ctrl+C 停止所有服务"
|
||||
echo ""
|
||||
|
||||
# 等待用户中断
|
||||
trap "echo ''; echo '🛑 正在停止服务...'; kill $FASTAPI_PID $WEB_PID 2>/dev/null; echo '✅ 所有服务已停止'; exit 0" INT
|
||||
|
||||
# 保持脚本运行
|
||||
while true; do
|
||||
sleep 1
|
||||
done
|
||||
;;
|
||||
|
||||
2)
|
||||
echo ""
|
||||
echo "🔧 启动 FastAPI 服务..."
|
||||
cd "$SCRIPT_DIR/src"
|
||||
|
||||
# 检查源码文件是否存在
|
||||
if [ ! -f "main.py" ]; then
|
||||
echo "❌ 错误: 未找到 main.py 文件"
|
||||
echo "请确保在正确的目录中"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "✅ FastAPI 服务启动中..."
|
||||
echo " API 地址: http://localhost:8001"
|
||||
echo " API 文档: http://localhost:8001/docs"
|
||||
echo ""
|
||||
echo "⚠️ 按 Ctrl+C 停止服务"
|
||||
echo ""
|
||||
|
||||
python3 -m uvicorn main:app --host 0.0.0.0 --port 8001 --reload
|
||||
;;
|
||||
|
||||
3)
|
||||
echo ""
|
||||
echo "🌐 启动 Web 前端服务..."
|
||||
cd "$SCRIPT_DIR/web"
|
||||
|
||||
# 检查页面文件是否存在
|
||||
if [ ! -f "pages/main.html" ]; then
|
||||
echo "❌ 错误: 未找到 pages/main.html 文件"
|
||||
echo "请确保在正确的目录中"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "✅ Web 前端服务启动中..."
|
||||
echo " 前端地址: http://localhost:8000"
|
||||
echo ""
|
||||
echo "⚠️ 按 Ctrl+C 停止服务"
|
||||
echo ""
|
||||
|
||||
python3 -m http.server 8000
|
||||
;;
|
||||
|
||||
4)
|
||||
echo ""
|
||||
echo "🔧 检查服务状态..."
|
||||
echo ""
|
||||
|
||||
# 检查 FastAPI
|
||||
if curl -s http://localhost:8001 > /dev/null 2>&1; then
|
||||
echo "✅ FastAPI 服务正在运行 (端口 8001)"
|
||||
else
|
||||
echo "❌ FastAPI 服务未运行 (端口 8001)"
|
||||
fi
|
||||
|
||||
# 检查 Web 服务
|
||||
if curl -s http://localhost:8000 > /dev/null 2>&1; then
|
||||
echo "✅ Web 前端服务正在运行 (端口 8000)"
|
||||
else
|
||||
echo "❌ Web 前端服务未运行 (端口 8000)"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
read -p "是否启动 FastAPI 服务？(y/n): " start_fastapi
|
||||
if [[ $start_fastapi == "y" || $start_fastapi == "Y" ]]; then
|
||||
cd "$SCRIPT_DIR/src"
|
||||
python3 -m uvicorn main:app --host 0.0.0.0 --port 8001 &
|
||||
FASTAPI_PID=$!
|
||||
echo "✅ FastAPI 服务已启动 (PID: $FASTAPI_PID)"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
read -p "是否启动 Web 前端服务？(y/n): " start_web
|
||||
if [[ $start_web == "y" || $start_web == "Y" ]]; then
|
||||
cd "$SCRIPT_DIR/web"
|
||||
python3 -m http.server 8000 &
|
||||
WEB_PID=$!
|
||||
echo "✅ Web 前端服务已启动 (PID: $WEB_PID)"
|
||||
fi
|
||||
|
||||
if [[ $start_fastapi == "y" || $start_fastapi == "Y" || $start_web == "y" || $start_web == "Y" ]]; then
|
||||
echo ""
|
||||
echo "=================================="
|
||||
echo "🎉 服务启动完成！"
|
||||
echo ""
|
||||
echo "📱 访问地址:"
|
||||
echo " - 前端页面: http://$SERVER_IP:8000/pages/main.html"
|
||||
echo " - 登录页面: http://$SERVER_IP:8000/pages/login.html"
|
||||
echo " - API 服务: http://$SERVER_IP:8001"
|
||||
echo " - API 文档: http://$SERVER_IP:8001/docs"
|
||||
echo ""
|
||||
echo "⚠️ 按 Ctrl+C 停止服务"
|
||||
echo ""
|
||||
|
||||
# 等待用户中断
|
||||
trap "echo ''; echo '🛑 正在停止服务...'; kill $FASTAPI_PID $WEB_PID 2>/dev/null; echo '✅ 所有服务已停止'; exit 0" INT
|
||||
|
||||
# 保持脚本运行
|
||||
while true; do
|
||||
sleep 1
|
||||
done
|
||||
else
|
||||
echo "未启动任何服务"
|
||||
fi
|
||||
;;
|
||||
|
||||
*)
|
||||
echo "❌ 无效选择，请运行脚本重新选择"
|
||||
exit 1
|
||||
;;
|
||||
esac
|
||||
@@ -1,95 +0,0 @@
|
||||
# 🔥 大模型微调平台
|
||||
|
||||
> **静态HTML页面，使用假数据模拟系统监控**
|
||||
|
||||
## 🚀 快速启动
|
||||
|
||||
### 方式1: 直接打开文件（推荐）
|
||||
```bash
|
||||
cd web
|
||||
./start.sh
|
||||
```
|
||||
选择 `1` 直接打开文件
|
||||
|
||||
### 方式2: HTTP服务器（可通过IP访问）
|
||||
```bash
|
||||
cd web
|
||||
./start.sh
|
||||
```
|
||||
选择 `2` 启动HTTP服务器
|
||||
|
||||
或直接运行:
|
||||
```bash
|
||||
./start-http-server.sh
|
||||
```
|
||||
|
||||
## 📊 访问应用
|
||||
|
||||
### 直接打开文件
|
||||
- **主页**: `file:///data/code/FT_Platform/YG_FT_Platform/web/pages/main.html`
|
||||
- **登录**: `file:///data/code/FT_Platform/YG_FT_Platform/web/pages/login.html`
|
||||
|
||||
### HTTP服务器访问（端口8000）
|
||||
- **主页**: `http://10.10.10.77:8000/pages/main.html`
|
||||
- **登录**: `http://10.10.10.77:8000/pages/login.html`
|
||||
|
||||
## ✅ 模拟系统数据
|
||||
|
||||
现在显示的是**模拟数据**:
|
||||
- ✅ **CPU使用率**: 随机模拟数据
|
||||
- ✅ **内存使用率**: 随机模拟数据
|
||||
- ✅ **GPU使用率**: 随机模拟数据
|
||||
|
||||
每2秒自动更新一次数据！
|
||||
|
||||
## 🔧 技术架构
|
||||
|
||||
- **前端**: HTML + CSS + JavaScript
|
||||
- **图表**: Chart.js
|
||||
- **样式**: Tailwind CSS
|
||||
- **服务器**: Python HTTP服务器（可选）
|
||||
|
||||
## 📱 特性
|
||||
|
||||
- 静态HTML页面，无需后端服务
|
||||
- 模拟数据自动更新
|
||||
- 响应式设计 (支持手机/平板)
|
||||
- 20个数据点滚动显示
|
||||
- 彩色编码 (CPU红色, GPU绿色, 内存蓝色)
|
||||
|
||||
## 🛑 停止服务器
|
||||
|
||||
### 停止HTTP服务器
|
||||
```bash
|
||||
# 按 Ctrl+C
|
||||
```
|
||||
|
||||
## 🐛 故障排除
|
||||
|
||||
### 问题: 找不到Python
|
||||
**解决**: 安装Python或使用方式1直接打开文件
|
||||
|
||||
### 问题: 端口8000被占用
|
||||
**解决**:
|
||||
```bash
|
||||
# 找到占用端口的进程
|
||||
lsof -i :8000
|
||||
# 或使用其他端口
|
||||
python3 -m http.server 8001
|
||||
```
|
||||
|
||||
### 问题: IP地址无法访问
|
||||
**解决**:
|
||||
1. 确保使用HTTP服务器方式启动
|
||||
2. 检查防火墙设置，确保端口8000开放
|
||||
3. 使用正确的IP地址
|
||||
|
||||
### 问题: 数据不更新
|
||||
**解决**: 刷新页面或重新启动
|
||||
|
||||
## 📞 获取帮助
|
||||
|
||||
如果遇到问题:
|
||||
1. 首先尝试方式1直接打开文件
|
||||
2. 如果需要IP访问，使用方式2启动HTTP服务器
|
||||
3. 检查Python是否安装
|
||||
@@ -755,7 +755,7 @@
|
||||
};
|
||||
|
||||
// 数据集管理相关功能
|
||||
const API_BASE = 'http://10.10.10.77:8001/api';
|
||||
const API_BASE = 'http://localhost:3000/api';
|
||||
|
||||
// 加载数据集列表
|
||||
async function loadDatasets() {
|
||||
@@ -763,8 +763,11 @@
|
||||
const response = await fetch(`${API_BASE}/datasets`);
|
||||
const result = await response.json();
|
||||
|
||||
if (result.code === 200) {
|
||||
renderDatasetList(result.data.datasets);
|
||||
// 适配StandardResponse格式: {status: 1, response: {...}}
|
||||
if (result.status === 1 && result.response && result.response.datasets) {
|
||||
renderDatasetList(result.response.datasets);
|
||||
} else if (result.status === 0) {
|
||||
console.error('加载数据集列表失败:', result.response?.error || '未知错误');
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('加载数据集列表失败:', error);
|
||||
@@ -788,11 +791,12 @@
|
||||
<div class="flex justify-between items-center">
|
||||
<div>
|
||||
<h3 class="font-medium text-dashboard-text">${dataset.name}</h3>
|
||||
<p class="text-sm text-dashboard-textLight mt-1">${dataset.size || '未知大小'} • ${dataset.records_count || dataset.description || '未知'}</p>
|
||||
<p class="text-sm text-dashboard-textLight mt-1">${dataset.size_display || dataset.size_mb + ' MB' || '未知大小'} • ${dataset.description || '无描述'}</p>
|
||||
</div>
|
||||
<div class="flex items-center space-x-2">
|
||||
<span class="px-2 py-1 ${statusClass} text-xs rounded">${statusText}</span>
|
||||
<button class="text-dashboard-primary hover:underline text-sm">查看详情</button>
|
||||
<button onclick="viewDatasetDetails('${dataset.file_id}')" class="text-dashboard-primary hover:underline text-sm">查看详情</button>
|
||||
<button onclick="deleteDataset('${dataset.file_id}', '${dataset.name}')" class="text-red-500 hover:text-red-700 text-sm">删除</button>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
@@ -814,6 +818,7 @@
|
||||
}
|
||||
}
|
||||
|
||||
// 查看数据集详情
|
||||
// 处理文件上传
|
||||
async function handleFileUpload(input) {
|
||||
const file = input.files[0];
|
||||
@@ -849,12 +854,14 @@
|
||||
|
||||
const result = await response.json();
|
||||
|
||||
if (result.code === 200) {
|
||||
// 适配StandardResponse格式: {status: 1, response: {...}}
|
||||
if (result.status === 1) {
|
||||
alert('上传成功！');
|
||||
// 重新加载数据集列表
|
||||
loadDatasets();
|
||||
} else {
|
||||
alert('上传失败: ' + (result.detail || result.message || '未知错误'));
|
||||
const errorMsg = result.response?.error || result.message || '未知错误';
|
||||
alert('上传失败: ' + errorMsg);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('上传失败:', error);
|
||||
@@ -872,6 +879,151 @@
|
||||
// 跳转到登录页面
|
||||
window.location.href = 'login.html';
|
||||
}
|
||||
|
||||
// 查看数据集详情
|
||||
async function viewDatasetDetails(fileId) {
|
||||
try {
|
||||
// 调用API获取文件内容
|
||||
const response = await fetch(`${API_BASE}/datasets/${fileId}/content?limit=5`);
|
||||
const result = await response.json();
|
||||
|
||||
if (result.status === 1) {
|
||||
const data = result.response;
|
||||
let contentHtml = '';
|
||||
|
||||
if (Array.isArray(data.preview)) {
|
||||
// 如果是数组，显示前5条记录
|
||||
contentHtml = '<div style="max-height: 400px; overflow-y: auto;"><pre>' +
|
||||
JSON.stringify(data.preview, null, 2) +
|
||||
'</pre></div>';
|
||||
} else {
|
||||
// 如果是对象，直接显示
|
||||
contentHtml = '<div style="max-height: 400px; overflow-y: auto;"><pre>' +
|
||||
JSON.stringify(data.preview, null, 2) +
|
||||
'</pre></div>';
|
||||
}
|
||||
|
||||
// 显示模态框
|
||||
showDatasetModal(data.filename, contentHtml);
|
||||
} else {
|
||||
alert('获取文件内容失败: ' + (result.response?.error || '未知错误'));
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('获取文件详情失败:', error);
|
||||
alert('获取文件详情失败: 网络错误');
|
||||
}
|
||||
}
|
||||
|
||||
// 显示数据集详情模态框
|
||||
function showDatasetModal(title, content) {
|
||||
const modal = document.createElement('div');
|
||||
modal.style.cssText = `
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
background: rgba(0, 0, 0, 0.5);
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
z-index: 10000;
|
||||
`;
|
||||
|
||||
const modalContent = document.createElement('div');
|
||||
modalContent.style.cssText = `
|
||||
background: white;
|
||||
padding: 20px;
|
||||
border-radius: 8px;
|
||||
max-width: 800px;
|
||||
max-height: 600px;
|
||||
overflow: hidden;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
`;
|
||||
|
||||
const modalHeader = document.createElement('div');
|
||||
modalHeader.style.cssText = `
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
margin-bottom: 15px;
|
||||
border-bottom: 1px solid #eee;
|
||||
padding-bottom: 10px;
|
||||
`;
|
||||
|
||||
const titleElement = document.createElement('h3');
|
||||
titleElement.textContent = title;
|
||||
titleElement.style.cssText = 'margin: 0; color: #333;';
|
||||
|
||||
const closeButton = document.createElement('button');
|
||||
closeButton.textContent = '×';
|
||||
closeButton.style.cssText = `
|
||||
background: none;
|
||||
border: none;
|
||||
font-size: 24px;
|
||||
cursor: pointer;
|
||||
color: #666;
|
||||
width: 30px;
|
||||
height: 30px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
border-radius: 4px;
|
||||
`;
|
||||
closeButton.onmouseover = () => closeButton.style.background = '#f0f0f0';
|
||||
closeButton.onmouseout = () => closeButton.style.background = 'none';
|
||||
|
||||
const closeModal = () => {
|
||||
document.body.removeChild(modal);
|
||||
};
|
||||
|
||||
closeButton.onclick = closeModal;
|
||||
modal.onclick = (e) => {
|
||||
if (e.target === modal) closeModal();
|
||||
};
|
||||
|
||||
modalHeader.appendChild(titleElement);
|
||||
modalHeader.appendChild(closeButton);
|
||||
|
||||
const contentDiv = document.createElement('div');
|
||||
contentDiv.innerHTML = content;
|
||||
|
||||
modalContent.appendChild(modalHeader);
|
||||
modalContent.appendChild(contentDiv);
|
||||
|
||||
modal.appendChild(modalContent);
|
||||
document.body.appendChild(modal);
|
||||
}
|
||||
|
||||
// 删除数据集
|
||||
async function deleteDataset(fileId, filename) {
|
||||
// 确认删除对话框
|
||||
const confirmMessage = `确定要删除数据集 "${filename}" 吗？\n\n此操作不可撤销！`;
|
||||
|
||||
if (!confirm(confirmMessage)) {
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await fetch(`${API_BASE}/datasets/${fileId}`, {
|
||||
method: 'DELETE'
|
||||
});
|
||||
|
||||
const result = await response.json();
|
||||
|
||||
if (result.status === 1) {
|
||||
alert('删除成功！');
|
||||
// 重新加载数据集列表
|
||||
loadDatasets();
|
||||
} else {
|
||||
alert('删除失败: ' + (result.response?.error || '未知错误'));
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('删除失败:', error);
|
||||
alert('删除失败: 网络错误');
|
||||
}
|
||||
}
|
||||
</script>
|
||||
|
||||
</body>
|
||||
|
||||
@@ -1,36 +1,135 @@
|
||||
#!/bin/bash
|
||||
|
||||
echo "🚀 启动 HTTP 服务器..."
|
||||
echo "🚀 启动 HTTP 服务器"
|
||||
echo "===================="
|
||||
echo ""
|
||||
|
||||
# 确保在正确的目录中
|
||||
# 获取脚本所在目录
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
cd "$SCRIPT_DIR"
|
||||
|
||||
echo "📂 当前目录: $SCRIPT_DIR"
|
||||
echo ""
|
||||
|
||||
# 获取本机IP地址
|
||||
SERVER_IP=$(hostname -I | awk '{print $1}')
|
||||
echo "🌐 本机 IP 地址: $SERVER_IP"
|
||||
# 检测操作系统类型
|
||||
echo "🔍 检测操作系统..."
|
||||
OSTYPE_LOWER=$(echo "$OSTYPE" | tr '[:upper:]' '[:lower:]')
|
||||
|
||||
# 检测是否在 WSL 中
|
||||
IS_WSL=0
|
||||
if [[ -n "$WSLENV" ]] || grep -qi microsoft /proc/version 2>/dev/null; then
|
||||
IS_WSL=1
|
||||
OS_TYPE="WSL (Windows Subsystem for Linux)"
|
||||
echo "📟 检测到 WSL 环境"
|
||||
elif [[ "$OSTYPE_LOWER" == "linux-gnu"* ]]; then
|
||||
OS_TYPE="Linux"
|
||||
echo "🐧 检测到 Linux 环境"
|
||||
elif [[ "$OSTYPE_LOWER" == "darwin"* ]]; then
|
||||
OS_TYPE="macOS"
|
||||
echo "🍎 检测到 macOS 环境"
|
||||
elif [[ "$OSTYPE_LOWER" == "msys" ]] || [[ "$OSTYPE_LOWER" == "cygwin" ]]; then
|
||||
OS_TYPE="Windows (MSYS/Cygwin)"
|
||||
echo "🪟 检测到 Windows (MSYS/Cygwin) 环境"
|
||||
else
|
||||
OS_TYPE="Unknown"
|
||||
echo "⚠️ 未识别的操作系统: $OSTYPE"
|
||||
fi
|
||||
|
||||
echo "✅ 操作系统类型: $OS_TYPE"
|
||||
echo ""
|
||||
|
||||
# 根据操作系统选择 Python 命令
|
||||
PYTHON_CMD=""
|
||||
PYTHON_VERSION=""
|
||||
|
||||
# 检查Python是否可用
|
||||
if command -v python3 &> /dev/null; then
|
||||
PYTHON_CMD="python3"
|
||||
PYTHON_VERSION=$(python3 --version 2>&1)
|
||||
elif command -v python &> /dev/null; then
|
||||
PYTHON_CMD="python"
|
||||
PYTHON_VERSION=$(python --version 2>&1)
|
||||
else
|
||||
echo "❌ 错误: 未找到 Python"
|
||||
echo "请安装 Python 或手动打开文件"
|
||||
echo ""
|
||||
echo "💡 解决方案:"
|
||||
echo " 1. 安装 Python 3.x"
|
||||
echo " 2. 确保 python 或 python3 命令可用"
|
||||
echo " 3. Windows 用户可以使用: start.bat"
|
||||
echo ""
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "✅ 使用 Python 命令: $PYTHON_CMD"
|
||||
echo "✅ Python 版本: $PYTHON_VERSION"
|
||||
echo ""
|
||||
|
||||
# 获取本机IP地址
|
||||
SERVER_IP=""
|
||||
case "$OS_TYPE" in
|
||||
"Linux"|"macOS")
|
||||
# Linux/macOS 使用 hostname -I
|
||||
if command -v hostname &> /dev/null; then
|
||||
SERVER_IP=$(hostname -I 2>/dev/null | awk '{print $1}' | head -n1)
|
||||
if [ -n "$SERVER_IP" ] && [ "$SERVER_IP" != "localhost" ]; then
|
||||
echo "🌐 检测到 IP 地址: $SERVER_IP"
|
||||
else
|
||||
echo "🌐 未检测到有效 IP，将使用 localhost"
|
||||
SERVER_IP="localhost"
|
||||
fi
|
||||
fi
|
||||
;;
|
||||
"WSL (Windows Subsystem for Linux)")
|
||||
echo "💡 WSL 环境提示:"
|
||||
echo " - 如果无法访问 localhost，请检查 WSL 网络配置"
|
||||
echo " - 建议在 Windows 浏览器中访问服务"
|
||||
echo ""
|
||||
echo "🌐 建议使用: http://localhost:8000 访问"
|
||||
SERVER_IP="localhost"
|
||||
;;
|
||||
"Windows (MSYS/Cygwin)"|*)
|
||||
# Windows 下使用 localhost 更可靠
|
||||
echo "🌐 Windows 环境使用 localhost 访问"
|
||||
SERVER_IP="localhost"
|
||||
;;
|
||||
esac
|
||||
|
||||
if [ -z "$SERVER_IP" ]; then
|
||||
SERVER_IP="localhost"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "📱 访问地址:"
|
||||
echo " - 主页: http://$SERVER_IP:8000/pages/main.html"
|
||||
echo " - 登录: http://$SERVER_IP:8000/pages/login.html"
|
||||
echo " 主页: http://$SERVER_IP:8000/pages/main.html"
|
||||
echo " 登录: http://$SERVER_IP:8000/pages/login.html"
|
||||
echo ""
|
||||
echo "⚠️ 服务器将在端口 8000 启动"
|
||||
echo "按 Ctrl+C 停止服务器"
|
||||
echo ""
|
||||
|
||||
# 启动 HTTP 服务器
|
||||
echo "🔧 启动中..."
|
||||
echo ""
|
||||
|
||||
# WSL 环境特殊处理
|
||||
if [ $IS_WSL -eq 1 ]; then
|
||||
echo "💡 WSL 启动提示:"
|
||||
echo " - 服务器在 WSL 中启动"
|
||||
echo " - 如果 Windows 浏览器无法访问，可能需要配置 WSL 网络"
|
||||
echo " - 或使用 Windows 的 Python 启动: python -m http.server 8000"
|
||||
echo ""
|
||||
fi
|
||||
|
||||
# 启动服务器
|
||||
$PYTHON_CMD -m http.server 8000
|
||||
|
||||
EXIT_CODE=$?
|
||||
if [ $EXIT_CODE -ne 0 ]; then
|
||||
echo ""
|
||||
echo "❌ 服务器启动失败 (退出码: $EXIT_CODE)"
|
||||
echo ""
|
||||
echo "💡 故障排除:"
|
||||
echo " 1. 检查端口 8000 是否被占用"
|
||||
echo " 2. 确认 Python 3 已正确安装"
|
||||
echo " 3. 尝试使用其他端口: $PYTHON_CMD -m http.server 9000"
|
||||
echo ""
|
||||
fi
|
||||
|
||||
157
web/start.bat
Normal file
157
web/start.bat
Normal file
@@ -0,0 +1,157 @@
|
||||
@echo off
|
||||
chcp 65001 >nul
|
||||
title FT-Platform Web 前端
|
||||
|
||||
echo.
|
||||
echo 🚀 启动大模型微调平台 (Web 前端)
|
||||
echo ========================================
|
||||
echo.
|
||||
|
||||
:: 确保在正确的目录中
|
||||
cd /d "%~dp0"
|
||||
|
||||
echo 📂 当前目录: %CD%
|
||||
echo.
|
||||
|
||||
:: 检测运行环境
|
||||
if not "%WSLENV%"=="" (
|
||||
echo 📟 检测到 WSL 环境
|
||||
set "IS_WSL=1"
|
||||
) else (
|
||||
echo 📟 检测到 Windows 环境
|
||||
set "IS_WSL=0"
|
||||
)
|
||||
|
||||
echo.
|
||||
echo 请选择启动方式:
|
||||
echo 1) 直接打开文件（本地访问）
|
||||
echo 2) 启动HTTP服务器（推荐，跨域访问）
|
||||
echo 3) 使用 Python 启动 HTTP 服务器
|
||||
echo.
|
||||
|
||||
set /p choice="请输入选择 (1-3): "
|
||||
|
||||
if "%choice%"=="1" goto open_file
|
||||
if "%choice%"=="2" goto start_http
|
||||
if "%choice%"=="3" goto start_python
|
||||
|
||||
echo ❌ 无效选择
|
||||
pause
|
||||
exit /b 1
|
||||
|
||||
:open_file
|
||||
echo.
|
||||
echo 🌐 打开本地文件...
|
||||
echo.
|
||||
echo 主页: file://%CD%\pages\main.html
|
||||
echo 登录: file://%CD%\pages\login.html
|
||||
echo.
|
||||
|
||||
:: 尝试打开浏览器
|
||||
if exist "pages\main.html" (
|
||||
start "FT-Platform 主页" "pages\main.html"
|
||||
echo ✅ 已尝试在浏览器中打开主页
|
||||
) else (
|
||||
echo ❌ 未找到 pages\main.html 文件
|
||||
)
|
||||
|
||||
echo.
|
||||
echo 💡 如果浏览器未自动打开，请手动双击打开:
|
||||
echo %CD%\pages\main.html
|
||||
echo.
|
||||
pause
|
||||
goto end
|
||||
|
||||
:start_http
|
||||
echo.
|
||||
echo 🌐 启动 HTTP 服务器...
|
||||
echo.
|
||||
|
||||
:: 检查 Python 命令
|
||||
python --version >nul 2>&1
|
||||
if %errorlevel% equ 0 (
|
||||
set "PYTHON_CMD=python"
|
||||
goto run_server
|
||||
)
|
||||
|
||||
python3 --version >nul 2>&1
|
||||
if %errorlevel% equ 0 (
|
||||
set "PYTHON_CMD=python3"
|
||||
goto run_server
|
||||
)
|
||||
|
||||
echo ❌ 未找到 Python
|
||||
echo.
|
||||
echo 💡 请安装 Python 或选择方式 1 直接打开文件
|
||||
echo.
|
||||
pause
|
||||
goto end
|
||||
|
||||
:start_python
|
||||
echo.
|
||||
echo 🌐 使用 Python 启动 HTTP 服务器...
|
||||
echo.
|
||||
|
||||
:: 尝试多种 Python 命令
|
||||
where python >nul 2>&1
|
||||
if %errorlevel% equ 0 (
|
||||
set "PYTHON_CMD=python"
|
||||
goto run_server
|
||||
)
|
||||
|
||||
where python3 >nul 2>&1
|
||||
if %errorlevel% equ 0 (
|
||||
set "PYTHON_CMD=python3"
|
||||
goto run_server
|
||||
)
|
||||
|
||||
echo ❌ 未找到 Python 命令
|
||||
echo.
|
||||
echo 💡 请检查 Python 是否已安装并添加到 PATH
|
||||
echo.
|
||||
pause
|
||||
goto end
|
||||
|
||||
:run_server
|
||||
echo ✅ 使用命令: %PYTHON_CMD%
|
||||
echo.
|
||||
|
||||
:: 获取本机IP（如果可能）
|
||||
for /f "tokens=2 delims=:" %%a in ('ipconfig ^| findstr /i "IPv4" ^| findstr /v "127.0.0.1"') do (
|
||||
set "SERVER_IP=%%a"
|
||||
goto :ip_found
|
||||
)
|
||||
:ip_found
|
||||
if defined SERVER_IP (
|
||||
echo 🌐 检测到 IP: %SERVER_IP%
|
||||
) else (
|
||||
echo 🌐 使用 localhost 访问
|
||||
set "SERVER_IP=localhost"
|
||||
)
|
||||
|
||||
echo.
|
||||
echo 📱 访问地址:
|
||||
echo 主页: http://%SERVER_IP%:8000/pages/main.html
|
||||
echo 登录: http://%SERVER_IP%:8000/pages/login.html
|
||||
echo.
|
||||
echo ⚠️ 服务器启动在端口 8000
|
||||
echo 按 Ctrl+C 停止服务器
|
||||
echo.
|
||||
|
||||
if "%IS_WSL%"=="1" (
|
||||
echo 💡 WSL 环境提示: 如果无法访问 localhost，请检查网络配置
|
||||
echo.
|
||||
)
|
||||
|
||||
:: 启动服务器
|
||||
echo 🔧 启动中...
|
||||
echo.
|
||||
%PYTHON_CMD% -m http.server 8000
|
||||
|
||||
if %errorlevel% neq 0 (
|
||||
echo.
|
||||
echo ❌ 启动失败，请检查 Python 环境
|
||||
pause
|
||||
)
|
||||
|
||||
:end
|
||||
82
web/start.sh
82
web/start.sh
@@ -1,82 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
echo "🚀 启动大模型微调平台..."
|
||||
echo ""
|
||||
|
||||
# 确保在正确的目录中
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
cd "$SCRIPT_DIR"
|
||||
|
||||
echo "📂 当前目录: $SCRIPT_DIR"
|
||||
echo ""
|
||||
|
||||
# 获取本机IP地址
|
||||
SERVER_IP=$(hostname -I | awk '{print $1}')
|
||||
|
||||
echo "请选择启动方式:"
|
||||
echo "1) 直接打开文件（本地访问）"
|
||||
echo "2) 启动HTTP服务器（可通过IP访问）"
|
||||
echo ""
|
||||
|
||||
read -p "请输入选择 (1-2): " choice
|
||||
|
||||
case $choice in
|
||||
1)
|
||||
echo ""
|
||||
echo "🌐 打开本地文件..."
|
||||
echo " - 主页: file://$SCRIPT_DIR/pages/main.html"
|
||||
echo " - 登录: file://$SCRIPT_DIR/pages/login.html"
|
||||
echo ""
|
||||
|
||||
# 检测操作系统并打开浏览器
|
||||
if [[ "$OSTYPE" == "darwin"* ]]; then
|
||||
# macOS
|
||||
open "pages/main.html"
|
||||
elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
|
||||
# Linux
|
||||
xdg-open "pages/main.html"
|
||||
elif [[ "$OSTYPE" == "msys" ]] || [[ "$OSTYPE" == "cygwin" ]]; then
|
||||
# Windows (Git Bash or Cygwin)
|
||||
start "pages/main.html"
|
||||
else
|
||||
echo "请手动打开以下文件:"
|
||||
echo " $SCRIPT_DIR/pages/main.html"
|
||||
fi
|
||||
|
||||
echo "✅ 已在浏览器中打开主页"
|
||||
;;
|
||||
|
||||
2)
|
||||
echo ""
|
||||
echo "🌐 本机 IP 地址: $SERVER_IP"
|
||||
echo ""
|
||||
|
||||
# 检查Python是否可用
|
||||
if command -v python3 &> /dev/null; then
|
||||
PYTHON_CMD="python3"
|
||||
elif command -v python &> /dev/null; then
|
||||
PYTHON_CMD="python"
|
||||
else
|
||||
echo "❌ 错误: 未找到 Python"
|
||||
echo "请安装 Python 或使用方式 1 直接打开文件"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "📱 访问地址:"
|
||||
echo " - 主页: http://$SERVER_IP:8000/pages/main.html"
|
||||
echo " - 登录: http://$SERVER_IP:8000/pages/login.html"
|
||||
echo ""
|
||||
echo "⚠️ 服务器将在端口 8000 启动"
|
||||
echo "按 Ctrl+C 停止服务器"
|
||||
echo ""
|
||||
|
||||
# 启动HTTP服务器
|
||||
$PYTHON_CMD -m http.server 8000
|
||||
;;
|
||||
|
||||
*)
|
||||
echo "❌ 无效选择，请运行脚本重新选择"
|
||||
exit 1
|
||||
;;
|
||||
esac
|
||||
|
||||
Reference in New Issue
Block a user