开发环境配置与API接口实现更新

本次更新涉及开发环境配置的优化和多个API接口的实现。具体改动如下:

1. 更新了`next.config.mjs`文件,添加了React严格模式、转译包配置及跨域请求头设置,优化了开发体验并增强了API的安全性。
2. 在`package.json`文件中,添加了`@lobehub`相关插件包依赖及`axios`库,移除了重复的`next`依赖项,确保项目依赖的准确性和功能性。
3. 新增了`src/app/api/gateway/route.ts`和`src/app/api/generate/route.ts`文件,实现了网关和图像生成API的后端逻辑,为前端功能提供了支持。
4. 为`src/app/api/hello/route.ts`文件添加了GET和POST请求的实现,用于测试API接口的基本功能。
5. 在`public`目录下新增了`manifest-dev.json`和`manifest-vercel.json`文件,定义了插件的元数据、API接口和设置,为插件的部署和使用提供了配置基础。
6. 更新了`src/type/index.ts`文件,添加了图像生成API相关的接口定义,提高了代码的可读性和维护性。
7. 对`.idea`目录下的`dbnavigator.xml`和`vcs.xml`文件进行了版本控制相关的配置更新,确保开发环境的一致性和版本管理的效率。

通过本次更新,项目在功能实现和开发效率上都得到了提升,为后续的开发工作奠定了良好基础。
This commit is contained in:
alps 2024-08-01 16:27:52 +08:00
parent f8dc996107
commit daa3f03922
12 changed files with 8444 additions and 34 deletions

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.gitignore vendored
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# dependencies
/node_modules
/.pnp
.idea/
.pnp.js
.yarn/install-state.gz

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/** @type {import('next').NextConfig} */
const nextConfig = {};
const nextConfig = {
// output: 'standalone',
reactStrictMode: true,
transpilePackages: ['@lobehub/ui'],
async headers() {
return [
{
// matching all API routes
source: '/:path*',
headers: [
{ key: 'Access-Control-Allow-Credentials', value: 'true' },
{ key: 'Access-Control-Allow-Origin', value: '*' },
{ key: 'Access-Control-Allow-Methods', value: 'GET,OPTIONS,PATCH,DELETE,POST,PUT' },
{
key: 'Access-Control-Allow-Headers',
value:
'X-CSRF-Token, X-Requested-With, Accept, Accept-Version, Content-Length, Content-MD5, Content-Type, Date, X-Api-Version',
},
],
},
];
},
};
export default nextConfig;

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"lint": "next lint"
},
"dependencies": {
"@lobehub/chat-plugin-sdk": "^1.32.4",
"@lobehub/chat-plugins-gateway": "^1.9.0",
"@lobehub/ui": "^1.147.0",
"axios": "^1.7.2",
"next": "14.2.5",
"react": "^18",
"react-dom": "^18",
"next": "14.2.5"
"react-dom": "^18"
},
"devDependencies": {
"typescript": "^5",
"@types/node": "^20",
"@types/react": "^18",
"@types/react-dom": "^18",
"postcss": "^8",
"tailwindcss": "^3.4.1"
"tailwindcss": "^3.4.1",
"typescript": "^5"
}
}

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{
"identifier": "alps-tongyi-image",
"api": [
{
"url": "http://localhost:3000/api/generate",
"name": "generateImage",
"description": "Generate an image based on the given prompt using Alibaba's Tongyi Wanxiang model",
"parameters": {
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "The text prompt to generate the image from"
}
},
"required": ["prompt"]
}
}
],
"gateway": "http://localhost:3000/api/gateway",
"meta": {
"avatar": "🎉",
"description": "This plugin uses Alibaba's Tongyi Wanxiang model to generate images based on text prompts.",
"tags": ["image", "generator", "tongyi", "wanxiang", "alibaba"],
"title": "Tongyi wanxiang Image Generator"
},
"settings": {
"type": "object",
"required": ["ALIBABA_API_KEY"],
"properties": {
"ALIBABA_API_KEY": {
"type": "string",
"title": "Alibaba API Key",
"description": "The API key to use the Alibaba Tongyi Wanxiang model"
}
}
},
"version": "1",
"systemRole": "This plugin uses Alibaba's Tongyi Wanxiang model to generate images based on text prompts."
}

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{
"identifier": "alps-tongyi-image",
"api": [
{
"url": "http://localhost:3000/api/generate",
"name": "generateImage",
"description": "Generate an image based on the given prompt using Alibaba's Tongyi Wanxiang model",
"parameters": {
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "The text prompt to generate the image from"
}
},
"required": ["prompt"]
}
}
],
"gateway": "http://localhost:3000/api/gateway",
"meta": {
"avatar": "🎉",
"description": "This plugin uses Alibaba's Tongyi Wanxiang model to generate images based on text prompts.",
"tags": ["image", "generator", "tongyi", "wanxiang", "alibaba"],
"title": "Tongyi wanxiang Image Generator"
},
"settings": {
"type": "object",
"required": ["ALIBABA_API_KEY"],
"properties": {
"ALIBABA_API_KEY": {
"type": "string",
"title": "Alibaba API Key",
"description": "The API key to use the Alibaba Tongyi Wanxiang model"
}
}
},
"version": "1",
"systemRole": "This plugin uses Alibaba's Tongyi Wanxiang model to generate images based on text prompts."
}

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<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 394 80"><path fill="#000" d="M262 0h68.5v12.7h-27.2v66.6h-13.6V12.7H262V0ZM149 0v12.7H94v20.4h44.3v12.6H94v21h55v12.6H80.5V0h68.7zm34.3 0h-17.8l63.8 79.4h17.9l-32-39.7 32-39.6h-17.9l-23 28.6-23-28.6zm18.3 56.7-9-11-27.1 33.7h17.8l18.3-22.7z"/><path fill="#000" d="M81 79.3 17 0H0v79.3h13.6V17l50.2 62.3H81Zm252.6-.4c-1 0-1.8-.4-2.5-1s-1.1-1.6-1.1-2.6.3-1.8 1-2.5 1.6-1 2.6-1 1.8.3 2.5 1a3.4 3.4 0 0 1 .6 4.3 3.7 3.7 0 0 1-3 1.8zm23.2-33.5h6v23.3c0 2.1-.4 4-1.3 5.5a9.1 9.1 0 0 1-3.8 3.5c-1.6.8-3.5 1.3-5.7 1.3-2 0-3.7-.4-5.3-1s-2.8-1.8-3.7-3.2c-.9-1.3-1.4-3-1.4-5h6c.1.8.3 1.6.7 2.2s1 1.2 1.6 1.5c.7.4 1.5.5 2.4.5 1 0 1.8-.2 2.4-.6a4 4 0 0 0 1.6-1.8c.3-.8.5-1.8.5-3V45.5zm30.9 9.1a4.4 4.4 0 0 0-2-3.3 7.5 7.5 0 0 0-4.3-1.1c-1.3 0-2.4.2-3.3.5-.9.4-1.6 1-2 1.6a3.5 3.5 0 0 0-.3 4c.3.5.7.9 1.3 1.2l1.8 1 2 .5 3.2.8c1.3.3 2.5.7 3.7 1.2a13 13 0 0 1 3.2 1.8 8.1 8.1 0 0 1 3 6.5c0 2-.5 3.7-1.5 5.1a10 10 0 0 1-4.4 3.5c-1.8.8-4.1 1.2-6.8 1.2-2.6 0-4.9-.4-6.8-1.2-2-.8-3.4-2-4.5-3.5a10 10 0 0 1-1.7-5.6h6a5 5 0 0 0 3.5 4.6c1 .4 2.2.6 3.4.6 1.3 0 2.5-.2 3.5-.6 1-.4 1.8-1 2.4-1.7a4 4 0 0 0 .8-2.4c0-.9-.2-1.6-.7-2.2a11 11 0 0 0-2.1-1.4l-3.2-1-3.8-1c-2.8-.7-5-1.7-6.6-3.2a7.2 7.2 0 0 1-2.4-5.7 8 8 0 0 1 1.7-5 10 10 0 0 1 4.3-3.5c2-.8 4-1.2 6.4-1.2 2.3 0 4.4.4 6.2 1.2 1.8.8 3.2 2 4.3 3.4 1 1.4 1.5 3 1.5 5h-5.8z"/></svg>

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<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 283 64"><path fill="black" d="M141 16c-11 0-19 7-19 18s9 18 20 18c7 0 13-3 16-7l-7-5c-2 3-6 4-9 4-5 0-9-3-10-7h28v-3c0-11-8-18-19-18zm-9 15c1-4 4-7 9-7s8 3 9 7h-18zm117-15c-11 0-19 7-19 18s9 18 20 18c6 0 12-3 16-7l-8-5c-2 3-5 4-8 4-5 0-9-3-11-7h28l1-3c0-11-8-18-19-18zm-10 15c2-4 5-7 10-7s8 3 9 7h-19zm-39 3c0 6 4 10 10 10 4 0 7-2 9-5l8 5c-3 5-9 8-17 8-11 0-19-7-19-18s8-18 19-18c8 0 14 3 17 8l-8 5c-2-3-5-5-9-5-6 0-10 4-10 10zm83-29v46h-9V5h9zM37 0l37 64H0L37 0zm92 5-27 48L74 5h10l18 30 17-30h10zm59 12v10l-3-1c-6 0-10 4-10 10v15h-9V17h9v9c0-5 6-9 13-9z"/></svg>

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import {createGatewayOnEdgeRuntime} from "@lobehub/chat-plugins-gateway";
import {NextRequest, NextResponse} from "next/server";
export async function OPTIONS(req: NextRequest, res: NextResponse) {
return createGatewayOnEdgeRuntime()(req)
}
export async function POST(req: Request) {
console.log('in gateway', process.env.NODE_ENV)
if (process.env.NODE_ENV === 'development') {
return createGatewayOnEdgeRuntime()(req)
}
return new Response('gateway')
}

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import {NextRequest, NextResponse} from "next/server";
import {createErrorResponse, getPluginSettingsFromRequest, PluginErrorType} from "@lobehub/chat-plugin-sdk";
import {IImageGenerationResponse, IImageGenerationResult, IImageGenerationStatusResponse, Settings} from "@/type";
import axios from "axios";
const BASE_URL = process.env.BASE_URL || 'https://api.alibabacloud.com'
export async function POST(req: NextRequest) {
try {
let settings = getPluginSettingsFromRequest<Settings>(req);
if (!settings)
return createErrorResponse(PluginErrorType.PluginSettingsInvalid, {
message: 'Plugin settings not found.',
});
const apiKey = settings.ALIBABA_API_KEY
const body = await req.json();
const { prompt } = body
// 调用阿里云的API生成图片
const response = await axios.post(
`${BASE_URL}/services/aigc/text2image/image-synthesis`,
{
model: 'wanx-v1',
input: {
prompt: prompt
},
parameters: {
n: 1,
},
},
{
headers: {
'X-DashScope-Async': 'enable',
'Authorization': `Bearer ${apiKey}`,
'Content-Type': 'application/json',
}
}
);
if (response.status !== 200) {
if (response.status === 401) {
return createErrorResponse(PluginErrorType.PluginSettingsInvalid, {
message: 'Invalid API key.'
})
}
console.error('Failed to generate image:', response.data);
return NextResponse.json({
message: 'Failed to generate image.'
})
}
const respData: IImageGenerationResponse = response.data;
const taskId = respData.output.task_id;
// 检查图片生成的状态
let statusData: IImageGenerationStatusResponse;
do {
// 请求接口获取状态
const statusResponse = await axios.get(
`${BASE_URL}/tasks/${taskId}`,
{
headers: {
Authorization: `Bearer ${apiKey}`,
},
});
statusData = statusResponse.data;
// 间隔500ms
await new Promise((resolve) => setTimeout(resolve, 500));
} while(statusData.output.task_status === 'RUNNING' || statusData.output.task_status === 'PENDING');
if (statusData.output.task_status !== 'SUCCEEDED') {
console.error('Failed to generate image:', statusData);
return NextResponse.json({
message: 'Failed to generate image.'
})
}
// 解析图片地址
const results: IImageGenerationResult[] | undefined = statusData.output.results
const imageUrl = results ? results[0].url : ''
// 构建 Markdown 格式的响应
const markdownResponse = `
![Generated Image](${imageUrl})
*提示词: ${prompt}*
`.trim();
// 返回生成的图片URL
return NextResponse.json({ markdownResponse });
} catch (error) {
console.error('Error generating image:', error);
return NextResponse.json({
message: 'Failed to generate image.'
})
}
}

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import {NextResponse} from "next/server";
export async function GET(request: Request) {
return NextResponse.json({
message: "Hello World!"
})
}
export async function POST(request: Request) {
return NextResponse.json({
message: "Hello World!"
})
}

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/**
* @description: This file contains all the typescript interfaces used in the application.
*/
// Image Generation API
export interface IImageGenerationResponse {
code?: string;
message?: string;
request_id: string;
output: {
task_id: string;
task_status: string;
}
}
// Image Generation Result API
export interface IImageGenerationResult {
url?: string;
code?: string;
message?: string;
}
// Image Generation Status API
export interface IImageGenerationStatusResponse {
request_id: string;
usage: {
image_count: number;
};
output: {
code?: string;
message?: string;
task_id: string;
task_status: 'PENDING' | 'RUNNING' | 'SUCCEEDED' | 'FAILED' | 'UNKNOWN';
results?: IImageGenerationResult[];
task_metrics: {
TOTAL: number;
SUCCESS: number;
FAILED: number;
}
}
}
export interface Settings {
ALIBABA_API_KEY: string;
}