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4
.gitignore
vendored
4
.gitignore
vendored
@ -2,6 +2,7 @@
|
||||
node_modules/
|
||||
npm-debug.log
|
||||
yarn-error.log
|
||||
package-lock.json
|
||||
|
||||
# Build output
|
||||
/.next/
|
||||
@ -37,3 +38,6 @@ Thumbs.db
|
||||
# Db
|
||||
db.sqlite
|
||||
/searxng
|
||||
|
||||
# Dev
|
||||
docker-compose-dev.yaml
|
||||
|
@ -2,7 +2,6 @@
|
||||
|
||||
[](https://discord.gg/26aArMy8tT)
|
||||
|
||||
|
||||

|
||||
|
||||
## Table of Contents <!-- omit in toc -->
|
||||
@ -44,7 +43,7 @@ Want to know more about its architecture and how it works? You can read it [here
|
||||
- **Normal Mode:** Processes your query and performs a web search.
|
||||
- **Focus Modes:** Special modes to better answer specific types of questions. Perplexica currently has 6 focus modes:
|
||||
- **All Mode:** Searches the entire web to find the best results.
|
||||
- **Writing Assistant Mode:** Helpful for writing tasks that does not require searching the web.
|
||||
- **Writing Assistant Mode:** Helpful for writing tasks that do not require searching the web.
|
||||
- **Academic Search Mode:** Finds articles and papers, ideal for academic research.
|
||||
- **YouTube Search Mode:** Finds YouTube videos based on the search query.
|
||||
- **Wolfram Alpha Search Mode:** Answers queries that need calculations or data analysis using Wolfram Alpha.
|
||||
@ -143,6 +142,7 @@ You can access Perplexica over your home network by following our networking gui
|
||||
|
||||
## One-Click Deployment
|
||||
|
||||
[](https://usw.sealos.io/?openapp=system-template%3FtemplateName%3Dperplexica)
|
||||
[](https://repocloud.io/details/?app_id=267)
|
||||
|
||||
## Upcoming Features
|
||||
|
@ -4,7 +4,7 @@ services:
|
||||
volumes:
|
||||
- ./searxng:/etc/searxng:rw
|
||||
ports:
|
||||
- 4000:8080
|
||||
- '4000:8080'
|
||||
networks:
|
||||
- perplexica-network
|
||||
restart: unless-stopped
|
||||
@ -19,7 +19,7 @@ services:
|
||||
depends_on:
|
||||
- searxng
|
||||
ports:
|
||||
- 3001:3001
|
||||
- '3001:3001'
|
||||
volumes:
|
||||
- backend-dbstore:/home/perplexica/data
|
||||
- uploads:/home/perplexica/uploads
|
||||
@ -41,7 +41,7 @@ services:
|
||||
depends_on:
|
||||
- perplexica-backend
|
||||
ports:
|
||||
- 3000:3000
|
||||
- '3000:3000'
|
||||
networks:
|
||||
- perplexica-network
|
||||
restart: unless-stopped
|
||||
|
@ -7,34 +7,43 @@ To update Perplexica to the latest version, follow these steps:
|
||||
1. Clone the latest version of Perplexica from GitHub:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/ItzCrazyKns/Perplexica.git
|
||||
git clone https://github.com/ItzCrazyKns/Perplexica.git
|
||||
```
|
||||
|
||||
2. Navigate to the Project Directory.
|
||||
2. Navigate to the project directory.
|
||||
|
||||
3. Pull latest images from registry.
|
||||
3. Check for changes in the configuration files. If the `sample.config.toml` file contains new fields, delete your existing `config.toml` file, rename `sample.config.toml` to `config.toml`, and update the configuration accordingly.
|
||||
|
||||
4. Pull the latest images from the registry.
|
||||
|
||||
```bash
|
||||
docker compose pull
|
||||
```
|
||||
|
||||
4. Update and Recreate containers.
|
||||
5. Update and recreate the containers.
|
||||
|
||||
```bash
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
5. Once the command completes running go to http://localhost:3000 and verify the latest changes.
|
||||
6. Once the command completes, go to http://localhost:3000 and verify the latest changes.
|
||||
|
||||
## For non Docker users
|
||||
## For non-Docker users
|
||||
|
||||
1. Clone the latest version of Perplexica from GitHub:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/ItzCrazyKns/Perplexica.git
|
||||
git clone https://github.com/ItzCrazyKns/Perplexica.git
|
||||
```
|
||||
|
||||
2. Navigate to the Project Directory
|
||||
3. Execute `npm i` in both the `ui` folder and the root directory.
|
||||
4. Once packages are updated, execute `npm run build` in both the `ui` folder and the root directory.
|
||||
5. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
|
||||
2. Navigate to the project directory.
|
||||
|
||||
3. Check for changes in the configuration files. If the `sample.config.toml` file contains new fields, delete your existing `config.toml` file, rename `sample.config.toml` to `config.toml`, and update the configuration accordingly.
|
||||
|
||||
4. Execute `npm i` in both the `ui` folder and the root directory.
|
||||
|
||||
5. Once the packages are updated, execute `npm run build` in both the `ui` folder and the root directory.
|
||||
|
||||
6. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
|
||||
|
||||
---
|
||||
|
@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "perplexica-backend",
|
||||
"version": "1.10.0-rc2",
|
||||
"version": "1.10.0-rc3",
|
||||
"license": "MIT",
|
||||
"author": "ItzCrazyKns",
|
||||
"scripts": {
|
||||
@ -30,8 +30,8 @@
|
||||
"@iarna/toml": "^2.2.5",
|
||||
"@langchain/anthropic": "^0.2.3",
|
||||
"@langchain/community": "^0.2.16",
|
||||
"@langchain/openai": "^0.0.25",
|
||||
"@langchain/google-genai": "^0.0.23",
|
||||
"@langchain/openai": "^0.0.25",
|
||||
"@xenova/transformers": "^2.17.1",
|
||||
"axios": "^1.6.8",
|
||||
"better-sqlite3": "^11.0.0",
|
||||
|
@ -3,12 +3,43 @@ PORT = 3001 # Port to run the server on
|
||||
SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
|
||||
KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
|
||||
|
||||
[API_KEYS]
|
||||
OPENAI = "" # OpenAI API key - sk-1234567890abcdef1234567890abcdef
|
||||
GROQ = "" # Groq API key - gsk_1234567890abcdef1234567890abcdef
|
||||
ANTHROPIC = "" # Anthropic API key - sk-ant-1234567890abcdef1234567890abcdef
|
||||
GEMINI = "" # Gemini API key - sk-1234567890abcdef1234567890abcdef
|
||||
[SEARCH_ENGINE_BACKENDS] # "google" | "searxng" | "bing" | "brave" | "yacy"
|
||||
SEARCH = "searxng"
|
||||
IMAGE = "searxng"
|
||||
VIDEO = "searxng"
|
||||
NEWS = "searxng"
|
||||
|
||||
[API_ENDPOINTS]
|
||||
SEARXNG = "http://localhost:32768" # SearxNG API URL
|
||||
OLLAMA = "" # Ollama API URL - http://host.docker.internal:11434
|
||||
[MODELS.OPENAI]
|
||||
API_KEY = ""
|
||||
|
||||
[MODELS.GROQ]
|
||||
API_KEY = ""
|
||||
|
||||
[MODELS.ANTHROPIC]
|
||||
API_KEY = ""
|
||||
|
||||
[MODELS.GEMINI]
|
||||
API_KEY = ""
|
||||
|
||||
[MODELS.CUSTOM_OPENAI]
|
||||
API_KEY = ""
|
||||
API_URL = ""
|
||||
|
||||
[MODELS.OLLAMA]
|
||||
API_URL = "" # Ollama API URL - http://host.docker.internal:11434
|
||||
|
||||
[SEARCH_ENGINES.GOOGLE]
|
||||
API_KEY = ""
|
||||
CSE_ID = ""
|
||||
|
||||
[SEARCH_ENGINES.SEARXNG]
|
||||
ENDPOINT = ""
|
||||
|
||||
[SEARCH_ENGINES.BING]
|
||||
SUBSCRIPTION_KEY = ""
|
||||
|
||||
[SEARCH_ENGINES.BRAVE]
|
||||
API_KEY = ""
|
||||
|
||||
[SEARCH_ENGINES.YACY]
|
||||
ENDPOINT = ""
|
||||
|
@ -15,3 +15,5 @@ server:
|
||||
engines:
|
||||
- name: wolframalpha
|
||||
disabled: false
|
||||
- name: qwant
|
||||
disabled: true
|
||||
|
@ -7,7 +7,12 @@ import { PromptTemplate } from '@langchain/core/prompts';
|
||||
import formatChatHistoryAsString from '../utils/formatHistory';
|
||||
import { BaseMessage } from '@langchain/core/messages';
|
||||
import { StringOutputParser } from '@langchain/core/output_parsers';
|
||||
import { searchSearxng } from '../lib/searxng';
|
||||
import { searchSearxng } from '../lib/searchEngines/searxng';
|
||||
import { searchGooglePSE } from '../lib/searchEngines/google_pse';
|
||||
import { searchBraveAPI } from '../lib/searchEngines/brave';
|
||||
import { searchYaCy } from '../lib/searchEngines/yacy';
|
||||
import { searchBingAPI } from '../lib/searchEngines/bing';
|
||||
import { getImageSearchEngineBackend } from '../config';
|
||||
import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
|
||||
|
||||
const imageSearchChainPrompt = `
|
||||
@ -36,6 +41,103 @@ type ImageSearchChainInput = {
|
||||
query: string;
|
||||
};
|
||||
|
||||
async function performImageSearch(query: string) {
|
||||
const searchEngine = getImageSearchEngineBackend();
|
||||
let images = [];
|
||||
|
||||
switch (searchEngine) {
|
||||
case 'google': {
|
||||
const googleResult = await searchGooglePSE(query);
|
||||
images = googleResult.results
|
||||
.map((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
return {
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
source: result.displayLink,
|
||||
};
|
||||
}
|
||||
})
|
||||
.filter(Boolean);
|
||||
break;
|
||||
}
|
||||
|
||||
case 'searxng': {
|
||||
const searxResult = await searchSearxng(query, {
|
||||
engines: ['google images', 'bing images'],
|
||||
pageno: 1,
|
||||
});
|
||||
searxResult.results.forEach((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
images.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'brave': {
|
||||
const braveResult = await searchBraveAPI(query);
|
||||
images = braveResult.results
|
||||
.map((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
return {
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
source: result.url,
|
||||
};
|
||||
}
|
||||
})
|
||||
.filter(Boolean);
|
||||
break;
|
||||
}
|
||||
|
||||
case 'yacy': {
|
||||
const yacyResult = await searchYaCy(query);
|
||||
images = yacyResult.results
|
||||
.map((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
return {
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
source: result.url,
|
||||
};
|
||||
}
|
||||
})
|
||||
.filter(Boolean);
|
||||
break;
|
||||
}
|
||||
|
||||
case 'bing': {
|
||||
const bingResult = await searchBingAPI(query);
|
||||
images = bingResult.results
|
||||
.map((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
return {
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
source: result.url,
|
||||
};
|
||||
}
|
||||
})
|
||||
.filter(Boolean);
|
||||
break;
|
||||
}
|
||||
|
||||
default:
|
||||
throw new Error(`Unknown search engine ${searchEngine}`);
|
||||
}
|
||||
|
||||
return images;
|
||||
}
|
||||
|
||||
const strParser = new StringOutputParser();
|
||||
|
||||
const createImageSearchChain = (llm: BaseChatModel) => {
|
||||
@ -52,22 +154,7 @@ const createImageSearchChain = (llm: BaseChatModel) => {
|
||||
llm,
|
||||
strParser,
|
||||
RunnableLambda.from(async (input: string) => {
|
||||
const res = await searchSearxng(input, {
|
||||
engines: ['bing images', 'google images'],
|
||||
});
|
||||
|
||||
const images = [];
|
||||
|
||||
res.results.forEach((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
images.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
const images = await performImageSearch(input);
|
||||
return images.slice(0, 10);
|
||||
}),
|
||||
]);
|
||||
|
@ -7,26 +7,30 @@ import { PromptTemplate } from '@langchain/core/prompts';
|
||||
import formatChatHistoryAsString from '../utils/formatHistory';
|
||||
import { BaseMessage } from '@langchain/core/messages';
|
||||
import { StringOutputParser } from '@langchain/core/output_parsers';
|
||||
import { searchSearxng } from '../lib/searxng';
|
||||
import { searchSearxng } from '../lib/searchEngines/searxng';
|
||||
import { searchGooglePSE } from '../lib/searchEngines/google_pse';
|
||||
import { searchBraveAPI } from '../lib/searchEngines/brave';
|
||||
import { searchBingAPI } from '../lib/searchEngines/bing';
|
||||
import { getVideoSearchEngineBackend } from '../config';
|
||||
import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
|
||||
|
||||
const VideoSearchChainPrompt = `
|
||||
You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
|
||||
You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
|
||||
|
||||
|
||||
Example:
|
||||
1. Follow up question: How does a car work?
|
||||
Rephrased: How does a car work?
|
||||
|
||||
|
||||
2. Follow up question: What is the theory of relativity?
|
||||
Rephrased: What is theory of relativity
|
||||
|
||||
|
||||
3. Follow up question: How does an AC work?
|
||||
Rephrased: How does an AC work
|
||||
|
||||
|
||||
Conversation:
|
||||
{chat_history}
|
||||
|
||||
|
||||
Follow up question: {query}
|
||||
Rephrased question:
|
||||
`;
|
||||
@ -38,6 +42,102 @@ type VideoSearchChainInput = {
|
||||
|
||||
const strParser = new StringOutputParser();
|
||||
|
||||
async function performVideoSearch(query: string) {
|
||||
const searchEngine = getVideoSearchEngineBackend();
|
||||
const youtubeQuery = `${query} site:youtube.com`;
|
||||
let videos = [];
|
||||
|
||||
switch (searchEngine) {
|
||||
case 'google': {
|
||||
const googleResult = await searchGooglePSE(youtubeQuery);
|
||||
googleResult.results.forEach((result) => {
|
||||
// Use .results instead of .originalres
|
||||
if (result.img_src && result.url && result.title) {
|
||||
const videoId = new URL(result.url).searchParams.get('v');
|
||||
videos.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
iframe_src: videoId
|
||||
? `https://www.youtube.com/embed/${videoId}`
|
||||
: null,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'searxng': {
|
||||
const searxResult = await searchSearxng(query, {
|
||||
engines: ['youtube'],
|
||||
});
|
||||
searxResult.results.forEach((result) => {
|
||||
if (
|
||||
result.thumbnail &&
|
||||
result.url &&
|
||||
result.title &&
|
||||
result.iframe_src
|
||||
) {
|
||||
videos.push({
|
||||
img_src: result.thumbnail,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
iframe_src: result.iframe_src,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'brave': {
|
||||
const braveResult = await searchBraveAPI(youtubeQuery);
|
||||
braveResult.results.forEach((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
const videoId = new URL(result.url).searchParams.get('v');
|
||||
videos.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
iframe_src: videoId
|
||||
? `https://www.youtube.com/embed/${videoId}`
|
||||
: null,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'yacy': {
|
||||
console.log('Not available for yacy');
|
||||
videos = [];
|
||||
break;
|
||||
}
|
||||
|
||||
case 'bing': {
|
||||
const bingResult = await searchBingAPI(youtubeQuery);
|
||||
bingResult.results.forEach((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
const videoId = new URL(result.url).searchParams.get('v');
|
||||
videos.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
iframe_src: videoId
|
||||
? `https://www.youtube.com/embed/${videoId}`
|
||||
: null,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
default:
|
||||
throw new Error(`Unknown search engine ${searchEngine}`);
|
||||
}
|
||||
|
||||
return videos;
|
||||
}
|
||||
|
||||
const createVideoSearchChain = (llm: BaseChatModel) => {
|
||||
return RunnableSequence.from([
|
||||
RunnableMap.from({
|
||||
@ -52,28 +152,7 @@ const createVideoSearchChain = (llm: BaseChatModel) => {
|
||||
llm,
|
||||
strParser,
|
||||
RunnableLambda.from(async (input: string) => {
|
||||
const res = await searchSearxng(input, {
|
||||
engines: ['youtube'],
|
||||
});
|
||||
|
||||
const videos = [];
|
||||
|
||||
res.results.forEach((result) => {
|
||||
if (
|
||||
result.thumbnail &&
|
||||
result.url &&
|
||||
result.title &&
|
||||
result.iframe_src
|
||||
) {
|
||||
videos.push({
|
||||
img_src: result.thumbnail,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
iframe_src: result.iframe_src,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
const videos = await performVideoSearch(input);
|
||||
return videos.slice(0, 10);
|
||||
}),
|
||||
]);
|
||||
|
143
src/config.ts
143
src/config.ts
@ -10,15 +10,51 @@ interface Config {
|
||||
SIMILARITY_MEASURE: string;
|
||||
KEEP_ALIVE: string;
|
||||
};
|
||||
API_KEYS: {
|
||||
OPENAI: string;
|
||||
GROQ: string;
|
||||
ANTHROPIC: string;
|
||||
GEMINI: string;
|
||||
SEARCH_ENGINE_BACKENDS: {
|
||||
SEARCH: string;
|
||||
IMAGE: string;
|
||||
VIDEO: string;
|
||||
NEWS: string;
|
||||
};
|
||||
API_ENDPOINTS: {
|
||||
SEARXNG: string;
|
||||
OLLAMA: string;
|
||||
MODELS: {
|
||||
OPENAI: {
|
||||
API_KEY: string;
|
||||
};
|
||||
GROQ: {
|
||||
API_KEY: string;
|
||||
};
|
||||
ANTHROPIC: {
|
||||
API_KEY: string;
|
||||
};
|
||||
GEMINI: {
|
||||
API_KEY: string;
|
||||
};
|
||||
OLLAMA: {
|
||||
API_URL: string;
|
||||
};
|
||||
CUSTOM_OPENAI: {
|
||||
API_URL: string;
|
||||
API_KEY: string;
|
||||
MODEL_NAME: string;
|
||||
};
|
||||
};
|
||||
SEARCH_ENGINES: {
|
||||
GOOGLE: {
|
||||
API_KEY: string;
|
||||
CSE_ID: string;
|
||||
};
|
||||
SEARXNG: {
|
||||
ENDPOINT: string;
|
||||
};
|
||||
BING: {
|
||||
SUBSCRIPTION_KEY: string;
|
||||
};
|
||||
BRAVE: {
|
||||
API_KEY: string;
|
||||
};
|
||||
YACY: {
|
||||
ENDPOINT: string;
|
||||
};
|
||||
};
|
||||
}
|
||||
|
||||
@ -38,42 +74,89 @@ export const getSimilarityMeasure = () =>
|
||||
|
||||
export const getKeepAlive = () => loadConfig().GENERAL.KEEP_ALIVE;
|
||||
|
||||
export const getOpenaiApiKey = () => loadConfig().API_KEYS.OPENAI;
|
||||
export const getOpenaiApiKey = () => loadConfig().MODELS.OPENAI.API_KEY;
|
||||
|
||||
export const getGroqApiKey = () => loadConfig().API_KEYS.GROQ;
|
||||
export const getGroqApiKey = () => loadConfig().MODELS.GROQ.API_KEY;
|
||||
|
||||
export const getAnthropicApiKey = () => loadConfig().API_KEYS.ANTHROPIC;
|
||||
export const getAnthropicApiKey = () => loadConfig().MODELS.ANTHROPIC.API_KEY;
|
||||
|
||||
export const getGeminiApiKey = () => loadConfig().API_KEYS.GEMINI;
|
||||
export const getGeminiApiKey = () => loadConfig().MODELS.GEMINI.API_KEY;
|
||||
|
||||
export const getSearchEngineBackend = () =>
|
||||
loadConfig().SEARCH_ENGINE_BACKENDS.SEARCH;
|
||||
|
||||
export const getImageSearchEngineBackend = () =>
|
||||
loadConfig().SEARCH_ENGINE_BACKENDS.IMAGE || getSearchEngineBackend();
|
||||
|
||||
export const getVideoSearchEngineBackend = () =>
|
||||
loadConfig().SEARCH_ENGINE_BACKENDS.VIDEO || getSearchEngineBackend();
|
||||
|
||||
export const getNewsSearchEngineBackend = () =>
|
||||
loadConfig().SEARCH_ENGINE_BACKENDS.NEWS || getSearchEngineBackend();
|
||||
|
||||
export const getGoogleApiKey = () => loadConfig().SEARCH_ENGINES.GOOGLE.API_KEY;
|
||||
|
||||
export const getGoogleCseId = () => loadConfig().SEARCH_ENGINES.GOOGLE.CSE_ID;
|
||||
|
||||
export const getBraveApiKey = () => loadConfig().SEARCH_ENGINES.BRAVE.API_KEY;
|
||||
|
||||
export const getBingSubscriptionKey = () =>
|
||||
loadConfig().SEARCH_ENGINES.BING.SUBSCRIPTION_KEY;
|
||||
|
||||
export const getYacyJsonEndpoint = () =>
|
||||
loadConfig().SEARCH_ENGINES.YACY.ENDPOINT;
|
||||
|
||||
export const getSearxngApiEndpoint = () =>
|
||||
process.env.SEARXNG_API_URL || loadConfig().API_ENDPOINTS.SEARXNG;
|
||||
process.env.SEARXNG_API_URL || loadConfig().SEARCH_ENGINES.SEARXNG.ENDPOINT;
|
||||
|
||||
export const getOllamaApiEndpoint = () => loadConfig().API_ENDPOINTS.OLLAMA;
|
||||
export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
|
||||
|
||||
export const updateConfig = (config: RecursivePartial<Config>) => {
|
||||
const currentConfig = loadConfig();
|
||||
export const getCustomOpenaiApiKey = () =>
|
||||
loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
|
||||
|
||||
for (const key in currentConfig) {
|
||||
if (!config[key]) config[key] = {};
|
||||
export const getCustomOpenaiApiUrl = () =>
|
||||
loadConfig().MODELS.CUSTOM_OPENAI.API_URL;
|
||||
|
||||
if (typeof currentConfig[key] === 'object' && currentConfig[key] !== null) {
|
||||
for (const nestedKey in currentConfig[key]) {
|
||||
if (
|
||||
!config[key][nestedKey] &&
|
||||
currentConfig[key][nestedKey] &&
|
||||
config[key][nestedKey] !== ''
|
||||
) {
|
||||
config[key][nestedKey] = currentConfig[key][nestedKey];
|
||||
}
|
||||
export const getCustomOpenaiModelName = () =>
|
||||
loadConfig().MODELS.CUSTOM_OPENAI.MODEL_NAME;
|
||||
|
||||
const mergeConfigs = (current: any, update: any): any => {
|
||||
if (update === null || update === undefined) {
|
||||
return current;
|
||||
}
|
||||
|
||||
if (typeof current !== 'object' || current === null) {
|
||||
return update;
|
||||
}
|
||||
|
||||
const result = { ...current };
|
||||
|
||||
for (const key in update) {
|
||||
if (Object.prototype.hasOwnProperty.call(update, key)) {
|
||||
const updateValue = update[key];
|
||||
|
||||
if (
|
||||
typeof updateValue === 'object' &&
|
||||
updateValue !== null &&
|
||||
typeof result[key] === 'object' &&
|
||||
result[key] !== null
|
||||
) {
|
||||
result[key] = mergeConfigs(result[key], updateValue);
|
||||
} else if (updateValue !== undefined) {
|
||||
result[key] = updateValue;
|
||||
}
|
||||
} else if (currentConfig[key] && config[key] !== '') {
|
||||
config[key] = currentConfig[key];
|
||||
}
|
||||
}
|
||||
|
||||
return result;
|
||||
};
|
||||
|
||||
export const updateConfig = (config: RecursivePartial<Config>) => {
|
||||
const currentConfig = loadConfig();
|
||||
const mergedConfig = mergeConfigs(currentConfig, config);
|
||||
|
||||
fs.writeFileSync(
|
||||
path.join(__dirname, `../${configFileName}`),
|
||||
toml.stringify(config),
|
||||
toml.stringify(mergedConfig),
|
||||
);
|
||||
};
|
||||
|
@ -4,6 +4,12 @@ import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
|
||||
import { loadAnthropicChatModels } from './anthropic';
|
||||
import { loadTransformersEmbeddingsModels } from './transformers';
|
||||
import { loadGeminiChatModels, loadGeminiEmbeddingsModels } from './gemini';
|
||||
import {
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiModelName,
|
||||
} from '../../config';
|
||||
import { ChatOpenAI } from '@langchain/openai';
|
||||
|
||||
const chatModelProviders = {
|
||||
openai: loadOpenAIChatModels,
|
||||
@ -30,7 +36,27 @@ export const getAvailableChatModelProviders = async () => {
|
||||
}
|
||||
}
|
||||
|
||||
models['custom_openai'] = {};
|
||||
const customOpenAiApiKey = getCustomOpenaiApiKey();
|
||||
const customOpenAiApiUrl = getCustomOpenaiApiUrl();
|
||||
const customOpenAiModelName = getCustomOpenaiModelName();
|
||||
|
||||
models['custom_openai'] = {
|
||||
...(customOpenAiApiKey && customOpenAiApiUrl && customOpenAiModelName
|
||||
? {
|
||||
[customOpenAiModelName]: {
|
||||
displayName: customOpenAiModelName,
|
||||
model: new ChatOpenAI({
|
||||
openAIApiKey: customOpenAiApiKey,
|
||||
modelName: customOpenAiModelName,
|
||||
temperature: 0.7,
|
||||
configuration: {
|
||||
baseURL: customOpenAiApiUrl,
|
||||
},
|
||||
}),
|
||||
},
|
||||
}
|
||||
: {}),
|
||||
};
|
||||
|
||||
return models;
|
||||
};
|
||||
|
105
src/lib/searchEngines/bing.ts
Normal file
105
src/lib/searchEngines/bing.ts
Normal file
@ -0,0 +1,105 @@
|
||||
import axios from 'axios';
|
||||
import { getBingSubscriptionKey } from '../../config';
|
||||
|
||||
interface BingAPISearchResult {
|
||||
_type: string;
|
||||
name: string;
|
||||
url: string;
|
||||
displayUrl: string;
|
||||
snippet?: string;
|
||||
dateLastCrawled?: string;
|
||||
thumbnailUrl?: string;
|
||||
contentUrl?: string;
|
||||
hostPageUrl?: string;
|
||||
width?: number;
|
||||
height?: number;
|
||||
accentColor?: string;
|
||||
contentSize?: string;
|
||||
datePublished?: string;
|
||||
encodingFormat?: string;
|
||||
hostPageDisplayUrl?: string;
|
||||
id?: string;
|
||||
isLicensed?: boolean;
|
||||
isFamilyFriendly?: boolean;
|
||||
language?: string;
|
||||
mediaUrl?: string;
|
||||
motionThumbnailUrl?: string;
|
||||
publisher?: string;
|
||||
viewCount?: number;
|
||||
webSearchUrl?: string;
|
||||
primaryImageOfPage?: {
|
||||
thumbnailUrl?: string;
|
||||
width?: number;
|
||||
height?: number;
|
||||
};
|
||||
video?: {
|
||||
allowHttpsEmbed?: boolean;
|
||||
embedHtml?: string;
|
||||
allowMobileEmbed?: boolean;
|
||||
viewCount?: number;
|
||||
duration?: string;
|
||||
};
|
||||
image?: {
|
||||
thumbnail?: {
|
||||
contentUrl?: string;
|
||||
width?: number;
|
||||
height?: number;
|
||||
};
|
||||
imageInsightsToken?: string;
|
||||
imageId?: string;
|
||||
};
|
||||
}
|
||||
|
||||
export const searchBingAPI = async (query: string) => {
|
||||
try {
|
||||
const bingApiKey = await getBingSubscriptionKey();
|
||||
const url = new URL(`https://api.cognitive.microsoft.com/bing/v7.0/search`);
|
||||
url.searchParams.append('q', query);
|
||||
url.searchParams.append('responseFilter', 'Webpages,Images,Videos');
|
||||
|
||||
const res = await axios.get(url.toString(), {
|
||||
headers: {
|
||||
'Ocp-Apim-Subscription-Key': bingApiKey,
|
||||
Accept: 'application/json',
|
||||
},
|
||||
});
|
||||
|
||||
if (res.data.error) {
|
||||
throw new Error(`Bing API Error: ${res.data.error.message}`);
|
||||
}
|
||||
|
||||
const originalres = res.data;
|
||||
|
||||
// Extract web, image, and video results
|
||||
const webResults = originalres.webPages?.value || [];
|
||||
const imageResults = originalres.images?.value || [];
|
||||
const videoResults = originalres.videos?.value || [];
|
||||
|
||||
const results = webResults.map((item: BingAPISearchResult) => ({
|
||||
title: item.name,
|
||||
url: item.url,
|
||||
content: item.snippet,
|
||||
img_src:
|
||||
item.primaryImageOfPage?.thumbnailUrl ||
|
||||
imageResults.find((img: any) => img.hostPageUrl === item.url)
|
||||
?.thumbnailUrl ||
|
||||
videoResults.find((vid: any) => vid.hostPageUrl === item.url)
|
||||
?.thumbnailUrl,
|
||||
...(item.video && {
|
||||
videoData: {
|
||||
duration: item.video.duration,
|
||||
embedUrl: item.video.embedHtml?.match(/src="(.*?)"/)?.[1],
|
||||
},
|
||||
publisher: item.publisher,
|
||||
datePublished: item.datePublished,
|
||||
}),
|
||||
}));
|
||||
|
||||
return { results, originalres };
|
||||
} catch (error) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message || 'Unknown error';
|
||||
throw new Error(`Bing API Error: ${errorMessage}`);
|
||||
}
|
||||
};
|
102
src/lib/searchEngines/brave.ts
Normal file
102
src/lib/searchEngines/brave.ts
Normal file
@ -0,0 +1,102 @@
|
||||
import axios from 'axios';
|
||||
import { getBraveApiKey } from '../../config';
|
||||
|
||||
interface BraveSearchResult {
|
||||
title: string;
|
||||
url: string;
|
||||
content?: string;
|
||||
img_src?: string;
|
||||
age?: string;
|
||||
family_friendly?: boolean;
|
||||
language?: string;
|
||||
video?: {
|
||||
embedUrl?: string;
|
||||
duration?: string;
|
||||
};
|
||||
rating?: {
|
||||
value: number;
|
||||
scale: number;
|
||||
};
|
||||
products?: Array<{
|
||||
name: string;
|
||||
price?: string;
|
||||
}>;
|
||||
recipe?: {
|
||||
ingredients?: string[];
|
||||
cookTime?: string;
|
||||
};
|
||||
meta?: {
|
||||
fetched?: string;
|
||||
lastCrawled?: string;
|
||||
};
|
||||
}
|
||||
|
||||
export const searchBraveAPI = async (
|
||||
query: string,
|
||||
numResults: number = 20,
|
||||
): Promise<{ results: BraveSearchResult[]; originalres: any }> => {
|
||||
try {
|
||||
const braveApiKey = await getBraveApiKey();
|
||||
const url = new URL(`https://api.search.brave.com/res/v1/web/search`);
|
||||
|
||||
url.searchParams.append('q', query);
|
||||
url.searchParams.append('count', numResults.toString());
|
||||
|
||||
const res = await axios.get(url.toString(), {
|
||||
headers: {
|
||||
'X-Subscription-Token': braveApiKey,
|
||||
Accept: 'application/json',
|
||||
},
|
||||
});
|
||||
|
||||
if (res.data.error) {
|
||||
throw new Error(`Brave API Error: ${res.data.error.message}`);
|
||||
}
|
||||
|
||||
const originalres = res.data;
|
||||
const webResults = originalres.web?.results || [];
|
||||
|
||||
const results: BraveSearchResult[] = webResults.map((item: any) => ({
|
||||
title: item.title,
|
||||
url: item.url,
|
||||
content: item.description,
|
||||
img_src: item.thumbnail?.src || item.deep_results?.images?.[0]?.src,
|
||||
age: item.age,
|
||||
family_friendly: item.family_friendly,
|
||||
language: item.language,
|
||||
video: item.video
|
||||
? {
|
||||
embedUrl: item.video.embed_url,
|
||||
duration: item.video.duration,
|
||||
}
|
||||
: undefined,
|
||||
rating: item.rating
|
||||
? {
|
||||
value: item.rating.value,
|
||||
scale: item.rating.scale_max,
|
||||
}
|
||||
: undefined,
|
||||
products: item.deep_results?.product_cluster?.map((p: any) => ({
|
||||
name: p.name,
|
||||
price: p.price,
|
||||
})),
|
||||
recipe: item.recipe
|
||||
? {
|
||||
ingredients: item.recipe.ingredients,
|
||||
cookTime: item.recipe.cook_time,
|
||||
}
|
||||
: undefined,
|
||||
meta: {
|
||||
fetched: item.meta?.fetched,
|
||||
lastCrawled: item.meta?.last_crawled,
|
||||
},
|
||||
}));
|
||||
|
||||
return { results, originalres };
|
||||
} catch (error) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message || 'Unknown error';
|
||||
throw new Error(`Brave API Error: ${errorMessage}`);
|
||||
}
|
||||
};
|
85
src/lib/searchEngines/google_pse.ts
Normal file
85
src/lib/searchEngines/google_pse.ts
Normal file
@ -0,0 +1,85 @@
|
||||
import axios from 'axios';
|
||||
import { getGoogleApiKey, getGoogleCseId } from '../../config';
|
||||
|
||||
interface GooglePSESearchResult {
|
||||
kind: string;
|
||||
title: string;
|
||||
htmlTitle: string;
|
||||
link: string;
|
||||
displayLink: string;
|
||||
snippet?: string;
|
||||
htmlSnippet?: string;
|
||||
cacheId?: string;
|
||||
formattedUrl: string;
|
||||
htmlFormattedUrl: string;
|
||||
pagemap?: {
|
||||
videoobject: any;
|
||||
cse_thumbnail?: Array<{
|
||||
src: string;
|
||||
width: string;
|
||||
height: string;
|
||||
}>;
|
||||
metatags?: Array<{
|
||||
[key: string]: string;
|
||||
author?: string;
|
||||
}>;
|
||||
cse_image?: Array<{
|
||||
src: string;
|
||||
}>;
|
||||
};
|
||||
fileFormat?: string;
|
||||
image?: {
|
||||
contextLink: string;
|
||||
thumbnailLink: string;
|
||||
};
|
||||
mime?: string;
|
||||
labels?: Array<{
|
||||
name: string;
|
||||
displayName: string;
|
||||
}>;
|
||||
}
|
||||
|
||||
export const searchGooglePSE = async (query: string) => {
|
||||
try {
|
||||
const [googleApiKey, googleCseID] = await Promise.all([
|
||||
getGoogleApiKey(),
|
||||
getGoogleCseId(),
|
||||
]);
|
||||
|
||||
const url = new URL(`https://www.googleapis.com/customsearch/v1`);
|
||||
url.searchParams.append('q', query);
|
||||
url.searchParams.append('cx', googleCseID);
|
||||
url.searchParams.append('key', googleApiKey);
|
||||
|
||||
const res = await axios.get(url.toString());
|
||||
|
||||
if (res.data.error) {
|
||||
throw new Error(`Google PSE Error: ${res.data.error.message}`);
|
||||
}
|
||||
|
||||
const originalres = res.data.items;
|
||||
|
||||
const results = originalres.map((item: GooglePSESearchResult) => ({
|
||||
title: item.title,
|
||||
url: item.link,
|
||||
content: item.snippet,
|
||||
img_src:
|
||||
item.pagemap?.cse_image?.[0]?.src ||
|
||||
item.pagemap?.cse_thumbnail?.[0]?.src ||
|
||||
item.image?.thumbnailLink,
|
||||
...(item.pagemap?.videoobject?.[0] && {
|
||||
videoData: {
|
||||
duration: item.pagemap.videoobject[0].duration,
|
||||
embedUrl: item.pagemap.videoobject[0].embedurl,
|
||||
},
|
||||
}),
|
||||
}));
|
||||
|
||||
return { results, originalres };
|
||||
} catch (error) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message || 'Unknown error';
|
||||
throw new Error(`Google PSE Error: ${errorMessage}`);
|
||||
}
|
||||
};
|
@ -1,5 +1,5 @@
|
||||
import axios from 'axios';
|
||||
import { getSearxngApiEndpoint } from '../config';
|
||||
import { getSearxngApiEndpoint } from '../../config';
|
||||
|
||||
interface SearxngSearchOptions {
|
||||
categories?: string[];
|
79
src/lib/searchEngines/yacy.ts
Normal file
79
src/lib/searchEngines/yacy.ts
Normal file
@ -0,0 +1,79 @@
|
||||
import axios from 'axios';
|
||||
import { getYacyJsonEndpoint } from '../../config';
|
||||
|
||||
interface YaCySearchResult {
|
||||
channels: {
|
||||
title: string;
|
||||
description: string;
|
||||
link: string;
|
||||
image: {
|
||||
url: string;
|
||||
title: string;
|
||||
link: string;
|
||||
};
|
||||
startIndex: string;
|
||||
itemsPerPage: string;
|
||||
searchTerms: string;
|
||||
items: {
|
||||
title: string;
|
||||
link: string;
|
||||
code: string;
|
||||
description: string;
|
||||
pubDate: string;
|
||||
image?: string;
|
||||
size: string;
|
||||
sizename: string;
|
||||
guid: string;
|
||||
faviconUrl: string;
|
||||
host: string;
|
||||
path: string;
|
||||
file: string;
|
||||
urlhash: string;
|
||||
ranking: string;
|
||||
}[];
|
||||
navigation: {
|
||||
facetname: string;
|
||||
displayname: string;
|
||||
type: string;
|
||||
min: string;
|
||||
max: string;
|
||||
mean: string;
|
||||
elements: {
|
||||
name: string;
|
||||
count: string;
|
||||
modifier: string;
|
||||
url: string;
|
||||
}[];
|
||||
}[];
|
||||
}[];
|
||||
}
|
||||
|
||||
export const searchYaCy = async (query: string, numResults: number = 20) => {
|
||||
try {
|
||||
const yacyBaseUrl = getYacyJsonEndpoint();
|
||||
|
||||
const url = new URL(`${yacyBaseUrl}/yacysearch.json`);
|
||||
url.searchParams.append('query', query);
|
||||
url.searchParams.append('count', numResults.toString());
|
||||
|
||||
const res = await axios.get(url.toString());
|
||||
|
||||
const originalres = res.data as YaCySearchResult;
|
||||
|
||||
const results = originalres.channels[0].items.map((item) => ({
|
||||
title: item.title,
|
||||
url: item.link,
|
||||
content: item.description,
|
||||
img_src: item.image || null,
|
||||
pubDate: item.pubDate,
|
||||
host: item.host,
|
||||
}));
|
||||
|
||||
return { results, originalres };
|
||||
} catch (error) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message || 'Unknown error';
|
||||
throw new Error(`YaCy Error: ${errorMessage}`);
|
||||
}
|
||||
};
|
@ -10,6 +10,19 @@ import {
|
||||
getGeminiApiKey,
|
||||
getOpenaiApiKey,
|
||||
updateConfig,
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiModelName,
|
||||
getSearchEngineBackend,
|
||||
getImageSearchEngineBackend,
|
||||
getVideoSearchEngineBackend,
|
||||
getNewsSearchEngineBackend,
|
||||
getSearxngApiEndpoint,
|
||||
getGoogleApiKey,
|
||||
getGoogleCseId,
|
||||
getBingSubscriptionKey,
|
||||
getBraveApiKey,
|
||||
getYacyJsonEndpoint,
|
||||
} from '../config';
|
||||
import logger from '../utils/logger';
|
||||
|
||||
@ -54,6 +67,24 @@ router.get('/', async (_, res) => {
|
||||
config['anthropicApiKey'] = getAnthropicApiKey();
|
||||
config['groqApiKey'] = getGroqApiKey();
|
||||
config['geminiApiKey'] = getGeminiApiKey();
|
||||
config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
|
||||
config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
|
||||
config['customOpenaiModelName'] = getCustomOpenaiModelName();
|
||||
|
||||
// Add search engine configuration
|
||||
config['searchEngineBackends'] = {
|
||||
search: getSearchEngineBackend(),
|
||||
image: getImageSearchEngineBackend(),
|
||||
video: getVideoSearchEngineBackend(),
|
||||
news: getNewsSearchEngineBackend(),
|
||||
};
|
||||
|
||||
config['searxngEndpoint'] = getSearxngApiEndpoint();
|
||||
config['googleApiKey'] = getGoogleApiKey();
|
||||
config['googleCseId'] = getGoogleCseId();
|
||||
config['bingSubscriptionKey'] = getBingSubscriptionKey();
|
||||
config['braveApiKey'] = getBraveApiKey();
|
||||
config['yacyEndpoint'] = getYacyJsonEndpoint();
|
||||
|
||||
res.status(200).json(config);
|
||||
} catch (err: any) {
|
||||
@ -66,14 +97,51 @@ router.post('/', async (req, res) => {
|
||||
const config = req.body;
|
||||
|
||||
const updatedConfig = {
|
||||
API_KEYS: {
|
||||
OPENAI: config.openaiApiKey,
|
||||
GROQ: config.groqApiKey,
|
||||
ANTHROPIC: config.anthropicApiKey,
|
||||
GEMINI: config.geminiApiKey,
|
||||
MODELS: {
|
||||
OPENAI: {
|
||||
API_KEY: config.openaiApiKey,
|
||||
},
|
||||
GROQ: {
|
||||
API_KEY: config.groqApiKey,
|
||||
},
|
||||
ANTHROPIC: {
|
||||
API_KEY: config.anthropicApiKey,
|
||||
},
|
||||
GEMINI: {
|
||||
API_KEY: config.geminiApiKey,
|
||||
},
|
||||
OLLAMA: {
|
||||
API_URL: config.ollamaApiUrl,
|
||||
},
|
||||
CUSTOM_OPENAI: {
|
||||
API_URL: config.customOpenaiApiUrl,
|
||||
API_KEY: config.customOpenaiApiKey,
|
||||
MODEL_NAME: config.customOpenaiModelName,
|
||||
},
|
||||
},
|
||||
API_ENDPOINTS: {
|
||||
OLLAMA: config.ollamaApiUrl,
|
||||
SEARCH_ENGINE_BACKENDS: config.searchEngineBackends ? {
|
||||
SEARCH: config.searchEngineBackends.search,
|
||||
IMAGE: config.searchEngineBackends.image,
|
||||
VIDEO: config.searchEngineBackends.video,
|
||||
NEWS: config.searchEngineBackends.news,
|
||||
} : undefined,
|
||||
SEARCH_ENGINES: {
|
||||
GOOGLE: {
|
||||
API_KEY: config.googleApiKey,
|
||||
CSE_ID: config.googleCseId,
|
||||
},
|
||||
SEARXNG: {
|
||||
ENDPOINT: config.searxngEndpoint,
|
||||
},
|
||||
BING: {
|
||||
SUBSCRIPTION_KEY: config.bingSubscriptionKey,
|
||||
},
|
||||
BRAVE: {
|
||||
API_KEY: config.braveApiKey,
|
||||
},
|
||||
YACY: {
|
||||
ENDPOINT: config.yacyEndpoint,
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
|
@ -1,42 +1,125 @@
|
||||
import express from 'express';
|
||||
import { searchSearxng } from '../lib/searxng';
|
||||
import { searchSearxng } from '../lib/searchEngines/searxng';
|
||||
import { searchGooglePSE } from '../lib/searchEngines/google_pse';
|
||||
import { searchBraveAPI } from '../lib/searchEngines/brave';
|
||||
import { searchYaCy } from '../lib/searchEngines/yacy';
|
||||
import { searchBingAPI } from '../lib/searchEngines/bing';
|
||||
import { getNewsSearchEngineBackend } from '../config';
|
||||
import logger from '../utils/logger';
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
async function performSearch(query: string, site: string) {
|
||||
const searchEngine = getNewsSearchEngineBackend();
|
||||
switch (searchEngine) {
|
||||
case 'google': {
|
||||
const googleResult = await searchGooglePSE(query);
|
||||
|
||||
return googleResult.originalres.map((item) => {
|
||||
const imageSources = [
|
||||
item.pagemap?.cse_image?.[0]?.src,
|
||||
item.pagemap?.cse_thumbnail?.[0]?.src,
|
||||
item.pagemap?.metatags?.[0]?.['og:image'],
|
||||
item.pagemap?.metatags?.[0]?.['twitter:image'],
|
||||
item.pagemap?.metatags?.[0]?.['image'],
|
||||
].filter(Boolean); // Remove undefined values
|
||||
|
||||
return {
|
||||
title: item.title,
|
||||
url: item.link,
|
||||
content: item.snippet,
|
||||
thumbnail: imageSources[0], // First available image
|
||||
img_src: imageSources[0], // Same as thumbnail for consistency
|
||||
iframe_src: null,
|
||||
author: item.pagemap?.metatags?.[0]?.['og:site_name'] || site,
|
||||
publishedDate:
|
||||
item.pagemap?.metatags?.[0]?.['article:published_time'],
|
||||
};
|
||||
});
|
||||
}
|
||||
|
||||
case 'searxng': {
|
||||
const searxResult = await searchSearxng(query, {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
});
|
||||
return searxResult.results;
|
||||
}
|
||||
|
||||
case 'brave': {
|
||||
const braveResult = await searchBraveAPI(query);
|
||||
return braveResult.results.map((item) => ({
|
||||
title: item.title,
|
||||
url: item.url,
|
||||
content: item.content,
|
||||
thumbnail: item.img_src,
|
||||
img_src: item.img_src,
|
||||
iframe_src: null,
|
||||
author: item.meta?.fetched || site,
|
||||
publishedDate: item.meta?.lastCrawled,
|
||||
}));
|
||||
}
|
||||
|
||||
case 'yacy': {
|
||||
const yacyResult = await searchYaCy(query);
|
||||
return yacyResult.results.map((item) => ({
|
||||
title: item.title,
|
||||
url: item.url,
|
||||
content: item.content,
|
||||
thumbnail: item.img_src,
|
||||
img_src: item.img_src,
|
||||
iframe_src: null,
|
||||
author: item?.host || site,
|
||||
publishedDate: item?.pubDate,
|
||||
}));
|
||||
}
|
||||
|
||||
case 'bing': {
|
||||
const bingResult = await searchBingAPI(query);
|
||||
return bingResult.results.map((item) => ({
|
||||
title: item.title,
|
||||
url: item.url,
|
||||
content: item.content,
|
||||
thumbnail: item.img_src,
|
||||
img_src: item.img_src,
|
||||
iframe_src: null,
|
||||
author: item?.publisher || site,
|
||||
publishedDate: item?.datePublished,
|
||||
}));
|
||||
}
|
||||
|
||||
default:
|
||||
throw new Error(`Unknown search engine ${searchEngine}`);
|
||||
}
|
||||
}
|
||||
|
||||
router.get('/', async (req, res) => {
|
||||
try {
|
||||
const queries = [
|
||||
{ site: 'businessinsider.com', topic: 'AI' },
|
||||
{ site: 'www.exchangewire.com', topic: 'AI' },
|
||||
{ site: 'yahoo.com', topic: 'AI' },
|
||||
{ site: 'businessinsider.com', topic: 'tech' },
|
||||
{ site: 'www.exchangewire.com', topic: 'tech' },
|
||||
{ site: 'yahoo.com', topic: 'tech' },
|
||||
];
|
||||
|
||||
const data = (
|
||||
await Promise.all([
|
||||
searchSearxng('site:businessinsider.com AI', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
await Promise.all(
|
||||
queries.map(async ({ site, topic }) => {
|
||||
try {
|
||||
const query = `site:${site} ${topic}`;
|
||||
return await performSearch(query, site);
|
||||
} catch (error) {
|
||||
logger.error(`Error searching ${site}: ${error.message}`);
|
||||
return [];
|
||||
}
|
||||
}),
|
||||
searchSearxng('site:www.exchangewire.com AI', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
searchSearxng('site:yahoo.com AI', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
searchSearxng('site:businessinsider.com tech', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
searchSearxng('site:www.exchangewire.com tech', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
searchSearxng('site:yahoo.com tech', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
])
|
||||
)
|
||||
)
|
||||
.map((result) => result.results)
|
||||
.flat()
|
||||
.sort(() => Math.random() - 0.5);
|
||||
.sort(() => Math.random() - 0.5)
|
||||
.filter((item) => item.title && item.url && item.content);
|
||||
|
||||
return res.json({ blogs: data });
|
||||
} catch (err: any) {
|
||||
|
@ -5,14 +5,17 @@ import { getAvailableChatModelProviders } from '../lib/providers';
|
||||
import { HumanMessage, AIMessage } from '@langchain/core/messages';
|
||||
import logger from '../utils/logger';
|
||||
import { ChatOpenAI } from '@langchain/openai';
|
||||
import {
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiModelName,
|
||||
} from '../config';
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
interface ChatModel {
|
||||
provider: string;
|
||||
model: string;
|
||||
customOpenAIBaseURL?: string;
|
||||
customOpenAIKey?: string;
|
||||
}
|
||||
|
||||
interface ImageSearchBody {
|
||||
@ -44,21 +47,12 @@ router.post('/', async (req, res) => {
|
||||
let llm: BaseChatModel | undefined;
|
||||
|
||||
if (body.chatModel?.provider === 'custom_openai') {
|
||||
if (
|
||||
!body.chatModel?.customOpenAIBaseURL ||
|
||||
!body.chatModel?.customOpenAIKey
|
||||
) {
|
||||
return res
|
||||
.status(400)
|
||||
.json({ message: 'Missing custom OpenAI base URL or key' });
|
||||
}
|
||||
|
||||
llm = new ChatOpenAI({
|
||||
modelName: body.chatModel.model,
|
||||
openAIApiKey: body.chatModel.customOpenAIKey,
|
||||
modelName: getCustomOpenaiModelName(),
|
||||
openAIApiKey: getCustomOpenaiApiKey(),
|
||||
temperature: 0.7,
|
||||
configuration: {
|
||||
baseURL: body.chatModel.customOpenAIBaseURL,
|
||||
baseURL: getCustomOpenaiApiUrl(),
|
||||
},
|
||||
}) as unknown as BaseChatModel;
|
||||
} else if (
|
||||
|
@ -10,14 +10,19 @@ import {
|
||||
import { searchHandlers } from '../websocket/messageHandler';
|
||||
import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
|
||||
import { MetaSearchAgentType } from '../search/metaSearchAgent';
|
||||
import {
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiModelName,
|
||||
} from '../config';
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
interface chatModel {
|
||||
provider: string;
|
||||
model: string;
|
||||
customOpenAIBaseURL?: string;
|
||||
customOpenAIKey?: string;
|
||||
customOpenAIBaseURL?: string;
|
||||
}
|
||||
|
||||
interface embeddingModel {
|
||||
@ -78,21 +83,14 @@ router.post('/', async (req, res) => {
|
||||
let embeddings: Embeddings | undefined;
|
||||
|
||||
if (body.chatModel?.provider === 'custom_openai') {
|
||||
if (
|
||||
!body.chatModel?.customOpenAIBaseURL ||
|
||||
!body.chatModel?.customOpenAIKey
|
||||
) {
|
||||
return res
|
||||
.status(400)
|
||||
.json({ message: 'Missing custom OpenAI base URL or key' });
|
||||
}
|
||||
|
||||
llm = new ChatOpenAI({
|
||||
modelName: body.chatModel.model,
|
||||
openAIApiKey: body.chatModel.customOpenAIKey,
|
||||
modelName: body.chatModel?.model || getCustomOpenaiModelName(),
|
||||
openAIApiKey:
|
||||
body.chatModel?.customOpenAIKey || getCustomOpenaiApiKey(),
|
||||
temperature: 0.7,
|
||||
configuration: {
|
||||
baseURL: body.chatModel.customOpenAIBaseURL,
|
||||
baseURL:
|
||||
body.chatModel?.customOpenAIBaseURL || getCustomOpenaiApiUrl(),
|
||||
},
|
||||
}) as unknown as BaseChatModel;
|
||||
} else if (
|
||||
|
@ -5,14 +5,17 @@ import { getAvailableChatModelProviders } from '../lib/providers';
|
||||
import { HumanMessage, AIMessage } from '@langchain/core/messages';
|
||||
import logger from '../utils/logger';
|
||||
import { ChatOpenAI } from '@langchain/openai';
|
||||
import {
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiModelName,
|
||||
} from '../config';
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
interface ChatModel {
|
||||
provider: string;
|
||||
model: string;
|
||||
customOpenAIBaseURL?: string;
|
||||
customOpenAIKey?: string;
|
||||
}
|
||||
|
||||
interface SuggestionsBody {
|
||||
@ -43,21 +46,12 @@ router.post('/', async (req, res) => {
|
||||
let llm: BaseChatModel | undefined;
|
||||
|
||||
if (body.chatModel?.provider === 'custom_openai') {
|
||||
if (
|
||||
!body.chatModel?.customOpenAIBaseURL ||
|
||||
!body.chatModel?.customOpenAIKey
|
||||
) {
|
||||
return res
|
||||
.status(400)
|
||||
.json({ message: 'Missing custom OpenAI base URL or key' });
|
||||
}
|
||||
|
||||
llm = new ChatOpenAI({
|
||||
modelName: body.chatModel.model,
|
||||
openAIApiKey: body.chatModel.customOpenAIKey,
|
||||
modelName: getCustomOpenaiModelName(),
|
||||
openAIApiKey: getCustomOpenaiApiKey(),
|
||||
temperature: 0.7,
|
||||
configuration: {
|
||||
baseURL: body.chatModel.customOpenAIBaseURL,
|
||||
baseURL: getCustomOpenaiApiUrl(),
|
||||
},
|
||||
}) as unknown as BaseChatModel;
|
||||
} else if (
|
||||
|
@ -5,14 +5,17 @@ import { HumanMessage, AIMessage } from '@langchain/core/messages';
|
||||
import logger from '../utils/logger';
|
||||
import handleVideoSearch from '../chains/videoSearchAgent';
|
||||
import { ChatOpenAI } from '@langchain/openai';
|
||||
import {
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiModelName,
|
||||
} from '../config';
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
interface ChatModel {
|
||||
provider: string;
|
||||
model: string;
|
||||
customOpenAIBaseURL?: string;
|
||||
customOpenAIKey?: string;
|
||||
}
|
||||
|
||||
interface VideoSearchBody {
|
||||
@ -44,21 +47,12 @@ router.post('/', async (req, res) => {
|
||||
let llm: BaseChatModel | undefined;
|
||||
|
||||
if (body.chatModel?.provider === 'custom_openai') {
|
||||
if (
|
||||
!body.chatModel?.customOpenAIBaseURL ||
|
||||
!body.chatModel?.customOpenAIKey
|
||||
) {
|
||||
return res
|
||||
.status(400)
|
||||
.json({ message: 'Missing custom OpenAI base URL or key' });
|
||||
}
|
||||
|
||||
llm = new ChatOpenAI({
|
||||
modelName: body.chatModel.model,
|
||||
openAIApiKey: body.chatModel.customOpenAIKey,
|
||||
modelName: getCustomOpenaiModelName(),
|
||||
openAIApiKey: getCustomOpenaiApiKey(),
|
||||
temperature: 0.7,
|
||||
configuration: {
|
||||
baseURL: body.chatModel.customOpenAIBaseURL,
|
||||
baseURL: getCustomOpenaiApiUrl(),
|
||||
},
|
||||
}) as unknown as BaseChatModel;
|
||||
} else if (
|
||||
|
@ -17,7 +17,12 @@ import LineListOutputParser from '../lib/outputParsers/listLineOutputParser';
|
||||
import LineOutputParser from '../lib/outputParsers/lineOutputParser';
|
||||
import { getDocumentsFromLinks } from '../utils/documents';
|
||||
import { Document } from 'langchain/document';
|
||||
import { searchSearxng } from '../lib/searxng';
|
||||
import { searchSearxng } from '../lib/searchEngines/searxng';
|
||||
import { searchGooglePSE } from '../lib/searchEngines/google_pse';
|
||||
import { searchBingAPI } from '../lib/searchEngines/bing';
|
||||
import { searchBraveAPI } from '../lib/searchEngines/brave';
|
||||
import { searchYaCy } from '../lib/searchEngines/yacy';
|
||||
import { getSearchEngineBackend } from '../config';
|
||||
import path from 'path';
|
||||
import fs from 'fs';
|
||||
import computeSimilarity from '../utils/computeSimilarity';
|
||||
@ -132,7 +137,7 @@ class MetaSearchAgent implements MetaSearchAgentType {
|
||||
You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the
|
||||
text into a detailed, 2-4 paragraph explanation that captures the main ideas and provides a comprehensive answer to the query.
|
||||
If the query is \"summarize\", you should provide a detailed summary of the text. If the query is a specific question, you should answer it in the summary.
|
||||
|
||||
|
||||
- **Journalistic tone**: The summary should sound professional and journalistic, not too casual or vague.
|
||||
- **Thorough and detailed**: Ensure that every key point from the text is captured and that the summary directly answers the query.
|
||||
- **Not too lengthy, but detailed**: The summary should be informative but not excessively long. Focus on providing detailed information in a concise format.
|
||||
@ -203,10 +208,37 @@ class MetaSearchAgent implements MetaSearchAgentType {
|
||||
|
||||
return { query: question, docs: docs };
|
||||
} else {
|
||||
const res = await searchSearxng(question, {
|
||||
language: 'en',
|
||||
engines: this.config.activeEngines,
|
||||
});
|
||||
const searchEngine = getSearchEngineBackend();
|
||||
|
||||
let res;
|
||||
switch (searchEngine) {
|
||||
case 'searxng':
|
||||
res = await searchSearxng(question, {
|
||||
language: 'en',
|
||||
engines: this.config.activeEngines,
|
||||
});
|
||||
break;
|
||||
case 'google':
|
||||
res = await searchGooglePSE(question);
|
||||
break;
|
||||
case 'bing':
|
||||
res = await searchBingAPI(question);
|
||||
break;
|
||||
case 'brave':
|
||||
res = await searchBraveAPI(question);
|
||||
break;
|
||||
case 'yacy':
|
||||
res = await searchYaCy(question);
|
||||
break;
|
||||
default:
|
||||
throw new Error(`Unknown search engine ${searchEngine}`);
|
||||
}
|
||||
|
||||
if (!res?.results) {
|
||||
throw new Error(
|
||||
`No results found for search engine: ${searchEngine}`,
|
||||
);
|
||||
}
|
||||
|
||||
const documents = res.results.map(
|
||||
(result) =>
|
||||
|
@ -9,6 +9,11 @@ import type { Embeddings } from '@langchain/core/embeddings';
|
||||
import type { IncomingMessage } from 'http';
|
||||
import logger from '../utils/logger';
|
||||
import { ChatOpenAI } from '@langchain/openai';
|
||||
import {
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiModelName,
|
||||
} from '../config';
|
||||
|
||||
export const handleConnection = async (
|
||||
ws: WebSocket,
|
||||
@ -48,14 +53,20 @@ export const handleConnection = async (
|
||||
llm = chatModelProviders[chatModelProvider][chatModel]
|
||||
.model as unknown as BaseChatModel | undefined;
|
||||
} else if (chatModelProvider == 'custom_openai') {
|
||||
llm = new ChatOpenAI({
|
||||
modelName: chatModel,
|
||||
openAIApiKey: searchParams.get('openAIApiKey'),
|
||||
temperature: 0.7,
|
||||
configuration: {
|
||||
baseURL: searchParams.get('openAIBaseURL'),
|
||||
},
|
||||
}) as unknown as BaseChatModel;
|
||||
const customOpenaiApiKey = getCustomOpenaiApiKey();
|
||||
const customOpenaiApiUrl = getCustomOpenaiApiUrl();
|
||||
const customOpenaiModelName = getCustomOpenaiModelName();
|
||||
|
||||
if (customOpenaiApiKey && customOpenaiApiUrl && customOpenaiModelName) {
|
||||
llm = new ChatOpenAI({
|
||||
modelName: customOpenaiModelName,
|
||||
openAIApiKey: customOpenaiApiKey,
|
||||
temperature: 0.7,
|
||||
configuration: {
|
||||
baseURL: customOpenaiApiUrl,
|
||||
},
|
||||
}) as unknown as BaseChatModel;
|
||||
}
|
||||
}
|
||||
|
||||
if (
|
||||
|
1061
ui/app/settings/page.tsx
Normal file
1061
ui/app/settings/page.tsx
Normal file
File diff suppressed because it is too large
Load Diff
@ -10,7 +10,7 @@ import { toast } from 'sonner';
|
||||
import { useSearchParams } from 'next/navigation';
|
||||
import { getSuggestions } from '@/lib/actions';
|
||||
import { Settings } from 'lucide-react';
|
||||
import SettingsDialog from './SettingsDialog';
|
||||
import Link from 'next/link';
|
||||
import NextError from 'next/error';
|
||||
|
||||
export type Message = {
|
||||
@ -40,6 +40,7 @@ const useSocket = (
|
||||
const isCleaningUpRef = useRef(false);
|
||||
const MAX_RETRIES = 3;
|
||||
const INITIAL_BACKOFF = 1000; // 1 second
|
||||
const isConnectionErrorRef = useRef(false);
|
||||
|
||||
const getBackoffDelay = (retryCount: number) => {
|
||||
return Math.min(INITIAL_BACKOFF * Math.pow(2, retryCount), 10000); // Cap at 10 seconds
|
||||
@ -58,14 +59,17 @@ const useSocket = (
|
||||
let embeddingModelProvider = localStorage.getItem(
|
||||
'embeddingModelProvider',
|
||||
);
|
||||
let openAIBaseURL =
|
||||
chatModelProvider === 'custom_openai'
|
||||
? localStorage.getItem('openAIBaseURL')
|
||||
: null;
|
||||
let openAIPIKey =
|
||||
chatModelProvider === 'custom_openai'
|
||||
? localStorage.getItem('openAIApiKey')
|
||||
: null;
|
||||
|
||||
const autoImageSearch = localStorage.getItem('autoImageSearch');
|
||||
const autoVideoSearch = localStorage.getItem('autoVideoSearch');
|
||||
|
||||
if (!autoImageSearch) {
|
||||
localStorage.setItem('autoImageSearch', 'true');
|
||||
}
|
||||
|
||||
if (!autoVideoSearch) {
|
||||
localStorage.setItem('autoVideoSearch', 'false');
|
||||
}
|
||||
|
||||
const providers = await fetch(
|
||||
`${process.env.NEXT_PUBLIC_API_URL}/models`,
|
||||
@ -94,21 +98,13 @@ const useSocket = (
|
||||
chatModelProvider =
|
||||
chatModelProvider || Object.keys(chatModelProviders)[0];
|
||||
|
||||
if (chatModelProvider === 'custom_openai') {
|
||||
toast.error(
|
||||
'Seems like you are using the custom OpenAI provider, please open the settings and enter a model name to use.',
|
||||
);
|
||||
setError(true);
|
||||
return;
|
||||
} else {
|
||||
chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
|
||||
chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
|
||||
|
||||
if (
|
||||
!chatModelProviders ||
|
||||
Object.keys(chatModelProviders).length === 0
|
||||
)
|
||||
return toast.error('No chat models available');
|
||||
}
|
||||
if (
|
||||
!chatModelProviders ||
|
||||
Object.keys(chatModelProviders).length === 0
|
||||
)
|
||||
return toast.error('No chat models available');
|
||||
}
|
||||
|
||||
if (!embeddingModel || !embeddingModelProvider) {
|
||||
@ -139,9 +135,7 @@ const useSocket = (
|
||||
|
||||
if (
|
||||
Object.keys(chatModelProviders).length > 0 &&
|
||||
(((!openAIBaseURL || !openAIPIKey) &&
|
||||
chatModelProvider === 'custom_openai') ||
|
||||
!chatModelProviders[chatModelProvider])
|
||||
!chatModelProviders[chatModelProvider]
|
||||
) {
|
||||
const chatModelProvidersKeys = Object.keys(chatModelProviders);
|
||||
chatModelProvider =
|
||||
@ -149,23 +143,11 @@ const useSocket = (
|
||||
(key) => Object.keys(chatModelProviders[key]).length > 0,
|
||||
) || chatModelProvidersKeys[0];
|
||||
|
||||
if (
|
||||
chatModelProvider === 'custom_openai' &&
|
||||
(!openAIBaseURL || !openAIPIKey)
|
||||
) {
|
||||
toast.error(
|
||||
'Seems like you are using the custom OpenAI provider, please open the settings and configure the API key and base URL',
|
||||
);
|
||||
setError(true);
|
||||
return;
|
||||
}
|
||||
|
||||
localStorage.setItem('chatModelProvider', chatModelProvider);
|
||||
}
|
||||
|
||||
if (
|
||||
chatModelProvider &&
|
||||
(!openAIBaseURL || !openAIPIKey) &&
|
||||
!chatModelProviders[chatModelProvider][chatModel]
|
||||
) {
|
||||
chatModel = Object.keys(
|
||||
@ -251,6 +233,8 @@ const useSocket = (
|
||||
console.debug(new Date(), 'ws:connected');
|
||||
}
|
||||
if (data.type === 'error') {
|
||||
isConnectionErrorRef.current = true;
|
||||
setError(true);
|
||||
toast.error(data.data);
|
||||
}
|
||||
});
|
||||
@ -265,7 +249,7 @@ const useSocket = (
|
||||
clearTimeout(timeoutId);
|
||||
setIsWSReady(false);
|
||||
console.debug(new Date(), 'ws:disconnected');
|
||||
if (!isCleaningUpRef.current) {
|
||||
if (!isCleaningUpRef.current && !isConnectionErrorRef.current) {
|
||||
toast.error('Connection lost. Attempting to reconnect...');
|
||||
attemptReconnect();
|
||||
}
|
||||
@ -595,6 +579,17 @@ const ChatWindow = ({ id }: { id?: string }) => {
|
||||
}),
|
||||
);
|
||||
}
|
||||
|
||||
const autoImageSearch = localStorage.getItem('autoImageSearch');
|
||||
const autoVideoSearch = localStorage.getItem('autoVideoSearch');
|
||||
|
||||
if (autoImageSearch === 'true') {
|
||||
document.getElementById('search-images')?.click();
|
||||
}
|
||||
|
||||
if (autoVideoSearch === 'true') {
|
||||
document.getElementById('search-videos')?.click();
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
@ -629,17 +624,15 @@ const ChatWindow = ({ id }: { id?: string }) => {
|
||||
return (
|
||||
<div className="relative">
|
||||
<div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
|
||||
<Settings
|
||||
className="cursor-pointer lg:hidden"
|
||||
onClick={() => setIsSettingsOpen(true)}
|
||||
/>
|
||||
<Link href="/settings">
|
||||
<Settings className="cursor-pointer lg:hidden" />
|
||||
</Link>
|
||||
</div>
|
||||
<div className="flex flex-col items-center justify-center min-h-screen">
|
||||
<p className="dark:text-white/70 text-black/70 text-sm">
|
||||
Failed to connect to the server. Please try again later.
|
||||
</p>
|
||||
</div>
|
||||
<SettingsDialog isOpen={isSettingsOpen} setIsOpen={setIsSettingsOpen} />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
@ -1,8 +1,8 @@
|
||||
import { Settings } from 'lucide-react';
|
||||
import EmptyChatMessageInput from './EmptyChatMessageInput';
|
||||
import SettingsDialog from './SettingsDialog';
|
||||
import { useState } from 'react';
|
||||
import { File } from './ChatWindow';
|
||||
import Link from 'next/link';
|
||||
|
||||
const EmptyChat = ({
|
||||
sendMessage,
|
||||
@ -29,12 +29,10 @@ const EmptyChat = ({
|
||||
|
||||
return (
|
||||
<div className="relative">
|
||||
<SettingsDialog isOpen={isSettingsOpen} setIsOpen={setIsSettingsOpen} />
|
||||
<div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
|
||||
<Settings
|
||||
className="cursor-pointer lg:hidden"
|
||||
onClick={() => setIsSettingsOpen(true)}
|
||||
/>
|
||||
<Link href="/settings">
|
||||
<Settings className="cursor-pointer lg:hidden" />
|
||||
</Link>
|
||||
</div>
|
||||
<div className="flex flex-col items-center justify-center min-h-screen max-w-screen-sm mx-auto p-2 space-y-8">
|
||||
<h2 className="text-black/70 dark:text-white/70 text-3xl font-medium -mt-8">
|
||||
|
@ -68,7 +68,13 @@ const MessageBox = ({
|
||||
return (
|
||||
<div>
|
||||
{message.role === 'user' && (
|
||||
<div className={cn('w-full', messageIndex === 0 ? 'pt-16' : 'pt-8')}>
|
||||
<div
|
||||
className={cn(
|
||||
'w-full',
|
||||
messageIndex === 0 ? 'pt-16' : 'pt-8',
|
||||
'break-words',
|
||||
)}
|
||||
>
|
||||
<h2 className="text-black dark:text-white font-medium text-3xl lg:w-9/12">
|
||||
{message.content}
|
||||
</h2>
|
||||
|
@ -110,7 +110,7 @@ const Attach = ({
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => fileInputRef.current.click()}
|
||||
className="flex flex-row items-center space-x-1 text-white/70 hover:text-white transition duration-200"
|
||||
className="flex flex-row items-center space-x-1 text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white transition duration-200"
|
||||
>
|
||||
<input
|
||||
type="file"
|
||||
@ -128,7 +128,7 @@ const Attach = ({
|
||||
setFiles([]);
|
||||
setFileIds([]);
|
||||
}}
|
||||
className="flex flex-row items-center space-x-1 text-white/70 hover:text-white transition duration-200"
|
||||
className="flex flex-row items-center space-x-1 text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white transition duration-200"
|
||||
>
|
||||
<Trash size={14} />
|
||||
<p className="text-xs">Clear</p>
|
||||
@ -145,7 +145,7 @@ const Attach = ({
|
||||
<div className="bg-dark-100 flex items-center justify-center w-10 h-10 rounded-md">
|
||||
<File size={16} className="text-white/70" />
|
||||
</div>
|
||||
<p className="text-white/70 text-sm">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
{file.fileName.length > 25
|
||||
? file.fileName.replace(/\.\w+$/, '').substring(0, 25) +
|
||||
'...' +
|
||||
|
@ -82,7 +82,7 @@ const AttachSmall = ({
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => fileInputRef.current.click()}
|
||||
className="flex flex-row items-center space-x-1 text-white/70 hover:text-white transition duration-200"
|
||||
className="flex flex-row items-center space-x-1 text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white transition duration-200"
|
||||
>
|
||||
<input
|
||||
type="file"
|
||||
@ -100,7 +100,7 @@ const AttachSmall = ({
|
||||
setFiles([]);
|
||||
setFileIds([]);
|
||||
}}
|
||||
className="flex flex-row items-center space-x-1 text-white/70 hover:text-white transition duration-200"
|
||||
className="flex flex-row items-center space-x-1 text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white transition duration-200"
|
||||
>
|
||||
<Trash size={14} />
|
||||
<p className="text-xs">Clear</p>
|
||||
@ -117,7 +117,7 @@ const AttachSmall = ({
|
||||
<div className="bg-dark-100 flex items-center justify-center w-10 h-10 rounded-md">
|
||||
<File size={16} className="text-white/70" />
|
||||
</div>
|
||||
<p className="text-white/70 text-sm">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
{file.fileName.length > 25
|
||||
? file.fileName.replace(/\.\w+$/, '').substring(0, 25) +
|
||||
'...' +
|
||||
|
@ -27,6 +27,7 @@ const SearchImages = ({
|
||||
<>
|
||||
{!loading && images === null && (
|
||||
<button
|
||||
id="search-images"
|
||||
onClick={async () => {
|
||||
setLoading(true);
|
||||
|
||||
|
@ -42,6 +42,7 @@ const Searchvideos = ({
|
||||
<>
|
||||
{!loading && videos === null && (
|
||||
<button
|
||||
id="search-videos"
|
||||
onClick={async () => {
|
||||
setLoading(true);
|
||||
|
||||
|
@ -1,528 +0,0 @@
|
||||
import { cn } from '@/lib/utils';
|
||||
import {
|
||||
Dialog,
|
||||
DialogPanel,
|
||||
DialogTitle,
|
||||
Transition,
|
||||
TransitionChild,
|
||||
} from '@headlessui/react';
|
||||
import { CloudUpload, RefreshCcw, RefreshCw } from 'lucide-react';
|
||||
import React, {
|
||||
Fragment,
|
||||
useEffect,
|
||||
useState,
|
||||
type SelectHTMLAttributes,
|
||||
} from 'react';
|
||||
import ThemeSwitcher from './theme/Switcher';
|
||||
|
||||
interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {}
|
||||
|
||||
const Input = ({ className, ...restProps }: InputProps) => {
|
||||
return (
|
||||
<input
|
||||
{...restProps}
|
||||
className={cn(
|
||||
'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
|
||||
className,
|
||||
)}
|
||||
/>
|
||||
);
|
||||
};
|
||||
|
||||
interface SelectProps extends SelectHTMLAttributes<HTMLSelectElement> {
|
||||
options: { value: string; label: string; disabled?: boolean }[];
|
||||
}
|
||||
|
||||
export const Select = ({ className, options, ...restProps }: SelectProps) => {
|
||||
return (
|
||||
<select
|
||||
{...restProps}
|
||||
className={cn(
|
||||
'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
|
||||
className,
|
||||
)}
|
||||
>
|
||||
{options.map(({ label, value, disabled }) => {
|
||||
return (
|
||||
<option key={value} value={value} disabled={disabled}>
|
||||
{label}
|
||||
</option>
|
||||
);
|
||||
})}
|
||||
</select>
|
||||
);
|
||||
};
|
||||
|
||||
interface SettingsType {
|
||||
chatModelProviders: {
|
||||
[key: string]: [Record<string, any>];
|
||||
};
|
||||
embeddingModelProviders: {
|
||||
[key: string]: [Record<string, any>];
|
||||
};
|
||||
openaiApiKey: string;
|
||||
groqApiKey: string;
|
||||
anthropicApiKey: string;
|
||||
geminiApiKey: string;
|
||||
ollamaApiUrl: string;
|
||||
}
|
||||
|
||||
const SettingsDialog = ({
|
||||
isOpen,
|
||||
setIsOpen,
|
||||
}: {
|
||||
isOpen: boolean;
|
||||
setIsOpen: (isOpen: boolean) => void;
|
||||
}) => {
|
||||
const [config, setConfig] = useState<SettingsType | null>(null);
|
||||
const [chatModels, setChatModels] = useState<Record<string, any>>({});
|
||||
const [embeddingModels, setEmbeddingModels] = useState<Record<string, any>>(
|
||||
{},
|
||||
);
|
||||
const [selectedChatModelProvider, setSelectedChatModelProvider] = useState<
|
||||
string | null
|
||||
>(null);
|
||||
const [selectedChatModel, setSelectedChatModel] = useState<string | null>(
|
||||
null,
|
||||
);
|
||||
const [selectedEmbeddingModelProvider, setSelectedEmbeddingModelProvider] =
|
||||
useState<string | null>(null);
|
||||
const [selectedEmbeddingModel, setSelectedEmbeddingModel] = useState<
|
||||
string | null
|
||||
>(null);
|
||||
const [customOpenAIApiKey, setCustomOpenAIApiKey] = useState<string>('');
|
||||
const [customOpenAIBaseURL, setCustomOpenAIBaseURL] = useState<string>('');
|
||||
const [isLoading, setIsLoading] = useState(false);
|
||||
const [isUpdating, setIsUpdating] = useState(false);
|
||||
|
||||
useEffect(() => {
|
||||
if (isOpen) {
|
||||
const fetchConfig = async () => {
|
||||
setIsLoading(true);
|
||||
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
});
|
||||
|
||||
const data = (await res.json()) as SettingsType;
|
||||
setConfig(data);
|
||||
|
||||
const chatModelProvidersKeys = Object.keys(
|
||||
data.chatModelProviders || {},
|
||||
);
|
||||
const embeddingModelProvidersKeys = Object.keys(
|
||||
data.embeddingModelProviders || {},
|
||||
);
|
||||
|
||||
const defaultChatModelProvider =
|
||||
chatModelProvidersKeys.length > 0 ? chatModelProvidersKeys[0] : '';
|
||||
const defaultEmbeddingModelProvider =
|
||||
embeddingModelProvidersKeys.length > 0
|
||||
? embeddingModelProvidersKeys[0]
|
||||
: '';
|
||||
|
||||
const chatModelProvider =
|
||||
localStorage.getItem('chatModelProvider') ||
|
||||
defaultChatModelProvider ||
|
||||
'';
|
||||
const chatModel =
|
||||
localStorage.getItem('chatModel') ||
|
||||
(data.chatModelProviders &&
|
||||
data.chatModelProviders[chatModelProvider]?.length > 0
|
||||
? data.chatModelProviders[chatModelProvider][0].name
|
||||
: undefined) ||
|
||||
'';
|
||||
const embeddingModelProvider =
|
||||
localStorage.getItem('embeddingModelProvider') ||
|
||||
defaultEmbeddingModelProvider ||
|
||||
'';
|
||||
const embeddingModel =
|
||||
localStorage.getItem('embeddingModel') ||
|
||||
(data.embeddingModelProviders &&
|
||||
data.embeddingModelProviders[embeddingModelProvider]?.[0].name) ||
|
||||
'';
|
||||
|
||||
setSelectedChatModelProvider(chatModelProvider);
|
||||
setSelectedChatModel(chatModel);
|
||||
setSelectedEmbeddingModelProvider(embeddingModelProvider);
|
||||
setSelectedEmbeddingModel(embeddingModel);
|
||||
setCustomOpenAIApiKey(localStorage.getItem('openAIApiKey') || '');
|
||||
setCustomOpenAIBaseURL(localStorage.getItem('openAIBaseURL') || '');
|
||||
setChatModels(data.chatModelProviders || {});
|
||||
setEmbeddingModels(data.embeddingModelProviders || {});
|
||||
setIsLoading(false);
|
||||
};
|
||||
|
||||
fetchConfig();
|
||||
}
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [isOpen]);
|
||||
|
||||
const handleSubmit = async () => {
|
||||
setIsUpdating(true);
|
||||
|
||||
try {
|
||||
await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify(config),
|
||||
});
|
||||
|
||||
localStorage.setItem('chatModelProvider', selectedChatModelProvider!);
|
||||
localStorage.setItem('chatModel', selectedChatModel!);
|
||||
localStorage.setItem(
|
||||
'embeddingModelProvider',
|
||||
selectedEmbeddingModelProvider!,
|
||||
);
|
||||
localStorage.setItem('embeddingModel', selectedEmbeddingModel!);
|
||||
localStorage.setItem('openAIApiKey', customOpenAIApiKey!);
|
||||
localStorage.setItem('openAIBaseURL', customOpenAIBaseURL!);
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
} finally {
|
||||
setIsUpdating(false);
|
||||
setIsOpen(false);
|
||||
|
||||
window.location.reload();
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<Transition appear show={isOpen} as={Fragment}>
|
||||
<Dialog
|
||||
as="div"
|
||||
className="relative z-50"
|
||||
onClose={() => setIsOpen(false)}
|
||||
>
|
||||
<TransitionChild
|
||||
as={Fragment}
|
||||
enter="ease-out duration-300"
|
||||
enterFrom="opacity-0"
|
||||
enterTo="opacity-100"
|
||||
leave="ease-in duration-200"
|
||||
leaveFrom="opacity-100"
|
||||
leaveTo="opacity-0"
|
||||
>
|
||||
<div className="fixed inset-0 bg-white/50 dark:bg-black/50" />
|
||||
</TransitionChild>
|
||||
<div className="fixed inset-0 overflow-y-auto">
|
||||
<div className="flex min-h-full items-center justify-center p-4 text-center">
|
||||
<TransitionChild
|
||||
as={Fragment}
|
||||
enter="ease-out duration-200"
|
||||
enterFrom="opacity-0 scale-95"
|
||||
enterTo="opacity-100 scale-100"
|
||||
leave="ease-in duration-100"
|
||||
leaveFrom="opacity-100 scale-200"
|
||||
leaveTo="opacity-0 scale-95"
|
||||
>
|
||||
<DialogPanel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
|
||||
<DialogTitle className="text-xl font-medium leading-6 dark:text-white">
|
||||
Settings
|
||||
</DialogTitle>
|
||||
{config && !isLoading && (
|
||||
<div className="flex flex-col space-y-4 mt-6">
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Theme
|
||||
</p>
|
||||
<ThemeSwitcher />
|
||||
</div>
|
||||
{config.chatModelProviders && (
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Chat model Provider
|
||||
</p>
|
||||
<Select
|
||||
value={selectedChatModelProvider ?? undefined}
|
||||
onChange={(e) => {
|
||||
setSelectedChatModelProvider(e.target.value);
|
||||
if (e.target.value === 'custom_openai') {
|
||||
setSelectedChatModel('');
|
||||
} else {
|
||||
setSelectedChatModel(
|
||||
config.chatModelProviders[e.target.value][0]
|
||||
.name,
|
||||
);
|
||||
}
|
||||
}}
|
||||
options={Object.keys(config.chatModelProviders).map(
|
||||
(provider) => ({
|
||||
value: provider,
|
||||
label:
|
||||
provider.charAt(0).toUpperCase() +
|
||||
provider.slice(1),
|
||||
}),
|
||||
)}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
{selectedChatModelProvider &&
|
||||
selectedChatModelProvider != 'custom_openai' && (
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Chat Model
|
||||
</p>
|
||||
<Select
|
||||
value={selectedChatModel ?? undefined}
|
||||
onChange={(e) =>
|
||||
setSelectedChatModel(e.target.value)
|
||||
}
|
||||
options={(() => {
|
||||
const chatModelProvider =
|
||||
config.chatModelProviders[
|
||||
selectedChatModelProvider
|
||||
];
|
||||
|
||||
return chatModelProvider
|
||||
? chatModelProvider.length > 0
|
||||
? chatModelProvider.map((model) => ({
|
||||
value: model.name,
|
||||
label: model.displayName,
|
||||
}))
|
||||
: [
|
||||
{
|
||||
value: '',
|
||||
label: 'No models available',
|
||||
disabled: true,
|
||||
},
|
||||
]
|
||||
: [
|
||||
{
|
||||
value: '',
|
||||
label:
|
||||
'Invalid provider, please check backend logs',
|
||||
disabled: true,
|
||||
},
|
||||
];
|
||||
})()}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
{selectedChatModelProvider &&
|
||||
selectedChatModelProvider === 'custom_openai' && (
|
||||
<>
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Model name
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Model name"
|
||||
defaultValue={selectedChatModel!}
|
||||
onChange={(e) =>
|
||||
setSelectedChatModel(e.target.value)
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Custom OpenAI API Key
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Custom OpenAI API Key"
|
||||
defaultValue={customOpenAIApiKey!}
|
||||
onChange={(e) =>
|
||||
setCustomOpenAIApiKey(e.target.value)
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Custom OpenAI Base URL
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Custom OpenAI Base URL"
|
||||
defaultValue={customOpenAIBaseURL!}
|
||||
onChange={(e) =>
|
||||
setCustomOpenAIBaseURL(e.target.value)
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
{/* Embedding models */}
|
||||
{config.embeddingModelProviders && (
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Embedding model Provider
|
||||
</p>
|
||||
<Select
|
||||
value={selectedEmbeddingModelProvider ?? undefined}
|
||||
onChange={(e) => {
|
||||
setSelectedEmbeddingModelProvider(e.target.value);
|
||||
setSelectedEmbeddingModel(
|
||||
config.embeddingModelProviders[e.target.value][0]
|
||||
.name,
|
||||
);
|
||||
}}
|
||||
options={Object.keys(
|
||||
config.embeddingModelProviders,
|
||||
).map((provider) => ({
|
||||
label:
|
||||
provider.charAt(0).toUpperCase() +
|
||||
provider.slice(1),
|
||||
value: provider,
|
||||
}))}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
{selectedEmbeddingModelProvider && (
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Embedding Model
|
||||
</p>
|
||||
<Select
|
||||
value={selectedEmbeddingModel ?? undefined}
|
||||
onChange={(e) =>
|
||||
setSelectedEmbeddingModel(e.target.value)
|
||||
}
|
||||
options={(() => {
|
||||
const embeddingModelProvider =
|
||||
config.embeddingModelProviders[
|
||||
selectedEmbeddingModelProvider
|
||||
];
|
||||
|
||||
return embeddingModelProvider
|
||||
? embeddingModelProvider.length > 0
|
||||
? embeddingModelProvider.map((model) => ({
|
||||
label: model.displayName,
|
||||
value: model.name,
|
||||
}))
|
||||
: [
|
||||
{
|
||||
label: 'No embedding models available',
|
||||
value: '',
|
||||
disabled: true,
|
||||
},
|
||||
]
|
||||
: [
|
||||
{
|
||||
label:
|
||||
'Invalid provider, please check backend logs',
|
||||
value: '',
|
||||
disabled: true,
|
||||
},
|
||||
];
|
||||
})()}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
OpenAI API Key
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="OpenAI API Key"
|
||||
defaultValue={config.openaiApiKey}
|
||||
onChange={(e) =>
|
||||
setConfig({
|
||||
...config,
|
||||
openaiApiKey: e.target.value,
|
||||
})
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Ollama API URL
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Ollama API URL"
|
||||
defaultValue={config.ollamaApiUrl}
|
||||
onChange={(e) =>
|
||||
setConfig({
|
||||
...config,
|
||||
ollamaApiUrl: e.target.value,
|
||||
})
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
GROQ API Key
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="GROQ API Key"
|
||||
defaultValue={config.groqApiKey}
|
||||
onChange={(e) =>
|
||||
setConfig({
|
||||
...config,
|
||||
groqApiKey: e.target.value,
|
||||
})
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Anthropic API Key
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Anthropic API key"
|
||||
defaultValue={config.anthropicApiKey}
|
||||
onChange={(e) =>
|
||||
setConfig({
|
||||
...config,
|
||||
anthropicApiKey: e.target.value,
|
||||
})
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Gemini API Key
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Gemini API key"
|
||||
defaultValue={config.geminiApiKey}
|
||||
onChange={(e) =>
|
||||
setConfig({
|
||||
...config,
|
||||
geminiApiKey: e.target.value,
|
||||
})
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{isLoading && (
|
||||
<div className="w-full flex items-center justify-center mt-6 text-black/70 dark:text-white/70 py-6">
|
||||
<RefreshCcw className="animate-spin" />
|
||||
</div>
|
||||
)}
|
||||
<div className="w-full mt-6 space-y-2">
|
||||
<p className="text-xs text-black/50 dark:text-white/50">
|
||||
We'll refresh the page after updating the settings.
|
||||
</p>
|
||||
<button
|
||||
onClick={handleSubmit}
|
||||
className="bg-[#24A0ED] flex flex-row items-center space-x-2 text-white disabled:text-white/50 hover:bg-opacity-85 transition duration-100 disabled:bg-[#ececec21] rounded-full px-4 py-2"
|
||||
disabled={isLoading || isUpdating}
|
||||
>
|
||||
{isUpdating ? (
|
||||
<RefreshCw size={20} className="animate-spin" />
|
||||
) : (
|
||||
<CloudUpload size={20} />
|
||||
)}
|
||||
</button>
|
||||
</div>
|
||||
</DialogPanel>
|
||||
</TransitionChild>
|
||||
</div>
|
||||
</div>
|
||||
</Dialog>
|
||||
</Transition>
|
||||
);
|
||||
};
|
||||
|
||||
export default SettingsDialog;
|
@ -6,7 +6,6 @@ import Link from 'next/link';
|
||||
import { useSelectedLayoutSegments } from 'next/navigation';
|
||||
import React, { useState, type ReactNode } from 'react';
|
||||
import Layout from './Layout';
|
||||
import SettingsDialog from './SettingsDialog';
|
||||
|
||||
const VerticalIconContainer = ({ children }: { children: ReactNode }) => {
|
||||
return (
|
||||
@ -67,15 +66,9 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
|
||||
))}
|
||||
</VerticalIconContainer>
|
||||
|
||||
<Settings
|
||||
onClick={() => setIsSettingsOpen(!isSettingsOpen)}
|
||||
className="cursor-pointer"
|
||||
/>
|
||||
|
||||
<SettingsDialog
|
||||
isOpen={isSettingsOpen}
|
||||
setIsOpen={setIsSettingsOpen}
|
||||
/>
|
||||
<Link href="/settings">
|
||||
<Settings className="cursor-pointer" />
|
||||
</Link>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
@ -1,8 +1,7 @@
|
||||
'use client';
|
||||
import { useTheme } from 'next-themes';
|
||||
import { SunIcon, MoonIcon, MonitorIcon } from 'lucide-react';
|
||||
import { useCallback, useEffect, useState } from 'react';
|
||||
import { Select } from '../SettingsDialog';
|
||||
import Select from '../ui/Select';
|
||||
|
||||
type Theme = 'dark' | 'light' | 'system';
|
||||
|
||||
|
28
ui/components/ui/Select.tsx
Normal file
28
ui/components/ui/Select.tsx
Normal file
@ -0,0 +1,28 @@
|
||||
import { cn } from '@/lib/utils';
|
||||
import { SelectHTMLAttributes } from 'react';
|
||||
|
||||
interface SelectProps extends SelectHTMLAttributes<HTMLSelectElement> {
|
||||
options: { value: string; label: string; disabled?: boolean }[];
|
||||
}
|
||||
|
||||
export const Select = ({ className, options, ...restProps }: SelectProps) => {
|
||||
return (
|
||||
<select
|
||||
{...restProps}
|
||||
className={cn(
|
||||
'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
|
||||
className,
|
||||
)}
|
||||
>
|
||||
{options.map(({ label, value, disabled }) => {
|
||||
return (
|
||||
<option key={value} value={value} disabled={disabled}>
|
||||
{label}
|
||||
</option>
|
||||
);
|
||||
})}
|
||||
</select>
|
||||
);
|
||||
};
|
||||
|
||||
export default Select;
|
@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "perplexica-frontend",
|
||||
"version": "1.10.0-rc2",
|
||||
"version": "1.10.0-rc3",
|
||||
"license": "MIT",
|
||||
"author": "ItzCrazyKns",
|
||||
"scripts": {
|
||||
|
Reference in New Issue
Block a user