Compare commits

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15 Commits

Author SHA1 Message Date
ItzCrazyKns
a401e67d87 Merge pull request #666 from AnotiaWang/admin-password
feat: sync changes from master branch
2025-03-08 20:08:59 +05:30
AnotiaWang
d95849e538 fix: missing MODEL_NAME in config sample 2025-03-07 23:54:53 +08:00
AnotiaWang
ec5e5b3893 Merge branch 'master' into admin-password 2025-03-07 23:54:47 +08:00
ItzCrazyKns
89b5229ce9 Merge pull request #663 from ericdachen/master
Update Readme
2025-03-05 11:11:07 +05:30
ItzCrazyKns
7756340dd9 Update README.md 2025-03-05 11:09:19 +05:30
ItzCrazyKns
bbd2e9c359 feat(readme): update warp banner 2025-03-05 11:05:25 +05:30
ItzCrazyKns
a32eb1dda3 feat(readme): lint & beautify, update anchor URL 2025-03-05 10:55:02 +05:30
Eric Chen
aa834f7f04 Update README.md 2025-03-04 14:45:10 -05:00
Eric Chen
064c0fbe42 Update README.md 2025-03-04 12:16:10 -05:00
Eric Chen
bf4cf8eaeb Update README.md 2025-03-04 12:14:17 -05:00
ItzCrazyKns
639fbd7a15 feat(chat-window): lint & beautify 2024-08-02 19:37:20 +05:30
ItzCrazyKns
a88104434d feat(copilot): respect preferences 2024-08-02 19:36:50 +05:30
ItzCrazyKns
a1e0d368c6 feat(settings): add preferences 2024-08-02 19:36:39 +05:30
ItzCrazyKns
5779701b7d feat(sidebar): respect preferences 2024-08-02 19:35:57 +05:30
ItzCrazyKns
fdfe8d1f41 feat(app): add password auth for settings 2024-08-02 19:32:38 +05:30
21 changed files with 496 additions and 262 deletions

View File

@@ -1,7 +1,22 @@
# 🚀 Perplexica - An AI-powered search engine 🔎 <!-- omit in toc -->
[![Discord](https://dcbadge.vercel.app/api/server/26aArMy8tT?style=flat&compact=true)](https://discord.gg/26aArMy8tT)
<div align="center" markdown="1">
<sup>Special thanks to:</sup>
<br>
<br>
<a href="https://www.warp.dev/perplexica">
<img alt="Warp sponsorship" width="400" src="https://github.com/user-attachments/assets/775dd593-9b5f-40f1-bf48-479faff4c27b">
</a>
### [Warp, the AI Devtool that lives in your terminal](https://www.warp.dev/perplexica)
[Available for MacOS, Linux, & Windows](https://www.warp.dev/perplexica)
</div>
<hr/>
[![Discord](https://dcbadge.vercel.app/api/server/26aArMy8tT?style=flat&compact=true)](https://discord.gg/26aArMy8tT)
![preview](.assets/perplexica-screenshot.png?)
@@ -13,11 +28,10 @@
- [Installation](#installation)
- [Getting Started with Docker (Recommended)](#getting-started-with-docker-recommended)
- [Non-Docker Installation](#non-docker-installation)
- [Nginx Reverse Proxy](#nginx-reverse-proxy)
- [Ollama Connection Errors](#ollama-connection-errors)
- [Using as a Search Engine](#using-as-a-search-engine)
- [Using Perplexica's API](#using-perplexicas-api)
- [Expose Perplexica to a Network](#expose-perplexica-to-a-network)
- [Expose Perplexica to a network](#expose-perplexica-to-network)
- [One-Click Deployment](#one-click-deployment)
- [Upcoming Features](#upcoming-features)
- [Support Us](#support-us)
@@ -104,17 +118,6 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
See the [installation documentation](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/installation) for more information like exposing it your network, etc.
### Nginx Reverse Proxy
Perplexica includes an Nginx reverse proxy that provides several key benefits:
- **Single Port Access**: Access both frontend and backend through a single port (8080)
- **Dynamic Configuration**: Works with any domain or IP without rebuilding
- **WebSocket Support**: Automatic WebSocket URL configuration based on the current domain
- **Security Headers**: Enhanced security with proper HTTP headers
When using Docker, the reverse proxy is automatically configured. Access Perplexica at `http://localhost:8080` or `http://your-ip:8080` after starting the containers.
### Ollama Connection Errors
If you're encountering an Ollama connection error, it is likely due to the backend being unable to connect to Ollama's API. To fix this issue you can:
@@ -140,7 +143,7 @@ If you wish to use Perplexica as an alternative to traditional search engines li
1. Open your browser's settings.
2. Navigate to the 'Search Engines' section.
3. Add a new site search with the following URL: `http://localhost:8080/?q=%s`. Replace `localhost` with your IP address or domain name if needed.
3. Add a new site search with the following URL: `http://localhost:3000/?q=%s`. Replace `localhost` with your IP address or domain name, and `3000` with the port number if Perplexica is not hosted locally.
4. Click the add button. Now, you can use Perplexica directly from your browser's search bar.
## Using Perplexica's API
@@ -149,15 +152,9 @@ Perplexica also provides an API for developers looking to integrate its powerful
For more details, check out the full documentation [here](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/API/SEARCH.md).
## Expose Perplexica to a Network
## Expose Perplexica to network
Perplexica can be easily accessed over your home network or exposed to the internet through the Nginx reverse proxy. With this setup:
1. **Local Network Access**: Access Perplexica from any device on your network using `http://server-ip:8080`
2. **Domain Configuration**: If you have a domain name, point it to your server and access Perplexica with `http://your-domain.com:8080`
3. **SSL Support**: Configure SSL certificates in Nginx for secure `https://` access
For more network configuration details, see our [networking guide](https://github.com/ItzCrazyKns/Perplexica/blob/master/docs/installation/NETWORKING.md).
You can access Perplexica over your home network by following our networking guide [here](https://github.com/ItzCrazyKns/Perplexica/blob/master/docs/installation/NETWORKING.md).
## One-Click Deployment

View File

@@ -35,8 +35,8 @@ services:
context: .
dockerfile: app.dockerfile
args:
- NEXT_PUBLIC_API_URL=/api
- NEXT_PUBLIC_WS_URL=auto
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
image: itzcrazykns1337/perplexica-frontend:main
depends_on:
- perplexica-backend
@@ -46,19 +46,6 @@ services:
- perplexica-network
restart: unless-stopped
nginx:
image: nginx:alpine
ports:
- "8080:80"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf:ro
depends_on:
- perplexica-frontend
- perplexica-backend
networks:
- perplexica-network
restart: unless-stopped
networks:
perplexica-network:

View File

@@ -1,106 +1,109 @@
# Exposing Perplexica to a Network
# Expose Perplexica to a network
This guide explains how to make Perplexica available over a network using the built-in Nginx reverse proxy.
This guide will show you how to make Perplexica available over a network. Follow these steps to allow computers on the same network to interact with Perplexica. Choose the instructions that match the operating system you are using.
## Accessing Perplexica Over a Network
## Windows
### Basic Access
1. Open PowerShell as Administrator
With the Nginx reverse proxy, Perplexica is automatically accessible from any device on your network:
2. Navigate to the directory containing the `docker-compose.yaml` file
3. Stop and remove the existing Perplexica containers and images:
1. Start Perplexica using Docker Compose:
```bash
docker compose up -d
docker compose down --rmi all
```
2. Find your server's IP address:
- **Windows**: `ipconfig` in Command Prompt
- **macOS**: `ifconfig | grep "inet "` in Terminal
- **Linux**: `ip addr show | grep "inet "` in Terminal
4. Open the `docker-compose.yaml` file in a text editor like Notepad++
3. Access Perplexica from any device on your network:
```
http://YOUR_SERVER_IP:8080
```
5. Replace `127.0.0.1` with the IP address of the server Perplexica is running on in these two lines:
### Domain Configuration
If you have a domain name, you can point it to your server:
1. Configure your domain's DNS settings to point to your server IP
2. Access Perplexica via:
```
http://your-domain.com:8080
```
## Advanced Configuration
### Custom Port
If you need to use a different port instead of the default 8080:
1. Modify the `docker-compose.yaml` file:
```yaml
nginx:
ports:
- "YOUR_CUSTOM_PORT:80"
```
2. Restart the containers:
```bash
docker compose down && docker compose up -d
args:
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
```
### SSL/HTTPS Configuration
6. Save and close the `docker-compose.yaml` file
For secure HTTPS access:
7. Rebuild and restart the Perplexica container:
1. Modify the Nginx configuration to include SSL:
```nginx
# In nginx.conf
server {
listen 80;
listen 443 ssl;
ssl_certificate /path/to/certificate.crt;
ssl_certificate_key /path/to/private.key;
# Rest of configuration...
}
```
2. Update the Docker volume to include your certificates:
```yaml
nginx:
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf:ro
- ./ssl:/path/to/ssl:ro
```
3. Restart the containers:
```bash
docker compose down && docker compose up -d
docker compose up -d --build
```
4. Or just use another reverse proxy on top of this one...
## macOS
## Troubleshooting
1. Open the Terminal application
If you encounter issues accessing Perplexica over your network:
2. Navigate to the directory with the `docker-compose.yaml` file:
1. **Firewall Settings**: Ensure port 8080 (or your custom port) is allowed in your firewall
2. **Docker Network**: Check if Docker's network settings allow external connections:
```bash
docker network inspect perplexica_perplexica-network
cd /path/to/docker-compose.yaml
```
3. **Nginx Logs**: Check for any connection issues:
3. Stop and remove existing containers and images:
```bash
docker logs perplexica-nginx-1
docker compose down --rmi all
```
4. **Direct Access**: Verify if you can access the services directly:
- Frontend: http://YOUR_SERVER_IP:3000
- Backend: http://YOUR_SERVER_IP:3001
4. Open `docker-compose.yaml` in a text editor like Sublime Text:
```bash
nano docker-compose.yaml
```
5. Replace `127.0.0.1` with the server IP in these lines:
```bash
args:
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
```
6. Save and exit the editor
7. Rebuild and restart Perplexica:
```bash
docker compose up -d --build
```
## Linux
1. Open the terminal
2. Navigate to the `docker-compose.yaml` directory:
```bash
cd /path/to/docker-compose.yaml
```
3. Stop and remove containers and images:
```bash
docker compose down --rmi all
```
4. Edit `docker-compose.yaml`:
```bash
nano docker-compose.yaml
```
5. Replace `127.0.0.1` with the server IP:
```bash
args:
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
```
6. Save and exit the editor
7. Rebuild and restart Perplexica:
```bash
docker compose up -d --build
```

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@@ -1,50 +0,0 @@
events {
worker_connections 1024;
}
http {
port_in_redirect on;
absolute_redirect off;
server {
listen 80;
server_name localhost:8080;
# API requests
location /api {
proxy_pass http://perplexica-backend:3001;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
# WebSocket requests
location /ws {
proxy_pass http://perplexica-backend:3001;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
# Frontend requests
location / {
proxy_pass http://perplexica-frontend:3000;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
# Security headers
add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
add_header X-XSS-Protection "1; mode=block" always;
add_header X-Content-Type-Options "nosniff" always;
add_header X-Frame-Options "SAMEORIGIN" always;
server_tokens off;
}
}

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@@ -1,6 +1,10 @@
[GENERAL]
PORT = 3001 # Port to run the server on
SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
CONFIG_PASSWORD = "lorem_ipsum" # Password to access config
DISCOVER_ENABLED = true
LIBRARY_ENABLED = true
COPILOT_ENABLED = true
KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
[MODELS.OPENAI]
@@ -18,6 +22,7 @@ API_KEY = ""
[MODELS.CUSTOM_OPENAI]
API_KEY = ""
API_URL = ""
MODEL_NAME = ""
[MODELS.OLLAMA]
API_URL = "" # Ollama API URL - http://host.docker.internal:11434

View File

@@ -13,20 +13,20 @@ 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:
`;

View File

@@ -8,6 +8,10 @@ interface Config {
GENERAL: {
PORT: number;
SIMILARITY_MEASURE: string;
CONFIG_PASSWORD: string;
DISCOVER_ENABLED: boolean;
LIBRARY_ENABLED: boolean;
COPILOT_ENABLED: boolean;
KEEP_ALIVE: string;
};
MODELS: {
@@ -51,6 +55,14 @@ export const getPort = () => loadConfig().GENERAL.PORT;
export const getSimilarityMeasure = () =>
loadConfig().GENERAL.SIMILARITY_MEASURE;
export const getConfigPassword = () => loadConfig().GENERAL.CONFIG_PASSWORD;
export const isDiscoverEnabled = () => loadConfig().GENERAL.DISCOVER_ENABLED;
export const isLibraryEnabled = () => loadConfig().GENERAL.LIBRARY_ENABLED;
export const isCopilotEnabled = () => loadConfig().GENERAL.COPILOT_ENABLED;
export const getKeepAlive = () => loadConfig().GENERAL.KEEP_ALIVE;
export const getOpenaiApiKey = () => loadConfig().MODELS.OPENAI.API_KEY;

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@@ -50,7 +50,7 @@ export const academicSearchResponsePrompt = `
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
- You are set on focus mode 'Academic', this means you will be searching for academic papers and articles on the web.
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

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@@ -50,7 +50,7 @@ export const redditSearchResponsePrompt = `
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
- You are set on focus mode 'Reddit', this means you will be searching for information, opinions and discussions on the web using Reddit.
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

View File

@@ -50,7 +50,7 @@ export const wolframAlphaSearchResponsePrompt = `
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
- You are set on focus mode 'Wolfram Alpha', this means you will be searching for information on the web using Wolfram Alpha. It is a computational knowledge engine that can answer factual queries and perform computations.
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

View File

@@ -50,7 +50,7 @@ export const youtubeSearchResponsePrompt = `
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
- You are set on focus mode 'Youtube', this means you will be searching for videos on the web using Youtube and providing information based on the video's transcrip
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

View File

@@ -10,6 +10,10 @@ import {
getGeminiApiKey,
getOpenaiApiKey,
updateConfig,
getConfigPassword,
isLibraryEnabled,
isCopilotEnabled,
isDiscoverEnabled,
getCustomOpenaiApiUrl,
getCustomOpenaiApiKey,
getCustomOpenaiModelName,
@@ -18,8 +22,16 @@ import logger from '../utils/logger';
const router = express.Router();
router.get('/', async (_, res) => {
router.get('/', async (req, res) => {
try {
const authHeader = req.headers['authorization']?.split(' ')[1];
const password = getConfigPassword();
if (authHeader !== password) {
res.status(401).json({ message: 'Unauthorized' });
return;
}
const config = {};
const [chatModelProviders, embeddingModelProviders] = await Promise.all([
@@ -69,9 +81,22 @@ router.get('/', async (_, res) => {
});
router.post('/', async (req, res) => {
const authHeader = req.headers['authorization']?.split(' ')[1];
const password = getConfigPassword();
if (authHeader !== password) {
res.status(401).json({ message: 'Unauthorized' });
return;
}
const config = req.body;
const updatedConfig = {
GENERAL: {
DISCOVER_ENABLED: config.isDiscoverEnabled,
LIBRARY_ENABLED: config.isLibraryEnabled,
COPILOT_ENABLED: config.isCopilotEnabled,
},
MODELS: {
OPENAI: {
API_KEY: config.openaiApiKey,
@@ -101,4 +126,14 @@ router.post('/', async (req, res) => {
res.status(200).json({ message: 'Config updated' });
});
router.get('/preferences', (_, res) => {
const preferences = {
isLibraryEnabled: isLibraryEnabled(),
isCopilotEnabled: isCopilotEnabled(),
isDiscoverEnabled: isDiscoverEnabled(),
};
res.status(200).json(preferences);
});
export default router;

View File

@@ -9,10 +9,33 @@ const router = express.Router();
router.get('/', async (req, res) => {
try {
const [chatModelProviders, embeddingModelProviders] = await Promise.all([
getAvailableChatModelProviders(),
getAvailableEmbeddingModelProviders(),
]);
const [chatModelProvidersRaw, embeddingModelProvidersRaw] =
await Promise.all([
getAvailableChatModelProviders(),
getAvailableEmbeddingModelProviders(),
]);
const chatModelProviders = {};
const chatModelProvidersKeys = Object.keys(chatModelProvidersRaw);
chatModelProvidersKeys.forEach((provider) => {
chatModelProviders[provider] = {};
const models = Object.keys(chatModelProvidersRaw[provider]);
models.forEach((model) => {
chatModelProviders[provider][model] = {};
});
});
const embeddingModelProviders = {};
const embeddingModelProvidersKeys = Object.keys(embeddingModelProvidersRaw);
embeddingModelProvidersKeys.forEach((provider) => {
embeddingModelProviders[provider] = {};
const models = Object.keys(embeddingModelProvidersRaw[provider]);
models.forEach((model) => {
embeddingModelProviders[provider][model] = {};
});
});
Object.keys(chatModelProviders).forEach((provider) => {
Object.keys(chatModelProviders[provider]).forEach((model) => {

View File

@@ -132,7 +132,7 @@ 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.

View File

@@ -5,8 +5,9 @@ import type { Embeddings } from '@langchain/core/embeddings';
import logger from '../utils/logger';
import db from '../db';
import { chats, messages as messagesSchema } from '../db/schema';
import { eq, asc, gt, and } from 'drizzle-orm';
import { eq, gt, and } from 'drizzle-orm';
import crypto from 'crypto';
import { isLibraryEnabled } from '../config';
import { getFileDetails } from '../utils/files';
import MetaSearchAgent, {
MetaSearchAgentType,
@@ -94,6 +95,8 @@ const handleEmitterEvents = (
let recievedMessage = '';
let sources = [];
const libraryEnabled = isLibraryEnabled();
emitter.on('data', (data) => {
const parsedData = JSON.parse(data);
if (parsedData.type === 'response') {
@@ -119,18 +122,20 @@ const handleEmitterEvents = (
emitter.on('end', () => {
ws.send(JSON.stringify({ type: 'messageEnd', messageId: messageId }));
db.insert(messagesSchema)
.values({
content: recievedMessage,
chatId: chatId,
messageId: messageId,
role: 'assistant',
metadata: JSON.stringify({
createdAt: new Date(),
...(sources && sources.length > 0 && { sources }),
}),
})
.execute();
if (libraryEnabled) {
db.insert(messagesSchema)
.values({
content: recievedMessage,
chatId: chatId,
messageId: messageId,
role: 'assistant',
metadata: JSON.stringify({
createdAt: new Date(),
...(sources && sources.length > 0 && { sources }),
}),
})
.execute();
}
});
emitter.on('error', (data) => {
const parsedData = JSON.parse(data);
@@ -188,6 +193,8 @@ export const handleMessage = async (
const handler: MetaSearchAgentType =
searchHandlers[parsedWSMessage.focusMode];
const libraryEnabled = isLibraryEnabled();
if (handler) {
try {
const emitter = await handler.searchAndAnswer(
@@ -201,50 +208,52 @@ export const handleMessage = async (
handleEmitterEvents(emitter, ws, aiMessageId, parsedMessage.chatId);
const chat = await db.query.chats.findFirst({
where: eq(chats.id, parsedMessage.chatId),
});
if (libraryEnabled) {
const chat = await db.query.chats.findFirst({
where: eq(chats.id, parsedMessage.chatId),
});
if (!chat) {
await db
.insert(chats)
.values({
id: parsedMessage.chatId,
title: parsedMessage.content,
createdAt: new Date().toString(),
focusMode: parsedWSMessage.focusMode,
files: parsedWSMessage.files.map(getFileDetails),
})
.execute();
}
if (!chat) {
await db
.insert(chats)
.values({
id: parsedMessage.chatId,
title: parsedMessage.content,
createdAt: new Date().toString(),
focusMode: parsedWSMessage.focusMode,
files: parsedWSMessage.files.map(getFileDetails),
})
.execute();
}
const messageExists = await db.query.messages.findFirst({
where: eq(messagesSchema.messageId, humanMessageId),
});
const messageExists = await db.query.messages.findFirst({
where: eq(messagesSchema.messageId, humanMessageId),
});
if (!messageExists) {
await db
.insert(messagesSchema)
.values({
content: parsedMessage.content,
chatId: parsedMessage.chatId,
messageId: humanMessageId,
role: 'user',
metadata: JSON.stringify({
createdAt: new Date(),
}),
})
.execute();
} else {
await db
.delete(messagesSchema)
.where(
and(
gt(messagesSchema.id, messageExists.id),
eq(messagesSchema.chatId, parsedMessage.chatId),
),
)
.execute();
if (!messageExists) {
await db
.insert(messagesSchema)
.values({
content: parsedMessage.content,
chatId: parsedMessage.chatId,
messageId: humanMessageId,
role: 'user',
metadata: JSON.stringify({
createdAt: new Date(),
}),
})
.execute();
} else {
await db
.delete(messagesSchema)
.where(
and(
gt(messagesSchema.id, messageExists.id),
eq(messagesSchema.chatId, parsedMessage.chatId),
),
)
.execute();
}
}
} catch (err) {
console.log(err);

View File

@@ -5,7 +5,31 @@ export const metadata: Metadata = {
title: 'Library - Perplexica',
};
const Layout = ({ children }: { children: React.ReactNode }) => {
const Layout = async ({ children }: { children: React.ReactNode }) => {
const res = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/config/preferences`,
{
method: 'GET',
headers: {
'Content-Type': 'application/json',
},
},
);
const data = await res.json();
const { isLibraryEnabled } = data;
if (!isLibraryEnabled) {
return (
<div className="flex flex-row items-center justify-center min-h-screen w-full">
<p className="text-lg dark:text-white/70 text-black/70">
Library is disabled
</p>
</div>
);
}
return <div>{children}</div>;
};

View File

@@ -1,8 +1,9 @@
'use client';
import DeleteChat from '@/components/DeleteChat';
import { cn, formatTimeDifference } from '@/lib/utils';
import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
import { formatTimeDifference } from '@/lib/utils';
import { cn } from '@/lib/utils';
import { BookOpenText, ClockIcon } from 'lucide-react';
import Link from 'next/link';
import { useEffect, useState } from 'react';

View File

@@ -112,6 +112,83 @@ const Page = () => {
const [automaticImageSearch, setAutomaticImageSearch] = useState(false);
const [automaticVideoSearch, setAutomaticVideoSearch] = useState(false);
const [savingStates, setSavingStates] = useState<Record<string, boolean>>({});
const [password, setPassword] = useState('');
const [passwordSubmitted, setPasswordSubmitted] = useState(false);
const [isPasswordValid, setIsPasswordValid] = useState(true);
const handlePasswordSubmit = async () => {
setIsLoading(true);
setPasswordSubmitted(true);
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${password}`,
},
});
if (res.status === 401) {
setIsPasswordValid(false);
setPasswordSubmitted(false);
setIsLoading(false);
return;
} else {
setIsPasswordValid(true);
}
const data = (await res.json()) as SettingsType;
setConfig(data);
const chatModelProvidersKeys = Object.keys(data.chatModelProviders || {});
const embeddingModelProvidersKeys = Object.keys(
data.embeddingModelProviders || {},
);
const defaultChatModelProvider =
chatModelProvidersKeys.length > 0 ? chatModelProvidersKeys[0] : '';
const defaultEmbeddingModelProvider =
embeddingModelProvidersKeys.length > 0
? embeddingModelProvidersKeys[0]
: '';
const chatModelProvider =
localStorage.getItem('chatModelProvider') ||
defaultChatModelProvider ||
'';
const chatModel =
localStorage.getItem('chatModel') ||
(data.chatModelProviders &&
data.chatModelProviders[chatModelProvider]?.length > 0
? data.chatModelProviders[chatModelProvider][0].name
: undefined) ||
'';
const embeddingModelProvider =
localStorage.getItem('embeddingModelProvider') ||
defaultEmbeddingModelProvider ||
'';
const embeddingModel =
localStorage.getItem('embeddingModel') ||
(data.embeddingModelProviders &&
data.embeddingModelProviders[embeddingModelProvider]?.[0].name) ||
'';
setSelectedChatModelProvider(chatModelProvider);
setSelectedChatModel(chatModel);
setSelectedEmbeddingModelProvider(embeddingModelProvider);
setSelectedEmbeddingModel(embeddingModel);
setChatModels(data.chatModelProviders || {});
setEmbeddingModels(data.embeddingModelProviders || {});
setAutomaticImageSearch(
localStorage.getItem('autoImageSearch') === 'true',
);
setAutomaticVideoSearch(
localStorage.getItem('autoVideoSearch') === 'true',
);
setIsLoading(false);
};
useEffect(() => {
const fetchConfig = async () => {
@@ -119,6 +196,7 @@ const Page = () => {
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${password}`,
},
});
@@ -193,11 +271,16 @@ const Page = () => {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${password}`,
},
body: JSON.stringify(updatedConfig),
},
);
if (response.status === 401) {
throw new Error('Unauthorized');
}
if (!response.ok) {
throw new Error('Failed to update config');
}
@@ -211,6 +294,7 @@ const Page = () => {
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${password}`,
},
});
@@ -376,6 +460,33 @@ const Page = () => {
/>
</svg>
</div>
) : !passwordSubmitted ? (
<div className="flex flex-col max-w-md mx-auto mt-10 p-6 bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 rounded-2xl">
<h2 className="text-sm text-black/80 dark:text-white/80">
Enter the password to access the settings
</h2>
<div className="flex flex-col">
<Input
type="password"
placeholder="Password"
className="mt-4"
disabled={isLoading}
onChange={(e) => setPassword(e.target.value)}
/>
</div>
{!isPasswordValid && (
<p className="text-xs text-red-500 mt-2">
Password is incorrect
</p>
)}
<button
onClick={handlePasswordSubmit}
disabled={isLoading}
className="bg-[#24A0ED] flex flex-row items-center text-xs mt-4 text-white disabled:text-white/50 hover:bg-opacity-85 transition duration-100 disabled:bg-[#ececec21] rounded-full px-4 py-2"
>
Submit
</button>
</div>
) : (
config && (
<div className="flex flex-col space-y-6 pb-28 lg:pb-8">

View File

@@ -368,7 +368,7 @@ const loadMessages = async (
const ChatWindow = ({ id }: { id?: string }) => {
const searchParams = useSearchParams();
const initialMessage = searchParams?.get('q');
const initialMessage = searchParams.get('q');
const [chatId, setChatId] = useState<string | undefined>(id);
const [newChatCreated, setNewChatCreated] = useState(false);
@@ -378,9 +378,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
const [isWSReady, setIsWSReady] = useState(false);
const ws = useSocket(
process.env.NEXT_PUBLIC_WS_URL === 'auto'
? `${window.location.protocol === 'https:' ? 'wss:' : 'ws:'}//${window.location.host}/ws`
: process.env.NEXT_PUBLIC_WS_URL!,
process.env.NEXT_PUBLIC_WS_URL!,
setIsWSReady,
setHasError,
);

View File

@@ -1,5 +1,6 @@
import { cn } from '@/lib/utils';
import { Switch } from '@headlessui/react';
import { useEffect } from 'react';
const CopilotToggle = ({
copilotEnabled,
@@ -8,11 +9,33 @@ const CopilotToggle = ({
copilotEnabled: boolean;
setCopilotEnabled: (enabled: boolean) => void;
}) => {
const fetchAndSetCopilotEnabled = async () => {
const res = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/config/preferences`,
{
method: 'GET',
headers: {
'Content-Type': 'application/json',
},
},
);
const preferences = await res.json();
setCopilotEnabled(preferences.isCopilotEnabled);
};
useEffect(() => {
fetchAndSetCopilotEnabled();
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
return (
<div className="group flex flex-row items-center space-x-1 active:scale-95 duration-200 transition cursor-pointer">
<Switch
checked={copilotEnabled}
onChange={setCopilotEnabled}
disabled={true}
className="bg-light-secondary dark:bg-dark-secondary border border-light-200/70 dark:border-dark-200 relative inline-flex h-5 w-10 sm:h-6 sm:w-11 items-center rounded-full"
>
<span className="sr-only">Copilot</span>

View File

@@ -4,9 +4,15 @@ import { cn } from '@/lib/utils';
import { BookOpenText, Home, Search, SquarePen, Settings } from 'lucide-react';
import Link from 'next/link';
import { useSelectedLayoutSegments } from 'next/navigation';
import React, { useState, type ReactNode } from 'react';
import React, { useEffect, useMemo, useState, type ReactNode } from 'react';
import Layout from './Layout';
export type Preferences = {
isLibraryEnabled: boolean;
isDiscoverEnabled: boolean;
isCopilotEnabled: boolean;
};
const VerticalIconContainer = ({ children }: { children: ReactNode }) => {
return (
<div className="flex flex-col items-center gap-y-3 w-full">{children}</div>
@@ -17,6 +23,31 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
const segments = useSelectedLayoutSegments();
const [isSettingsOpen, setIsSettingsOpen] = useState(false);
const [preferences, setPreferences] = useState<Preferences | null>(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const fetchPreferences = async () => {
setLoading(true);
const res = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/config/preferences`,
{
method: 'GET',
headers: {
'Content-Type': 'application/json',
},
},
);
const data = await res.json();
setPreferences(data);
setLoading(false);
};
fetchPreferences();
}, []);
const navLinks = [
{
@@ -24,22 +55,44 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
href: '/',
active: segments.length === 0 || segments.includes('c'),
label: 'Home',
show: true,
},
{
icon: Search,
href: '/discover',
active: segments.includes('discover'),
label: 'Discover',
show: preferences?.isDiscoverEnabled,
},
{
icon: BookOpenText,
href: '/library',
active: segments.includes('library'),
label: 'Library',
show: preferences?.isLibraryEnabled,
},
];
return (
return loading ? (
<div className="flex flex-row items-center justify-center h-full">
<svg
aria-hidden="true"
className="w-8 h-8 text-light-200 fill-light-secondary dark:text-[#202020] animate-spin dark:fill-[#ffffff3b]"
viewBox="0 0 100 101"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M100 50.5908C100.003 78.2051 78.1951 100.003 50.5908 100C22.9765 99.9972 0.997224 78.018 1 50.4037C1.00281 22.7993 22.8108 0.997224 50.4251 1C78.0395 1.00281 100.018 22.8108 100 50.4251ZM9.08164 50.594C9.06312 73.3997 27.7909 92.1272 50.5966 92.1457C73.4023 92.1642 92.1298 73.4365 92.1483 50.6308C92.1669 27.8251 73.4392 9.0973 50.6335 9.07878C27.8278 9.06026 9.10003 27.787 9.08164 50.594Z"
fill="currentColor"
/>
<path
d="M93.9676 39.0409C96.393 38.4037 97.8624 35.9116 96.9801 33.5533C95.1945 28.8227 92.871 24.3692 90.0681 20.348C85.6237 14.1775 79.4473 9.36872 72.0454 6.45794C64.6435 3.54717 56.3134 2.65431 48.3133 3.89319C45.869 4.27179 44.3768 6.77534 45.014 9.20079C45.6512 11.6262 48.1343 13.0956 50.5786 12.717C56.5073 11.8281 62.5542 12.5399 68.0406 14.7911C73.527 17.0422 78.2187 20.7487 81.5841 25.4923C83.7976 28.5886 85.4467 32.059 86.4416 35.7474C87.1273 38.1189 89.5423 39.6781 91.9676 39.0409Z"
fill="currentFill"
/>
</svg>
</div>
) : (
<div>
<div className="hidden lg:fixed lg:inset-y-0 lg:z-50 lg:flex lg:w-20 lg:flex-col">
<div className="flex grow flex-col items-center justify-between gap-y-5 overflow-y-auto bg-light-secondary dark:bg-dark-secondary px-2 py-8">
@@ -47,23 +100,26 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
<SquarePen className="cursor-pointer" />
</a>
<VerticalIconContainer>
{navLinks.map((link, i) => (
<Link
key={i}
href={link.href}
className={cn(
'relative flex flex-row items-center justify-center cursor-pointer hover:bg-black/10 dark:hover:bg-white/10 duration-150 transition w-full py-2 rounded-lg',
link.active
? 'text-black dark:text-white'
: 'text-black/70 dark:text-white/70',
)}
>
<link.icon />
{link.active && (
<div className="absolute right-0 -mr-2 h-full w-1 rounded-l-lg bg-black dark:bg-white" />
)}
</Link>
))}
{navLinks.map(
(link, i) =>
link.show === true && (
<Link
key={i}
href={link.href}
className={cn(
'relative flex flex-row items-center justify-center cursor-pointer hover:bg-black/10 dark:hover:bg-white/10 duration-150 transition w-full py-2 rounded-lg',
link.active
? 'text-black dark:text-white'
: 'text-black/70 dark:text-white/70',
)}
>
<link.icon />
{link.active && (
<div className="absolute right-0 -mr-2 h-full w-1 rounded-l-lg bg-black dark:bg-white" />
)}
</Link>
),
)}
</VerticalIconContainer>
<Link href="/settings">