lossless-group_perplexed-pl.../main.ts

557 lines
21 KiB
TypeScript

import { App, Editor, Notice, Plugin, PluginSettingTab, Setting } from 'obsidian';
import * as dotenv from 'dotenv';
// Import services
import { PerplexityService } from './src/services/perplexityService';
import { PerplexicaService } from './src/services/perplexicaService';
import { LMStudioService } from './src/services/lmStudioService';
// Import modals
import { PerplexityModal } from './src/modals/PerplexityModal';
import { PerplexicaModal } from './src/modals/PerplexicaModal';
import { LMStudioModal } from './src/modals/LMStudioModal';
import { URLUpdateModal } from './src/modals/URLUpdateModal';
import { ArticleGeneratorModal } from './src/modals/ArticleGeneratorModal';
// Load environment variables
dotenv.config({ path: `${process.cwd()}/.env` });
interface PerplexedPluginSettings {
mySetting: string;
localLLMPath: string;
requestBodyTemplate: string;
perplexityRequestTemplate: string;
perplexityApiKey: string;
perplexicaEndpoint: string;
perplexityEndpoint: string;
lmStudioEndpoint: string;
lmStudioRequestTemplate: string;
defaultModel: string;
defaultOptimizationMode: string;
defaultFocusMode: string;
defaultLMStudioModel: string;
}
const DEFAULT_SETTINGS: PerplexedPluginSettings = {
mySetting: 'default',
// Use host.docker.internal to connect to the host machine from Docker containers
localLLMPath: 'http://host.docker.internal:3030/api/search',
perplexicaEndpoint: 'http://localhost:3030/api/search',
perplexityEndpoint: 'https://api.perplexity.ai/chat/completions',
lmStudioEndpoint: 'http://localhost:1234/v1/chat/completions',
requestBodyTemplate: `{
"chatModel": {
"provider": "ollama",
"name": "llama3.2:latest"
},
"embeddingModel": {
"provider": "ollama",
"name": "llama3.2:latest"
},
"optimizationMode": "speed",
"focusMode": "webSearch",
"query": "What is Perplexica's architecture?",
"history": [
{
"role": "user",
"content": "What is Perplexica's architecture?"
}
],
"systemInstructions": "You are a helpful AI assistant. Provide clear, concise, and accurate information.",
"stream": false,
"maxTokens": 2048,
"temperature": 0.7
}`,
perplexityApiKey: process.env.PERPLEXITY_API_KEY || '',
perplexityRequestTemplate: `{
"model": "llama-3.1-sonar-small-128k-online",
"messages": [
{
"role": "system",
"content": "You are a helpful AI assistant. Provide clear, concise, and accurate information with proper citations."
},
{
"role": "user",
"content": "What is Perplexity AI's approach to search?"
}
],
"max_tokens": 2048,
"temperature": 0.7,
"top_p": 0.9,
"return_citations": true,
"search_domain_filter": [],
"return_images": false,
"return_related_questions": false,
"search_recency_filter": "month",
"top_k": 0,
"stream": false,
"presence_penalty": 0,
"frequency_penalty": 1
}`,
lmStudioRequestTemplate: `{
"model": "ibm/granite-3.2-8b",
"messages": [
{
"role": "user",
"content": "Hello, can you help me with this question?"
}
],
"max_tokens": 2048,
"temperature": 0.7,
"stream": false
}`,
defaultModel: 'llama3.2:latest',
defaultOptimizationMode: 'speed',
defaultFocusMode: 'webSearch',
defaultLMStudioModel: 'ibm/granite-3.2-8b'
};
export default class PerplexedPlugin extends Plugin {
public settings: PerplexedPluginSettings = DEFAULT_SETTINGS;
private statusBarItemEl: HTMLElement | null = null;
private ribbonIconEl: HTMLElement | null = null;
// Service instances
private perplexityService!: PerplexityService;
private perplexicaService!: PerplexicaService;
private lmStudioService!: LMStudioService;
async onload(): Promise<void> {
await this.loadSettings();
// Initialize services
this.perplexityService = new PerplexityService({
perplexityApiKey: this.settings.perplexityApiKey,
perplexityEndpoint: this.settings.perplexityEndpoint
});
this.perplexicaService = new PerplexicaService({
perplexicaEndpoint: this.settings.perplexicaEndpoint,
localLLMPath: this.settings.localLLMPath,
defaultModel: this.settings.defaultModel
});
this.lmStudioService = new LMStudioService({
lmStudioEndpoint: this.settings.lmStudioEndpoint
});
// Debug: Log current settings
console.log('Current Perplexica Path:', this.settings.perplexicaEndpoint);
console.log('Full settings:', JSON.stringify(this.settings, null, 2));
// This adds a settings tab so the user can configure various aspects of the plugin
this.addSettingTab(new PerplexedSettingTab(this.app, this));
// Register commands
this.registerPerplexicaCommands();
this.registerPerplexityCommands();
this.registerLMStudioCommands();
this.registerArticleGeneratorCommands();
}
onunload(): void {
this.statusBarItemEl?.remove();
this.ribbonIconEl?.remove();
}
private async loadSettings() {
this.settings = Object.assign({}, DEFAULT_SETTINGS, await this.loadData());
}
public async saveSettings(): Promise<void> {
try {
await this.saveData(this.settings);
} catch (error) {
console.error('Failed to save settings:', error);
new Notice('Failed to save settings');
}
}
// Delegate methods to services
public async queryPerplexity(query: string, model: string, stream: boolean, editor: Editor, options?: {
return_citations?: boolean;
return_images?: boolean;
return_related_questions?: boolean;
search_recency_filter?: string;
}): Promise<void> {
await this.perplexityService.queryPerplexity(query, model, stream, editor, options);
}
public async queryPerplexica(query: string, focusMode: string, optimizationMode: string, stream: boolean, editor: Editor, options?: {
return_images?: boolean;
}): Promise<void> {
await this.perplexicaService.queryPerplexica(query, focusMode, optimizationMode, stream, editor, options);
}
public async queryLMStudio(query: string, model: string, stream: boolean, editor: Editor, options?: {
max_tokens?: number;
temperature?: number;
top_p?: number;
system_prompt?: string;
return_images?: boolean;
}): Promise<void> {
await this.lmStudioService.queryLMStudio(query, model, stream, editor, options);
}
private registerPerplexicaCommands(): void {
// Command to update Perplexica URL
this.addCommand({
id: 'update-perplexica-url',
name: 'Update Perplexica URL',
callback: () => {
const modal = new URLUpdateModal(this.app, {
title: 'Update Perplexica API URL',
label: 'Perplexica API URL',
placeholder: 'http://localhost:3030/api/search',
currentValue: this.settings.perplexicaEndpoint,
onSave: async (newUrl: string) => {
this.settings.perplexicaEndpoint = newUrl;
await this.saveSettings();
}
});
modal.open();
}
});
// Command to show current settings
this.addCommand({
id: 'show-perplexica-settings',
name: 'Show Perplexica Settings',
callback: () => {
new Notice(`Current Perplexica URL: ${this.settings.perplexicaEndpoint}`);
console.log('Perplexica Settings:', this.settings);
}
});
// Command to ask Perplexica
this.addCommand({
id: 'ask-perplexica',
name: 'Ask Perplexica',
editorCallback: (editor: Editor) => {
const modal = new PerplexicaModal(this.app, editor, this.perplexicaService);
modal.open();
}
});
}
private registerPerplexityCommands(): void {
// Command to update Perplexity URL
this.addCommand({
id: 'update-perplexity-url',
name: 'Update Perplexity URL',
callback: () => {
const modal = new URLUpdateModal(this.app, {
title: 'Update Perplexity API URL',
label: 'Perplexity API URL',
placeholder: 'https://api.perplexity.ai/chat/completions',
currentValue: this.settings.perplexityEndpoint,
onSave: async (newUrl: string) => {
this.settings.perplexityEndpoint = newUrl;
await this.saveSettings();
}
});
modal.open();
}
});
// Command to show current Perplexity settings
this.addCommand({
id: 'show-perplexity-settings',
name: 'Show Perplexity Settings',
callback: () => {
new Notice(`Current Perplexity URL: ${this.settings.perplexityEndpoint}`);
console.log('Perplexity Settings:', this.settings);
}
});
// Command to ask Perplexity
this.addCommand({
id: 'ask-perplexity',
name: 'Ask Perplexity',
editorCallback: (editor: Editor) => {
const modal = new PerplexityModal(this.app, editor, this.perplexityService);
modal.open();
}
});
}
private registerLMStudioCommands(): void {
// Command to update LM Studio URL
this.addCommand({
id: 'update-lmstudio-url',
name: 'Update LM Studio URL',
callback: () => {
const modal = new URLUpdateModal(this.app, {
title: 'Update LM Studio API URL',
label: 'LM Studio API URL',
placeholder: 'http://localhost:1234/v1/chat/completions',
currentValue: this.settings.lmStudioEndpoint,
onSave: async (newUrl: string) => {
this.settings.lmStudioEndpoint = newUrl;
await this.saveSettings();
}
});
modal.open();
}
});
// Command to show current LM Studio settings
this.addCommand({
id: 'show-lmstudio-settings',
name: 'Show LM Studio Settings',
callback: () => {
new Notice(`Current LM Studio URL: ${this.settings.lmStudioEndpoint}`);
console.log('LM Studio Settings:', this.settings);
}
});
// Command to ask LM Studio
this.addCommand({
id: 'ask-lmstudio',
name: 'Ask LM Studio',
editorCallback: (editor: Editor) => {
const modal = new LMStudioModal(this.app, editor, this.lmStudioService);
modal.open();
}
});
}
private registerArticleGeneratorCommands(): void {
// Register Article Generator command
this.addCommand({
id: 'generate-article',
name: 'Generate One-Page Article',
editorCallback: (editor: Editor) => {
new ArticleGeneratorModal(this.app, editor, this.perplexityService).open();
}
});
}
}
class PerplexedSettingTab extends PluginSettingTab {
plugin: PerplexedPlugin;
constructor(app: App, plugin: PerplexedPlugin) {
super(app, plugin);
this.plugin = plugin;
}
display(): void {
const { containerEl } = this;
containerEl.empty();
containerEl.createEl('h2', { text: 'Perplexed Plugin Settings' });
// Perplexity Section
const perplexityHeader = containerEl.createEl('h3', { text: 'Perplexity (Remote Service)' });
perplexityHeader.style.color = 'var(--text-accent)';
containerEl.createEl('p', {
text: 'Configure settings for the hosted Perplexity AI service',
cls: 'setting-item-description'
});
new Setting(containerEl)
.setName('Endpoint')
.setDesc('API endpoint for Perplexity service')
.addText(text => text
.setPlaceholder('https://api.perplexity.ai/chat/completions')
.setValue(this.plugin.settings.perplexityEndpoint)
.onChange(async (value: string) => {
this.plugin.settings.perplexityEndpoint = value;
await this.plugin.saveSettings();
})
);
new Setting(containerEl)
.setName('API Key')
.setDesc('Your Perplexity API key (required for remote service)')
.addText(text => text
.setPlaceholder('pplx-xxxxxxxxxxxxxxxxxxxxx')
.setValue(this.plugin.settings.perplexityApiKey)
.onChange(async (value: string) => {
this.plugin.settings.perplexityApiKey = value;
await this.plugin.saveSettings();
})
);
// Perplexity Request Template
const perplexityJsonSetting = new Setting(containerEl)
.setName('Request Body Template')
.setDesc('JSON template for Perplexity API requests');
// Create a textarea element for Perplexity
const perplexityTextArea = document.createElement('textarea');
perplexityTextArea.rows = 10;
perplexityTextArea.cols = 50;
perplexityTextArea.style.width = '100%';
perplexityTextArea.style.minHeight = '300px';
perplexityTextArea.style.fontFamily = 'monospace';
perplexityTextArea.placeholder = 'Enter Perplexity JSON request template...';
// Set initial value if it exists
if (this.plugin.settings.perplexityRequestTemplate) {
try {
const config = JSON.parse(this.plugin.settings.perplexityRequestTemplate);
perplexityTextArea.value = JSON.stringify(config, null, 2);
} catch (e) {
// If not valid JSON, use as is
perplexityTextArea.value = this.plugin.settings.perplexityRequestTemplate;
}
}
// Add input event listener for Perplexity
perplexityTextArea.addEventListener('input', async () => {
this.plugin.settings.perplexityRequestTemplate = perplexityTextArea.value;
await this.plugin.saveSettings();
});
// Add the textarea to the setting
perplexityJsonSetting.settingEl.appendChild(perplexityTextArea);
// Perplexica Section
const perplexicaHeader = containerEl.createEl('h3', { text: 'Perplexica (Self-Hosted)' });
perplexicaHeader.style.color = 'var(--text-accent)';
containerEl.createEl('p', {
text: 'Configure settings for your local Perplexica installation',
cls: 'setting-item-description'
});
new Setting(containerEl)
.setName('Endpoint')
.setDesc('API endpoint for your local Perplexica instance')
.addText(text => text
.setPlaceholder('http://localhost:3030/api/search')
.setValue(this.plugin.settings.perplexicaEndpoint)
.onChange(async (value: string) => {
this.plugin.settings.perplexicaEndpoint = value;
await this.plugin.saveSettings();
})
);
new Setting(containerEl)
.setName('Fallback Container Path')
.setDesc('Alternative endpoint for Docker container setups')
.addText(text => text
.setPlaceholder('http://host.docker.internal:3030/api/search')
.setValue(this.plugin.settings.localLLMPath)
.onChange(async (value: string) => {
this.plugin.settings.localLLMPath = value;
await this.plugin.saveSettings();
})
);
new Setting(containerEl)
.setName('Default Model')
.setDesc('Default AI model for Perplexica to use')
.addText(text => text
.setPlaceholder('llama3.2:latest')
.setValue(this.plugin.settings.defaultModel)
.onChange(async (value: string) => {
this.plugin.settings.defaultModel = value;
await this.plugin.saveSettings();
})
);
// Perplexica Request Template
const perplexicaJsonSetting = new Setting(containerEl)
.setName('Request Body Template')
.setDesc('JSON template for Perplexica API requests');
// Create a textarea element for Perplexica
const perplexicaTextArea = document.createElement('textarea');
perplexicaTextArea.rows = 10;
perplexicaTextArea.cols = 50;
perplexicaTextArea.style.width = '100%';
perplexicaTextArea.style.minHeight = '300px';
perplexicaTextArea.style.fontFamily = 'monospace';
perplexicaTextArea.placeholder = 'Enter Perplexica JSON request template...';
// Set initial value if it exists
if (this.plugin.settings.requestBodyTemplate) {
try {
const config = JSON.parse(this.plugin.settings.requestBodyTemplate);
perplexicaTextArea.value = JSON.stringify(config, null, 2);
} catch (e) {
// If not valid JSON, use as is
perplexicaTextArea.value = this.plugin.settings.requestBodyTemplate;
}
}
// Add input event listener for Perplexica
perplexicaTextArea.addEventListener('input', async () => {
this.plugin.settings.requestBodyTemplate = perplexicaTextArea.value;
await this.plugin.saveSettings();
});
// Add the textarea to the setting
perplexicaJsonSetting.settingEl.appendChild(perplexicaTextArea);
// LM Studio Section
const lmStudioHeader = containerEl.createEl('h3', { text: 'LM Studio (Local Models)' });
lmStudioHeader.style.color = 'var(--text-accent)';
containerEl.createEl('p', {
text: 'Configure settings for your local LM Studio installation with loaded models',
cls: 'setting-item-description'
});
new Setting(containerEl)
.setName('Endpoint')
.setDesc('API endpoint for your local LM Studio instance')
.addText(text => text
.setPlaceholder('http://localhost:1234/v1/chat/completions')
.setValue(this.plugin.settings.lmStudioEndpoint)
.onChange(async (value: string) => {
this.plugin.settings.lmStudioEndpoint = value;
await this.plugin.saveSettings();
})
);
new Setting(containerEl)
.setName('Default Model')
.setDesc('Default model name for LM Studio to use')
.addText(text => text
.setPlaceholder('ibm/granite-3.2-8b')
.setValue(this.plugin.settings.defaultLMStudioModel)
.onChange(async (value: string) => {
this.plugin.settings.defaultLMStudioModel = value;
await this.plugin.saveSettings();
})
);
// LM Studio Request Template
const lmStudioJsonSetting = new Setting(containerEl)
.setName('Request Body Template')
.setDesc('JSON template for LM Studio API requests');
// Create a textarea element for LM Studio
const lmStudioTextArea = document.createElement('textarea');
lmStudioTextArea.rows = 10;
lmStudioTextArea.cols = 50;
lmStudioTextArea.style.width = '100%';
lmStudioTextArea.style.minHeight = '300px';
lmStudioTextArea.style.fontFamily = 'monospace';
lmStudioTextArea.placeholder = 'Enter LM Studio JSON request template...';
// Set initial value if it exists
if (this.plugin.settings.lmStudioRequestTemplate) {
try {
const config = JSON.parse(this.plugin.settings.lmStudioRequestTemplate);
lmStudioTextArea.value = JSON.stringify(config, null, 2);
} catch (e) {
// If not valid JSON, use as is
lmStudioTextArea.value = this.plugin.settings.lmStudioRequestTemplate;
}
}
// Add input event listener for LM Studio
lmStudioTextArea.addEventListener('input', async () => {
this.plugin.settings.lmStudioRequestTemplate = lmStudioTextArea.value;
await this.plugin.saveSettings();
});
// Add the textarea to the setting
lmStudioJsonSetting.settingEl.appendChild(lmStudioTextArea);
}
}