Compare commits
11
Commits
v0.5.11
...
1b74968006
| Author | SHA1 | Date | |
|---|---|---|---|
 Илья Глазунов
|
1b74968006 | ||
|
Илья Глазунов
|
4cf48ee0af | ||
|
Илья Глазунов
|
494e692738 | ||
|
Илья Глазунов
|
8b216bbb33 | ||
|
Илья Глазунов
|
bd62cf5524 | ||
|
Илья Глазунов
|
bfd76dc0c1 | ||
|
Илья Глазунов
|
310b6b3fbd | ||
|
Илья Глазунов
|
3a8d9705a2 | ||
|
Илья Глазунов
|
06e178762d | ||
|
Илья Глазунов
|
656e8f0932 | ||
|
Илья Глазунов
|
669c019fd8 |
@@ -1,100 +1,100 @@
|
||||
name: Build and Release
|
||||
|
||||
on:
|
||||
push:
|
||||
tags:
|
||||
- 'v*.*.*'
|
||||
push:
|
||||
tags:
|
||||
- 'v*.*.*'
|
||||
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
jobs:
|
||||
build:
|
||||
if: github.server_url == 'https://github.com'
|
||||
|
||||
strategy:
|
||||
matrix:
|
||||
include:
|
||||
- os: macos-latest
|
||||
platform: darwin
|
||||
arch: x64
|
||||
- os: macos-latest
|
||||
platform: darwin
|
||||
arch: arm64
|
||||
- os: ubuntu-latest
|
||||
platform: linux
|
||||
arch: x64
|
||||
- os: windows-latest
|
||||
platform: win32
|
||||
arch: x64
|
||||
build:
|
||||
if: github.server_url == 'https://github.com'
|
||||
|
||||
runs-on: ${{ matrix.os }}
|
||||
strategy:
|
||||
matrix:
|
||||
include:
|
||||
- os: macos-latest
|
||||
platform: darwin
|
||||
arch: x64
|
||||
- os: macos-latest
|
||||
platform: darwin
|
||||
arch: arm64
|
||||
- os: ubuntu-latest
|
||||
platform: linux
|
||||
arch: x64
|
||||
- os: windows-latest
|
||||
platform: win32
|
||||
arch: x64
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
runs-on: ${{ matrix.os }}
|
||||
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: 20
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Setup pnpm
|
||||
uses: pnpm/action-setup@v4
|
||||
with:
|
||||
version: 9
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: 20
|
||||
|
||||
- name: Install dependencies
|
||||
run: pnpm install
|
||||
- name: Setup pnpm
|
||||
uses: pnpm/action-setup@v4
|
||||
with:
|
||||
version: 9
|
||||
|
||||
- name: Build for ${{ matrix.platform }}-${{ matrix.arch }}
|
||||
run: pnpm run make -- --arch=${{ matrix.arch }}
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Install dependencies
|
||||
run: pnpm install
|
||||
|
||||
- name: Upload artifacts
|
||||
uses: actions/upload-artifact@v4
|
||||
with:
|
||||
name: release-${{ matrix.platform }}-${{ matrix.arch }}
|
||||
path: |
|
||||
out/make/**/*.dmg
|
||||
out/make/**/*.zip
|
||||
out/make/**/*.exe
|
||||
out/make/**/*.AppImage
|
||||
out/make/**/*.deb
|
||||
out/make/**/*.rpm
|
||||
if-no-files-found: ignore
|
||||
- name: Build for ${{ matrix.platform }}-${{ matrix.arch }}
|
||||
run: pnpm run make -- --arch=${{ matrix.arch }}
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
release:
|
||||
needs: build
|
||||
runs-on: ubuntu-latest
|
||||
if: github.server_url == 'https://github.com'
|
||||
|
||||
permissions:
|
||||
contents: write
|
||||
- name: Upload artifacts
|
||||
uses: actions/upload-artifact@v4
|
||||
with:
|
||||
name: release-${{ matrix.platform }}-${{ matrix.arch }}
|
||||
path: |
|
||||
out/make/**/*.dmg
|
||||
out/make/**/*.zip
|
||||
out/make/**/*.exe
|
||||
out/make/**/*.AppImage
|
||||
out/make/**/*.deb
|
||||
out/make/**/*.rpm
|
||||
if-no-files-found: ignore
|
||||
|
||||
steps:
|
||||
- name: Download all artifacts
|
||||
uses: actions/download-artifact@v4
|
||||
with:
|
||||
path: artifacts
|
||||
pattern: release-*
|
||||
merge-multiple: true
|
||||
release:
|
||||
needs: build
|
||||
runs-on: ubuntu-latest
|
||||
if: github.server_url == 'https://github.com'
|
||||
|
||||
- name: List artifacts
|
||||
run: find artifacts -type f | head -50
|
||||
permissions:
|
||||
contents: write
|
||||
|
||||
- name: Create Draft Release
|
||||
uses: softprops/action-gh-release@v2
|
||||
with:
|
||||
draft: true
|
||||
generate_release_notes: true
|
||||
files: |
|
||||
artifacts/**/*.dmg
|
||||
artifacts/**/*.zip
|
||||
artifacts/**/*.exe
|
||||
artifacts/**/*.AppImage
|
||||
artifacts/**/*.deb
|
||||
artifacts/**/*.rpm
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
steps:
|
||||
- name: Download all artifacts
|
||||
uses: actions/download-artifact@v4
|
||||
with:
|
||||
path: artifacts
|
||||
pattern: release-*
|
||||
merge-multiple: true
|
||||
|
||||
- name: List artifacts
|
||||
run: find artifacts -type f | head -50
|
||||
|
||||
- name: Create Draft Release
|
||||
uses: softprops/action-gh-release@v2
|
||||
with:
|
||||
draft: true
|
||||
generate_release_notes: true
|
||||
files: |
|
||||
artifacts/**/*.dmg
|
||||
artifacts/**/*.zip
|
||||
artifacts/**/*.exe
|
||||
artifacts/**/*.AppImage
|
||||
artifacts/**/*.deb
|
||||
artifacts/**/*.rpm
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
@@ -1,2 +0,0 @@
|
||||
src/assets
|
||||
node_modules
|
||||
-10
@@ -1,10 +0,0 @@
|
||||
{
|
||||
"semi": true,
|
||||
"tabWidth": 4,
|
||||
"printWidth": 150,
|
||||
"singleQuote": true,
|
||||
"trailingComma": "es5",
|
||||
"bracketSpacing": true,
|
||||
"arrowParens": "avoid",
|
||||
"endOfLine": "lf"
|
||||
}
|
||||
@@ -1,10 +1,5 @@
|
||||
<img width="1299" height="424" alt="cd (1)" src="https://github.com/user-attachments/assets/b25fff4d-043d-4f38-9985-f832ae0d0f6e" />
|
||||
|
||||
## Recall.ai - API for desktop recording
|
||||
|
||||
If you’re looking for a hosted desktop recording API, consider checking out [Recall.ai](https://www.recall.ai/product/desktop-recording-sdk/?utm_source=github&utm_medium=sponsorship&utm_campaign=sohzm-cheating-daddy), an API that records Zoom, Google Meet, Microsoft Teams, in-person meetings, and more.
|
||||
|
||||
This project is sponsored by Recall.ai.
|
||||
<!-- <img width="1299" height="424" alt="cd (1)" src="https://github.com/user-attachments/assets/b25fff4d-043d-4f38-9985-f832ae0d0f6e" /> -->
|
||||
# Mastermind
|
||||
|
||||
---
|
||||
|
||||
@@ -14,33 +9,36 @@ This project is sponsored by Recall.ai.
|
||||
> [!NOTE]
|
||||
> During testing it wont answer if you ask something, you need to simulate interviewer asking question, which it will answer
|
||||
|
||||
A real-time AI assistant that provides contextual help during video calls, interviews, presentations, and meetings using screen capture and audio analysis.
|
||||
A real-time AI assistant that provides contextual help during video calls, interviews, presentations, and meetings using screen capture and audio analysis. It is fork of [Cheating Daddy](https://github.com/sohzm/cheating-daddy) project.
|
||||
|
||||
## Features
|
||||
|
||||
- **Live AI Assistance**: Real-time help powered by Google Gemini 2.0 Flash Live
|
||||
- **Live AI Assistance**: Real-time help powered by Gemini API / OpenAI SDK / OpenAI Realtime API, so you can choose which one you want to use
|
||||
- **Screen & Audio Capture**: Analyzes what you see and hear for contextual responses
|
||||
- **Multiple Profiles**: Interview, Sales Call, Business Meeting, Presentation, Negotiation
|
||||
- **Transparent Overlay**: Always-on-top window that can be positioned anywhere
|
||||
- **Transparent Overlay**: Always-on-top window that can be positioned anywhere, if something goes wrong you can hide it without stoping session and losing context!
|
||||
- **Click-through Mode**: Make window transparent to clicks when needed
|
||||
- **Cross-platform**: Works on macOS, Windows, and Linux (kinda, dont use, just for testing rn)
|
||||
|
||||
## Setup
|
||||
|
||||
1. **Get a Gemini API Key**: Visit [Google AI Studio](https://aistudio.google.com/apikey)
|
||||
2. **Install Dependencies**: `npm install`
|
||||
3. **Run the App**: `npm start`
|
||||
1. **Get a API Key**: Visit [Google AI Studio](https://aistudio.google.com/apikey) or [OpenAI](https://platform.openai.com/docs/api-reference) or any other OpenAI-compatible API!
|
||||
2. **Install Dependencies**: `pnpm install`
|
||||
3. **Run the App**: `pnpm start`
|
||||
|
||||
## Usage
|
||||
|
||||
1. Enter your Gemini API key in the main window
|
||||
1. Enter your API key in the main window, select provider and model you want to use in preferences
|
||||
2. Choose your profile and language in settings
|
||||
3. Click "Start Session" to begin
|
||||
4. Position the window using keyboard shortcuts
|
||||
5. The AI will provide real-time assistance based on your screen and what interview asks
|
||||
3. Click "Start Session" to begin, if you want to use push-to-talk mode, you can enable it in preferences
|
||||
4. Position the window using keyboard shortcuts, or use your mouse to move it
|
||||
5. The AI will provide real-time assistance based on your screen and system audio/microphone input, you can also send text messages to AI by pressing Enter
|
||||
|
||||
## Keyboard Shortcuts
|
||||
|
||||
> [!NOTE]
|
||||
> All keyboard shortcuts are customizable in settings. You can check some default shortcuts below.
|
||||
|
||||
- **Window Movement**: `Ctrl/Cmd + Arrow Keys` - Move window
|
||||
- **Click-through**: `Ctrl/Cmd + M` - Toggle mouse events
|
||||
- **Close/Back**: `Ctrl/Cmd + \` - Close window or go back
|
||||
@@ -48,13 +46,13 @@ A real-time AI assistant that provides contextual help during video calls, inter
|
||||
|
||||
## Audio Capture
|
||||
|
||||
- **macOS**: [SystemAudioDump](https://github.com/Mohammed-Yasin-Mulla/Sound) for system audio
|
||||
- **Windows**: Loopback audio capture
|
||||
- **macOS**: [SystemAudioDump](https://github.com/Mohammed-Yasin-Mulla/Sound) for system audio capture, you can use microphone input as well
|
||||
- **Windows**: Loopback audio capture, you can use microphone input as well
|
||||
- **Linux**: Microphone input
|
||||
|
||||
## Requirements
|
||||
|
||||
- Electron-compatible OS (macOS, Windows, Linux)
|
||||
- Gemini API key
|
||||
- AI Provider API key
|
||||
- Screen recording permissions
|
||||
- Microphone/audio permissions
|
||||
|
||||
@@ -10,8 +10,6 @@
|
||||
<true/>
|
||||
<key>com.apple.security.cs.disable-library-validation</key>
|
||||
<true/>
|
||||
<key>com.apple.security.cs.allow-dyld-environment-variables</key>
|
||||
<true/>
|
||||
<key>com.apple.security.device.audio-input</key>
|
||||
<true/>
|
||||
<key>com.apple.security.device.microphone</key>
|
||||
|
||||
+17
-40
@@ -1,45 +1,26 @@
|
||||
const { FusesPlugin } = require('@electron-forge/plugin-fuses');
|
||||
const { FuseV1Options, FuseVersion } = require('@electron/fuses');
|
||||
const path = require('path');
|
||||
const fs = require('fs');
|
||||
|
||||
module.exports = {
|
||||
packagerConfig: {
|
||||
asar: true,
|
||||
asar: {
|
||||
unpack: '**/{onnxruntime-node,onnxruntime-common,@huggingface/transformers,sharp,@img}/**',
|
||||
},
|
||||
extraResource: ['./src/assets/SystemAudioDump'],
|
||||
name: 'Cheating Daddy',
|
||||
name: 'Mastermind',
|
||||
icon: 'src/assets/logo',
|
||||
// Fix executable permissions after packaging
|
||||
afterCopy: [
|
||||
(buildPath, electronVersion, platform, arch, callback) => {
|
||||
if (platform === 'darwin') {
|
||||
const systemAudioDump = path.join(buildPath, '..', 'Resources', 'SystemAudioDump');
|
||||
if (fs.existsSync(systemAudioDump)) {
|
||||
try {
|
||||
fs.chmodSync(systemAudioDump, 0o755);
|
||||
console.log('✓ Set executable permissions for SystemAudioDump');
|
||||
} catch (err) {
|
||||
console.error('✗ Failed to set permissions:', err.message);
|
||||
}
|
||||
} else {
|
||||
console.warn('SystemAudioDump not found at:', systemAudioDump);
|
||||
}
|
||||
}
|
||||
callback();
|
||||
},
|
||||
],
|
||||
// use `security find-identity -v -p codesigning` to find your identity
|
||||
// for macos signing
|
||||
// Disabled for local builds - ad-hoc signing causes issues
|
||||
// also fuck apple
|
||||
// osxSign: {
|
||||
// identity: '-', // ad-hoc signing (no Apple Developer account needed)
|
||||
// optionsForFile: (filePath) => {
|
||||
// return {
|
||||
// entitlements: 'entitlements.plist',
|
||||
// };
|
||||
// },
|
||||
// identity: '<paste your identity here>',
|
||||
// optionsForFile: (filePath) => {
|
||||
// return {
|
||||
// entitlements: 'entitlements.plist',
|
||||
// };
|
||||
// },
|
||||
// },
|
||||
// notarize is off - requires Apple Developer account
|
||||
// notarize if off cuz i ran this for 6 hours and it still didnt finish
|
||||
// osxNotarize: {
|
||||
// appleId: 'your apple id',
|
||||
// appleIdPassword: 'app specific password',
|
||||
@@ -51,9 +32,9 @@ module.exports = {
|
||||
{
|
||||
name: '@electron-forge/maker-squirrel',
|
||||
config: {
|
||||
name: 'cheating-daddy',
|
||||
productName: 'Cheating Daddy',
|
||||
shortcutName: 'Cheating Daddy',
|
||||
name: 'mastermind',
|
||||
productName: 'Mastermind',
|
||||
shortcutName: 'Mastermind',
|
||||
createDesktopShortcut: true,
|
||||
createStartMenuShortcut: true,
|
||||
},
|
||||
@@ -61,18 +42,14 @@ module.exports = {
|
||||
{
|
||||
name: '@electron-forge/maker-dmg',
|
||||
platforms: ['darwin'],
|
||||
config: {
|
||||
name: 'CheatingDaddy',
|
||||
format: 'ULFO',
|
||||
},
|
||||
},
|
||||
{
|
||||
name: '@reforged/maker-appimage',
|
||||
platforms: ['linux'],
|
||||
config: {
|
||||
options: {
|
||||
name: 'Cheating Daddy',
|
||||
productName: 'Cheating Daddy',
|
||||
name: 'Mastermind',
|
||||
productName: 'Mastermind',
|
||||
genericName: 'AI Assistant',
|
||||
description: 'AI assistant for interviews and learning',
|
||||
categories: ['Development', 'Education'],
|
||||
|
||||
+31
-24
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"name": "cheating-daddy",
|
||||
"productName": "cheating-daddy",
|
||||
"version": "0.5.11",
|
||||
"description": "cheating daddy",
|
||||
"name": "mastermind",
|
||||
"productName": "Mastermind",
|
||||
"version": "0.7.0",
|
||||
"description": "Mastermind AI assistant",
|
||||
"main": "src/index.js",
|
||||
"scripts": {
|
||||
"start": "electron-forge start",
|
||||
@@ -12,11 +12,11 @@
|
||||
"lint": "echo \"No linting configured\""
|
||||
},
|
||||
"keywords": [
|
||||
"cheating daddy",
|
||||
"cheating daddy ai",
|
||||
"cheating daddy ai assistant",
|
||||
"cheating daddy ai assistant for interviews",
|
||||
"cheating daddy ai assistant for interviews"
|
||||
"mastermind",
|
||||
"mastermind ai",
|
||||
"mastermind ai assistant",
|
||||
"mastermind ai assistant for interviews",
|
||||
"mastermind ai assistant for interviews"
|
||||
],
|
||||
"author": {
|
||||
"name": "ShiftyX1",
|
||||
@@ -24,23 +24,30 @@
|
||||
},
|
||||
"license": "GPL-3.0",
|
||||
"dependencies": {
|
||||
"@google/genai": "^1.35.0",
|
||||
"@google/genai": "^1.41.0",
|
||||
"@huggingface/transformers": "^3.8.1",
|
||||
"electron-squirrel-startup": "^1.0.1",
|
||||
"openai": "^6.16.0",
|
||||
"ws": "^8.18.0"
|
||||
"ollama": "^0.6.3",
|
||||
"openai": "^6.22.0",
|
||||
"p-retry": "^4.6.2",
|
||||
"ws": "^8.19.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@electron-forge/cli": "^7.11.1",
|
||||
"@electron-forge/maker-deb": "^7.11.1",
|
||||
"@electron-forge/maker-dmg": "^7.11.1",
|
||||
"@electron-forge/maker-rpm": "^7.11.1",
|
||||
"@electron-forge/maker-squirrel": "^7.11.1",
|
||||
"@electron-forge/maker-zip": "^7.11.1",
|
||||
"@electron-forge/plugin-auto-unpack-natives": "^7.11.1",
|
||||
"@electron-forge/plugin-fuses": "^7.11.1",
|
||||
"@electron/fuses": "^2.0.0",
|
||||
"@electron/osx-sign": "^2.3.0",
|
||||
"@reforged/maker-appimage": "^5.1.1",
|
||||
"electron": "^39.2.7"
|
||||
"@electron-forge/cli": "^7.8.1",
|
||||
"@electron-forge/maker-deb": "^7.8.1",
|
||||
"@electron-forge/maker-dmg": "^7.8.1",
|
||||
"@electron-forge/maker-rpm": "^7.8.1",
|
||||
"@electron-forge/maker-squirrel": "^7.8.1",
|
||||
"@electron-forge/maker-zip": "^7.8.1",
|
||||
"@electron-forge/plugin-auto-unpack-natives": "^7.8.1",
|
||||
"@electron-forge/plugin-fuses": "^7.8.1",
|
||||
"@electron/fuses": "^1.8.0",
|
||||
"@reforged/maker-appimage": "^5.0.0",
|
||||
"electron": "^30.0.5"
|
||||
},
|
||||
"pnpm": {
|
||||
"overrides": {
|
||||
"p-retry": "4.6.2"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Generated
+667
-184
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,8 @@
|
||||
onlyBuiltDependencies:
|
||||
- electron
|
||||
- electron-winstaller
|
||||
- fs-xattr
|
||||
- macos-alias
|
||||
- onnxruntime-node
|
||||
- protobufjs
|
||||
- sharp
|
||||
+13
-209
@@ -3,7 +3,7 @@ import { html, css, LitElement } from '../../assets/lit-core-2.7.4.min.js';
|
||||
export class AppHeader extends LitElement {
|
||||
static styles = css`
|
||||
* {
|
||||
font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
|
||||
font-family: var(--font);
|
||||
cursor: default;
|
||||
user-select: none;
|
||||
}
|
||||
@@ -14,14 +14,14 @@ export class AppHeader extends LitElement {
|
||||
align-items: center;
|
||||
padding: var(--header-padding);
|
||||
background: var(--header-background);
|
||||
border-bottom: 1px solid var(--border-color);
|
||||
border-bottom: 1px solid var(--border);
|
||||
}
|
||||
|
||||
.header-title {
|
||||
flex: 1;
|
||||
font-size: var(--header-font-size);
|
||||
font-weight: 500;
|
||||
color: var(--text-color);
|
||||
color: var(--text-primary);
|
||||
-webkit-app-region: drag;
|
||||
}
|
||||
|
||||
@@ -39,8 +39,8 @@ export class AppHeader extends LitElement {
|
||||
|
||||
.button {
|
||||
background: transparent;
|
||||
color: var(--text-color);
|
||||
border: 1px solid var(--border-color);
|
||||
color: var(--text-primary);
|
||||
border: 1px solid var(--border);
|
||||
padding: var(--header-button-padding);
|
||||
border-radius: 3px;
|
||||
font-size: var(--header-font-size-small);
|
||||
@@ -73,7 +73,7 @@ export class AppHeader extends LitElement {
|
||||
|
||||
.icon-button:hover {
|
||||
background: var(--hover-background);
|
||||
color: var(--text-color);
|
||||
color: var(--text-primary);
|
||||
}
|
||||
|
||||
:host([isclickthrough]) .button:hover,
|
||||
@@ -86,7 +86,7 @@ export class AppHeader extends LitElement {
|
||||
padding: 2px 6px;
|
||||
border-radius: 3px;
|
||||
font-size: 11px;
|
||||
font-family: 'SF Mono', Monaco, monospace;
|
||||
font-family: var(--font-mono);
|
||||
}
|
||||
|
||||
.click-through-indicator {
|
||||
@@ -95,7 +95,7 @@ export class AppHeader extends LitElement {
|
||||
background: var(--key-background);
|
||||
padding: 2px 6px;
|
||||
border-radius: 3px;
|
||||
font-family: 'SF Mono', Monaco, monospace;
|
||||
font-family: var(--font-mono);
|
||||
}
|
||||
|
||||
.update-button {
|
||||
@@ -120,148 +120,6 @@ export class AppHeader extends LitElement {
|
||||
.update-button:hover {
|
||||
background: rgba(241, 76, 76, 0.1);
|
||||
}
|
||||
|
||||
.status-wrapper {
|
||||
position: relative;
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.status-text {
|
||||
font-size: var(--header-font-size-small);
|
||||
color: var(--text-secondary);
|
||||
max-width: 120px;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.status-text.error {
|
||||
color: #f14c4c;
|
||||
}
|
||||
|
||||
.status-tooltip {
|
||||
position: absolute;
|
||||
top: 100%;
|
||||
right: 0;
|
||||
margin-top: 8px;
|
||||
background: var(--tooltip-bg, #1a1a1a);
|
||||
color: var(--tooltip-text, #ffffff);
|
||||
padding: 10px 14px;
|
||||
border-radius: 6px;
|
||||
font-size: 12px;
|
||||
max-width: 300px;
|
||||
word-wrap: break-word;
|
||||
white-space: normal;
|
||||
opacity: 0;
|
||||
visibility: hidden;
|
||||
transition: opacity 0.15s ease, visibility 0.15s ease;
|
||||
pointer-events: none;
|
||||
box-shadow: 0 4px 12px rgba(0,0,0,0.3);
|
||||
z-index: 1000;
|
||||
line-height: 1.4;
|
||||
}
|
||||
|
||||
.status-tooltip::before {
|
||||
content: '';
|
||||
position: absolute;
|
||||
bottom: 100%;
|
||||
right: 16px;
|
||||
border: 6px solid transparent;
|
||||
border-bottom-color: var(--tooltip-bg, #1a1a1a);
|
||||
}
|
||||
|
||||
.status-wrapper:hover .status-tooltip {
|
||||
opacity: 1;
|
||||
visibility: visible;
|
||||
}
|
||||
|
||||
.status-tooltip .tooltip-label {
|
||||
font-size: 10px;
|
||||
text-transform: uppercase;
|
||||
opacity: 0.6;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.status-tooltip .tooltip-content {
|
||||
color: #f14c4c;
|
||||
}
|
||||
|
||||
.model-info {
|
||||
display: flex;
|
||||
gap: 6px;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.model-badge {
|
||||
font-size: 10px;
|
||||
color: var(--text-muted);
|
||||
background: var(--key-background);
|
||||
padding: 2px 6px;
|
||||
border-radius: 3px;
|
||||
font-family: 'SF Mono', Monaco, monospace;
|
||||
max-width: 100px;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.model-badge-wrapper {
|
||||
position: relative;
|
||||
display: inline-flex;
|
||||
}
|
||||
|
||||
.model-badge-wrapper .model-tooltip {
|
||||
position: absolute;
|
||||
top: 100%;
|
||||
right: 0;
|
||||
margin-top: 8px;
|
||||
background: var(--tooltip-bg, #1a1a1a);
|
||||
color: var(--tooltip-text, #ffffff);
|
||||
padding: 10px 14px;
|
||||
border-radius: 6px;
|
||||
font-size: 12px;
|
||||
white-space: nowrap;
|
||||
opacity: 0;
|
||||
visibility: hidden;
|
||||
transition: opacity 0.15s ease, visibility 0.15s ease;
|
||||
pointer-events: none;
|
||||
box-shadow: 0 4px 12px rgba(0,0,0,0.3);
|
||||
z-index: 1000;
|
||||
}
|
||||
|
||||
.model-badge-wrapper .model-tooltip::before {
|
||||
content: '';
|
||||
position: absolute;
|
||||
bottom: 100%;
|
||||
right: 16px;
|
||||
border: 6px solid transparent;
|
||||
border-bottom-color: var(--tooltip-bg, #1a1a1a);
|
||||
}
|
||||
|
||||
.model-badge-wrapper:hover .model-tooltip {
|
||||
opacity: 1;
|
||||
visibility: visible;
|
||||
}
|
||||
|
||||
.model-tooltip-row {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
gap: 16px;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.model-tooltip-row:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.model-tooltip-label {
|
||||
opacity: 0.7;
|
||||
}
|
||||
|
||||
.model-tooltip-value {
|
||||
font-family: 'SF Mono', Monaco, monospace;
|
||||
}
|
||||
`;
|
||||
|
||||
static properties = {
|
||||
@@ -276,8 +134,6 @@ export class AppHeader extends LitElement {
|
||||
onHideToggleClick: { type: Function },
|
||||
isClickThrough: { type: Boolean, reflect: true },
|
||||
updateAvailable: { type: Boolean },
|
||||
aiProvider: { type: String },
|
||||
modelInfo: { type: Object },
|
||||
};
|
||||
|
||||
constructor() {
|
||||
@@ -294,8 +150,6 @@ export class AppHeader extends LitElement {
|
||||
this.isClickThrough = false;
|
||||
this.updateAvailable = false;
|
||||
this._timerInterval = null;
|
||||
this.aiProvider = 'gemini';
|
||||
this.modelInfo = { model: '', visionModel: '', whisperModel: '' };
|
||||
}
|
||||
|
||||
connectedCallback() {
|
||||
@@ -388,15 +242,15 @@ export class AppHeader extends LitElement {
|
||||
|
||||
getViewTitle() {
|
||||
const titles = {
|
||||
onboarding: 'Welcome to Cheating Daddy',
|
||||
main: 'Cheating Daddy',
|
||||
onboarding: 'Welcome to Mastermind',
|
||||
main: 'Mastermind',
|
||||
customize: 'Customize',
|
||||
help: 'Help & Shortcuts',
|
||||
history: 'Conversation History',
|
||||
advanced: 'Advanced Tools',
|
||||
assistant: 'Cheating Daddy',
|
||||
assistant: 'Mastermind',
|
||||
};
|
||||
return titles[this.currentView] || 'Cheating Daddy';
|
||||
return titles[this.currentView] || 'Mastermind';
|
||||
}
|
||||
|
||||
getElapsedTime() {
|
||||
@@ -417,49 +271,8 @@ export class AppHeader extends LitElement {
|
||||
return navigationViews.includes(this.currentView);
|
||||
}
|
||||
|
||||
getProviderDisplayName() {
|
||||
const names = {
|
||||
'gemini': 'Gemini',
|
||||
'openai-realtime': 'OpenAI Realtime',
|
||||
'openai-sdk': 'OpenAI SDK'
|
||||
};
|
||||
return names[this.aiProvider] || this.aiProvider;
|
||||
}
|
||||
|
||||
renderModelInfo() {
|
||||
// Only show model info for OpenAI SDK provider
|
||||
if (this.aiProvider !== 'openai-sdk' || !this.modelInfo) {
|
||||
return '';
|
||||
}
|
||||
|
||||
const { model, visionModel, whisperModel } = this.modelInfo;
|
||||
|
||||
// Show a compact badge with tooltip for model details
|
||||
return html`
|
||||
<div class="model-badge-wrapper">
|
||||
<span class="model-badge" title="Models">${model || 'gpt-4o'}</span>
|
||||
<div class="model-tooltip">
|
||||
<div class="model-tooltip-row">
|
||||
<span class="model-tooltip-label">Text</span>
|
||||
<span class="model-tooltip-value">${model || 'gpt-4o'}</span>
|
||||
</div>
|
||||
<div class="model-tooltip-row">
|
||||
<span class="model-tooltip-label">Vision</span>
|
||||
<span class="model-tooltip-value">${visionModel || 'gpt-4o'}</span>
|
||||
</div>
|
||||
<div class="model-tooltip-row">
|
||||
<span class="model-tooltip-label">Speech</span>
|
||||
<span class="model-tooltip-value">${whisperModel || 'whisper-1'}</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
|
||||
render() {
|
||||
const elapsedTime = this.getElapsedTime();
|
||||
const isError = this.statusText && (this.statusText.toLowerCase().includes('error') || this.statusText.toLowerCase().includes('failed'));
|
||||
const shortStatus = isError ? 'Error' : this.statusText;
|
||||
|
||||
return html`
|
||||
<div class="header">
|
||||
@@ -467,17 +280,8 @@ export class AppHeader extends LitElement {
|
||||
<div class="header-actions">
|
||||
${this.currentView === 'assistant'
|
||||
? html`
|
||||
${this.renderModelInfo()}
|
||||
<span>${elapsedTime}</span>
|
||||
<div class="status-wrapper">
|
||||
<span class="status-text ${isError ? 'error' : ''}">${shortStatus}</span>
|
||||
${isError ? html`
|
||||
<div class="status-tooltip">
|
||||
<div class="tooltip-label">Error Details</div>
|
||||
<div class="tooltip-content">${this.statusText}</div>
|
||||
</div>
|
||||
` : ''}
|
||||
</div>
|
||||
<span>${this.statusText}</span>
|
||||
${this.isClickThrough ? html`<span class="click-through-indicator">click-through</span>` : ''}
|
||||
`
|
||||
: ''}
|
||||
|
||||
+1093
-610
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,143 @@
|
||||
import { html, css, LitElement } from '../../assets/lit-core-2.7.4.min.js';
|
||||
import { unifiedPageStyles } from './sharedPageStyles.js';
|
||||
|
||||
export class AICustomizeView extends LitElement {
|
||||
static styles = [
|
||||
unifiedPageStyles,
|
||||
css`
|
||||
.unified-page {
|
||||
height: 100%;
|
||||
}
|
||||
.unified-wrap {
|
||||
height: 100%;
|
||||
}
|
||||
section.surface {
|
||||
flex: 1;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
}
|
||||
.form-grid {
|
||||
flex: 1;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
}
|
||||
.form-group.vertical {
|
||||
flex: 1;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
}
|
||||
textarea.control {
|
||||
flex: 1;
|
||||
resize: none;
|
||||
overflow-y: auto;
|
||||
min-height: 0;
|
||||
}
|
||||
`,
|
||||
];
|
||||
|
||||
static properties = {
|
||||
selectedProfile: { type: String },
|
||||
onProfileChange: { type: Function },
|
||||
_context: { state: true },
|
||||
_providerMode: { state: true },
|
||||
};
|
||||
|
||||
constructor() {
|
||||
super();
|
||||
this.selectedProfile = 'interview';
|
||||
this.onProfileChange = () => {};
|
||||
this._context = '';
|
||||
this._providerMode = 'byok';
|
||||
this._loadFromStorage();
|
||||
}
|
||||
|
||||
async _loadFromStorage() {
|
||||
try {
|
||||
const prefs = await cheatingDaddy.storage.getPreferences();
|
||||
this._context = prefs.customPrompt || '';
|
||||
this._providerMode = prefs.providerMode || 'byok';
|
||||
this.requestUpdate();
|
||||
} catch (error) {
|
||||
console.error('Error loading AI customize storage:', error);
|
||||
}
|
||||
}
|
||||
|
||||
_handleProfileChange(e) {
|
||||
this.onProfileChange(e.target.value);
|
||||
}
|
||||
|
||||
async _handleProviderModeChange(e) {
|
||||
this._providerMode = e.target.value;
|
||||
await cheatingDaddy.storage.updatePreference('providerMode', this._providerMode);
|
||||
this.requestUpdate();
|
||||
}
|
||||
|
||||
async _saveContext(val) {
|
||||
this._context = val;
|
||||
await cheatingDaddy.storage.updatePreference('customPrompt', val);
|
||||
}
|
||||
|
||||
_getProfileName(profile) {
|
||||
const names = {
|
||||
interview: 'Job Interview',
|
||||
sales: 'Sales Call',
|
||||
meeting: 'Business Meeting',
|
||||
presentation: 'Presentation',
|
||||
negotiation: 'Negotiation',
|
||||
exam: 'Exam Assistant',
|
||||
};
|
||||
return names[profile] || profile;
|
||||
}
|
||||
|
||||
render() {
|
||||
const profiles = [
|
||||
{ value: 'interview', label: 'Job Interview' },
|
||||
{ value: 'sales', label: 'Sales Call' },
|
||||
{ value: 'meeting', label: 'Business Meeting' },
|
||||
{ value: 'presentation', label: 'Presentation' },
|
||||
{ value: 'negotiation', label: 'Negotiation' },
|
||||
{ value: 'exam', label: 'Exam Assistant' },
|
||||
];
|
||||
|
||||
return html`
|
||||
<div class="unified-page">
|
||||
<div class="unified-wrap">
|
||||
<div>
|
||||
<div class="page-title">AI Context</div>
|
||||
</div>
|
||||
|
||||
<section class="surface">
|
||||
<div class="form-grid">
|
||||
<div class="form-group">
|
||||
<label class="form-label">Regime</label>
|
||||
<select class="control" .value=${this._providerMode} @change=${this._handleProviderModeChange}>
|
||||
<option value="byok">BYOK (API Keys)</option>
|
||||
<option value="local">Local AI (Ollama)</option>
|
||||
</select>
|
||||
</div>
|
||||
<div class="form-group">
|
||||
<label class="form-label">Profile</label>
|
||||
<select class="control" .value=${this.selectedProfile} @change=${this._handleProfileChange}>
|
||||
${profiles.map(profile => html`<option value=${profile.value}>${profile.label}</option>`)}
|
||||
</select>
|
||||
</div>
|
||||
<div class="form-group vertical">
|
||||
<label class="form-label">Custom Instructions</label>
|
||||
<textarea
|
||||
class="control"
|
||||
placeholder="Resume details, role requirements, constraints..."
|
||||
.value=${this._context}
|
||||
@input=${e => this._saveContext(e.target.value)}
|
||||
></textarea>
|
||||
<div class="form-help">Sent as context at session start. Keep it short.</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
}
|
||||
|
||||
customElements.define('ai-customize-view', AICustomizeView);
|
||||
File diff suppressed because it is too large
Load Diff
+852
-1671
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,237 @@
|
||||
import { html, css, LitElement } from '../../assets/lit-core-2.7.4.min.js';
|
||||
import { unifiedPageStyles } from './sharedPageStyles.js';
|
||||
|
||||
export class FeedbackView extends LitElement {
|
||||
static styles = [
|
||||
unifiedPageStyles,
|
||||
css`
|
||||
.feedback-form {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: var(--space-sm);
|
||||
}
|
||||
|
||||
.feedback-input {
|
||||
width: 100%;
|
||||
padding: var(--space-sm) var(--space-md);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-sm);
|
||||
background: var(--bg-elevated);
|
||||
color: var(--text-primary);
|
||||
font-size: var(--font-size-sm);
|
||||
font-family: var(--font);
|
||||
}
|
||||
|
||||
.feedback-input:focus {
|
||||
outline: none;
|
||||
border-color: var(--accent);
|
||||
}
|
||||
|
||||
.feedback-input::placeholder {
|
||||
color: var(--text-muted);
|
||||
}
|
||||
|
||||
textarea.feedback-input {
|
||||
min-height: 140px;
|
||||
resize: vertical;
|
||||
line-height: 1.45;
|
||||
}
|
||||
|
||||
input.feedback-input {
|
||||
max-width: 260px;
|
||||
}
|
||||
|
||||
.feedback-row {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--space-sm);
|
||||
}
|
||||
|
||||
.feedback-submit {
|
||||
padding: var(--space-sm) var(--space-md);
|
||||
border: none;
|
||||
border-radius: var(--radius-sm);
|
||||
background: var(--accent);
|
||||
color: var(--btn-primary-text, #fff);
|
||||
font-size: var(--font-size-sm);
|
||||
font-weight: var(--font-weight-medium);
|
||||
cursor: pointer;
|
||||
transition: opacity var(--transition);
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.feedback-submit:hover {
|
||||
opacity: 0.85;
|
||||
}
|
||||
|
||||
.feedback-submit:disabled {
|
||||
opacity: 0.5;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
|
||||
.feedback-status {
|
||||
font-size: var(--font-size-xs);
|
||||
color: var(--text-muted);
|
||||
}
|
||||
|
||||
.feedback-status.success {
|
||||
color: var(--success);
|
||||
}
|
||||
|
||||
.feedback-status.error {
|
||||
color: var(--danger);
|
||||
}
|
||||
|
||||
.attach-info {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--space-xs);
|
||||
font-size: var(--font-size-xs);
|
||||
color: var(--text-muted);
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
}
|
||||
|
||||
.attach-info input[type="checkbox"] {
|
||||
cursor: pointer;
|
||||
accent-color: var(--accent);
|
||||
}
|
||||
`,
|
||||
];
|
||||
|
||||
static properties = {
|
||||
_feedbackText: { state: true },
|
||||
_feedbackEmail: { state: true },
|
||||
_feedbackStatus: { state: true },
|
||||
_feedbackSending: { state: true },
|
||||
_attachInfo: { state: true },
|
||||
_version: { state: true },
|
||||
};
|
||||
|
||||
constructor() {
|
||||
super();
|
||||
this._feedbackText = '';
|
||||
this._feedbackEmail = '';
|
||||
this._feedbackStatus = '';
|
||||
this._feedbackSending = false;
|
||||
this._attachInfo = true;
|
||||
this._version = '';
|
||||
this._loadVersion();
|
||||
}
|
||||
|
||||
async _loadVersion() {
|
||||
try {
|
||||
this._version = await cheatingDaddy.getVersion();
|
||||
this.requestUpdate();
|
||||
} catch (e) {}
|
||||
}
|
||||
|
||||
_getOS() {
|
||||
const p = navigator.platform || '';
|
||||
if (p.includes('Mac')) return 'macOS';
|
||||
if (p.includes('Win')) return 'Windows';
|
||||
if (p.includes('Linux')) return 'Linux';
|
||||
return p;
|
||||
}
|
||||
|
||||
async _submitFeedback() {
|
||||
const text = this._feedbackText.trim();
|
||||
if (!text || this._feedbackSending) return;
|
||||
|
||||
let content = text;
|
||||
if (this._attachInfo) {
|
||||
content += `\n\nsent from ${this._getOS()} version ${this._version}`;
|
||||
}
|
||||
|
||||
if (content.length > 2000) {
|
||||
this._feedbackStatus = 'error:Max 2000 characters';
|
||||
this.requestUpdate();
|
||||
return;
|
||||
}
|
||||
|
||||
this._feedbackSending = true;
|
||||
this._feedbackStatus = '';
|
||||
this.requestUpdate();
|
||||
|
||||
try {
|
||||
const body = { feedback: content };
|
||||
if (this._feedbackEmail.trim()) {
|
||||
body.email = this._feedbackEmail.trim();
|
||||
}
|
||||
|
||||
const res = await fetch('https://api.cheatingdaddy.com/api/feedback', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify(body),
|
||||
});
|
||||
|
||||
if (res.ok) {
|
||||
this._feedbackText = '';
|
||||
this._feedbackEmail = '';
|
||||
this._feedbackStatus = 'success:Feedback sent, thank you!';
|
||||
} else if (res.status === 429) {
|
||||
this._feedbackStatus = 'error:Please wait a few minutes before sending again';
|
||||
} else {
|
||||
this._feedbackStatus = 'error:Failed to send feedback';
|
||||
}
|
||||
} catch (e) {
|
||||
this._feedbackStatus = 'error:Could not connect to server';
|
||||
}
|
||||
|
||||
this._feedbackSending = false;
|
||||
this.requestUpdate();
|
||||
}
|
||||
|
||||
render() {
|
||||
return html`
|
||||
<div class="unified-page">
|
||||
<div class="unified-wrap">
|
||||
<div class="page-title">Feedback</div>
|
||||
|
||||
<section class="surface">
|
||||
<div class="feedback-form">
|
||||
<textarea
|
||||
class="feedback-input"
|
||||
placeholder="Bug reports, feature requests, anything..."
|
||||
.value=${this._feedbackText}
|
||||
@input=${e => { this._feedbackText = e.target.value; }}
|
||||
maxlength="2000"
|
||||
></textarea>
|
||||
<input
|
||||
class="feedback-input"
|
||||
type="email"
|
||||
placeholder="Email (optional)"
|
||||
.value=${this._feedbackEmail}
|
||||
@input=${e => { this._feedbackEmail = e.target.value; }}
|
||||
/>
|
||||
<label class="attach-info">
|
||||
<input
|
||||
type="checkbox"
|
||||
.checked=${this._attachInfo}
|
||||
@change=${e => { this._attachInfo = e.target.checked; }}
|
||||
/>
|
||||
Attach OS and app version
|
||||
</label>
|
||||
<div class="feedback-row">
|
||||
<button
|
||||
class="feedback-submit"
|
||||
@click=${() => this._submitFeedback()}
|
||||
?disabled=${!this._feedbackText.trim() || this._feedbackSending}
|
||||
>
|
||||
${this._feedbackSending ? 'Sending...' : 'Send Feedback'}
|
||||
</button>
|
||||
${this._feedbackStatus ? html`
|
||||
<span class="feedback-status ${this._feedbackStatus.split(':')[0]}">
|
||||
${this._feedbackStatus.split(':').slice(1).join(':')}
|
||||
</span>
|
||||
` : ''}
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
}
|
||||
|
||||
customElements.define('feedback-view', FeedbackView);
|
||||
+113
-417
@@ -1,229 +1,95 @@
|
||||
import { html, css, LitElement } from '../../assets/lit-core-2.7.4.min.js';
|
||||
import { resizeLayout } from '../../utils/windowResize.js';
|
||||
import { unifiedPageStyles } from './sharedPageStyles.js';
|
||||
|
||||
export class HelpView extends LitElement {
|
||||
static styles = css`
|
||||
* {
|
||||
font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
|
||||
cursor: default;
|
||||
user-select: none;
|
||||
}
|
||||
static styles = [
|
||||
unifiedPageStyles,
|
||||
css`
|
||||
.shortcut-grid {
|
||||
display: grid;
|
||||
grid-template-columns: 1fr 1fr;
|
||||
gap: var(--space-sm);
|
||||
}
|
||||
|
||||
:host {
|
||||
display: block;
|
||||
padding: 0;
|
||||
}
|
||||
.shortcut-row {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
gap: var(--space-sm);
|
||||
padding: var(--space-sm);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-sm);
|
||||
background: var(--bg-elevated);
|
||||
}
|
||||
|
||||
.help-container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
}
|
||||
.shortcut-label {
|
||||
color: var(--text-secondary);
|
||||
font-size: var(--font-size-xs);
|
||||
}
|
||||
|
||||
.option-group {
|
||||
padding: 16px 12px;
|
||||
border-bottom: 1px solid var(--border-color);
|
||||
}
|
||||
.shortcut-keys {
|
||||
display: inline-flex;
|
||||
gap: 4px;
|
||||
flex-wrap: wrap;
|
||||
justify-content: flex-end;
|
||||
}
|
||||
|
||||
.option-group:last-child {
|
||||
border-bottom: none;
|
||||
}
|
||||
.key {
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-sm);
|
||||
padding: 2px 6px;
|
||||
font-size: var(--font-size-xs);
|
||||
color: var(--text-primary);
|
||||
background: var(--bg-surface);
|
||||
font-family: var(--font-mono);
|
||||
}
|
||||
|
||||
.option-label {
|
||||
font-size: 11px;
|
||||
font-weight: 600;
|
||||
color: var(--text-muted);
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.5px;
|
||||
margin-bottom: 12px;
|
||||
}
|
||||
.list {
|
||||
display: grid;
|
||||
gap: var(--space-sm);
|
||||
}
|
||||
|
||||
.description {
|
||||
color: var(--text-secondary);
|
||||
font-size: 12px;
|
||||
line-height: 1.4;
|
||||
user-select: text;
|
||||
cursor: text;
|
||||
}
|
||||
.list-item {
|
||||
padding: var(--space-sm);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-sm);
|
||||
color: var(--text-secondary);
|
||||
font-size: var(--font-size-sm);
|
||||
line-height: 1.45;
|
||||
background: var(--bg-elevated);
|
||||
}
|
||||
|
||||
.description strong {
|
||||
color: var(--text-color);
|
||||
font-weight: 500;
|
||||
}
|
||||
.link-row {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
gap: var(--space-sm);
|
||||
}
|
||||
|
||||
.link {
|
||||
color: var(--text-color);
|
||||
text-decoration: underline;
|
||||
text-underline-offset: 2px;
|
||||
cursor: pointer;
|
||||
}
|
||||
.link-button {
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-sm);
|
||||
padding: 8px 10px;
|
||||
background: var(--bg-elevated);
|
||||
color: var(--text-primary);
|
||||
font-size: var(--font-size-sm);
|
||||
cursor: pointer;
|
||||
transition: border-color var(--transition), color var(--transition), background var(--transition);
|
||||
}
|
||||
|
||||
.key {
|
||||
background: var(--bg-tertiary);
|
||||
color: var(--text-color);
|
||||
border: 1px solid var(--border-color);
|
||||
padding: 2px 6px;
|
||||
border-radius: 3px;
|
||||
font-size: 10px;
|
||||
font-family: 'SF Mono', Monaco, monospace;
|
||||
font-weight: 500;
|
||||
margin: 0 1px;
|
||||
white-space: nowrap;
|
||||
}
|
||||
.link-button:hover {
|
||||
color: var(--text-primary);
|
||||
border-color: var(--accent);
|
||||
background: rgba(63, 125, 229, 0.14);
|
||||
}
|
||||
|
||||
.keyboard-section {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));
|
||||
gap: 12px;
|
||||
margin-top: 8px;
|
||||
}
|
||||
@media (max-width: 820px) {
|
||||
.shortcut-grid {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
}
|
||||
|
||||
.keyboard-group {
|
||||
padding: 10px 0;
|
||||
border-bottom: 1px solid var(--border-color);
|
||||
}
|
||||
|
||||
.keyboard-group:last-child {
|
||||
border-bottom: none;
|
||||
}
|
||||
|
||||
.keyboard-group-title {
|
||||
font-weight: 600;
|
||||
font-size: 12px;
|
||||
color: var(--text-color);
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.shortcut-item {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
padding: 4px 0;
|
||||
font-size: 11px;
|
||||
}
|
||||
|
||||
.shortcut-description {
|
||||
color: var(--text-secondary);
|
||||
}
|
||||
|
||||
.shortcut-keys {
|
||||
display: flex;
|
||||
gap: 2px;
|
||||
}
|
||||
|
||||
.profiles-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
|
||||
gap: 8px;
|
||||
margin-top: 8px;
|
||||
}
|
||||
|
||||
.profile-item {
|
||||
padding: 8px 0;
|
||||
border-bottom: 1px solid var(--border-color);
|
||||
}
|
||||
|
||||
.profile-item:last-child {
|
||||
border-bottom: none;
|
||||
}
|
||||
|
||||
.profile-name {
|
||||
font-weight: 500;
|
||||
font-size: 12px;
|
||||
color: var(--text-color);
|
||||
margin-bottom: 2px;
|
||||
}
|
||||
|
||||
.profile-description {
|
||||
font-size: 11px;
|
||||
color: var(--text-muted);
|
||||
line-height: 1.3;
|
||||
}
|
||||
|
||||
.community-links {
|
||||
display: flex;
|
||||
gap: 8px;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
|
||||
.community-link {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
padding: 6px 10px;
|
||||
background: transparent;
|
||||
border: 1px solid var(--border-color);
|
||||
border-radius: 3px;
|
||||
color: var(--text-color);
|
||||
font-size: 11px;
|
||||
font-weight: 500;
|
||||
transition: background 0.1s ease;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.community-link:hover {
|
||||
background: var(--hover-background);
|
||||
}
|
||||
|
||||
.community-link svg {
|
||||
width: 14px;
|
||||
height: 14px;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.open-logs-btn {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
padding: 8px 14px;
|
||||
background: var(--bg-tertiary);
|
||||
border: 1px solid var(--border-color);
|
||||
border-radius: 4px;
|
||||
color: var(--text-color);
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
cursor: pointer;
|
||||
transition: background 0.15s ease;
|
||||
}
|
||||
|
||||
.open-logs-btn:hover {
|
||||
background: var(--hover-background);
|
||||
}
|
||||
|
||||
.usage-steps {
|
||||
counter-reset: step-counter;
|
||||
}
|
||||
|
||||
.usage-step {
|
||||
counter-increment: step-counter;
|
||||
position: relative;
|
||||
padding-left: 24px;
|
||||
margin-bottom: 8px;
|
||||
font-size: 11px;
|
||||
line-height: 1.4;
|
||||
color: var(--text-secondary);
|
||||
}
|
||||
|
||||
.usage-step::before {
|
||||
content: counter(step-counter);
|
||||
position: absolute;
|
||||
left: 0;
|
||||
top: 0;
|
||||
width: 16px;
|
||||
height: 16px;
|
||||
background: var(--bg-tertiary);
|
||||
color: var(--text-color);
|
||||
border-radius: 3px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
font-size: 10px;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.usage-step strong {
|
||||
color: var(--text-color);
|
||||
}
|
||||
`;
|
||||
`,
|
||||
];
|
||||
|
||||
static properties = {
|
||||
onExternalLinkClick: { type: Function },
|
||||
@@ -249,12 +115,6 @@ export class HelpView extends LitElement {
|
||||
}
|
||||
}
|
||||
|
||||
connectedCallback() {
|
||||
super.connectedCallback();
|
||||
// Resize window for this view
|
||||
resizeLayout();
|
||||
}
|
||||
|
||||
getDefaultKeybinds() {
|
||||
const isMac = cheatingDaddy.isMacOS || navigator.platform.includes('Mac');
|
||||
return {
|
||||
@@ -272,222 +132,58 @@ export class HelpView extends LitElement {
|
||||
};
|
||||
}
|
||||
|
||||
formatKeybind(keybind) {
|
||||
_formatKeybind(keybind) {
|
||||
return keybind.split('+').map(key => html`<span class="key">${key}</span>`);
|
||||
}
|
||||
|
||||
handleExternalLinkClick(url) {
|
||||
_open(url) {
|
||||
this.onExternalLinkClick(url);
|
||||
}
|
||||
|
||||
render() {
|
||||
const isMacOS = cheatingDaddy.isMacOS || false;
|
||||
const isLinux = cheatingDaddy.isLinux || false;
|
||||
const shortcutRows = [
|
||||
['Move Window Up', this.keybinds.moveUp],
|
||||
['Move Window Down', this.keybinds.moveDown],
|
||||
['Move Window Left', this.keybinds.moveLeft],
|
||||
['Move Window Right', this.keybinds.moveRight],
|
||||
['Toggle Visibility', this.keybinds.toggleVisibility],
|
||||
['Toggle Click-through', this.keybinds.toggleClickThrough],
|
||||
['Ask Next Step', this.keybinds.nextStep],
|
||||
['Previous Response', this.keybinds.previousResponse],
|
||||
['Next Response', this.keybinds.nextResponse],
|
||||
['Scroll Response Up', this.keybinds.scrollUp],
|
||||
['Scroll Response Down', this.keybinds.scrollDown],
|
||||
];
|
||||
|
||||
return html`
|
||||
<div class="help-container">
|
||||
<div class="option-group">
|
||||
<div class="option-label">
|
||||
<span>Community & Support</span>
|
||||
</div>
|
||||
<div class="community-links">
|
||||
<div class="community-link" @click=${() => this.handleExternalLinkClick('https://cheatingdaddy.com')}>
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M14 11.9976C14 9.5059 11.683 7 8.85714 7C8.52241 7 7.41904 7.00001 7.14286 7.00001C4.30254 7.00001 2 9.23752 2 11.9976C2 14.376 3.70973 16.3664 6 16.8714C6.36756 16.9525 6.75006 16.9952 7.14286 16.9952"></path>
|
||||
<path d="M10 11.9976C10 14.4893 12.317 16.9952 15.1429 16.9952C15.4776 16.9952 16.581 16.9952 16.8571 16.9952C19.6975 16.9952 22 14.7577 22 11.9976C22 9.6192 20.2903 7.62884 18 7.12383C17.6324 7.04278 17.2499 6.99999 16.8571 6.99999"></path>
|
||||
</svg>
|
||||
Website
|
||||
</div>
|
||||
<div class="community-link" @click=${() => this.handleExternalLinkClick('https://github.com/sohzm/cheating-daddy')}>
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M16 22.0268V19.1568C16.0375 18.68 15.9731 18.2006 15.811 17.7506C15.6489 17.3006 15.3929 16.8902 15.06 16.5468C18.2 16.1968 21.5 15.0068 21.5 9.54679C21.4997 8.15062 20.9627 6.80799 20 5.79679C20.4558 4.5753 20.4236 3.22514 19.91 2.02679C19.91 2.02679 18.73 1.67679 16 3.50679C13.708 2.88561 11.292 2.88561 8.99999 3.50679C6.26999 1.67679 5.08999 2.02679 5.08999 2.02679C4.57636 3.22514 4.54413 4.5753 4.99999 5.79679C4.03011 6.81549 3.49251 8.17026 3.49999 9.57679C3.49999 14.9968 6.79998 16.1868 9.93998 16.5768C9.61098 16.9168 9.35725 17.3222 9.19529 17.7667C9.03334 18.2112 8.96679 18.6849 8.99999 19.1568V22.0268"></path>
|
||||
<path d="M9 20.0267C6 20.9999 3.5 20.0267 2 17.0267"></path>
|
||||
</svg>
|
||||
GitHub
|
||||
</div>
|
||||
<div class="community-link" @click=${() => this.handleExternalLinkClick('https://discord.gg/GCBdubnXfJ')}>
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M5.5 16C10.5 18.5 13.5 18.5 18.5 16"></path>
|
||||
<path d="M15.5 17.5L16.5 19.5C16.5 19.5 20.6713 18.1717 22 16C22 15 22.5301 7.85339 19 5.5C17.5 4.5 15 4 15 4L14 6H12"></path>
|
||||
<path d="M8.52832 17.5L7.52832 19.5C7.52832 19.5 3.35699 18.1717 2.02832 16C2.02832 15 1.49823 7.85339 5.02832 5.5C6.52832 4.5 9.02832 4 9.02832 4L10.0283 6H12.0283"></path>
|
||||
<path d="M8.5 14C7.67157 14 7 13.1046 7 12C7 10.8954 7.67157 10 8.5 10C9.32843 10 10 10.8954 10 12C10 13.1046 9.32843 14 8.5 14Z"></path>
|
||||
<path d="M15.5 14C14.6716 14 14 13.1046 14 12C14 10.8954 14.6716 10 15.5 10C16.3284 10 17 10.8954 17 12C17 13.1046 16.3284 14 15.5 14Z"></path>
|
||||
</svg>
|
||||
Discord
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="unified-page">
|
||||
<div class="unified-wrap">
|
||||
<div class="page-title">Help</div>
|
||||
|
||||
<div class="option-group">
|
||||
<div class="option-label">
|
||||
<span>Keyboard Shortcuts</span>
|
||||
</div>
|
||||
<div class="keyboard-section">
|
||||
<div class="keyboard-group">
|
||||
<div class="keyboard-group-title">Window Movement</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Move window up</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.moveUp)}</div>
|
||||
</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Move window down</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.moveDown)}</div>
|
||||
</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Move window left</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.moveLeft)}</div>
|
||||
</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Move window right</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.moveRight)}</div>
|
||||
</div>
|
||||
<section class="surface">
|
||||
<div class="surface-title">Support</div>
|
||||
<div class="link-row">
|
||||
<button class="link-button" @click=${() => this._open('https://cheatingdaddy.com')}>Website</button>
|
||||
<button class="link-button" @click=${() => this._open('https://github.com/sohzm/cheating-daddy')}>GitHub</button>
|
||||
<button class="link-button" @click=${() => this._open('https://discord.gg/GCBdubnXfJ')}>Discord</button>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<div class="keyboard-group">
|
||||
<div class="keyboard-group-title">Window Control</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Toggle click-through mode</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.toggleClickThrough)}</div>
|
||||
</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Toggle window visibility</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.toggleVisibility)}</div>
|
||||
</div>
|
||||
<section class="surface">
|
||||
<div class="surface-title">Keyboard Shortcuts</div>
|
||||
<div class="shortcut-grid">
|
||||
${shortcutRows.map(([label, keys]) => html`
|
||||
<div class="shortcut-row">
|
||||
<span class="shortcut-label">${label}</span>
|
||||
<span class="shortcut-keys">${this._formatKeybind(keys)}</span>
|
||||
</div>
|
||||
`)}
|
||||
</div>
|
||||
|
||||
<div class="keyboard-group">
|
||||
<div class="keyboard-group-title">AI Actions</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Take screenshot and ask for next step</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.nextStep)}</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="keyboard-group">
|
||||
<div class="keyboard-group-title">Response Navigation</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Previous response</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.previousResponse)}</div>
|
||||
</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Next response</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.nextResponse)}</div>
|
||||
</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Scroll response up</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.scrollUp)}</div>
|
||||
</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Scroll response down</span>
|
||||
<div class="shortcut-keys">${this.formatKeybind(this.keybinds.scrollDown)}</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="keyboard-group">
|
||||
<div class="keyboard-group-title">Text Input</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">Send message to AI</span>
|
||||
<div class="shortcut-keys"><span class="key">Enter</span></div>
|
||||
</div>
|
||||
<div class="shortcut-item">
|
||||
<span class="shortcut-description">New line in text input</span>
|
||||
<div class="shortcut-keys"><span class="key">Shift</span><span class="key">Enter</span></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="description" style="margin-top: 12px; text-align: center;">
|
||||
You can customize these shortcuts in Settings.
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="option-group">
|
||||
<div class="option-label">
|
||||
<span>How to Use</span>
|
||||
</div>
|
||||
<div class="usage-steps">
|
||||
<div class="usage-step"><strong>Start a Session:</strong> Enter your Gemini API key and click "Start Session"</div>
|
||||
<div class="usage-step"><strong>Customize:</strong> Choose your profile and language in the settings</div>
|
||||
<div class="usage-step">
|
||||
<strong>Position Window:</strong> Use keyboard shortcuts to move the window to your desired location
|
||||
</div>
|
||||
<div class="usage-step">
|
||||
<strong>Click-through Mode:</strong> Use ${this.formatKeybind(this.keybinds.toggleClickThrough)} to make the window
|
||||
click-through
|
||||
</div>
|
||||
<div class="usage-step"><strong>Get AI Help:</strong> The AI will analyze your screen and audio to provide assistance</div>
|
||||
<div class="usage-step"><strong>Text Messages:</strong> Type questions or requests to the AI using the text input</div>
|
||||
<div class="usage-step">
|
||||
<strong>Navigate Responses:</strong> Use ${this.formatKeybind(this.keybinds.previousResponse)} and
|
||||
${this.formatKeybind(this.keybinds.nextResponse)} to browse through AI responses
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="option-group">
|
||||
<div class="option-label">
|
||||
<span>Supported Profiles</span>
|
||||
</div>
|
||||
<div class="profiles-grid">
|
||||
<div class="profile-item">
|
||||
<div class="profile-name">Job Interview</div>
|
||||
<div class="profile-description">Get help with interview questions and responses</div>
|
||||
</div>
|
||||
<div class="profile-item">
|
||||
<div class="profile-name">Sales Call</div>
|
||||
<div class="profile-description">Assistance with sales conversations and objection handling</div>
|
||||
</div>
|
||||
<div class="profile-item">
|
||||
<div class="profile-name">Business Meeting</div>
|
||||
<div class="profile-description">Support for professional meetings and discussions</div>
|
||||
</div>
|
||||
<div class="profile-item">
|
||||
<div class="profile-name">Presentation</div>
|
||||
<div class="profile-description">Help with presentations and public speaking</div>
|
||||
</div>
|
||||
<div class="profile-item">
|
||||
<div class="profile-name">Negotiation</div>
|
||||
<div class="profile-description">Guidance for business negotiations and deals</div>
|
||||
</div>
|
||||
<div class="profile-item">
|
||||
<div class="profile-name">Exam Assistant</div>
|
||||
<div class="profile-description">Academic assistance for test-taking and exam questions</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="option-group">
|
||||
<div class="option-label">
|
||||
<span>Audio Input</span>
|
||||
</div>
|
||||
<div class="description">The AI listens to conversations and provides contextual assistance based on what it hears.</div>
|
||||
</div>
|
||||
|
||||
<div class="option-group">
|
||||
<div class="option-label">
|
||||
<span>Troubleshooting</span>
|
||||
</div>
|
||||
<div class="description" style="margin-bottom: 12px;">
|
||||
If you're experiencing issues with audio capture or other features, check the application logs for diagnostic information.
|
||||
</div>
|
||||
<button class="open-logs-btn" @click=${this.openLogsFolder}>
|
||||
📁 Open Logs Folder
|
||||
</button>
|
||||
</section>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
|
||||
async openLogsFolder() {
|
||||
try {
|
||||
const { ipcRenderer } = require('electron');
|
||||
const result = await ipcRenderer.invoke('open-logs-folder');
|
||||
if (!result.success) {
|
||||
console.error('Failed to open logs folder:', result.error);
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Error opening logs folder:', err);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
customElements.define('help-view', HelpView);
|
||||
|
||||
+381
-519
File diff suppressed because it is too large
Load Diff
+1039
-171
File diff suppressed because it is too large
Load Diff
@@ -3,13 +3,7 @@ import { html, css, LitElement } from '../../assets/lit-core-2.7.4.min.js';
|
||||
export class OnboardingView extends LitElement {
|
||||
static styles = css`
|
||||
* {
|
||||
font-family:
|
||||
'Inter',
|
||||
-apple-system,
|
||||
BlinkMacSystemFont,
|
||||
'Segoe UI',
|
||||
Roboto,
|
||||
sans-serif;
|
||||
font-family: var(--font);
|
||||
cursor: default;
|
||||
user-select: none;
|
||||
margin: 0;
|
||||
@@ -27,44 +21,20 @@ export class OnboardingView extends LitElement {
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.onboarding-container {
|
||||
position: relative;
|
||||
.onboarding {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
background: #0a0a0a;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.close-button {
|
||||
position: absolute;
|
||||
top: 12px;
|
||||
right: 12px;
|
||||
z-index: 10;
|
||||
background: rgba(255, 255, 255, 0.08);
|
||||
border: 1px solid rgba(255, 255, 255, 0.1);
|
||||
border-radius: 6px;
|
||||
width: 32px;
|
||||
height: 32px;
|
||||
position: relative;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
color: rgba(255, 255, 255, 0.6);
|
||||
border-radius: 12px;
|
||||
border: 1px solid rgba(0, 0, 0, 0.08);
|
||||
overflow: hidden;
|
||||
background: #f0f0f0;
|
||||
}
|
||||
|
||||
.close-button:hover {
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border-color: rgba(255, 255, 255, 0.2);
|
||||
color: rgba(255, 255, 255, 0.9);
|
||||
}
|
||||
|
||||
.close-button svg {
|
||||
width: 16px;
|
||||
height: 16px;
|
||||
}
|
||||
|
||||
.gradient-canvas {
|
||||
canvas.aurora {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
@@ -73,166 +43,104 @@ export class OnboardingView extends LitElement {
|
||||
z-index: 0;
|
||||
}
|
||||
|
||||
.content-wrapper {
|
||||
canvas.dither {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
right: 0;
|
||||
bottom: 60px;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
z-index: 1;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
justify-content: center;
|
||||
padding: 32px 48px;
|
||||
max-width: 500px;
|
||||
color: #e5e5e5;
|
||||
overflow: hidden;
|
||||
opacity: 0.12;
|
||||
mix-blend-mode: overlay;
|
||||
pointer-events: none;
|
||||
image-rendering: pixelated;
|
||||
}
|
||||
|
||||
.slide-icon {
|
||||
width: 48px;
|
||||
height: 48px;
|
||||
margin-bottom: 16px;
|
||||
opacity: 0.9;
|
||||
display: block;
|
||||
.slide {
|
||||
position: relative;
|
||||
z-index: 2;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
text-align: center;
|
||||
max-width: 400px;
|
||||
padding: var(--space-xl);
|
||||
gap: var(--space-md);
|
||||
}
|
||||
|
||||
.slide-title {
|
||||
font-size: 28px;
|
||||
font-weight: 600;
|
||||
margin-bottom: 12px;
|
||||
color: #ffffff;
|
||||
line-height: 1.3;
|
||||
color: #111111;
|
||||
line-height: 1.2;
|
||||
}
|
||||
|
||||
.slide-content {
|
||||
font-size: 16px;
|
||||
.slide-text {
|
||||
font-size: 13px;
|
||||
line-height: 1.5;
|
||||
margin-bottom: 24px;
|
||||
color: #b8b8b8;
|
||||
font-weight: 400;
|
||||
color: #666666;
|
||||
}
|
||||
|
||||
.context-textarea {
|
||||
.context-input {
|
||||
width: 100%;
|
||||
height: 100px;
|
||||
padding: 16px;
|
||||
border: 1px solid rgba(255, 255, 255, 0.1);
|
||||
min-height: 120px;
|
||||
padding: 12px;
|
||||
border: 1px solid rgba(0, 0, 0, 0.12);
|
||||
border-radius: 8px;
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
color: #e5e5e5;
|
||||
font-size: 14px;
|
||||
font-family: inherit;
|
||||
background: rgba(255, 255, 255, 0.7);
|
||||
backdrop-filter: blur(8px);
|
||||
color: #111111;
|
||||
font-size: 13px;
|
||||
font-family: var(--font);
|
||||
line-height: 1.5;
|
||||
resize: vertical;
|
||||
transition: all 0.2s ease;
|
||||
margin-bottom: 24px;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.context-textarea::placeholder {
|
||||
color: rgba(255, 255, 255, 0.4);
|
||||
font-size: 14px;
|
||||
.context-input::placeholder {
|
||||
color: #999999;
|
||||
}
|
||||
|
||||
.context-textarea:focus {
|
||||
.context-input:focus {
|
||||
outline: none;
|
||||
border-color: rgba(255, 255, 255, 0.2);
|
||||
background: rgba(255, 255, 255, 0.08);
|
||||
border-color: rgba(0, 0, 0, 0.3);
|
||||
}
|
||||
|
||||
.feature-list {
|
||||
max-width: 100%;
|
||||
}
|
||||
|
||||
.feature-item {
|
||||
.actions {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
margin-bottom: 12px;
|
||||
font-size: 15px;
|
||||
color: #b8b8b8;
|
||||
gap: 8px;
|
||||
margin-top: 8px;
|
||||
}
|
||||
|
||||
.feature-icon {
|
||||
font-size: 16px;
|
||||
margin-right: 12px;
|
||||
opacity: 0.8;
|
||||
}
|
||||
|
||||
.navigation {
|
||||
position: absolute;
|
||||
bottom: 0;
|
||||
left: 0;
|
||||
right: 0;
|
||||
z-index: 2;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
padding: 16px 24px;
|
||||
background: rgba(0, 0, 0, 0.3);
|
||||
backdrop-filter: blur(10px);
|
||||
border-top: 1px solid rgba(255, 255, 255, 0.05);
|
||||
height: 60px;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
.nav-button {
|
||||
background: rgba(255, 255, 255, 0.08);
|
||||
border: 1px solid rgba(255, 255, 255, 0.1);
|
||||
color: #e5e5e5;
|
||||
padding: 8px 16px;
|
||||
border-radius: 6px;
|
||||
.btn-primary {
|
||||
background: #111111;
|
||||
border: none;
|
||||
color: #ffffff;
|
||||
padding: 10px 32px;
|
||||
border-radius: 8px;
|
||||
font-size: 13px;
|
||||
font-weight: 500;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
min-width: 36px;
|
||||
min-height: 36px;
|
||||
transition: opacity 0.15s;
|
||||
}
|
||||
|
||||
.nav-button:hover {
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
border-color: rgba(255, 255, 255, 0.2);
|
||||
.btn-primary:hover {
|
||||
opacity: 0.85;
|
||||
}
|
||||
|
||||
.nav-button:active {
|
||||
transform: scale(0.98);
|
||||
}
|
||||
|
||||
.nav-button:disabled {
|
||||
opacity: 0.4;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
|
||||
.nav-button:disabled:hover {
|
||||
background: rgba(255, 255, 255, 0.08);
|
||||
border-color: rgba(255, 255, 255, 0.1);
|
||||
transform: none;
|
||||
}
|
||||
|
||||
.progress-dots {
|
||||
display: flex;
|
||||
gap: 12px;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.dot {
|
||||
width: 8px;
|
||||
height: 8px;
|
||||
border-radius: 50%;
|
||||
background: rgba(255, 255, 255, 0.2);
|
||||
transition: all 0.2s ease;
|
||||
.btn-back {
|
||||
background: none;
|
||||
border: none;
|
||||
color: #888888;
|
||||
font-size: 11px;
|
||||
cursor: pointer;
|
||||
padding: 4px 8px;
|
||||
}
|
||||
|
||||
.dot:hover {
|
||||
background: rgba(255, 255, 255, 0.4);
|
||||
}
|
||||
|
||||
.dot.active {
|
||||
background: rgba(255, 255, 255, 0.8);
|
||||
transform: scale(1.2);
|
||||
.btn-back:hover {
|
||||
color: #555555;
|
||||
}
|
||||
`;
|
||||
|
||||
@@ -240,7 +148,6 @@ export class OnboardingView extends LitElement {
|
||||
currentSlide: { type: Number },
|
||||
contextText: { type: String },
|
||||
onComplete: { type: Function },
|
||||
onClose: { type: Function },
|
||||
};
|
||||
|
||||
constructor() {
|
||||
@@ -248,220 +155,151 @@ export class OnboardingView extends LitElement {
|
||||
this.currentSlide = 0;
|
||||
this.contextText = '';
|
||||
this.onComplete = () => {};
|
||||
this.onClose = () => {};
|
||||
this.canvas = null;
|
||||
this.ctx = null;
|
||||
this.animationId = null;
|
||||
|
||||
// Transition properties
|
||||
this.isTransitioning = false;
|
||||
this.transitionStartTime = 0;
|
||||
this.transitionDuration = 800; // 800ms fade duration
|
||||
this.previousColorScheme = null;
|
||||
|
||||
// Subtle dark color schemes for each slide
|
||||
this.colorSchemes = [
|
||||
// Slide 1 - Welcome (Very dark purple/gray)
|
||||
[
|
||||
[25, 25, 35], // Dark gray-purple
|
||||
[20, 20, 30], // Darker gray
|
||||
[30, 25, 40], // Slightly purple
|
||||
[15, 15, 25], // Very dark
|
||||
[35, 30, 45], // Muted purple
|
||||
[10, 10, 20], // Almost black
|
||||
],
|
||||
// Slide 2 - Privacy (Dark blue-gray)
|
||||
[
|
||||
[20, 25, 35], // Dark blue-gray
|
||||
[15, 20, 30], // Darker blue-gray
|
||||
[25, 30, 40], // Slightly blue
|
||||
[10, 15, 25], // Very dark blue
|
||||
[30, 35, 45], // Muted blue
|
||||
[5, 10, 20], // Almost black
|
||||
],
|
||||
// Slide 3 - Context (Dark neutral)
|
||||
[
|
||||
[25, 25, 25], // Neutral dark
|
||||
[20, 20, 20], // Darker neutral
|
||||
[30, 30, 30], // Light dark
|
||||
[15, 15, 15], // Very dark
|
||||
[35, 35, 35], // Lighter dark
|
||||
[10, 10, 10], // Almost black
|
||||
],
|
||||
// Slide 4 - Features (Dark green-gray)
|
||||
[
|
||||
[20, 30, 25], // Dark green-gray
|
||||
[15, 25, 20], // Darker green-gray
|
||||
[25, 35, 30], // Slightly green
|
||||
[10, 20, 15], // Very dark green
|
||||
[30, 40, 35], // Muted green
|
||||
[5, 15, 10], // Almost black
|
||||
],
|
||||
// Slide 5 - Complete (Dark warm gray)
|
||||
[
|
||||
[30, 25, 20], // Dark warm gray
|
||||
[25, 20, 15], // Darker warm
|
||||
[35, 30, 25], // Slightly warm
|
||||
[20, 15, 10], // Very dark warm
|
||||
[40, 35, 30], // Muted warm
|
||||
[15, 10, 5], // Almost black
|
||||
],
|
||||
];
|
||||
this._animId = null;
|
||||
this._time = 0;
|
||||
}
|
||||
|
||||
firstUpdated() {
|
||||
this.canvas = this.shadowRoot.querySelector('.gradient-canvas');
|
||||
this.ctx = this.canvas.getContext('2d');
|
||||
this.resizeCanvas();
|
||||
this.startGradientAnimation();
|
||||
|
||||
window.addEventListener('resize', () => this.resizeCanvas());
|
||||
this._startAurora();
|
||||
this._drawDither();
|
||||
}
|
||||
|
||||
disconnectedCallback() {
|
||||
super.disconnectedCallback();
|
||||
if (this.animationId) {
|
||||
cancelAnimationFrame(this.animationId);
|
||||
if (this._animId) cancelAnimationFrame(this._animId);
|
||||
}
|
||||
|
||||
_drawDither() {
|
||||
const canvas = this.shadowRoot.querySelector('canvas.dither');
|
||||
if (!canvas) return;
|
||||
const blockSize = 5;
|
||||
const cols = Math.ceil(canvas.offsetWidth / blockSize);
|
||||
const rows = Math.ceil(canvas.offsetHeight / blockSize);
|
||||
canvas.width = cols;
|
||||
canvas.height = rows;
|
||||
const ctx = canvas.getContext('2d');
|
||||
const img = ctx.createImageData(cols, rows);
|
||||
for (let i = 0; i < img.data.length; i += 4) {
|
||||
const v = Math.random() > 0.5 ? 255 : 0;
|
||||
img.data[i] = v;
|
||||
img.data[i + 1] = v;
|
||||
img.data[i + 2] = v;
|
||||
img.data[i + 3] = 255;
|
||||
}
|
||||
window.removeEventListener('resize', () => this.resizeCanvas());
|
||||
ctx.putImageData(img, 0, 0);
|
||||
}
|
||||
|
||||
resizeCanvas() {
|
||||
if (!this.canvas) return;
|
||||
_startAurora() {
|
||||
const canvas = this.shadowRoot.querySelector('canvas.aurora');
|
||||
if (!canvas) return;
|
||||
const ctx = canvas.getContext('2d');
|
||||
|
||||
const rect = this.getBoundingClientRect();
|
||||
this.canvas.width = rect.width;
|
||||
this.canvas.height = rect.height;
|
||||
}
|
||||
const scale = 0.35;
|
||||
const resize = () => {
|
||||
canvas.width = Math.floor(canvas.offsetWidth * scale);
|
||||
canvas.height = Math.floor(canvas.offsetHeight * scale);
|
||||
};
|
||||
resize();
|
||||
|
||||
startGradientAnimation() {
|
||||
if (!this.ctx) return;
|
||||
const blobs = [
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 1.0 },
|
||||
{ ox: 0.22, oy: 0.1, r: 0.85 },
|
||||
{ ox: 0.11, oy: 0.05, r: 0.5 },
|
||||
], color: [180, 200, 230], x: 0.15, y: 0.2, vx: 0.35, vy: 0.25, phase: 0 },
|
||||
|
||||
const animate = timestamp => {
|
||||
this.drawGradient(timestamp);
|
||||
this.animationId = requestAnimationFrame(animate);
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 0.95 },
|
||||
{ ox: 0.18, oy: -0.08, r: 0.75 },
|
||||
{ ox: 0.09, oy: -0.04, r: 0.4 },
|
||||
], color: [190, 180, 220], x: 0.75, y: 0.2, vx: -0.3, vy: 0.35, phase: 1.2 },
|
||||
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 0.9 },
|
||||
{ ox: 0.24, oy: 0.12, r: 0.9 },
|
||||
{ ox: 0.12, oy: 0.06, r: 0.35 },
|
||||
], color: [210, 195, 215], x: 0.5, y: 0.65, vx: 0.25, vy: -0.3, phase: 2.4 },
|
||||
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 0.8 },
|
||||
{ ox: -0.15, oy: 0.18, r: 0.7 },
|
||||
{ ox: -0.07, oy: 0.09, r: 0.45 },
|
||||
], color: [175, 210, 210], x: 0.1, y: 0.75, vx: 0.4, vy: 0.2, phase: 3.6 },
|
||||
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 0.75 },
|
||||
{ ox: 0.12, oy: -0.15, r: 0.65 },
|
||||
{ ox: 0.06, oy: -0.07, r: 0.35 },
|
||||
], color: [220, 210, 195], x: 0.85, y: 0.55, vx: -0.28, vy: -0.32, phase: 4.8 },
|
||||
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 0.95 },
|
||||
{ ox: -0.2, oy: -0.12, r: 0.75 },
|
||||
{ ox: -0.1, oy: -0.06, r: 0.4 },
|
||||
], color: [170, 190, 225], x: 0.6, y: 0.1, vx: -0.2, vy: 0.38, phase: 6.0 },
|
||||
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 0.85 },
|
||||
{ ox: 0.17, oy: 0.15, r: 0.75 },
|
||||
{ ox: 0.08, oy: 0.07, r: 0.35 },
|
||||
], color: [200, 190, 220], x: 0.35, y: 0.4, vx: 0.32, vy: -0.22, phase: 7.2 },
|
||||
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 0.75 },
|
||||
{ ox: -0.13, oy: 0.18, r: 0.65 },
|
||||
{ ox: -0.06, oy: 0.1, r: 0.4 },
|
||||
], color: [215, 205, 200], x: 0.9, y: 0.85, vx: -0.35, vy: -0.25, phase: 8.4 },
|
||||
|
||||
{ parts: [
|
||||
{ ox: 0, oy: 0, r: 0.7 },
|
||||
{ ox: 0.16, oy: -0.1, r: 0.6 },
|
||||
{ ox: 0.08, oy: -0.05, r: 0.35 },
|
||||
], color: [185, 210, 205], x: 0.45, y: 0.9, vx: 0.22, vy: -0.4, phase: 9.6 },
|
||||
];
|
||||
|
||||
const baseRadius = 0.32;
|
||||
|
||||
const draw = () => {
|
||||
this._time += 0.012;
|
||||
const w = canvas.width;
|
||||
const h = canvas.height;
|
||||
const dim = Math.min(w, h);
|
||||
|
||||
ctx.fillStyle = '#f0f0f0';
|
||||
ctx.fillRect(0, 0, w, h);
|
||||
|
||||
for (const blob of blobs) {
|
||||
const t = this._time;
|
||||
const cx = (blob.x + Math.sin(t * blob.vx + blob.phase) * 0.22) * w;
|
||||
const cy = (blob.y + Math.cos(t * blob.vy + blob.phase * 0.7) * 0.22) * h;
|
||||
|
||||
for (const part of blob.parts) {
|
||||
const wobble = Math.sin(t * 2.5 + part.ox * 25 + blob.phase) * 0.02;
|
||||
const px = cx + (part.ox + wobble) * dim;
|
||||
const py = cy + (part.oy + wobble * 0.7) * dim;
|
||||
const pr = part.r * baseRadius * dim;
|
||||
|
||||
const grad = ctx.createRadialGradient(px, py, 0, px, py, pr);
|
||||
grad.addColorStop(0, `rgba(${blob.color[0]}, ${blob.color[1]}, ${blob.color[2]}, 0.55)`);
|
||||
grad.addColorStop(0.4, `rgba(${blob.color[0]}, ${blob.color[1]}, ${blob.color[2]}, 0.3)`);
|
||||
grad.addColorStop(0.7, `rgba(${blob.color[0]}, ${blob.color[1]}, ${blob.color[2]}, 0.1)`);
|
||||
grad.addColorStop(1, `rgba(${blob.color[0]}, ${blob.color[1]}, ${blob.color[2]}, 0)`);
|
||||
|
||||
ctx.fillStyle = grad;
|
||||
ctx.fillRect(0, 0, w, h);
|
||||
}
|
||||
}
|
||||
|
||||
this._animId = requestAnimationFrame(draw);
|
||||
};
|
||||
|
||||
animate(0);
|
||||
}
|
||||
|
||||
drawGradient(timestamp) {
|
||||
if (!this.ctx || !this.canvas) return;
|
||||
|
||||
const { width, height } = this.canvas;
|
||||
let colors = this.colorSchemes[this.currentSlide];
|
||||
|
||||
// Handle color scheme transitions
|
||||
if (this.isTransitioning && this.previousColorScheme) {
|
||||
const elapsed = timestamp - this.transitionStartTime;
|
||||
const progress = Math.min(elapsed / this.transitionDuration, 1);
|
||||
|
||||
// Use easing function for smoother transition
|
||||
const easedProgress = this.easeInOutCubic(progress);
|
||||
|
||||
colors = this.interpolateColorSchemes(this.previousColorScheme, this.colorSchemes[this.currentSlide], easedProgress);
|
||||
|
||||
// End transition when complete
|
||||
if (progress >= 1) {
|
||||
this.isTransitioning = false;
|
||||
this.previousColorScheme = null;
|
||||
}
|
||||
}
|
||||
|
||||
const time = timestamp * 0.0005; // Much slower animation
|
||||
|
||||
// Create moving gradient with subtle flow
|
||||
const flowX = Math.sin(time * 0.7) * width * 0.3;
|
||||
const flowY = Math.cos(time * 0.5) * height * 0.2;
|
||||
|
||||
const gradient = this.ctx.createLinearGradient(flowX, flowY, width + flowX * 0.5, height + flowY * 0.5);
|
||||
|
||||
// Very subtle color variations with movement
|
||||
colors.forEach((color, index) => {
|
||||
const offset = index / (colors.length - 1);
|
||||
const wave = Math.sin(time + index * 0.3) * 0.05; // Very subtle wave
|
||||
|
||||
const r = Math.max(0, Math.min(255, color[0] + wave * 5));
|
||||
const g = Math.max(0, Math.min(255, color[1] + wave * 5));
|
||||
const b = Math.max(0, Math.min(255, color[2] + wave * 5));
|
||||
|
||||
gradient.addColorStop(offset, `rgb(${r}, ${g}, ${b})`);
|
||||
});
|
||||
|
||||
// Fill with moving gradient
|
||||
this.ctx.fillStyle = gradient;
|
||||
this.ctx.fillRect(0, 0, width, height);
|
||||
|
||||
// Add a second layer with radial gradient for more depth
|
||||
const centerX = width * 0.5 + Math.sin(time * 0.3) * width * 0.15;
|
||||
const centerY = height * 0.5 + Math.cos(time * 0.4) * height * 0.1;
|
||||
const radius = Math.max(width, height) * 0.8;
|
||||
|
||||
const radialGradient = this.ctx.createRadialGradient(centerX, centerY, 0, centerX, centerY, radius);
|
||||
|
||||
// Very subtle radial overlay
|
||||
radialGradient.addColorStop(0, `rgba(${colors[0][0] + 10}, ${colors[0][1] + 10}, ${colors[0][2] + 10}, 0.1)`);
|
||||
radialGradient.addColorStop(0.5, `rgba(${colors[2][0]}, ${colors[2][1]}, ${colors[2][2]}, 0.05)`);
|
||||
radialGradient.addColorStop(
|
||||
1,
|
||||
`rgba(${colors[colors.length - 1][0]}, ${colors[colors.length - 1][1]}, ${colors[colors.length - 1][2]}, 0.03)`
|
||||
);
|
||||
|
||||
this.ctx.globalCompositeOperation = 'overlay';
|
||||
this.ctx.fillStyle = radialGradient;
|
||||
this.ctx.fillRect(0, 0, width, height);
|
||||
this.ctx.globalCompositeOperation = 'source-over';
|
||||
}
|
||||
|
||||
nextSlide() {
|
||||
if (this.currentSlide < 4) {
|
||||
this.startColorTransition(this.currentSlide + 1);
|
||||
} else {
|
||||
this.completeOnboarding();
|
||||
}
|
||||
}
|
||||
|
||||
prevSlide() {
|
||||
if (this.currentSlide > 0) {
|
||||
this.startColorTransition(this.currentSlide - 1);
|
||||
}
|
||||
}
|
||||
|
||||
startColorTransition(newSlide) {
|
||||
this.previousColorScheme = [...this.colorSchemes[this.currentSlide]];
|
||||
this.currentSlide = newSlide;
|
||||
this.isTransitioning = true;
|
||||
this.transitionStartTime = performance.now();
|
||||
}
|
||||
|
||||
// Interpolate between two color schemes
|
||||
interpolateColorSchemes(scheme1, scheme2, progress) {
|
||||
return scheme1.map((color1, index) => {
|
||||
const color2 = scheme2[index];
|
||||
return [
|
||||
color1[0] + (color2[0] - color1[0]) * progress,
|
||||
color1[1] + (color2[1] - color1[1]) * progress,
|
||||
color1[2] + (color2[2] - color1[2]) * progress,
|
||||
];
|
||||
});
|
||||
}
|
||||
|
||||
// Easing function for smooth transitions
|
||||
easeInOutCubic(t) {
|
||||
return t < 0.5 ? 4 * t * t * t : 1 - Math.pow(-2 * t + 2, 3) / 2;
|
||||
draw();
|
||||
}
|
||||
|
||||
handleContextInput(e) {
|
||||
this.contextText = e.target.value;
|
||||
}
|
||||
|
||||
async handleClose() {
|
||||
if (window.require) {
|
||||
const { ipcRenderer } = window.require('electron');
|
||||
await ipcRenderer.invoke('quit-application');
|
||||
}
|
||||
}
|
||||
|
||||
async completeOnboarding() {
|
||||
if (this.contextText.trim()) {
|
||||
await cheatingDaddy.storage.updatePreference('customPrompt', this.contextText.trim());
|
||||
@@ -470,120 +308,43 @@ export class OnboardingView extends LitElement {
|
||||
this.onComplete();
|
||||
}
|
||||
|
||||
getSlideContent() {
|
||||
const slides = [
|
||||
{
|
||||
icon: 'assets/onboarding/welcome.svg',
|
||||
title: 'Welcome to Cheating Daddy',
|
||||
content:
|
||||
'Your AI assistant that listens and watches, then provides intelligent suggestions automatically during interviews and meetings.',
|
||||
},
|
||||
{
|
||||
icon: 'assets/onboarding/security.svg',
|
||||
title: 'Completely Private',
|
||||
content: 'Invisible to screen sharing apps and recording software. Your secret advantage stays completely hidden from others.',
|
||||
},
|
||||
{
|
||||
icon: 'assets/onboarding/context.svg',
|
||||
title: 'Add Your Context',
|
||||
content: 'Share relevant information to help the AI provide better, more personalized assistance.',
|
||||
showTextarea: true,
|
||||
},
|
||||
{
|
||||
icon: 'assets/onboarding/customize.svg',
|
||||
title: 'Additional Features',
|
||||
content: '',
|
||||
showFeatures: true,
|
||||
},
|
||||
{
|
||||
icon: 'assets/onboarding/ready.svg',
|
||||
title: 'Ready to Go',
|
||||
content: 'Add your Gemini API key in settings and start getting AI-powered assistance in real-time.',
|
||||
},
|
||||
];
|
||||
renderSlide() {
|
||||
if (this.currentSlide === 0) {
|
||||
return html`
|
||||
<div class="slide">
|
||||
<div class="slide-title">Mastermind</div>
|
||||
<div class="slide-text">Real-time AI that listens, watches, and helps during interviews, meetings, and exams.</div>
|
||||
<div class="actions">
|
||||
<button class="btn-primary" @click=${() => { this.currentSlide = 1; }}>Continue</button>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
|
||||
return slides[this.currentSlide];
|
||||
return html`
|
||||
<div class="slide">
|
||||
<div class="slide-title">Add context</div>
|
||||
<div class="slide-text">Paste your resume or any info the AI should know. You can skip this and add it later.</div>
|
||||
<textarea
|
||||
class="context-input"
|
||||
placeholder="Resume, job description, notes..."
|
||||
.value=${this.contextText}
|
||||
@input=${this.handleContextInput}
|
||||
></textarea>
|
||||
<div class="actions">
|
||||
<button class="btn-primary" @click=${this.completeOnboarding}>Get Started</button>
|
||||
<button class="btn-back" @click=${() => { this.currentSlide = 0; }}>Back</button>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
|
||||
render() {
|
||||
const slide = this.getSlideContent();
|
||||
|
||||
return html`
|
||||
<div class="onboarding-container">
|
||||
<button class="close-button" @click=${this.handleClose} title="Close">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="currentColor">
|
||||
<path d="M6.28 5.22a.75.75 0 0 0-1.06 1.06L8.94 10l-3.72 3.72a.75.75 0 1 0 1.06 1.06L10 11.06l3.72 3.72a.75.75 0 1 0 1.06-1.06L11.06 10l3.72-3.72a.75.75 0 0 0-1.06-1.06L10 8.94 6.28 5.22Z" />
|
||||
</svg>
|
||||
</button>
|
||||
<canvas class="gradient-canvas"></canvas>
|
||||
|
||||
<div class="content-wrapper">
|
||||
<img class="slide-icon" src="${slide.icon}" alt="${slide.title} icon" />
|
||||
<div class="slide-title">${slide.title}</div>
|
||||
<div class="slide-content">${slide.content}</div>
|
||||
|
||||
${slide.showTextarea
|
||||
? html`
|
||||
<textarea
|
||||
class="context-textarea"
|
||||
placeholder="Paste your resume, job description, or any relevant context here..."
|
||||
.value=${this.contextText}
|
||||
@input=${this.handleContextInput}
|
||||
></textarea>
|
||||
`
|
||||
: ''}
|
||||
${slide.showFeatures
|
||||
? html`
|
||||
<div class="feature-list">
|
||||
<div class="feature-item">
|
||||
<span class="feature-icon">-</span>
|
||||
Customize AI behavior and responses
|
||||
</div>
|
||||
<div class="feature-item">
|
||||
<span class="feature-icon">-</span>
|
||||
Review conversation history
|
||||
</div>
|
||||
<div class="feature-item">
|
||||
<span class="feature-icon">-</span>
|
||||
Adjust capture settings and intervals
|
||||
</div>
|
||||
</div>
|
||||
`
|
||||
: ''}
|
||||
</div>
|
||||
|
||||
<div class="navigation">
|
||||
<button class="nav-button" @click=${this.prevSlide} ?disabled=${this.currentSlide === 0}>
|
||||
<svg width="16px" height="16px" stroke-width="2" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M15 6L9 12L15 18" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path>
|
||||
</svg>
|
||||
</button>
|
||||
|
||||
<div class="progress-dots">
|
||||
${[0, 1, 2, 3, 4].map(
|
||||
index => html`
|
||||
<div
|
||||
class="dot ${index === this.currentSlide ? 'active' : ''}"
|
||||
@click=${() => {
|
||||
if (index !== this.currentSlide) {
|
||||
this.startColorTransition(index);
|
||||
}
|
||||
}}
|
||||
></div>
|
||||
`
|
||||
)}
|
||||
</div>
|
||||
|
||||
<button class="nav-button" @click=${this.nextSlide}>
|
||||
${this.currentSlide === 4
|
||||
? 'Get Started'
|
||||
: html`
|
||||
<svg width="16px" height="16px" stroke-width="2" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M9 6L15 12L9 18" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round"></path>
|
||||
</svg>
|
||||
`}
|
||||
</button>
|
||||
</div>
|
||||
<div class="onboarding">
|
||||
<canvas class="aurora"></canvas>
|
||||
<canvas class="dither"></canvas>
|
||||
${this.renderSlide()}
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
|
||||
@@ -1,175 +0,0 @@
|
||||
import { html, css, LitElement } from '../../assets/lit-core-2.7.4.min.js';
|
||||
|
||||
export class ScreenPickerDialog extends LitElement {
|
||||
static properties = {
|
||||
sources: { type: Array },
|
||||
visible: { type: Boolean },
|
||||
};
|
||||
|
||||
static styles = css`
|
||||
:host {
|
||||
display: none;
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
right: 0;
|
||||
bottom: 0;
|
||||
background: rgba(0, 0, 0, 0.8);
|
||||
z-index: 10000;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
:host([visible]) {
|
||||
display: flex;
|
||||
}
|
||||
|
||||
.dialog {
|
||||
background: var(--background-color);
|
||||
border: 1px solid var(--border-color);
|
||||
border-radius: 8px;
|
||||
padding: 24px;
|
||||
max-width: 800px;
|
||||
max-height: 80vh;
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
h2 {
|
||||
margin: 0 0 16px 0;
|
||||
color: var(--text-color);
|
||||
font-size: 18px;
|
||||
font-weight: 500;
|
||||
}
|
||||
|
||||
.sources-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
|
||||
gap: 12px;
|
||||
margin-bottom: 16px;
|
||||
}
|
||||
|
||||
.source-item {
|
||||
background: var(--input-background);
|
||||
border: 2px solid transparent;
|
||||
border-radius: 6px;
|
||||
padding: 12px;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
}
|
||||
|
||||
.source-item:hover {
|
||||
border-color: var(--border-default);
|
||||
background: var(--button-hover);
|
||||
}
|
||||
|
||||
.source-item.selected {
|
||||
border-color: var(--accent-color);
|
||||
background: var(--button-hover);
|
||||
}
|
||||
|
||||
.source-thumbnail {
|
||||
width: 100%;
|
||||
height: 120px;
|
||||
object-fit: contain;
|
||||
background: #1a1a1a;
|
||||
border-radius: 4px;
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.source-name {
|
||||
color: var(--text-color);
|
||||
font-size: 13px;
|
||||
text-align: center;
|
||||
word-break: break-word;
|
||||
}
|
||||
|
||||
.buttons {
|
||||
display: flex;
|
||||
gap: 8px;
|
||||
justify-content: flex-end;
|
||||
}
|
||||
|
||||
button {
|
||||
background: var(--button-background);
|
||||
color: var(--text-color);
|
||||
border: 1px solid var(--border-color);
|
||||
padding: 8px 16px;
|
||||
border-radius: 3px;
|
||||
cursor: pointer;
|
||||
font-size: 13px;
|
||||
transition: background-color 0.1s ease;
|
||||
}
|
||||
|
||||
button:hover {
|
||||
background: var(--button-hover);
|
||||
}
|
||||
|
||||
button.primary {
|
||||
background: var(--accent-color);
|
||||
color: white;
|
||||
border-color: var(--accent-color);
|
||||
}
|
||||
|
||||
button.primary:hover {
|
||||
background: var(--accent-hover);
|
||||
}
|
||||
|
||||
button:disabled {
|
||||
opacity: 0.5;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
`;
|
||||
|
||||
constructor() {
|
||||
super();
|
||||
this.sources = [];
|
||||
this.visible = false;
|
||||
this.selectedSource = null;
|
||||
}
|
||||
|
||||
selectSource(source) {
|
||||
this.selectedSource = source;
|
||||
this.requestUpdate();
|
||||
}
|
||||
|
||||
confirm() {
|
||||
if (this.selectedSource) {
|
||||
this.dispatchEvent(
|
||||
new CustomEvent('source-selected', {
|
||||
detail: { source: this.selectedSource },
|
||||
})
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
cancel() {
|
||||
this.dispatchEvent(new CustomEvent('cancelled'));
|
||||
}
|
||||
|
||||
render() {
|
||||
return html`
|
||||
<div class="dialog">
|
||||
<h2>Choose screen or window to share</h2>
|
||||
<div class="sources-grid">
|
||||
${this.sources.map(
|
||||
source => html`
|
||||
<div
|
||||
class="source-item ${this.selectedSource?.id === source.id ? 'selected' : ''}"
|
||||
@click=${() => this.selectSource(source)}
|
||||
>
|
||||
<img class="source-thumbnail" src="${source.thumbnail}" alt="${source.name}" />
|
||||
<div class="source-name">${source.name}</div>
|
||||
</div>
|
||||
`
|
||||
)}
|
||||
</div>
|
||||
<div class="buttons">
|
||||
<button @click=${this.cancel}>Cancel</button>
|
||||
<button class="primary" @click=${this.confirm} ?disabled=${!this.selectedSource}>Share</button>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
}
|
||||
|
||||
customElements.define('screen-picker-dialog', ScreenPickerDialog);
|
||||
@@ -0,0 +1,172 @@
|
||||
import { css } from '../../assets/lit-core-2.7.4.min.js';
|
||||
|
||||
export const unifiedPageStyles = css`
|
||||
* {
|
||||
box-sizing: border-box;
|
||||
font-family: var(--font);
|
||||
cursor: default;
|
||||
user-select: none;
|
||||
}
|
||||
|
||||
:host {
|
||||
display: block;
|
||||
height: 100%;
|
||||
}
|
||||
|
||||
.unified-page {
|
||||
height: 100%;
|
||||
overflow-y: auto;
|
||||
padding: var(--space-lg);
|
||||
background: var(--bg-app);
|
||||
}
|
||||
|
||||
.unified-wrap {
|
||||
width: 100%;
|
||||
max-width: 1160px;
|
||||
margin: 0 auto;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: var(--space-md);
|
||||
min-height: 100%;
|
||||
}
|
||||
|
||||
.page-title {
|
||||
font-size: var(--font-size-xl);
|
||||
font-weight: var(--font-weight-semibold);
|
||||
color: var(--text-primary);
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.page-subtitle {
|
||||
color: var(--text-muted);
|
||||
font-size: var(--font-size-sm);
|
||||
}
|
||||
|
||||
.surface {
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-md);
|
||||
background: var(--bg-surface);
|
||||
padding: var(--space-md);
|
||||
}
|
||||
|
||||
.surface-title {
|
||||
color: var(--text-primary);
|
||||
font-size: var(--font-size-md);
|
||||
font-weight: var(--font-weight-semibold);
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.surface-subtitle {
|
||||
color: var(--text-muted);
|
||||
font-size: var(--font-size-xs);
|
||||
margin-bottom: var(--space-md);
|
||||
}
|
||||
|
||||
.form-grid {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: var(--space-sm);
|
||||
}
|
||||
|
||||
.form-row {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: var(--space-sm);
|
||||
}
|
||||
|
||||
.form-group {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
gap: var(--space-md);
|
||||
}
|
||||
|
||||
.form-group.vertical {
|
||||
flex-direction: column;
|
||||
align-items: stretch;
|
||||
}
|
||||
|
||||
.form-label {
|
||||
color: var(--text-secondary);
|
||||
font-size: var(--font-size-sm);
|
||||
white-space: nowrap;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.form-help {
|
||||
color: var(--text-muted);
|
||||
font-size: var(--font-size-xs);
|
||||
line-height: 1.4;
|
||||
}
|
||||
|
||||
.control {
|
||||
width: 200px;
|
||||
background: var(--bg-elevated);
|
||||
color: var(--text-primary);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-sm);
|
||||
padding: 8px 12px;
|
||||
font-size: var(--font-size-sm);
|
||||
transition: border-color var(--transition), box-shadow var(--transition);
|
||||
}
|
||||
|
||||
.control:hover:not(:focus) {
|
||||
border-color: var(--border-strong);
|
||||
}
|
||||
|
||||
.control:focus {
|
||||
outline: none;
|
||||
border-color: var(--accent);
|
||||
box-shadow: 0 0 0 1px var(--accent);
|
||||
}
|
||||
|
||||
select.control {
|
||||
appearance: none;
|
||||
background-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 20 20'%3e%3cpath stroke='%236b6b6b' stroke-linecap='round' stroke-linejoin='round' stroke-width='1.5' d='M6 8l4 4 4-4'/%3e%3c/svg%3e");
|
||||
background-position: right 8px center;
|
||||
background-repeat: no-repeat;
|
||||
background-size: 12px;
|
||||
padding-right: 28px;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
textarea.control {
|
||||
width: 100%;
|
||||
min-height: 100px;
|
||||
resize: vertical;
|
||||
line-height: 1.45;
|
||||
}
|
||||
|
||||
.chip {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
border-radius: var(--radius-sm);
|
||||
background: var(--bg-elevated);
|
||||
color: var(--text-secondary);
|
||||
padding: 2px 8px;
|
||||
font-size: var(--font-size-xs);
|
||||
font-family: var(--font-mono);
|
||||
}
|
||||
|
||||
.pill {
|
||||
border: 1px solid var(--border);
|
||||
border-radius: 999px;
|
||||
padding: 2px 8px;
|
||||
font-size: var(--font-size-xs);
|
||||
color: var(--text-muted);
|
||||
}
|
||||
|
||||
.muted {
|
||||
color: var(--text-muted);
|
||||
}
|
||||
|
||||
.danger {
|
||||
color: var(--danger);
|
||||
}
|
||||
|
||||
@media (max-width: 640px) {
|
||||
.unified-page {
|
||||
padding: var(--space-md);
|
||||
}
|
||||
}
|
||||
`;
|
||||
+141
-87
@@ -5,75 +5,112 @@
|
||||
<title>Screen and Audio Capture</title>
|
||||
<style>
|
||||
:root {
|
||||
/* Backgrounds - with default 0.8 transparency */
|
||||
--background-transparent: transparent;
|
||||
--bg-primary: rgba(30, 30, 30, 0.8);
|
||||
--bg-secondary: rgba(37, 37, 38, 0.8);
|
||||
--bg-tertiary: rgba(45, 45, 45, 0.8);
|
||||
--bg-hover: rgba(50, 50, 50, 0.8);
|
||||
/* Backgrounds */
|
||||
--bg-app: #0A0A0A;
|
||||
--bg-surface: #111111;
|
||||
--bg-elevated: #191919;
|
||||
--bg-hover: #1F1F1F;
|
||||
|
||||
/* Text */
|
||||
--text-color: #e5e5e5;
|
||||
--text-secondary: #a0a0a0;
|
||||
--text-muted: #6b6b6b;
|
||||
--description-color: #a0a0a0;
|
||||
--placeholder-color: #6b6b6b;
|
||||
--text-primary: #F5F5F5;
|
||||
--text-secondary: #999999;
|
||||
--text-muted: #555555;
|
||||
|
||||
/* Borders */
|
||||
--border-color: #3c3c3c;
|
||||
--border-subtle: #3c3c3c;
|
||||
--border-default: #4a4a4a;
|
||||
/* Borders & Lines */
|
||||
--border: #222222;
|
||||
--border-strong: #333333;
|
||||
|
||||
/* Component backgrounds - with default 0.8 transparency */
|
||||
--header-background: rgba(30, 30, 30, 0.8);
|
||||
--header-actions-color: #a0a0a0;
|
||||
--main-content-background: rgba(30, 30, 30, 0.8);
|
||||
/* Accent */
|
||||
--accent: #3B82F6;
|
||||
--accent-hover: #2563EB;
|
||||
|
||||
/* Status */
|
||||
--success: #22C55E;
|
||||
--warning: #D4A017;
|
||||
--danger: #EF4444;
|
||||
|
||||
/* Typography */
|
||||
--font: 'Inter', -apple-system, BlinkMacSystemFont, system-ui, sans-serif;
|
||||
--font-mono: 'SF Mono', 'Menlo', 'Monaco', 'Consolas', monospace;
|
||||
--font-size-xs: 11px;
|
||||
--font-size-sm: 13px;
|
||||
--font-size-base: 14px;
|
||||
--font-size-lg: 16px;
|
||||
--font-size-xl: 20px;
|
||||
--font-size-2xl: 28px;
|
||||
--font-weight-normal: 400;
|
||||
--font-weight-medium: 500;
|
||||
--font-weight-semibold: 600;
|
||||
--line-height: 1.6;
|
||||
|
||||
/* Spacing */
|
||||
--space-xs: 4px;
|
||||
--space-sm: 8px;
|
||||
--space-md: 16px;
|
||||
--space-lg: 24px;
|
||||
--space-xl: 40px;
|
||||
--space-2xl: 64px;
|
||||
|
||||
/* Radius */
|
||||
--radius-sm: 4px;
|
||||
--radius-md: 8px;
|
||||
--radius-lg: 12px;
|
||||
|
||||
/* Transitions */
|
||||
--transition: 150ms ease;
|
||||
|
||||
/* Sidebar */
|
||||
--sidebar-width: 220px;
|
||||
--sidebar-width-collapsed: 60px;
|
||||
|
||||
/* Legacy compatibility — mapped to new tokens */
|
||||
--background-transparent: transparent;
|
||||
--bg-primary: var(--bg-app);
|
||||
--bg-secondary: var(--bg-surface);
|
||||
--bg-tertiary: var(--bg-elevated);
|
||||
--text-color: var(--text-primary);
|
||||
--description-color: var(--text-secondary);
|
||||
--placeholder-color: var(--text-muted);
|
||||
--border-color: var(--border);
|
||||
--border-subtle: var(--border);
|
||||
--border-default: var(--border-strong);
|
||||
--header-background: var(--bg-surface);
|
||||
--header-actions-color: var(--text-secondary);
|
||||
--main-content-background: var(--bg-app);
|
||||
--button-background: transparent;
|
||||
--button-border: #3c3c3c;
|
||||
--icon-button-color: #a0a0a0;
|
||||
--hover-background: rgba(50, 50, 50, 0.8);
|
||||
--input-background: rgba(45, 45, 45, 0.8);
|
||||
--input-focus-background: rgba(45, 45, 45, 0.8);
|
||||
|
||||
/* Focus states - neutral */
|
||||
--focus-border-color: #4a4a4a;
|
||||
--button-border: var(--border-strong);
|
||||
--icon-button-color: var(--text-secondary);
|
||||
--hover-background: var(--bg-hover);
|
||||
--input-background: var(--bg-elevated);
|
||||
--input-focus-background: var(--bg-elevated);
|
||||
--focus-border-color: var(--accent);
|
||||
--focus-box-shadow: transparent;
|
||||
--scrollbar-track: var(--bg-app);
|
||||
--scrollbar-thumb: var(--border-strong);
|
||||
--scrollbar-thumb-hover: #444444;
|
||||
--scrollbar-background: var(--bg-app);
|
||||
--start-button-background: var(--accent);
|
||||
--start-button-color: #ffffff;
|
||||
--start-button-border: var(--accent);
|
||||
--start-button-hover-background: var(--accent-hover);
|
||||
--start-button-hover-border: var(--accent-hover);
|
||||
--text-input-button-background: var(--accent);
|
||||
--text-input-button-hover: var(--accent-hover);
|
||||
--link-color: var(--accent);
|
||||
--key-background: var(--bg-elevated);
|
||||
--success-color: var(--success);
|
||||
--warning-color: var(--warning);
|
||||
--error-color: var(--danger);
|
||||
--danger-color: var(--danger);
|
||||
--preview-video-background: var(--bg-surface);
|
||||
--preview-video-border: var(--border);
|
||||
--option-label-color: var(--text-primary);
|
||||
--screen-option-background: var(--bg-surface);
|
||||
--screen-option-hover-background: var(--bg-elevated);
|
||||
--screen-option-selected-background: var(--bg-hover);
|
||||
--screen-option-text: var(--text-secondary);
|
||||
|
||||
/* Scrollbar */
|
||||
--scrollbar-track: #1e1e1e;
|
||||
--scrollbar-thumb: #3c3c3c;
|
||||
--scrollbar-thumb-hover: #4a4a4a;
|
||||
--scrollbar-background: #1e1e1e;
|
||||
|
||||
/* Legacy/misc */
|
||||
--preview-video-background: #1e1e1e;
|
||||
--preview-video-border: #3c3c3c;
|
||||
--option-label-color: #e5e5e5;
|
||||
--screen-option-background: #252526;
|
||||
--screen-option-hover-background: #2d2d2d;
|
||||
--screen-option-selected-background: #323232;
|
||||
--screen-option-text: #a0a0a0;
|
||||
|
||||
/* Buttons */
|
||||
--start-button-background: #ffffff;
|
||||
--start-button-color: #1e1e1e;
|
||||
--start-button-border: #ffffff;
|
||||
--start-button-hover-background: #e0e0e0;
|
||||
--start-button-hover-border: #e0e0e0;
|
||||
--text-input-button-background: #ffffff;
|
||||
--text-input-button-hover: #e0e0e0;
|
||||
|
||||
/* Links - neutral */
|
||||
--link-color: #e5e5e5;
|
||||
--key-background: #2d2d2d;
|
||||
|
||||
/* Status colors */
|
||||
--success-color: #4ec9b0;
|
||||
--warning-color: #dcdcaa;
|
||||
--error-color: #f14c4c;
|
||||
--danger-color: #f14c4c;
|
||||
|
||||
/* Layout-specific variables */
|
||||
/* Layout-specific */
|
||||
--header-padding: 8px 16px;
|
||||
--header-font-size: 14px;
|
||||
--header-gap: 8px;
|
||||
@@ -81,48 +118,65 @@
|
||||
--header-icon-padding: 6px;
|
||||
--header-font-size-small: 12px;
|
||||
--main-content-padding: 16px;
|
||||
--main-content-margin-top: 1px;
|
||||
--main-content-margin-top: 0;
|
||||
--icon-size: 18px;
|
||||
--border-radius: 3px;
|
||||
--border-radius: var(--radius-sm);
|
||||
--content-border-radius: 0;
|
||||
}
|
||||
|
||||
/* Compact layout styles */
|
||||
:root.compact-layout {
|
||||
--header-padding: 6px 12px;
|
||||
--header-font-size: 12px;
|
||||
--header-gap: 6px;
|
||||
--header-button-padding: 4px 8px;
|
||||
--header-icon-padding: 4px;
|
||||
--header-font-size-small: 10px;
|
||||
--main-content-padding: 12px;
|
||||
--main-content-margin-top: 1px;
|
||||
--icon-size: 16px;
|
||||
--border-radius: 3px;
|
||||
--content-border-radius: 0;
|
||||
html {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
height: 100%;
|
||||
overflow: hidden;
|
||||
border-radius: 12px;
|
||||
background: transparent;
|
||||
}
|
||||
|
||||
html,
|
||||
body {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
height: 100%;
|
||||
overflow: hidden;
|
||||
background: transparent;
|
||||
}
|
||||
|
||||
body {
|
||||
font-family:
|
||||
'Inter',
|
||||
-apple-system,
|
||||
BlinkMacSystemFont,
|
||||
sans-serif;
|
||||
background: var(--bg-app);
|
||||
color: var(--text-primary);
|
||||
line-height: var(--line-height);
|
||||
border-radius: 12px;
|
||||
border: 1px solid var(--border);
|
||||
font-family: var(--font);
|
||||
font-size: var(--font-size-base);
|
||||
font-weight: var(--font-weight-normal);
|
||||
-webkit-font-smoothing: antialiased;
|
||||
-moz-osx-font-smoothing: grayscale;
|
||||
}
|
||||
|
||||
* {
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
:focus-visible {
|
||||
outline: 2px solid var(--accent);
|
||||
outline-offset: 2px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar {
|
||||
width: 6px;
|
||||
height: 6px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-track {
|
||||
background: transparent;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-thumb {
|
||||
background: var(--border-strong);
|
||||
border-radius: 3px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-thumb:hover {
|
||||
background: #444444;
|
||||
}
|
||||
|
||||
cheating-daddy-app {
|
||||
display: block;
|
||||
width: 100%;
|
||||
|
||||
+14
-65
@@ -4,54 +4,35 @@ if (require('electron-squirrel-startup')) {
|
||||
|
||||
const { app, BrowserWindow, shell, ipcMain } = require('electron');
|
||||
const { createWindow, updateGlobalShortcuts } = require('./utils/window');
|
||||
const { setupAIProviderIpcHandlers } = require('./utils/ai-provider-manager');
|
||||
const { stopMacOSAudioCapture } = require('./utils/gemini');
|
||||
const { initLogger, closeLogger, getLogPath } = require('./utils/logger');
|
||||
const { setupGeminiIpcHandlers, stopMacOSAudioCapture, sendToRenderer } = require('./utils/gemini');
|
||||
const storage = require('./storage');
|
||||
|
||||
const geminiSessionRef = { current: null };
|
||||
let mainWindow = null;
|
||||
|
||||
function sendToRenderer(channel, data) {
|
||||
const windows = BrowserWindow.getAllWindows();
|
||||
if (windows.length > 0) {
|
||||
windows[0].webContents.send(channel, data);
|
||||
}
|
||||
}
|
||||
|
||||
function createMainWindow() {
|
||||
mainWindow = createWindow(sendToRenderer, geminiSessionRef);
|
||||
return mainWindow;
|
||||
}
|
||||
|
||||
app.whenReady().then(async () => {
|
||||
// Initialize file logger first
|
||||
const logPath = initLogger();
|
||||
console.log('App starting, log file:', logPath);
|
||||
|
||||
// Initialize storage (checks version, resets if needed)
|
||||
storage.initializeStorage();
|
||||
|
||||
// Trigger screen recording permission prompt on macOS if not already granted
|
||||
if (process.platform === 'darwin') {
|
||||
const { desktopCapturer } = require('electron');
|
||||
desktopCapturer.getSources({ types: ['screen'] }).catch(() => {});
|
||||
}
|
||||
|
||||
createMainWindow();
|
||||
setupAIProviderIpcHandlers(geminiSessionRef);
|
||||
setupGeminiIpcHandlers(geminiSessionRef);
|
||||
setupStorageIpcHandlers();
|
||||
setupGeneralIpcHandlers();
|
||||
|
||||
// Add handler to get log path from renderer
|
||||
ipcMain.handle('get-log-path', () => getLogPath());
|
||||
|
||||
// Add handler for renderer logs (so they go to the log file)
|
||||
ipcMain.on('renderer-log', (event, { level, message }) => {
|
||||
const prefix = '[RENDERER]';
|
||||
if (level === 'error') console.error(prefix, message);
|
||||
else if (level === 'warn') console.warn(prefix, message);
|
||||
else console.log(prefix, message);
|
||||
});
|
||||
});
|
||||
|
||||
app.on('window-all-closed', () => {
|
||||
stopMacOSAudioCapture();
|
||||
closeLogger();
|
||||
if (process.platform !== 'darwin') {
|
||||
app.quit();
|
||||
}
|
||||
@@ -59,7 +40,6 @@ app.on('window-all-closed', () => {
|
||||
|
||||
app.on('before-quit', () => {
|
||||
stopMacOSAudioCapture();
|
||||
closeLogger();
|
||||
});
|
||||
|
||||
app.on('activate', () => {
|
||||
@@ -138,40 +118,21 @@ function setupStorageIpcHandlers() {
|
||||
}
|
||||
});
|
||||
|
||||
ipcMain.handle('storage:get-openai-credentials', async () => {
|
||||
ipcMain.handle('storage:get-groq-api-key', async () => {
|
||||
try {
|
||||
return { success: true, data: storage.getOpenAICredentials() };
|
||||
return { success: true, data: storage.getGroqApiKey() };
|
||||
} catch (error) {
|
||||
console.error('Error getting OpenAI credentials:', error);
|
||||
console.error('Error getting Groq API key:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
ipcMain.handle('storage:set-openai-credentials', async (event, config) => {
|
||||
ipcMain.handle('storage:set-groq-api-key', async (event, groqApiKey) => {
|
||||
try {
|
||||
storage.setOpenAICredentials(config);
|
||||
storage.setGroqApiKey(groqApiKey);
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error setting OpenAI credentials:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
ipcMain.handle('storage:get-openai-sdk-credentials', async () => {
|
||||
try {
|
||||
return { success: true, data: storage.getOpenAISDKCredentials() };
|
||||
} catch (error) {
|
||||
console.error('Error getting OpenAI SDK credentials:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
ipcMain.handle('storage:set-openai-sdk-credentials', async (event, config) => {
|
||||
try {
|
||||
storage.setOpenAISDKCredentials(config);
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error setting OpenAI SDK credentials:', error);
|
||||
console.error('Error setting Groq API key:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
@@ -302,18 +263,6 @@ function setupGeneralIpcHandlers() {
|
||||
return app.getVersion();
|
||||
});
|
||||
|
||||
ipcMain.handle('open-logs-folder', async () => {
|
||||
try {
|
||||
const logPath = getLogPath();
|
||||
const logsDir = require('path').dirname(logPath);
|
||||
await shell.openPath(logsDir);
|
||||
return { success: true, path: logsDir };
|
||||
} catch (error) {
|
||||
console.error('Error opening logs folder:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
ipcMain.handle('quit-application', async event => {
|
||||
try {
|
||||
stopMacOSAudioCapture();
|
||||
|
||||
+94
-48
@@ -13,16 +13,10 @@ const DEFAULT_CONFIG = {
|
||||
|
||||
const DEFAULT_CREDENTIALS = {
|
||||
apiKey: '',
|
||||
// OpenAI Realtime API settings
|
||||
openaiApiKey: '',
|
||||
openaiBaseUrl: '',
|
||||
openaiModel: 'gpt-4o-realtime-preview-2024-12-17',
|
||||
// OpenAI SDK settings (for BotHub and other providers)
|
||||
openaiSdkApiKey: '',
|
||||
openaiSdkBaseUrl: '',
|
||||
openaiSdkModel: 'gpt-4o',
|
||||
openaiSdkVisionModel: 'gpt-4o',
|
||||
openaiSdkWhisperModel: 'whisper-1'
|
||||
groqApiKey: '',
|
||||
openaiCompatibleApiKey: '',
|
||||
openaiCompatibleBaseUrl: '',
|
||||
openaiCompatibleModel: ''
|
||||
};
|
||||
|
||||
const DEFAULT_PREFERENCES = {
|
||||
@@ -36,13 +30,16 @@ const DEFAULT_PREFERENCES = {
|
||||
fontSize: 'medium',
|
||||
backgroundTransparency: 0.8,
|
||||
googleSearchEnabled: false,
|
||||
aiProvider: 'gemini'
|
||||
responseProvider: 'gemini',
|
||||
ollamaHost: 'http://127.0.0.1:11434',
|
||||
ollamaModel: 'llama3.1',
|
||||
whisperModel: 'Xenova/whisper-small',
|
||||
};
|
||||
|
||||
const DEFAULT_KEYBINDS = null; // null means use system defaults
|
||||
|
||||
const DEFAULT_LIMITS = {
|
||||
data: [] // Array of { date: 'YYYY-MM-DD', flash: { count: 0 }, flashLite: { count: 0 } }
|
||||
data: [] // Array of { date: 'YYYY-MM-DD', flash: { count }, flashLite: { count }, groq: { 'qwen3-32b': { chars, limit }, 'gpt-oss-120b': { chars, limit }, 'gpt-oss-20b': { chars, limit } }, gemini: { 'gemma-3-27b-it': { chars } } }
|
||||
};
|
||||
|
||||
// Get the config directory path based on OS
|
||||
@@ -203,42 +200,29 @@ function setApiKey(apiKey) {
|
||||
return setCredentials({ apiKey });
|
||||
}
|
||||
|
||||
function getOpenAICredentials() {
|
||||
function getGroqApiKey() {
|
||||
return getCredentials().groqApiKey || '';
|
||||
}
|
||||
|
||||
function setGroqApiKey(groqApiKey) {
|
||||
return setCredentials({ groqApiKey });
|
||||
}
|
||||
|
||||
function getOpenAICompatibleConfig() {
|
||||
const creds = getCredentials();
|
||||
return {
|
||||
apiKey: creds.openaiApiKey || '',
|
||||
baseUrl: creds.openaiBaseUrl || '',
|
||||
model: creds.openaiModel || 'gpt-4o-realtime-preview-2024-12-17'
|
||||
apiKey: creds.openaiCompatibleApiKey || '',
|
||||
baseUrl: creds.openaiCompatibleBaseUrl || '',
|
||||
model: creds.openaiCompatibleModel || ''
|
||||
};
|
||||
}
|
||||
|
||||
function setOpenAICredentials(config) {
|
||||
const updates = {};
|
||||
if (config.apiKey !== undefined) updates.openaiApiKey = config.apiKey;
|
||||
if (config.baseUrl !== undefined) updates.openaiBaseUrl = config.baseUrl;
|
||||
if (config.model !== undefined) updates.openaiModel = config.model;
|
||||
return setCredentials(updates);
|
||||
}
|
||||
|
||||
function getOpenAISDKCredentials() {
|
||||
const creds = getCredentials();
|
||||
return {
|
||||
apiKey: creds.openaiSdkApiKey || '',
|
||||
baseUrl: creds.openaiSdkBaseUrl || '',
|
||||
model: creds.openaiSdkModel || 'gpt-4o',
|
||||
visionModel: creds.openaiSdkVisionModel || 'gpt-4o',
|
||||
whisperModel: creds.openaiSdkWhisperModel || 'whisper-1'
|
||||
};
|
||||
}
|
||||
|
||||
function setOpenAISDKCredentials(config) {
|
||||
const updates = {};
|
||||
if (config.apiKey !== undefined) updates.openaiSdkApiKey = config.apiKey;
|
||||
if (config.baseUrl !== undefined) updates.openaiSdkBaseUrl = config.baseUrl;
|
||||
if (config.model !== undefined) updates.openaiSdkModel = config.model;
|
||||
if (config.visionModel !== undefined) updates.openaiSdkVisionModel = config.visionModel;
|
||||
if (config.whisperModel !== undefined) updates.openaiSdkWhisperModel = config.whisperModel;
|
||||
return setCredentials(updates);
|
||||
function setOpenAICompatibleConfig(apiKey, baseUrl, model) {
|
||||
return setCredentials({
|
||||
openaiCompatibleApiKey: apiKey,
|
||||
openaiCompatibleBaseUrl: baseUrl,
|
||||
openaiCompatibleModel: model
|
||||
});
|
||||
}
|
||||
|
||||
// ============ PREFERENCES ============
|
||||
@@ -293,6 +277,21 @@ function getTodayLimits() {
|
||||
const todayEntry = limits.data.find(entry => entry.date === today);
|
||||
|
||||
if (todayEntry) {
|
||||
// ensure new fields exist
|
||||
if(!todayEntry.groq) {
|
||||
todayEntry.groq = {
|
||||
'qwen3-32b': { chars: 0, limit: 1500000 },
|
||||
'gpt-oss-120b': { chars: 0, limit: 600000 },
|
||||
'gpt-oss-20b': { chars: 0, limit: 600000 },
|
||||
'kimi-k2-instruct': { chars: 0, limit: 600000 }
|
||||
};
|
||||
}
|
||||
if(!todayEntry.gemini) {
|
||||
todayEntry.gemini = {
|
||||
'gemma-3-27b-it': { chars: 0 }
|
||||
};
|
||||
}
|
||||
setLimits(limits);
|
||||
return todayEntry;
|
||||
}
|
||||
|
||||
@@ -301,7 +300,16 @@ function getTodayLimits() {
|
||||
const newEntry = {
|
||||
date: today,
|
||||
flash: { count: 0 },
|
||||
flashLite: { count: 0 }
|
||||
flashLite: { count: 0 },
|
||||
groq: {
|
||||
'qwen3-32b': { chars: 0, limit: 1500000 },
|
||||
'gpt-oss-120b': { chars: 0, limit: 600000 },
|
||||
'gpt-oss-20b': { chars: 0, limit: 600000 },
|
||||
'kimi-k2-instruct': { chars: 0, limit: 600000 }
|
||||
},
|
||||
gemini: {
|
||||
'gemma-3-27b-it': { chars: 0 }
|
||||
}
|
||||
};
|
||||
limits.data.push(newEntry);
|
||||
setLimits(limits);
|
||||
@@ -341,6 +349,21 @@ function incrementLimitCount(model) {
|
||||
return todayEntry;
|
||||
}
|
||||
|
||||
function incrementCharUsage(provider, model, charCount) {
|
||||
getTodayLimits();
|
||||
|
||||
const limits = getLimits();
|
||||
const today = getTodayDateString();
|
||||
const todayEntry = limits.data.find(entry => entry.date === today);
|
||||
|
||||
if(todayEntry[provider] && todayEntry[provider][model]) {
|
||||
todayEntry[provider][model].chars += charCount;
|
||||
setLimits(limits);
|
||||
}
|
||||
|
||||
return todayEntry;
|
||||
}
|
||||
|
||||
function getAvailableModel() {
|
||||
const todayLimits = getTodayLimits();
|
||||
|
||||
@@ -355,6 +378,27 @@ function getAvailableModel() {
|
||||
return 'gemini-2.5-flash'; // Default to flash for paid API users
|
||||
}
|
||||
|
||||
function getModelForToday() {
|
||||
const todayEntry = getTodayLimits();
|
||||
const groq = todayEntry.groq;
|
||||
|
||||
if (groq['qwen3-32b'].chars < groq['qwen3-32b'].limit) {
|
||||
return 'qwen/qwen3-32b';
|
||||
}
|
||||
if (groq['gpt-oss-120b'].chars < groq['gpt-oss-120b'].limit) {
|
||||
return 'openai/gpt-oss-120b';
|
||||
}
|
||||
if (groq['gpt-oss-20b'].chars < groq['gpt-oss-20b'].limit) {
|
||||
return 'openai/gpt-oss-20b';
|
||||
}
|
||||
if (groq['kimi-k2-instruct'].chars < groq['kimi-k2-instruct'].limit) {
|
||||
return 'moonshotai/kimi-k2-instruct';
|
||||
}
|
||||
|
||||
// All limits exhausted
|
||||
return null;
|
||||
}
|
||||
|
||||
// ============ HISTORY ============
|
||||
|
||||
function getSessionPath(sessionId) {
|
||||
@@ -475,10 +519,10 @@ module.exports = {
|
||||
setCredentials,
|
||||
getApiKey,
|
||||
setApiKey,
|
||||
getOpenAICredentials,
|
||||
setOpenAICredentials,
|
||||
getOpenAISDKCredentials,
|
||||
setOpenAISDKCredentials,
|
||||
getGroqApiKey,
|
||||
setGroqApiKey,
|
||||
getOpenAICompatibleConfig,
|
||||
setOpenAICompatibleConfig,
|
||||
|
||||
// Preferences
|
||||
getPreferences,
|
||||
@@ -495,6 +539,8 @@ module.exports = {
|
||||
getTodayLimits,
|
||||
incrementLimitCount,
|
||||
getAvailableModel,
|
||||
incrementCharUsage,
|
||||
getModelForToday,
|
||||
|
||||
// History
|
||||
saveSession,
|
||||
|
||||
@@ -1,453 +0,0 @@
|
||||
const { BrowserWindow, ipcMain } = require('electron');
|
||||
const { getSystemPrompt } = require('./prompts');
|
||||
const { getAvailableModel, incrementLimitCount, getApiKey, getOpenAICredentials, getOpenAISDKCredentials, getPreferences } = require('../storage');
|
||||
|
||||
// Import provider implementations
|
||||
const geminiProvider = require('./gemini');
|
||||
const openaiRealtimeProvider = require('./openai-realtime');
|
||||
const openaiSdkProvider = require('./openai-sdk');
|
||||
|
||||
// Conversation tracking (shared across providers)
|
||||
let currentSessionId = null;
|
||||
let conversationHistory = [];
|
||||
let screenAnalysisHistory = [];
|
||||
let currentProfile = null;
|
||||
let currentCustomPrompt = null;
|
||||
let currentProvider = 'gemini'; // 'gemini', 'openai-realtime', or 'openai-sdk'
|
||||
let providerConfig = {};
|
||||
|
||||
function sendToRenderer(channel, data) {
|
||||
const windows = BrowserWindow.getAllWindows();
|
||||
if (windows.length > 0) {
|
||||
windows[0].webContents.send(channel, data);
|
||||
}
|
||||
}
|
||||
|
||||
function initializeNewSession(profile = null, customPrompt = null) {
|
||||
currentSessionId = Date.now().toString();
|
||||
conversationHistory = [];
|
||||
screenAnalysisHistory = [];
|
||||
currentProfile = profile;
|
||||
currentCustomPrompt = customPrompt;
|
||||
console.log('New conversation session started:', currentSessionId, 'profile:', profile, 'provider:', currentProvider);
|
||||
|
||||
if (profile) {
|
||||
sendToRenderer('save-session-context', {
|
||||
sessionId: currentSessionId,
|
||||
profile: profile,
|
||||
customPrompt: customPrompt || '',
|
||||
provider: currentProvider,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
function saveConversationTurn(transcription, aiResponse) {
|
||||
if (!currentSessionId) {
|
||||
initializeNewSession();
|
||||
}
|
||||
|
||||
const conversationTurn = {
|
||||
timestamp: Date.now(),
|
||||
transcription: transcription.trim(),
|
||||
ai_response: aiResponse.trim(),
|
||||
};
|
||||
|
||||
conversationHistory.push(conversationTurn);
|
||||
console.log('Saved conversation turn:', conversationTurn);
|
||||
|
||||
sendToRenderer('save-conversation-turn', {
|
||||
sessionId: currentSessionId,
|
||||
turn: conversationTurn,
|
||||
fullHistory: conversationHistory,
|
||||
});
|
||||
}
|
||||
|
||||
function saveScreenAnalysis(prompt, response, model) {
|
||||
if (!currentSessionId) {
|
||||
initializeNewSession();
|
||||
}
|
||||
|
||||
const analysisEntry = {
|
||||
timestamp: Date.now(),
|
||||
prompt: prompt,
|
||||
response: response.trim(),
|
||||
model: model,
|
||||
provider: currentProvider,
|
||||
};
|
||||
|
||||
screenAnalysisHistory.push(analysisEntry);
|
||||
console.log('Saved screen analysis:', analysisEntry);
|
||||
|
||||
sendToRenderer('save-screen-analysis', {
|
||||
sessionId: currentSessionId,
|
||||
analysis: analysisEntry,
|
||||
fullHistory: screenAnalysisHistory,
|
||||
profile: currentProfile,
|
||||
customPrompt: currentCustomPrompt,
|
||||
});
|
||||
}
|
||||
|
||||
function getCurrentSessionData() {
|
||||
return {
|
||||
sessionId: currentSessionId,
|
||||
history: conversationHistory,
|
||||
provider: currentProvider,
|
||||
};
|
||||
}
|
||||
|
||||
// Get provider configuration from storage
|
||||
async function getStoredSetting(key, defaultValue) {
|
||||
try {
|
||||
const windows = BrowserWindow.getAllWindows();
|
||||
if (windows.length > 0) {
|
||||
await new Promise(resolve => setTimeout(resolve, 100));
|
||||
|
||||
const value = await windows[0].webContents.executeJavaScript(`
|
||||
(function() {
|
||||
try {
|
||||
if (typeof localStorage === 'undefined') {
|
||||
return '${defaultValue}';
|
||||
}
|
||||
const stored = localStorage.getItem('${key}');
|
||||
return stored || '${defaultValue}';
|
||||
} catch (e) {
|
||||
return '${defaultValue}';
|
||||
}
|
||||
})()
|
||||
`);
|
||||
return value;
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error getting stored setting for', key, ':', error.message);
|
||||
}
|
||||
return defaultValue;
|
||||
}
|
||||
|
||||
// Initialize AI session based on selected provider
|
||||
async function initializeAISession(customPrompt = '', profile = 'interview', language = 'en-US') {
|
||||
// Read provider from file-based storage (preferences.json)
|
||||
const prefs = getPreferences();
|
||||
const provider = prefs.aiProvider || 'gemini';
|
||||
currentProvider = provider;
|
||||
|
||||
console.log('Initializing AI session with provider:', provider);
|
||||
|
||||
// Check if Google Search is enabled for system prompt
|
||||
const googleSearchEnabled = prefs.googleSearchEnabled ?? true;
|
||||
const systemPrompt = getSystemPrompt(profile, customPrompt, googleSearchEnabled);
|
||||
|
||||
if (provider === 'openai-realtime') {
|
||||
// Get OpenAI Realtime configuration
|
||||
const creds = getOpenAICredentials();
|
||||
|
||||
if (!creds.apiKey) {
|
||||
sendToRenderer('update-status', 'OpenAI API key not configured');
|
||||
return false;
|
||||
}
|
||||
|
||||
providerConfig = {
|
||||
apiKey: creds.apiKey,
|
||||
baseUrl: creds.baseUrl || null,
|
||||
model: creds.model,
|
||||
systemPrompt,
|
||||
language,
|
||||
isReconnect: false,
|
||||
};
|
||||
|
||||
initializeNewSession(profile, customPrompt);
|
||||
|
||||
try {
|
||||
await openaiRealtimeProvider.initializeOpenAISession(providerConfig, conversationHistory);
|
||||
return true;
|
||||
} catch (error) {
|
||||
console.error('Failed to initialize OpenAI Realtime session:', error);
|
||||
sendToRenderer('update-status', 'Failed to connect to OpenAI Realtime');
|
||||
return false;
|
||||
}
|
||||
} else if (provider === 'openai-sdk') {
|
||||
// Get OpenAI SDK configuration (for BotHub, etc.)
|
||||
const creds = getOpenAISDKCredentials();
|
||||
|
||||
if (!creds.apiKey) {
|
||||
sendToRenderer('update-status', 'OpenAI SDK API key not configured');
|
||||
return false;
|
||||
}
|
||||
|
||||
providerConfig = {
|
||||
apiKey: creds.apiKey,
|
||||
baseUrl: creds.baseUrl || null,
|
||||
model: creds.model,
|
||||
visionModel: creds.visionModel,
|
||||
whisperModel: creds.whisperModel,
|
||||
};
|
||||
|
||||
initializeNewSession(profile, customPrompt);
|
||||
|
||||
try {
|
||||
await openaiSdkProvider.initializeOpenAISDK(providerConfig);
|
||||
openaiSdkProvider.setSystemPrompt(systemPrompt);
|
||||
sendToRenderer('update-status', 'Ready (OpenAI SDK)');
|
||||
return true;
|
||||
} catch (error) {
|
||||
console.error('Failed to initialize OpenAI SDK:', error);
|
||||
sendToRenderer('update-status', 'Failed to initialize OpenAI SDK: ' + error.message);
|
||||
return false;
|
||||
}
|
||||
} else {
|
||||
// Use Gemini (default)
|
||||
const apiKey = getApiKey();
|
||||
if (!apiKey) {
|
||||
sendToRenderer('update-status', 'Gemini API key not configured');
|
||||
return false;
|
||||
}
|
||||
|
||||
const session = await geminiProvider.initializeGeminiSession(apiKey, customPrompt, profile, language);
|
||||
if (session && global.geminiSessionRef) {
|
||||
global.geminiSessionRef.current = session;
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
// Send audio to appropriate provider
|
||||
async function sendAudioContent(data, mimeType, isSystemAudio = true) {
|
||||
if (currentProvider === 'openai-realtime') {
|
||||
return await openaiRealtimeProvider.sendAudioToOpenAI(data);
|
||||
} else if (currentProvider === 'openai-sdk') {
|
||||
// OpenAI SDK buffers audio and transcribes on flush
|
||||
return await openaiSdkProvider.processAudioChunk(data, mimeType);
|
||||
} else {
|
||||
// Gemini
|
||||
if (!global.geminiSessionRef?.current) {
|
||||
return { success: false, error: 'No active Gemini session' };
|
||||
}
|
||||
try {
|
||||
const marker = isSystemAudio ? '.' : ',';
|
||||
process.stdout.write(marker);
|
||||
await global.geminiSessionRef.current.sendRealtimeInput({
|
||||
audio: { data, mimeType },
|
||||
});
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error sending audio to Gemini:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Send image to appropriate provider
|
||||
async function sendImageContent(data, prompt) {
|
||||
if (currentProvider === 'openai-realtime') {
|
||||
const creds = getOpenAICredentials();
|
||||
const result = await openaiRealtimeProvider.sendImageToOpenAI(data, prompt, {
|
||||
apiKey: creds.apiKey,
|
||||
baseUrl: creds.baseUrl,
|
||||
model: creds.model,
|
||||
});
|
||||
|
||||
if (result.success) {
|
||||
saveScreenAnalysis(prompt, result.text, result.model);
|
||||
}
|
||||
|
||||
return result;
|
||||
} else if (currentProvider === 'openai-sdk') {
|
||||
const result = await openaiSdkProvider.sendImageMessage(data, prompt);
|
||||
|
||||
if (result.success) {
|
||||
saveScreenAnalysis(prompt, result.text, result.model);
|
||||
}
|
||||
|
||||
return result;
|
||||
} else {
|
||||
// Use Gemini HTTP API
|
||||
const result = await geminiProvider.sendImageToGeminiHttp(data, prompt);
|
||||
|
||||
// Screen analysis is saved inside sendImageToGeminiHttp for Gemini
|
||||
return result;
|
||||
}
|
||||
}
|
||||
|
||||
// Send text message to appropriate provider
|
||||
async function sendTextMessage(text) {
|
||||
if (currentProvider === 'openai-realtime') {
|
||||
return await openaiRealtimeProvider.sendTextToOpenAI(text);
|
||||
} else if (currentProvider === 'openai-sdk') {
|
||||
const result = await openaiSdkProvider.sendTextMessage(text);
|
||||
if (result.success && result.text) {
|
||||
saveConversationTurn(text, result.text);
|
||||
}
|
||||
return result;
|
||||
} else {
|
||||
// Gemini
|
||||
if (!global.geminiSessionRef?.current) {
|
||||
return { success: false, error: 'No active Gemini session' };
|
||||
}
|
||||
try {
|
||||
console.log('Sending text message to Gemini:', text);
|
||||
await global.geminiSessionRef.current.sendRealtimeInput({ text: text.trim() });
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error sending text to Gemini:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Close session for appropriate provider
|
||||
async function closeSession() {
|
||||
try {
|
||||
if (currentProvider === 'openai-realtime') {
|
||||
openaiRealtimeProvider.closeOpenAISession();
|
||||
} else if (currentProvider === 'openai-sdk') {
|
||||
openaiSdkProvider.closeOpenAISDK();
|
||||
} else {
|
||||
geminiProvider.stopMacOSAudioCapture();
|
||||
if (global.geminiSessionRef?.current) {
|
||||
await global.geminiSessionRef.current.close();
|
||||
global.geminiSessionRef.current = null;
|
||||
}
|
||||
}
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error closing session:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
// Setup IPC handlers
|
||||
function setupAIProviderIpcHandlers(geminiSessionRef) {
|
||||
// Store reference for Gemini
|
||||
global.geminiSessionRef = geminiSessionRef;
|
||||
|
||||
// Listen for conversation turn save requests from providers
|
||||
ipcMain.on('save-conversation-turn-data', (event, { transcription, response }) => {
|
||||
saveConversationTurn(transcription, response);
|
||||
});
|
||||
|
||||
ipcMain.handle('initialize-ai-session', async (event, customPrompt, profile, language) => {
|
||||
return await initializeAISession(customPrompt, profile, language);
|
||||
});
|
||||
|
||||
ipcMain.handle('send-audio-content', async (event, { data, mimeType }) => {
|
||||
return await sendAudioContent(data, mimeType, true);
|
||||
});
|
||||
|
||||
ipcMain.handle('send-mic-audio-content', async (event, { data, mimeType }) => {
|
||||
return await sendAudioContent(data, mimeType, false);
|
||||
});
|
||||
|
||||
ipcMain.handle('send-image-content', async (event, { data, prompt }) => {
|
||||
return await sendImageContent(data, prompt);
|
||||
});
|
||||
|
||||
ipcMain.handle('send-text-message', async (event, text) => {
|
||||
return await sendTextMessage(text);
|
||||
});
|
||||
|
||||
ipcMain.handle('close-session', async event => {
|
||||
return await closeSession();
|
||||
});
|
||||
|
||||
// macOS system audio
|
||||
ipcMain.handle('start-macos-audio', async event => {
|
||||
if (process.platform !== 'darwin') {
|
||||
return {
|
||||
success: false,
|
||||
error: 'macOS audio capture only available on macOS',
|
||||
};
|
||||
}
|
||||
|
||||
try {
|
||||
if (currentProvider === 'gemini') {
|
||||
const success = await geminiProvider.startMacOSAudioCapture(global.geminiSessionRef);
|
||||
return { success };
|
||||
} else if (currentProvider === 'openai-sdk') {
|
||||
const success = await openaiSdkProvider.startMacOSAudioCapture();
|
||||
return { success };
|
||||
} else if (currentProvider === 'openai-realtime') {
|
||||
// OpenAI Realtime uses WebSocket, handle differently if needed
|
||||
return {
|
||||
success: false,
|
||||
error: 'OpenAI Realtime uses WebSocket for audio',
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
success: false,
|
||||
error: 'Unknown provider: ' + currentProvider,
|
||||
};
|
||||
} catch (error) {
|
||||
console.error('Error starting macOS audio capture:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
ipcMain.handle('stop-macos-audio', async event => {
|
||||
try {
|
||||
if (currentProvider === 'gemini') {
|
||||
geminiProvider.stopMacOSAudioCapture();
|
||||
} else if (currentProvider === 'openai-sdk') {
|
||||
openaiSdkProvider.stopMacOSAudioCapture();
|
||||
}
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error stopping macOS audio capture:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
// Session management
|
||||
ipcMain.handle('get-current-session', async event => {
|
||||
try {
|
||||
return { success: true, data: getCurrentSessionData() };
|
||||
} catch (error) {
|
||||
console.error('Error getting current session:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
ipcMain.handle('start-new-session', async event => {
|
||||
try {
|
||||
initializeNewSession();
|
||||
return { success: true, sessionId: currentSessionId };
|
||||
} catch (error) {
|
||||
console.error('Error starting new session:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
ipcMain.handle('update-google-search-setting', async (event, enabled) => {
|
||||
try {
|
||||
console.log('Google Search setting updated to:', enabled);
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error updating Google Search setting:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
|
||||
// Provider switching
|
||||
ipcMain.handle('switch-ai-provider', async (event, provider) => {
|
||||
try {
|
||||
console.log('Switching AI provider to:', provider);
|
||||
currentProvider = provider;
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error switching provider:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
setupAIProviderIpcHandlers,
|
||||
initializeAISession,
|
||||
sendAudioContent,
|
||||
sendImageContent,
|
||||
sendTextMessage,
|
||||
closeSession,
|
||||
getCurrentSessionData,
|
||||
initializeNewSession,
|
||||
saveConversationTurn,
|
||||
};
|
||||
+1264
-508
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,437 @@
|
||||
const { Ollama } = require('ollama');
|
||||
const { getSystemPrompt } = require('./prompts');
|
||||
const { sendToRenderer, initializeNewSession, saveConversationTurn } = require('./gemini');
|
||||
|
||||
// ── State ──
|
||||
|
||||
let ollamaClient = null;
|
||||
let ollamaModel = null;
|
||||
let whisperPipeline = null;
|
||||
let isWhisperLoading = false;
|
||||
let localConversationHistory = [];
|
||||
let currentSystemPrompt = null;
|
||||
let isLocalActive = false;
|
||||
|
||||
// VAD state
|
||||
let isSpeaking = false;
|
||||
let speechBuffers = [];
|
||||
let silenceFrameCount = 0;
|
||||
let speechFrameCount = 0;
|
||||
|
||||
// VAD configuration
|
||||
const VAD_MODES = {
|
||||
NORMAL: { energyThreshold: 0.01, speechFramesRequired: 3, silenceFramesRequired: 30 },
|
||||
LOW_BITRATE: { energyThreshold: 0.008, speechFramesRequired: 4, silenceFramesRequired: 35 },
|
||||
AGGRESSIVE: { energyThreshold: 0.015, speechFramesRequired: 2, silenceFramesRequired: 20 },
|
||||
VERY_AGGRESSIVE: { energyThreshold: 0.02, speechFramesRequired: 2, silenceFramesRequired: 15 },
|
||||
};
|
||||
let vadConfig = VAD_MODES.VERY_AGGRESSIVE;
|
||||
|
||||
// Audio resampling buffer
|
||||
let resampleRemainder = Buffer.alloc(0);
|
||||
|
||||
// ── Audio Resampling (24kHz → 16kHz) ──
|
||||
|
||||
function resample24kTo16k(inputBuffer) {
|
||||
// Combine with any leftover samples from previous call
|
||||
const combined = Buffer.concat([resampleRemainder, inputBuffer]);
|
||||
const inputSamples = Math.floor(combined.length / 2); // 16-bit = 2 bytes per sample
|
||||
// Ratio: 16000/24000 = 2/3, so for every 3 input samples we produce 2 output samples
|
||||
const outputSamples = Math.floor((inputSamples * 2) / 3);
|
||||
const outputBuffer = Buffer.alloc(outputSamples * 2);
|
||||
|
||||
for (let i = 0; i < outputSamples; i++) {
|
||||
// Map output sample index to input position
|
||||
const srcPos = (i * 3) / 2;
|
||||
const srcIndex = Math.floor(srcPos);
|
||||
const frac = srcPos - srcIndex;
|
||||
|
||||
const s0 = combined.readInt16LE(srcIndex * 2);
|
||||
const s1 = srcIndex + 1 < inputSamples ? combined.readInt16LE((srcIndex + 1) * 2) : s0;
|
||||
const interpolated = Math.round(s0 + frac * (s1 - s0));
|
||||
outputBuffer.writeInt16LE(Math.max(-32768, Math.min(32767, interpolated)), i * 2);
|
||||
}
|
||||
|
||||
// Store remainder for next call
|
||||
const consumedInputSamples = Math.ceil((outputSamples * 3) / 2);
|
||||
const remainderStart = consumedInputSamples * 2;
|
||||
resampleRemainder = remainderStart < combined.length ? combined.slice(remainderStart) : Buffer.alloc(0);
|
||||
|
||||
return outputBuffer;
|
||||
}
|
||||
|
||||
// ── VAD (Voice Activity Detection) ──
|
||||
|
||||
function calculateRMS(pcm16Buffer) {
|
||||
const samples = pcm16Buffer.length / 2;
|
||||
if (samples === 0) return 0;
|
||||
let sumSquares = 0;
|
||||
for (let i = 0; i < samples; i++) {
|
||||
const sample = pcm16Buffer.readInt16LE(i * 2) / 32768;
|
||||
sumSquares += sample * sample;
|
||||
}
|
||||
return Math.sqrt(sumSquares / samples);
|
||||
}
|
||||
|
||||
function processVAD(pcm16kBuffer) {
|
||||
const rms = calculateRMS(pcm16kBuffer);
|
||||
const isVoice = rms > vadConfig.energyThreshold;
|
||||
|
||||
if (isVoice) {
|
||||
speechFrameCount++;
|
||||
silenceFrameCount = 0;
|
||||
|
||||
if (!isSpeaking && speechFrameCount >= vadConfig.speechFramesRequired) {
|
||||
isSpeaking = true;
|
||||
speechBuffers = [];
|
||||
console.log('[LocalAI] Speech started (RMS:', rms.toFixed(4), ')');
|
||||
sendToRenderer('update-status', 'Listening... (speech detected)');
|
||||
}
|
||||
} else {
|
||||
silenceFrameCount++;
|
||||
speechFrameCount = 0;
|
||||
|
||||
if (isSpeaking && silenceFrameCount >= vadConfig.silenceFramesRequired) {
|
||||
isSpeaking = false;
|
||||
console.log('[LocalAI] Speech ended, accumulated', speechBuffers.length, 'chunks');
|
||||
sendToRenderer('update-status', 'Transcribing...');
|
||||
|
||||
// Trigger transcription with accumulated audio
|
||||
const audioData = Buffer.concat(speechBuffers);
|
||||
speechBuffers = [];
|
||||
handleSpeechEnd(audioData);
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
// Accumulate audio during speech
|
||||
if (isSpeaking) {
|
||||
speechBuffers.push(Buffer.from(pcm16kBuffer));
|
||||
}
|
||||
}
|
||||
|
||||
// ── Whisper Transcription ──
|
||||
|
||||
async function loadWhisperPipeline(modelName) {
|
||||
if (whisperPipeline) return whisperPipeline;
|
||||
if (isWhisperLoading) return null;
|
||||
|
||||
isWhisperLoading = true;
|
||||
console.log('[LocalAI] Loading Whisper model:', modelName);
|
||||
sendToRenderer('whisper-downloading', true);
|
||||
sendToRenderer('update-status', 'Loading Whisper model (first time may take a while)...');
|
||||
|
||||
try {
|
||||
// Dynamic import for ESM module
|
||||
const { pipeline, env } = await import('@huggingface/transformers');
|
||||
// Cache models outside the asar archive so ONNX runtime can load them
|
||||
const { app } = require('electron');
|
||||
const path = require('path');
|
||||
env.cacheDir = path.join(app.getPath('userData'), 'whisper-models');
|
||||
whisperPipeline = await pipeline('automatic-speech-recognition', modelName, {
|
||||
dtype: 'q8',
|
||||
device: 'auto',
|
||||
});
|
||||
console.log('[LocalAI] Whisper model loaded successfully');
|
||||
sendToRenderer('whisper-downloading', false);
|
||||
isWhisperLoading = false;
|
||||
return whisperPipeline;
|
||||
} catch (error) {
|
||||
console.error('[LocalAI] Failed to load Whisper model:', error);
|
||||
sendToRenderer('whisper-downloading', false);
|
||||
sendToRenderer('update-status', 'Failed to load Whisper model: ' + error.message);
|
||||
isWhisperLoading = false;
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
function pcm16ToFloat32(pcm16Buffer) {
|
||||
const samples = pcm16Buffer.length / 2;
|
||||
const float32 = new Float32Array(samples);
|
||||
for (let i = 0; i < samples; i++) {
|
||||
float32[i] = pcm16Buffer.readInt16LE(i * 2) / 32768;
|
||||
}
|
||||
return float32;
|
||||
}
|
||||
|
||||
async function transcribeAudio(pcm16kBuffer) {
|
||||
if (!whisperPipeline) {
|
||||
console.error('[LocalAI] Whisper pipeline not loaded');
|
||||
return null;
|
||||
}
|
||||
|
||||
try {
|
||||
const float32Audio = pcm16ToFloat32(pcm16kBuffer);
|
||||
|
||||
// Whisper expects audio at 16kHz which is what we have
|
||||
const result = await whisperPipeline(float32Audio, {
|
||||
sampling_rate: 16000,
|
||||
language: 'en',
|
||||
task: 'transcribe',
|
||||
});
|
||||
|
||||
const text = result.text?.trim();
|
||||
console.log('[LocalAI] Transcription:', text);
|
||||
return text;
|
||||
} catch (error) {
|
||||
console.error('[LocalAI] Transcription error:', error);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
// ── Speech End Handler ──
|
||||
|
||||
async function handleSpeechEnd(audioData) {
|
||||
if (!isLocalActive) return;
|
||||
|
||||
// Minimum audio length check (~0.5 seconds at 16kHz, 16-bit)
|
||||
if (audioData.length < 16000) {
|
||||
console.log('[LocalAI] Audio too short, skipping');
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
return;
|
||||
}
|
||||
|
||||
const transcription = await transcribeAudio(audioData);
|
||||
|
||||
if (!transcription || transcription.trim() === '' || transcription.trim().length < 2) {
|
||||
console.log('[LocalAI] Empty transcription, skipping');
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
return;
|
||||
}
|
||||
|
||||
sendToRenderer('update-status', 'Generating response...');
|
||||
await sendToOllama(transcription);
|
||||
}
|
||||
|
||||
// ── Ollama Chat ──
|
||||
|
||||
async function sendToOllama(transcription) {
|
||||
if (!ollamaClient || !ollamaModel) {
|
||||
console.error('[LocalAI] Ollama not configured');
|
||||
return;
|
||||
}
|
||||
|
||||
console.log('[LocalAI] Sending to Ollama:', transcription.substring(0, 100) + '...');
|
||||
|
||||
localConversationHistory.push({
|
||||
role: 'user',
|
||||
content: transcription.trim(),
|
||||
});
|
||||
|
||||
// Keep history manageable
|
||||
if (localConversationHistory.length > 20) {
|
||||
localConversationHistory = localConversationHistory.slice(-20);
|
||||
}
|
||||
|
||||
try {
|
||||
const messages = [
|
||||
{ role: 'system', content: currentSystemPrompt || 'You are a helpful assistant.' },
|
||||
...localConversationHistory,
|
||||
];
|
||||
|
||||
const response = await ollamaClient.chat({
|
||||
model: ollamaModel,
|
||||
messages,
|
||||
stream: true,
|
||||
});
|
||||
|
||||
let fullText = '';
|
||||
let isFirst = true;
|
||||
|
||||
for await (const part of response) {
|
||||
const token = part.message?.content || '';
|
||||
if (token) {
|
||||
fullText += token;
|
||||
sendToRenderer(isFirst ? 'new-response' : 'update-response', fullText);
|
||||
isFirst = false;
|
||||
}
|
||||
}
|
||||
|
||||
if (fullText.trim()) {
|
||||
localConversationHistory.push({
|
||||
role: 'assistant',
|
||||
content: fullText.trim(),
|
||||
});
|
||||
|
||||
saveConversationTurn(transcription, fullText);
|
||||
}
|
||||
|
||||
console.log('[LocalAI] Ollama response completed');
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
} catch (error) {
|
||||
console.error('[LocalAI] Ollama error:', error);
|
||||
sendToRenderer('update-status', 'Ollama error: ' + error.message);
|
||||
}
|
||||
}
|
||||
|
||||
// ── Public API ──
|
||||
|
||||
async function initializeLocalSession(ollamaHost, model, whisperModel, profile, customPrompt) {
|
||||
console.log('[LocalAI] Initializing local session:', { ollamaHost, model, whisperModel, profile });
|
||||
|
||||
sendToRenderer('session-initializing', true);
|
||||
|
||||
try {
|
||||
// Setup system prompt
|
||||
currentSystemPrompt = getSystemPrompt(profile, customPrompt, false);
|
||||
|
||||
// Initialize Ollama client
|
||||
ollamaClient = new Ollama({ host: ollamaHost });
|
||||
ollamaModel = model;
|
||||
|
||||
// Test Ollama connection
|
||||
try {
|
||||
await ollamaClient.list();
|
||||
console.log('[LocalAI] Ollama connection verified');
|
||||
} catch (error) {
|
||||
console.error('[LocalAI] Cannot connect to Ollama at', ollamaHost, ':', error.message);
|
||||
sendToRenderer('session-initializing', false);
|
||||
sendToRenderer('update-status', 'Cannot connect to Ollama at ' + ollamaHost);
|
||||
return false;
|
||||
}
|
||||
|
||||
// Load Whisper model
|
||||
const pipeline = await loadWhisperPipeline(whisperModel);
|
||||
if (!pipeline) {
|
||||
sendToRenderer('session-initializing', false);
|
||||
return false;
|
||||
}
|
||||
|
||||
// Reset VAD state
|
||||
isSpeaking = false;
|
||||
speechBuffers = [];
|
||||
silenceFrameCount = 0;
|
||||
speechFrameCount = 0;
|
||||
resampleRemainder = Buffer.alloc(0);
|
||||
localConversationHistory = [];
|
||||
|
||||
// Initialize conversation session
|
||||
initializeNewSession(profile, customPrompt);
|
||||
|
||||
isLocalActive = true;
|
||||
sendToRenderer('session-initializing', false);
|
||||
sendToRenderer('update-status', 'Local AI ready - Listening...');
|
||||
|
||||
console.log('[LocalAI] Session initialized successfully');
|
||||
return true;
|
||||
} catch (error) {
|
||||
console.error('[LocalAI] Initialization error:', error);
|
||||
sendToRenderer('session-initializing', false);
|
||||
sendToRenderer('update-status', 'Local AI error: ' + error.message);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
function processLocalAudio(monoChunk24k) {
|
||||
if (!isLocalActive) return;
|
||||
|
||||
// Resample from 24kHz to 16kHz
|
||||
const pcm16k = resample24kTo16k(monoChunk24k);
|
||||
if (pcm16k.length > 0) {
|
||||
processVAD(pcm16k);
|
||||
}
|
||||
}
|
||||
|
||||
function closeLocalSession() {
|
||||
console.log('[LocalAI] Closing local session');
|
||||
isLocalActive = false;
|
||||
isSpeaking = false;
|
||||
speechBuffers = [];
|
||||
silenceFrameCount = 0;
|
||||
speechFrameCount = 0;
|
||||
resampleRemainder = Buffer.alloc(0);
|
||||
localConversationHistory = [];
|
||||
ollamaClient = null;
|
||||
ollamaModel = null;
|
||||
currentSystemPrompt = null;
|
||||
// Note: whisperPipeline is kept loaded to avoid reloading on next session
|
||||
}
|
||||
|
||||
function isLocalSessionActive() {
|
||||
return isLocalActive;
|
||||
}
|
||||
|
||||
// ── Send text directly to Ollama (for manual text input) ──
|
||||
|
||||
async function sendLocalText(text) {
|
||||
if (!isLocalActive || !ollamaClient) {
|
||||
return { success: false, error: 'No active local session' };
|
||||
}
|
||||
|
||||
try {
|
||||
await sendToOllama(text);
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
async function sendLocalImage(base64Data, prompt) {
|
||||
if (!isLocalActive || !ollamaClient) {
|
||||
return { success: false, error: 'No active local session' };
|
||||
}
|
||||
|
||||
try {
|
||||
console.log('[LocalAI] Sending image to Ollama');
|
||||
sendToRenderer('update-status', 'Analyzing image...');
|
||||
|
||||
const userMessage = {
|
||||
role: 'user',
|
||||
content: prompt,
|
||||
images: [base64Data],
|
||||
};
|
||||
|
||||
// Store text-only version in history
|
||||
localConversationHistory.push({ role: 'user', content: prompt });
|
||||
|
||||
if (localConversationHistory.length > 20) {
|
||||
localConversationHistory = localConversationHistory.slice(-20);
|
||||
}
|
||||
|
||||
const messages = [
|
||||
{ role: 'system', content: currentSystemPrompt || 'You are a helpful assistant.' },
|
||||
...localConversationHistory.slice(0, -1),
|
||||
userMessage,
|
||||
];
|
||||
|
||||
const response = await ollamaClient.chat({
|
||||
model: ollamaModel,
|
||||
messages,
|
||||
stream: true,
|
||||
});
|
||||
|
||||
let fullText = '';
|
||||
let isFirst = true;
|
||||
|
||||
for await (const part of response) {
|
||||
const token = part.message?.content || '';
|
||||
if (token) {
|
||||
fullText += token;
|
||||
sendToRenderer(isFirst ? 'new-response' : 'update-response', fullText);
|
||||
isFirst = false;
|
||||
}
|
||||
}
|
||||
|
||||
if (fullText.trim()) {
|
||||
localConversationHistory.push({ role: 'assistant', content: fullText.trim() });
|
||||
saveConversationTurn(prompt, fullText);
|
||||
}
|
||||
|
||||
console.log('[LocalAI] Image response completed');
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
return { success: true, text: fullText, model: ollamaModel };
|
||||
} catch (error) {
|
||||
console.error('[LocalAI] Image error:', error);
|
||||
sendToRenderer('update-status', 'Ollama error: ' + error.message);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
initializeLocalSession,
|
||||
processLocalAudio,
|
||||
closeLocalSession,
|
||||
isLocalSessionActive,
|
||||
sendLocalText,
|
||||
sendLocalImage,
|
||||
};
|
||||
@@ -1,97 +0,0 @@
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
const { app } = require('electron');
|
||||
|
||||
let logFile = null;
|
||||
let logPath = null;
|
||||
|
||||
function getLogPath() {
|
||||
if (logPath) return logPath;
|
||||
|
||||
const userDataPath = app.getPath('userData');
|
||||
const logsDir = path.join(userDataPath, 'logs');
|
||||
|
||||
// Create logs directory if it doesn't exist
|
||||
if (!fs.existsSync(logsDir)) {
|
||||
fs.mkdirSync(logsDir, { recursive: true });
|
||||
}
|
||||
|
||||
// Create log file with timestamp
|
||||
const timestamp = new Date().toISOString().split('T')[0];
|
||||
logPath = path.join(logsDir, `app-${timestamp}.log`);
|
||||
|
||||
return logPath;
|
||||
}
|
||||
|
||||
function initLogger() {
|
||||
try {
|
||||
const filePath = getLogPath();
|
||||
logFile = fs.createWriteStream(filePath, { flags: 'a' });
|
||||
|
||||
const startMsg = `\n${'='.repeat(60)}\nApp started at ${new Date().toISOString()}\nPlatform: ${process.platform}, Arch: ${process.arch}\nElectron: ${process.versions.electron}, Node: ${process.versions.node}\nPackaged: ${app.isPackaged}\n${'='.repeat(60)}\n`;
|
||||
logFile.write(startMsg);
|
||||
|
||||
// Override console methods to also write to file
|
||||
const originalLog = console.log;
|
||||
const originalError = console.error;
|
||||
const originalWarn = console.warn;
|
||||
|
||||
console.log = (...args) => {
|
||||
originalLog.apply(console, args);
|
||||
writeLog('INFO', args);
|
||||
};
|
||||
|
||||
console.error = (...args) => {
|
||||
originalError.apply(console, args);
|
||||
writeLog('ERROR', args);
|
||||
};
|
||||
|
||||
console.warn = (...args) => {
|
||||
originalWarn.apply(console, args);
|
||||
writeLog('WARN', args);
|
||||
};
|
||||
|
||||
console.log('Logger initialized, writing to:', filePath);
|
||||
|
||||
return filePath;
|
||||
} catch (err) {
|
||||
console.error('Failed to initialize logger:', err);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
function writeLog(level, args) {
|
||||
if (!logFile) return;
|
||||
|
||||
try {
|
||||
const timestamp = new Date().toISOString();
|
||||
const message = args.map(arg => {
|
||||
if (typeof arg === 'object') {
|
||||
try {
|
||||
return JSON.stringify(arg, null, 2);
|
||||
} catch {
|
||||
return String(arg);
|
||||
}
|
||||
}
|
||||
return String(arg);
|
||||
}).join(' ');
|
||||
|
||||
logFile.write(`[${timestamp}] [${level}] ${message}\n`);
|
||||
} catch (err) {
|
||||
// Silently fail - don't want logging errors to crash the app
|
||||
}
|
||||
}
|
||||
|
||||
function closeLogger() {
|
||||
if (logFile) {
|
||||
logFile.write(`\nApp closed at ${new Date().toISOString()}\n`);
|
||||
logFile.end();
|
||||
logFile = null;
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
initLogger,
|
||||
closeLogger,
|
||||
getLogPath,
|
||||
};
|
||||
@@ -1,402 +0,0 @@
|
||||
const { BrowserWindow } = require('electron');
|
||||
const WebSocket = require('ws');
|
||||
|
||||
// OpenAI Realtime API implementation
|
||||
// Documentation: https://platform.openai.com/docs/api-reference/realtime
|
||||
|
||||
let ws = null;
|
||||
let isUserClosing = false;
|
||||
let sessionParams = null;
|
||||
let reconnectAttempts = 0;
|
||||
const MAX_RECONNECT_ATTEMPTS = 3;
|
||||
const RECONNECT_DELAY = 2000;
|
||||
|
||||
// Message buffer for accumulating responses
|
||||
let messageBuffer = '';
|
||||
let currentTranscription = '';
|
||||
|
||||
function sendToRenderer(channel, data) {
|
||||
const windows = BrowserWindow.getAllWindows();
|
||||
if (windows.length > 0) {
|
||||
windows[0].webContents.send(channel, data);
|
||||
}
|
||||
}
|
||||
|
||||
function buildContextMessage(conversationHistory) {
|
||||
const lastTurns = conversationHistory.slice(-20);
|
||||
const validTurns = lastTurns.filter(turn => turn.transcription?.trim() && turn.ai_response?.trim());
|
||||
|
||||
if (validTurns.length === 0) return null;
|
||||
|
||||
const contextLines = validTurns.map(turn => `User: ${turn.transcription.trim()}\nAssistant: ${turn.ai_response.trim()}`);
|
||||
|
||||
return `Session reconnected. Here's the conversation so far:\n\n${contextLines.join('\n\n')}\n\nContinue from here.`;
|
||||
}
|
||||
|
||||
async function initializeOpenAISession(config, conversationHistory = []) {
|
||||
const { apiKey, baseUrl, systemPrompt, model, language, isReconnect } = config;
|
||||
|
||||
if (!isReconnect) {
|
||||
sessionParams = config;
|
||||
reconnectAttempts = 0;
|
||||
sendToRenderer('session-initializing', true);
|
||||
}
|
||||
|
||||
// Use custom baseURL or default OpenAI endpoint
|
||||
const wsUrl = baseUrl || 'wss://api.openai.com/v1/realtime';
|
||||
const fullUrl = `${wsUrl}?model=${model || 'gpt-4o-realtime-preview-2024-12-17'}`;
|
||||
|
||||
return new Promise((resolve, reject) => {
|
||||
try {
|
||||
ws = new WebSocket(fullUrl, {
|
||||
headers: {
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
'OpenAI-Beta': 'realtime=v1',
|
||||
},
|
||||
});
|
||||
|
||||
ws.on('open', () => {
|
||||
console.log('OpenAI Realtime connection established');
|
||||
|
||||
// Configure session
|
||||
const sessionConfig = {
|
||||
type: 'session.update',
|
||||
session: {
|
||||
modalities: ['text', 'audio'],
|
||||
instructions: systemPrompt,
|
||||
voice: 'alloy',
|
||||
input_audio_format: 'pcm16',
|
||||
output_audio_format: 'pcm16',
|
||||
input_audio_transcription: {
|
||||
model: 'whisper-1',
|
||||
},
|
||||
turn_detection: {
|
||||
type: 'server_vad',
|
||||
threshold: 0.5,
|
||||
prefix_padding_ms: 300,
|
||||
silence_duration_ms: 500,
|
||||
},
|
||||
temperature: 0.8,
|
||||
max_response_output_tokens: 4096,
|
||||
},
|
||||
};
|
||||
|
||||
ws.send(JSON.stringify(sessionConfig));
|
||||
|
||||
// Restore context if reconnecting
|
||||
if (isReconnect && conversationHistory.length > 0) {
|
||||
const contextMessage = buildContextMessage(conversationHistory);
|
||||
if (contextMessage) {
|
||||
ws.send(
|
||||
JSON.stringify({
|
||||
type: 'conversation.item.create',
|
||||
item: {
|
||||
type: 'message',
|
||||
role: 'user',
|
||||
content: [{ type: 'input_text', text: contextMessage }],
|
||||
},
|
||||
})
|
||||
);
|
||||
ws.send(JSON.stringify({ type: 'response.create' }));
|
||||
}
|
||||
}
|
||||
|
||||
sendToRenderer('update-status', 'Connected to OpenAI');
|
||||
if (!isReconnect) {
|
||||
sendToRenderer('session-initializing', false);
|
||||
}
|
||||
resolve(ws);
|
||||
});
|
||||
|
||||
ws.on('message', data => {
|
||||
try {
|
||||
const event = JSON.parse(data.toString());
|
||||
handleOpenAIEvent(event);
|
||||
} catch (error) {
|
||||
console.error('Error parsing OpenAI message:', error);
|
||||
}
|
||||
});
|
||||
|
||||
ws.on('error', error => {
|
||||
console.error('OpenAI WebSocket error:', error);
|
||||
sendToRenderer('update-status', 'Error: ' + error.message);
|
||||
reject(error);
|
||||
});
|
||||
|
||||
ws.on('close', (code, reason) => {
|
||||
console.log(`OpenAI WebSocket closed: ${code} - ${reason}`);
|
||||
|
||||
if (isUserClosing) {
|
||||
isUserClosing = false;
|
||||
sendToRenderer('update-status', 'Session closed');
|
||||
return;
|
||||
}
|
||||
|
||||
// Attempt reconnection
|
||||
if (sessionParams && reconnectAttempts < MAX_RECONNECT_ATTEMPTS) {
|
||||
attemptReconnect(conversationHistory);
|
||||
} else {
|
||||
sendToRenderer('update-status', 'Session closed');
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Failed to initialize OpenAI session:', error);
|
||||
if (!isReconnect) {
|
||||
sendToRenderer('session-initializing', false);
|
||||
}
|
||||
reject(error);
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
function handleOpenAIEvent(event) {
|
||||
console.log('OpenAI event:', event.type);
|
||||
|
||||
switch (event.type) {
|
||||
case 'session.created':
|
||||
console.log('Session created:', event.session.id);
|
||||
break;
|
||||
|
||||
case 'session.updated':
|
||||
console.log('Session updated');
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
break;
|
||||
|
||||
case 'input_audio_buffer.speech_started':
|
||||
console.log('Speech started');
|
||||
break;
|
||||
|
||||
case 'input_audio_buffer.speech_stopped':
|
||||
console.log('Speech stopped');
|
||||
break;
|
||||
|
||||
case 'conversation.item.input_audio_transcription.completed':
|
||||
if (event.transcript) {
|
||||
currentTranscription += event.transcript;
|
||||
console.log('Transcription:', event.transcript);
|
||||
}
|
||||
break;
|
||||
|
||||
case 'response.audio_transcript.delta':
|
||||
if (event.delta) {
|
||||
const isNewResponse = messageBuffer === '';
|
||||
messageBuffer += event.delta;
|
||||
sendToRenderer(isNewResponse ? 'new-response' : 'update-response', messageBuffer);
|
||||
}
|
||||
break;
|
||||
|
||||
case 'response.audio_transcript.done':
|
||||
console.log('Audio transcript complete');
|
||||
break;
|
||||
|
||||
case 'response.text.delta':
|
||||
if (event.delta) {
|
||||
const isNewResponse = messageBuffer === '';
|
||||
messageBuffer += event.delta;
|
||||
sendToRenderer(isNewResponse ? 'new-response' : 'update-response', messageBuffer);
|
||||
}
|
||||
break;
|
||||
|
||||
case 'response.done':
|
||||
if (messageBuffer.trim() !== '') {
|
||||
sendToRenderer('update-response', messageBuffer);
|
||||
|
||||
// Send conversation turn to be saved
|
||||
if (currentTranscription) {
|
||||
sendToRenderer('save-conversation-turn-data', {
|
||||
transcription: currentTranscription,
|
||||
response: messageBuffer,
|
||||
});
|
||||
currentTranscription = '';
|
||||
}
|
||||
}
|
||||
messageBuffer = '';
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
break;
|
||||
|
||||
case 'error':
|
||||
console.error('OpenAI error:', event.error);
|
||||
sendToRenderer('update-status', 'Error: ' + event.error.message);
|
||||
break;
|
||||
|
||||
default:
|
||||
// console.log('Unhandled event type:', event.type);
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
async function attemptReconnect(conversationHistory) {
|
||||
reconnectAttempts++;
|
||||
console.log(`Reconnection attempt ${reconnectAttempts}/${MAX_RECONNECT_ATTEMPTS}`);
|
||||
|
||||
messageBuffer = '';
|
||||
currentTranscription = '';
|
||||
|
||||
sendToRenderer('update-status', `Reconnecting... (${reconnectAttempts}/${MAX_RECONNECT_ATTEMPTS})`);
|
||||
|
||||
await new Promise(resolve => setTimeout(resolve, RECONNECT_DELAY));
|
||||
|
||||
try {
|
||||
const newConfig = { ...sessionParams, isReconnect: true };
|
||||
ws = await initializeOpenAISession(newConfig, conversationHistory);
|
||||
sendToRenderer('update-status', 'Reconnected! Listening...');
|
||||
console.log('OpenAI session reconnected successfully');
|
||||
return true;
|
||||
} catch (error) {
|
||||
console.error(`Reconnection attempt ${reconnectAttempts} failed:`, error);
|
||||
|
||||
if (reconnectAttempts < MAX_RECONNECT_ATTEMPTS) {
|
||||
return attemptReconnect(conversationHistory);
|
||||
}
|
||||
|
||||
console.log('Max reconnection attempts reached');
|
||||
sendToRenderer('reconnect-failed', {
|
||||
message: 'Tried 3 times to reconnect to OpenAI. Check your connection and API key.',
|
||||
});
|
||||
sessionParams = null;
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
async function sendAudioToOpenAI(base64Data) {
|
||||
if (!ws || ws.readyState !== WebSocket.OPEN) {
|
||||
console.error('WebSocket not connected');
|
||||
return { success: false, error: 'No active connection' };
|
||||
}
|
||||
|
||||
try {
|
||||
ws.send(
|
||||
JSON.stringify({
|
||||
type: 'input_audio_buffer.append',
|
||||
audio: base64Data,
|
||||
})
|
||||
);
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error sending audio to OpenAI:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
async function sendTextToOpenAI(text) {
|
||||
if (!ws || ws.readyState !== WebSocket.OPEN) {
|
||||
console.error('WebSocket not connected');
|
||||
return { success: false, error: 'No active connection' };
|
||||
}
|
||||
|
||||
try {
|
||||
// Create a conversation item with user text
|
||||
ws.send(
|
||||
JSON.stringify({
|
||||
type: 'conversation.item.create',
|
||||
item: {
|
||||
type: 'message',
|
||||
role: 'user',
|
||||
content: [{ type: 'input_text', text: text }],
|
||||
},
|
||||
})
|
||||
);
|
||||
|
||||
// Trigger response generation
|
||||
ws.send(JSON.stringify({ type: 'response.create' }));
|
||||
|
||||
return { success: true };
|
||||
} catch (error) {
|
||||
console.error('Error sending text to OpenAI:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
async function sendImageToOpenAI(base64Data, prompt, config) {
|
||||
const { apiKey, baseUrl, model } = config;
|
||||
|
||||
// OpenAI doesn't support images in Realtime API yet, use standard Chat Completions
|
||||
const apiEndpoint = baseUrl ? `${baseUrl.replace('wss://', 'https://').replace('/v1/realtime', '')}/v1/chat/completions` : 'https://api.openai.com/v1/chat/completions';
|
||||
|
||||
try {
|
||||
const response = await fetch(apiEndpoint, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: model || 'gpt-4o',
|
||||
messages: [
|
||||
{
|
||||
role: 'user',
|
||||
content: [
|
||||
{ type: 'text', text: prompt },
|
||||
{
|
||||
type: 'image_url',
|
||||
image_url: {
|
||||
url: `data:image/jpeg;base64,${base64Data}`,
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
max_tokens: 4096,
|
||||
stream: true,
|
||||
}),
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const error = await response.text();
|
||||
throw new Error(`OpenAI API error: ${response.status} - ${error}`);
|
||||
}
|
||||
|
||||
const reader = response.body.getReader();
|
||||
const decoder = new TextDecoder();
|
||||
let fullText = '';
|
||||
let isFirst = true;
|
||||
|
||||
while (true) {
|
||||
const { done, value } = await reader.read();
|
||||
if (done) break;
|
||||
|
||||
const chunk = decoder.decode(value);
|
||||
const lines = chunk.split('\n').filter(line => line.trim().startsWith('data: '));
|
||||
|
||||
for (const line of lines) {
|
||||
const data = line.replace('data: ', '');
|
||||
if (data === '[DONE]') continue;
|
||||
|
||||
try {
|
||||
const json = JSON.parse(data);
|
||||
const content = json.choices[0]?.delta?.content;
|
||||
if (content) {
|
||||
fullText += content;
|
||||
sendToRenderer(isFirst ? 'new-response' : 'update-response', fullText);
|
||||
isFirst = false;
|
||||
}
|
||||
} catch (e) {
|
||||
// Skip invalid JSON
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return { success: true, text: fullText, model: model || 'gpt-4o' };
|
||||
} catch (error) {
|
||||
console.error('Error sending image to OpenAI:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
function closeOpenAISession() {
|
||||
isUserClosing = true;
|
||||
sessionParams = null;
|
||||
|
||||
if (ws) {
|
||||
ws.close();
|
||||
ws = null;
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
initializeOpenAISession,
|
||||
sendAudioToOpenAI,
|
||||
sendTextToOpenAI,
|
||||
sendImageToOpenAI,
|
||||
closeOpenAISession,
|
||||
};
|
||||
@@ -1,689 +0,0 @@
|
||||
const { BrowserWindow } = require('electron');
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
const os = require('os');
|
||||
const { spawn } = require('child_process');
|
||||
|
||||
// OpenAI SDK will be loaded dynamically
|
||||
let OpenAI = null;
|
||||
|
||||
// OpenAI SDK-based provider (for BotHub, Azure, and other OpenAI-compatible APIs)
|
||||
// This uses the standard Chat Completions API with Whisper for transcription
|
||||
|
||||
let openaiClient = null;
|
||||
let currentConfig = null;
|
||||
let conversationMessages = [];
|
||||
let isProcessing = false;
|
||||
|
||||
// macOS audio capture
|
||||
let systemAudioProc = null;
|
||||
let audioBuffer = Buffer.alloc(0);
|
||||
let transcriptionTimer = null;
|
||||
const TRANSCRIPTION_INTERVAL_MS = 3000; // Transcribe every 3 seconds
|
||||
const MIN_AUDIO_DURATION_MS = 500; // Minimum audio duration to transcribe
|
||||
const SAMPLE_RATE = 24000;
|
||||
|
||||
function sendToRenderer(channel, data) {
|
||||
const windows = BrowserWindow.getAllWindows();
|
||||
if (windows.length > 0) {
|
||||
windows[0].webContents.send(channel, data);
|
||||
}
|
||||
}
|
||||
|
||||
async function initializeOpenAISDK(config) {
|
||||
const { apiKey, baseUrl, model } = config;
|
||||
|
||||
if (!apiKey) {
|
||||
throw new Error('OpenAI API key is required');
|
||||
}
|
||||
|
||||
// Dynamic import for ES module
|
||||
if (!OpenAI) {
|
||||
const openaiModule = await import('openai');
|
||||
OpenAI = openaiModule.default;
|
||||
}
|
||||
|
||||
const clientConfig = {
|
||||
apiKey: apiKey,
|
||||
};
|
||||
|
||||
// Use custom baseURL if provided
|
||||
if (baseUrl && baseUrl.trim() !== '') {
|
||||
clientConfig.baseURL = baseUrl;
|
||||
}
|
||||
|
||||
openaiClient = new OpenAI(clientConfig);
|
||||
currentConfig = config;
|
||||
conversationMessages = [];
|
||||
|
||||
console.log('OpenAI SDK initialized with baseURL:', clientConfig.baseURL || 'default');
|
||||
sendToRenderer('update-status', 'Ready (OpenAI SDK)');
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
function setSystemPrompt(systemPrompt) {
|
||||
// Clear conversation and set system prompt
|
||||
conversationMessages = [];
|
||||
if (systemPrompt) {
|
||||
conversationMessages.push({
|
||||
role: 'system',
|
||||
content: systemPrompt,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Create WAV file from raw PCM data
|
||||
function createWavBuffer(pcmBuffer, sampleRate = 24000, numChannels = 1, bitsPerSample = 16) {
|
||||
const byteRate = sampleRate * numChannels * (bitsPerSample / 8);
|
||||
const blockAlign = numChannels * (bitsPerSample / 8);
|
||||
const dataSize = pcmBuffer.length;
|
||||
const headerSize = 44;
|
||||
const fileSize = headerSize + dataSize - 8;
|
||||
|
||||
const wavBuffer = Buffer.alloc(headerSize + dataSize);
|
||||
|
||||
// RIFF header
|
||||
wavBuffer.write('RIFF', 0);
|
||||
wavBuffer.writeUInt32LE(fileSize, 4);
|
||||
wavBuffer.write('WAVE', 8);
|
||||
|
||||
// fmt chunk
|
||||
wavBuffer.write('fmt ', 12);
|
||||
wavBuffer.writeUInt32LE(16, 16); // fmt chunk size
|
||||
wavBuffer.writeUInt16LE(1, 20); // audio format (1 = PCM)
|
||||
wavBuffer.writeUInt16LE(numChannels, 22);
|
||||
wavBuffer.writeUInt32LE(sampleRate, 24);
|
||||
wavBuffer.writeUInt32LE(byteRate, 28);
|
||||
wavBuffer.writeUInt16LE(blockAlign, 32);
|
||||
wavBuffer.writeUInt16LE(bitsPerSample, 34);
|
||||
|
||||
// data chunk
|
||||
wavBuffer.write('data', 36);
|
||||
wavBuffer.writeUInt32LE(dataSize, 40);
|
||||
|
||||
// Copy PCM data
|
||||
pcmBuffer.copy(wavBuffer, 44);
|
||||
|
||||
return wavBuffer;
|
||||
}
|
||||
|
||||
async function transcribeAudio(audioBuffer, mimeType = 'audio/wav') {
|
||||
if (!openaiClient) {
|
||||
throw new Error('OpenAI client not initialized');
|
||||
}
|
||||
|
||||
try {
|
||||
// Save audio buffer to temp file (OpenAI SDK requires file path)
|
||||
const tempDir = os.tmpdir();
|
||||
const tempFile = path.join(tempDir, `audio_${Date.now()}.wav`);
|
||||
|
||||
// Convert base64 to buffer if needed
|
||||
let buffer = audioBuffer;
|
||||
if (typeof audioBuffer === 'string') {
|
||||
buffer = Buffer.from(audioBuffer, 'base64');
|
||||
}
|
||||
|
||||
// Create proper WAV file with header
|
||||
const wavBuffer = createWavBuffer(buffer, SAMPLE_RATE, 1, 16);
|
||||
fs.writeFileSync(tempFile, wavBuffer);
|
||||
|
||||
const transcription = await openaiClient.audio.transcriptions.create({
|
||||
file: fs.createReadStream(tempFile),
|
||||
model: currentConfig.whisperModel || 'whisper-1',
|
||||
response_format: 'text',
|
||||
});
|
||||
|
||||
// Clean up temp file
|
||||
try {
|
||||
fs.unlinkSync(tempFile);
|
||||
} catch (e) {
|
||||
// Ignore cleanup errors
|
||||
}
|
||||
|
||||
return transcription;
|
||||
} catch (error) {
|
||||
console.error('Transcription error:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async function sendTextMessage(text) {
|
||||
if (!openaiClient) {
|
||||
return { success: false, error: 'OpenAI client not initialized' };
|
||||
}
|
||||
|
||||
if (isProcessing) {
|
||||
return { success: false, error: 'Already processing a request' };
|
||||
}
|
||||
|
||||
isProcessing = true;
|
||||
|
||||
try {
|
||||
// Add user message to conversation
|
||||
conversationMessages.push({
|
||||
role: 'user',
|
||||
content: text,
|
||||
});
|
||||
|
||||
sendToRenderer('update-status', 'Thinking...');
|
||||
|
||||
const stream = await openaiClient.chat.completions.create({
|
||||
model: currentConfig.model || 'gpt-4o',
|
||||
messages: conversationMessages,
|
||||
stream: true,
|
||||
max_tokens: 4096,
|
||||
});
|
||||
|
||||
let fullResponse = '';
|
||||
let isFirst = true;
|
||||
|
||||
for await (const chunk of stream) {
|
||||
const content = chunk.choices[0]?.delta?.content;
|
||||
if (content) {
|
||||
fullResponse += content;
|
||||
sendToRenderer(isFirst ? 'new-response' : 'update-response', fullResponse);
|
||||
isFirst = false;
|
||||
}
|
||||
}
|
||||
|
||||
// Add assistant response to conversation
|
||||
conversationMessages.push({
|
||||
role: 'assistant',
|
||||
content: fullResponse,
|
||||
});
|
||||
|
||||
sendToRenderer('update-status', 'Ready');
|
||||
isProcessing = false;
|
||||
|
||||
return { success: true, text: fullResponse };
|
||||
} catch (error) {
|
||||
console.error('Chat completion error:', error);
|
||||
sendToRenderer('update-status', 'Error: ' + error.message);
|
||||
isProcessing = false;
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
async function sendImageMessage(base64Image, prompt) {
|
||||
if (!openaiClient) {
|
||||
return { success: false, error: 'OpenAI client not initialized' };
|
||||
}
|
||||
|
||||
if (isProcessing) {
|
||||
return { success: false, error: 'Already processing a request' };
|
||||
}
|
||||
|
||||
isProcessing = true;
|
||||
|
||||
try {
|
||||
sendToRenderer('update-status', 'Analyzing image...');
|
||||
|
||||
const messages = [
|
||||
...conversationMessages,
|
||||
{
|
||||
role: 'user',
|
||||
content: [
|
||||
{ type: 'text', text: prompt },
|
||||
{
|
||||
type: 'image_url',
|
||||
image_url: {
|
||||
url: `data:image/jpeg;base64,${base64Image}`,
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
const stream = await openaiClient.chat.completions.create({
|
||||
model: currentConfig.visionModel || currentConfig.model || 'gpt-4o',
|
||||
messages: messages,
|
||||
stream: true,
|
||||
max_tokens: 4096,
|
||||
});
|
||||
|
||||
let fullResponse = '';
|
||||
let isFirst = true;
|
||||
|
||||
for await (const chunk of stream) {
|
||||
const content = chunk.choices[0]?.delta?.content;
|
||||
if (content) {
|
||||
fullResponse += content;
|
||||
sendToRenderer(isFirst ? 'new-response' : 'update-response', fullResponse);
|
||||
isFirst = false;
|
||||
}
|
||||
}
|
||||
|
||||
// Add to conversation history (text only for follow-ups)
|
||||
conversationMessages.push({
|
||||
role: 'user',
|
||||
content: prompt,
|
||||
});
|
||||
conversationMessages.push({
|
||||
role: 'assistant',
|
||||
content: fullResponse,
|
||||
});
|
||||
|
||||
sendToRenderer('update-status', 'Ready');
|
||||
isProcessing = false;
|
||||
|
||||
return { success: true, text: fullResponse, model: currentConfig.visionModel || currentConfig.model };
|
||||
} catch (error) {
|
||||
console.error('Vision error:', error);
|
||||
sendToRenderer('update-status', 'Error: ' + error.message);
|
||||
isProcessing = false;
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
// Process audio chunk and get response
|
||||
// This accumulates audio and transcribes when silence is detected or timer expires
|
||||
let audioChunks = [];
|
||||
let lastAudioTime = 0;
|
||||
let firstChunkTime = 0;
|
||||
const SILENCE_THRESHOLD_MS = 1500; // 1.5 seconds of silence
|
||||
const MAX_BUFFER_DURATION_MS = 5000; // 5 seconds max buffering before forced transcription
|
||||
let silenceCheckTimer = null;
|
||||
let windowsTranscriptionTimer = null;
|
||||
|
||||
async function processAudioChunk(base64Audio, mimeType) {
|
||||
if (!openaiClient) {
|
||||
return { success: false, error: 'OpenAI client not initialized' };
|
||||
}
|
||||
|
||||
const now = Date.now();
|
||||
const buffer = Buffer.from(base64Audio, 'base64');
|
||||
|
||||
// Track first chunk time for duration-based flushing
|
||||
if (audioChunks.length === 0) {
|
||||
firstChunkTime = now;
|
||||
|
||||
// Start periodic transcription timer (Windows needs this)
|
||||
if (!windowsTranscriptionTimer && process.platform === 'win32') {
|
||||
console.log('Starting Windows periodic transcription timer...');
|
||||
windowsTranscriptionTimer = setInterval(async () => {
|
||||
if (audioChunks.length > 0) {
|
||||
const bufferDuration = Date.now() - firstChunkTime;
|
||||
if (bufferDuration >= MAX_BUFFER_DURATION_MS) {
|
||||
console.log(`Periodic flush: ${bufferDuration}ms of audio buffered`);
|
||||
await flushAudioAndTranscribe();
|
||||
}
|
||||
}
|
||||
}, 2000); // Check every 2 seconds
|
||||
}
|
||||
}
|
||||
|
||||
// Add to audio buffer
|
||||
audioChunks.push(buffer);
|
||||
lastAudioTime = now;
|
||||
|
||||
// Clear existing timer
|
||||
if (silenceCheckTimer) {
|
||||
clearTimeout(silenceCheckTimer);
|
||||
}
|
||||
|
||||
// Set timer to check for silence
|
||||
silenceCheckTimer = setTimeout(async () => {
|
||||
const silenceDuration = Date.now() - lastAudioTime;
|
||||
if (silenceDuration >= SILENCE_THRESHOLD_MS && audioChunks.length > 0) {
|
||||
console.log('Silence detected, flushing audio for transcription...');
|
||||
await flushAudioAndTranscribe();
|
||||
}
|
||||
}, SILENCE_THRESHOLD_MS);
|
||||
|
||||
return { success: true, buffering: true };
|
||||
}
|
||||
|
||||
async function flushAudioAndTranscribe() {
|
||||
if (audioChunks.length === 0) {
|
||||
return { success: true, text: '' };
|
||||
}
|
||||
|
||||
// Clear Windows transcription timer
|
||||
if (windowsTranscriptionTimer) {
|
||||
clearInterval(windowsTranscriptionTimer);
|
||||
windowsTranscriptionTimer = null;
|
||||
}
|
||||
|
||||
try {
|
||||
// Combine all audio chunks
|
||||
const combinedBuffer = Buffer.concat(audioChunks);
|
||||
const chunkCount = audioChunks.length;
|
||||
audioChunks = [];
|
||||
firstChunkTime = 0;
|
||||
|
||||
// Calculate audio duration
|
||||
const bytesPerSample = 2;
|
||||
const audioDurationMs = (combinedBuffer.length / bytesPerSample / SAMPLE_RATE) * 1000;
|
||||
|
||||
console.log(`Transcribing ${chunkCount} chunks (${audioDurationMs.toFixed(0)}ms of audio)...`);
|
||||
|
||||
// Transcribe
|
||||
const transcription = await transcribeAudio(combinedBuffer);
|
||||
|
||||
if (transcription && transcription.trim()) {
|
||||
console.log('Transcription result:', transcription);
|
||||
// Send to chat
|
||||
const response = await sendTextMessage(transcription);
|
||||
|
||||
return {
|
||||
success: true,
|
||||
transcription: transcription,
|
||||
response: response.text,
|
||||
};
|
||||
}
|
||||
|
||||
return { success: true, text: '' };
|
||||
} catch (error) {
|
||||
console.error('Flush audio error:', error);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
function clearConversation() {
|
||||
const systemMessage = conversationMessages.find(m => m.role === 'system');
|
||||
conversationMessages = systemMessage ? [systemMessage] : [];
|
||||
audioChunks = [];
|
||||
|
||||
// Clear timers
|
||||
if (silenceCheckTimer) {
|
||||
clearTimeout(silenceCheckTimer);
|
||||
silenceCheckTimer = null;
|
||||
}
|
||||
if (windowsTranscriptionTimer) {
|
||||
clearInterval(windowsTranscriptionTimer);
|
||||
windowsTranscriptionTimer = null;
|
||||
}
|
||||
}
|
||||
|
||||
function closeOpenAISDK() {
|
||||
stopMacOSAudioCapture();
|
||||
openaiClient = null;
|
||||
currentConfig = null;
|
||||
conversationMessages = [];
|
||||
audioChunks = [];
|
||||
isProcessing = false;
|
||||
|
||||
// Clear timers
|
||||
if (silenceCheckTimer) {
|
||||
clearTimeout(silenceCheckTimer);
|
||||
silenceCheckTimer = null;
|
||||
}
|
||||
if (windowsTranscriptionTimer) {
|
||||
clearInterval(windowsTranscriptionTimer);
|
||||
windowsTranscriptionTimer = null;
|
||||
}
|
||||
|
||||
sendToRenderer('update-status', 'Disconnected');
|
||||
}
|
||||
|
||||
// ============ macOS Audio Capture ============
|
||||
|
||||
async function killExistingSystemAudioDump() {
|
||||
return new Promise(resolve => {
|
||||
const { exec } = require('child_process');
|
||||
exec('pkill -f SystemAudioDump', error => {
|
||||
// Ignore errors (process might not exist)
|
||||
setTimeout(resolve, 100);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
function convertStereoToMono(stereoBuffer) {
|
||||
const samples = stereoBuffer.length / 4;
|
||||
const monoBuffer = Buffer.alloc(samples * 2);
|
||||
|
||||
for (let i = 0; i < samples; i++) {
|
||||
const leftSample = stereoBuffer.readInt16LE(i * 4);
|
||||
monoBuffer.writeInt16LE(leftSample, i * 2);
|
||||
}
|
||||
|
||||
return monoBuffer;
|
||||
}
|
||||
|
||||
// Calculate RMS (Root Mean Square) volume level of audio buffer
|
||||
function calculateRMS(buffer) {
|
||||
const samples = buffer.length / 2;
|
||||
if (samples === 0) return 0;
|
||||
|
||||
let sumSquares = 0;
|
||||
for (let i = 0; i < samples; i++) {
|
||||
const sample = buffer.readInt16LE(i * 2);
|
||||
sumSquares += sample * sample;
|
||||
}
|
||||
|
||||
return Math.sqrt(sumSquares / samples);
|
||||
}
|
||||
|
||||
// Check if audio contains speech (simple VAD based on volume threshold)
|
||||
function hasSpeech(buffer, threshold = 500) {
|
||||
const rms = calculateRMS(buffer);
|
||||
return rms > threshold;
|
||||
}
|
||||
|
||||
async function transcribeBufferedAudio() {
|
||||
if (audioBuffer.length === 0 || isProcessing) {
|
||||
return;
|
||||
}
|
||||
|
||||
// Calculate audio duration
|
||||
const bytesPerSample = 2;
|
||||
const audioDurationMs = (audioBuffer.length / bytesPerSample / SAMPLE_RATE) * 1000;
|
||||
|
||||
if (audioDurationMs < MIN_AUDIO_DURATION_MS) {
|
||||
return; // Not enough audio
|
||||
}
|
||||
|
||||
// Check if there's actual speech in the audio (Voice Activity Detection)
|
||||
if (!hasSpeech(audioBuffer)) {
|
||||
// Clear buffer if it's just silence/noise
|
||||
audioBuffer = Buffer.alloc(0);
|
||||
return;
|
||||
}
|
||||
|
||||
// Take current buffer and reset
|
||||
const currentBuffer = audioBuffer;
|
||||
audioBuffer = Buffer.alloc(0);
|
||||
|
||||
try {
|
||||
console.log(`Transcribing ${audioDurationMs.toFixed(0)}ms of audio...`);
|
||||
sendToRenderer('update-status', 'Transcribing...');
|
||||
|
||||
const transcription = await transcribeAudio(currentBuffer, 'audio/wav');
|
||||
|
||||
if (transcription && transcription.trim() && transcription.trim().length > 2) {
|
||||
console.log('Transcription:', transcription);
|
||||
sendToRenderer('update-status', 'Processing...');
|
||||
|
||||
// Send to chat
|
||||
await sendTextMessage(transcription);
|
||||
}
|
||||
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
} catch (error) {
|
||||
console.error('Transcription error:', error);
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
}
|
||||
}
|
||||
|
||||
async function startMacOSAudioCapture() {
|
||||
if (process.platform !== 'darwin') return false;
|
||||
|
||||
// Kill any existing SystemAudioDump processes first
|
||||
await killExistingSystemAudioDump();
|
||||
|
||||
console.log('=== Starting macOS audio capture (OpenAI SDK) ===');
|
||||
sendToRenderer('update-status', 'Starting audio capture...');
|
||||
|
||||
const { app } = require('electron');
|
||||
const fs = require('fs');
|
||||
|
||||
let systemAudioPath;
|
||||
if (app.isPackaged) {
|
||||
systemAudioPath = path.join(process.resourcesPath, 'SystemAudioDump');
|
||||
} else {
|
||||
systemAudioPath = path.join(__dirname, '../assets', 'SystemAudioDump');
|
||||
}
|
||||
|
||||
console.log('SystemAudioDump config:', {
|
||||
path: systemAudioPath,
|
||||
isPackaged: app.isPackaged,
|
||||
resourcesPath: process.resourcesPath,
|
||||
exists: fs.existsSync(systemAudioPath),
|
||||
});
|
||||
|
||||
// Check if file exists
|
||||
if (!fs.existsSync(systemAudioPath)) {
|
||||
console.error('FATAL: SystemAudioDump not found at:', systemAudioPath);
|
||||
sendToRenderer('update-status', 'Error: Audio binary not found');
|
||||
return false;
|
||||
}
|
||||
|
||||
// Check and fix executable permissions
|
||||
try {
|
||||
fs.accessSync(systemAudioPath, fs.constants.X_OK);
|
||||
console.log('SystemAudioDump is executable');
|
||||
} catch (err) {
|
||||
console.warn('SystemAudioDump not executable, fixing permissions...');
|
||||
try {
|
||||
fs.chmodSync(systemAudioPath, 0o755);
|
||||
console.log('Fixed executable permissions');
|
||||
} catch (chmodErr) {
|
||||
console.error('Failed to fix permissions:', chmodErr);
|
||||
sendToRenderer('update-status', 'Error: Cannot execute audio binary');
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
const spawnOptions = {
|
||||
stdio: ['ignore', 'pipe', 'pipe'],
|
||||
env: {
|
||||
...process.env,
|
||||
},
|
||||
};
|
||||
|
||||
console.log('Spawning SystemAudioDump...');
|
||||
systemAudioProc = spawn(systemAudioPath, [], spawnOptions);
|
||||
|
||||
if (!systemAudioProc.pid) {
|
||||
console.error('FATAL: Failed to start SystemAudioDump - no PID');
|
||||
sendToRenderer('update-status', 'Error: Audio capture failed to start');
|
||||
return false;
|
||||
}
|
||||
|
||||
console.log('SystemAudioDump started with PID:', systemAudioProc.pid);
|
||||
|
||||
const CHUNK_DURATION = 0.1;
|
||||
const BYTES_PER_SAMPLE = 2;
|
||||
const CHANNELS = 2;
|
||||
const CHUNK_SIZE = SAMPLE_RATE * BYTES_PER_SAMPLE * CHANNELS * CHUNK_DURATION;
|
||||
|
||||
let tempBuffer = Buffer.alloc(0);
|
||||
let chunkCount = 0;
|
||||
let firstDataReceived = false;
|
||||
|
||||
systemAudioProc.stdout.on('data', data => {
|
||||
if (!firstDataReceived) {
|
||||
firstDataReceived = true;
|
||||
console.log('First audio data received! Size:', data.length);
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
}
|
||||
|
||||
tempBuffer = Buffer.concat([tempBuffer, data]);
|
||||
|
||||
while (tempBuffer.length >= CHUNK_SIZE) {
|
||||
const chunk = tempBuffer.slice(0, CHUNK_SIZE);
|
||||
tempBuffer = tempBuffer.slice(CHUNK_SIZE);
|
||||
|
||||
// Convert stereo to mono
|
||||
const monoChunk = CHANNELS === 2 ? convertStereoToMono(chunk) : chunk;
|
||||
|
||||
// Add to audio buffer for transcription
|
||||
audioBuffer = Buffer.concat([audioBuffer, monoChunk]);
|
||||
|
||||
chunkCount++;
|
||||
if (chunkCount % 100 === 0) {
|
||||
console.log(`Audio: ${chunkCount} chunks processed, buffer size: ${audioBuffer.length}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Limit buffer size (max 30 seconds of audio)
|
||||
const maxBufferSize = SAMPLE_RATE * BYTES_PER_SAMPLE * 30;
|
||||
if (audioBuffer.length > maxBufferSize) {
|
||||
audioBuffer = audioBuffer.slice(-maxBufferSize);
|
||||
}
|
||||
});
|
||||
|
||||
systemAudioProc.stderr.on('data', data => {
|
||||
const msg = data.toString();
|
||||
console.error('SystemAudioDump stderr:', msg);
|
||||
if (msg.toLowerCase().includes('error')) {
|
||||
sendToRenderer('update-status', 'Audio error: ' + msg.substring(0, 50));
|
||||
}
|
||||
});
|
||||
|
||||
systemAudioProc.on('close', (code, signal) => {
|
||||
console.log('SystemAudioDump closed:', { code, signal, chunksProcessed: chunkCount, tempBufferSize: tempBuffer.length });
|
||||
if (code !== 0 && code !== null) {
|
||||
sendToRenderer('update-status', `Audio stopped (exit: ${code}, signal: ${signal})`);
|
||||
}
|
||||
systemAudioProc = null;
|
||||
stopTranscriptionTimer();
|
||||
});
|
||||
|
||||
systemAudioProc.on('error', err => {
|
||||
console.error('SystemAudioDump spawn error:', err.message, err.stack);
|
||||
sendToRenderer('update-status', 'Audio error: ' + err.message);
|
||||
systemAudioProc = null;
|
||||
stopTranscriptionTimer();
|
||||
});
|
||||
|
||||
systemAudioProc.on('exit', (code, signal) => {
|
||||
console.log('SystemAudioDump exit event:', { code, signal });
|
||||
});
|
||||
|
||||
// Start periodic transcription
|
||||
startTranscriptionTimer();
|
||||
|
||||
sendToRenderer('update-status', 'Listening...');
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
function startTranscriptionTimer() {
|
||||
stopTranscriptionTimer();
|
||||
transcriptionTimer = setInterval(transcribeBufferedAudio, TRANSCRIPTION_INTERVAL_MS);
|
||||
}
|
||||
|
||||
function stopTranscriptionTimer() {
|
||||
if (transcriptionTimer) {
|
||||
clearInterval(transcriptionTimer);
|
||||
transcriptionTimer = null;
|
||||
}
|
||||
}
|
||||
|
||||
function stopMacOSAudioCapture() {
|
||||
stopTranscriptionTimer();
|
||||
|
||||
if (systemAudioProc) {
|
||||
console.log('Stopping SystemAudioDump for OpenAI SDK...');
|
||||
systemAudioProc.kill('SIGTERM');
|
||||
systemAudioProc = null;
|
||||
}
|
||||
|
||||
audioBuffer = Buffer.alloc(0);
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
initializeOpenAISDK,
|
||||
setSystemPrompt,
|
||||
transcribeAudio,
|
||||
sendTextMessage,
|
||||
sendImageMessage,
|
||||
processAudioChunk,
|
||||
flushAudioAndTranscribe,
|
||||
clearConversation,
|
||||
closeOpenAISDK,
|
||||
startMacOSAudioCapture,
|
||||
stopMacOSAudioCapture,
|
||||
};
|
||||
+109
-141
@@ -1,21 +1,45 @@
|
||||
const profilePrompts = {
|
||||
interview: {
|
||||
intro: `You are an AI-powered interview assistant, designed to act as a discreet on-screen teleprompter. Your mission is to help the user excel in their job interview by providing concise, impactful, and ready-to-speak answers or key talking points. Analyze the ongoing interview dialogue and, crucially, the 'User-provided context' below.`,
|
||||
|
||||
formatRequirements: `**RESPONSE FORMAT REQUIREMENTS:**
|
||||
const responseModeFormats = {
|
||||
brief: `**RESPONSE FORMAT REQUIREMENTS:**
|
||||
- Keep responses SHORT and CONCISE (1-3 sentences max)
|
||||
- Use **markdown formatting** for better readability
|
||||
- Use **bold** for key points and emphasis
|
||||
- Use bullet points (-) for lists when appropriate
|
||||
- Focus on the most essential information only`,
|
||||
- Focus on the most essential information only
|
||||
- EXCEPTION: If a coding/algorithm task is detected, ALWAYS provide the complete working code (see CODING TASKS below)`,
|
||||
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
detailed: `**RESPONSE FORMAT REQUIREMENTS:**
|
||||
- Provide a THOROUGH and COMPREHENSIVE response with full explanations
|
||||
- Use **markdown formatting** for better readability
|
||||
- Use **bold** for key points and emphasis
|
||||
- Use headers (##) to organize sections when appropriate
|
||||
- Use bullet points (-) for lists when appropriate
|
||||
- Include relevant context, edge cases, and reasoning
|
||||
- For technical topics, explain the "why" behind each point
|
||||
- No length restriction — be as detailed as needed to fully answer the question`,
|
||||
};
|
||||
|
||||
const codingAwareness = `**CODING TASKS — CRITICAL INSTRUCTION:**
|
||||
When the interviewer/questioner asks to solve a coding problem, implement an algorithm, debug code, do a live coding exercise, open an IDE and write code, or any task that requires a code solution:
|
||||
- You MUST provide the ACTUAL COMPLETE WORKING CODE SOLUTION
|
||||
- NEVER respond with meta-advice like "now you should write code" or "prepare to implement" or "think about the approach"
|
||||
- NEVER say "open your IDE" or "start coding" — instead, GIVE THE CODE
|
||||
- In brief mode: provide 2-3 bullet approach points, then the FULL working code with comments
|
||||
- In detailed mode: explain approach, time/space complexity, edge cases, then the FULL working code with comments
|
||||
- Include the programming language name in the code fence (e.g. \`\`\`python, \`\`\`javascript)
|
||||
- If the language is not specified, default to Python
|
||||
- The code must be complete, runnable, and correct`;
|
||||
|
||||
const profilePrompts = {
|
||||
interview: {
|
||||
intro: `You are an AI-powered interview assistant, designed to act as a discreet on-screen teleprompter. Your mission is to help the user excel in their job interview by providing concise, impactful, and ready-to-speak answers or key talking points. Analyze the ongoing interview dialogue and, crucially, the 'User-provided context' below.`,
|
||||
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
- If the interviewer mentions **recent events, news, or current trends** (anything from the last 6 months), **ALWAYS use Google search** to get up-to-date information
|
||||
- If they ask about **company-specific information, recent acquisitions, funding, or leadership changes**, use Google search first
|
||||
- If they mention **new technologies, frameworks, or industry developments**, search for the latest information
|
||||
- After searching, provide a **concise, informed response** based on the real-time data`,
|
||||
|
||||
content: `Focus on delivering the most essential information the user needs. Your suggestions should be direct and immediately usable.
|
||||
content: `Focus on delivering the most essential information the user needs. Your suggestions should be direct and immediately usable.
|
||||
|
||||
To help the user 'crack' the interview in their specific field:
|
||||
1. Heavily rely on the 'User-provided context' (e.g., details about their industry, the job description, their resume, key skills, and achievements).
|
||||
@@ -32,27 +56,20 @@ You: "I've been working with React for 4 years, building everything from simple
|
||||
Interviewer: "Why do you want to work here?"
|
||||
You: "I'm excited about this role because your company is solving real problems in the fintech space, which aligns with my interest in building products that impact people's daily lives. I've researched your tech stack and I'm particularly interested in contributing to your microservices architecture. Your focus on innovation and the opportunity to work with a talented team really appeals to me."`,
|
||||
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
Provide only the exact words to say in **markdown format**. No coaching, no "you should" statements, no explanations - just the direct response the candidate can speak immediately. Keep it **short and impactful**.`,
|
||||
},
|
||||
},
|
||||
|
||||
sales: {
|
||||
intro: `You are a sales call assistant. Your job is to provide the exact words the salesperson should say to prospects during sales calls. Give direct, ready-to-speak responses that are persuasive and professional.`,
|
||||
sales: {
|
||||
intro: `You are a sales call assistant. Your job is to provide the exact words the salesperson should say to prospects during sales calls. Give direct, ready-to-speak responses that are persuasive and professional.`,
|
||||
|
||||
formatRequirements: `**RESPONSE FORMAT REQUIREMENTS:**
|
||||
- Keep responses SHORT and CONCISE (1-3 sentences max)
|
||||
- Use **markdown formatting** for better readability
|
||||
- Use **bold** for key points and emphasis
|
||||
- Use bullet points (-) for lists when appropriate
|
||||
- Focus on the most essential information only`,
|
||||
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
- If the prospect mentions **recent industry trends, market changes, or current events**, **ALWAYS use Google search** to get up-to-date information
|
||||
- If they reference **competitor information, recent funding news, or market data**, search for the latest information first
|
||||
- If they ask about **new regulations, industry reports, or recent developments**, use search to provide accurate data
|
||||
- After searching, provide a **concise, informed response** that demonstrates current market knowledge`,
|
||||
|
||||
content: `Examples:
|
||||
content: `Examples:
|
||||
|
||||
Prospect: "Tell me about your product"
|
||||
You: "Our platform helps companies like yours reduce operational costs by 30% while improving efficiency. We've worked with over 500 businesses in your industry, and they typically see ROI within the first 90 days. What specific operational challenges are you facing right now?"
|
||||
@@ -63,27 +80,20 @@ You: "Three key differentiators set us apart: First, our implementation takes ju
|
||||
Prospect: "I need to think about it"
|
||||
You: "I completely understand this is an important decision. What specific concerns can I address for you today? Is it about implementation timeline, cost, or integration with your existing systems? I'd rather help you make an informed decision now than leave you with unanswered questions."`,
|
||||
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
Provide only the exact words to say in **markdown format**. Be persuasive but not pushy. Focus on value and addressing objections directly. Keep responses **short and impactful**.`,
|
||||
},
|
||||
},
|
||||
|
||||
meeting: {
|
||||
intro: `You are a meeting assistant. Your job is to provide the exact words to say during professional meetings, presentations, and discussions. Give direct, ready-to-speak responses that are clear and professional.`,
|
||||
meeting: {
|
||||
intro: `You are a meeting assistant. Your job is to provide the exact words to say during professional meetings, presentations, and discussions. Give direct, ready-to-speak responses that are clear and professional.`,
|
||||
|
||||
formatRequirements: `**RESPONSE FORMAT REQUIREMENTS:**
|
||||
- Keep responses SHORT and CONCISE (1-3 sentences max)
|
||||
- Use **markdown formatting** for better readability
|
||||
- Use **bold** for key points and emphasis
|
||||
- Use bullet points (-) for lists when appropriate
|
||||
- Focus on the most essential information only`,
|
||||
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
- If participants mention **recent industry news, regulatory changes, or market updates**, **ALWAYS use Google search** for current information
|
||||
- If they reference **competitor activities, recent reports, or current statistics**, search for the latest data first
|
||||
- If they discuss **new technologies, tools, or industry developments**, use search to provide accurate insights
|
||||
- After searching, provide a **concise, informed response** that adds value to the discussion`,
|
||||
|
||||
content: `Examples:
|
||||
content: `Examples:
|
||||
|
||||
Participant: "What's the status on the project?"
|
||||
You: "We're currently on track to meet our deadline. We've completed 75% of the deliverables, with the remaining items scheduled for completion by Friday. The main challenge we're facing is the integration testing, but we have a plan in place to address it."
|
||||
@@ -94,27 +104,20 @@ You: "Absolutely. We're currently at 80% of our allocated budget with 20% of the
|
||||
Participant: "What are the next steps?"
|
||||
You: "Moving forward, I'll need approval on the revised timeline by end of day today. Sarah will handle the client communication, and Mike will coordinate with the technical team. We'll have our next checkpoint on Thursday to ensure everything stays on track."`,
|
||||
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
Provide only the exact words to say in **markdown format**. Be clear, concise, and action-oriented in your responses. Keep it **short and impactful**.`,
|
||||
},
|
||||
},
|
||||
|
||||
presentation: {
|
||||
intro: `You are a presentation coach. Your job is to provide the exact words the presenter should say during presentations, pitches, and public speaking events. Give direct, ready-to-speak responses that are engaging and confident.`,
|
||||
presentation: {
|
||||
intro: `You are a presentation coach. Your job is to provide the exact words the presenter should say during presentations, pitches, and public speaking events. Give direct, ready-to-speak responses that are engaging and confident.`,
|
||||
|
||||
formatRequirements: `**RESPONSE FORMAT REQUIREMENTS:**
|
||||
- Keep responses SHORT and CONCISE (1-3 sentences max)
|
||||
- Use **markdown formatting** for better readability
|
||||
- Use **bold** for key points and emphasis
|
||||
- Use bullet points (-) for lists when appropriate
|
||||
- Focus on the most essential information only`,
|
||||
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
- If the audience asks about **recent market trends, current statistics, or latest industry data**, **ALWAYS use Google search** for up-to-date information
|
||||
- If they reference **recent events, new competitors, or current market conditions**, search for the latest information first
|
||||
- If they inquire about **recent studies, reports, or breaking news** in your field, use search to provide accurate data
|
||||
- After searching, provide a **concise, credible response** with current facts and figures`,
|
||||
|
||||
content: `Examples:
|
||||
content: `Examples:
|
||||
|
||||
Audience: "Can you explain that slide again?"
|
||||
You: "Of course. This slide shows our three-year growth trajectory. The blue line represents revenue, which has grown 150% year over year. The orange bars show our customer acquisition, doubling each year. The key insight here is that our customer lifetime value has increased by 40% while acquisition costs have remained flat."
|
||||
@@ -125,27 +128,20 @@ You: "Great question. Our competitive advantage comes down to three core strengt
|
||||
Audience: "How do you plan to scale?"
|
||||
You: "Our scaling strategy focuses on three pillars. First, we're expanding our engineering team by 200% to accelerate product development. Second, we're entering three new markets next quarter. Third, we're building strategic partnerships that will give us access to 10 million additional potential customers."`,
|
||||
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
Provide only the exact words to say in **markdown format**. Be confident, engaging, and back up claims with specific numbers or facts when possible. Keep responses **short and impactful**.`,
|
||||
},
|
||||
},
|
||||
|
||||
negotiation: {
|
||||
intro: `You are a negotiation assistant. Your job is to provide the exact words to say during business negotiations, contract discussions, and deal-making conversations. Give direct, ready-to-speak responses that are strategic and professional.`,
|
||||
negotiation: {
|
||||
intro: `You are a negotiation assistant. Your job is to provide the exact words to say during business negotiations, contract discussions, and deal-making conversations. Give direct, ready-to-speak responses that are strategic and professional.`,
|
||||
|
||||
formatRequirements: `**RESPONSE FORMAT REQUIREMENTS:**
|
||||
- Keep responses SHORT and CONCISE (1-3 sentences max)
|
||||
- Use **markdown formatting** for better readability
|
||||
- Use **bold** for key points and emphasis
|
||||
- Use bullet points (-) for lists when appropriate
|
||||
- Focus on the most essential information only`,
|
||||
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
- If they mention **recent market pricing, current industry standards, or competitor offers**, **ALWAYS use Google search** for current benchmarks
|
||||
- If they reference **recent legal changes, new regulations, or market conditions**, search for the latest information first
|
||||
- If they discuss **recent company news, financial performance, or industry developments**, use search to provide informed responses
|
||||
- After searching, provide a **strategic, well-informed response** that leverages current market intelligence`,
|
||||
|
||||
content: `Examples:
|
||||
content: `Examples:
|
||||
|
||||
Other party: "That price is too high"
|
||||
You: "I understand your concern about the investment. Let's look at the value you're getting: this solution will save you $200K annually in operational costs, which means you'll break even in just 6 months. Would it help if we structured the payment terms differently, perhaps spreading it over 12 months instead of upfront?"
|
||||
@@ -156,27 +152,20 @@ You: "I appreciate your directness. We want this to work for both parties. Our c
|
||||
Other party: "We're considering other options"
|
||||
You: "That's smart business practice. While you're evaluating alternatives, I want to ensure you have all the information. Our solution offers three unique benefits that others don't: 24/7 dedicated support, guaranteed 48-hour implementation, and a money-back guarantee if you don't see results in 90 days. How important are these factors in your decision?"`,
|
||||
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
Provide only the exact words to say in **markdown format**. Focus on finding win-win solutions and addressing underlying concerns. Keep responses **short and impactful**.`,
|
||||
},
|
||||
},
|
||||
|
||||
exam: {
|
||||
intro: `You are an exam assistant designed to help students pass tests efficiently. Your role is to provide direct, accurate answers to exam questions with minimal explanation - just enough to confirm the answer is correct.`,
|
||||
exam: {
|
||||
intro: `You are an exam assistant designed to help students pass tests efficiently. Your role is to provide direct, accurate answers to exam questions with minimal explanation - just enough to confirm the answer is correct.`,
|
||||
|
||||
formatRequirements: `**RESPONSE FORMAT REQUIREMENTS:**
|
||||
- Keep responses SHORT and CONCISE (1-2 sentences max)
|
||||
- Use **markdown formatting** for better readability
|
||||
- Use **bold** for the answer choice/result
|
||||
- Focus on the most essential information only
|
||||
- Provide only brief justification for correctness`,
|
||||
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
searchUsage: `**SEARCH TOOL USAGE:**
|
||||
- If the question involves **recent information, current events, or updated facts**, **ALWAYS use Google search** for the latest data
|
||||
- If they reference **specific dates, statistics, or factual information** that might be outdated, search for current information
|
||||
- If they ask about **recent research, new theories, or updated methodologies**, search for the latest information
|
||||
- After searching, provide **direct, accurate answers** with minimal explanation`,
|
||||
|
||||
content: `Focus on providing efficient exam assistance that helps students pass tests quickly.
|
||||
content: `Focus on providing efficient exam assistance that helps students pass tests quickly.
|
||||
|
||||
**Key Principles:**
|
||||
1. **Answer the question directly** - no unnecessary explanations
|
||||
@@ -196,83 +185,62 @@ You: "**Question**: Which of the following is a primary color? A) Green B) Red C
|
||||
Question: "Solve for x: 2x + 5 = 13"
|
||||
You: "**Question**: Solve for x: 2x + 5 = 13 **Answer**: x = 4 **Why**: Subtract 5 from both sides: 2x = 8, then divide by 2: x = 4."`,
|
||||
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
outputInstructions: `**OUTPUT INSTRUCTIONS:**
|
||||
Provide direct exam answers in **markdown format**. Include the question text, the correct answer choice, and a brief justification. Focus on efficiency and accuracy. Keep responses **short and to the point**.`,
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
function buildSystemPrompt(promptParts, customPrompt = '', googleSearchEnabled = true) {
|
||||
const sections = [promptParts.intro, '\n\n', promptParts.formatRequirements];
|
||||
function buildSystemPrompt(
|
||||
promptParts,
|
||||
customPrompt = "",
|
||||
googleSearchEnabled = true,
|
||||
responseMode = "brief",
|
||||
) {
|
||||
const formatReqs =
|
||||
responseModeFormats[responseMode] || responseModeFormats.brief;
|
||||
const sections = [
|
||||
promptParts.intro,
|
||||
"\n\n",
|
||||
formatReqs,
|
||||
"\n\n",
|
||||
codingAwareness,
|
||||
];
|
||||
|
||||
// Only add search usage section if Google Search is enabled
|
||||
if (googleSearchEnabled) {
|
||||
sections.push('\n\n', promptParts.searchUsage);
|
||||
}
|
||||
// Only add search usage section if Google Search is enabled
|
||||
if (googleSearchEnabled) {
|
||||
sections.push("\n\n", promptParts.searchUsage);
|
||||
}
|
||||
|
||||
sections.push('\n\n', promptParts.content, '\n\nUser-provided context\n-----\n', customPrompt, '\n-----\n\n', promptParts.outputInstructions);
|
||||
sections.push(
|
||||
"\n\n",
|
||||
promptParts.content,
|
||||
"\n\nUser-provided context\n-----\n",
|
||||
customPrompt,
|
||||
"\n-----\n\n",
|
||||
promptParts.outputInstructions,
|
||||
);
|
||||
|
||||
return sections.join('');
|
||||
return sections.join("");
|
||||
}
|
||||
|
||||
function getSystemPrompt(profile, customPrompt = '', googleSearchEnabled = true) {
|
||||
const promptParts = profilePrompts[profile] || profilePrompts.interview;
|
||||
return buildSystemPrompt(promptParts, customPrompt, googleSearchEnabled);
|
||||
function getSystemPrompt(
|
||||
profile,
|
||||
customPrompt = "",
|
||||
googleSearchEnabled = true,
|
||||
responseMode = "brief",
|
||||
) {
|
||||
const promptParts = profilePrompts[profile] || profilePrompts.interview;
|
||||
return buildSystemPrompt(
|
||||
promptParts,
|
||||
customPrompt,
|
||||
googleSearchEnabled,
|
||||
responseMode,
|
||||
);
|
||||
}
|
||||
|
||||
// Comprehensive prompt for Vision/Image analysis
|
||||
const VISION_ANALYSIS_PROMPT = `You are an expert AI assistant analyzing a screenshot. Your task is to understand what the user needs help with and provide the most useful response.
|
||||
|
||||
**ANALYSIS APPROACH:**
|
||||
1. First, identify what's shown on the screen (code editor, math problem, website, document, exam, etc.)
|
||||
2. Determine what the user likely needs (explanation, solution, answer, debugging help, etc.)
|
||||
3. Provide a direct, actionable response
|
||||
|
||||
**RESPONSE GUIDELINES BY CONTEXT:**
|
||||
|
||||
**If it's CODE (LeetCode, HackerRank, coding interview, IDE):**
|
||||
- Identify the programming language and problem type
|
||||
- Provide a brief explanation of the approach (2-3 bullet points max)
|
||||
- Give the complete, working code solution
|
||||
- Include time/space complexity if relevant
|
||||
- If there's an error, explain the fix
|
||||
|
||||
**If it's MATH or SCIENCE:**
|
||||
- Show step-by-step solution
|
||||
- Use proper mathematical notation with LaTeX ($..$ for inline, $$...$$ for blocks)
|
||||
- Provide the final answer clearly marked
|
||||
- Include any relevant formulas used
|
||||
|
||||
**If it's MCQ/EXAM/QUIZ:**
|
||||
- State the correct answer immediately and clearly (e.g., "**Answer: B**")
|
||||
- Provide brief justification (1-2 sentences)
|
||||
- If multiple questions visible, answer all of them
|
||||
|
||||
**If it's a DOCUMENT/ARTICLE/WEBSITE:**
|
||||
- Summarize the key information
|
||||
- Answer any specific questions if apparent
|
||||
- Highlight important points
|
||||
|
||||
**If it's a FORM/APPLICATION:**
|
||||
- Help fill in the required information
|
||||
- Suggest appropriate responses
|
||||
- Point out any issues or missing fields
|
||||
|
||||
**If it's an ERROR/DEBUG scenario:**
|
||||
- Identify the error type and cause
|
||||
- Provide the fix immediately
|
||||
- Explain briefly why it occurred
|
||||
|
||||
**FORMAT REQUIREMENTS:**
|
||||
- Use **markdown** for formatting
|
||||
- Use **bold** for key answers and important points
|
||||
- Use code blocks with language specification for code
|
||||
- Be concise but complete - no unnecessary explanations
|
||||
- No pleasantries or filler text - get straight to the answer
|
||||
|
||||
**CRITICAL:** Provide the complete answer. Don't ask for clarification - make reasonable assumptions and deliver value immediately.`;
|
||||
|
||||
module.exports = {
|
||||
profilePrompts,
|
||||
getSystemPrompt,
|
||||
VISION_ANALYSIS_PROMPT,
|
||||
profilePrompts,
|
||||
responseModeFormats,
|
||||
codingAwareness,
|
||||
getSystemPrompt,
|
||||
};
|
||||
|
||||
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Reference in New Issue
Block a user