chore: recovery checkpoint - v3.0 API successfully recovered

CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB

Recovery Status:
- Successfully recovered brainy.ts from compiled JavaScript
- All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.)
- Neural subsystem intact (562KB embedded patterns, NLP working)
- Augmentation pipeline operational (20+ augmentations)
- HNSW clustering system complete
- Triple Intelligence compiled (needs constructor fix)
- Test suite validates functionality

Changes preserved:
- 898 files with changes from last 3 days
- 144,475 insertions
- All augmentation improvements
- All test coverage enhancements
- Complete v3.0 feature set

This is a LOCAL checkpoint only - contains recovered work after corruption incident.
Created backup in .backups/brainy-full-20250910-151314.tar.gz

Branch: recovery-checkpoint-20250910-151433
Date: Wed Sep 10 03:18:04 PM PDT 2025
This commit is contained in:
David Snelling 2025-09-10 15:18:04 -07:00
parent f65455fb22
commit 8ff382ca3b
895 changed files with 143654 additions and 28268 deletions

View file

@ -0,0 +1,245 @@
/**
* Model Manager - Ensures transformer models are available at runtime
*
* Strategy (in order):
* 1. Check local cache first (instant)
* 2. Try Soulcraft CDN (fastest when available)
* 3. Try GitHub release tar.gz with extraction (reliable backup)
* 4. Fall back to Hugging Face (always works)
*
* NO USER CONFIGURATION REQUIRED - Everything is automatic!
*/
import { existsSync } from 'fs';
import { mkdir, writeFile } from 'fs/promises';
import { join } from 'path';
import { env } from '@huggingface/transformers';
// Model sources in order of preference
const MODEL_SOURCES = {
// CDN - Fastest when available (currently active)
cdn: {
host: 'https://models.soulcraft.com/models',
pathTemplate: '{model}/', // e.g., Xenova/all-MiniLM-L6-v2/
testFile: 'config.json' // File to test availability
},
// GitHub Release - tar.gz fallback (already exists and works)
githubRelease: {
tarUrl: 'https://github.com/soulcraftlabs/brainy/releases/download/models-v1/all-MiniLM-L6-v2.tar.gz'
},
// Original Hugging Face - final fallback (always works)
huggingface: {
host: 'https://huggingface.co',
pathTemplate: '{model}/resolve/{revision}/' // Default transformers.js pattern
}
};
// Model verification files - BOTH fp32 and q8 variants
const REQUIRED_FILES = [
'config.json',
'tokenizer.json',
'tokenizer_config.json'
];
const MODEL_VARIANTS = {
fp32: 'onnx/model.onnx',
q8: 'onnx/model_quantized.onnx'
};
export class ModelManager {
constructor() {
this.isInitialized = false;
// Determine models path
this.modelsPath = this.getModelsPath();
}
static getInstance() {
if (!ModelManager.instance) {
ModelManager.instance = new ModelManager();
}
return ModelManager.instance;
}
getModelsPath() {
// Check various possible locations
const paths = [
process.env.BRAINY_MODELS_PATH,
'./models',
join(process.cwd(), 'models'),
join(process.env.HOME || '', '.brainy', 'models'),
env.cacheDir
];
// Find first existing path or use default
for (const path of paths) {
if (path && existsSync(path)) {
return path;
}
}
// Default to local models directory
return join(process.cwd(), 'models');
}
async ensureModels(modelName = 'Xenova/all-MiniLM-L6-v2') {
if (this.isInitialized) {
return true;
}
// Configure transformers.js environment
env.cacheDir = this.modelsPath;
env.allowLocalModels = true;
env.useFSCache = true;
// Check if model already exists locally
const modelPath = join(this.modelsPath, ...modelName.split('/'));
if (await this.verifyModelFiles(modelPath)) {
console.log('✅ Models found in cache:', modelPath);
env.allowRemoteModels = false; // Use local only
this.isInitialized = true;
return true;
}
// Try to download from our sources
console.log('📥 Downloading transformer models...');
// Try CDN first (fastest when available)
if (await this.tryModelSource('Soulcraft CDN', MODEL_SOURCES.cdn, modelName)) {
this.isInitialized = true;
return true;
}
// Try GitHub release with tar.gz extraction (reliable backup)
if (await this.downloadAndExtractFromGitHub(modelName)) {
this.isInitialized = true;
return true;
}
// Fall back to Hugging Face (always works)
console.log('⚠️ Using Hugging Face fallback for models');
env.remoteHost = MODEL_SOURCES.huggingface.host;
env.remotePathTemplate = MODEL_SOURCES.huggingface.pathTemplate;
env.allowRemoteModels = true;
this.isInitialized = true;
return true;
}
async verifyModelFiles(modelPath) {
// Check if essential files exist
for (const file of REQUIRED_FILES) {
const fullPath = join(modelPath, file);
if (!existsSync(fullPath)) {
return false;
}
}
// At least one model variant must exist (fp32 or q8)
const fp32Exists = existsSync(join(modelPath, MODEL_VARIANTS.fp32));
const q8Exists = existsSync(join(modelPath, MODEL_VARIANTS.q8));
return fp32Exists || q8Exists;
}
/**
* Check which model variants are available locally
*/
getAvailableModels(modelName = 'Xenova/all-MiniLM-L6-v2') {
const modelPath = join(this.modelsPath, modelName);
return {
fp32: existsSync(join(modelPath, MODEL_VARIANTS.fp32)),
q8: existsSync(join(modelPath, MODEL_VARIANTS.q8))
};
}
/**
* Get the best available model variant based on preference and availability
*/
getBestAvailableModel(preferredType = 'fp32', modelName = 'Xenova/all-MiniLM-L6-v2') {
const available = this.getAvailableModels(modelName);
// If preferred type is available, use it
if (available[preferredType]) {
return preferredType;
}
// Otherwise fall back to what's available
if (preferredType === 'q8' && available.fp32) {
console.warn('⚠️ Q8 model requested but not available, falling back to FP32');
return 'fp32';
}
if (preferredType === 'fp32' && available.q8) {
console.warn('⚠️ FP32 model requested but not available, falling back to Q8');
return 'q8';
}
return null;
}
async tryModelSource(name, source, modelName) {
try {
console.log(`📥 Trying ${name}...`);
// Test if the source is accessible by trying to fetch a test file
const testFile = source.testFile || 'config.json';
const modelPath = source.pathTemplate.replace('{model}', modelName).replace('{revision}', 'main');
const testUrl = `${source.host}/${modelPath}${testFile}`;
const response = await fetch(testUrl).catch(() => null);
if (response && response.ok) {
console.log(`${name} is available`);
// Configure transformers.js to use this source
env.remoteHost = source.host;
env.remotePathTemplate = source.pathTemplate;
env.allowRemoteModels = true;
// The model will be downloaded automatically by transformers.js when needed
return true;
}
else {
console.log(`⚠️ ${name} not available (${response?.status || 'unreachable'})`);
return false;
}
}
catch (error) {
console.log(`⚠️ ${name} check failed:`, error.message);
return false;
}
}
async downloadAndExtractFromGitHub(modelName) {
try {
console.log('📥 Trying GitHub Release (tar.gz)...');
// Download tar.gz file
const response = await fetch(MODEL_SOURCES.githubRelease.tarUrl);
if (!response.ok) {
console.log(`⚠️ GitHub Release not available (${response.status})`);
return false;
}
// Since we can't use tar-stream, we'll use Node's built-in child_process
// to extract using system tar command (available on all Unix systems)
const buffer = await response.arrayBuffer();
const modelPath = join(this.modelsPath, ...modelName.split('/'));
// Create model directory
await mkdir(modelPath, { recursive: true });
// Write tar.gz to temp file and extract
const tempFile = join(this.modelsPath, 'temp-model.tar.gz');
await writeFile(tempFile, Buffer.from(buffer));
// Extract using system tar command
const { exec } = await import('child_process');
const { promisify } = await import('util');
const execAsync = promisify(exec);
try {
// Extract and strip the first directory component
await execAsync(`tar -xzf ${tempFile} -C ${modelPath} --strip-components=1`, {
cwd: this.modelsPath
});
// Clean up temp file
const { unlink } = await import('fs/promises');
await unlink(tempFile);
console.log('✅ GitHub Release models extracted and cached locally');
// Configure to use local models now
env.allowRemoteModels = false;
return true;
}
catch (extractError) {
console.log('⚠️ Tar extraction failed, trying alternative method');
return false;
}
}
catch (error) {
console.log('⚠️ GitHub Release download failed:', error.message);
return false;
}
}
/**
* Pre-download models for deployment
* This is what npm run download-models calls
*/
static async predownload() {
const manager = ModelManager.getInstance();
const success = await manager.ensureModels();
if (!success) {
throw new Error('Failed to download models');
}
console.log('✅ Models downloaded successfully');
}
}
// Auto-initialize on import in production
if (process.env.NODE_ENV === 'production' && process.env.SKIP_MODEL_CHECK !== 'true') {
ModelManager.getInstance().ensureModels().catch(error => {
console.error('⚠️ Model initialization failed:', error);
// Don't throw - allow app to start and try downloading on first use
});
}
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