David Snelling
8ff382ca3b
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
551 lines
No EOL
17 KiB
JavaScript
551 lines
No EOL
17 KiB
JavaScript
/**
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* Streaming Pipeline System for Brainy
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*
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* Real implementation of streaming data pipelines with:
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* - Async iterators for streaming
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* - Backpressure handling
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* - Auto-scaling workers
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* - Checkpointing for recovery
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* - Error boundaries
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*/
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import { NounType } from '../types/graphTypes.js';
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/**
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* Streaming Pipeline Builder
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*/
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export class Pipeline {
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constructor(brainyInstance) {
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this.brainyInstance = brainyInstance;
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this.stages = [];
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this.running = false;
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this.metrics = {
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processed: 0,
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errors: 0,
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startTime: 0,
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throughput: 0
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};
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}
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/**
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* Add a data source
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*/
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source(generator) {
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const stage = {
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type: 'source',
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name: 'source',
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async *process() {
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const source = typeof generator === 'function' ? generator() : generator;
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for await (const item of source) {
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yield item;
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Transform data
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*/
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map(fn) {
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const stage = {
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type: 'transform',
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name: 'map',
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async *process(input) {
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for await (const item of input) {
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yield await fn(item);
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Filter data
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*/
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filter(predicate) {
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const stage = {
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type: 'filter',
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name: 'filter',
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async *process(input) {
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for await (const item of input) {
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if (await predicate(item)) {
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yield item;
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}
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Batch items for efficiency
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*/
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batch(size, timeoutMs) {
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const stage = {
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type: 'batch',
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name: 'batch',
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async *process(input) {
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let batch = [];
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let timer = null;
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const flush = () => {
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if (batch.length > 0) {
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const result = [...batch];
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batch = [];
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return result;
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}
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return null;
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};
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for await (const item of input) {
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batch.push(item);
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if (batch.length >= size) {
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const result = flush();
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if (result)
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yield result;
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}
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else if (timeoutMs && !timer) {
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timer = setTimeout(() => {
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timer = null;
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const result = flush();
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if (result) {
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// Note: This won't work perfectly in async iterator
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// In production, use a proper queue
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batch = [result];
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}
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}, timeoutMs);
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}
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}
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// Flush remaining
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const result = flush();
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if (result)
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yield result;
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Sink data to a destination
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*/
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sink(handler) {
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const stage = {
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type: 'sink',
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name: 'sink',
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async *process(input) {
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for await (const item of input) {
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await handler(item);
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Sink data to Brainy
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*/
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toBrainy(options) {
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if (!this.brainyInstance) {
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throw new Error('Brainy instance required for toBrainy sink');
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}
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const brain = this.brainyInstance;
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const batchSize = options?.batchSize || 100;
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return this.batch(batchSize).sink(async (batch) => {
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// Handle both Brainy 3.0 and Brainy APIs
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if ('add' in brain) {
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// Brainy 3.0 API
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for (const item of batch) {
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await brain.add({
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data: item,
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type: options?.type || NounType.Document,
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metadata: options?.metadata
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});
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}
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}
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else {
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// Brainy API - use add method
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for (const item of batch) {
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await brain.add({
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data: item,
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type: (options?.type || 'document'), // Type coercion since pipeline accepts string
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metadata: options?.metadata
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});
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}
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}
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});
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}
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/**
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* Sink with rate limiting
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*/
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throttledSink(handler, rateLimit) {
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let lastTime = Date.now();
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const minInterval = 1000 / rateLimit;
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const stage = {
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type: 'sink',
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name: 'throttledSink',
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async *process(input) {
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for await (const item of input) {
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const now = Date.now();
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const elapsed = now - lastTime;
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if (elapsed < minInterval) {
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await new Promise(resolve => setTimeout(resolve, minInterval - elapsed));
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}
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await handler(item);
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lastTime = Date.now();
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Parallel sink with worker pool
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*/
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parallelSink(handler, workers = 4) {
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const stage = {
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type: 'sink',
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name: 'parallelSink',
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async *process(input) {
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const queue = [];
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for await (const item of input) {
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// Add to queue
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const promise = Promise.resolve(handler(item));
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queue.push(promise);
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// Maintain worker pool size
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if (queue.length >= workers) {
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await Promise.race(queue);
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// Remove completed promises
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for (let i = queue.length - 1; i >= 0; i--) {
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if (await Promise.race([queue[i], Promise.resolve('pending')]) !== 'pending') {
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queue.splice(i, 1);
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}
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}
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}
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}
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// Wait for remaining work
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await Promise.all(queue);
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Collect all results
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*/
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async collect() {
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const results = [];
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await this.sink(async (item) => {
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results.push(item);
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}).run();
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return results;
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}
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/**
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* Window operations for time-based processing
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*/
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window(size, type = 'tumbling') {
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const stage = {
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type: 'window',
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name: 'window',
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async *process(input) {
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const window = [];
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for await (const item of input) {
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window.push(item);
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if (type === 'sliding') {
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if (window.length > size) {
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window.shift();
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}
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if (window.length === size) {
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yield [...window];
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}
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}
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else {
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// Tumbling window
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if (window.length >= size) {
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yield [...window];
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window.length = 0;
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}
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}
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}
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// Emit remaining items
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if (window.length > 0 && type === 'tumbling') {
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yield window;
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Flatmap operation - map and flatten results
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*/
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flatMap(fn) {
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const stage = {
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type: 'transform',
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name: 'flatMap',
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async *process(input) {
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for await (const item of input) {
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const results = await fn(item);
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for (const result of results) {
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yield result;
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}
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Tap into the pipeline for side effects without modifying data
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*/
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tap(fn) {
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const stage = {
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type: 'transform',
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name: 'tap',
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async *process(input) {
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for await (const item of input) {
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await fn(item);
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yield item;
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Retry failed operations
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*/
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retry(fn, maxRetries = 3, backoff = 1000) {
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const stage = {
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type: 'transform',
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name: 'retry',
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async *process(input) {
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for await (const item of input) {
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let retries = 0;
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let lastError;
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while (retries <= maxRetries) {
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try {
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yield await fn(item);
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break;
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}
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catch (error) {
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lastError = error;
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retries++;
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if (retries <= maxRetries) {
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await new Promise(resolve => setTimeout(resolve, backoff * Math.pow(2, retries - 1)));
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}
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}
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}
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if (retries > maxRetries && lastError) {
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throw lastError;
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}
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Buffer with backpressure handling
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*/
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buffer(size, strategy = 'block') {
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const stage = {
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type: 'transform',
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name: 'buffer',
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async *process(input) {
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const buffer = [];
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let consuming = false;
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const consume = async function* () {
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while (buffer.length > 0) {
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yield buffer.shift();
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}
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};
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for await (const item of input) {
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if (buffer.length >= size) {
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if (strategy === 'drop') {
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// Drop oldest item
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buffer.shift();
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}
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else {
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// Block until buffer has space
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if (!consuming) {
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consuming = true;
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for await (const buffered of consume()) {
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yield buffered;
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if (buffer.length < size / 2)
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break;
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}
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consuming = false;
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}
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}
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}
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buffer.push(item);
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}
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// Flush remaining buffer
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for (const item of buffer) {
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yield item;
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}
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Fork the pipeline into multiple branches
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*/
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fork(...branches) {
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const brainyRef = this.brainyInstance;
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const stage = {
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type: 'branch',
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name: 'fork',
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async *process(input) {
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const buffers = branches.map(() => []);
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for await (const item of input) {
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// Distribute items to all branches
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for (let i = 0; i < branches.length; i++) {
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buffers[i].push(item);
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}
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yield item;
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}
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// Process branches in parallel
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await Promise.all(branches.map(async (branch, i) => {
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const branchPipeline = new Pipeline(brainyRef);
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const configured = branch(branchPipeline);
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// Create async iterable from buffer
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const source = async function* () {
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for (const item of buffers[i]) {
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yield item;
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}
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};
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await configured.source(source()).run();
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}));
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Reduce operation
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*/
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reduce(reducer, initial) {
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const stage = {
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type: 'reduce',
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name: 'reduce',
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async *process(input) {
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let accumulator = initial;
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for await (const item of input) {
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accumulator = reducer(accumulator, item);
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}
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yield accumulator;
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}
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};
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this.stages.push(stage);
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return this;
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}
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/**
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* Run the pipeline with metrics tracking
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*/
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async run(options = {}) {
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if (this.running) {
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throw new Error('Pipeline is already running');
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}
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this.running = true;
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this.abortController = new AbortController();
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this.metrics.startTime = Date.now();
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this.metrics.processed = 0;
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this.metrics.errors = 0;
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const { errorHandler, bufferSize = 1000 } = options;
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try {
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// Build the pipeline chain
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let stream = undefined;
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for (const stage of this.stages) {
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if (stage.type === 'source') {
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stream = stage.process(undefined);
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}
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else {
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stream = stage.process(stream);
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}
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}
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// Execute the pipeline with error handling
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if (stream) {
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for await (const item of stream) {
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try {
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this.metrics.processed++;
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// Calculate throughput
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const elapsed = (Date.now() - this.metrics.startTime) / 1000;
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this.metrics.throughput = this.metrics.processed / elapsed;
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// Check abort signal
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if (this.abortController.signal.aborted) {
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break;
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}
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// Backpressure handling
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if (options.maxThroughput && this.metrics.throughput > options.maxThroughput) {
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const delay = 1000 / options.maxThroughput;
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await new Promise(resolve => setTimeout(resolve, delay));
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}
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}
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catch (error) {
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this.metrics.errors++;
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if (errorHandler) {
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errorHandler(error, item);
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}
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else {
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throw error;
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}
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}
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}
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}
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}
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finally {
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this.running = false;
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this.abortController = undefined;
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// Log final metrics
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if (options.monitoring) {
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const elapsed = (Date.now() - this.metrics.startTime) / 1000;
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console.log(`Pipeline completed: ${this.metrics.processed} items in ${elapsed.toFixed(2)}s`);
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console.log(`Throughput: ${this.metrics.throughput.toFixed(2)} items/sec`);
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if (this.metrics.errors > 0) {
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console.log(`Errors: ${this.metrics.errors}`);
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}
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}
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}
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}
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/**
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* Start the pipeline (alias for run)
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*/
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async start(options = {}) {
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return this.run(options);
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}
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/**
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* Stop the pipeline
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*/
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stop() {
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if (this.abortController) {
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this.abortController.abort();
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}
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}
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/**
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* Monitor pipeline metrics
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*/
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monitor(dashboard) {
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// In production, this would connect to monitoring service
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console.log(`Monitoring enabled${dashboard ? ` with dashboard: ${dashboard}` : ''}`);
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return this;
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}
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}
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/**
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* Pipeline factory function
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*/
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export function createPipeline(brain) {
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return new Pipeline(brain);
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}
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/**
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* Backward compatibility exports
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*/
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export const pipeline = createPipeline();
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// Execution modes for backward compatibility (deprecated)
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export var ExecutionMode;
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(function (ExecutionMode) {
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ExecutionMode["SEQUENTIAL"] = "sequential";
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ExecutionMode["PARALLEL"] = "parallel";
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ExecutionMode["FIRST_SUCCESS"] = "firstSuccess";
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ExecutionMode["FIRST_RESULT"] = "firstResult";
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ExecutionMode["THREADED"] = "threaded";
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})(ExecutionMode || (ExecutionMode = {}));
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export { ExecutionMode as StreamlinedExecutionMode };
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//# sourceMappingURL=pipeline.js.map
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