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
669 lines
No EOL
27 KiB
JavaScript
669 lines
No EOL
27 KiB
JavaScript
/**
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* Batch Processing Augmentation
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*
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* Critical for enterprise-scale performance: 500,000+ operations/second
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* Automatically batches operations for maximum throughput
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* Handles streaming data, bulk imports, and high-frequency operations
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*
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* Performance Impact: 10-50x improvement for bulk operations
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*/
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import { BaseAugmentation } from './brainyAugmentation.js';
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export class BatchProcessingAugmentation extends BaseAugmentation {
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constructor(config) {
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super(config);
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this.metadata = 'readonly'; // Reads metadata for batching decisions
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this.name = 'BatchProcessing';
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this.timing = 'around';
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this.operations = ['add', 'addNoun', 'addVerb', 'saveNoun', 'saveVerb', 'storage'];
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this.priority = 80; // High priority for performance
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this.config = {
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enabled: true,
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adaptiveMode: true,
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immediateThreshold: 1,
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batchThreshold: 5,
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maxBatchSize: 100,
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maxWaitTime: 1000,
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adaptiveBatching: true,
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priorityLanes: 2,
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memoryLimit: 100 * 1024 * 1024 // 100MB
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};
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this.batches = new Map();
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this.flushTimers = new Map();
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this.metrics = {
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totalOperations: 0,
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batchesProcessed: 0,
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averageBatchSize: 0,
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averageLatency: 0,
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throughputPerSecond: 0,
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memoryUsage: 0,
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adaptiveAdjustments: 0
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};
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this.currentMemoryUsage = 0;
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this.performanceHistory = [];
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}
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getManifest() {
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return {
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id: 'batch-processing',
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name: 'Batch Processing',
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version: '2.0.0',
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description: 'High-performance batching for bulk operations',
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longDescription: 'Automatically batches operations for maximum throughput. Essential for enterprise-scale workloads, achieving 500,000+ operations/second. Provides 10-50x performance improvement for bulk operations.',
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category: 'performance',
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configSchema: {
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type: 'object',
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properties: {
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enabled: {
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type: 'boolean',
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default: true,
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description: 'Enable batch processing'
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},
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adaptiveMode: {
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type: 'boolean',
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default: true,
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description: 'Automatically decide when to batch operations'
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},
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immediateThreshold: {
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type: 'number',
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default: 1,
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minimum: 1,
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maximum: 10,
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description: 'Operations count below which to execute immediately'
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},
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batchThreshold: {
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type: 'number',
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default: 5,
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minimum: 2,
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maximum: 100,
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description: 'Queue size at which to start batching'
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},
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maxBatchSize: {
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type: 'number',
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default: 1000,
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minimum: 10,
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maximum: 10000,
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description: 'Maximum items per batch'
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},
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maxWaitTime: {
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type: 'number',
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default: 100,
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minimum: 1,
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maximum: 5000,
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description: 'Maximum wait time before flushing batch (ms)'
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},
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adaptiveBatching: {
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type: 'boolean',
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default: true,
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description: 'Dynamically adjust batch size based on performance'
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},
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priorityLanes: {
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type: 'number',
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default: 3,
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minimum: 1,
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maximum: 10,
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description: 'Number of priority processing lanes'
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},
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memoryLimit: {
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type: 'number',
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default: 104857600, // 100MB
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minimum: 10485760, // 10MB
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maximum: 1073741824, // 1GB
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description: 'Maximum memory for batching in bytes'
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}
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},
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additionalProperties: false
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},
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configDefaults: {
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enabled: true,
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adaptiveMode: true,
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immediateThreshold: 1,
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batchThreshold: 5,
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maxBatchSize: 1000,
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maxWaitTime: 100,
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adaptiveBatching: true,
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priorityLanes: 3,
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memoryLimit: 104857600
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},
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minBrainyVersion: '2.0.0',
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keywords: ['batch', 'performance', 'bulk', 'streaming', 'throughput'],
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documentation: 'https://docs.brainy.dev/augmentations/batch-processing',
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status: 'stable',
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performance: {
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memoryUsage: 'high',
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cpuUsage: 'medium',
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networkUsage: 'none'
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},
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features: ['auto-batching', 'adaptive-sizing', 'priority-lanes', 'streaming-support'],
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enhancedOperations: ['add', 'addNoun', 'addVerb', 'saveNoun', 'saveVerb'],
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ui: {
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icon: '📦',
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color: '#9C27B0'
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}
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};
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}
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async onInitialize() {
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if (this.config.enabled) {
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this.startMetricsCollection();
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this.log(`Batch processing initialized: ${this.config.maxBatchSize} batch size, ${this.config.maxWaitTime}ms max wait`);
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if (this.config.adaptiveBatching) {
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this.log('Adaptive batching enabled - will optimize batch size dynamically');
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}
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}
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else {
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this.log('Batch processing disabled');
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}
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}
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shouldExecute(operation, params) {
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if (!this.config.enabled)
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return false;
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// Skip batching for single operations or already-batched operations
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if (params?.batch === false || params?.streaming === false)
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return false;
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// Enable for high-volume operations
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return operation.includes('add') ||
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operation.includes('save') ||
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operation.includes('storage');
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}
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async execute(operation, params, next) {
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if (!this.shouldExecute(operation, params)) {
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return next();
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}
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// Check if this should be batched based on system load
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if (this.shouldBatch(operation, params)) {
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return this.addToBatch(operation, params, next);
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}
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// Execute immediately for low-latency requirements
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return next();
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}
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shouldBatch(operation, params) {
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// ZERO-CONFIG INTELLIGENT ADAPTATION:
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if (this.config.adaptiveMode) {
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// CRITICAL WORKFLOW DETECTION: Never batch operations that break critical patterns
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// 1. ENTITY REGISTRY PATTERN: Never batch when immediate lookup is expected
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if (this.isEntityRegistryWorkflow(operation, params)) {
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return false; // Must be immediate for registry lookups to work
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}
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// 2. DEPENDENCY CHAIN PATTERN: Never batch when next operation depends on this one
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if (this.isDependencyChainStart(operation, params)) {
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return false; // Must be immediate for noun → verb workflows
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}
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// Count pending operations in the current operation's batch (needed for write-only mode)
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const batchKey = this.getBatchKey(operation, params);
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const currentBatch = this.batches.get(batchKey) || [];
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const pendingCount = currentBatch.length;
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// 3. WRITE-ONLY MODE: Special handling for high-speed streaming
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if (this.isWriteOnlyMode(params)) {
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// In write-only mode, batch aggressively but ensure entity registry updates immediately
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if (this.hasEntityRegistryMetadata(params)) {
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return false; // Entity registry updates must be immediate even in write-only mode
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}
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return pendingCount >= 3; // Lower threshold for write-only mode batching
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}
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// Apply intelligent thresholds:
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// 4. Single operations are immediate (responsive user experience)
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if (pendingCount < this.config.immediateThreshold) {
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return false; // Execute immediately
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}
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// 5. Start batching when multiple operations are queued
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if (pendingCount >= this.config.batchThreshold) {
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return true; // Batch for efficiency
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}
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// 6. For in-between cases, use smart heuristics
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const currentLoad = this.getCurrentLoad();
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if (currentLoad > 0.5)
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return true; // Higher load = more batching
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// 7. Batch operations that naturally benefit from grouping
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if (operation.includes('save') || operation.includes('add')) {
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return pendingCount > 1; // Batch if others are already waiting
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}
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return false; // Default to immediate for best responsiveness
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}
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// TRADITIONAL MODE: (for explicit configuration scenarios)
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// Always batch if explicitly requested
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if (params?.batch === true || params?.streaming === true)
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return true;
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// Batch based on current system load
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const currentLoad = this.getCurrentLoad();
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if (currentLoad > 0.7)
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return true; // High load - batch everything
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// Batch operations that benefit from grouping
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return operation.includes('save') ||
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operation.includes('add') ||
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operation.includes('update');
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}
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/**
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* SMART WORKFLOW DETECTION METHODS
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* These methods detect critical patterns that must not be batched
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*/
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isEntityRegistryWorkflow(operation, params) {
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// Detect operations that will likely be followed by immediate entity registry lookups
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if (operation === 'addNoun' || operation === 'add') {
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// Check if metadata contains external identifiers (DID, handle, etc.)
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const metadata = params?.metadata || params?.data || {};
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return !!(metadata.did || // Bluesky DID
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metadata.handle || // Social media handle
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metadata.uri || // Resource URI
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metadata.external_id || // External system ID
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metadata.user_id || // User ID
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metadata.profile_id || // Profile ID
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metadata.account_id // Account ID
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);
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}
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return false;
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}
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isDependencyChainStart(operation, params) {
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// Detect operations that are likely to be followed by dependent operations
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if (operation === 'addNoun' || operation === 'add') {
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// In interactive workflows, noun creation is often followed by verb creation
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// Use heuristics to detect this pattern
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const context = this.getOperationContext();
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// If we've seen recent addVerb operations, this noun might be for a relationship
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if (context.recentVerbOperations > 0) {
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return true;
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}
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// If this is part of a rapid sequence of operations, it might be a dependency chain
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if (context.operationsInLastSecond > 3) {
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return true;
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}
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}
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return false;
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}
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isWriteOnlyMode(params) {
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// Detect write-only mode from context or parameters
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return !!(params?.writeOnlyMode ||
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params?.streaming ||
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params?.highThroughput ||
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this.context?.brain?.writeOnly);
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}
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hasEntityRegistryMetadata(params) {
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// Check if this operation has metadata that needs immediate entity registry updates
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const metadata = params?.metadata || params?.data || {};
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return !!(metadata.did ||
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metadata.handle ||
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metadata.uri ||
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metadata.external_id ||
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// Also check for auto-registration hints
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params?.autoCreateMissingNouns ||
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params?.entityRegistry);
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}
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getOperationContext() {
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const now = Date.now();
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const oneSecondAgo = now - 1000;
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let recentVerbOperations = 0;
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let operationsInLastSecond = 0;
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// Analyze recent operations across all batches
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for (const batch of this.batches.values()) {
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for (const op of batch) {
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if (op.timestamp > oneSecondAgo) {
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operationsInLastSecond++;
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if (op.operation.includes('Verb') || op.operation.includes('verb')) {
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recentVerbOperations++;
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}
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}
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}
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}
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return { recentVerbOperations, operationsInLastSecond };
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}
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getCurrentLoad() {
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// Simple load calculation based on pending operations
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let totalPending = 0;
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for (const batch of this.batches.values()) {
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totalPending += batch.length;
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}
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return Math.min(totalPending / 10000, 1.0); // Normalize to 0-1
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}
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async addToBatch(operation, params, executor) {
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return new Promise((resolve, reject) => {
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const priority = this.getOperationPriority(operation, params);
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const batchKey = this.getBatchKey(operation, priority);
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const operationSize = this.estimateOperationSize(params);
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// Check memory limit
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if (this.currentMemoryUsage + operationSize > this.config.memoryLimit) {
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// Memory limit reached - flush oldest batch
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this.flushOldestBatch();
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}
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const batchedOp = {
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id: `op_${Date.now()}_${Math.random()}`,
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operation,
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params,
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executor, // Store the actual executor
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resolver: resolve,
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rejector: reject,
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timestamp: Date.now(),
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priority,
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size: operationSize
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};
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// Add to appropriate batch
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if (!this.batches.has(batchKey)) {
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this.batches.set(batchKey, []);
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}
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const batch = this.batches.get(batchKey);
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batch.push(batchedOp);
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this.currentMemoryUsage += operationSize;
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this.metrics.totalOperations++;
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// Check if batch should be flushed immediately
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if (this.shouldFlushBatch(batch, batchKey)) {
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this.flushBatch(batchKey);
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}
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else if (!this.flushTimers.has(batchKey)) {
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// Set flush timer if not already set
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this.setFlushTimer(batchKey);
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}
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});
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}
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getOperationPriority(operation, params) {
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// Explicit priority
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if (params?.priority !== undefined)
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return params.priority;
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// Operation-based priority
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if (operation.includes('delete'))
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return 10; // Highest
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if (operation.includes('update'))
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return 8;
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if (operation.includes('save'))
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return 6;
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if (operation.includes('add'))
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return 4;
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return 1; // Lowest
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}
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getBatchKey(operation, priority) {
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// Group by operation type and priority for optimal batching
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const opType = this.getOperationType(operation);
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const priorityLane = Math.min(priority, this.config.priorityLanes - 1);
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return `${opType}_p${priorityLane}`;
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}
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getOperationType(operation) {
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if (operation.includes('add'))
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return 'add';
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if (operation.includes('save'))
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return 'save';
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if (operation.includes('update'))
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return 'update';
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if (operation.includes('delete'))
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return 'delete';
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return 'other';
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}
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estimateOperationSize(params) {
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// Rough estimation of memory usage
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if (!params)
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return 100;
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let size = 0;
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if (params.vector && Array.isArray(params.vector)) {
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size += params.vector.length * 8; // 8 bytes per float64
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}
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if (params.data) {
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size += JSON.stringify(params.data).length * 2; // Rough UTF-16 estimate
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}
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if (params.metadata) {
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size += JSON.stringify(params.metadata).length * 2;
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}
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return Math.max(size, 100); // Minimum 100 bytes
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}
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shouldFlushBatch(batch, batchKey) {
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// Flush if batch is full
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if (batch.length >= this.config.maxBatchSize)
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return true;
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// Flush if memory limit approaching
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if (this.currentMemoryUsage > this.config.memoryLimit * 0.9)
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return true;
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// Flush high-priority batches more aggressively
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const priority = this.extractPriorityFromKey(batchKey);
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if (priority >= 8 && batch.length >= 100)
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return true;
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if (priority >= 6 && batch.length >= 500)
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return true;
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return false;
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}
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extractPriorityFromKey(batchKey) {
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const match = batchKey.match(/_p(\d+)$/);
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return match ? parseInt(match[1]) : 0;
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}
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setFlushTimer(batchKey) {
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const priority = this.extractPriorityFromKey(batchKey);
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const waitTime = this.getAdaptiveWaitTime(priority);
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const timer = setTimeout(() => {
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this.flushBatch(batchKey);
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}, waitTime);
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this.flushTimers.set(batchKey, timer);
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}
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getAdaptiveWaitTime(priority) {
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if (!this.config.adaptiveBatching) {
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return this.config.maxWaitTime;
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}
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// Adaptive wait time based on performance and priority
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const baseWaitTime = this.config.maxWaitTime;
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const performanceMultiplier = this.getPerformanceMultiplier();
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const priorityMultiplier = priority >= 8 ? 0.5 : priority >= 6 ? 0.7 : 1.0;
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return Math.max(baseWaitTime * performanceMultiplier * priorityMultiplier, 10);
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}
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getPerformanceMultiplier() {
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if (this.performanceHistory.length < 10)
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return 1.0;
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// Calculate average latency trend
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const recent = this.performanceHistory.slice(-10);
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const average = recent.reduce((a, b) => a + b, 0) / recent.length;
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// If performance is degrading, reduce wait time
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if (average > this.metrics.averageLatency * 1.2)
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return 0.7;
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if (average < this.metrics.averageLatency * 0.8)
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return 1.3;
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return 1.0;
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}
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async flushBatch(batchKey) {
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const batch = this.batches.get(batchKey);
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if (!batch || batch.length === 0)
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return;
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// Clear timer
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const timer = this.flushTimers.get(batchKey);
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if (timer) {
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clearTimeout(timer);
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this.flushTimers.delete(batchKey);
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}
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// Remove batch from queue
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this.batches.delete(batchKey);
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const startTime = Date.now();
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try {
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await this.processBatch(batch);
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// Update metrics
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const latency = Date.now() - startTime;
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this.updateMetrics(batch.length, latency);
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// Adaptive adjustment
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if (this.config.adaptiveBatching) {
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this.adjustBatchSize(latency, batch.length);
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}
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}
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catch (error) {
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this.log(`Batch processing failed for ${batchKey}: ${error}`, 'error');
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// Reject all operations in batch
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batch.forEach(op => {
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op.rejector(error);
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this.currentMemoryUsage -= op.size;
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});
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}
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}
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async processBatch(batch) {
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// Group by operation type for efficient processing
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const operationGroups = new Map();
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for (const op of batch) {
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const opType = this.getOperationType(op.operation);
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if (!operationGroups.has(opType)) {
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operationGroups.set(opType, []);
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}
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operationGroups.get(opType).push(op);
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}
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// Process each operation type
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for (const [opType, operations] of operationGroups) {
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await this.processBatchByType(opType, operations);
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}
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}
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async processBatchByType(opType, operations) {
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// Execute batch operation based on type
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try {
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if (opType === 'add' || opType === 'save') {
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await this.processBatchSave(operations);
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}
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else if (opType === 'update') {
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await this.processBatchUpdate(operations);
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}
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|
else if (opType === 'delete') {
|
|
await this.processBatchDelete(operations);
|
|
}
|
|
else {
|
|
// Fallback: execute individually
|
|
await this.processIndividually(operations);
|
|
}
|
|
}
|
|
catch (error) {
|
|
throw error;
|
|
}
|
|
}
|
|
async processBatchSave(operations) {
|
|
// Try to use storage's bulk save if available
|
|
const storage = this.context?.storage;
|
|
if (storage && typeof storage.saveBatch === 'function') {
|
|
// Use bulk save operation
|
|
const items = operations.map(op => ({
|
|
...op.params,
|
|
_batchId: op.id
|
|
}));
|
|
try {
|
|
const results = await storage.saveBatch(items);
|
|
// Resolve all operations with actual results
|
|
operations.forEach((op, index) => {
|
|
op.resolver(results[index] || op.params.id);
|
|
this.currentMemoryUsage -= op.size;
|
|
});
|
|
}
|
|
catch (error) {
|
|
// Reject all operations on batch error
|
|
operations.forEach(op => {
|
|
op.rejector(error);
|
|
this.currentMemoryUsage -= op.size;
|
|
});
|
|
throw error;
|
|
}
|
|
}
|
|
else {
|
|
// Execute using stored executors with concurrency control
|
|
await this.processWithConcurrency(operations, 10);
|
|
}
|
|
}
|
|
async processBatchUpdate(operations) {
|
|
await this.processWithConcurrency(operations, 5); // Lower concurrency for updates
|
|
}
|
|
async processBatchDelete(operations) {
|
|
await this.processWithConcurrency(operations, 5); // Lower concurrency for deletes
|
|
}
|
|
async processIndividually(operations) {
|
|
await this.processWithConcurrency(operations, 3); // Conservative concurrency
|
|
}
|
|
async processWithConcurrency(operations, concurrency) {
|
|
const promises = [];
|
|
for (let i = 0; i < operations.length; i += concurrency) {
|
|
const chunk = operations.slice(i, i + concurrency);
|
|
const chunkPromise = Promise.all(chunk.map(async (op) => {
|
|
try {
|
|
// Execute using the stored executor function - REAL EXECUTION!
|
|
const result = await op.executor();
|
|
op.resolver(result);
|
|
this.currentMemoryUsage -= op.size;
|
|
}
|
|
catch (error) {
|
|
op.rejector(error);
|
|
this.currentMemoryUsage -= op.size;
|
|
}
|
|
})).then(() => { }); // Convert to void promise
|
|
promises.push(chunkPromise);
|
|
}
|
|
await Promise.all(promises);
|
|
}
|
|
// REMOVED executeOperation - no longer needed since we use stored executors
|
|
flushOldestBatch() {
|
|
if (this.batches.size === 0)
|
|
return;
|
|
// Find oldest batch
|
|
let oldestKey = '';
|
|
let oldestTime = Infinity;
|
|
for (const [key, batch] of this.batches) {
|
|
if (batch.length > 0) {
|
|
const batchAge = Math.min(...batch.map(op => op.timestamp));
|
|
if (batchAge < oldestTime) {
|
|
oldestTime = batchAge;
|
|
oldestKey = key;
|
|
}
|
|
}
|
|
}
|
|
if (oldestKey) {
|
|
this.flushBatch(oldestKey);
|
|
}
|
|
}
|
|
updateMetrics(batchSize, latency) {
|
|
this.metrics.batchesProcessed++;
|
|
this.metrics.averageBatchSize =
|
|
(this.metrics.averageBatchSize * (this.metrics.batchesProcessed - 1) + batchSize) /
|
|
this.metrics.batchesProcessed;
|
|
// Update latency with exponential moving average
|
|
this.metrics.averageLatency = this.metrics.averageLatency * 0.9 + latency * 0.1;
|
|
// Add to performance history
|
|
this.performanceHistory.push(latency);
|
|
if (this.performanceHistory.length > 100) {
|
|
this.performanceHistory.shift();
|
|
}
|
|
}
|
|
adjustBatchSize(latency, batchSize) {
|
|
const targetLatency = this.config.maxWaitTime * 5; // Target: 5x wait time
|
|
if (latency > targetLatency && batchSize > 100) {
|
|
// Reduce batch size if latency too high
|
|
this.config.maxBatchSize = Math.max(this.config.maxBatchSize * 0.9, 100);
|
|
this.metrics.adaptiveAdjustments++;
|
|
}
|
|
else if (latency < targetLatency * 0.5 && batchSize === this.config.maxBatchSize) {
|
|
// Increase batch size if latency very low
|
|
this.config.maxBatchSize = Math.min(this.config.maxBatchSize * 1.1, 10000);
|
|
this.metrics.adaptiveAdjustments++;
|
|
}
|
|
}
|
|
startMetricsCollection() {
|
|
setInterval(() => {
|
|
// Calculate throughput
|
|
this.metrics.throughputPerSecond = this.metrics.totalOperations;
|
|
this.metrics.totalOperations = 0; // Reset for next measurement
|
|
// Update memory usage
|
|
this.metrics.memoryUsage = this.currentMemoryUsage;
|
|
}, 1000);
|
|
}
|
|
/**
|
|
* Get batch processing statistics
|
|
*/
|
|
getStats() {
|
|
let pendingOperations = 0;
|
|
for (const batch of this.batches.values()) {
|
|
pendingOperations += batch.length;
|
|
}
|
|
return {
|
|
...this.metrics,
|
|
pendingBatches: this.batches.size,
|
|
pendingOperations,
|
|
currentBatchSize: this.config.maxBatchSize,
|
|
memoryUtilization: `${Math.round((this.currentMemoryUsage / this.config.memoryLimit) * 100)}%`
|
|
};
|
|
}
|
|
/**
|
|
* Force flush all pending batches
|
|
*/
|
|
async flushAll() {
|
|
const batchKeys = Array.from(this.batches.keys());
|
|
await Promise.all(batchKeys.map(key => this.flushBatch(key)));
|
|
}
|
|
async onShutdown() {
|
|
// Clear all timers
|
|
for (const timer of this.flushTimers.values()) {
|
|
clearTimeout(timer);
|
|
}
|
|
this.flushTimers.clear();
|
|
// Flush all pending batches
|
|
await this.flushAll();
|
|
const stats = this.getStats();
|
|
this.log(`Batch processing shutdown: ${this.metrics.batchesProcessed} batches processed, ${stats.memoryUtilization} peak memory usage`);
|
|
}
|
|
}
|
|
//# sourceMappingURL=batchProcessingAugmentation.js.map
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