Major architectural improvements and critical bug fixes: ## COW Always-On Architecture - Removed cowEnabled flag from BaseStorage (COW cannot be disabled) - Eliminated marker file system (checkClearMarker, createClearMarker) - Simplified all code paths to assume COW is always enabled - COW automatically re-initializes after clear() operations ## Critical Bug Fix: Cloud Storage clear() - Fixed GCS clear() using correct paths (branches/ instead of entities/nouns/) - Fixed S3Compatible clear() path structure - Fixed R2 clear() implementation - Fixed Azure, FileSystem, OPFS, Memory clear() COW flag handling - clear() now deletes: branches/, _cow/, _system/ - Result: Cloud buckets can now be fully cleared (previously impossible) ## Container Memory Detection - Auto-detect Docker/K8s/Cloud Run memory limits (cgroup v1/v2) - Smart memory allocation (75% graph data, 25% query operations) - Environment variable support (CLOUD_RUN_MEMORY, MEMORY_LIMIT) - Production-grade containerized deployment support ## CommitLog streamHistory Feature - Added streamable commit history with pagination - Efficient memory usage for large commit histories - Support for branch filtering and time ranges ## Comprehensive Storage Documentation - Complete v5.11.0 file structure reference - Detailed path construction algorithms - 8 common storage scenarios with examples - Type-first storage, sharding, COW architecture explained - Public docs: docs/architecture/data-storage-architecture.md (1063 lines) ## Files Modified (14 files) - All 8 storage adapters (GCS, S3, R2, Azure, FS, OPFS, Memory, Historical) - BaseStorage core architecture - CommitLog with streaming - Brainy memory configuration - Parameter validation with container detection - Storage architecture documentation ## Breaking Changes NONE - COW was already enabled by default. This removes the ability to disable it. ## Migration No action required. Upgrade and clear() will work correctly on cloud storage. ## Impact - Users can now clear cloud storage buckets completely - No more corrupted buckets after clear() operations - Container deployments automatically optimize memory allocation - COW is mandatory and always enabled (safer, simpler) v5.11.0 - Production ready
383 lines
10 KiB
TypeScript
383 lines
10 KiB
TypeScript
/**
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* Integration tests for Memory Enhancements (v5.11.0)
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*
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* End-to-end tests verifying:
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* - streamHistory() works in production scenarios
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* - Container detection works correctly
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* - Memory limits are applied correctly
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* - getMemoryStats() provides accurate information
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* - All features work together seamlessly
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*/
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import { describe, it, expect, beforeEach, afterEach } from 'vitest'
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import { Brainy } from '../../src/brainy.js'
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import { mkdtempSync, rmSync } from 'fs'
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import { tmpdir } from 'os'
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import { join } from 'path'
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describe('Memory Enhancements Integration (v5.11.0)', () => {
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let testDir: string
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let originalEnv: Record<string, string | undefined>
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beforeEach(() => {
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testDir = mkdtempSync(join(tmpdir(), 'brainy-memory-integration-'))
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originalEnv = {
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CLOUD_RUN_MEMORY: process.env.CLOUD_RUN_MEMORY,
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MEMORY_LIMIT: process.env.MEMORY_LIMIT
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}
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})
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afterEach(() => {
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rmSync(testDir, { recursive: true, force: true })
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Object.keys(originalEnv).forEach(key => {
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if (originalEnv[key] === undefined) {
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delete process.env[key]
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} else {
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process.env[key] = originalEnv[key]
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}
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})
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})
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describe('Production Workflow: Workshop Snapshot Timeline', () => {
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it('should stream 1000 snapshots efficiently', async () => {
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const brain = new Brainy({
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storage: {
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type: 'filesystem',
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options: { path: testDir }
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},
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silent: true
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})
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await brain.init()
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// Create a realistic workflow: user creates entities and saves snapshots
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for (let i = 0; i < 100; i++) {
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// Add 10 entities
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for (let j = 0; j < 10; j++) {
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await brain.add({
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type: 'document',
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data: `Chapter ${i}, Section ${j}`
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})
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}
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// Save snapshot
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await brain.commit({ message: `Version ${i}`, captureState: true })
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}
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// Stream history efficiently
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const snapshots: string[] = []
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const startTime = Date.now()
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for await (const commit of brain.streamHistory({ limit: 100 })) {
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snapshots.push(commit.message)
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}
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const duration = Date.now() - startTime
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expect(snapshots.length).toBe(100)
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expect(duration).toBeLessThan(5000) // Should complete in < 5s
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await brain.close()
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})
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it('should handle large snapshot with filtering', async () => {
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const brain = new Brainy({
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storage: {
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type: 'filesystem',
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options: { path: testDir }
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},
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silent: true
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})
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await brain.init()
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// Create snapshots by different authors
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for (let i = 0; i < 50; i++) {
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await brain.add({ type: 'document', data: `Content ${i}` })
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await brain.commit({
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message: `Snapshot ${i}`,
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author: i % 3 === 0 ? 'alice' : i % 3 === 1 ? 'bob' : 'charlie',
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captureState: true
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})
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}
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// Stream only alice's snapshots
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const aliceSnapshots: any[] = []
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for await (const commit of brain.streamHistory({ author: 'alice', limit: 100 })) {
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aliceSnapshots.push(commit)
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}
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expect(aliceSnapshots.length).toBeGreaterThan(0)
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aliceSnapshots.forEach(commit => {
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expect(commit.author).toBe('alice')
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})
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await brain.close()
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})
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})
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describe('Production Workflow: Cloud Run Deployment', () => {
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it('should detect 4GB Cloud Run container and set optimal limits', async () => {
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process.env.CLOUD_RUN_MEMORY = '4Gi'
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const brain = new Brainy({
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storage: { type: 'memory' },
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silent: true
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})
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await brain.init()
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const stats = brain.getMemoryStats()
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// Verify container detected
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expect(stats.memory.containerLimit).toBe(4 * 1024 * 1024 * 1024)
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// Verify optimal limits
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expect(stats.limits.basis).toBe('containerMemory')
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expect(stats.limits.maxQueryLimit).toBe(10000) // 25% of 4GB
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// Verify can query with these limits
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for (let i = 0; i < 100; i++) {
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await brain.add({ type: 'document', data: `Entity ${i}` })
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}
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const results = await brain.find({ limit: 10000 }) // Should not throw
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expect(results.length).toBe(100)
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await brain.close()
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})
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it('should allow manual override for power users in containers', async () => {
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process.env.CLOUD_RUN_MEMORY = '4Gi'
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const brain = new Brainy({
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storage: { type: 'memory' },
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maxQueryLimit: 50000, // Override auto-detection
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silent: true
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})
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await brain.init()
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const stats = brain.getMemoryStats()
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// Container detected but override used
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expect(stats.memory.containerLimit).toBe(4 * 1024 * 1024 * 1024)
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expect(stats.limits.basis).toBe('override')
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expect(stats.limits.maxQueryLimit).toBe(50000)
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await brain.close()
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})
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it('should use reservedQueryMemory for fine-grained control', async () => {
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const brain = new Brainy({
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storage: { type: 'memory' },
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reservedQueryMemory: 2 * 1024 * 1024 * 1024, // Reserve 2GB
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silent: true
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})
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await brain.init()
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const stats = brain.getMemoryStats()
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expect(stats.limits.basis).toBe('reservedMemory')
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expect(stats.limits.maxQueryLimit).toBe(20000) // 2GB / 100MB * 1000
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await brain.close()
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})
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})
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describe('Combined Features: Stream + Memory Management', () => {
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it('should stream large histories within memory limits', async () => {
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process.env.CLOUD_RUN_MEMORY = '2Gi'
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const brain = new Brainy({
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storage: {
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type: 'filesystem',
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options: { path: testDir }
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},
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silent: true
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})
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await brain.init()
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// Create many snapshots
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for (let i = 0; i < 200; i++) {
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await brain.add({ type: 'document', data: `Data ${i}` })
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if (i % 5 === 0) {
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await brain.commit({ message: `Checkpoint ${i / 5}`, captureState: true })
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}
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}
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// Verify memory limits
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const stats = brain.getMemoryStats()
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expect(stats.limits.maxQueryLimit).toBe(5000) // 2GB * 0.25
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// Stream all snapshots (should be ~40)
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const heapBefore = process.memoryUsage().heapUsed
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let count = 0
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for await (const commit of brain.streamHistory({ limit: 100 })) {
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count++
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}
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const heapAfter = process.memoryUsage().heapUsed
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const heapGrowth = heapAfter - heapBefore
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expect(count).toBeGreaterThan(0)
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expect(heapGrowth).toBeLessThan(20 * 1024 * 1024) // < 20MB growth
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await brain.close()
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})
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})
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describe('Memory Stats API', () => {
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it('should provide actionable recommendations', async () => {
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process.env.CLOUD_RUN_MEMORY = '4Gi'
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const brain = new Brainy({
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storage: { type: 'memory' },
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silent: true
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})
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await brain.init()
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const stats = brain.getMemoryStats()
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// Should have recommendations array
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expect(stats.recommendations).toBeDefined()
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expect(Array.isArray(stats.recommendations)).toBe(true)
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// Should not have error recommendations for well-configured system
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const errorRecommendations = stats.recommendations?.filter(r =>
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r.toLowerCase().includes('error') || r.toLowerCase().includes('warning')
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)
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expect(errorRecommendations?.length || 0).toBe(0)
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await brain.close()
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})
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it('should help debug low limits in production', async () => {
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// Simulate production issue: container detected but low free memory
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process.env.CLOUD_RUN_MEMORY = '4Gi'
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const brain = new Brainy({
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storage: { type: 'memory' },
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silent: true
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})
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await brain.init()
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const stats = brain.getMemoryStats()
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// User can see why limits are what they are
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expect(stats.limits.basis).toBeDefined()
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expect(stats.memory.containerLimit).toBeDefined()
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expect(stats.config).toBeDefined()
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// Can debug: "Why is my limit only 10k?"
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// Answer: basis='containerMemory', container=4GB, 4GB * 0.25 = 1GB -> 10k
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await brain.close()
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})
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})
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describe('Zero-Config Behavior', () => {
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it('should work optimally with no configuration', async () => {
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process.env.CLOUD_RUN_MEMORY = '4Gi'
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const brain = new Brainy({
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storage: { type: 'memory' },
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silent: true
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})
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await brain.init()
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// Zero config, optimal behavior
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const stats = brain.getMemoryStats()
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expect(stats.limits.maxQueryLimit).toBe(10000)
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expect(stats.limits.basis).toBe('containerMemory')
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// Should work without issues
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for (let i = 0; i < 100; i++) {
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await brain.add({ type: 'note', data: `Test ${i}` })
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}
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const results = await brain.find({ limit: 100 })
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expect(results.length).toBe(100)
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await brain.close()
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})
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it('should work on bare metal without containers', async () => {
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// No container env vars
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const brain = new Brainy({
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storage: { type: 'memory' },
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silent: true
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})
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await brain.init()
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const stats = brain.getMemoryStats()
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expect(stats.memory.containerLimit).toBeNull()
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expect(stats.limits.basis).toBe('freeMemory')
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expect(stats.limits.maxQueryLimit).toBeGreaterThan(0)
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await brain.close()
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})
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})
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describe('Backward Compatibility', () => {
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it('should not break existing code', async () => {
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const brain = new Brainy({
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storage: { type: 'memory' },
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silent: true
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})
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await brain.init()
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// Existing APIs work
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await brain.add({ type: 'document', data: 'Test' })
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const results = await brain.find({ limit: 10 })
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expect(results.length).toBe(1)
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await brain.close()
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})
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it('should keep getHistory() working as before', async () => {
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const brain = new Brainy({
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storage: {
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type: 'filesystem',
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options: { path: testDir }
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},
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silent: true
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})
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await brain.init()
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// Create some snapshots
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for (let i = 0; i < 10; i++) {
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await brain.add({ type: 'note', data: `Test ${i}` })
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await brain.commit({ message: `Snapshot ${i}`, captureState: true })
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}
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// Old API still works
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const history = await brain.getHistory({ limit: 10 })
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expect(history.length).toBe(10)
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expect(history[0]).toHaveProperty('hash')
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expect(history[0]).toHaveProperty('message')
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await brain.close()
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})
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})
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})
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