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
394 lines
12 KiB
TypeScript
394 lines
12 KiB
TypeScript
/**
|
|
* Unit tests for memory limit calculation and container detection (v5.11.0)
|
|
*
|
|
* Tests verify:
|
|
* - Container memory detection (cgroup v1/v2, env vars)
|
|
* - Smart memory limit calculation
|
|
* - Configuration overrides
|
|
* - Memory stats API
|
|
*/
|
|
|
|
import { describe, it, expect, beforeEach, afterEach } from 'vitest'
|
|
import { Brainy } from '../../../src/brainy.js'
|
|
import { ValidationConfig } from '../../../src/utils/paramValidation.js'
|
|
import { mkdtempSync, rmSync, writeFileSync, mkdirSync } from 'fs'
|
|
import { tmpdir } from 'os'
|
|
import { join } from 'path'
|
|
|
|
describe('Memory Limits - Container Detection & Smart Calculation', () => {
|
|
let testDir: string
|
|
let originalEnv: Record<string, string | undefined>
|
|
|
|
beforeEach(() => {
|
|
testDir = mkdtempSync(join(tmpdir(), 'brainy-memory-test-'))
|
|
|
|
// Save original environment variables
|
|
originalEnv = {
|
|
CLOUD_RUN_MEMORY: process.env.CLOUD_RUN_MEMORY,
|
|
MEMORY_LIMIT: process.env.MEMORY_LIMIT
|
|
}
|
|
|
|
// Reset ValidationConfig singleton before each test
|
|
ValidationConfig.reset()
|
|
})
|
|
|
|
afterEach(() => {
|
|
rmSync(testDir, { recursive: true, force: true })
|
|
|
|
// Restore original environment
|
|
Object.keys(originalEnv).forEach(key => {
|
|
if (originalEnv[key] === undefined) {
|
|
delete process.env[key]
|
|
} else {
|
|
process.env[key] = originalEnv[key]
|
|
}
|
|
})
|
|
|
|
// Reset ValidationConfig after each test
|
|
ValidationConfig.reset()
|
|
})
|
|
|
|
describe('Container Memory Detection', () => {
|
|
it('should detect Cloud Run memory limit from env var', () => {
|
|
process.env.CLOUD_RUN_MEMORY = '4Gi'
|
|
|
|
const config = ValidationConfig.getInstance()
|
|
|
|
expect(config.detectedContainerLimit).toBe(4 * 1024 * 1024 * 1024)
|
|
expect(config.limitBasis).toBe('containerMemory')
|
|
|
|
// 4GB * 0.25 = 1GB query memory = 10k limit
|
|
expect(config.maxLimit).toBeGreaterThan(5000)
|
|
})
|
|
|
|
it('should detect Cloud Run memory limit in Mi units', () => {
|
|
process.env.CLOUD_RUN_MEMORY = '512Mi'
|
|
|
|
const config = ValidationConfig.getInstance()
|
|
|
|
expect(config.detectedContainerLimit).toBe(512 * 1024 * 1024)
|
|
expect(config.limitBasis).toBe('containerMemory')
|
|
|
|
// 512MB * 0.25 = 128MB query memory
|
|
expect(config.maxLimit).toBeGreaterThan(0)
|
|
})
|
|
|
|
it('should detect generic MEMORY_LIMIT env var', () => {
|
|
process.env.MEMORY_LIMIT = String(2 * 1024 * 1024 * 1024) // 2GB
|
|
|
|
const config = ValidationConfig.getInstance()
|
|
|
|
expect(config.detectedContainerLimit).toBe(2 * 1024 * 1024 * 1024)
|
|
expect(config.limitBasis).toBe('containerMemory')
|
|
})
|
|
|
|
it('should fall back to free memory if no container detected', () => {
|
|
// No environment variables set
|
|
|
|
const config = ValidationConfig.getInstance()
|
|
|
|
expect(config.limitBasis).toBe('freeMemory')
|
|
expect(config.maxLimit).toBeGreaterThan(0)
|
|
})
|
|
})
|
|
|
|
describe('Smart Memory Limit Calculation', () => {
|
|
it('should allocate 25% of container memory for queries', () => {
|
|
process.env.CLOUD_RUN_MEMORY = '4Gi'
|
|
|
|
const config = ValidationConfig.getInstance()
|
|
|
|
// 4GB * 0.25 = 1GB for queries
|
|
// 1GB / 100MB = 10 units * 1000 = 10,000 limit
|
|
expect(config.maxLimit).toBe(10000)
|
|
})
|
|
|
|
it('should respect absolute maximum of 100k', () => {
|
|
// Simulate huge container
|
|
process.env.MEMORY_LIMIT = String(100 * 1024 * 1024 * 1024) // 100GB
|
|
|
|
const config = ValidationConfig.getInstance()
|
|
|
|
// Should cap at 100,000 even with huge memory
|
|
expect(config.maxLimit).toBe(100000)
|
|
})
|
|
|
|
it('should handle small containers gracefully', () => {
|
|
process.env.CLOUD_RUN_MEMORY = '512Mi' // Use 512MB instead of 128MB for realistic test
|
|
|
|
const config = ValidationConfig.getInstance()
|
|
|
|
// 512MB * 0.25 = 128MB for queries
|
|
// 128MB / 100MB = 1.28 floor to 1 * 1000 = 1000 limit
|
|
expect(config.maxLimit).toBeGreaterThan(0)
|
|
expect(config.limitBasis).toBe('containerMemory')
|
|
})
|
|
})
|
|
|
|
describe('Configuration Overrides', () => {
|
|
it('should respect maxQueryLimit override', () => {
|
|
const config = ValidationConfig.getInstance({ maxQueryLimit: 50000 })
|
|
|
|
expect(config.maxLimit).toBe(50000)
|
|
expect(config.limitBasis).toBe('override')
|
|
})
|
|
|
|
it('should respect reservedQueryMemory override', () => {
|
|
// Reserve 1GB for queries
|
|
const config = ValidationConfig.getInstance({
|
|
reservedQueryMemory: 1 * 1024 * 1024 * 1024
|
|
})
|
|
|
|
expect(config.maxLimit).toBe(10000) // 1GB / 100MB * 1000
|
|
expect(config.limitBasis).toBe('reservedMemory')
|
|
})
|
|
|
|
it('should prioritize maxQueryLimit over reservedQueryMemory', () => {
|
|
const config = ValidationConfig.getInstance({
|
|
maxQueryLimit: 25000,
|
|
reservedQueryMemory: 1 * 1024 * 1024 * 1024
|
|
})
|
|
|
|
expect(config.maxLimit).toBe(25000)
|
|
expect(config.limitBasis).toBe('override')
|
|
})
|
|
|
|
it('should cap explicit overrides at 100k for safety', () => {
|
|
const config = ValidationConfig.getInstance({
|
|
maxQueryLimit: 200000 // Try to set above max
|
|
})
|
|
|
|
expect(config.maxLimit).toBe(100000) // Capped
|
|
expect(config.limitBasis).toBe('override')
|
|
})
|
|
})
|
|
|
|
describe('ValidationConfig Reconfiguration', () => {
|
|
it('should reconfigure singleton with new options', () => {
|
|
const config1 = ValidationConfig.getInstance()
|
|
const originalLimit = config1.maxLimit
|
|
|
|
// Reconfigure
|
|
const config2 = ValidationConfig.reconfigure({ maxQueryLimit: 30000 })
|
|
|
|
expect(config2.maxLimit).toBe(30000)
|
|
expect(config2.limitBasis).toBe('override')
|
|
|
|
// Verify singleton updated
|
|
const config3 = ValidationConfig.getInstance()
|
|
expect(config3.maxLimit).toBe(30000)
|
|
})
|
|
|
|
it('should reset singleton', () => {
|
|
const config1 = ValidationConfig.getInstance({ maxQueryLimit: 10000 })
|
|
expect(config1.maxLimit).toBe(10000)
|
|
|
|
ValidationConfig.reset()
|
|
|
|
const config2 = ValidationConfig.getInstance()
|
|
// Should recalculate based on system memory
|
|
expect(config2.maxLimit).not.toBe(10000)
|
|
})
|
|
})
|
|
|
|
describe('Brain Integration', () => {
|
|
it('should configure memory limits via Brain constructor', async () => {
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
maxQueryLimit: 15000,
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
expect(stats.limits.maxQueryLimit).toBe(15000)
|
|
expect(stats.limits.basis).toBe('override')
|
|
expect(stats.config.maxQueryLimit).toBe(15000)
|
|
|
|
await brain.close()
|
|
})
|
|
|
|
it('should configure reserved memory via Brain constructor', async () => {
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
reservedQueryMemory: 500 * 1024 * 1024, // 500MB
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
// 500MB / 100MB * 1000 = 5000
|
|
expect(stats.limits.maxQueryLimit).toBe(5000)
|
|
expect(stats.limits.basis).toBe('reservedMemory')
|
|
expect(stats.config.reservedQueryMemory).toBe(500 * 1024 * 1024)
|
|
|
|
await brain.close()
|
|
})
|
|
|
|
it('should auto-detect container limits when no config provided', async () => {
|
|
process.env.CLOUD_RUN_MEMORY = '2Gi'
|
|
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
expect(stats.memory.containerLimit).toBe(2 * 1024 * 1024 * 1024)
|
|
expect(stats.limits.basis).toBe('containerMemory')
|
|
// 2GB * 0.25 = 500MB -> 5000 limit
|
|
expect(stats.limits.maxQueryLimit).toBe(5000)
|
|
|
|
await brain.close()
|
|
})
|
|
})
|
|
|
|
describe('getMemoryStats() API', () => {
|
|
it('should return complete memory statistics', async () => {
|
|
process.env.CLOUD_RUN_MEMORY = '4Gi'
|
|
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
maxQueryLimit: 20000,
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
// Memory stats
|
|
expect(stats.memory).toHaveProperty('heapUsed')
|
|
expect(stats.memory).toHaveProperty('heapTotal')
|
|
expect(stats.memory).toHaveProperty('external')
|
|
expect(stats.memory).toHaveProperty('rss')
|
|
expect(stats.memory).toHaveProperty('free')
|
|
expect(stats.memory).toHaveProperty('total')
|
|
expect(stats.memory).toHaveProperty('containerLimit')
|
|
|
|
expect(stats.memory.containerLimit).toBe(4 * 1024 * 1024 * 1024)
|
|
|
|
// Limits
|
|
expect(stats.limits.maxQueryLimit).toBe(20000)
|
|
expect(stats.limits.basis).toBe('override')
|
|
expect(stats.limits.maxQueryLength).toBeGreaterThan(0)
|
|
expect(stats.limits.maxVectorDimensions).toBe(384)
|
|
|
|
// Config
|
|
expect(stats.config.maxQueryLimit).toBe(20000)
|
|
|
|
// Recommendations
|
|
expect(Array.isArray(stats.recommendations)).toBe(true)
|
|
|
|
await brain.close()
|
|
})
|
|
|
|
it('should provide recommendations when appropriate', async () => {
|
|
// Large container but using free memory basis
|
|
process.env.CLOUD_RUN_MEMORY = '4Gi'
|
|
|
|
// Don't set overrides, let it use containerMemory
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
expect(stats.recommendations).toBeDefined()
|
|
expect(stats.recommendations!.length).toBeGreaterThanOrEqual(0)
|
|
|
|
await brain.close()
|
|
})
|
|
|
|
it('should handle browser environment gracefully', async () => {
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
// Should not crash in any environment
|
|
expect(stats).toBeDefined()
|
|
expect(stats.limits).toBeDefined()
|
|
|
|
await brain.close()
|
|
})
|
|
})
|
|
|
|
describe('Production Scenarios', () => {
|
|
it('should handle 4GB Cloud Run container optimally', async () => {
|
|
process.env.CLOUD_RUN_MEMORY = '4Gi'
|
|
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
// Should allocate 1GB (25% of 4GB) for queries
|
|
expect(stats.memory.containerLimit).toBe(4 * 1024 * 1024 * 1024)
|
|
expect(stats.limits.maxQueryLimit).toBe(10000)
|
|
expect(stats.limits.basis).toBe('containerMemory')
|
|
|
|
await brain.close()
|
|
})
|
|
|
|
it('should allow manual override for power users', async () => {
|
|
process.env.CLOUD_RUN_MEMORY = '4Gi'
|
|
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
maxQueryLimit: 50000, // Power user wants higher limit
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
expect(stats.limits.maxQueryLimit).toBe(50000)
|
|
expect(stats.limits.basis).toBe('override')
|
|
|
|
// Should note override in recommendations
|
|
const overrideNote = stats.recommendations?.find(r => r.includes('override'))
|
|
expect(overrideNote).toBeDefined()
|
|
|
|
await brain.close()
|
|
})
|
|
|
|
it('should handle bare metal deployment (no container)', async () => {
|
|
// No container env vars
|
|
|
|
const brain = new Brainy({
|
|
storage: { type: 'memory' },
|
|
silent: true
|
|
})
|
|
|
|
await brain.init()
|
|
|
|
const stats = brain.getMemoryStats()
|
|
|
|
expect(stats.memory.containerLimit).toBeNull()
|
|
expect(stats.limits.basis).toBe('freeMemory')
|
|
expect(stats.limits.maxQueryLimit).toBeGreaterThan(0)
|
|
|
|
await brain.close()
|
|
})
|
|
})
|
|
})
|