Changes: - Fix README.md agent counts (48 QE agents = 41 main + 7 subagents) - Fix README.md skill counts (15 QE-specific skills) - Fix v3/README.md agent counts (47 → 48) - Fix init-wizard.ts hooks from 'npx @agentic-qe/v3' to 'npx agentic-qe' - Complete v2 → v2/ folder reorganization (54 items moved) - Update root package.json to point to v3 as main version Verified claims: - 48 QE agents (41 main + 7 TDD subagents) - 15 QE-specific skills - 12 DDD bounded contexts - ~5,600+ tests - HNSW, ReasoningBank, Queen Coordinator features exist Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
3.6 KiB
Database Init Implementation - Extraction Report
Summary
Successfully extracted all database initialization code from the old monolithic src/cli/commands/init.ts into the new modular src/cli/init/database-init.ts.
Implemented Functions
1. initializeDatabases(config: FleetConfig) - Main Entry Point
- Orchestrates all database initialization in correct order
- Calls 4 sub-initialization functions sequentially
2. initializeMemoryDatabase() - Memory Manager
Extracted from: init.ts line 2048-2068
- Creates SwarmMemoryManager database at
.agentic-qe/memory.db - Initializes 12 tables for persistent memory storage
- Implements 5 access control levels (private, team, swarm, public, system)
- Dynamic import of SwarmMemoryManager
- Verifies initialization with stats check
- Proper cleanup with
close()
3. initializeAgentDB(config: FleetConfig) - Learning System
Extracted from: init.ts line 2010-2041
- Creates AgentDB database at
.agentic-qe/agentdb.db - Replaces deprecated patterns.db with vector-based learning
- Configuration:
enableLearning: trueenableReasoning: truecacheSize: 1000quantizationType: 'scalar'
- HNSW vector search enabled (150x faster)
- Reflexion pattern + Q-values for learning
- Used by all 18 QE agents
- CRITICAL: Calls
initialize()beforegetStats()
4. initializeLearningSystem(config: FleetConfig) - Learning Config
Extracted from: init.ts line 2073-2110
- Creates
.agentic-qe/config/learning.jsonwith full configuration:- Learning rate: 0.1
- Discount factor: 0.95
- Exploration rate: 0.2 (with decay)
- Target improvement: 20%
- Replay buffer: 10,000 entries
- Batch size: 32
- Creates
.agentic-qe/data/learning/directory - Creates learning state JSON with version tracking
5. initializeImprovementLoop(config: FleetConfig) - A/B Testing
Extracted from: init.ts line 2226-2267
- Creates
.agentic-qe/config/improvement.jsonwith:- 1-hour cycle interval
- A/B testing enabled (sample size: 100)
- Auto-apply disabled (requires user approval)
- 3 optimization strategies (parallel, retry, resource)
- Statistical significance testing (p < 0.05)
- Creates improvement state JSON at
.agentic-qe/data/improvement/state.json
Implementation Details
Imports Added
import * as path from 'path';
import * as fs from 'fs-extra';
import chalk from 'chalk';
import { FleetConfig } from '../../types';
Version Tracking
const packageJson = require('../../../package.json');
const PACKAGE_VERSION = packageJson.version;
Dynamic Imports (Preserved from Original)
import('../../core/memory/AgentDBManager')import('../../core/memory/SwarmMemoryManager')
Verification
✅ No TODOs remaining - All placeholders replaced with real implementation ✅ Build successful - TypeScript compilation passes ✅ Exact code extraction - All logic, error handling, and logging preserved ✅ Database paths preserved - Same paths as original implementation ✅ Configuration values unchanged - All numeric values, thresholds, and settings match
Files Modified
/workspaces/agentic-qe-cf/src/cli/init/database-init.ts- 199 lines (was 33 lines)- Added 4 complete implementation functions
- Added all necessary imports
- Added version tracking
- Removed all TODO comments
Next Steps
This module is now ready to be integrated into the new modular init command flow in src/cli/init/index.ts.
Extraction Date: 2025-11-22
Source: src/cli/commands/init.ts (lines 2010-2267)
Target: src/cli/init/database-init.ts
Status: ✅ Complete