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https://github.com/proffesor-for-testing/agentic-qe.git
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346438f0de
* SwarmMemoryManager Refactoring Plan * fix: add missing directories to npm package (v1.9.3) Added templates/, .claude/helpers/, and docs/reference/ to package.json files array. These were missing from the npm distribution, causing `aqe init` to fail with "Template file not found" errors. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * checkpoint improvements * fix: critical memory/learning system fixes for v1.9.4 ## Critical Fixes - Vector embeddings now stored correctly (was storing NULL) - SQL parameter style fixed for agentdb's SqlJsDatabase wrapper - HNSW index schema mismatch resolved with pattern_id column - Hooks now save to correct database (.agentic-qe/agentdb.db) ## New Features - Added 5 SwarmMemoryManager methods for learning data retrieval: - getBestAction() - Q-learning best action selection - getRecentLearningExperiences() - Recent experience retrieval - getLearningExperiencesByTaskType() - Task-filtered experiences - getHighRewardExperiences() - Successful experience extraction - getLearningStats() - Aggregate learning statistics - Added comprehensive integration test for memory/learning loop - Added RuVector pattern store integration (experimental) ## Technical Details - Vector embeddings: 384 dimensions × 4 bytes = 1,536 bytes per pattern - All 12 integration tests pass - HNSW index: 150x faster vector search enabled 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: move ARM64-only ruvector packages to optionalDependencies Fixes CI failures caused by platform-specific dependencies: - @ruvector/node-linux-arm64-gnu (ARM64 only) - ruvector-core-linux-arm64-gnu (ARM64 only) These packages caused npm ci to fail on x64 CI runners with: "EBADPLATFORM - wanted linux/arm64, current linux/x64" Solution: Move ARM64 packages to optionalDependencies and add x64 variants for cross-platform compatibility. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * chore: regenerate package-lock.json with x64 ruvector packages Updates lockfile to include optional x64 platform packages for CI compatibility: - @ruvector/node-linux-x64-gnu@0.1.17 - ruvector-core-linux-x64-gnu@0.1.15 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: replace fake QUIC with proper implementation and clean up skills manifest QUIC Transport: - Remove fake HTTP/2-based QUICTransport.ts that pretended to be QUIC - Add proper QUIC implementation via Rust/WASM (@agentic-flow/quic-wasm) - Add WebSocket fallback transport for when WASM unavailable - Add dedicated type declarations for optional WASM module - Features: 0-RTT connection, stream multiplexing, TLS 1.3 built-in Skills Manifest: - Rewrite skills-manifest.json with only QE skills (41 skills) - Remove Claude Flow platform skills (agentdb-*, flow-nexus-*, github-*, etc.) - Organize into proper categories: qe-core, testing-methodologies, etc. Bug Fixes: - Fix UnifiedMemoryCoordinator.ts TypeScript errors - Use Logger.getInstance() instead of private constructor - Use swarmMemory.query() instead of non-existent list() method - Use correct close() method signatures for backends 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add QX Partner agent, compact subagents, fix CLAUDE.md dynamic counts - Add QX Partner agent for Quality Experience analysis combining QA + UX perspectives - Compact 9 subagent definitions to ~80 lines each (88% reduction) - Fix CLAUDE.md template to dynamically count agents (including subagents) and skills - Move CLAUDE.md creation after parallel phases for accurate counts - Remove 'Production-Ready' claim from README and CHANGELOG - Clean up backup files and move docs to proper directory Initialization now correctly reports: - 31 QE Agents (20 main + 11 subagents) - 53 QE Skills - 8 Slash Commands 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
104 lines
3.6 KiB
Markdown
104 lines
3.6 KiB
Markdown
# Database Init Implementation - Extraction Report
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## Summary
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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`.
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## Implemented Functions
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### 1. `initializeDatabases(config: FleetConfig)` - Main Entry Point
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- Orchestrates all database initialization in correct order
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- Calls 4 sub-initialization functions sequentially
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### 2. `initializeMemoryDatabase()` - Memory Manager
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**Extracted from**: `init.ts` line 2048-2068
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- Creates SwarmMemoryManager database at `.agentic-qe/memory.db`
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- Initializes 12 tables for persistent memory storage
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- Implements 5 access control levels (private, team, swarm, public, system)
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- Dynamic import of SwarmMemoryManager
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- Verifies initialization with stats check
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- Proper cleanup with `close()`
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### 3. `initializeAgentDB(config: FleetConfig)` - Learning System
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**Extracted from**: `init.ts` line 2010-2041
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- Creates AgentDB database at `.agentic-qe/agentdb.db`
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- Replaces deprecated patterns.db with vector-based learning
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- Configuration:
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- `enableLearning: true`
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- `enableReasoning: true`
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- `cacheSize: 1000`
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- `quantizationType: 'scalar'`
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- HNSW vector search enabled (150x faster)
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- Reflexion pattern + Q-values for learning
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- Used by all 18 QE agents
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- CRITICAL: Calls `initialize()` before `getStats()`
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### 4. `initializeLearningSystem(config: FleetConfig)` - Learning Config
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**Extracted from**: `init.ts` line 2073-2110
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- Creates `.agentic-qe/config/learning.json` with full configuration:
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- Learning rate: 0.1
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- Discount factor: 0.95
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- Exploration rate: 0.2 (with decay)
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- Target improvement: 20%
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- Replay buffer: 10,000 entries
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- Batch size: 32
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- Creates `.agentic-qe/data/learning/` directory
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- Creates learning state JSON with version tracking
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### 5. `initializeImprovementLoop(config: FleetConfig)` - A/B Testing
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**Extracted from**: `init.ts` line 2226-2267
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- Creates `.agentic-qe/config/improvement.json` with:
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- 1-hour cycle interval
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- A/B testing enabled (sample size: 100)
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- Auto-apply disabled (requires user approval)
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- 3 optimization strategies (parallel, retry, resource)
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- Statistical significance testing (p < 0.05)
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- Creates improvement state JSON at `.agentic-qe/data/improvement/state.json`
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## Implementation Details
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### Imports Added
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```typescript
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import * as path from 'path';
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import * as fs from 'fs-extra';
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import chalk from 'chalk';
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import { FleetConfig } from '../../types';
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```
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### Version Tracking
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```typescript
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const packageJson = require('../../../package.json');
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const PACKAGE_VERSION = packageJson.version;
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```
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### Dynamic Imports (Preserved from Original)
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- `import('../../core/memory/AgentDBManager')`
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- `import('../../core/memory/SwarmMemoryManager')`
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## Verification
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✅ **No TODOs remaining** - All placeholders replaced with real implementation
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✅ **Build successful** - TypeScript compilation passes
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✅ **Exact code extraction** - All logic, error handling, and logging preserved
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✅ **Database paths preserved** - Same paths as original implementation
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✅ **Configuration values unchanged** - All numeric values, thresholds, and settings match
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## Files Modified
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- `/workspaces/agentic-qe-cf/src/cli/init/database-init.ts` - 199 lines (was 33 lines)
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- Added 4 complete implementation functions
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- Added all necessary imports
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- Added version tracking
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- Removed all TODO comments
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## Next Steps
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This module is now ready to be integrated into the new modular init command flow in `src/cli/init/index.ts`.
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---
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**Extraction Date**: 2025-11-22
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**Source**: `src/cli/commands/init.ts` (lines 2010-2267)
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**Target**: `src/cli/init/database-init.ts`
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**Status**: ✅ Complete
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