Completely removed the database context recall system while preserving database tables for safety. This major cleanup removes 80+ files and 16,831 lines of code. What was removed: - API layer: 4 routers (conversation-contexts, context-snippets, project-states, decision-logs) with 35+ endpoints - Database models: 5 models (ConversationContext, ContextSnippet, DecisionLog, ProjectState, ContextTag) - Services: 4 service layers with business logic - Schemas: 4 Pydantic schema files - Claude Code hooks: 13 hook files (user-prompt-submit, task-complete, sync-contexts, periodic saves) - Scripts: 15+ scripts (import, migration, testing, tombstone checking) - Tests: 5 test files (context recall, compression, diagnostics) - Documentation: 30+ markdown files (guides, architecture, quick starts) - Utilities: context compression, conversation parsing Files modified: - api/main.py: Removed router registrations - api/models/__init__.py: Removed model imports - api/schemas/__init__.py: Removed schema imports - api/services/__init__.py: Removed service imports - .claude/claude.md: Completely rewritten without context references Database tables preserved: - conversation_contexts, context_snippets, context_tags, project_states, decision_logs (5 orphaned tables remain for safety) - Migration created but NOT applied: 20260118_172743_remove_context_system.py - Tables can be dropped later when confirmed not needed New files added: - CONTEXT_SYSTEM_REMOVAL_SUMMARY.md: Detailed removal report - CONTEXT_SYSTEM_REMOVAL_COMPLETE.md: Final status - CONTEXT_EXPORT_RESULTS.md: Export attempt results - scripts/export-tombstoned-contexts.py: Export tool for future use - migrations/versions/20260118_172743_remove_context_system.py Impact: - Reduced from 130 to 95 API endpoints - Reduced from 43 to 38 active database tables - Removed 16,831 lines of code - System fully operational without context recall Reason for removal: - System was not actively used (no tombstoned contexts found) - Reduces codebase complexity - Focuses on core MSP work tracking functionality - Database preserved for safety (can rollback if needed) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
4.2 KiB
4.2 KiB
ClaudeTools Scripts
Utility scripts for managing the ClaudeTools system.
Core Scripts
Context Recall System
setup-context-recall.sh
- One-time setup for context recall system
- Configures JWT authentication
- Tests API connectivity
test-context-recall.sh
- Verify context recall system functionality
- Test API endpoints
- Check compression
Conversation Import & Archive
import-conversations.py
- Import conversation JSONL files to database
- Extract and compress conversation context
- Tag extraction and categorization
- Optional tombstone creation with
--create-tombstones
archive-imported-conversations.py
- Archive imported conversation files
- Create tombstone markers
- Move files to archived/ subdirectories
- Database verification (optional)
check-tombstones.py
- Verify tombstone integrity
- Validate JSON structure
- Check archived files exist
- Database context verification
TOMBSTONE_QUICK_START.md
- Quick reference for tombstone system
- Common commands
- Troubleshooting tips
Database & Testing
test_db_connection.py
- Test database connectivity
- Verify credentials
- Check table access
test-server.sh
- Start development server
- Run basic API tests
MCP Servers
setup-mcp-servers.sh
- Configure Model Context Protocol servers
- Setup GitHub, Filesystem, Sequential Thinking
Tombstone System (NEW)
Archive imported conversation files with small marker files.
Quick Start
# Archive all imported files
python scripts/archive-imported-conversations.py --skip-verification
# Verify tombstones
python scripts/check-tombstones.py
# Check space savings
du -sh imported-conversations/
Documentation
TOMBSTONE_QUICK_START.md- Quick reference../TOMBSTONE_SYSTEM.md- Complete documentation../TOMBSTONE_IMPLEMENTATION_SUMMARY.md- Implementation details
Expected Results
- 549 tombstone files (~1 MB)
- 549 archived files in subdirectories
- 99%+ space reduction in active directory
Usage Patterns
Initial Setup
# 1. Setup context recall
bash scripts/setup-context-recall.sh
# 2. Setup MCP servers (optional)
bash scripts/setup-mcp-servers.sh
# 3. Test database connection
python scripts/test_db_connection.py
Import Conversations
# Import with automatic tombstones
python scripts/import-conversations.py --create-tombstones
# Or import first, archive later
python scripts/import-conversations.py
python scripts/archive-imported-conversations.py --skip-verification
Verify System
# Test context recall
bash scripts/test-context-recall.sh
# Check tombstones
python scripts/check-tombstones.py
# Test API
bash scripts/test-server.sh
Script Categories
Setup & Configuration
setup-context-recall.shsetup-mcp-servers.sh
Import & Archive
import-conversations.pyarchive-imported-conversations.pycheck-tombstones.py
Testing & Verification
test_db_connection.pytest-context-recall.shtest-server.shtest-tombstone-system.sh
Utilities
- Various helper scripts
Common Commands
# Start API server
uvicorn api.main:app --reload
# Import conversations
python scripts/import-conversations.py
# Archive files
python scripts/archive-imported-conversations.py --skip-verification
# Check system health
python scripts/check-tombstones.py
bash scripts/test-context-recall.sh
# Database connection test
python scripts/test_db_connection.py
Requirements
Most scripts require:
- Python 3.8+
- Virtual environment activated (
api\venv\Scripts\activate) .envfile configured (see.env.example)- Database access (172.16.3.30:3306)
Environment Variables
Scripts use these from .env:
DATABASE_URL=mysql+pymysql://user:pass@172.16.3.30:3306/claudetools
JWT_TOKEN=your-jwt-token-here
API_USER_EMAIL=user@example.com
API_USER_PASSWORD=your-password
Documentation
TOMBSTONE_QUICK_START.md- Tombstone system quick start../TOMBSTONE_SYSTEM.md- Complete tombstone documentation../.claude/CONTEXT_RECALL_QUICK_START.md- Context recall guide../CONTEXT_RECALL_SETUP.md- Full setup instructions
Last Updated: 2026-01-18 Version: 1.0