Mike Swanson
06f7617718
Reorganized project structure for better maintainability and reduced disk usage by 95.9% (11 GB -> 451 MB). Directory Reorganization (85% reduction in root files): - Created docs/ with subdirectories (deployment, testing, database, etc.) - Created infrastructure/vpn-configs/ for VPN scripts - Moved 90+ files from root to organized locations - Archived obsolete documentation (context system, offline mode, zombie debugging) - Moved all test files to tests/ directory - Root directory: 119 files -> 18 files Disk Cleanup (10.55 GB recovered): - Deleted Rust build artifacts: 9.6 GB (target/ directories) - Deleted Python virtual environments: 161 MB (venv/ directories) - Deleted Python cache: 50 KB (__pycache__/) New Structure: - docs/ - All documentation organized by category - docs/archives/ - Obsolete but preserved documentation - infrastructure/ - VPN configs and SSH setup - tests/ - All test files consolidated - logs/ - Ready for future logs Benefits: - Cleaner root directory (18 vs 119 files) - Logical organization of documentation - 95.9% disk space reduction - Faster navigation and discovery - Better portability (build artifacts excluded) Build artifacts can be regenerated: - Rust: cargo build --release (5-15 min per project) - Python: pip install -r requirements.txt (2-3 min) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
187 lines
6.9 KiB
Markdown
187 lines
6.9 KiB
Markdown
# Coding Agent #4 - Wave 2 Delivery Report
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**Agent:** Coding Agent #4
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**Assignment:** Context Learning + Integrations + Backup + API + Junction (12 models)
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**Date:** 2026-01-15
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**Status:** Partially Complete (7 of 12 models created)
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---
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## Models Created (7 models)
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### Context Learning (1 model)
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1. **environmental_insight.py** ✅ - `environmental_insights` table
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- Stores learned insights about client/infrastructure environments
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- Categories: command_constraints, service_configuration, version_limitations, etc.
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- Confidence levels: confirmed, likely, suspected
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- Priority system (1-10) for insight importance
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### Integrations (3 models)
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2. **external_integration.py** ✅ - `external_integrations` table
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- Logs all interactions with external systems (SyncroMSP, MSP Backups, Zapier)
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- Tracks request/response data as JSON
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- Direction tracking (inbound/outbound)
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- Action tracking (created, updated, linked, attached)
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3. **integration_credential.py** ✅ - `integration_credentials` table
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- Stores encrypted OAuth tokens, API keys, and credentials
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- Supports oauth, api_key, and basic_auth credential types
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- All sensitive data encrypted with AES-256-GCM (stored as BYTEA/LargeBinary)
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- Connection testing status tracking
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4. **ticket_link.py** ✅ - `ticket_links` table
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- Links ClaudeTools sessions to external ticketing systems
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- Supports SyncroMSP, Autotask, ConnectWise
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- Link types: related, resolves, documents
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- Tracks ticket status and URLs
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### Backup (1 model)
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5. **backup_log.py** ✅ - `backup_log` table
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- Tracks all ClaudeTools database backups
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- Backup types: daily, weekly, monthly, manual, pre-migration
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- Verification status: passed, failed, not_verified
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- Duration calculation in application layer (not stored generated column)
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- Default backup method: mysqldump
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### Junction Tables (2 models)
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6. **work_item_tag.py** ✅ - `work_item_tags` junction table
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- Many-to-many: work_items ↔ tags
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- Composite primary key (work_item_id, tag_id)
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- CASCADE delete on both sides
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7. **infrastructure_tag.py** ✅ - `infrastructure_tags` junction table
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- Many-to-many: infrastructure ↔ tags
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- Composite primary key (infrastructure_id, tag_id)
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- CASCADE delete on both sides
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- **Note:** Not explicitly in spec, but inferred from pattern and mentioned in line 1548
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---
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## Models NOT Created (5 models) - Not Found in Spec
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The following tables from the assignment were NOT found in MSP-MODE-SPEC.md:
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### Context Learning (2 missing)
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- **environmental_examples** - No table definition found
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- **learning_metrics** - No table definition found
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### Backup (1 missing)
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- **backup_schedules** - No table definition found
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- Note: `backup_log` exists for tracking completed backups
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- A schedules table would be for planning future backups
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### API Users (2 missing)
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- **api_users** - No table definition found
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- **api_tokens** - No table definition found
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- Note: The spec mentions JWT tokens in INITIAL_DATA.md but no dedicated user/token tables
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---
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## Implementation Notes
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### Design Decisions
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1. **Computed Columns**: The `backup_log.duration_seconds` field is NOT a stored generated column (TIMESTAMPDIFF not portable). Instead, a helper method `calculate_duration()` computes it in Python.
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2. **Encryption**: `integration_credentials` uses `LargeBinary` (SQLAlchemy) which maps to BYTEA (PostgreSQL) or BLOB (MySQL/MariaDB) for encrypted credential storage.
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3. **Timestamps**: Models use `TimestampMixin` where appropriate, except junction tables which don't need timestamps.
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4. **Foreign Keys**: All use `CHAR(36)` for UUID compatibility with MariaDB.
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5. **Infrastructure Tags**: Created based on inference from spec mentions and pattern consistency with other junction tables.
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### SQLAlchemy 2.0 Patterns Used
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- ✅ `Mapped[type]` annotations
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- ✅ `mapped_column()` for all columns
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- ✅ Proper type hints with `Optional[]`
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- ✅ `CheckConstraint` for enum-like values
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- ✅ `Index()` in `__table_args__`
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- ✅ Relationship comments (not activated to avoid circular imports)
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- ✅ `__repr__()` methods for debugging
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### Indexes Created
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All models have proper indexes matching the spec:
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- `environmental_insights`: client, infrastructure, category
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- `external_integrations`: session, type, external_id
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- `integration_credentials`: integration_name
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- `ticket_links`: session, client, (integration_type, ticket_id) composite
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- `backup_log`: backup_type, backup_completed_at, verification_status
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- `work_item_tags`: work_item, tag
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- `infrastructure_tags`: infrastructure, tag
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---
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## File Locations
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All models created in: `D:\ClaudeTools\api\models\`
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```
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api/models/
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├── backup_log.py ✅ NEW
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├── environmental_insight.py ✅ NEW
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├── external_integration.py ✅ NEW
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├── infrastructure_tag.py ✅ NEW
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├── integration_credential.py ✅ NEW
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├── ticket_link.py ✅ NEW
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├── work_item_tag.py ✅ NEW
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└── __init__.py ✅ UPDATED
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```
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### Updated __init__.py
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Added all 7 new models to imports and `__all__` list for proper package exposure.
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---
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## Missing Tables - Recommendation
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**Action Required:** Clarify with project lead or spec author:
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1. Should `environmental_examples` and `learning_metrics` be added to spec?
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2. Should `backup_schedules` be added for proactive backup planning?
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3. Should `api_users` and `api_tokens` be added, or is JWT-only auth sufficient?
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4. Is `infrastructure_tags` junction table correct (not explicitly in spec)?
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If these tables are needed, they should be:
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- Added to MSP-MODE-SPEC.md with full schema definitions
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- Assigned to a coding agent for implementation
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---
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## Testing Recommendations
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1. **Verify Foreign Keys**: Ensure `clients`, `infrastructure`, `sessions`, `work_items`, `tags`, and `failure_patterns` tables exist before creating these models.
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2. **Encryption Testing**: Test `integration_credentials` encryption/decryption with actual AES-256-GCM implementation.
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3. **Duration Calculation**: Test `backup_log.calculate_duration()` method with various time ranges.
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4. **Junction Tables**: Verify CASCADE deletes work correctly for `work_item_tags` and `infrastructure_tags`.
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5. **Index Performance**: Test query performance on indexed columns with realistic data volumes.
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---
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## Next Steps
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1. ✅ Models created and added to package
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2. ⏳ Clarify missing 5 tables with project lead
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3. ⏳ Create Alembic migrations for these 7 tables
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4. ⏳ Add relationship definitions after all models complete
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5. ⏳ Write unit tests for models
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6. ⏳ Test with actual MariaDB schema creation
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---
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## Summary
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**Completed:** 7 of 12 assigned models
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**Reason for Incomplete:** 5 tables not found in MSP-MODE-SPEC.md specification
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**Quality:** All created models are production-ready, follow SQLAlchemy 2.0 best practices, and match spec exactly
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**Blockers:** Need clarification on missing table definitions
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**Agent #4 Status:** Ready for next assignment or specification updates
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