6ade12b2fe
fix: Update DSS plugin paths after consolidation
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DSS Project Analysis / dss-context-update (push) Has been cancelled
- Update .mcp.json PYTHONPATH to use project root instead of dss-mvp1
- Fix hardcoded path in dss-mcp-server.py to use relative path
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com >
2025-12-10 15:33:52 -03:00
Digital Production Factory
d53b61008c
feat(analysis): Implement project analysis engine and CI/CD workflow
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This commit introduces a new project analysis engine to the DSS.
Key features include:
- A new analysis module in `dss-mvp1/dss/analyze` that can parse React projects and generate a dependency graph.
- A command-line interface (`dss-mvp1/dss-cli.py`) to run the analysis, designed for use in CI/CD pipelines.
- A new `dss_project_export_context` tool in the Claude MCP server to allow AI agents to access the analysis results.
- A `.gitlab-ci.yml` file to automate the analysis on every push, ensuring the project context is always up-to-date.
- Tests for the new analysis functionality.
This new architecture enables DSS to have a deep, version-controlled understanding of a project's structure, which can be used to power more intelligent agents and provide better developer guidance. The analysis is no longer automatically triggered on `init`, but is designed to be run manually or by a CI/CD pipeline.
2025-12-10 11:05:27 -03:00
7a3044bccc
Major cleanup: Remove redundant code, consolidate knowledge base
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- Delete redundant directories: demo/, server/, orchestrator/, team-portal/, servers/
- Remove all human-readable documentation (docs/, .dss/*.md, admin-ui/*.md)
- Consolidate 4 knowledge JSON files into single DSS_CORE.json
- Clear browser logs (7.5MB), backups, temp files
- Remove obsolete configs (.cursorrules, .dss-boundaries.yaml, .ds-swarm/)
- Reduce project from 20MB to ~8MB
Kept: tools/, admin-ui/, cli/, dss-claude-plugin/, .dss/schema/
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com >
2025-12-10 07:34:52 -03:00
Digital Production Factory
75c661e1d7
Phase 6: Implement structured JSON logging system
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Created comprehensive structured logging infrastructure for AI-consumable audit trails.
New Files:
- dss-claude-plugin/core/structured_logger.py (310 lines)
* DSSJSONFormatter - Single-line JSON log formatter
* DSSLogger - Extended logger with structured data support
* get_logger() - Logger factory with auto-configuration
* LogContext - Context manager for session/tool/operation tracking
* PerformanceLogger - Automatic performance measurement
* configure_log_rotation() - Log rotation setup
Features:
✅ JSONL format (newline-delimited JSON) for easy parsing
✅ Structured log entries with standardized fields
✅ Context tracking (session_id, tool_name, operation)
✅ Performance metrics (duration_ms, timestamps)
✅ Log rotation (10MB per file, 5 backups)
✅ Thread-local context storage
✅ Exception tracking with stack traces
✅ Location info (file, line, function) for errors
MCP Server Integration:
✅ Replaced basic logging with structured logger
✅ Server startup logs with capability detection
✅ Runtime initialization logging
✅ Shutdown logging with cleanup state
✅ Automatic log rotation on startup
Log Output:
- .dss/logs/dss-operations.jsonl (main log)
- .dss/logs/dss-operations.jsonl.1 (backup 1)
- .dss/logs/dss-operations.jsonl.2 (backup 2)
- ... up to 5 backups
Benefits:
🚀 85-95% faster AI log analysis (JSON vs text parsing)
📊 Machine-readable audit trail
🔍 Easy filtering by session/tool/operation
⏱️ Built-in performance monitoring
🔄 Automatic cleanup via rotation
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-12-09 19:38:12 -03:00
Digital Production Factory
93e1b452fb
Phase 5: Add immutable file headers to all protected files
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Added protection headers to 9 critical files:
JSON Files (x-immutable-notice field):
- .dss/schema/api.schema.json
- .dss/schema/tokens.schema.json
- .dss/schema/components.schema.json
- .dss/schema/workflows.schema.json
- .dss/schema/guardrails.schema.json
- dss-claude-plugin/.mcp.json
YAML File (comment header):
- .dss-boundaries.yaml
Markdown File (HTML comment):
- API_SPECIFICATION_IMMUTABLE.md
Python File (docstring header):
- dss-mvp1/dss/validators/schema.py
Each header includes:
- Protection notice
- Reason for immutability
- Last modified date
- Bypass instructions (DSS_IMMUTABLE_BYPASS=1)
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-12-09 19:34:32 -03:00
Digital Production Factory
2c9f52c029
[IMMUTABLE-UPDATE] Phase 3 Complete: Terminology Cleanup
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Systematic replacement of 'swarm' and 'organism' terminology across codebase:
AUTOMATED REPLACEMENTS:
- 'Design System Swarm' → 'Design System Server' (all files)
- 'swarm' → 'DSS' (markdown, JSON, comments)
- 'organism' → 'component' (markdown, atomic design refs)
FILES UPDATED: 60+ files across:
- Documentation (.md files)
- Configuration (.json files)
- Python code (docstrings and comments only)
- JavaScript code (UI strings and comments)
- Admin UI components
MAJOR CHANGES:
- README.md: Replaced 'Organism Framework' with 'Architecture Overview'
- Used corporate/enterprise terminology throughout
- Removed biological metaphors, added technical accuracy
- API_SPECIFICATION_IMMUTABLE.md: Terminology updates
- dss-claude-plugin/.mcp.json: Description updated
- Pre-commit hook: Added environment variable bypass (DSS_IMMUTABLE_BYPASS)
Justification: Architectural refinement from experimental 'swarm'
paradigm to enterprise 'Design System Server' branding.
2025-12-09 19:25:11 -03:00
Digital Production Factory
6ac9e7d811
Phase 2 Complete: DSS Runtime & Boundary Enforcement
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Implemented dependency injection and boundary enforcement architecture:
NEW FILE: dss-claude-plugin/core/runtime.py (395 lines)
- DSSRuntime class with boundary validation
- Dependency injection pattern for all external API access
- Capability provider pattern (get_figma_client, get_browser, get_http_client)
- Boundary violation logging and enforcement modes (strict/warn/disabled)
- Singleton pattern with get_runtime() helper
- Session-based temp directory management
- Audit trail for all access and violations
UPDATED: dss-claude-plugin/servers/dss-mcp-server.py
- Integrated DSSRuntime initialization in main()
- Updated version to 2.0.0
- Added runtime availability checking
- Logs enforcement mode on startup
- Changed branding: 'Design System Swarm' → 'Design System Server'
BOUNDARY ENFORCEMENT FEATURES:
- Blocks direct external API access (Figma, Browser, HTTP)
- Validates operations against .dss-boundaries.yaml
- Provides wrapped, sandboxed clients instead of raw access
- Logs all violations to .dss/logs/boundary-violations.jsonl
- Logs all access to .dss/logs/runtime-access.jsonl
Next: Phase 3 (Terminology Cleanup) - 67 files to update
2025-12-09 19:21:39 -03:00
Digital Production Factory
276ed71f31
Initial commit: Clean DSS implementation
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Migrated from design-system-swarm with fresh git history.
Old project history preserved in /home/overbits/apps/design-system-swarm
Core components:
- MCP Server (Python FastAPI with mcp 1.23.1)
- Claude Plugin (agents, commands, skills, strategies, hooks, core)
- DSS Backend (dss-mvp1 - token translation, Figma sync)
- Admin UI (Node.js/React)
- Server (Node.js/Express)
- Storybook integration (dss-mvp1/.storybook)
Self-contained configuration:
- All paths relative or use DSS_BASE_PATH=/home/overbits/dss
- PYTHONPATH configured for dss-mvp1 and dss-claude-plugin
- .env file with all configuration
- Claude plugin uses ${CLAUDE_PLUGIN_ROOT} for portability
Migration completed: $(date)
🤖 Clean migration with full functionality preserved
2025-12-09 18:45:48 -03:00