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.
40 lines
614 B
Plaintext
40 lines
614 B
Plaintext
# DSS - Design System Server
|
|
# Python 3.10+ required
|
|
|
|
# Web Framework & API
|
|
fastapi==0.123.0
|
|
uvicorn==0.38.0
|
|
starlette==0.50.0
|
|
|
|
# HTTP Client
|
|
httpx==0.28.1
|
|
httpx-sse==0.4.3
|
|
|
|
# Data Validation
|
|
pydantic==2.12.4
|
|
pydantic-settings==2.12.0
|
|
|
|
# Code Analysis
|
|
networkx==3.3
|
|
cssutils==2.9.0
|
|
|
|
# MCP Protocol (AI Agent Interface)
|
|
mcp==1.23.1
|
|
|
|
# Browser Automation (Chrome DevTools Protocol)
|
|
playwright>=1.40.0
|
|
aiohttp>=3.9.0
|
|
|
|
# Async Support
|
|
anyio==4.12.0
|
|
sse-starlette==3.0.3
|
|
|
|
# Testing (optional, but recommended)
|
|
pytest>=6.2.5
|
|
pytest-asyncio>=0.23.0
|
|
|
|
# Development (optional)
|
|
# black>=23.0.0
|
|
# flake8>=6.0.0
|
|
# mypy>=1.0.0
|