feat(analysis): Implement project analysis engine and CI/CD workflow
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.
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@@ -14,6 +14,10 @@ httpx-sse==0.4.3
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pydantic==2.12.4
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pydantic-settings==2.12.0
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# Code Analysis
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networkx==3.3
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cssutils==2.9.0
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# MCP Protocol (AI Agent Interface)
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mcp==1.23.1
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