08ce228df1
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DSS Project Analysis / dss-context-update (push) Has been cancelled
- Remove legacy admin-ui/js/ vanilla JS components - Add .dss/ directory with core tokens, skins, themes - Add Storybook configuration and generated stories - Add DSS management scripts (dss-services, dss-init, dss-setup, dss-reset) - Add MCP command definitions for DSS plugin - Add Figma sync architecture and scripts - Update pre-commit hooks with documentation validation - Fix JSON trailing commas in skin files 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
59 lines
5.5 KiB
Markdown
59 lines
5.5 KiB
Markdown
### **Situation Handover to Claude**
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**Context:** The overarching goal is to enhance DSS (Design System Server) with greater intelligence for analyzing and managing React projects, initially by "dogfooding" DSS itself on its own `admin-ui` project.
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**Initial Goal from User:**
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1. Implement a robust Python-based analysis engine (`project_analyzer.py`) for React projects.
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2. Integrate this into the DSS MCP and CLI.
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3. Ensure continuous integration (CI/CD) automates the analysis and commits results (`project_context.json`) back to the repository.
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4. Set up DSS to manage its own `admin-ui` project.
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5. Link core DSS to its Figma UI Kit.
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6. Build a default Storybook skin with DSS atoms and shadcn styles.
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---
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**Actions Taken & Current Status:**
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1. **Analysis Engine & CLI**:
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* **Implemented**: `dss-mvp1/dss/analyze/project_analyzer.py` was created, capable of parsing React/JS/TS files (using a Node.js `@babel/parser` subprocess) and generating a `networkx` graph. It also includes an `export_project_context` function.
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* **Implemented**: `dss-mvp1/dss-cli.py` was created as a command-line interface, including `analyze`, `export-context`, `add-figma-file`, `setup-storybook`, and `sync-tokens` commands.
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* **Implemented**: The `dss-claude-plugin/servers/dss-mcp-server.py` was updated to expose `dss_project_graph_analysis` and `dss_project_export_context` as MCP tools for AI agents.
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* **Implemented**: Unit tests for `project_analyzer.py` were added and are currently passing.
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2. **CI/CD Setup**:
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* **Implemented**: `.gitea/workflows/dss-analysis.yml` was created to automate the `dss-cli.py analyze` and `git commit` process for `project_context.json` on every push.
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* **Verified**: Git hooks were fixed and confirmed to be running.
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* **Verified**: SSH key authentication for Git push was correctly set up after troubleshooting.
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3. **Dogfooding `admin-ui` Project**:
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* **Goal**: Initialize `admin-ui` as a DSS project, generate its analysis context, link it to Figma, and generate Storybook stories.
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* **Status**:
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* `admin-ui/.dss/analysis_graph.json` was successfully created (by `dss-mvp1/dss-cli.py analyze --project-path ./admin-ui`).
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* `admin-ui/ds.config.json` was manually corrected and populated to resolve Pydantic validation errors during project loading.
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* Figma UI Kit `figd_ScdBk47HlYEItZbQv2CcF9aq-3TfWbBXN3yoRKWA` was successfully linked to `admin-ui` (by `dss-mvp1/dss-cli.py add-figma-file --project-path ./admin-ui --file-key ...`).
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* **Token Synchronization (Blocked)**: `dss-mvp1/dss-cli.py sync-tokens --project-path ./admin-ui` fails with `403 Client Error: Forbidden` from Figma API due to a placeholder token. This is expected, as a valid `FIGMA_TOKEN` environment variable is required.
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4. **Storybook Generation (Current Blocker)**:
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* **Goal**: Build a default Storybook skin with DSS atoms and shadcn styles applied.
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* **Expected Tool**: `dss-mvp1/dss-cli.py setup-storybook --action generate --project-path ./admin-ui`.
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* **Problem**: This command consistently reports `Generated 0 new stories.`
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* **Investigation**:
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* Initial assumption that `dss-mvp1` itself contained components was incorrect.
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* Moved `admin-ui/js/components/ds-button.js` to `admin-ui/src/components/ds-button.js` to match component discovery paths.
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* Re-read `dss/storybook/generator.py` to confirm its logic. It expects components in standard directories like `src/components`.
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* Confirmed that `StoryGenerator.generate` calls `generate_stories_for_directory`, which in turn calls `_parse_component`.
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* Despite placing `ds-button.js` in a recognized path, `0 new stories` are still being generated.
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* The `StoryGenerator` logic in `dss/storybook/generator.py` inspects component files, but it relies on specific patterns (e.g., `interface ButtonProps`, `children`) to extract `PropInfo` and `ComponentMeta`. The output of `@babel/parser` is not currently being used by `StoryGenerator` to populate `ComponentMeta`.
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**The core issue preventing Storybook generation is that the `StoryGenerator` is unable to correctly parse the provided JavaScript/TypeScript component files and extract the necessary metadata (props, component name, etc.) to create a story.** The integration between the `@babel/parser` output (which is JSON AST) and the `StoryGenerator`'s `_parse_component` method is either missing or misconfigured. The `_parse_component` method appears to be using regex on the raw file content, which might be insufficient or incorrect for the component's structure.
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---
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**Recommendation for Claude:**
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1. **Investigate `dss/storybook/generator.py`**: Focus on the `_parse_component` method. How does it extract `ComponentMeta` from the component file? It currently uses regex, which is fragile.
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2. **Integrate Babel AST**: The `@babel/parser` subprocess call already produces a full AST. The `_parse_component` method should be updated to consume and interpret this AST to reliably extract component metadata (name, props, children, description). This would be much more robust than regex.
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3. **Validate Component Structure**: Ensure the `ds-button.js` (or any target component) has a structure that the updated parser can understand and extract metadata from.
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4. **Re-run Storybook Generation**: Once `_parse_component` can correctly extract metadata, re-run `setup-storybook --action generate` to confirm stories are created.
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I have included the contents of `dss/storybook/generator.py` for direct reference. |