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.
46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
import pytest
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import json
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from pathlib import Path
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from dss.analyze.project_analyzer import run_project_analysis
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def test_run_project_analysis(mock_react_project: Path):
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"""
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Tests the run_project_analysis function to ensure it creates the analysis graph
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and that the graph contains the expected file nodes.
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"""
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# Run the analysis on the mock project
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run_project_analysis(str(mock_react_project))
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# Check if the analysis file was created
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analysis_file = mock_react_project / ".dss" / "analysis_graph.json"
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assert analysis_file.exists(), "The analysis_graph.json file was not created."
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# Load the analysis data
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with open(analysis_file, 'r') as f:
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data = json.load(f)
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# Verify the graph structure
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assert "nodes" in data, "Graph data should contain 'nodes'."
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assert "links" in data, "Graph data should contain 'links'."
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# Get a list of node IDs (which are the relative file paths)
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node_ids = [node['id'] for node in data['nodes']]
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# Check for the presence of the files from the mock project
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expected_files = [
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"package.json",
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"src/App.js",
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"src/components/ComponentA.css",
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"src/components/ComponentA.jsx",
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"src/components/ComponentB.tsx",
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]
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for file_path in expected_files:
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# Path separators might be different on different OSes, so we normalize
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normalized_path = str(Path(file_path))
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assert normalized_path in node_ids, f"Expected file '{normalized_path}' not found in the analysis graph."
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# Verify the number of nodes
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# There should be exactly the number of files we created
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assert len(node_ids) == len(expected_files), "The number of nodes in the graph does not match the number of files."
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