Files
dss/dss-mvp1/tests/test_project_analyzer.py
Digital Production Factory d53b61008c 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.
2025-12-10 11:05:27 -03:00

46 lines
1.7 KiB
Python

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