TESTING.md

For testing VSCode extensions that interact with Python files, the second approach (creating temporary test files dynamically) is generally preferred. Here's why: Isolation: Each test runs in a clean environment, preventing interference between tests Maintainability: Test files are created programmatically, making it easier to modify test scenarios Cleaner repository: No need to commit test fixture files Control: Full control over the file state before and after each test Here's an example of how you can structure your tests:

import _ as assert from 'assert'; import _ as vscode from 'vscode'; import _ as path from 'path'; import _ as fs from 'fs-extra'; // You'll need to install this package

describe('Extension Test Suite', () => { let testWorkspaceDir: string;

beforeEach(async () => {
    // Create a temporary directory for each test
    testWorkspaceDir = path.join(__dirname, `../../test-workspace-${Date.now()}`);
    await fs.ensureDir(testWorkspaceDir);
});

afterEach(async () => {
    // Clean up after each test
    await fs.remove(testWorkspaceDir);
});

it('should analyze Python file correctly', async () => {
    // Create test files
    const pythonFile = path.join(testWorkspaceDir, 'test.py');
    await fs.writeFile(pythonFile, `

def hello(): print("Hello, World!") `);

    // Open the file in VSCode
    const document = await vscode.workspace.openTextDocument(pythonFile);
    await vscode.window.showTextDocument(document);

    // Run your extension's functionality
    // ... test your extension ...

    // Assert results
    // ... verify the expected outcome ...
});

it('should handle Python project structure', async () => {
    // Create a more complex project structure
    await fs.ensureDir(path.join(testWorkspaceDir, 'src'));
    await fs.writeFile(
        path.join(testWorkspaceDir, 'src', '__init__.py'),
        ''
    );
    await fs.writeFile(
        path.join(testWorkspaceDir, 'src', 'main.py'),
        'from .utils import helper\n\ndef main():\n    helper()'
    );
    await fs.writeFile(
        path.join(testWorkspaceDir, 'src', 'utils.py'),
        'def helper():\n    print("Helper called")'
    );

    // Test your extension with this project structure
    // ...
});

});

To set up the test environment, you'll need a test runner file:

import * as path from 'path'; import { runTests } from '@vscode/test-electron';

async function main() { try { // The folder containing the Extension Manifest package.json const extensionDevelopmentPath = path.resolve(__dirname, '../../');

    // The path to the extension test script
    const extensionTestsPath = path.resolve(__dirname, './suite/index');

    // Download VS Code, unzip it and run the integration test
    await runTests({
        extensionDevelopmentPath,
        extensionTestsPath,
    });
} catch (err) {
    console.error('Failed to run tests');
    process.exit(1);
}

}

main();

Some additional tips:

1. Use fs-extra instead of the native fs module as it provides more convenient async methods and ensures directories exist Add test utilities to help create common file structures:

export async function createPythonProject(baseDir: string, files: Record<string, string>) { for (const [filePath, content] of Object.entries(files)) { const fullPath = path.join(baseDir, filePath); await fs.ensureDir(path.dirname(fullPath)); await fs.writeFile(fullPath, content); } }

3. Consider using snapshot testing for complex file contents:

import * as snapshot from 'snap-shot-it';

it('should generate correct output', async () => { // ... setup test files ...

const result = await yourExtensionFunction();

snapshot(result);

});

Add VSCode workspace settings for tests if needed:

await fs.writeJSON(path.join(testWorkspaceDir, '.vscode/settings.json'), { "python.analysis.typeCheckingMode": "basic", // ... other settings ... });

This approach gives you: Clean, isolated tests Programmatic control over test scenarios Easy setup and teardown Ability to test complex project structures No pollution of your repository with test fixtures The main trade-off is that you can't easily inspect the test files manually, but you can add debug logging to write the test workspace path to the console when needed, or keep the workspace around by commenting out the cleanup in afterEach during development.