DeepSource MCP Server

import { DeepSourceClient } from '../deepsource'; // Create a mock implementation for tests const mockCreateHistoryResponse = ( historyValues: Array<{ timestamp: string; value: number | null }> ) => { // Calculate percent change between first and last values with valid values let firstValidValueIndex = -1; let lastValidValueIndex = -1; for (let i = 0; i < historyValues.length; i++) { if (typeof historyValues[i].value === 'number') { if (firstValidValueIndex === -1) { firstValidValueIndex = i; } lastValidValueIndex = i; } } let changePct = 0; let direction = 'stable'; if ( firstValidValueIndex !== -1 && lastValidValueIndex !== -1 && firstValidValueIndex !== lastValidValueIndex ) { const firstValue = historyValues[firstValidValueIndex].value; const lastValue = historyValues[lastValidValueIndex].value; changePct = ((lastValue - firstValue) / firstValue) * 100; if (Math.abs(changePct) < 0.1) { direction = 'stable'; changePct = 0; } else if (changePct > 0) { direction = 'increasing'; } else { direction = 'decreasing'; } } // Round to 4 decimal places changePct = Math.round(changePct * 10000) / 10000; return { data: historyValues, metadata: { count: historyValues.length, trend: { direction, changePct, }, }, }; }; describe('DeepSource Metric Response Utilities', () => { describe('createMetricHistoryResponse', () => { beforeAll(() => { // Mock implementation ( DeepSourceClient as unknown as { createMetricHistoryResponse: typeof mockCreateHistoryResponse; } ).createMetricHistoryResponse = mockCreateHistoryResponse; }); it('should create a properly structured history response', () => { const historicalData = [ { timestamp: '2023-01-01T00:00:00Z', value: 75.5 }, { timestamp: '2023-01-15T00:00:00Z', value: 80.2 }, { timestamp: '2023-02-01T00:00:00Z', value: 85.0 }, ]; const result = mockCreateHistoryResponse(historicalData); expect(result).toEqual({ data: historicalData, metadata: { count: 3, trend: { direction: 'increasing', changePct: 12.5828, }, }, }); }); it('should calculate decreasing trend correctly', () => { const historicalData = [ { timestamp: '2023-01-01T00:00:00Z', value: 90.0 }, { timestamp: '2023-01-15T00:00:00Z', value: 85.5 }, { timestamp: '2023-02-01T00:00:00Z', value: 75.0 }, ]; const result = mockCreateHistoryResponse(historicalData); expect(result.metadata.trend).toEqual({ direction: 'decreasing', changePct: -16.6667, }); }); it('should detect stable trend when values are unchanged', () => { const historicalData = [ { timestamp: '2023-01-01T00:00:00Z', value: 85.5 }, { timestamp: '2023-01-15T00:00:00Z', value: 85.5 }, { timestamp: '2023-02-01T00:00:00Z', value: 85.5 }, ]; const result = mockCreateHistoryResponse(historicalData); expect(result.metadata.trend).toEqual({ direction: 'stable', changePct: 0.0, }); }); it('should handle empty data array', () => { const result = mockCreateHistoryResponse([]); expect(result).toEqual({ data: [], metadata: { count: 0, trend: { direction: 'stable', changePct: 0.0, }, }, }); }); it('should handle data with single entry', () => { const historicalData = [{ timestamp: '2023-01-01T00:00:00Z', value: 85.5 }]; const result = mockCreateHistoryResponse(historicalData); expect(result).toEqual({ data: historicalData, metadata: { count: 1, trend: { direction: 'stable', changePct: 0.0, }, }, }); }); it('should treat very small changes as stable trend', () => { const historicalData = [ { timestamp: '2023-01-01T00:00:00Z', value: 85.5 }, { timestamp: '2023-01-15T00:00:00Z', value: 85.51 }, ]; const result = mockCreateHistoryResponse(historicalData); // Even though there's a tiny change, it should be less than the threshold // for considering something a meaningful change expect(result.metadata.trend.direction).toBe('stable'); }); it('should round percentage changes to 4 decimal places', () => { const historicalData = [ { timestamp: '2023-01-01T00:00:00Z', value: 10 }, { timestamp: '2023-02-01T00:00:00Z', value: 13.333333 }, ]; const result = mockCreateHistoryResponse(historicalData); expect(result.metadata.trend.changePct).toEqual(33.3333); }); it('should handle data without timestamp values', () => { const historicalData = [{ value: 75.5 }, { value: 80.2 }, { value: 85.0 }]; const result = mockCreateHistoryResponse(historicalData); expect(result).toEqual({ data: historicalData, metadata: { count: 3, trend: { direction: 'increasing', changePct: 12.5828, }, }, }); }); it('should handle data with missing value properties', () => { const historicalData = [ { timestamp: '2023-01-01T00:00:00Z' }, { timestamp: '2023-01-15T00:00:00Z', value: 80.2 }, { timestamp: '2023-02-01T00:00:00Z', value: 85.0 }, ]; const result = mockCreateHistoryResponse(historicalData); // Should calculate based on the two valid values expect(result.metadata.trend).toEqual({ direction: 'increasing', changePct: 5.985, }); }); it('should find first and last valid values for trend calculation', () => { const historicalData = [ { timestamp: '2023-01-01T00:00:00Z' }, // Missing value { timestamp: '2023-01-15T00:00:00Z', value: 80.2 }, // First valid value { value: 82.5 }, // Missing timestamp { timestamp: '2023-02-01T00:00:00Z', value: 85.0 }, // Last valid value { timestamp: '2023-02-15T00:00:00Z' }, // Missing value ]; const result = mockCreateHistoryResponse(historicalData); // Should calculate based on first valid value (80.2) and last valid value (85.0) expect(result.metadata.trend).toEqual({ direction: 'increasing', changePct: 5.985, }); }); }); });