import { describe, expect, it } from 'vitest' import { parseConnectionsData, parseInfrastructureMetrics, parseNumericValue, } from './DatabaseInfrastructureSection.utils' import type { InfraMonitoringMultiResponse, InfraMonitoringSingleResponse, } from '@/data/analytics/infra-monitoring-query' describe('parseNumericValue', () => { it('returns number value as-is', () => { expect(parseNumericValue(42)).toBe(42) expect(parseNumericValue(0)).toBe(0) expect(parseNumericValue(3.14)).toBe(3.14) }) it('parses valid string numbers', () => { expect(parseNumericValue('42')).toBe(42) expect(parseNumericValue('3.14')).toBe(3.14) expect(parseNumericValue('0')).toBe(0) }) it('returns 0 for invalid string values', () => { expect(parseNumericValue('invalid')).toBe(0) expect(parseNumericValue('')).toBe(0) expect(parseNumericValue('NaN')).toBe(0) }) it('returns 0 for undefined', () => { expect(parseNumericValue(undefined)).toBe(0) }) }) describe('parseInfrastructureMetrics', () => { it('returns null for undefined data', () => { expect(parseInfrastructureMetrics(undefined)).toBe(null) }) it('parses valid metrics from response', () => { const mockResponse: InfraMonitoringMultiResponse = { data: [], series: { avg_cpu_usage: { format: 'percent', total: 150, totalAverage: 50, yAxisLimit: 100 }, ram_usage: { format: 'bytes', total: 180, totalAverage: 60, yAxisLimit: 100 }, disk_fs_used_system: { format: 'bytes', total: 20, totalAverage: 20, yAxisLimit: 100, }, disk_fs_used_wal: { format: 'bytes', total: 10, totalAverage: 10, yAxisLimit: 100, }, pg_database_size: { format: 'bytes', total: 30, totalAverage: 30, yAxisLimit: 100, }, disk_fs_size: { format: 'bytes', total: 200, totalAverage: 200, yAxisLimit: 100, }, disk_io_consumption: { format: 'percent', total: 210, totalAverage: 70, yAxisLimit: 100, }, }, } const result = parseInfrastructureMetrics(mockResponse) expect(result).toEqual({ cpu: { current: 50, max: 100 }, ram: { current: 60, max: 100 }, disk: { current: 30, max: 100 }, diskIo: { current: 70, max: 100 }, }) }) it('handles string values in metrics', () => { const mockResponse: InfraMonitoringMultiResponse = { data: [], series: { avg_cpu_usage: { format: 'percent', total: 150, totalAverage: '50.5', yAxisLimit: 100 }, ram_usage: { format: 'bytes', total: 180, totalAverage: '60.8', yAxisLimit: 100 }, disk_fs_used_system: { format: 'bytes', total: 20, totalAverage: '20.4', yAxisLimit: 100, }, disk_fs_used_wal: { format: 'bytes', total: 10, totalAverage: '10.2', yAxisLimit: 100, }, pg_database_size: { format: 'bytes', total: 30, totalAverage: '30.5', yAxisLimit: 100, }, disk_fs_size: { format: 'bytes', total: 200, totalAverage: '200.0', yAxisLimit: 100, }, disk_io_consumption: { format: 'percent', total: 210, totalAverage: '70.2', yAxisLimit: 100, }, }, } const result = parseInfrastructureMetrics(mockResponse) expect(result).toEqual({ cpu: { current: 50.5, max: 100 }, ram: { current: 60.8, max: 100 }, disk: { current: 30.55, max: 100 }, diskIo: { current: 70.2, max: 100 }, }) }) it('returns 0 for missing metrics', () => { const mockResponse: InfraMonitoringMultiResponse = { data: [], series: {}, } const result = parseInfrastructureMetrics(mockResponse) expect(result).toEqual({ cpu: { current: 0, max: 100 }, ram: { current: 0, max: 100 }, disk: { current: 0, max: 100 }, diskIo: { current: 0, max: 100 }, }) }) it('handles partial metrics data', () => { const mockResponse: InfraMonitoringMultiResponse = { data: [], series: { avg_cpu_usage: { format: 'percent', total: 150, totalAverage: 50, yAxisLimit: 100 }, }, } const result = parseInfrastructureMetrics(mockResponse) expect(result).toEqual({ cpu: { current: 50, max: 100 }, ram: { current: 0, max: 100 }, disk: { current: 0, max: 100 }, diskIo: { current: 0, max: 100 }, }) }) it('handles single-response format (legacy)', () => { const mockResponse: InfraMonitoringSingleResponse = { data: [], format: 'percent', total: 150, totalAverage: 50, yAxisLimit: 100, } const result = parseInfrastructureMetrics(mockResponse) expect(result).toEqual({ cpu: { current: 0, max: 100 }, ram: { current: 0, max: 100 }, disk: { current: 0, max: 100 }, diskIo: { current: 0, max: 100 }, }) }) }) describe('parseConnectionsData', () => { it('returns zeros when data is undefined', () => { expect(parseConnectionsData(undefined, undefined)).toEqual({ current: 0, max: 0 }) expect(parseConnectionsData(undefined, { maxConnections: 100 })).toEqual({ current: 0, max: 0, }) }) it('parses connections data correctly', () => { const mockInfraData: InfraMonitoringMultiResponse = { data: [], series: { pg_stat_database_num_backends: { format: 'number', total: 150, totalAverage: 25.5, yAxisLimit: 100, }, }, } const mockMaxData = { maxConnections: 100 } const result = parseConnectionsData(mockInfraData, mockMaxData) expect(result).toEqual({ current: 26, max: 100 }) // 25.5 rounded to 26 }) it('handles string values for connections', () => { const mockInfraData: InfraMonitoringMultiResponse = { data: [], series: { pg_stat_database_num_backends: { format: 'number', total: 150, totalAverage: '30.7', yAxisLimit: 100, }, }, } const mockMaxData = { maxConnections: 100 } const result = parseConnectionsData(mockInfraData, mockMaxData) expect(result).toEqual({ current: 31, max: 100 }) // 30.7 rounded to 31 }) it('returns current connections even when maxConnectionsData is undefined', () => { const mockInfraData: InfraMonitoringMultiResponse = { data: [], series: { pg_stat_database_num_backends: { format: 'number', total: 150, totalAverage: 25, yAxisLimit: 100, }, }, } const result = parseConnectionsData(mockInfraData, undefined) expect(result).toEqual({ current: 25, max: 0 }) }) it('returns 0 max when maxConnections is missing from data object', () => { const mockInfraData: InfraMonitoringMultiResponse = { data: [], series: { pg_stat_database_num_backends: { format: 'number', total: 150, totalAverage: 25, yAxisLimit: 100, }, }, } const mockMaxData = {} const result = parseConnectionsData(mockInfraData, mockMaxData) expect(result).toEqual({ current: 25, max: 0 }) }) it('returns 0 current when connections metric is missing', () => { const mockInfraData: InfraMonitoringMultiResponse = { data: [], series: {}, } const mockMaxData = { maxConnections: 100 } const result = parseConnectionsData(mockInfraData, mockMaxData) expect(result).toEqual({ current: 0, max: 100 }) }) it('handles single-response format (legacy)', () => { const mockInfraData: InfraMonitoringSingleResponse = { data: [], format: 'number', total: 150, totalAverage: 25, yAxisLimit: 100, } const mockMaxData = { maxConnections: 100 } const result = parseConnectionsData(mockInfraData, mockMaxData) expect(result).toEqual({ current: 0, max: 100 }) }) })