Logs.utils.test.ts325 lines · main
| 1 | import dayjs from 'dayjs' |
| 2 | import utc from 'dayjs/plugin/utc' |
| 3 | import { describe, expect, test } from 'vitest' |
| 4 | |
| 5 | import { |
| 6 | checkForILIKEClause, |
| 7 | checkForWildcard, |
| 8 | checkForWithClause, |
| 9 | fillTimeseries, |
| 10 | } from '@/components/interfaces/Settings/Logs/Logs.utils' |
| 11 | |
| 12 | dayjs.extend(utc) |
| 13 | |
| 14 | describe('fillTimeseries', () => { |
| 15 | test('should return empty array for empty data without min/max', () => { |
| 16 | const result = fillTimeseries([], 'timestamp', 'value', 0) |
| 17 | expect(result).toEqual([]) |
| 18 | }) |
| 19 | |
| 20 | test('should return empty array for empty data with min/max', () => { |
| 21 | const min = '2023-01-01T00:00:00.000Z' |
| 22 | const max = '2023-01-01T01:00:00.000Z' |
| 23 | const result = fillTimeseries([], 'timestamp', 'value', 0, min, max) |
| 24 | |
| 25 | // When min/max are provided, the function fills the time range with default values |
| 26 | // This creates 61 data points (one for each minute from 00:00 to 01:00) |
| 27 | expect(result).toHaveLength(61) |
| 28 | expect(result[0]).toEqual({ timestamp: '2023-01-01T00:00:00.000Z', value: 0 }) |
| 29 | expect(result[60]).toEqual({ timestamp: '2023-01-01T01:00:00.000Z', value: 0 }) |
| 30 | }) |
| 31 | |
| 32 | test('should normalize timestamps when data exceeds minPointsToFill', () => { |
| 33 | const data = [ |
| 34 | { timestamp: '2023-01-01T00:00:00.000Z', value: 1 }, |
| 35 | { timestamp: '2023-01-01T00:01:00.000Z', value: 2 }, |
| 36 | { timestamp: '2023-01-01T00:02:00.000Z', value: 3 }, |
| 37 | { timestamp: '2023-01-01T00:03:00.000Z', value: 4 }, |
| 38 | { timestamp: '2023-01-01T00:04:00.000Z', value: 5 }, |
| 39 | { timestamp: '2023-01-01T00:05:00.000Z', value: 6 }, |
| 40 | { timestamp: '2023-01-01T00:06:00.000Z', value: 7 }, |
| 41 | { timestamp: '2023-01-01T00:07:00.000Z', value: 8 }, |
| 42 | { timestamp: '2023-01-01T00:08:00.000Z', value: 9 }, |
| 43 | { timestamp: '2023-01-01T00:09:00.000Z', value: 10 }, |
| 44 | { timestamp: '2023-01-01T00:10:00.000Z', value: 11 }, |
| 45 | { timestamp: '2023-01-01T00:11:00.000Z', value: 12 }, |
| 46 | { timestamp: '2023-01-01T00:12:00.000Z', value: 13 }, |
| 47 | { timestamp: '2023-01-01T00:13:00.000Z', value: 14 }, |
| 48 | { timestamp: '2023-01-01T00:14:00.000Z', value: 15 }, |
| 49 | { timestamp: '2023-01-01T00:15:00.000Z', value: 16 }, |
| 50 | { timestamp: '2023-01-01T00:16:00.000Z', value: 17 }, |
| 51 | { timestamp: '2023-01-01T00:17:00.000Z', value: 18 }, |
| 52 | { timestamp: '2023-01-01T00:18:00.000Z', value: 19 }, |
| 53 | { timestamp: '2023-01-01T00:19:00.000Z', value: 20 }, |
| 54 | { timestamp: '2023-01-01T00:20:00.000Z', value: 21 }, |
| 55 | ] |
| 56 | const result = fillTimeseries(data, 'timestamp', 'value', 0, undefined, undefined, 20) |
| 57 | |
| 58 | // Should return normalized data without filling gaps |
| 59 | expect(result).toHaveLength(21) |
| 60 | result.forEach((item) => { |
| 61 | expect(item.timestamp).toMatch(/^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d{3}Z$/) |
| 62 | }) |
| 63 | }) |
| 64 | |
| 65 | test('should fill gaps in sparse data with 1-minute intervals', () => { |
| 66 | const min = '2023-01-01T00:00:00.000Z' |
| 67 | const max = '2023-01-01T00:04:00.000Z' |
| 68 | const data = [ |
| 69 | { timestamp: '2023-01-01T00:01:00.000Z', value: 10 }, |
| 70 | { timestamp: '2023-01-01T00:03:00.000Z', value: 30 }, |
| 71 | ] |
| 72 | |
| 73 | const result = fillTimeseries(data, 'timestamp', 'value', 0, min, max, 20, '2m') |
| 74 | |
| 75 | expect(result).toHaveLength(5) |
| 76 | const sortedResult = result.sort((a, b) => a.timestamp.localeCompare(b.timestamp)) |
| 77 | |
| 78 | expect(sortedResult[0]).toEqual({ timestamp: '2023-01-01T00:00:00.000Z', value: 0 }) |
| 79 | expect(sortedResult[1]).toEqual({ timestamp: '2023-01-01T00:01:00.000Z', value: 10 }) |
| 80 | expect(sortedResult[2]).toEqual({ timestamp: '2023-01-01T00:02:00.000Z', value: 0 }) |
| 81 | expect(sortedResult[3]).toEqual({ timestamp: '2023-01-01T00:03:00.000Z', value: 30 }) |
| 82 | expect(sortedResult[4]).toEqual({ timestamp: '2023-01-01T00:04:00.000Z', value: 0 }) |
| 83 | }) |
| 84 | |
| 85 | test('should handle multiple value keys', () => { |
| 86 | const min = '2023-01-01T00:00:00.000Z' |
| 87 | const max = '2023-01-01T00:02:00.000Z' |
| 88 | const data = [{ timestamp: '2023-01-01T00:01:00.000Z', count1: 10, count2: 100 }] |
| 89 | |
| 90 | const result = fillTimeseries(data, 'timestamp', ['count1', 'count2'], 5, min, max, 20, '1m') |
| 91 | |
| 92 | expect(result).toHaveLength(3) |
| 93 | const sortedResult = result.sort((a, b) => a.timestamp.localeCompare(b.timestamp)) |
| 94 | |
| 95 | expect(sortedResult[0]).toEqual({ timestamp: '2023-01-01T00:00:00.000Z', count1: 5, count2: 5 }) |
| 96 | expect(sortedResult[1]).toEqual({ |
| 97 | timestamp: '2023-01-01T00:01:00.000Z', |
| 98 | count1: 10, |
| 99 | count2: 100, |
| 100 | }) |
| 101 | expect(sortedResult[2]).toEqual({ timestamp: '2023-01-01T00:02:00.000Z', count1: 5, count2: 5 }) |
| 102 | }) |
| 103 | |
| 104 | test('should handle different interval formats', () => { |
| 105 | const min = '2023-01-01T00:00:00.000Z' |
| 106 | const max = '2023-01-01T00:10:00.000Z' |
| 107 | const data = [{ timestamp: '2023-01-01T00:05:00.000Z', value: 50 }] |
| 108 | |
| 109 | // Test 5-minute intervals: 00:00, 00:05, 00:10 = 3 points |
| 110 | const result5m = fillTimeseries(data, 'timestamp', 'value', 0, min, max, 20, '5m') |
| 111 | expect(result5m).toHaveLength(3) |
| 112 | |
| 113 | // Test 2-minute intervals: 00:00, 00:02, 00:04, 00:05, 00:06, 00:08, 00:10 = 7 points |
| 114 | const result2m = fillTimeseries(data, 'timestamp', 'value', 0, min, max, 20, '2m') |
| 115 | console.log( |
| 116 | '2m intervals:', |
| 117 | result2m.map((r) => r.timestamp) |
| 118 | ) |
| 119 | expect(result2m).toHaveLength(7) |
| 120 | |
| 121 | // Test 1-hour intervals: 00:00, 01:00, 02:00 with existing data at 00:05 = 4 points |
| 122 | const maxHour = '2023-01-01T02:00:00.000Z' |
| 123 | const result1h = fillTimeseries(data, 'timestamp', 'value', 0, min, maxHour, 20, '1h') |
| 124 | expect(result1h).toHaveLength(4) |
| 125 | }) |
| 126 | |
| 127 | test('should handle microsecond timestamps correctly', () => { |
| 128 | const now = dayjs.utc('2023-01-01T00:00:00.000Z') |
| 129 | const data = [ |
| 130 | { timestamp: now.valueOf() * 1000, value: 1 }, |
| 131 | { timestamp: now.add(1, 'minute').valueOf() * 1000, value: 2 }, |
| 132 | ] |
| 133 | |
| 134 | const result = fillTimeseries(data, 'timestamp', 'value', 0, undefined, undefined, 1) |
| 135 | |
| 136 | expect(result).toHaveLength(2) |
| 137 | result.forEach((item) => { |
| 138 | expect(item.timestamp).toMatch(/^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d{3}Z$/) |
| 139 | }) |
| 140 | }) |
| 141 | |
| 142 | test('should handle mixed timestamp formats', () => { |
| 143 | const data = [ |
| 144 | { timestamp: '2023-01-01T00:00:00.000Z', value: 1 }, |
| 145 | { timestamp: dayjs.utc('2023-01-01T00:01:00.000Z').valueOf() * 1000, value: 2 }, |
| 146 | { timestamp: '2023-01-01T00:02:00.000Z', value: 3 }, |
| 147 | ] |
| 148 | |
| 149 | const result = fillTimeseries(data, 'timestamp', 'value', 0, undefined, undefined, 1) |
| 150 | |
| 151 | expect(result).toHaveLength(3) |
| 152 | result.forEach((item) => { |
| 153 | expect(item.timestamp).toMatch(/^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d{3}Z$/) |
| 154 | }) |
| 155 | }) |
| 156 | |
| 157 | test('should not fill gaps when data is dense enough', () => { |
| 158 | const data = Array.from({ length: 25 }, (_, i) => ({ |
| 159 | timestamp: dayjs.utc('2023-01-01T00:00:00.000Z').add(i, 'minute').toISOString(), |
| 160 | value: i, |
| 161 | })) |
| 162 | |
| 163 | const result = fillTimeseries(data, 'timestamp', 'value', 0, undefined, undefined, 20) |
| 164 | |
| 165 | expect(result).toHaveLength(25) |
| 166 | expect(result).toEqual(data) |
| 167 | }) |
| 168 | |
| 169 | test('should handle edge case with single data point', () => { |
| 170 | const data = [{ timestamp: '2023-01-01T00:00:00.000Z', value: 1 }] |
| 171 | |
| 172 | const result = fillTimeseries(data, 'timestamp', 'value', 0) |
| 173 | |
| 174 | expect(result).toEqual(data) |
| 175 | }) |
| 176 | |
| 177 | test('should handle edge case with single data point and min/max', () => { |
| 178 | const min = '2023-01-01T00:00:00.000Z' |
| 179 | const max = '2023-01-01T00:02:00.000Z' |
| 180 | const data = [{ timestamp: '2023-01-01T00:01:00.000Z', value: 1 }] |
| 181 | |
| 182 | const result = fillTimeseries(data, 'timestamp', 'value', 0, min, max, 20, '1m') |
| 183 | |
| 184 | expect(result).toHaveLength(3) |
| 185 | const sortedResult = result.sort((a, b) => a.timestamp.localeCompare(b.timestamp)) |
| 186 | |
| 187 | expect(sortedResult[0]).toEqual({ timestamp: '2023-01-01T00:00:00.000Z', value: 0 }) |
| 188 | expect(sortedResult[1]).toEqual({ timestamp: '2023-01-01T00:01:00.000Z', value: 1 }) |
| 189 | expect(sortedResult[2]).toEqual({ timestamp: '2023-01-01T00:02:00.000Z', value: 0 }) |
| 190 | }) |
| 191 | |
| 192 | test('should handle invalid interval format gracefully', () => { |
| 193 | const min = '2023-01-01T00:00:00.000Z' |
| 194 | const max = '2023-01-01T00:02:00.000Z' |
| 195 | const data = [{ timestamp: '2023-01-01T00:01:00.000Z', value: 1 }] |
| 196 | |
| 197 | const result = fillTimeseries(data, 'timestamp', 'value', 0, min, max, 20, 'invalid') |
| 198 | |
| 199 | // Should fall back to default behavior |
| 200 | expect(result.length).toBeGreaterThan(1) |
| 201 | }) |
| 202 | |
| 203 | test('should preserve all properties of original data', () => { |
| 204 | const data = [ |
| 205 | { |
| 206 | timestamp: '2023-01-01T00:00:00.000Z', |
| 207 | value: 1, |
| 208 | extra: 'data', |
| 209 | nested: { prop: 'value' }, |
| 210 | }, |
| 211 | ] |
| 212 | |
| 213 | const result = fillTimeseries(data, 'timestamp', 'value', 0) |
| 214 | |
| 215 | expect(result[0]).toEqual(data[0]) |
| 216 | expect(result[0].extra).toBe('data') |
| 217 | expect(result[0].nested).toEqual({ prop: 'value' }) |
| 218 | }) |
| 219 | |
| 220 | test('should handle empty value keys array', () => { |
| 221 | const min = '2023-01-01T00:00:00.000Z' |
| 222 | const max = '2023-01-01T00:01:00.000Z' |
| 223 | const data = [{ timestamp: '2023-01-01T00:00:30.000Z', value: 1 }] |
| 224 | |
| 225 | const result = fillTimeseries(data, 'timestamp', [], 0, min, max, 20, '30s') |
| 226 | |
| 227 | expect(result).toHaveLength(3) |
| 228 | result.forEach((item) => { |
| 229 | expect(item).toHaveProperty('timestamp') |
| 230 | expect(item).not.toHaveProperty('value') |
| 231 | }) |
| 232 | }) |
| 233 | }) |
| 234 | |
| 235 | describe('checkForWithClause', () => { |
| 236 | test('basic queries', () => { |
| 237 | expect(checkForWithClause('SELECT * FROM table')).toBe(false) |
| 238 | expect(checkForWithClause('SELECT * FROM table WITH clause')).toBe(true) |
| 239 | expect(checkForWithClause('WITH test AS (SELECT * FROM table) SELECT * FROM test')).toBe(true) |
| 240 | expect(checkForWithClause('SELECT * FROM withsomething')).toBe(false) |
| 241 | }) |
| 242 | |
| 243 | test('case sensitivity', () => { |
| 244 | expect(checkForWithClause('with test AS (SELECT * FROM table) SELECT * FROM test')).toBe(true) |
| 245 | expect(checkForWithClause('WiTh test AS (SELECT * FROM table) SELECT * FROM test')).toBe(true) |
| 246 | }) |
| 247 | |
| 248 | test('comments', () => { |
| 249 | expect(checkForWithClause('SELECT * FROM table -- WITH clause')).toBe(false) |
| 250 | expect(checkForWithClause('SELECT * FROM table /* WITH clause */')).toBe(false) |
| 251 | expect(checkForWithClause('-- WITH clause\nSELECT * FROM table')).toBe(false) |
| 252 | expect(checkForWithClause('/* WITH clause */\nSELECT * FROM table')).toBe(false) |
| 253 | }) |
| 254 | |
| 255 | test('string literals', () => { |
| 256 | expect(checkForWithClause("SELECT 'WITH' FROM table")).toBe(false) |
| 257 | expect(checkForWithClause("SELECT * FROM table WHERE column = 'WITH clause'")).toBe(false) |
| 258 | }) |
| 259 | |
| 260 | test('subqueries', () => { |
| 261 | expect( |
| 262 | checkForWithClause('SELECT * FROM (WITH subquery AS (SELECT 1) SELECT * FROM subquery)') |
| 263 | ).toBe(true) |
| 264 | expect( |
| 265 | checkForWithClause( |
| 266 | 'SELECT * FROM table WHERE column IN (WITH subquery AS (SELECT 1) SELECT * FROM subquery)' |
| 267 | ) |
| 268 | ).toBe(true) |
| 269 | }) |
| 270 | }) |
| 271 | |
| 272 | describe('checkForILIKEClause', () => { |
| 273 | test('basic queries', () => { |
| 274 | expect(checkForILIKEClause('SELECT * FROM table')).toBe(false) |
| 275 | expect(checkForILIKEClause('SELECT * FROM table WHERE column ILIKE "%value%"')).toBe(true) |
| 276 | expect(checkForILIKEClause('SELECT * FROM table WHERE column LIKE "%value%"')).toBe(false) |
| 277 | expect(checkForILIKEClause('SELECT * FROM ilikesomething')).toBe(false) |
| 278 | }) |
| 279 | |
| 280 | test('case sensitivity', () => { |
| 281 | expect(checkForILIKEClause('SELECT * FROM table WHERE column ilike "%value%"')).toBe(true) |
| 282 | expect(checkForILIKEClause('SELECT * FROM table WHERE column IlIkE "%value%"')).toBe(true) |
| 283 | }) |
| 284 | |
| 285 | test('comments', () => { |
| 286 | expect(checkForILIKEClause('SELECT * FROM table -- ILIKE clause')).toBe(false) |
| 287 | expect(checkForILIKEClause('SELECT * FROM table /* ILIKE clause */')).toBe(false) |
| 288 | expect(checkForILIKEClause('-- ILIKE clause\nSELECT * FROM table')).toBe(false) |
| 289 | expect(checkForILIKEClause('/* ILIKE clause */\nSELECT * FROM table')).toBe(false) |
| 290 | }) |
| 291 | |
| 292 | test('string literals', () => { |
| 293 | expect(checkForILIKEClause("SELECT 'ILIKE' FROM table")).toBe(false) |
| 294 | expect(checkForILIKEClause("SELECT * FROM table WHERE column = 'ILIKE clause'")).toBe(false) |
| 295 | }) |
| 296 | |
| 297 | test('subqueries', () => { |
| 298 | expect( |
| 299 | checkForILIKEClause('SELECT * FROM (SELECT * FROM table WHERE column ILIKE "%value%")') |
| 300 | ).toBe(true) |
| 301 | expect( |
| 302 | checkForILIKEClause( |
| 303 | 'SELECT * FROM table WHERE column IN (SELECT * FROM subtable WHERE column ILIKE "%value%")' |
| 304 | ) |
| 305 | ).toBe(true) |
| 306 | }) |
| 307 | }) |
| 308 | |
| 309 | describe('checkForWildcard', () => { |
| 310 | test('basic queries', () => { |
| 311 | expect(checkForWildcard('SELECT * FROM table')).toBe(true) |
| 312 | expect(checkForWildcard('SELECT column FROM table')).toBe(false) |
| 313 | }) |
| 314 | |
| 315 | test('comments', () => { |
| 316 | expect(checkForWildcard('SELECT column FROM table -- *')).toBe(false) |
| 317 | expect(checkForWildcard('SELECT column FROM table /* * */')).toBe(false) |
| 318 | expect(checkForWildcard('-- *\nSELECT column FROM table')).toBe(false) |
| 319 | expect(checkForWildcard('/* * */\nSELECT column FROM table')).toBe(false) |
| 320 | }) |
| 321 | |
| 322 | test('count(*)', () => { |
| 323 | expect(checkForWildcard('SELECT count(*) FROM table')).toBe(false) |
| 324 | }) |
| 325 | }) |