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| 1 | +import { DataFrame, Field, FieldType } from '@grafana/data'; |
| 2 | +import { processLogsDataFrame } from './processResponse'; |
| 3 | + |
| 4 | +function makeField(name: string, type: FieldType, values: any[]): Field { |
| 5 | + return { name, type, config: {}, values }; |
| 6 | +} |
| 7 | + |
| 8 | +function makeDataFrame(fields: Field[], refId = 'A'): DataFrame { |
| 9 | + return { |
| 10 | + refId, |
| 11 | + fields, |
| 12 | + length: fields[0]?.values.length ?? 0, |
| 13 | + }; |
| 14 | +} |
| 15 | + |
| 16 | +function makeDatasource(overrides: { logMessageField?: string; dataLinks?: any[] } = {}) { |
| 17 | + return { |
| 18 | + logMessageField: overrides.logMessageField ?? '', |
| 19 | + dataLinks: overrides.dataLinks ?? [], |
| 20 | + } as any; |
| 21 | +} |
| 22 | + |
| 23 | +describe('processLogsDataFrame', () => { |
| 24 | + describe('with logMessageField configured', () => { |
| 25 | + it('uses configured field value', () => { |
| 26 | + const ds = makeDatasource({ logMessageField: 'line' }); |
| 27 | + const df = makeDataFrame([ |
| 28 | + makeField('timestamp', FieldType.time, [1000, 2000]), |
| 29 | + makeField('line', FieldType.string, ['hello world', 'goodbye world']), |
| 30 | + makeField('level', FieldType.string, ['info', 'error']), |
| 31 | + ]); |
| 32 | + |
| 33 | + processLogsDataFrame(ds, df); |
| 34 | + |
| 35 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 36 | + expect(df.fields[1].values).toEqual(['hello world', 'goodbye world']); |
| 37 | + }); |
| 38 | + |
| 39 | + it('joins multiple configured fields with key=value format', () => { |
| 40 | + const ds = makeDatasource({ logMessageField: 'method,path,status' }); |
| 41 | + const df = makeDataFrame([ |
| 42 | + makeField('timestamp', FieldType.time, [1000]), |
| 43 | + makeField('method', FieldType.string, ['GET']), |
| 44 | + makeField('path', FieldType.string, ['/blog']), |
| 45 | + makeField('status', FieldType.string, ['200']), |
| 46 | + ]); |
| 47 | + |
| 48 | + processLogsDataFrame(ds, df); |
| 49 | + |
| 50 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 51 | + expect(df.fields[1].values[0]).toBe('method=GET path=/blog status=200'); |
| 52 | + }); |
| 53 | + |
| 54 | + it('falls back when configured field does not exist', () => { |
| 55 | + const ds = makeDatasource({ logMessageField: 'nonexistent' }); |
| 56 | + const df = makeDataFrame([ |
| 57 | + makeField('timestamp', FieldType.time, [1000]), |
| 58 | + makeField('body.message', FieldType.string, ['the real message']), |
| 59 | + ]); |
| 60 | + |
| 61 | + processLogsDataFrame(ds, df); |
| 62 | + |
| 63 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 64 | + expect(df.fields[1].values[0]).toBe('the real message'); |
| 65 | + }); |
| 66 | + |
| 67 | + it('falls back when configured field value is empty for a row', () => { |
| 68 | + const ds = makeDatasource({ logMessageField: 'line' }); |
| 69 | + const df = makeDataFrame([ |
| 70 | + makeField('timestamp', FieldType.time, [1000, 2000]), |
| 71 | + makeField('line', FieldType.string, ['has content', '']), |
| 72 | + makeField('body.message', FieldType.string, ['', 'fallback message']), |
| 73 | + ]); |
| 74 | + |
| 75 | + processLogsDataFrame(ds, df); |
| 76 | + |
| 77 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 78 | + expect(df.fields[1].values[0]).toBe('has content'); |
| 79 | + expect(df.fields[1].values[1]).toBe('fallback message'); |
| 80 | + }); |
| 81 | + }); |
| 82 | + |
| 83 | + describe('OTEL fallback (no logMessageField)', () => { |
| 84 | + it('picks body.message when present', () => { |
| 85 | + const ds = makeDatasource(); |
| 86 | + const df = makeDataFrame([ |
| 87 | + makeField('timestamp', FieldType.time, [1000]), |
| 88 | + makeField('body.message', FieldType.string, ['GET /assets/app.js HTTP/1.1 200']), |
| 89 | + makeField('body.stream', FieldType.string, ['stdout']), |
| 90 | + ]); |
| 91 | + |
| 92 | + processLogsDataFrame(ds, df); |
| 93 | + |
| 94 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 95 | + expect(df.fields[1].values[0]).toBe('GET /assets/app.js HTTP/1.1 200'); |
| 96 | + }); |
| 97 | + |
| 98 | + it('picks attributes.message when body.message is absent', () => { |
| 99 | + const ds = makeDatasource(); |
| 100 | + const df = makeDataFrame([ |
| 101 | + makeField('timestamp', FieldType.time, [1000]), |
| 102 | + makeField('attributes.message', FieldType.string, ['SSO user already exists']), |
| 103 | + makeField('attributes.severity', FieldType.string, ['INFO']), |
| 104 | + ]); |
| 105 | + |
| 106 | + processLogsDataFrame(ds, df); |
| 107 | + |
| 108 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 109 | + expect(df.fields[1].values[0]).toBe('SSO user already exists'); |
| 110 | + }); |
| 111 | + |
| 112 | + it('prefers body.message over attributes.message', () => { |
| 113 | + const ds = makeDatasource(); |
| 114 | + const df = makeDataFrame([ |
| 115 | + makeField('timestamp', FieldType.time, [1000]), |
| 116 | + makeField('body.message', FieldType.string, ['from body']), |
| 117 | + makeField('attributes.message', FieldType.string, ['from attributes']), |
| 118 | + ]); |
| 119 | + |
| 120 | + processLogsDataFrame(ds, df); |
| 121 | + |
| 122 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 123 | + expect(df.fields[1].values[0]).toBe('from body'); |
| 124 | + }); |
| 125 | + |
| 126 | + it('builds key=value summary when no well-known fields exist', () => { |
| 127 | + const ds = makeDatasource(); |
| 128 | + const df = makeDataFrame([ |
| 129 | + makeField('timestamp', FieldType.time, [1000]), |
| 130 | + makeField('attributes.method', FieldType.string, ['GET']), |
| 131 | + makeField('attributes.path', FieldType.string, ['/blog']), |
| 132 | + makeField('attributes.status', FieldType.number, [200]), |
| 133 | + ]); |
| 134 | + |
| 135 | + processLogsDataFrame(ds, df); |
| 136 | + |
| 137 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 138 | + expect(df.fields[1].values[0]).toBe('method=GET path=/blog status=200'); |
| 139 | + }); |
| 140 | + |
| 141 | + it('strips attributes. prefix in key=value summary', () => { |
| 142 | + const ds = makeDatasource(); |
| 143 | + const df = makeDataFrame([ |
| 144 | + makeField('timestamp', FieldType.time, [1000]), |
| 145 | + makeField('attributes.controller', FieldType.string, ['BlogController']), |
| 146 | + ]); |
| 147 | + |
| 148 | + processLogsDataFrame(ds, df); |
| 149 | + |
| 150 | + expect(df.fields[1].values[0]).toBe('controller=BlogController'); |
| 151 | + }); |
| 152 | + |
| 153 | + it('skips metadata fields in key=value summary', () => { |
| 154 | + const ds = makeDatasource(); |
| 155 | + const df = makeDataFrame([ |
| 156 | + makeField('timestamp', FieldType.time, [1000]), |
| 157 | + makeField('attributes.method', FieldType.string, ['GET']), |
| 158 | + makeField('attributes.pod_name', FieldType.string, ['rx-production-abc123']), |
| 159 | + makeField('attributes.node_labels.arch', FieldType.string, ['amd64']), |
| 160 | + makeField('sort', FieldType.other, [[1684398201000]]), |
| 161 | + makeField('severity_text', FieldType.string, ['INFO']), |
| 162 | + makeField('body.stream', FieldType.string, ['stdout']), |
| 163 | + ]); |
| 164 | + |
| 165 | + processLogsDataFrame(ds, df); |
| 166 | + |
| 167 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 168 | + expect(df.fields[1].values[0]).toBe('method=GET'); |
| 169 | + }); |
| 170 | + |
| 171 | + it('handles mixed log types per row', () => { |
| 172 | + const ds = makeDatasource(); |
| 173 | + const df = makeDataFrame([ |
| 174 | + makeField('timestamp', FieldType.time, [1000, 2000, 3000]), |
| 175 | + makeField('attributes.message', FieldType.string, ['SSO login', '', '']), |
| 176 | + makeField('attributes.method', FieldType.string, ['', 'GET', '']), |
| 177 | + makeField('attributes.path', FieldType.string, ['', '/blog', '']), |
| 178 | + makeField('body.message', FieldType.string, ['', '', 'raw nginx log line']), |
| 179 | + ]); |
| 180 | + |
| 181 | + processLogsDataFrame(ds, df); |
| 182 | + |
| 183 | + expect(df.fields[1].name).toBe('$qw_message'); |
| 184 | + expect(df.fields[1].values[0]).toBe('SSO login'); |
| 185 | + expect(df.fields[1].values[1]).toBe('method=GET path=/blog'); |
| 186 | + expect(df.fields[1].values[2]).toBe('raw nginx log line'); |
| 187 | + }); |
| 188 | + }); |
| 189 | + |
| 190 | + describe('edge cases', () => { |
| 191 | + it('skips empty dataframes', () => { |
| 192 | + const ds = makeDatasource({ logMessageField: 'line' }); |
| 193 | + const df = makeDataFrame([]); |
| 194 | + |
| 195 | + processLogsDataFrame(ds, df); |
| 196 | + |
| 197 | + expect(df.fields.length).toBe(0); |
| 198 | + }); |
| 199 | + |
| 200 | + it('skips log-volume dataframes', () => { |
| 201 | + const ds = makeDatasource({ logMessageField: 'line' }); |
| 202 | + const df = makeDataFrame( |
| 203 | + [ |
| 204 | + makeField('timestamp', FieldType.time, [1000]), |
| 205 | + makeField('line', FieldType.string, ['hello']), |
| 206 | + ], |
| 207 | + 'log-volume-A' |
| 208 | + ); |
| 209 | + |
| 210 | + processLogsDataFrame(ds, df); |
| 211 | + |
| 212 | + const fieldNames = df.fields.map((f) => f.name); |
| 213 | + expect(fieldNames).not.toContain('$qw_message'); |
| 214 | + }); |
| 215 | + |
| 216 | + it('skips dataframes with no refId', () => { |
| 217 | + const ds = makeDatasource({ logMessageField: 'line' }); |
| 218 | + const df: DataFrame = { |
| 219 | + refId: undefined, |
| 220 | + fields: [ |
| 221 | + makeField('timestamp', FieldType.time, [1000]), |
| 222 | + makeField('line', FieldType.string, ['hello']), |
| 223 | + ], |
| 224 | + length: 1, |
| 225 | + }; |
| 226 | + |
| 227 | + processLogsDataFrame(ds, df); |
| 228 | + |
| 229 | + const fieldNames = df.fields.map((f) => f.name); |
| 230 | + expect(fieldNames).not.toContain('$qw_message'); |
| 231 | + }); |
| 232 | + }); |
| 233 | +}); |
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