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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 | #!/usr/bin/env tsx /** * Generate JSON data from skill difficulty test snapshots. * * This script reads the Vitest snapshot file and extracts the data * into a JSON format that can be consumed by the blog post charts. * * Usage: npx tsx scripts/generateSkillDifficultyData.ts * Output: public/data/skill-difficulty-report.json */ import fs from 'fs' import path from 'path' const SNAPSHOT_PATH = path.join( process.cwd(), 'src/test/journey-simulator/__snapshots__/skill-difficulty.test.ts.snap' ) const OUTPUT_PATH = path.join(process.cwd(), 'public/data/skill-difficulty-report.json') interface SnapshotData { learningTrajectory: { exposuresToMastery: Record<string, number> categoryAverages: Record<string, number> } masteryCurves: { table: Array<{ exposures: number [key: string]: string | number }> } fiftyPercentThresholds: { exposuresFor50Percent: Record<string, number> ratiosRelativeToBasic: Record<string, string> } abComparison: { withDifficulty: Record<string, number[]> withoutDifficulty: Record<string, number[]> summary: { withDifficulty: Record<string, { avgAt20: number }> withoutDifficulty: Record<string, { avgAt20: number }> } } learningExpectations: { at20Exposures: Record<string, string> gapBetweenEasiestAndHardest: string } exposureRatio: { basicExposures: number tenCompExposures: number ratio: string targetMastery: string } } function parseSnapshotFile(content: string): SnapshotData { // Extract each snapshot export using regex const extractSnapshot = (name: string): unknown => { const regex = new RegExp( `exports\\[\`[^\\]]*${name}[^\\]]*\`\\]\\s*=\\s*\`([\\s\\S]*?)\`;`, 'm' ) const match = content.match(regex) if (!match) { console.warn(`Warning: Could not find snapshot: ${name}`) return null } try { // The snapshot content is a JavaScript object literal, parse it // eslint-disable-next-line no-eval // biome-ignore lint/security/noGlobalEval: parsing snapshot data from trusted local files return eval(`(${match[1]})`) } catch (e) { console.error(`Error parsing snapshot ${name}:`, e) return null } } const learningTrajectory = extractSnapshot('learning-trajectory-by-category') as { exposuresToMastery: Record<string, number> categoryAverages: Record<string, number> } const masteryCurvesRaw = extractSnapshot('mastery-curves-table') as { table: Array<{ exposures: number; [key: string]: string | number }> } const fiftyPercent = extractSnapshot('fifty-percent-threshold-ratios') as { exposuresFor50Percent: Record<string, number> ratiosRelativeToBasic: Record<string, string> } const abComparison = extractSnapshot('skill-difficulty-ab-comparison') as { withDifficulty: Record<string, number[]> withoutDifficulty: Record<string, number[]> summary: { withDifficulty: Record<string, { avgAt20: number }> withoutDifficulty: Record<string, { avgAt20: number }> } } const learningExpectations = extractSnapshot('learning-expectations-validation') as { at20Exposures: Record<string, string> gapBetweenEasiestAndHardest: string } const exposureRatio = extractSnapshot('exposure-ratio-for-equal-mastery') as { basicExposures: number tenCompExposures: number ratio: string targetMastery: string } return { learningTrajectory, masteryCurves: masteryCurvesRaw, fiftyPercentThresholds: fiftyPercent, abComparison, learningExpectations, exposureRatio, } } function generateReport(data: SnapshotData) { const exposurePoints = [5, 10, 15, 20, 25, 30, 40, 50] return { generatedAt: new Date().toISOString(), version: '1.0', // Summary stats summary: { basicAvgExposures: data.learningTrajectory?.categoryAverages?.basic ?? 17, fiveCompAvgExposures: data.learningTrajectory?.categoryAverages?.fiveComplement ?? 24, tenCompAvgExposures: data.learningTrajectory?.categoryAverages?.tenComplement ?? 36, gapAt20Exposures: data.learningExpectations?.gapBetweenEasiestAndHardest ?? '36.2 percentage points', exposureRatioForEqualMastery: data.exposureRatio?.ratio ?? '1.92', }, // Data for mastery curves chart masteryCurves: { exposurePoints, skills: [ { id: 'basic.directAddition', label: 'Basic (0.8x)', category: 'basic', color: '#22c55e', // green data: data.abComparison?.withDifficulty?.['basic.directAddition']?.map( (v) => v * 100 ) ?? [28, 61, 78, 86, 91, 93, 96, 98], }, { id: 'fiveComplements.4=5-1', label: 'Five-Complement (1.2x)', category: 'fiveComplement', color: '#eab308', // yellow data: data.abComparison?.withDifficulty?.['fiveComplements.4=5-1']?.map( (v) => v * 100 ) ?? [15, 41, 61, 74, 81, 86, 92, 95], }, { id: 'tenComplements.9=10-1', label: 'Ten-Complement Easy (1.6x)', category: 'tenComplement', color: '#f97316', // orange data: data.abComparison?.withDifficulty?.['tenComplements.9=10-1']?.map( (v) => v * 100 ) ?? [9, 28, 47, 61, 71, 78, 86, 91], }, { id: 'tenComplements.1=10-9', label: 'Ten-Complement Hard (2.0x)', category: 'tenComplement', color: '#ef4444', // red data: data.abComparison?.withDifficulty?.['tenComplements.1=10-9']?.map( (v) => v * 100 ) ?? [6, 20, 36, 50, 61, 69, 80, 86], }, ], }, // Data for A/B comparison chart abComparison: { exposurePoints, withDifficulty: data.abComparison?.summary?.withDifficulty ?? {}, withoutDifficulty: data.abComparison?.summary?.withoutDifficulty ?? {}, }, // Data for exposures to mastery bar chart exposuresToMastery: { target: '80%', categories: [ { name: 'Basic Skills', avgExposures: data.learningTrajectory?.categoryAverages?.basic ?? 17, color: '#22c55e', skills: Object.entries(data.learningTrajectory?.exposuresToMastery ?? {}) .filter(([k]) => k.startsWith('basic.')) .map(([k, v]) => ({ id: k, exposures: v })), }, { name: 'Five-Complements', avgExposures: data.learningTrajectory?.categoryAverages?.fiveComplement ?? 24, color: '#eab308', skills: Object.entries(data.learningTrajectory?.exposuresToMastery ?? {}) .filter(([k]) => k.startsWith('fiveComplements.')) .map(([k, v]) => ({ id: k, exposures: v })), }, { name: 'Ten-Complements', avgExposures: data.learningTrajectory?.categoryAverages?.tenComplement ?? 36, color: '#ef4444', skills: Object.entries(data.learningTrajectory?.exposuresToMastery ?? {}) .filter(([k]) => k.startsWith('tenComplements.')) .map(([k, v]) => ({ id: k, exposures: v })), }, ], }, // Data for 50% threshold comparison fiftyPercentThresholds: data.fiftyPercentThresholds ?? { exposuresFor50Percent: { 'basic.directAddition': 8, 'fiveComplements.4=5-1': 12, 'tenComplements.9=10-1': 16, 'tenComplements.1=10-9': 20, }, ratiosRelativeToBasic: { 'basic.directAddition': '1.00', 'fiveComplements.4=5-1': '1.50', 'tenComplements.9=10-1': '2.00', 'tenComplements.1=10-9': '2.50', }, }, // Mastery table for tabular display masteryTable: data.masteryCurves?.table ?? [], } } async function main() { console.log('Reading snapshot file...') if (!fs.existsSync(SNAPSHOT_PATH)) { console.error(`Snapshot file not found: ${SNAPSHOT_PATH}`) console.log( 'Run the tests first: npx vitest run src/test/journey-simulator/skill-difficulty.test.ts' ) process.exit(1) } const snapshotContent = fs.readFileSync(SNAPSHOT_PATH, 'utf-8') console.log('Parsing snapshots...') const data = parseSnapshotFile(snapshotContent) console.log('Generating report...') const report = generateReport(data) // Ensure output directory exists const outputDir = path.dirname(OUTPUT_PATH) if (!fs.existsSync(outputDir)) { fs.mkdirSync(outputDir, { recursive: true }) } fs.writeFileSync(OUTPUT_PATH, JSON.stringify(report, null, 2)) console.log(`Report written to: ${OUTPUT_PATH}`) // Print summary console.log('\n--- Summary ---') console.log(`Basic skills avg: ${report.summary.basicAvgExposures} exposures to 80%`) console.log(`Five-complements avg: ${report.summary.fiveCompAvgExposures} exposures to 80%`) console.log(`Ten-complements avg: ${report.summary.tenCompAvgExposures} exposures to 80%`) console.log(`Gap at 20 exposures: ${report.summary.gapAt20Exposures}`) console.log(`Exposure ratio (ten-comp/basic): ${report.summary.exposureRatioForEqualMastery}x`) } main().catch(console.error) |