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import type { SkillConfig, SuccessCriteria, TuningAdjustment } from './types'
import { generateRealisticProblems } from './problem-generation'
import { designSequenceForClassification } from './bkt-simulation'
/**
* Generate slot results for a skill config (problem history with correct/incorrect sequences)
*/
export function generateSlotResults(
config: SkillConfig,
startIndex: number,
sessionStartTime: Date
): SlotResult[] {
// Generate realistic problems targeting the skill
const realisticProblems = generateRealisticProblems(config.skillId, config.problems)
// Design a sequence that will reliably produce the target BKT classification
const correctnessSequence = designSequenceForClassification(
config.skillId,
config.problems,
config.targetClassification
)
return realisticProblems.map((realistic, i) => {
const isCorrect = correctnessSequence[i]
// Convert to the schema's GeneratedProblem format
const problem: GeneratedProblem = {
terms: realistic.terms,
answer: realistic.answer,
skillsRequired: realistic.skillsUsed,
generationTrace: realistic.generationTrace,
}
// Generate a plausible wrong answer if incorrect
const wrongAnswer =
realistic.answer + (Math.random() > 0.5 ? 1 : -1) * (Math.floor(Math.random() * 3) + 1)
const baseResult = {
slotId: crypto.randomUUID(),
partNumber: 1 as const,
slotIndex: startIndex + i,
problem,
studentAnswer: isCorrect ? realistic.answer : wrongAnswer,
isCorrect,
responseTimeMs: (() => {
const range = config.responseTimeMsRange ?? { min: 4000, max: 6000 }
return range.min + Math.random() * (range.max - range.min)
})(),
skillsExercised: realistic.skillsUsed, // ALL skills used, not just target
usedOnScreenAbacus: false,
timestamp: new Date(sessionStartTime.getTime() + (startIndex + i) * 10000),
incorrectAttempts: isCorrect ? 0 : 1,
}
// If simulating legacy data, omit hadHelp and helpTrigger
// This tests the NaN handling code path for old data missing these fields
if (config.simulateLegacyData) {
return baseResult as SlotResult
}
return {
...baseResult,
hadHelp: false,
helpTrigger: 'none' as const,
}
})
}
/**
* Check if a profile's outcomes meet its success criteria
*/
export function checkSuccessCriteria(
classifications: Record<string, number>,
criteria?: SuccessCriteria
): { success: boolean; reasons: string[] } {
if (!criteria) {
return { success: true, reasons: [] }
}
const reasons: string[] = []
const { weak, developing, strong } = classifications
if (criteria.minWeak !== undefined && weak < criteria.minWeak) {
reasons.push(`Need at least ${criteria.minWeak} weak skills, got ${weak}`)
}
if (criteria.maxWeak !== undefined && weak > criteria.maxWeak) {
reasons.push(`Need at most ${criteria.maxWeak} weak skills, got ${weak}`)
}
if (criteria.minDeveloping !== undefined && developing < criteria.minDeveloping) {
reasons.push(`Need at least ${criteria.minDeveloping} developing skills, got ${developing}`)
}
if (criteria.maxDeveloping !== undefined && developing > criteria.maxDeveloping) {
reasons.push(`Need at most ${criteria.maxDeveloping} developing skills, got ${developing}`)
}
if (criteria.minStrong !== undefined && strong < criteria.minStrong) {
reasons.push(`Need at least ${criteria.minStrong} strong skills, got ${strong}`)
}
if (criteria.maxStrong !== undefined && strong > criteria.maxStrong) {
reasons.push(`Need at most ${criteria.maxStrong} strong skills, got ${strong}`)
}
return { success: reasons.length === 0, reasons }
}
/**
* Apply tuning adjustments to skill history
*/
export function applyTuningAdjustments(
skillHistory: SkillConfig[],
adjustments?: TuningAdjustment[]
): SkillConfig[] {
if (!adjustments || adjustments.length === 0) {
return skillHistory
}
return skillHistory.map((config) => {
const newConfig = { ...config }
for (const adj of adjustments) {
if (adj.skillId === 'all' || adj.skillId === config.skillId) {
if (adj.problemsAdd !== undefined) {
newConfig.problems = newConfig.problems + adj.problemsAdd
}
if (adj.problemsMultiplier !== undefined) {
newConfig.problems = Math.round(newConfig.problems * adj.problemsMultiplier)
}
}
}
return newConfig
})
}
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