feat: add progression readiness api
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207
internal/progression/service.go
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207
internal/progression/service.go
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@@ -0,0 +1,207 @@
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package progression
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import (
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"errors"
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"sort"
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"strings"
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"tutor/internal/learnermemory"
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"tutor/internal/workflows"
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)
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type Service struct {
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memory *learnermemory.Service
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}
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func NewService(memory *learnermemory.Service) *Service {
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return &Service{memory: memory}
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}
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func (s *Service) ReadinessMap(userID string) (ReadinessMap, error) {
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snapshot, err := s.snapshot(userID)
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if err != nil {
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return ReadinessMap{}, err
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}
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concepts := make([]ConceptProgress, 0, len(snapshot.Mastery))
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for _, mastery := range snapshot.Mastery {
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concepts = append(concepts, ConceptProgress{
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Concept: mastery.Concept,
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State: mastery.State,
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LadderLevel: ladderForState(mastery.State),
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NextAction: actionForState(mastery.State),
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Evidence: append([]workflows.EvidenceRef(nil), mastery.Evidence...),
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})
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}
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sort.Slice(concepts, func(i, j int) bool {
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return concepts[i].Concept.ID < concepts[j].Concept.ID
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})
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readiness := ReadinessMap{
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UserID: snapshot.Profile.UserID,
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Track: trackFromConcepts(concepts),
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ReadinessPercentage: readinessPercentage(concepts),
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Concepts: concepts,
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Rewards: rewardsFromConcepts(concepts),
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Unlocks: unlocksFromConcepts(concepts),
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}
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return readiness, nil
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}
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func (s *Service) NextChallenge(userID string) (workflows.NextChallenge, error) {
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readiness, err := s.ReadinessMap(userID)
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if err != nil {
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return workflows.NextChallenge{}, err
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}
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if len(readiness.Concepts) == 0 {
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return workflows.NextChallenge{}, errors.New("no learner memory concepts available")
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}
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target := readiness.Concepts[0]
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for _, concept := range readiness.Concepts[1:] {
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if readinessScore(concept.State) < readinessScore(target.State) {
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target = concept
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}
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}
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return workflows.NextChallenge{
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UserID: readiness.UserID,
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Track: readiness.Track,
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Concept: target.Concept,
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LadderLevel: target.LadderLevel,
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Question: challengeQuestion(target),
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Rationale: "Selected from the weakest evidenced learner-memory concept.",
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DifficultyAction: workflowDifficulty(target.NextAction),
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Evidence: append([]workflows.EvidenceRef(nil), target.Evidence...),
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}, nil
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}
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func (s *Service) snapshot(userID string) (learnermemory.Snapshot, error) {
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if s.memory == nil {
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return learnermemory.Snapshot{}, errors.New("learner memory not configured")
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}
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if strings.TrimSpace(userID) == "" {
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return learnermemory.Snapshot{}, errors.New("user_id is required")
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}
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return s.memory.Snapshot(userID)
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}
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func ladderForState(state workflows.ReadinessState) workflows.LadderLevel {
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switch state {
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case workflows.ReadinessFragile:
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return workflows.LadderDefine
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case workflows.ReadinessImproving:
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return workflows.LadderTradeoffs
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case workflows.ReadinessInterviewReady:
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return workflows.LadderDesignConstraints
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case workflows.ReadinessStrongSignal:
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return workflows.LadderInterviewPressure
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default:
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return workflows.LadderDefine
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}
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}
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func actionForState(state workflows.ReadinessState) DifficultyAction {
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switch state {
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case workflows.ReadinessFragile:
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return ActionRecover
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case workflows.ReadinessImproving:
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return ActionHold
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case workflows.ReadinessInterviewReady, workflows.ReadinessStrongSignal:
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return ActionRaise
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default:
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return ActionLower
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}
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}
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func workflowDifficulty(action DifficultyAction) workflows.DifficultyAction {
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switch action {
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case ActionRecover:
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return workflows.DifficultyRecover
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case ActionLower:
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return workflows.DifficultyLower
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case ActionRaise:
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return workflows.DifficultyRaise
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default:
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return workflows.DifficultyHold
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}
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}
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func readinessPercentage(concepts []ConceptProgress) int {
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if len(concepts) == 0 {
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return 0
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}
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total := 0
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for _, concept := range concepts {
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total += readinessScore(concept.State)
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}
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return total * 100 / (len(concepts) * 4)
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}
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func readinessScore(state workflows.ReadinessState) int {
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switch state {
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case workflows.ReadinessFragile:
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return 1
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case workflows.ReadinessImproving:
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return 2
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case workflows.ReadinessInterviewReady:
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return 3
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case workflows.ReadinessStrongSignal:
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return 4
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default:
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return 0
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}
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}
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func rewardsFromConcepts(concepts []ConceptProgress) []Reward {
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rewards := []Reward{}
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for _, concept := range concepts {
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if len(concept.Evidence) == 0 || readinessScore(concept.State) < 2 {
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continue
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}
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rewards = append(rewards, Reward{
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Kind: RewardConceptProgress,
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Label: "Evidence-backed progress on " + concept.Concept.Label,
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Evidence: append([]workflows.EvidenceRef(nil), concept.Evidence...),
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})
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}
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return rewards
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}
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func unlocksFromConcepts(concepts []ConceptProgress) []Unlock {
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stable := []workflows.EvidenceRef{}
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for _, concept := range concepts {
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if readinessScore(concept.State) < 3 || len(concept.Evidence) == 0 {
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continue
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}
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stable = append(stable, concept.Evidence...)
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}
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if len(stable) < 2 {
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return []Unlock{}
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}
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return []Unlock{{
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Kind: UnlockBossQuestion,
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Label: "Integrated backend interview boss question",
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Evidence: append([]workflows.EvidenceRef(nil), stable...),
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}}
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}
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func trackFromConcepts(concepts []ConceptProgress) string {
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if len(concepts) == 0 {
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return ""
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}
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return concepts[0].Concept.Track
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}
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func challengeQuestion(concept ConceptProgress) string {
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switch concept.LadderLevel {
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case workflows.LadderTradeoffs:
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return "Explain a production tradeoff for " + concept.Concept.Label + "."
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case workflows.LadderDesignConstraints:
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return "Design a constrained backend scenario that uses " + concept.Concept.Label + "."
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case workflows.LadderInterviewPressure:
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return "Answer a timed interview follow-up about " + concept.Concept.Label + "."
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default:
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return "Define " + concept.Concept.Label + " and give one concrete backend example."
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}
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}
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