refactor(go): split academy_handlers, workshop_handlers, content_generator
- academy_handlers.go (1046 LOC) → academy_handlers.go (228) + academy_enrollment_handlers.go (320) + academy_generation_handlers.go (472) - workshop_handlers.go (923 LOC) → workshop_handlers.go (292) + workshop_interaction_handlers.go (452) + workshop_export_handlers.go (196) - content_generator.go (978 LOC) → content_generator.go (491) + content_generator_media.go (497) All files under 500 LOC hard cap. Zero behavior changes, no exported symbol renames. Both packages vet clean. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Sharang Parnerkar
@@ -85,12 +85,12 @@ func (g *ContentGenerator) GenerateModuleContent(ctx context.Context, module Tra
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EntityType: AuditEntityModule,
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EntityID: &module.ID,
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Details: map[string]interface{}{
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"module_code": module.ModuleCode,
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"provider": resp.Provider,
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"model": resp.Model,
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"content_id": content.ID.String(),
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"version": content.Version,
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"tokens_used": resp.Usage.TotalTokens,
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"module_code": module.ModuleCode,
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"provider": resp.Provider,
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"model": resp.Model,
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"content_id": content.ID.String(),
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"version": content.Version,
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"tokens_used": resp.Usage.TotalTokens,
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},
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})
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@@ -145,153 +145,66 @@ func (g *ContentGenerator) GenerateQuizQuestions(ctx context.Context, module Tra
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return questions, nil
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}
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// ============================================================================
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// Prompt Templates
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// ============================================================================
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func getContentSystemPrompt(language string) string {
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if language == "en" {
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return "You are a compliance training content expert. Generate professional, accurate training material in Markdown format. Focus on practical relevance and legal accuracy. Do not include any personal data or fictional names."
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}
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return "Du bist ein Experte fuer Compliance-Schulungsinhalte. Erstelle professionelle, praezise Schulungsmaterialien im Markdown-Format. Fokussiere dich auf praktische Relevanz und rechtliche Genauigkeit. Verwende keine personenbezogenen Daten oder fiktiven Namen."
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}
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func getQuizSystemPrompt() string {
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return `Du bist ein Experte fuer Compliance-Pruefungsfragen. Erstelle Multiple-Choice-Fragen als JSON-Array.
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Jede Frage hat genau 4 Antwortoptionen, davon genau eine richtige.
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Antworte NUR mit dem JSON-Array, ohne zusaetzlichen Text.
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Format:
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[
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{
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"question": "Frage hier?",
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"options": ["Option A", "Option B", "Option C", "Option D"],
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"correct_index": 0,
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"explanation": "Erklaerung warum Option A richtig ist.",
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"difficulty": "medium"
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}
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]`
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}
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func buildContentPrompt(module TrainingModule, language string) string {
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regulationLabels := map[RegulationArea]string{
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RegulationDSGVO: "Datenschutz-Grundverordnung (DSGVO)",
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RegulationNIS2: "NIS-2-Richtlinie",
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RegulationISO27001: "ISO 27001 / ISMS",
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RegulationAIAct: "EU AI Act / KI-Verordnung",
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RegulationGeschGehG: "Geschaeftsgeheimnisgesetz (GeschGehG)",
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RegulationHinSchG: "Hinweisgeberschutzgesetz (HinSchG)",
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// GenerateAllModuleContent generates text content for all modules that don't have published content yet
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func (g *ContentGenerator) GenerateAllModuleContent(ctx context.Context, tenantID uuid.UUID, language string) (*BulkResult, error) {
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if language == "" {
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language = "de"
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}
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regulation := regulationLabels[module.RegulationArea]
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if regulation == "" {
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regulation = string(module.RegulationArea)
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modules, _, err := g.store.ListModules(ctx, tenantID, &ModuleFilters{Limit: 100})
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if err != nil {
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return nil, fmt.Errorf("failed to list modules: %w", err)
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}
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return fmt.Sprintf(`Erstelle Schulungsmaterial fuer folgendes Compliance-Modul:
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**Modulcode:** %s
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**Titel:** %s
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**Beschreibung:** %s
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**Regulierungsbereich:** %s
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**Dauer:** %d Minuten
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**NIS2-relevant:** %v
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Das Material soll:
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1. Eine kurze Einfuehrung in das Thema geben
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2. Die wichtigsten rechtlichen Grundlagen erklaeren
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3. Praktische Handlungsanweisungen fuer den Arbeitsalltag enthalten
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4. Typische Fehler und Risiken aufzeigen
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5. Eine Zusammenfassung der Kernpunkte bieten
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Verwende klare, verstaendliche Sprache. Zielgruppe sind Mitarbeiter in Unternehmen (50-1.500 MA).
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Formatiere den Inhalt als Markdown mit Ueberschriften, Aufzaehlungen und Hervorhebungen.`,
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module.ModuleCode, module.Title, module.Description,
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regulation, module.DurationMinutes, module.NIS2Relevant)
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}
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func buildQuizPrompt(module TrainingModule, contentContext string, count int) string {
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prompt := fmt.Sprintf(`Erstelle %d Multiple-Choice-Pruefungsfragen fuer das Compliance-Modul:
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**Modulcode:** %s
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**Titel:** %s
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**Regulierungsbereich:** %s`, count, module.ModuleCode, module.Title, string(module.RegulationArea))
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if contentContext != "" {
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// Truncate content to avoid token limit
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if len(contentContext) > 3000 {
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contentContext = contentContext[:3000] + "..."
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}
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prompt += fmt.Sprintf(`
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**Schulungsinhalt als Kontext:**
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%s`, contentContext)
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}
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prompt += fmt.Sprintf(`
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Erstelle genau %d Fragen mit je 4 Antwortoptionen.
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Verteile die Schwierigkeitsgrade: easy, medium, hard.
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Antworte NUR mit dem JSON-Array.`, count)
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return prompt
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}
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// parseQuizResponse parses LLM JSON response into QuizQuestion structs
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func parseQuizResponse(response string, moduleID uuid.UUID) ([]QuizQuestion, error) {
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// Try to extract JSON from the response (LLM might add text around it)
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jsonStr := response
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start := strings.Index(response, "[")
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end := strings.LastIndex(response, "]")
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if start >= 0 && end > start {
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jsonStr = response[start : end+1]
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}
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type rawQuestion struct {
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Question string `json:"question"`
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Options []string `json:"options"`
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CorrectIndex int `json:"correct_index"`
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Explanation string `json:"explanation"`
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Difficulty string `json:"difficulty"`
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}
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var rawQuestions []rawQuestion
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if err := json.Unmarshal([]byte(jsonStr), &rawQuestions); err != nil {
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return nil, fmt.Errorf("invalid JSON from LLM: %w", err)
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}
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var questions []QuizQuestion
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for _, rq := range rawQuestions {
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difficulty := Difficulty(rq.Difficulty)
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if difficulty != DifficultyEasy && difficulty != DifficultyMedium && difficulty != DifficultyHard {
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difficulty = DifficultyMedium
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}
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q := QuizQuestion{
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ModuleID: moduleID,
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Question: rq.Question,
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Options: rq.Options,
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CorrectIndex: rq.CorrectIndex,
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Explanation: rq.Explanation,
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Difficulty: difficulty,
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IsActive: true,
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}
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if len(q.Options) != 4 {
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continue // Skip malformed questions
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}
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if q.CorrectIndex < 0 || q.CorrectIndex >= len(q.Options) {
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result := &BulkResult{}
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for _, module := range modules {
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// Check if module already has published content
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content, _ := g.store.GetPublishedContent(ctx, module.ID)
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if content != nil {
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result.Skipped++
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continue
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}
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questions = append(questions, q)
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_, err := g.GenerateModuleContent(ctx, module, language)
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if err != nil {
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result.Errors = append(result.Errors, fmt.Sprintf("%s: %v", module.ModuleCode, err))
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continue
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}
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result.Generated++
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}
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if questions == nil {
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questions = []QuizQuestion{}
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return result, nil
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}
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// GenerateAllQuizQuestions generates quiz questions for all modules that don't have questions yet
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func (g *ContentGenerator) GenerateAllQuizQuestions(ctx context.Context, tenantID uuid.UUID, count int) (*BulkResult, error) {
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if count <= 0 {
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count = 5
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}
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return questions, nil
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modules, _, err := g.store.ListModules(ctx, tenantID, &ModuleFilters{Limit: 100})
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if err != nil {
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return nil, fmt.Errorf("failed to list modules: %w", err)
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}
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result := &BulkResult{}
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for _, module := range modules {
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// Check if module already has quiz questions
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questions, _ := g.store.ListQuizQuestions(ctx, module.ID)
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if len(questions) > 0 {
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result.Skipped++
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continue
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}
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_, err := g.GenerateQuizQuestions(ctx, module, count)
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if err != nil {
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result.Errors = append(result.Errors, fmt.Sprintf("%s: %v", module.ModuleCode, err))
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continue
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}
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result.Generated++
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}
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return result, nil
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}
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// GenerateBlockContent generates training content for a module based on linked canonical controls
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@@ -369,6 +282,98 @@ func (g *ContentGenerator) GenerateBlockContent(
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return content, nil
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}
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// ============================================================================
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// Prompt Templates
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// ============================================================================
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func getContentSystemPrompt(language string) string {
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if language == "en" {
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return "You are a compliance training content expert. Generate professional, accurate training material in Markdown format. Focus on practical relevance and legal accuracy. Do not include any personal data or fictional names."
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}
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return "Du bist ein Experte fuer Compliance-Schulungsinhalte. Erstelle professionelle, praezise Schulungsmaterialien im Markdown-Format. Fokussiere dich auf praktische Relevanz und rechtliche Genauigkeit. Verwende keine personenbezogenen Daten oder fiktiven Namen."
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}
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func getQuizSystemPrompt() string {
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return `Du bist ein Experte fuer Compliance-Pruefungsfragen. Erstelle Multiple-Choice-Fragen als JSON-Array.
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Jede Frage hat genau 4 Antwortoptionen, davon genau eine richtige.
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Antworte NUR mit dem JSON-Array, ohne zusaetzlichen Text.
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Format:
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[
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{
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"question": "Frage hier?",
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"options": ["Option A", "Option B", "Option C", "Option D"],
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"correct_index": 0,
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"explanation": "Erklaerung warum Option A richtig ist.",
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"difficulty": "medium"
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}
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]`
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}
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func buildContentPrompt(module TrainingModule, language string) string {
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regulationLabels := map[RegulationArea]string{
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RegulationDSGVO: "Datenschutz-Grundverordnung (DSGVO)",
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RegulationNIS2: "NIS-2-Richtlinie",
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RegulationISO27001: "ISO 27001 / ISMS",
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RegulationAIAct: "EU AI Act / KI-Verordnung",
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RegulationGeschGehG: "Geschaeftsgeheimnisgesetz (GeschGehG)",
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RegulationHinSchG: "Hinweisgeberschutzgesetz (HinSchG)",
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}
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regulation := regulationLabels[module.RegulationArea]
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if regulation == "" {
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regulation = string(module.RegulationArea)
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}
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return fmt.Sprintf(`Erstelle Schulungsmaterial fuer folgendes Compliance-Modul:
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**Modulcode:** %s
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**Titel:** %s
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**Beschreibung:** %s
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**Regulierungsbereich:** %s
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**Dauer:** %d Minuten
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**NIS2-relevant:** %v
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|
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Das Material soll:
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1. Eine kurze Einfuehrung in das Thema geben
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2. Die wichtigsten rechtlichen Grundlagen erklaeren
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3. Praktische Handlungsanweisungen fuer den Arbeitsalltag enthalten
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4. Typische Fehler und Risiken aufzeigen
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5. Eine Zusammenfassung der Kernpunkte bieten
|
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|
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Verwende klare, verstaendliche Sprache. Zielgruppe sind Mitarbeiter in Unternehmen (50-1.500 MA).
|
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Formatiere den Inhalt als Markdown mit Ueberschriften, Aufzaehlungen und Hervorhebungen.`,
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module.ModuleCode, module.Title, module.Description,
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regulation, module.DurationMinutes, module.NIS2Relevant)
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}
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func buildQuizPrompt(module TrainingModule, contentContext string, count int) string {
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prompt := fmt.Sprintf(`Erstelle %d Multiple-Choice-Pruefungsfragen fuer das Compliance-Modul:
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**Modulcode:** %s
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**Titel:** %s
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**Regulierungsbereich:** %s`, count, module.ModuleCode, module.Title, string(module.RegulationArea))
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if contentContext != "" {
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// Truncate content to avoid token limit
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if len(contentContext) > 3000 {
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contentContext = contentContext[:3000] + "..."
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}
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prompt += fmt.Sprintf(`
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**Schulungsinhalt als Kontext:**
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%s`, contentContext)
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}
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prompt += fmt.Sprintf(`
|
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Erstelle genau %d Fragen mit je 4 Antwortoptionen.
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Verteile die Schwierigkeitsgrade: easy, medium, hard.
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Antworte NUR mit dem JSON-Array.`, count)
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return prompt
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}
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// buildBlockContentPrompt creates a prompt that incorporates canonical controls
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func buildBlockContentPrompt(module TrainingModule, controls []CanonicalControlSummary, language string) string {
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var sb strings.Builder
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@@ -421,304 +426,61 @@ Formatiere den Inhalt als Markdown mit Ueberschriften, Aufzaehlungen und Hervorh
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return sb.String()
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}
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// GenerateAllModuleContent generates text content for all modules that don't have published content yet
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func (g *ContentGenerator) GenerateAllModuleContent(ctx context.Context, tenantID uuid.UUID, language string) (*BulkResult, error) {
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if language == "" {
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language = "de"
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}
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modules, _, err := g.store.ListModules(ctx, tenantID, &ModuleFilters{Limit: 100})
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if err != nil {
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return nil, fmt.Errorf("failed to list modules: %w", err)
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}
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result := &BulkResult{}
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for _, module := range modules {
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// Check if module already has published content
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content, _ := g.store.GetPublishedContent(ctx, module.ID)
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if content != nil {
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result.Skipped++
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continue
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}
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_, err := g.GenerateModuleContent(ctx, module, language)
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if err != nil {
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result.Errors = append(result.Errors, fmt.Sprintf("%s: %v", module.ModuleCode, err))
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continue
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}
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result.Generated++
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}
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return result, nil
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}
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// GenerateAllQuizQuestions generates quiz questions for all modules that don't have questions yet
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func (g *ContentGenerator) GenerateAllQuizQuestions(ctx context.Context, tenantID uuid.UUID, count int) (*BulkResult, error) {
|
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if count <= 0 {
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count = 5
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}
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modules, _, err := g.store.ListModules(ctx, tenantID, &ModuleFilters{Limit: 100})
|
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if err != nil {
|
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return nil, fmt.Errorf("failed to list modules: %w", err)
|
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}
|
||||
|
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result := &BulkResult{}
|
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for _, module := range modules {
|
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// Check if module already has quiz questions
|
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questions, _ := g.store.ListQuizQuestions(ctx, module.ID)
|
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if len(questions) > 0 {
|
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result.Skipped++
|
||||
continue
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}
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|
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_, err := g.GenerateQuizQuestions(ctx, module, count)
|
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if err != nil {
|
||||
result.Errors = append(result.Errors, fmt.Sprintf("%s: %v", module.ModuleCode, err))
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continue
|
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}
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||||
result.Generated++
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}
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||||
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return result, nil
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}
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// GenerateAudio generates audio for a module using the TTS service
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func (g *ContentGenerator) GenerateAudio(ctx context.Context, module TrainingModule) (*TrainingMedia, error) {
|
||||
// Get published content
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||||
content, err := g.store.GetPublishedContent(ctx, module.ID)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to get content: %w", err)
|
||||
}
|
||||
if content == nil {
|
||||
return nil, fmt.Errorf("no published content for module %s", module.ModuleCode)
|
||||
}
|
||||
|
||||
if g.ttsClient == nil {
|
||||
return nil, fmt.Errorf("TTS client not configured")
|
||||
}
|
||||
|
||||
// Create media record (processing)
|
||||
media := &TrainingMedia{
|
||||
ModuleID: module.ID,
|
||||
ContentID: &content.ID,
|
||||
MediaType: MediaTypeAudio,
|
||||
Status: MediaStatusProcessing,
|
||||
Bucket: "compliance-training-audio",
|
||||
ObjectKey: fmt.Sprintf("audio/%s/%s.mp3", module.ID.String(), content.ID.String()),
|
||||
MimeType: "audio/mpeg",
|
||||
VoiceModel: "de_DE-thorsten-high",
|
||||
Language: "de",
|
||||
GeneratedBy: "tts_piper",
|
||||
}
|
||||
|
||||
if err := g.store.CreateMedia(ctx, media); err != nil {
|
||||
return nil, fmt.Errorf("failed to create media record: %w", err)
|
||||
}
|
||||
|
||||
// Call TTS service
|
||||
ttsResp, err := g.ttsClient.Synthesize(ctx, &TTSSynthesizeRequest{
|
||||
Text: content.ContentBody,
|
||||
Language: "de",
|
||||
Voice: "thorsten-high",
|
||||
ModuleID: module.ID.String(),
|
||||
ContentID: content.ID.String(),
|
||||
})
|
||||
|
||||
if err != nil {
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusFailed, 0, 0, err.Error())
|
||||
return nil, fmt.Errorf("TTS synthesis failed: %w", err)
|
||||
}
|
||||
|
||||
// Update media record
|
||||
media.Status = MediaStatusCompleted
|
||||
media.FileSizeBytes = ttsResp.SizeBytes
|
||||
media.DurationSeconds = ttsResp.DurationSeconds
|
||||
media.ObjectKey = ttsResp.ObjectKey
|
||||
media.Bucket = ttsResp.Bucket
|
||||
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusCompleted, ttsResp.SizeBytes, ttsResp.DurationSeconds, "")
|
||||
|
||||
// Audit log
|
||||
g.store.LogAction(ctx, &AuditLogEntry{
|
||||
TenantID: module.TenantID,
|
||||
Action: AuditAction("audio_generated"),
|
||||
EntityType: AuditEntityModule,
|
||||
EntityID: &module.ID,
|
||||
Details: map[string]interface{}{
|
||||
"module_code": module.ModuleCode,
|
||||
"media_id": media.ID.String(),
|
||||
"duration_seconds": ttsResp.DurationSeconds,
|
||||
"size_bytes": ttsResp.SizeBytes,
|
||||
},
|
||||
})
|
||||
|
||||
return media, nil
|
||||
}
|
||||
|
||||
// VideoScript represents a structured presentation script
|
||||
type VideoScript struct {
|
||||
Title string `json:"title"`
|
||||
Sections []VideoScriptSection `json:"sections"`
|
||||
}
|
||||
|
||||
// VideoScriptSection is one slide in the presentation
|
||||
type VideoScriptSection struct {
|
||||
Heading string `json:"heading"`
|
||||
Text string `json:"text"`
|
||||
BulletPoints []string `json:"bullet_points"`
|
||||
}
|
||||
|
||||
// GenerateVideoScript generates a structured video script from module content via LLM
|
||||
func (g *ContentGenerator) GenerateVideoScript(ctx context.Context, module TrainingModule) (*VideoScript, error) {
|
||||
content, err := g.store.GetPublishedContent(ctx, module.ID)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to get content: %w", err)
|
||||
}
|
||||
if content == nil {
|
||||
return nil, fmt.Errorf("no published content for module %s", module.ModuleCode)
|
||||
}
|
||||
|
||||
prompt := fmt.Sprintf(`Erstelle ein strukturiertes Folien-Script fuer eine Praesentations-Video-Schulung.
|
||||
|
||||
**Modul:** %s — %s
|
||||
**Inhalt:**
|
||||
%s
|
||||
|
||||
Erstelle 5-8 Folien. Jede Folie hat:
|
||||
- heading: Kurze Ueberschrift (max 60 Zeichen)
|
||||
- text: Erklaerungstext (1-2 Saetze)
|
||||
- bullet_points: 2-4 Kernpunkte
|
||||
|
||||
Antworte NUR mit einem JSON-Objekt in diesem Format:
|
||||
{
|
||||
"title": "Titel der Praesentation",
|
||||
"sections": [
|
||||
{
|
||||
"heading": "Folienueberschrift",
|
||||
"text": "Erklaerungstext fuer diese Folie.",
|
||||
"bullet_points": ["Punkt 1", "Punkt 2", "Punkt 3"]
|
||||
}
|
||||
]
|
||||
}`, module.ModuleCode, module.Title, truncateText(content.ContentBody, 3000))
|
||||
|
||||
resp, err := g.registry.Chat(ctx, &llm.ChatRequest{
|
||||
Messages: []llm.Message{
|
||||
{Role: "system", Content: "Du bist ein Experte fuer Compliance-Schulungspraesentationen. Erstelle strukturierte Folien-Scripts als JSON. Antworte NUR mit dem JSON-Objekt."},
|
||||
{Role: "user", Content: prompt},
|
||||
},
|
||||
Temperature: 0.15,
|
||||
MaxTokens: 4096,
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("LLM video script generation failed: %w", err)
|
||||
}
|
||||
|
||||
// Parse JSON response
|
||||
var script VideoScript
|
||||
jsonStr := resp.Message.Content
|
||||
start := strings.Index(jsonStr, "{")
|
||||
end := strings.LastIndex(jsonStr, "}")
|
||||
// parseQuizResponse parses LLM JSON response into QuizQuestion structs
|
||||
func parseQuizResponse(response string, moduleID uuid.UUID) ([]QuizQuestion, error) {
|
||||
// Try to extract JSON from the response (LLM might add text around it)
|
||||
jsonStr := response
|
||||
start := strings.Index(response, "[")
|
||||
end := strings.LastIndex(response, "]")
|
||||
if start >= 0 && end > start {
|
||||
jsonStr = jsonStr[start : end+1]
|
||||
jsonStr = response[start : end+1]
|
||||
}
|
||||
|
||||
if err := json.Unmarshal([]byte(jsonStr), &script); err != nil {
|
||||
return nil, fmt.Errorf("failed to parse video script JSON: %w", err)
|
||||
type rawQuestion struct {
|
||||
Question string `json:"question"`
|
||||
Options []string `json:"options"`
|
||||
CorrectIndex int `json:"correct_index"`
|
||||
Explanation string `json:"explanation"`
|
||||
Difficulty string `json:"difficulty"`
|
||||
}
|
||||
|
||||
if len(script.Sections) == 0 {
|
||||
return nil, fmt.Errorf("video script has no sections")
|
||||
var rawQuestions []rawQuestion
|
||||
if err := json.Unmarshal([]byte(jsonStr), &rawQuestions); err != nil {
|
||||
return nil, fmt.Errorf("invalid JSON from LLM: %w", err)
|
||||
}
|
||||
|
||||
return &script, nil
|
||||
}
|
||||
|
||||
// GenerateVideo generates a presentation video for a module
|
||||
func (g *ContentGenerator) GenerateVideo(ctx context.Context, module TrainingModule) (*TrainingMedia, error) {
|
||||
if g.ttsClient == nil {
|
||||
return nil, fmt.Errorf("TTS client not configured")
|
||||
}
|
||||
|
||||
// Check for published audio, generate if missing
|
||||
audio, _ := g.store.GetPublishedAudio(ctx, module.ID)
|
||||
if audio == nil {
|
||||
// Try to generate audio first
|
||||
var err error
|
||||
audio, err = g.GenerateAudio(ctx, module)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("audio generation required but failed: %w", err)
|
||||
var questions []QuizQuestion
|
||||
for _, rq := range rawQuestions {
|
||||
difficulty := Difficulty(rq.Difficulty)
|
||||
if difficulty != DifficultyEasy && difficulty != DifficultyMedium && difficulty != DifficultyHard {
|
||||
difficulty = DifficultyMedium
|
||||
}
|
||||
// Auto-publish the audio
|
||||
g.store.PublishMedia(ctx, audio.ID, true)
|
||||
|
||||
q := QuizQuestion{
|
||||
ModuleID: moduleID,
|
||||
Question: rq.Question,
|
||||
Options: rq.Options,
|
||||
CorrectIndex: rq.CorrectIndex,
|
||||
Explanation: rq.Explanation,
|
||||
Difficulty: difficulty,
|
||||
IsActive: true,
|
||||
}
|
||||
|
||||
if len(q.Options) != 4 {
|
||||
continue // Skip malformed questions
|
||||
}
|
||||
if q.CorrectIndex < 0 || q.CorrectIndex >= len(q.Options) {
|
||||
continue
|
||||
}
|
||||
|
||||
questions = append(questions, q)
|
||||
}
|
||||
|
||||
// Generate video script via LLM
|
||||
script, err := g.GenerateVideoScript(ctx, module)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("video script generation failed: %w", err)
|
||||
if questions == nil {
|
||||
questions = []QuizQuestion{}
|
||||
}
|
||||
|
||||
// Create media record
|
||||
media := &TrainingMedia{
|
||||
ModuleID: module.ID,
|
||||
MediaType: MediaTypeVideo,
|
||||
Status: MediaStatusProcessing,
|
||||
Bucket: "compliance-training-video",
|
||||
ObjectKey: fmt.Sprintf("video/%s/presentation.mp4", module.ID.String()),
|
||||
MimeType: "video/mp4",
|
||||
Language: "de",
|
||||
GeneratedBy: "tts_ffmpeg",
|
||||
}
|
||||
|
||||
if err := g.store.CreateMedia(ctx, media); err != nil {
|
||||
return nil, fmt.Errorf("failed to create media record: %w", err)
|
||||
}
|
||||
|
||||
// Build script map for TTS service
|
||||
scriptMap := map[string]interface{}{
|
||||
"title": script.Title,
|
||||
"module_code": module.ModuleCode,
|
||||
"sections": script.Sections,
|
||||
}
|
||||
|
||||
// Call TTS service video generation
|
||||
videoResp, err := g.ttsClient.GenerateVideo(ctx, &TTSGenerateVideoRequest{
|
||||
Script: scriptMap,
|
||||
AudioObjectKey: audio.ObjectKey,
|
||||
ModuleID: module.ID.String(),
|
||||
})
|
||||
|
||||
if err != nil {
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusFailed, 0, 0, err.Error())
|
||||
return nil, fmt.Errorf("video generation failed: %w", err)
|
||||
}
|
||||
|
||||
// Update media record
|
||||
media.Status = MediaStatusCompleted
|
||||
media.FileSizeBytes = videoResp.SizeBytes
|
||||
media.DurationSeconds = videoResp.DurationSeconds
|
||||
media.ObjectKey = videoResp.ObjectKey
|
||||
media.Bucket = videoResp.Bucket
|
||||
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusCompleted, videoResp.SizeBytes, videoResp.DurationSeconds, "")
|
||||
|
||||
// Audit log
|
||||
g.store.LogAction(ctx, &AuditLogEntry{
|
||||
TenantID: module.TenantID,
|
||||
Action: AuditAction("video_generated"),
|
||||
EntityType: AuditEntityModule,
|
||||
EntityID: &module.ID,
|
||||
Details: map[string]interface{}{
|
||||
"module_code": module.ModuleCode,
|
||||
"media_id": media.ID.String(),
|
||||
"duration_seconds": videoResp.DurationSeconds,
|
||||
"size_bytes": videoResp.SizeBytes,
|
||||
"slides": len(script.Sections),
|
||||
},
|
||||
})
|
||||
|
||||
return media, nil
|
||||
return questions, nil
|
||||
}
|
||||
|
||||
func truncateText(text string, maxLen int) string {
|
||||
@@ -727,252 +489,3 @@ func truncateText(text string, maxLen int) string {
|
||||
}
|
||||
return text[:maxLen] + "..."
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Interactive Video Pipeline
|
||||
// ============================================================================
|
||||
|
||||
const narratorSystemPrompt = `Du bist ein professioneller AI Teacher fuer Compliance-Schulungen.
|
||||
Dein Stil ist foermlich aber freundlich, klar und paedagogisch wertvoll.
|
||||
Du sprichst die Lernenden direkt an ("Sie") und fuehrst sie durch die Schulung.
|
||||
Du erzeugst IMMER deutschsprachige Inhalte.
|
||||
|
||||
Dein Output ist ein JSON-Objekt im Format NarratorScript.
|
||||
Jede Section sollte etwa 3 Minuten Sprechzeit haben (~450 Woerter Narrator-Text).
|
||||
Nach jeder Section kommt ein Checkpoint mit 3-5 Quiz-Fragen.
|
||||
Die Fragen testen das Verstaendnis des gerade Gelernten.
|
||||
Jede Frage hat genau 4 Antwortmoeglichkeiten, wobei correct_index (0-basiert) die richtige Antwort angibt.
|
||||
|
||||
Antworte NUR mit dem JSON-Objekt, ohne Markdown-Codeblock-Wrapper.`
|
||||
|
||||
// GenerateNarratorScript generates a narrator-style video script with checkpoints via LLM
|
||||
func (g *ContentGenerator) GenerateNarratorScript(ctx context.Context, module TrainingModule) (*NarratorScript, error) {
|
||||
content, err := g.store.GetPublishedContent(ctx, module.ID)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to get content: %w", err)
|
||||
}
|
||||
|
||||
contentContext := ""
|
||||
if content != nil {
|
||||
contentContext = fmt.Sprintf("\n\n**Vorhandener Schulungsinhalt (als Basis):**\n%s", truncateText(content.ContentBody, 4000))
|
||||
}
|
||||
|
||||
prompt := fmt.Sprintf(`Erstelle ein interaktives Schulungsvideo-Skript mit Erzaehlerpersona und Checkpoints.
|
||||
|
||||
**Modul:** %s — %s
|
||||
**Verordnung:** %s
|
||||
**Beschreibung:** %s
|
||||
**Dauer:** ca. %d Minuten
|
||||
%s
|
||||
|
||||
Erstelle ein NarratorScript-JSON mit:
|
||||
- "title": Titel der Schulung
|
||||
- "intro": Begruessungstext ("Hallo, ich bin Ihr AI Teacher. Heute lernen Sie...")
|
||||
- "sections": Array mit 3-4 Abschnitten, jeder mit:
|
||||
- "heading": Abschnittsueberschrift
|
||||
- "narrator_text": Fliesstext im Erzaehlstil (~450 Woerter, ~3 Min Sprechzeit)
|
||||
- "bullet_points": 3-5 Kernpunkte fuer die Folie
|
||||
- "transition": Ueberleitung zum naechsten Abschnitt oder Checkpoint
|
||||
- "checkpoint": Quiz-Block mit:
|
||||
- "title": Checkpoint-Titel
|
||||
- "questions": Array mit 3-5 Fragen, je:
|
||||
- "question": Fragetext
|
||||
- "options": Array mit 4 Antworten
|
||||
- "correct_index": Index der richtigen Antwort (0-basiert)
|
||||
- "explanation": Erklaerung der richtigen Antwort
|
||||
- "outro": Abschlussworte
|
||||
- "total_duration_estimate": geschaetzte Gesamtdauer in Sekunden
|
||||
|
||||
Antworte NUR mit dem JSON-Objekt.`,
|
||||
module.ModuleCode, module.Title,
|
||||
string(module.RegulationArea),
|
||||
module.Description,
|
||||
module.DurationMinutes,
|
||||
contentContext,
|
||||
)
|
||||
|
||||
resp, err := g.registry.Chat(ctx, &llm.ChatRequest{
|
||||
Messages: []llm.Message{
|
||||
{Role: "system", Content: narratorSystemPrompt},
|
||||
{Role: "user", Content: prompt},
|
||||
},
|
||||
Temperature: 0.2,
|
||||
MaxTokens: 8192,
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("LLM narrator script generation failed: %w", err)
|
||||
}
|
||||
|
||||
return parseNarratorScript(resp.Message.Content)
|
||||
}
|
||||
|
||||
// parseNarratorScript extracts a NarratorScript from LLM output
|
||||
func parseNarratorScript(content string) (*NarratorScript, error) {
|
||||
// Find JSON object in response
|
||||
start := strings.Index(content, "{")
|
||||
end := strings.LastIndex(content, "}")
|
||||
if start < 0 || end <= start {
|
||||
return nil, fmt.Errorf("no JSON object found in LLM response")
|
||||
}
|
||||
jsonStr := content[start : end+1]
|
||||
|
||||
var script NarratorScript
|
||||
if err := json.Unmarshal([]byte(jsonStr), &script); err != nil {
|
||||
return nil, fmt.Errorf("failed to parse narrator script JSON: %w", err)
|
||||
}
|
||||
|
||||
if len(script.Sections) == 0 {
|
||||
return nil, fmt.Errorf("narrator script has no sections")
|
||||
}
|
||||
|
||||
return &script, nil
|
||||
}
|
||||
|
||||
// GenerateInteractiveVideo orchestrates the full interactive video pipeline:
|
||||
// NarratorScript → TTS Audio → Slides+Video → DB Checkpoints + Quiz Questions
|
||||
func (g *ContentGenerator) GenerateInteractiveVideo(ctx context.Context, module TrainingModule) (*TrainingMedia, error) {
|
||||
if g.ttsClient == nil {
|
||||
return nil, fmt.Errorf("TTS client not configured")
|
||||
}
|
||||
|
||||
// 1. Generate NarratorScript via LLM
|
||||
script, err := g.GenerateNarratorScript(ctx, module)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("narrator script generation failed: %w", err)
|
||||
}
|
||||
|
||||
// 2. Synthesize audio per section via TTS service
|
||||
sections := make([]SectionAudio, len(script.Sections))
|
||||
for i, s := range script.Sections {
|
||||
// Combine narrator text with intro/outro for first/last section
|
||||
text := s.NarratorText
|
||||
if i == 0 && script.Intro != "" {
|
||||
text = script.Intro + "\n\n" + text
|
||||
}
|
||||
if i == len(script.Sections)-1 && script.Outro != "" {
|
||||
text = text + "\n\n" + script.Outro
|
||||
}
|
||||
sections[i] = SectionAudio{
|
||||
Text: text,
|
||||
Heading: s.Heading,
|
||||
}
|
||||
}
|
||||
|
||||
audioResp, err := g.ttsClient.SynthesizeSections(ctx, &SynthesizeSectionsRequest{
|
||||
Sections: sections,
|
||||
Voice: "de_DE-thorsten-high",
|
||||
ModuleID: module.ID.String(),
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("section audio synthesis failed: %w", err)
|
||||
}
|
||||
|
||||
// 3. Generate interactive video via TTS service
|
||||
videoResp, err := g.ttsClient.GenerateInteractiveVideo(ctx, &GenerateInteractiveVideoRequest{
|
||||
Script: script,
|
||||
Audio: audioResp,
|
||||
ModuleID: module.ID.String(),
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("interactive video generation failed: %w", err)
|
||||
}
|
||||
|
||||
// 4. Save TrainingMedia record
|
||||
scriptJSON, _ := json.Marshal(script)
|
||||
media := &TrainingMedia{
|
||||
ModuleID: module.ID,
|
||||
MediaType: MediaTypeInteractiveVideo,
|
||||
Status: MediaStatusProcessing,
|
||||
Bucket: "compliance-training-video",
|
||||
ObjectKey: fmt.Sprintf("video/%s/interactive.mp4", module.ID.String()),
|
||||
MimeType: "video/mp4",
|
||||
Language: "de",
|
||||
GeneratedBy: "tts_ffmpeg_interactive",
|
||||
Metadata: scriptJSON,
|
||||
}
|
||||
|
||||
if err := g.store.CreateMedia(ctx, media); err != nil {
|
||||
return nil, fmt.Errorf("failed to create media record: %w", err)
|
||||
}
|
||||
|
||||
// Update media with video result
|
||||
media.Status = MediaStatusCompleted
|
||||
media.FileSizeBytes = videoResp.SizeBytes
|
||||
media.DurationSeconds = videoResp.DurationSeconds
|
||||
media.ObjectKey = videoResp.ObjectKey
|
||||
media.Bucket = videoResp.Bucket
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusCompleted, videoResp.SizeBytes, videoResp.DurationSeconds, "")
|
||||
|
||||
// Auto-publish
|
||||
g.store.PublishMedia(ctx, media.ID, true)
|
||||
|
||||
// 5. Create Checkpoints + Quiz Questions in DB
|
||||
// Clear old checkpoints first
|
||||
g.store.DeleteCheckpointsForModule(ctx, module.ID)
|
||||
|
||||
for i, section := range script.Sections {
|
||||
if section.Checkpoint == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
// Calculate timestamp from cumulative audio durations
|
||||
var timestamp float64
|
||||
if i < len(audioResp.Sections) {
|
||||
// Checkpoint timestamp = end of this section's audio
|
||||
timestamp = audioResp.Sections[i].StartTimestamp + audioResp.Sections[i].Duration
|
||||
}
|
||||
|
||||
cp := &Checkpoint{
|
||||
ModuleID: module.ID,
|
||||
CheckpointIndex: i,
|
||||
Title: section.Checkpoint.Title,
|
||||
TimestampSeconds: timestamp,
|
||||
}
|
||||
if err := g.store.CreateCheckpoint(ctx, cp); err != nil {
|
||||
return nil, fmt.Errorf("failed to create checkpoint %d: %w", i, err)
|
||||
}
|
||||
|
||||
// Save quiz questions for this checkpoint
|
||||
for j, q := range section.Checkpoint.Questions {
|
||||
question := &QuizQuestion{
|
||||
ModuleID: module.ID,
|
||||
Question: q.Question,
|
||||
Options: q.Options,
|
||||
CorrectIndex: q.CorrectIndex,
|
||||
Explanation: q.Explanation,
|
||||
Difficulty: DifficultyMedium,
|
||||
SortOrder: j,
|
||||
}
|
||||
if err := g.store.CreateCheckpointQuizQuestion(ctx, question, cp.ID); err != nil {
|
||||
return nil, fmt.Errorf("failed to create checkpoint question: %w", err)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 6. Audit log
|
||||
g.store.LogAction(ctx, &AuditLogEntry{
|
||||
TenantID: module.TenantID,
|
||||
Action: AuditAction("interactive_video_generated"),
|
||||
EntityType: AuditEntityModule,
|
||||
EntityID: &module.ID,
|
||||
Details: map[string]interface{}{
|
||||
"module_code": module.ModuleCode,
|
||||
"media_id": media.ID.String(),
|
||||
"duration_seconds": videoResp.DurationSeconds,
|
||||
"sections": len(script.Sections),
|
||||
"checkpoints": countCheckpoints(script),
|
||||
},
|
||||
})
|
||||
|
||||
return media, nil
|
||||
}
|
||||
|
||||
func countCheckpoints(script *NarratorScript) int {
|
||||
count := 0
|
||||
for _, s := range script.Sections {
|
||||
if s.Checkpoint != nil {
|
||||
count++
|
||||
}
|
||||
}
|
||||
return count
|
||||
}
|
||||
|
||||
497
ai-compliance-sdk/internal/training/content_generator_media.go
Normal file
497
ai-compliance-sdk/internal/training/content_generator_media.go
Normal file
@@ -0,0 +1,497 @@
|
||||
package training
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"strings"
|
||||
|
||||
"github.com/breakpilot/ai-compliance-sdk/internal/llm"
|
||||
)
|
||||
|
||||
// VideoScript represents a structured presentation script
|
||||
type VideoScript struct {
|
||||
Title string `json:"title"`
|
||||
Sections []VideoScriptSection `json:"sections"`
|
||||
}
|
||||
|
||||
// VideoScriptSection is one slide in the presentation
|
||||
type VideoScriptSection struct {
|
||||
Heading string `json:"heading"`
|
||||
Text string `json:"text"`
|
||||
BulletPoints []string `json:"bullet_points"`
|
||||
}
|
||||
|
||||
// GenerateAudio generates audio for a module using the TTS service
|
||||
func (g *ContentGenerator) GenerateAudio(ctx context.Context, module TrainingModule) (*TrainingMedia, error) {
|
||||
// Get published content
|
||||
content, err := g.store.GetPublishedContent(ctx, module.ID)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to get content: %w", err)
|
||||
}
|
||||
if content == nil {
|
||||
return nil, fmt.Errorf("no published content for module %s", module.ModuleCode)
|
||||
}
|
||||
|
||||
if g.ttsClient == nil {
|
||||
return nil, fmt.Errorf("TTS client not configured")
|
||||
}
|
||||
|
||||
// Create media record (processing)
|
||||
media := &TrainingMedia{
|
||||
ModuleID: module.ID,
|
||||
ContentID: &content.ID,
|
||||
MediaType: MediaTypeAudio,
|
||||
Status: MediaStatusProcessing,
|
||||
Bucket: "compliance-training-audio",
|
||||
ObjectKey: fmt.Sprintf("audio/%s/%s.mp3", module.ID.String(), content.ID.String()),
|
||||
MimeType: "audio/mpeg",
|
||||
VoiceModel: "de_DE-thorsten-high",
|
||||
Language: "de",
|
||||
GeneratedBy: "tts_piper",
|
||||
}
|
||||
|
||||
if err := g.store.CreateMedia(ctx, media); err != nil {
|
||||
return nil, fmt.Errorf("failed to create media record: %w", err)
|
||||
}
|
||||
|
||||
// Call TTS service
|
||||
ttsResp, err := g.ttsClient.Synthesize(ctx, &TTSSynthesizeRequest{
|
||||
Text: content.ContentBody,
|
||||
Language: "de",
|
||||
Voice: "thorsten-high",
|
||||
ModuleID: module.ID.String(),
|
||||
ContentID: content.ID.String(),
|
||||
})
|
||||
|
||||
if err != nil {
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusFailed, 0, 0, err.Error())
|
||||
return nil, fmt.Errorf("TTS synthesis failed: %w", err)
|
||||
}
|
||||
|
||||
// Update media record
|
||||
media.Status = MediaStatusCompleted
|
||||
media.FileSizeBytes = ttsResp.SizeBytes
|
||||
media.DurationSeconds = ttsResp.DurationSeconds
|
||||
media.ObjectKey = ttsResp.ObjectKey
|
||||
media.Bucket = ttsResp.Bucket
|
||||
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusCompleted, ttsResp.SizeBytes, ttsResp.DurationSeconds, "")
|
||||
|
||||
// Audit log
|
||||
g.store.LogAction(ctx, &AuditLogEntry{
|
||||
TenantID: module.TenantID,
|
||||
Action: AuditAction("audio_generated"),
|
||||
EntityType: AuditEntityModule,
|
||||
EntityID: &module.ID,
|
||||
Details: map[string]interface{}{
|
||||
"module_code": module.ModuleCode,
|
||||
"media_id": media.ID.String(),
|
||||
"duration_seconds": ttsResp.DurationSeconds,
|
||||
"size_bytes": ttsResp.SizeBytes,
|
||||
},
|
||||
})
|
||||
|
||||
return media, nil
|
||||
}
|
||||
|
||||
// GenerateVideoScript generates a structured video script from module content via LLM
|
||||
func (g *ContentGenerator) GenerateVideoScript(ctx context.Context, module TrainingModule) (*VideoScript, error) {
|
||||
content, err := g.store.GetPublishedContent(ctx, module.ID)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to get content: %w", err)
|
||||
}
|
||||
if content == nil {
|
||||
return nil, fmt.Errorf("no published content for module %s", module.ModuleCode)
|
||||
}
|
||||
|
||||
prompt := fmt.Sprintf(`Erstelle ein strukturiertes Folien-Script fuer eine Praesentations-Video-Schulung.
|
||||
|
||||
**Modul:** %s — %s
|
||||
**Inhalt:**
|
||||
%s
|
||||
|
||||
Erstelle 5-8 Folien. Jede Folie hat:
|
||||
- heading: Kurze Ueberschrift (max 60 Zeichen)
|
||||
- text: Erklaerungstext (1-2 Saetze)
|
||||
- bullet_points: 2-4 Kernpunkte
|
||||
|
||||
Antworte NUR mit einem JSON-Objekt in diesem Format:
|
||||
{
|
||||
"title": "Titel der Praesentation",
|
||||
"sections": [
|
||||
{
|
||||
"heading": "Folienueberschrift",
|
||||
"text": "Erklaerungstext fuer diese Folie.",
|
||||
"bullet_points": ["Punkt 1", "Punkt 2", "Punkt 3"]
|
||||
}
|
||||
]
|
||||
}`, module.ModuleCode, module.Title, truncateText(content.ContentBody, 3000))
|
||||
|
||||
resp, err := g.registry.Chat(ctx, &llm.ChatRequest{
|
||||
Messages: []llm.Message{
|
||||
{Role: "system", Content: "Du bist ein Experte fuer Compliance-Schulungspraesentationen. Erstelle strukturierte Folien-Scripts als JSON. Antworte NUR mit dem JSON-Objekt."},
|
||||
{Role: "user", Content: prompt},
|
||||
},
|
||||
Temperature: 0.15,
|
||||
MaxTokens: 4096,
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("LLM video script generation failed: %w", err)
|
||||
}
|
||||
|
||||
// Parse JSON response
|
||||
var script VideoScript
|
||||
jsonStr := resp.Message.Content
|
||||
start := strings.Index(jsonStr, "{")
|
||||
end := strings.LastIndex(jsonStr, "}")
|
||||
if start >= 0 && end > start {
|
||||
jsonStr = jsonStr[start : end+1]
|
||||
}
|
||||
|
||||
if err := json.Unmarshal([]byte(jsonStr), &script); err != nil {
|
||||
return nil, fmt.Errorf("failed to parse video script JSON: %w", err)
|
||||
}
|
||||
|
||||
if len(script.Sections) == 0 {
|
||||
return nil, fmt.Errorf("video script has no sections")
|
||||
}
|
||||
|
||||
return &script, nil
|
||||
}
|
||||
|
||||
// GenerateVideo generates a presentation video for a module
|
||||
func (g *ContentGenerator) GenerateVideo(ctx context.Context, module TrainingModule) (*TrainingMedia, error) {
|
||||
if g.ttsClient == nil {
|
||||
return nil, fmt.Errorf("TTS client not configured")
|
||||
}
|
||||
|
||||
// Check for published audio, generate if missing
|
||||
audio, _ := g.store.GetPublishedAudio(ctx, module.ID)
|
||||
if audio == nil {
|
||||
// Try to generate audio first
|
||||
var err error
|
||||
audio, err = g.GenerateAudio(ctx, module)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("audio generation required but failed: %w", err)
|
||||
}
|
||||
// Auto-publish the audio
|
||||
g.store.PublishMedia(ctx, audio.ID, true)
|
||||
}
|
||||
|
||||
// Generate video script via LLM
|
||||
script, err := g.GenerateVideoScript(ctx, module)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("video script generation failed: %w", err)
|
||||
}
|
||||
|
||||
// Create media record
|
||||
media := &TrainingMedia{
|
||||
ModuleID: module.ID,
|
||||
MediaType: MediaTypeVideo,
|
||||
Status: MediaStatusProcessing,
|
||||
Bucket: "compliance-training-video",
|
||||
ObjectKey: fmt.Sprintf("video/%s/presentation.mp4", module.ID.String()),
|
||||
MimeType: "video/mp4",
|
||||
Language: "de",
|
||||
GeneratedBy: "tts_ffmpeg",
|
||||
}
|
||||
|
||||
if err := g.store.CreateMedia(ctx, media); err != nil {
|
||||
return nil, fmt.Errorf("failed to create media record: %w", err)
|
||||
}
|
||||
|
||||
// Build script map for TTS service
|
||||
scriptMap := map[string]interface{}{
|
||||
"title": script.Title,
|
||||
"module_code": module.ModuleCode,
|
||||
"sections": script.Sections,
|
||||
}
|
||||
|
||||
// Call TTS service video generation
|
||||
videoResp, err := g.ttsClient.GenerateVideo(ctx, &TTSGenerateVideoRequest{
|
||||
Script: scriptMap,
|
||||
AudioObjectKey: audio.ObjectKey,
|
||||
ModuleID: module.ID.String(),
|
||||
})
|
||||
|
||||
if err != nil {
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusFailed, 0, 0, err.Error())
|
||||
return nil, fmt.Errorf("video generation failed: %w", err)
|
||||
}
|
||||
|
||||
// Update media record
|
||||
media.Status = MediaStatusCompleted
|
||||
media.FileSizeBytes = videoResp.SizeBytes
|
||||
media.DurationSeconds = videoResp.DurationSeconds
|
||||
media.ObjectKey = videoResp.ObjectKey
|
||||
media.Bucket = videoResp.Bucket
|
||||
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusCompleted, videoResp.SizeBytes, videoResp.DurationSeconds, "")
|
||||
|
||||
// Audit log
|
||||
g.store.LogAction(ctx, &AuditLogEntry{
|
||||
TenantID: module.TenantID,
|
||||
Action: AuditAction("video_generated"),
|
||||
EntityType: AuditEntityModule,
|
||||
EntityID: &module.ID,
|
||||
Details: map[string]interface{}{
|
||||
"module_code": module.ModuleCode,
|
||||
"media_id": media.ID.String(),
|
||||
"duration_seconds": videoResp.DurationSeconds,
|
||||
"size_bytes": videoResp.SizeBytes,
|
||||
"slides": len(script.Sections),
|
||||
},
|
||||
})
|
||||
|
||||
return media, nil
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Interactive Video Pipeline
|
||||
// ============================================================================
|
||||
|
||||
const narratorSystemPrompt = `Du bist ein professioneller AI Teacher fuer Compliance-Schulungen.
|
||||
Dein Stil ist foermlich aber freundlich, klar und paedagogisch wertvoll.
|
||||
Du sprichst die Lernenden direkt an ("Sie") und fuehrst sie durch die Schulung.
|
||||
Du erzeugst IMMER deutschsprachige Inhalte.
|
||||
|
||||
Dein Output ist ein JSON-Objekt im Format NarratorScript.
|
||||
Jede Section sollte etwa 3 Minuten Sprechzeit haben (~450 Woerter Narrator-Text).
|
||||
Nach jeder Section kommt ein Checkpoint mit 3-5 Quiz-Fragen.
|
||||
Die Fragen testen das Verstaendnis des gerade Gelernten.
|
||||
Jede Frage hat genau 4 Antwortmoeglichkeiten, wobei correct_index (0-basiert) die richtige Antwort angibt.
|
||||
|
||||
Antworte NUR mit dem JSON-Objekt, ohne Markdown-Codeblock-Wrapper.`
|
||||
|
||||
// GenerateNarratorScript generates a narrator-style video script with checkpoints via LLM
|
||||
func (g *ContentGenerator) GenerateNarratorScript(ctx context.Context, module TrainingModule) (*NarratorScript, error) {
|
||||
content, err := g.store.GetPublishedContent(ctx, module.ID)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to get content: %w", err)
|
||||
}
|
||||
|
||||
contentContext := ""
|
||||
if content != nil {
|
||||
contentContext = fmt.Sprintf("\n\n**Vorhandener Schulungsinhalt (als Basis):**\n%s", truncateText(content.ContentBody, 4000))
|
||||
}
|
||||
|
||||
prompt := fmt.Sprintf(`Erstelle ein interaktives Schulungsvideo-Skript mit Erzaehlerpersona und Checkpoints.
|
||||
|
||||
**Modul:** %s — %s
|
||||
**Verordnung:** %s
|
||||
**Beschreibung:** %s
|
||||
**Dauer:** ca. %d Minuten
|
||||
%s
|
||||
|
||||
Erstelle ein NarratorScript-JSON mit:
|
||||
- "title": Titel der Schulung
|
||||
- "intro": Begruessungstext ("Hallo, ich bin Ihr AI Teacher. Heute lernen Sie...")
|
||||
- "sections": Array mit 3-4 Abschnitten, jeder mit:
|
||||
- "heading": Abschnittsueberschrift
|
||||
- "narrator_text": Fliesstext im Erzaehlstil (~450 Woerter, ~3 Min Sprechzeit)
|
||||
- "bullet_points": 3-5 Kernpunkte fuer die Folie
|
||||
- "transition": Ueberleitung zum naechsten Abschnitt oder Checkpoint
|
||||
- "checkpoint": Quiz-Block mit:
|
||||
- "title": Checkpoint-Titel
|
||||
- "questions": Array mit 3-5 Fragen, je:
|
||||
- "question": Fragetext
|
||||
- "options": Array mit 4 Antworten
|
||||
- "correct_index": Index der richtigen Antwort (0-basiert)
|
||||
- "explanation": Erklaerung der richtigen Antwort
|
||||
- "outro": Abschlussworte
|
||||
- "total_duration_estimate": geschaetzte Gesamtdauer in Sekunden
|
||||
|
||||
Antworte NUR mit dem JSON-Objekt.`,
|
||||
module.ModuleCode, module.Title,
|
||||
string(module.RegulationArea),
|
||||
module.Description,
|
||||
module.DurationMinutes,
|
||||
contentContext,
|
||||
)
|
||||
|
||||
resp, err := g.registry.Chat(ctx, &llm.ChatRequest{
|
||||
Messages: []llm.Message{
|
||||
{Role: "system", Content: narratorSystemPrompt},
|
||||
{Role: "user", Content: prompt},
|
||||
},
|
||||
Temperature: 0.2,
|
||||
MaxTokens: 8192,
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("LLM narrator script generation failed: %w", err)
|
||||
}
|
||||
|
||||
return parseNarratorScript(resp.Message.Content)
|
||||
}
|
||||
|
||||
// parseNarratorScript extracts a NarratorScript from LLM output
|
||||
func parseNarratorScript(content string) (*NarratorScript, error) {
|
||||
// Find JSON object in response
|
||||
start := strings.Index(content, "{")
|
||||
end := strings.LastIndex(content, "}")
|
||||
if start < 0 || end <= start {
|
||||
return nil, fmt.Errorf("no JSON object found in LLM response")
|
||||
}
|
||||
jsonStr := content[start : end+1]
|
||||
|
||||
var script NarratorScript
|
||||
if err := json.Unmarshal([]byte(jsonStr), &script); err != nil {
|
||||
return nil, fmt.Errorf("failed to parse narrator script JSON: %w", err)
|
||||
}
|
||||
|
||||
if len(script.Sections) == 0 {
|
||||
return nil, fmt.Errorf("narrator script has no sections")
|
||||
}
|
||||
|
||||
return &script, nil
|
||||
}
|
||||
|
||||
// GenerateInteractiveVideo orchestrates the full interactive video pipeline:
|
||||
// NarratorScript → TTS Audio → Slides+Video → DB Checkpoints + Quiz Questions
|
||||
func (g *ContentGenerator) GenerateInteractiveVideo(ctx context.Context, module TrainingModule) (*TrainingMedia, error) {
|
||||
if g.ttsClient == nil {
|
||||
return nil, fmt.Errorf("TTS client not configured")
|
||||
}
|
||||
|
||||
// 1. Generate NarratorScript via LLM
|
||||
script, err := g.GenerateNarratorScript(ctx, module)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("narrator script generation failed: %w", err)
|
||||
}
|
||||
|
||||
// 2. Synthesize audio per section via TTS service
|
||||
sections := make([]SectionAudio, len(script.Sections))
|
||||
for i, s := range script.Sections {
|
||||
// Combine narrator text with intro/outro for first/last section
|
||||
text := s.NarratorText
|
||||
if i == 0 && script.Intro != "" {
|
||||
text = script.Intro + "\n\n" + text
|
||||
}
|
||||
if i == len(script.Sections)-1 && script.Outro != "" {
|
||||
text = text + "\n\n" + script.Outro
|
||||
}
|
||||
sections[i] = SectionAudio{
|
||||
Text: text,
|
||||
Heading: s.Heading,
|
||||
}
|
||||
}
|
||||
|
||||
audioResp, err := g.ttsClient.SynthesizeSections(ctx, &SynthesizeSectionsRequest{
|
||||
Sections: sections,
|
||||
Voice: "de_DE-thorsten-high",
|
||||
ModuleID: module.ID.String(),
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("section audio synthesis failed: %w", err)
|
||||
}
|
||||
|
||||
// 3. Generate interactive video via TTS service
|
||||
videoResp, err := g.ttsClient.GenerateInteractiveVideo(ctx, &GenerateInteractiveVideoRequest{
|
||||
Script: script,
|
||||
Audio: audioResp,
|
||||
ModuleID: module.ID.String(),
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("interactive video generation failed: %w", err)
|
||||
}
|
||||
|
||||
// 4. Save TrainingMedia record
|
||||
scriptJSON, _ := json.Marshal(script)
|
||||
media := &TrainingMedia{
|
||||
ModuleID: module.ID,
|
||||
MediaType: MediaTypeInteractiveVideo,
|
||||
Status: MediaStatusProcessing,
|
||||
Bucket: "compliance-training-video",
|
||||
ObjectKey: fmt.Sprintf("video/%s/interactive.mp4", module.ID.String()),
|
||||
MimeType: "video/mp4",
|
||||
Language: "de",
|
||||
GeneratedBy: "tts_ffmpeg_interactive",
|
||||
Metadata: scriptJSON,
|
||||
}
|
||||
|
||||
if err := g.store.CreateMedia(ctx, media); err != nil {
|
||||
return nil, fmt.Errorf("failed to create media record: %w", err)
|
||||
}
|
||||
|
||||
// Update media with video result
|
||||
media.Status = MediaStatusCompleted
|
||||
media.FileSizeBytes = videoResp.SizeBytes
|
||||
media.DurationSeconds = videoResp.DurationSeconds
|
||||
media.ObjectKey = videoResp.ObjectKey
|
||||
media.Bucket = videoResp.Bucket
|
||||
g.store.UpdateMediaStatus(ctx, media.ID, MediaStatusCompleted, videoResp.SizeBytes, videoResp.DurationSeconds, "")
|
||||
|
||||
// Auto-publish
|
||||
g.store.PublishMedia(ctx, media.ID, true)
|
||||
|
||||
// 5. Create Checkpoints + Quiz Questions in DB
|
||||
// Clear old checkpoints first
|
||||
g.store.DeleteCheckpointsForModule(ctx, module.ID)
|
||||
|
||||
for i, section := range script.Sections {
|
||||
if section.Checkpoint == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
// Calculate timestamp from cumulative audio durations
|
||||
var timestamp float64
|
||||
if i < len(audioResp.Sections) {
|
||||
// Checkpoint timestamp = end of this section's audio
|
||||
timestamp = audioResp.Sections[i].StartTimestamp + audioResp.Sections[i].Duration
|
||||
}
|
||||
|
||||
cp := &Checkpoint{
|
||||
ModuleID: module.ID,
|
||||
CheckpointIndex: i,
|
||||
Title: section.Checkpoint.Title,
|
||||
TimestampSeconds: timestamp,
|
||||
}
|
||||
if err := g.store.CreateCheckpoint(ctx, cp); err != nil {
|
||||
return nil, fmt.Errorf("failed to create checkpoint %d: %w", i, err)
|
||||
}
|
||||
|
||||
// Save quiz questions for this checkpoint
|
||||
for j, q := range section.Checkpoint.Questions {
|
||||
question := &QuizQuestion{
|
||||
ModuleID: module.ID,
|
||||
Question: q.Question,
|
||||
Options: q.Options,
|
||||
CorrectIndex: q.CorrectIndex,
|
||||
Explanation: q.Explanation,
|
||||
Difficulty: DifficultyMedium,
|
||||
SortOrder: j,
|
||||
}
|
||||
if err := g.store.CreateCheckpointQuizQuestion(ctx, question, cp.ID); err != nil {
|
||||
return nil, fmt.Errorf("failed to create checkpoint question: %w", err)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 6. Audit log
|
||||
g.store.LogAction(ctx, &AuditLogEntry{
|
||||
TenantID: module.TenantID,
|
||||
Action: AuditAction("interactive_video_generated"),
|
||||
EntityType: AuditEntityModule,
|
||||
EntityID: &module.ID,
|
||||
Details: map[string]interface{}{
|
||||
"module_code": module.ModuleCode,
|
||||
"media_id": media.ID.String(),
|
||||
"duration_seconds": videoResp.DurationSeconds,
|
||||
"sections": len(script.Sections),
|
||||
"checkpoints": countCheckpoints(script),
|
||||
},
|
||||
})
|
||||
|
||||
return media, nil
|
||||
}
|
||||
|
||||
func countCheckpoints(script *NarratorScript) int {
|
||||
count := 0
|
||||
for _, s := range script.Sections {
|
||||
if s.Checkpoint != nil {
|
||||
count++
|
||||
}
|
||||
}
|
||||
return count
|
||||
}
|
||||
Reference in New Issue
Block a user