feat: Compliance Maximizer — Regulatory Optimization Engine
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Neues Modul das den regulatorischen Spielraum fuer KI-Use-Cases deterministisch berechnet und optimale Konfigurationen vorschlaegt. Kernfeatures: - 13-Dimensionen Constraint-Space (DSGVO + AI Act) - 3-Zonen-Analyse: Verboten / Eingeschraenkt / Erlaubt - Deterministische Optimizer-Engine (kein LLM im Kern) - 28 Constraint-Regeln aus DSGVO, AI Act, EDPB Guidelines - 28 Tests (Golden Suite + Meta-Tests) - REST API: /sdk/v1/maximizer/* (9 Endpoints) - Frontend: 3-Zonen-Visualisierung, Dimension-Form, Score-Gauges [migration-approved] Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -26,6 +26,7 @@ func registerRoutes(
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trainingHandlers *handlers.TrainingHandlers,
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whistleblowerHandlers *handlers.WhistleblowerHandlers,
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iaceHandler *handlers.IACEHandler,
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maximizerHandlers *handlers.MaximizerHandlers,
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) {
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v1 := router.Group("/sdk/v1")
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{
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@@ -46,6 +47,7 @@ func registerRoutes(
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registerTrainingRoutes(v1, trainingHandlers)
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registerWhistleblowerRoutes(v1, whistleblowerHandlers)
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registerIACERoutes(v1, iaceHandler)
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registerMaximizerRoutes(v1, maximizerHandlers)
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}
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}
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@@ -407,3 +409,17 @@ func registerIACERoutes(v1 *gin.RouterGroup, h *handlers.IACEHandler) {
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iaceRoutes.POST("/projects/:id/tech-file/:section/enrich", h.EnrichTechFileSection)
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}
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}
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func registerMaximizerRoutes(v1 *gin.RouterGroup, h *handlers.MaximizerHandlers) {
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m := v1.Group("/maximizer")
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{
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m.POST("/optimize", h.Optimize)
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m.POST("/optimize-from-intake", h.OptimizeFromIntake)
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m.POST("/optimize-from-assessment/:id", h.OptimizeFromAssessment)
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m.POST("/evaluate", h.Evaluate)
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m.GET("/optimizations", h.ListOptimizations)
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m.GET("/optimizations/:id", h.GetOptimization)
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m.DELETE("/optimizations/:id", h.DeleteOptimization)
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m.GET("/dimensions", h.GetDimensionSchema)
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}
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}
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