feat(iace): Einsatzbereich / Branche — filtert branchenspezifische Patterns
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Neues Feld "Einsatzbereich" auf Interview-Seite (Sektion 7) mit 15 Branchen.
Pattern Engine bekommt MachineTypes aus MatchInput → branchenfremde Patterns
(Medizin, Aufzug, Bau etc.) feuern nur wenn die Branche ausgewählt ist.

Refactoring: iace_handler_init.go aufgeteilt in init + init_helpers (LOC-Limit).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-05-12 09:09:28 +02:00
parent 134b7e7709
commit f5664612ad
5 changed files with 308 additions and 201 deletions
@@ -7,6 +7,7 @@ import {
AREA_OF_USE_OPTIONS,
OPERATING_MODE_OPTIONS,
PERSON_GROUP_OPTIONS,
INDUSTRY_SECTOR_OPTIONS,
type LimitsFormData,
} from '../_types'
@@ -204,6 +205,22 @@ export function LimitsFormSections({ data, onChange, prefilled }: LimitsFormSect
rows={4}
/>
</SectionCard>
{/* Section 7: Einsatzbereich / Branche */}
<SectionCard section={FORM_SECTIONS[6]}>
<div className="bg-blue-50 dark:bg-blue-900/20 border border-blue-200 dark:border-blue-800 rounded-lg p-3 mb-2">
<p className="text-xs text-blue-700 dark:text-blue-300">
Die Branchenauswahl steuert welche branchenspezifischen Gefaehrdungsmuster (z.B. Medizintechnik, Lebensmittel, Aufzuege) bei der Risikoanalyse beruecksichtigt werden. Branchenfremde Muster werden automatisch ausgeblendet.
</p>
</div>
<CheckboxGroup
label="Einsatzbereiche"
values={data.industry_sectors}
onChange={(v) => onChange('industry_sectors', v)}
options={INDUSTRY_SECTOR_OPTIONS}
helpText="Waehlen Sie alle zutreffenden Branchen. Bei Mehrfachauswahl werden alle relevanten Gefaehrdungen beruecksichtigt."
/>
</SectionCard>
</div>
)
}
@@ -35,6 +35,9 @@ export interface LimitsFormData {
// Section 6: Betroffene Personen
person_groups: string[]
qualification_requirements: string
// Section 7: Einsatzbereich / Branche (fuer Pattern-Filterung)
industry_sectors: string[]
}
export const EMPTY_LIMITS_FORM: LimitsFormData = {
@@ -59,6 +62,7 @@ export const EMPTY_LIMITS_FORM: LimitsFormData = {
pneumatic_hydraulic_interfaces: '',
person_groups: [],
qualification_requirements: '',
industry_sectors: [],
}
export const AREA_OF_USE_OPTIONS = [
@@ -77,6 +81,43 @@ export const OPERATING_MODE_OPTIONS = [
'Wartung',
]
export const INDUSTRY_SECTOR_OPTIONS = [
'Allgemeiner Maschinenbau',
'Automobil / Zulieferer',
'Robotik / Cobot',
'Medizintechnik',
'Lebensmittel / Getraenke',
'Verpackung',
'Pharma / Chemie',
'Bau / Baumaschinen',
'Forst / Holzbearbeitung',
'Aufzuege / Foerdertechnik',
'Textil',
'Landmaschinen',
'Druck / Papier',
'Metall / CNC',
'Schweissen / Oberflaechentechnik',
]
/** Maps display labels to MachineTypes for pattern engine filtering */
export const INDUSTRY_TO_MACHINE_TYPES: Record<string, string[]> = {
'Allgemeiner Maschinenbau': ['general_industry'],
'Automobil / Zulieferer': ['automotive'],
'Robotik / Cobot': ['robotics_cobot', 'cobot'],
'Medizintechnik': ['medical_device', 'infusion_pump', 'ventilator', 'patient_monitor'],
'Lebensmittel / Getraenke': ['food_processing'],
'Verpackung': ['packaging'],
'Pharma / Chemie': ['chemical', 'pharmaceutical'],
'Bau / Baumaschinen': ['construction', 'crane', 'excavator'],
'Forst / Holzbearbeitung': ['forestry', 'woodworking', 'circular_saw'],
'Aufzuege / Foerdertechnik': ['elevator', 'lift', 'escalator', 'conveyor'],
'Textil': ['textile', 'spinning', 'weaving', 'finishing'],
'Landmaschinen': ['agricultural', 'tractor', 'harvester'],
'Druck / Papier': ['printing'],
'Metall / CNC': ['cnc', 'metalworking', 'lathe', 'milling'],
'Schweissen / Oberflaechentechnik': ['welding', 'surface_treatment'],
}
export const PERSON_GROUP_OPTIONS = [
'Bedienpersonal',
'Einrichter',
@@ -93,7 +134,7 @@ export interface FormSection {
number: number
title: string
description: string
icon: 'clipboard' | 'target' | 'alert' | 'box' | 'link' | 'users'
icon: 'clipboard' | 'target' | 'alert' | 'box' | 'link' | 'users' | 'briefcase'
}
export const FORM_SECTIONS: FormSection[] = [
@@ -139,4 +180,11 @@ export const FORM_SECTIONS: FormSection[] = [
description: 'Personengruppen und Qualifikationsanforderungen',
icon: 'users',
},
{
id: 'industry_sector',
number: 7,
title: 'Einsatzbereich / Branche',
description: 'Branche bestimmt welche branchenspezifischen Gefaehrdungen beruecksichtigt werden',
icon: 'briefcase',
},
]
@@ -1,7 +1,6 @@
package handlers
import (
"encoding/json"
"fmt"
"net/http"
@@ -89,7 +88,6 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
if len(existingComps) == 0 && len(parseResult.Components) > 0 {
created := 0
for _, comp := range parseResult.Components {
// Derive component type from tags
compType := deriveComponentType(comp.Tags)
_, cerr := h.store.CreateComponent(ctx, iace.CreateComponentRequest{
ProjectID: projectID,
@@ -117,9 +115,8 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
energyIDs = append(energyIDs, e.SourceID)
}
// Merge explicit operational_states from UI with parsed states from narrative
operationalStates := mergeStringSlices(parseResult.OperationalStates, extractOperationalStatesFromMetadata(project.Metadata))
stateTransitions := parseResult.StateTransitions
machineTypes := extractIndustrySectorsFromMetadata(project.Metadata)
engine := iace.NewPatternEngine()
matchOutput := engine.Match(iace.MatchInput{
@@ -128,8 +125,9 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
LifecyclePhases: parseResult.LifecyclePhases,
CustomTags: parseResult.CustomTags,
OperationalStates: operationalStates,
StateTransitions: stateTransitions,
StateTransitions: parseResult.StateTransitions,
HumanRoles: parseResult.Roles,
MachineTypes: machineTypes,
})
steps = append(steps, InitStep{
Name: "Patterns abgeglichen",
@@ -143,14 +141,12 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
hazardIDsByCategory := make(map[string]uuid.UUID)
if len(existingHazards) == 0 && len(matchOutput.MatchedPatterns) > 0 {
// Get first component for hazard assignment
comps, _ := h.store.ListComponents(ctx, projectID)
var defaultCompID uuid.UUID
if len(comps) > 0 {
defaultCompID = comps[0].ID
}
// Deduplicate by category — one hazard per category
created := 0
seenCat := make(map[string]bool)
for _, mp := range matchOutput.MatchedPatterns {
@@ -164,18 +160,13 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
if name == "" {
name = cat
}
scenario := mp.ScenarioDE
hazardType := mp.GeneratedHazardType
if hazardType == "" {
hazardType = iace.DefaultHazardType
}
hz, cerr := h.store.CreateHazard(ctx, iace.CreateHazardRequest{
ProjectID: projectID,
ComponentID: defaultCompID,
Name: name,
Description: scenario,
Description: mp.ScenarioDE,
Category: cat,
Scenario: scenario,
Scenario: mp.ScenarioDE,
Function: iace.EncodeOpStates(mp.OperationalStates),
TriggerEvent: mp.TriggerDE,
PossibleHarm: mp.HarmDE,
@@ -198,7 +189,7 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
}
steps = append(steps, hazardStep)
// ── Step 6: Create mitigations (pattern-suggested + category fallback) ──
// ── Step 6: Create mitigations ──
existingMits, _ := h.store.ListMitigationsByProject(ctx, projectID)
mitStep := InitStep{Name: "Massnahmen erstellt", Status: "skipped"}
@@ -214,7 +205,6 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
created := 0
usedMeasureIDs := make(map[string]bool)
// A) Pattern-suggested measures (direct reference)
for _, sm := range matchOutput.SuggestedMeasures {
entry, ok := measureByID[sm.MeasureID]
if !ok || usedMeasureIDs[sm.MeasureID] {
@@ -229,10 +219,8 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
rt = iace.ReductionTypeInformation
}
_, cerr := h.store.CreateMitigation(ctx, iace.CreateMitigationRequest{
HazardID: hazardID,
ReductionType: rt,
Name: entry.Name,
Description: entry.Description,
HazardID: hazardID, ReductionType: rt,
Name: entry.Name, Description: entry.Description,
})
if cerr == nil {
created++
@@ -240,13 +228,10 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
}
}
// B) Category fallback — for each hazard category, add measures
// from the library that match (but weren't pattern-suggested)
for hazCat, hazID := range hazardIDsByCategory {
measCat := patternCatToMeasureCat(hazCat)
candidates := measuresByCat[measCat]
added := 0
for _, m := range candidates {
for _, m := range measuresByCat[measCat] {
if usedMeasureIDs[m.ID] || added >= 8 {
break
}
@@ -255,10 +240,8 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
rt = iace.ReductionTypeInformation
}
_, cerr := h.store.CreateMitigation(ctx, iace.CreateMitigationRequest{
HazardID: hazID,
ReductionType: rt,
Name: m.Name,
Description: m.Description,
HazardID: hazID, ReductionType: rt,
Name: m.Name, Description: m.Description,
})
if cerr == nil {
created++
@@ -267,7 +250,6 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
}
}
}
mitStep = InitStep{Name: "Massnahmen erstellt", Status: "done", Count: created}
} else if len(existingMits) > 0 {
mitStep.Details = "Bereits vorhanden"
@@ -285,11 +267,7 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
if normResult != nil {
normCount = len(normResult.ANorms) + len(normResult.B1Norms) + len(normResult.B2Norms) + len(normResult.CNorms)
}
steps = append(steps, InitStep{
Name: "Normen vorgeschlagen",
Status: "done",
Count: normCount,
})
steps = append(steps, InitStep{Name: "Normen vorgeschlagen", Status: "done", Count: normCount})
// ── Audit trail ──
h.store.AddAuditEntry(ctx, projectID, "project_initialization", projectID,
@@ -301,172 +279,9 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
"project_id": projectID.String(),
"steps": steps,
"summary": gin.H{
"components": steps[1].Count,
"patterns": steps[2].Count,
"hazards": steps[3].Count,
"mitigations": steps[4].Count,
"norms": steps[5].Count,
"components": steps[1].Count, "patterns": steps[2].Count,
"hazards": steps[3].Count, "mitigations": steps[4].Count,
"norms": steps[5].Count,
},
})
}
// extractNarrativeFromMetadata builds a combined text from the limits_form.
func extractNarrativeFromMetadata(metadata json.RawMessage) string {
if metadata == nil {
return ""
}
var meta map[string]json.RawMessage
if err := json.Unmarshal(metadata, &meta); err != nil {
return ""
}
limitsRaw, ok := meta["limits_form"]
if !ok {
return ""
}
var limits map[string]interface{}
if err := json.Unmarshal(limitsRaw, &limits); err != nil {
return ""
}
textFields := []string{
"general_description", "intended_purpose", "foreseeable_misuse",
"space_limits", "time_limits", "environmental_conditions",
"energy_sources", "materials_processed", "operating_modes",
"maintenance_requirements", "personnel_requirements",
"interfaces_description", "control_system_description",
"safety_functions_description",
}
var result string
for _, field := range textFields {
if v, ok := limits[field]; ok {
if s, ok := v.(string); ok && s != "" {
result += s + "\n\n"
}
}
}
return result
}
// patternCatToMeasureCat maps pattern hazard categories to measure categories.
// Patterns use "mechanical_hazard", measures use "mechanical".
func patternCatToMeasureCat(patternCat string) string {
m := map[string]string{
"mechanical_hazard": "mechanical",
"electrical_hazard": "electrical",
"thermal_hazard": "thermal",
"noise_vibration": "noise_vibration",
"pneumatic_hydraulic": "pneumatic_hydraulic",
"material_environmental": "material_environmental",
"ergonomic": "ergonomic",
"ergonomic_hazard": "ergonomic",
"software_fault": "software_control",
"safety_function_failure": "safety_function",
"fire_explosion": "thermal",
"radiation_hazard": "material_environmental",
"unauthorized_access": "cyber_network",
"communication_failure": "cyber_network",
"firmware_corruption": "cyber_network",
"logging_audit_failure": "cyber_network",
"ai_misclassification": "ai_specific",
"false_classification": "ai_specific",
"model_drift": "ai_specific",
"data_poisoning": "ai_specific",
"sensor_spoofing": "ai_specific",
"unintended_bias": "ai_specific",
"sensor_fault": "software_control",
"configuration_error": "software_control",
"update_failure": "software_control",
"hmi_error": "software_control",
"emc_hazard": "electrical",
"maintenance_hazard": "mechanical",
"mode_confusion": "software_control",
}
if cat, ok := m[patternCat]; ok {
return cat
}
return "general"
}
// deriveComponentType guesses the component type from its tags.
func deriveComponentType(tags []string) iace.ComponentType {
for _, t := range tags {
switch {
case t == "software" || t == "has_software":
return iace.ComponentTypeSoftware
case t == "firmware" || t == "has_firmware":
return iace.ComponentTypeFirmware
case t == "has_ai" || t == "ai_model":
return iace.ComponentTypeAIModel
case t == "hmi" || t == "display" || t == "touchscreen":
return iace.ComponentTypeHMI
case t == "sensor" || t == "camera":
return iace.ComponentTypeSensor
case t == "electric_motor" || t == "electric_drive":
return iace.ComponentTypeElectrical
case t == "networked" || t == "ethernet" || t == "wifi":
return iace.ComponentTypeNetwork
case t == "hydraulic" || t == "pneumatic":
return iace.ComponentTypeActuator
}
}
return iace.ComponentTypeMechanical
}
// extractOperationalStatesFromMetadata reads the explicit operational_states
// selection that the user set via the Betriebszustand-UI.
func extractOperationalStatesFromMetadata(metadata json.RawMessage) []string {
if metadata == nil {
return nil
}
var meta map[string]json.RawMessage
if err := json.Unmarshal(metadata, &meta); err != nil {
return nil
}
raw, ok := meta["operational_states"]
if !ok {
return nil
}
var states []string
if err := json.Unmarshal(raw, &states); err != nil {
return nil
}
return states
}
// mergeStringSlices merges two string slices, deduplicating entries.
func mergeStringSlices(a, b []string) []string {
seen := make(map[string]bool, len(a)+len(b))
var result []string
for _, s := range a {
if !seen[s] {
seen[s] = true
result = append(result, s)
}
}
for _, s := range b {
if !seen[s] {
seen[s] = true
result = append(result, s)
}
}
return result
}
// findHazardForMeasureByCategory finds a matching hazard for a measure.
func findHazardForMeasureByCategory(measureCat string, hazardsByCategory map[string]uuid.UUID) uuid.UUID {
// Direct match
if id, ok := hazardsByCategory[measureCat]; ok {
return id
}
// Fuzzy match — "mechanical" matches "mechanical_hazard"
for cat, id := range hazardsByCategory {
if len(measureCat) > 3 && len(cat) > 3 && cat[:4] == measureCat[:4] {
return id
}
}
// Fallback: first hazard
for _, id := range hazardsByCategory {
return id
}
return uuid.Nil
}
@@ -0,0 +1,207 @@
package handlers
import (
"encoding/json"
"github.com/breakpilot/ai-compliance-sdk/internal/iace"
"github.com/google/uuid"
)
// extractNarrativeFromMetadata builds a combined text from the limits_form.
func extractNarrativeFromMetadata(metadata json.RawMessage) string {
if metadata == nil {
return ""
}
var meta map[string]json.RawMessage
if err := json.Unmarshal(metadata, &meta); err != nil {
return ""
}
limitsRaw, ok := meta["limits_form"]
if !ok {
return ""
}
var limits map[string]interface{}
if err := json.Unmarshal(limitsRaw, &limits); err != nil {
return ""
}
textFields := []string{
"general_description", "intended_purpose", "foreseeable_misuse",
"space_limits", "time_limits", "environmental_conditions",
"energy_sources", "materials_processed", "operating_modes",
"maintenance_requirements", "personnel_requirements",
"interfaces_description", "control_system_description",
"safety_functions_description",
}
var result string
for _, field := range textFields {
if v, ok := limits[field]; ok {
if s, ok := v.(string); ok && s != "" {
result += s + "\n\n"
}
}
}
return result
}
// patternCatToMeasureCat maps pattern hazard categories to measure categories.
func patternCatToMeasureCat(patternCat string) string {
m := map[string]string{
"mechanical_hazard": "mechanical", "electrical_hazard": "electrical",
"thermal_hazard": "thermal", "noise_vibration": "noise_vibration",
"pneumatic_hydraulic": "pneumatic_hydraulic", "material_environmental": "material_environmental",
"ergonomic": "ergonomic", "ergonomic_hazard": "ergonomic",
"software_fault": "software_control", "safety_function_failure": "safety_function",
"fire_explosion": "thermal", "radiation_hazard": "material_environmental",
"unauthorized_access": "cyber_network", "communication_failure": "cyber_network",
"firmware_corruption": "cyber_network", "logging_audit_failure": "cyber_network",
"ai_misclassification": "ai_specific", "false_classification": "ai_specific",
"model_drift": "ai_specific", "data_poisoning": "ai_specific",
"sensor_spoofing": "ai_specific", "unintended_bias": "ai_specific",
"sensor_fault": "software_control", "configuration_error": "software_control",
"update_failure": "software_control", "hmi_error": "software_control",
"emc_hazard": "electrical", "maintenance_hazard": "mechanical",
"mode_confusion": "software_control", "chemical_risk": "material_environmental",
}
if cat, ok := m[patternCat]; ok {
return cat
}
return "general"
}
// deriveComponentType guesses the component type from its tags.
func deriveComponentType(tags []string) iace.ComponentType {
for _, t := range tags {
switch {
case t == "software" || t == "has_software":
return iace.ComponentTypeSoftware
case t == "firmware" || t == "has_firmware":
return iace.ComponentTypeFirmware
case t == "has_ai" || t == "ai_model":
return iace.ComponentTypeAIModel
case t == "hmi" || t == "display" || t == "touchscreen":
return iace.ComponentTypeHMI
case t == "sensor" || t == "camera":
return iace.ComponentTypeSensor
case t == "electric_motor" || t == "electric_drive":
return iace.ComponentTypeElectrical
case t == "networked" || t == "ethernet" || t == "wifi":
return iace.ComponentTypeNetwork
case t == "hydraulic" || t == "pneumatic":
return iace.ComponentTypeActuator
}
}
return iace.ComponentTypeMechanical
}
// extractOperationalStatesFromMetadata reads the explicit operational_states
// selection that the user set via the Betriebszustand-UI.
func extractOperationalStatesFromMetadata(metadata json.RawMessage) []string {
if metadata == nil {
return nil
}
var meta map[string]json.RawMessage
if err := json.Unmarshal(metadata, &meta); err != nil {
return nil
}
raw, ok := meta["operational_states"]
if !ok {
return nil
}
var states []string
if err := json.Unmarshal(raw, &states); err != nil {
return nil
}
return states
}
// mergeStringSlices merges two string slices, deduplicating entries.
func mergeStringSlices(a, b []string) []string {
seen := make(map[string]bool, len(a)+len(b))
var result []string
for _, s := range a {
if !seen[s] {
seen[s] = true
result = append(result, s)
}
}
for _, s := range b {
if !seen[s] {
seen[s] = true
result = append(result, s)
}
}
return result
}
// extractIndustrySectorsFromMetadata reads the industry_sectors selection
// from project metadata and maps them to MachineTypes for pattern filtering.
func extractIndustrySectorsFromMetadata(metadata json.RawMessage) []string {
if metadata == nil {
return nil
}
var meta map[string]json.RawMessage
if err := json.Unmarshal(metadata, &meta); err != nil {
return nil
}
limitsRaw, ok := meta["limits_form"]
if !ok {
return nil
}
var limits map[string]json.RawMessage
if err := json.Unmarshal(limitsRaw, &limits); err != nil {
return nil
}
sectorsRaw, ok := limits["industry_sectors"]
if !ok {
return nil
}
var sectors []string
if err := json.Unmarshal(sectorsRaw, &sectors); err != nil {
return nil
}
labelMap := map[string][]string{
"Allgemeiner Maschinenbau": {"general_industry"},
"Automobil / Zulieferer": {"automotive"},
"Robotik / Cobot": {"robotics_cobot", "cobot"},
"Medizintechnik": {"medical_device", "infusion_pump", "ventilator", "patient_monitor"},
"Lebensmittel / Getraenke": {"food_processing"},
"Verpackung": {"packaging"},
"Pharma / Chemie": {"chemical", "pharmaceutical"},
"Bau / Baumaschinen": {"construction", "crane", "excavator"},
"Forst / Holzbearbeitung": {"forestry", "woodworking", "circular_saw"},
"Aufzuege / Foerdertechnik": {"elevator", "lift", "escalator", "conveyor"},
"Textil": {"textile", "spinning", "weaving", "finishing"},
"Landmaschinen": {"agricultural", "tractor", "harvester"},
"Druck / Papier": {"printing"},
"Metall / CNC": {"cnc", "metalworking", "lathe", "milling"},
"Schweissen / Oberflaechentechnik": {"welding", "surface_treatment"},
}
var result []string
seen := make(map[string]bool)
for _, sector := range sectors {
for _, mt := range labelMap[sector] {
if !seen[mt] {
seen[mt] = true
result = append(result, mt)
}
}
}
return result
}
// findHazardForMeasureByCategory finds a matching hazard for a measure.
func findHazardForMeasureByCategory(measureCat string, hazardsByCategory map[string]uuid.UUID) uuid.UUID {
if id, ok := hazardsByCategory[measureCat]; ok {
return id
}
for cat, id := range hazardsByCategory {
if len(measureCat) > 3 && len(cat) > 3 && cat[:4] == measureCat[:4] {
return id
}
}
for _, id := range hazardsByCategory {
return id
}
return uuid.Nil
}
@@ -20,6 +20,10 @@ type MatchInput struct {
// FailureModes are the active failure mode IDs relevant for this project.
// Used to filter patterns that require specific failure modes.
FailureModes []string `json:"failure_modes,omitempty"`
// MachineTypes are the industry sectors / machine types for this project.
// Patterns with MachineTypes filter only fire if at least one matches.
// Empty = all patterns fire (backwards compatible).
MachineTypes []string `json:"machine_types,omitempty"`
}
// MatchOutput contains the results of pattern matching.
@@ -317,6 +321,22 @@ func (e *PatternEngine) Match(input MatchInput) *MatchOutput {
// patternMatches checks if a pattern fires given the resolved tag set, lifecycle phases,
// operational states, and state transitions.
func patternMatches(p HazardPattern, tagSet map[string]bool, input MatchInput) bool {
// If pattern requires specific machine types, project must match at least one.
// Patterns without MachineTypes fire for ALL projects (backwards compatible).
if len(p.MachineTypes) > 0 && len(input.MachineTypes) > 0 {
found := false
mtSet := toSet(input.MachineTypes)
for _, mt := range p.MachineTypes {
if mtSet[mt] {
found = true
break
}
}
if !found {
return false
}
}
// All required component tags must be present (AND)
for _, t := range p.RequiredComponentTags {
if !tagSet[t] {