d4b7943d54
Library Extensions: - 15 new components (C121-C135): knee lever, hydraulic ram, lubrication system, extraction system, vibrating plate, die tooling, transfer system, hoist, chute, oil drip tray, pressure relief valve, die space, flywheel, bin changeover station, inspection scale - 8 new tags: person_under_load, two_hand_control_required, thermal_accumulation, mechanical_transmission, oil_mist_risk, rapid_energy_release, gravity_suspended_load, bypass_risk - 14 new patterns (HP045-HP058): ram drop, die space crushing, oil mist inhalation, hot workpiece burns, suspended load, transfer draw-in, ejection fall, accumulator pressure release, impact noise, flywheel residual energy, guard bypass, two-hand misoperation, oil leakage, ergonomic bin changeover Deterministic Parser (NO LLM): - keyword_dictionary.go: ~100 entries mapping DE/EN keywords to component IDs, energy source IDs, and tags - narrative_parser.go: ParseNarrative() extracts components, energy sources, lifecycle phases, roles, tech specs, and context tags from free-text machine descriptions via keyword matching + regex - Tech spec regex: extracts kN, V, °C, bar, kW, rpm values and derives energy sources + severity tags automatically - iace_handler_parser.go: POST /projects/:id/parse-narrative endpoint chains parser → pattern engine → hazard suggestions Test: Paste Kniehebelpresse description → should detect 10+ components, 15+ hazards, all deterministically without LLM. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
280 lines
8.4 KiB
Go
280 lines
8.4 KiB
Go
package iace
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import (
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"regexp"
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"strconv"
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"strings"
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)
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// ComponentMatch represents a component detected from narrative text.
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type ComponentMatch struct {
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LibraryID string `json:"library_id"`
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NameDE string `json:"name_de"`
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MatchedOn string `json:"matched_on"` // The keyword that triggered the match
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Tags []string `json:"tags"`
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Confidence float64 `json:"confidence"`
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}
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// EnergyMatch represents an energy source detected from narrative text.
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type EnergyMatch struct {
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SourceID string `json:"source_id"`
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NameDE string `json:"name_de"`
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MatchedOn string `json:"matched_on"`
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Value string `json:"value,omitempty"` // e.g., "20000 kN", "400 V"
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Severity int `json:"severity"` // Derived severity 1-5
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}
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// TechSpec represents an extracted technical specification.
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type TechSpec struct {
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Value float64 `json:"value"`
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Unit string `json:"unit"`
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Raw string `json:"raw"`
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}
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// ParseResult contains all entities extracted from a machine narrative.
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type ParseResult struct {
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Components []ComponentMatch `json:"components"`
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EnergySources []EnergyMatch `json:"energy_sources"`
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LifecyclePhases []string `json:"lifecycle_phases"`
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Roles []string `json:"roles"`
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CustomTags []string `json:"custom_tags"`
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TechSpecs []TechSpec `json:"tech_specs"`
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Confidence float64 `json:"confidence"`
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}
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// techSpecPattern matches numeric values with engineering units.
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var techSpecPattern = regexp.MustCompile(`(\d[\d.,]*)\s*(kN|Tonnen|tonnen|kJ|kW|MW|V|kV|Hz|°C|bar|mm|m³/h|/min|U/min|rpm|m/s)`)
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// lifecycleKeywords maps German text patterns to lifecycle phase IDs.
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var lifecycleKeywords = map[string]string{
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"betrieb": "normal_operation",
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"normalbetrieb": "normal_operation",
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"automatikbetrieb":"auto_operation",
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"einricht": "setup",
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"umruest": "changeover",
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"wartung": "maintenance",
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"instandhalt": "maintenance",
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"instandsetz": "repair",
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"reinig": "cleaning",
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"transport": "transport",
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"montage": "assembly",
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"inbetriebnahme": "commissioning",
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"ausserbetriebnahme": "decommissioning",
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"demontage": "disposal",
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"reparatur": "repair",
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"stoerungsbeseitig":"fault_clearing",
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}
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// roleKeywords maps German text patterns to role IDs.
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var roleKeywords = map[string]string{
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"bedienpersonal": "operator",
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"bediener": "operator",
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"werker": "operator",
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"einrichter": "setup_personnel",
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"instandhalt": "maintenance_tech",
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"wartungspersonal": "maintenance_tech",
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"elektrofachkraft":"electrical_tech",
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"besucher": "visitor",
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"fremdfirma": "contractor",
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"reinigungspersonal": "cleaning_staff",
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"aufsichtsperson": "supervisor",
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"programmierer": "programmer",
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"auszubildend": "trainee",
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"leiharbeiter": "temp_worker",
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}
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// ParseNarrative extracts components, energy sources, lifecycle phases,
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// roles, and tags from a machine description text. Fully deterministic,
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// no LLM required.
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func ParseNarrative(text string) ParseResult {
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result := ParseResult{}
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if text == "" {
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return result
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}
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// Normalize text
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lower := strings.ToLower(text)
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lower = strings.ReplaceAll(lower, "ä", "ae")
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lower = strings.ReplaceAll(lower, "ö", "oe")
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lower = strings.ReplaceAll(lower, "ü", "ue")
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lower = strings.ReplaceAll(lower, "ß", "ss")
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// 1. Extract technical specifications
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result.TechSpecs = extractTechSpecs(text)
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// 2. Match keywords → components + energy + tags
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dictionary := GetKeywordDictionary()
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compLib := GetComponentLibrary()
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compMap := make(map[string]ComponentLibraryEntry)
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for _, c := range compLib {
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compMap[c.ID] = c
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}
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seenComponents := make(map[string]bool)
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seenEnergy := make(map[string]bool)
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tagSet := make(map[string]bool)
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for _, entry := range dictionary {
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for _, kw := range entry.Keywords {
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kwNorm := strings.ToLower(kw)
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kwNorm = strings.ReplaceAll(kwNorm, "ä", "ae")
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kwNorm = strings.ReplaceAll(kwNorm, "ö", "oe")
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kwNorm = strings.ReplaceAll(kwNorm, "ü", "ue")
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kwNorm = strings.ReplaceAll(kwNorm, "ß", "ss")
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if strings.Contains(lower, kwNorm) {
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// Add components
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for _, cid := range entry.ComponentIDs {
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if !seenComponents[cid] {
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seenComponents[cid] = true
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comp := compMap[cid]
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result.Components = append(result.Components, ComponentMatch{
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LibraryID: cid,
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NameDE: comp.NameDE,
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MatchedOn: kw,
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Tags: comp.Tags,
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Confidence: 0.8,
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})
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// Add component tags
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for _, t := range comp.Tags {
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tagSet[t] = true
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}
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}
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}
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// Add energy sources
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for _, eid := range entry.EnergyIDs {
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if !seenEnergy[eid] {
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seenEnergy[eid] = true
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result.EnergySources = append(result.EnergySources, EnergyMatch{
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SourceID: eid,
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NameDE: eid, // Will be enriched by caller
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MatchedOn: kw,
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})
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}
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}
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// Add extra tags
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for _, t := range entry.ExtraTags {
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tagSet[t] = true
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}
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break // First keyword match is enough per entry
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}
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}
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}
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// 3. Derive energy from tech specs
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for _, spec := range result.TechSpecs {
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deriveEnergyFromSpec(spec, &result, seenEnergy, tagSet)
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}
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// 4. Extract lifecycle phases
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phaseSet := make(map[string]bool)
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for kw, phase := range lifecycleKeywords {
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kwNorm := strings.ReplaceAll(kw, "ä", "ae")
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kwNorm = strings.ReplaceAll(kwNorm, "ö", "oe")
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kwNorm = strings.ReplaceAll(kwNorm, "ü", "ue")
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if strings.Contains(lower, kwNorm) {
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if !phaseSet[phase] {
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phaseSet[phase] = true
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result.LifecyclePhases = append(result.LifecyclePhases, phase)
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}
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}
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}
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// 5. Extract roles
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roleSet := make(map[string]bool)
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for kw, role := range roleKeywords {
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if strings.Contains(lower, kw) {
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if !roleSet[role] {
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roleSet[role] = true
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result.Roles = append(result.Roles, role)
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}
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}
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}
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// 6. Collect all tags
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for t := range tagSet {
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result.CustomTags = append(result.CustomTags, t)
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}
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// 7. Calculate overall confidence
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if len(result.Components) > 0 {
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result.Confidence = float64(len(result.Components)) / 15.0 // Normalize to ~1.0 for 15 components
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if result.Confidence > 1.0 {
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result.Confidence = 1.0
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}
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}
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return result
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}
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// extractTechSpecs finds numeric values with engineering units in the text.
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func extractTechSpecs(text string) []TechSpec {
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matches := techSpecPattern.FindAllStringSubmatch(text, -1)
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var specs []TechSpec
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for _, m := range matches {
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valStr := strings.ReplaceAll(m[1], ".", "")
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valStr = strings.ReplaceAll(valStr, ",", ".")
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val, err := strconv.ParseFloat(valStr, 64)
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if err != nil {
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continue
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}
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specs = append(specs, TechSpec{
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Value: val,
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Unit: m[2],
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Raw: m[0],
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})
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}
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return specs
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}
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// deriveEnergyFromSpec maps technical values to energy sources and severity tags.
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func deriveEnergyFromSpec(spec TechSpec, result *ParseResult, seen map[string]bool, tags map[string]bool) {
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switch {
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case (spec.Unit == "kN" || spec.Unit == "Tonnen" || spec.Unit == "tonnen") && spec.Value > 100:
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addEnergy(result, seen, "EN01", spec.Raw)
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tags["high_force"] = true
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if spec.Value > 1000 {
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tags["crush_point"] = true
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}
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case (spec.Unit == "V" || spec.Unit == "kV"):
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if spec.Value >= 400 || spec.Unit == "kV" {
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addEnergy(result, seen, "EN05", spec.Raw)
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tags["high_voltage"] = true
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} else if spec.Value >= 50 {
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addEnergy(result, seen, "EN05", spec.Raw)
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tags["electrical_part"] = true
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}
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case spec.Unit == "°C" && spec.Value > 60:
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addEnergy(result, seen, "EN06", spec.Raw)
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tags["high_temperature"] = true
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if spec.Value > 100 {
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tags["thermal_accumulation"] = true
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}
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case spec.Unit == "bar" && spec.Value > 10:
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addEnergy(result, seen, "EN07", spec.Raw)
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tags["high_pressure"] = true
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case (spec.Unit == "kW" || spec.Unit == "MW") && spec.Value > 1:
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addEnergy(result, seen, "EN02", spec.Raw)
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tags["rotating_part"] = true
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case (spec.Unit == "/min" || spec.Unit == "U/min" || spec.Unit == "rpm") && spec.Value > 100:
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addEnergy(result, seen, "EN02", spec.Raw)
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tags["rotating_part"] = true
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if spec.Value > 500 {
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tags["high_speed"] = true
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}
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case spec.Unit == "kJ" && spec.Value > 10:
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addEnergy(result, seen, "EN03", spec.Raw)
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tags["stored_energy"] = true
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}
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}
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func addEnergy(result *ParseResult, seen map[string]bool, id, matchedOn string) {
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if !seen[id] {
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seen[id] = true
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result.EnergySources = append(result.EnergySources, EnergyMatch{
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SourceID: id,
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MatchedOn: matchedOn,
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})
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}
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}
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