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- Added GLOBAL_MARKETS_TITLE to all translation files - Updated footer with 12 markets (4 active + 8 upcoming) - Translated market section to: zh-cn, zh-tw, ja, ko, th, vi, id, ms, hi - Built and deployed to production - CloudFront invalidation: I3RTMXVFDJXWLG3SYX208OP1CC
541 lines
13 KiB
Markdown
541 lines
13 KiB
Markdown
# VIMS - Utförlig Testrapport
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**Datum:** 2026-07-08
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**Version:** 1.0.0
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**Tester:** 31 passerade av 31
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**Total täckning:** 79.12% lines
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**Miljö:** Node.js v24.16.0, Linux 6.18.30 (arm64)
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---
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## Sammanfattning
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| Kategori | Resultat | Täckning |
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|----------|----------|----------|
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| Risk Classifier | ✅ 18/18 tester | 97.72% statements |
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| Object Detection | ✅ 6/6 tester | 67.39% statements |
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| Integration | ✅ 7/7 tester | - |
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| **Totalt** | **✅ 31/31 tester** | **79.12% lines** |
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---
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## 1. Risk Classifier Service (18 tester)
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### 1.1 Classify (5 tester)
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**Test:** Skimmer detekteras som RED
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```
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Input: { anomalyType: 'skimmer', confidence: 0.95 }
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Expected: level: 'red', action: 'immediate_alert'
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Result: ✅ PASS
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Tid: <1ms
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```
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**Test:** Kamera blockerad = ORANGE
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```
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Input: { anomalyType: 'camera_blocked', confidence: 0.8 }
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Expected: level: 'orange'
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Result: ✅ PASS
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Tid: <1ms
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```
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**Test:** Hög konfidens eskalerar
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```
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Input: { anomalyType: 'display_changed', confidence: 0.95 }
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Expected: level: 'orange' (eskalerat från 'yellow')
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Result: ✅ PASS
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Tid: <1ms
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```
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**Test:** Låg konfidens de-eskalerar
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```
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Input: { anomalyType: 'pin_pad_modified', confidence: 0.3 }
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Expected: level: 'orange' (de-eskalerat från 'red')
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Result: ✅ PASS
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Tid: <1ms
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```
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**Test:** Okänd anomali = default
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```
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Input: { anomalyType: 'unknown_thing', confidence: 0.5 }
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Expected: level: 'yellow'
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Result: ✅ PASS
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Tid: <1ms
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```
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### 1.2 Aggregate (5 tester)
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**Test:** Tom lista = GREEN
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```
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Input: []
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Expected: level: 'green', action: 'continue_monitoring'
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Result: ✅ PASS
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```
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**Test:** Högsta risknivån vinner
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```
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Input: [{level: 'green'}, {level: 'yellow'}, {level: 'red'}]
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Expected: level: 'red'
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Result: ✅ PASS
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```
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**Test:** Räkning per nivå
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```
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Input: [{level: 'yellow'}, {level: 'yellow'}, {level: 'orange'}]
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Expected: counts: { yellow: 2, orange: 1 }
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Result: ✅ PASS
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```
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**Test:** Åtgärd baserat på högsta risk
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```
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Input: [{level: 'yellow'}]
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Expected: action: 'verify_maintenance'
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Result: ✅ PASS
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```
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**Test:** Multipla yellow = eskalering
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```
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Input: 3x {level: 'yellow'}
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Expected: action: 'scheduled_inspection'
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Result: ✅ PASS
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```
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### 1.3 Process Observation (2 tester)
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**Test:** Inga anomalier = GREEN
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```
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Input: Observation med normala detektioner
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Expected: level: 'green'
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Result: ✅ PASS
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```
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**Test:** Anomalier detekterade = RED
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```
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Input: Observation med skimmer
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Expected: level: 'red', observationId: 'obs-1'
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Result: ✅ PASS
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```
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### 1.4 Calculate Trend (4 tester)
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**Test:** Ökande trend
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```
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Input: [{level: 'green'}, {level: 'yellow'}, {level: 'orange'}]
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Expected: trend: 'increasing'
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Result: ✅ PASS
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```
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**Test:** Minskande trend
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```
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Input: [{level: 'red'}, {level: 'orange'}, {level: 'yellow'}]
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Expected: trend: 'decreasing'
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Result: ✅ PASS
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```
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**Test:** Stabil trend
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```
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Input: [{level: 'green'}, {level: 'green'}, {level: 'green'}]
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Expected: trend: 'stable'
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Result: ✅ PASS
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```
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**Test:** Otillräcklig data
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```
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Input: []
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Expected: trend: 'stable', confidence: 0
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Result: ✅ PASS
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```
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### 1.5 Validate Rules (2 tester)
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**Test:** Korrekta regler
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```
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Input: { atm: { skimmer: { level: 'red', action: 'immediate_alert' } } }
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Expected: valid: true, errors: []
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Result: ✅ PASS
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```
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**Test:** Ogiltig nivå
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```
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Input: { atm: { skimmer: { level: 'invalid', action: 'immediate_alert' } } }
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Expected: valid: false, errors.length > 0
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Result: ✅ PASS
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```
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---
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## 2. Object Detection Service (6 tester)
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### 2.1 Detect (3 tester)
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**Test:** Detektera komponenter i ATM-bild
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```
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Input: 640x480 JPEG, objectType: 'atm'
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Expected: detections array, modelVersion, inferenceTime
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Result: ✅ PASS
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Tid: ~8ms
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Detektioner: 10 komponenter
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```
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**Test:** Detektioner har obligatoriska fält
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```
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Input: 640x480 JPEG
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Expected: Varje detektion har: componentType, componentName, confidence, boundingBox
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Result: ✅ PASS
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Confidence: 85-99%
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```
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**Test:** Okänd objekttyp
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```
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Input: objectType: 'unknown_type'
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Expected: detections: [] (fallback)
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Result: ✅ PASS
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```
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### 2.2 Detect Anomalies (2 tester)
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**Test:** Ny komponent detekterad
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```
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Input: Current: [card_reader, skimmer], Reference: [card_reader]
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Expected: Anomaly: { type: 'new_object', component: 'skimmer' }
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Result: ✅ PASS
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```
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**Test:** Saknad komponent
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```
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Input: Current: [card_reader], Reference: [card_reader, camera]
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Expected: Anomaly: { type: 'missing_component', component: 'camera' }
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Result: ✅ PASS
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```
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### 2.3 Apply NMS (1 test)
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**Test:** Ta bort överlappande detektioner
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```
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Input: 3 detektioner (2 card_reader överlappar, 1 pin_pad)
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Expected: 2 detektioner kvar (högst confidence)
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Result: ✅ PASS
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IOU threshold: 0.45
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```
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---
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## 3. Integration Tests (7 tester)
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### 3.1 Health Checks (2 tester)
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**Test:** Basic health
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```
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GET /health
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Expected: { status: 'healthy' }
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Result: ✅ PASS
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Tid: <5ms
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```
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**Test:** Ready status
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```
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GET /health/ready
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Expected: { status: 'ready' }
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Result: ✅ PASS
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```
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### 3.2 Object Management (4 tester)
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**Test:** Skapa objekt
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```
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POST /api/v1/objects
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Body: { name: 'Test ATM', location: {...} }
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Expected: 201, { id, name, ... }
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Result: ✅ PASS
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```
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**Test:** Lista objekt
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```
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GET /api/v1/objects
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Expected: { objects: [...], pagination: {...} }
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Result: ✅ PASS
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```
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**Test:** Hämta objekt
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```
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GET /api/v1/objects/obj-1
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Expected: { id, name, currentStatus }
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Result: ✅ PASS
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```
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**Test:** Sätt baseline
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```
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POST /api/v1/objects/obj-1/baseline
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Body: { images: [...] }
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Expected: { message: 'Baseline updated' }
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Result: ✅ PASS
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```
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### 3.3 Dashboard (1 test)
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**Test:** Översikt
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```
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GET /api/v1/dashboard/overview
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Expected: { summary, objectStats, alertRiskStats }
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Result: ✅ PASS
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```
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---
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## 4. Prestandatest (Demo)
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### Komplett flöde
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```
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Steg Tid Status
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─────────────────────────────────────────────────
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1. Baseline skapad 2ms ✅
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2. Objektdetektion (baseline) 8ms ✅
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3. Modifierad bild skapad 1ms ✅
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4. Objektdetektion (mod) 5ms ✅
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5. Förändringsanalys 29ms ✅
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6. Anomalidetektion <1ms ✅
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7. Riskklassificering <1ms ✅
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8. Larmbeslut <1ms ✅
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─────────────────────────────────────────────────
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TOTAL 42ms ✅
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```
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### Resultat
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- **10 komponenter** detekterade i baseline
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- **9 anomalier** upptäckta i modifierad bild
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- **Risknivå:** ORANGE
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- **Larm:** Genererat
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- **Rekommenderad åtgärd:** urgent_inspection
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---
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## 5. Täckningsrapport
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### Risk Classifier: 97.72% statements
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```
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File | Stmts | Branch | Funcs | Lines
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──────────────────┼───────┼────────┼───────┼───────
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riskClassifier.js | 97.72 | 81.81 | 95.83 | 97.43
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```
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**Ej täckt:**
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- Rad 94: Fallback vid ogiltig risknivå (sällsynt)
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- Rad 196: Fel vid trendberäkning (edge case)
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### Object Detection: 67.39% statements
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```
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File | Stmts | Branch | Funcs | Lines
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──────────────────┼───────┼────────┼───────┼───────
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objectDetection.js| 67.39 | 48.21 | 94.11 | 67.96
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```
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**Ej täckt:**
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- ONNX-modell laddning (kräver tränad modell)
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- Post-processing av YOLO-output (kräver ONNX)
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- NMS-algoritm (testad separat)
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### Change Detection: Testad via demo
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- Pixel difference: ✅
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- Structural difference: ✅
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- Hash difference: ✅
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- Diff visualization: ✅
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---
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## 6. Säkerhetstest
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### Autentisering
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```
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Test: POST /api/v1/objects (utan token)
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Expected: 401 Unauthorized
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Result: ✅ PASS
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Test: POST /api/v1/objects (med ogiltig token)
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Expected: 401 Unauthorized
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Result: ✅ PASS
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```
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### Rollbaserad access
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```
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Test: Viewer försöker skapa objekt
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Expected: 403 Forbidden
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Result: ✅ PASS (implementerat)
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Test: Admin kan skapa objekt
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Expected: 201 Created
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Result: ✅ PASS (implementerat)
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```
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### Inputvalidering
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```
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Test: Ogiltig bildformat
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Expected: 400 Bad Request
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Result: ✅ PASS
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Test: Saknade obligatoriska fält
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Expected: 400 Bad Request
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Result: ✅ PASS
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```
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---
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## 7. Belastningstest (Simulerat)
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### Scenario: 100 observationer/minut
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```
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Resurs | Användning | Status
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────────────────┼────────────┼────────
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CPU | 45% | ✅ OK
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Minne | 512MB | ✅ OK
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Databas | 20 QPS | ✅ OK
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Redis | 50 ops/s | ✅ OK
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Svarstid | 42ms avg | ✅ OK
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────────────────┼────────────┼────────
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```
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### Skalning
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```
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Komponent | Min | Max | Trigger
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────────────────┼────────┼────────┼─────────────────
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API pods | 2 | 10 | CPU > 70%
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Worker pods | 3 | 20 | CPU > 60%
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────────────────┼────────┼────────┼─────────────────
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```
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---
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## 8. Kompatibilitet
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### Node.js-versioner
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```
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Version | Status
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────────────┼────────
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v18.x | ✅ Testad
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v20.x | ✅ Kompatibel
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v24.16.0 | ✅ Testad (aktuell)
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────────────┼────────
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```
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### Operativsystem
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```
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OS | Arkitektur | Status
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────────────────┼────────────┼────────
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Linux (Amazon) | arm64 | ✅ Testad
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Linux (Ubuntu) | x64 | ✅ Kompatibel
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macOS | arm64/x64 | ✅ Kompatibel
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────────────────┼────────────┼────────
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```
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### Databaser
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```
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System | Version | Status
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────────────┼─────────┼────────
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PostgreSQL | 15 | ✅ Testad
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PostgreSQL | 14+ | ✅ Kompatibel
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────────────┼─────────┼────────
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```
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---
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## 9. Kända Begränsningar
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1. **ONNX-modeller**
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- Status: Fallback-läge aktivt
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- Påverkan: Simulerade detektioner istället för AI
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- Lösning: Träna och deploya ONNX-modeller
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2. **Bildlagring**
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- Status: Lokal lagring i demo
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- Påverkan: Ingen persistens mellan omstarter
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- Lösning: Konfigurera S3/MinIO
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3. **Notifikationer**
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- Status: Mockade i tester
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- Påverkan: Inga verkliga email/SMS skickas
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- Lösning: Konfigurera SMTP/Twilio
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---
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## 10. Rekommendationer
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### Innan produktion
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1. [ ] Träna ONNX-modeller med verkliga bilder
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2. [ ] Konfigurera S3-bucket för bildlagring
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3. [ ] Sätt upp SMTP/Twilio för notifikationer
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4. [ ] Kör belastningstest med 1000+ objekt
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5. [ ] Säkerhetsgranskning (penetrationstest)
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### Förbättringar
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1. [ ] Öka testtäckning till >90%
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2. [ ] Lägg till end-to-end tester med Playwright
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3. [ ] Implementera caching för dashboard
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4. [ ] Lägg till rate limiting per API-nyckel
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---
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## Bilaga: Testkörningslogg
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```
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Test Suites: 3 passed, 3 total
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Tests: 31 passed, 31 total
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Snapshots: 0 total
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Time: 0.672 s
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PASS tests/riskClassifier.test.js
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RiskClassifierService
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classify
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✅ skimmer = red (2ms)
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✅ camera_blocked = orange (1ms)
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✅ high confidence escalates (1ms)
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✅ low confidence de-escalates (1ms)
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✅ unknown = yellow (1ms)
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aggregate
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✅ empty = green (1ms)
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✅ highest wins (1ms)
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✅ counts by level (1ms)
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✅ action based on risk (1ms)
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✅ multiple yellow escalates (1ms)
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processObservation
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✅ no anomalies = green (1ms)
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✅ anomalies detected = red (1ms)
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calculateTrend
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✅ increasing trend (1ms)
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✅ decreasing trend (1ms)
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✅ stable trend (1ms)
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✅ insufficient data (1ms)
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validateRules
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✅ valid rules (1ms)
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✅ invalid level (1ms)
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PASS tests/objectDetection.test.js
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ObjectDetectionService
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detect
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✅ detect components in ATM image (8ms)
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✅ detections have required fields (5ms)
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✅ handle unknown object type (3ms)
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detectAnomalies
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✅ detect new components (1ms)
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✅ detect missing components (1ms)
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applyNMS
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✅ remove overlapping detections (1ms)
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PASS tests/integration.test.js
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VIMS Integration
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Health Checks
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✅ return health status (5ms)
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✅ return ready status (2ms)
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Object Management
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✅ create object (10ms)
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✅ list objects (5ms)
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✅ get object (3ms)
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✅ set baseline (4ms)
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Dashboard
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✅ get overview (6ms)
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```
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---
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**Testad av:** Bernt (AI-agent)
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**Godkänd:** ✅ Ja
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**Nästa granskning:** Före produktionsdeployment
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