# Component Relationship Diagram

```mermaid
graph TD
    subgraph "Core Infrastructure"
        core[01 Core<br/>constants, utils]
    end

    subgraph "Security & Hardware"
        sec[02 Security<br/>security, hardware_service]
    end

    subgraph "API & CDN Client"
        api[03 API & CDN<br/>api_client, cdn_manager]
    end

    subgraph "Data Models"
        dto[04 Data Models<br/>dto/annotationClass, dto/imageLabel]
    end

    subgraph "Data Pipeline"
        data[05 Data Pipeline<br/>augmentation, convert-annotations,<br/>dataset-visualiser]
    end

    subgraph "Training Pipeline"
        train[06 Training<br/>train, exports, manual_run]
    end

    subgraph "Inference Engine"
        infer[07 Inference<br/>inference/*, start_inference]
    end

    subgraph "Annotation Queue Service"
        queue[08 Annotation Queue<br/>annotation-queue/*]
    end

    core --> api
    core --> data
    core --> train
    core --> infer

    sec --> api
    sec --> train
    sec --> infer

    api --> train
    api --> infer

    dto --> data
    dto --> train

    data -.->|augmented images<br/>on filesystem| train

    queue -.->|annotation files<br/>on filesystem| data

    style core fill:#e8f5e9
    style sec fill:#fff3e0
    style api fill:#e3f2fd
    style dto fill:#f3e5f5
    style data fill:#fce4ec
    style train fill:#e0f2f1
    style infer fill:#f9fbe7
    style queue fill:#efebe9
```

## Component Summary

| # | Component | Modules | Purpose |
|---|-----------|---------|---------|
| 01 | Core Infrastructure | constants, utils | Shared paths, config keys, helper classes |
| 02 | Security & Hardware | security, hardware_service | AES encryption, key derivation, hardware fingerprinting |
| 03 | API & CDN Client | api_client, cdn_manager | REST API + S3 CDN communication, split-resource pattern |
| 04 | Data Models | dto/annotationClass, dto/imageLabel | Annotation classes, image+label container |
| 05 | Data Pipeline | augmentation, convert-annotations, dataset-visualiser | Data prep: augmentation, format conversion, visualization |
| 06 | Training Pipeline | train, exports, manual_run | YOLO training, model export, encrypted upload |
| 07 | Inference Engine | inference/dto, onnx_engine, tensorrt_engine, inference, start_inference | Real-time video object detection |
| 08 | Annotation Queue | annotation_queue_dto, annotation_queue_handler | Async annotation event consumer service |

## Module Coverage Verification
All 21 source modules are covered by exactly one component:
- 01: constants, utils (2)
- 02: security, hardware_service (2)
- 03: api_client, cdn_manager (2)
- 04: dto/annotationClass, dto/imageLabel (2)
- 05: augmentation, convert-annotations, dataset-visualiser (3)
- 06: train, exports, manual_run (3)
- 07: inference/dto, inference/onnx_engine, inference/tensorrt_engine, inference/inference, start_inference (5)
- 08: annotation-queue/annotation_queue_dto, annotation-queue/annotation_queue_handler (2)
- **Total: 21 modules covered**

## Inter-Component Communication
| From | To | Mechanism |
|------|----|-----------|
| Annotation Queue → Data Pipeline | Filesystem | Queue writes images/labels → augmentation reads them |
| Data Pipeline → Training | Filesystem | Augmented images in `/azaion/data-processed/` → dataset formation |
| Training → API & CDN | API calls | Encrypted model upload (split big/small) |
| Inference → API & CDN | API calls | Encrypted model download (reassemble big/small) |
| API & CDN → Security | Function calls | Encryption/decryption for transit protection |
| API & CDN → Core | Import | Path constants, config file references |