mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 22:56:31 +00:00
Oleksandr Bezdieniezhnykh
99 lines
4.2 KiB
Markdown
99 lines
4.2 KiB
Markdown
# Verification Log
|
|
|
|
## Summary
|
|
|
|
| Metric | Count |
|
|
|--------|-------|
|
|
| Total entities verified | 82 |
|
|
| Entities confirmed correct | 78 |
|
|
| Issues found | 4 |
|
|
| Corrections applied | 4 |
|
|
| Remaining gaps | 0 |
|
|
| Completeness score | 10/10 modules covered |
|
|
|
|
## Entity Verification
|
|
|
|
### Classes & Functions — All Verified
|
|
|
|
| Entity | Module | Status |
|
|
|--------|--------|--------|
|
|
| AnnotationClass | constants_inf | Confirmed |
|
|
| WeatherMode enum (Norm/Wint/Night) | constants_inf | Confirmed |
|
|
| log(), logerror(), format_time() | constants_inf | Confirmed |
|
|
| annotations_dict | constants_inf | Confirmed |
|
|
| AIRecognitionConfig | ai_config | Confirmed |
|
|
| from_dict(), from_msgpack() | ai_config | Confirmed |
|
|
| AIAvailabilityEnum | ai_availability_status | Confirmed |
|
|
| AIAvailabilityStatus | ai_availability_status | Confirmed |
|
|
| Detection, Annotation | annotation | Confirmed |
|
|
| InferenceEngine | inference_engine | Confirmed |
|
|
| OnnxEngine | onnx_engine | Confirmed |
|
|
| TensorRTEngine | tensorrt_engine | Confirmed |
|
|
| convert_from_onnx, get_engine_filename, get_gpu_memory_bytes | tensorrt_engine | Confirmed |
|
|
| Inference | inference | Confirmed |
|
|
| LoaderHttpClient, LoadResult | loader_http_client | Confirmed |
|
|
| DetectionDto, DetectionEvent, HealthResponse, AIConfigDto | main | Confirmed |
|
|
| TokenManager | main | Confirmed |
|
|
| detection_to_dto | main | Confirmed |
|
|
|
|
### API Endpoints — All Verified
|
|
|
|
| Endpoint | Method | Status |
|
|
|----------|--------|--------|
|
|
| /health | GET | Confirmed |
|
|
| /detect | POST | Confirmed |
|
|
| /detect/{media_id} | POST | Confirmed |
|
|
| /detect/stream | GET | Confirmed |
|
|
|
|
### Constants — All Verified
|
|
|
|
All 10 constants in constants_inf module verified against code values.
|
|
|
|
## Issues Found & Corrections Applied
|
|
|
|
### Issue 1: Legacy PXD Declarations (constants_inf)
|
|
|
|
**Location**: `constants_inf.pxd` lines 3-5
|
|
|
|
**Finding**: The `.pxd` header declares `QUEUE_MAXSIZE`, `COMMANDS_QUEUE`, and `ANNOTATIONS_QUEUE` which are NOT defined in the `.pyx` implementation. Comments reference "command queue in rabbit" and "annotations queue in rabbit" — these are remnants of a previous RabbitMQ-based architecture.
|
|
|
|
**Correction**: Added note to `modules/constants_inf.md` documenting these as orphaned legacy declarations.
|
|
|
|
### Issue 2: Unused serialize() Methods
|
|
|
|
**Location**: `annotation.pyx` (Annotation.serialize, Detection — via annotation), `ai_availability_status.pyx` (AIAvailabilityStatus.serialize)
|
|
|
|
**Finding**: Both `serialize()` methods are defined but never called anywhere in the codebase. They use msgpack serialization with compact keys, suggesting they were part of the previous queue-based message passing architecture. The current HTTP API uses Pydantic JSON serialization instead.
|
|
|
|
**Correction**: Added note to relevant module docs marking serialize() as legacy/unused.
|
|
|
|
### Issue 3: Unused from_msgpack() Factory Method
|
|
|
|
**Location**: `ai_config.pyx` line 55
|
|
|
|
**Finding**: `AIRecognitionConfig.from_msgpack()` is defined but never called. Only `from_dict()` is used (called from `inference.pyx`). This is another remnant of the queue-based architecture where configs were transmitted as msgpack.
|
|
|
|
**Correction**: Added note to `modules/ai_config.md`.
|
|
|
|
### Issue 4: Unused file_data Field
|
|
|
|
**Location**: `ai_config.pyx` line 31
|
|
|
|
**Finding**: `AIRecognitionConfig.file_data` (bytes) is stored in the constructor but never read anywhere in the codebase. It's populated from both `from_dict` and `from_msgpack` but has no consumer.
|
|
|
|
**Correction**: Added note to `modules/ai_config.md`.
|
|
|
|
## Cross-Document Consistency
|
|
|
|
| Check | Result |
|
|
|-------|--------|
|
|
| Component docs match architecture doc | Consistent |
|
|
| Flow diagrams match component interfaces | Consistent |
|
|
| Data model matches module docs | Consistent |
|
|
| Dependency graph in discovery matches component diagram | Consistent |
|
|
| Constants values in docs match code | Confirmed |
|
|
|
|
## Infrastructure Observation
|
|
|
|
No Dockerfile, docker-compose.yml, or CI/CD configuration found in the repository. The architecture doc's deployment section is based on inference from service hostnames (loader:8080, annotations:8080) suggesting containerized deployment, but no container definitions exist in this repo. They likely reside in a parent or infrastructure repository.
|