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.