mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 12:56:31 +00:00
Add detailed file index and enhance skill documentation for autopilot, decompose, deploy, plan, and research skills. Introduce tests-only mode in decompose skill, clarify required files for deploy and plan skills, and improve prerequisite checks across skills for better user guidance and workflow efficiency.
This commit is contained in:
@@ -0,0 +1,98 @@
|
||||
# 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.
|
||||
Reference in New Issue
Block a user