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Oleksandr Bezdieniezhnykh 8ce40a9385 Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management

- Introduced `AIAvailabilityStatus` class to manage the availability status of AI models, including methods for setting status and logging messages.
- Added `AIRecognitionConfig` class to encapsulate configuration parameters for AI recognition, with a static method for creating instances from dictionaries.
- Implemented enums for AI availability states to enhance clarity and maintainability.
- Updated related Cython files to support the new classes and ensure proper type handling.

These changes aim to improve the structure and functionality of the AI model management system, facilitating better status tracking and configuration handling.

2026-03-31 05:49:51 +03:00

2.7 KiB

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Media Table Integration

Task: AZ-175_media_table_integration Name: Integrate Media table: create record on upload, store file, track status Description: When a file is uploaded to the detections API, create a Media record in the DB, store the file at the proper path, and update MediaStatus throughout processing. Complexity: 2 points Dependencies: Annotations service needs Media CRUD endpoints Component: Media Management Jira: AZ-175 Parent: AZ-172

Problem

Currently, uploaded files are written to temp files, processed, and deleted. No Media record is created in the database. File persistence and status tracking are missing.

Current State

/detect: writes upload to tempfile.NamedTemporaryFile, processes, deletes via os.unlink
/detect/{media_id}: accepts a media_id parameter but doesn't create or manage Media records
No XxHash64 ID generation in the detections module
No file storage to persistent paths

Target State

On Upload

Receive file bytes from HTTP upload
Compute XxHash64 of file content using the sampling algorithm
Determine MediaType from file extension (Video or Image)
Store file at proper path (from DirectorySettings: VideosDir or ImagesDir)
Create Media record via annotations service: POST /api/media
- Id: XxHash64 hex string
- Name: original filename
- Path: storage path
- MediaType: Video|Image
- MediaStatus: New (1)
- UserId: from JWT

During Processing

Update MediaStatus to AIProcessing (2) via PUT /api/media/{id}/status
Run detection (stream-based per AZ-173)
Update MediaStatus to AIProcessed (3) on success, or Error (6) on failure

XxHash64 Sampling Algorithm

For files >= 3072 bytes:
  Input = file_size_as_8_bytes + first_1024_bytes + middle_1024_bytes + last_1024_bytes
  Output = XxHash64(input) as hex string

For files < 3072 bytes:
  Input = file_size_as_8_bytes + entire_file_content
  Output = XxHash64(input) as hex string

Virtual hashes (in-memory only) prefixed with "V".

Acceptance Criteria

XxHash64 ID computed correctly using the sampling algorithm
Media record created in DB on upload with correct fields
File stored at proper persistent path (not temp)
MediaStatus transitions: New → AIProcessing → AIProcessed (or Error)
UserId correctly extracted from JWT and associated with Media record

File Changes

File	Action	Description
`src/main.py`	Modified	Upload handling, Media API calls, status updates
`src/media_hash.py`	New	XxHash64 sampling hash utility
`requirements.txt`	Modified	Add `xxhash` library if not present

2.7 KiB Raw Blame History