mirror of https://github.com/azaion/detections.git synced 2026-04-22 09:56:32 +00:00

Files

T

Oleksandr Bezdieniezhnykh be4cab4fcb [AZ-178] Implement streaming video detection endpoint

- Added `/detect/video` endpoint for true streaming video detection, allowing inference to start as upload bytes arrive.
- Introduced `run_detect_video_stream` method in the inference module to handle video processing from a file-like object.
- Updated media hashing to include a new function for computing hashes directly from files with minimal I/O.
- Enhanced documentation to reflect changes in video processing and API behavior.

Made-with: Cursor

2026-04-01 03:11:43 +03:00

3.2 KiB

Raw Blame History

Containerization Plan

Image Variants

detections-cpu (Dockerfile)

Aspect	Specification
Base image	`python:3.11-slim` (pinned digest recommended)
Build stages	Single stage (Cython compile requires gcc at runtime for setup.py)
Non-root user	`adduser --disabled-password --gecos '' appuser` + `USER appuser`
Health check	`HEALTHCHECK --interval=30s --timeout=5s CMD curl -f http://localhost:8080/health \|\| exit 1`
Exposed ports	8080
Entrypoint	`uvicorn main:app --host 0.0.0.0 --port 8080`

Changes needed to existing Dockerfile:

Add non-root user (security finding F7)
Add HEALTHCHECK directive
Pin python:3.11-slim to specific digest
Add curl to apt-get install (for health check)

detections-gpu (Dockerfile.gpu)

Aspect	Specification
Base image	`nvidia/cuda:12.2.0-runtime-ubuntu22.04`
Build stages	Single stage
Non-root user	`adduser --disabled-password --gecos '' appuser` + `USER appuser`
Health check	`HEALTHCHECK --interval=30s --timeout=5s CMD curl -f http://localhost:8080/health \|\| exit 1`
Exposed ports	8080
Entrypoint	`uvicorn main:app --host 0.0.0.0 --port 8080`
Runtime	Requires `--runtime=nvidia` or `nvidia` runtime in Docker

Changes needed to existing Dockerfile.gpu:

Add non-root user
Add HEALTHCHECK directive
Add curl to apt-get install

.dockerignore

.git
.gitignore
_docs/
_standalone/
e2e/
tests/
*.md
.env
.env.*
.cursor/
.venv/
venv/
__pycache__/
*.pyc
build/
dist/
*.egg-info
Logs/

Docker Compose — Local Development

docker-compose.yml (already partially exists as e2e/docker-compose.mocks.yml):

name: detections-dev

services:
  mock-loader:
    build: ./e2e/mocks/loader
    ports:
      - "18080:8080"
    volumes:
      - ./e2e/fixtures:/models
    networks:
      - dev-net

  mock-annotations:
    build: ./e2e/mocks/annotations
    ports:
      - "18081:8081"
    networks:
      - dev-net

  detections:
    build:
      context: .
      dockerfile: Dockerfile
    ports:
      - "8080:8080"
    depends_on:
      - mock-loader
      - mock-annotations
    env_file: .env
    environment:
      LOADER_URL: http://mock-loader:8080
      ANNOTATIONS_URL: http://mock-annotations:8081
    volumes:
      - ./e2e/fixtures/classes.json:/app/classes.json:ro
      - detections-logs:/app/Logs
    shm_size: 512m
    networks:
      - dev-net

volumes:
  detections-logs:

networks:
  dev-net:
    driver: bridge

Docker Compose — Blackbox Tests

Already exists: e2e/docker-compose.test.yml. No changes needed — supports both cpu and gpu profiles with mock services and test runner.

Image Tagging Strategy

Context	Tag Format	Example
CI builds	`<registry>/azaion/detections-cpu:<git-sha>`	`registry.example.com/azaion/detections-cpu:a1b2c3d`
CI builds (GPU)	`<registry>/azaion/detections-gpu:<git-sha>`	`registry.example.com/azaion/detections-gpu:a1b2c3d`
Local development	`detections-cpu:dev`	—
Latest stable	`<registry>/azaion/detections-cpu:latest`	Updated on merge to main

3.2 KiB Raw Blame History