Build from Source#
Build the Docker Image#
cd edge-ai-libraries/microservices/sensor-manager
make build # uses REGISTRY and TAG from .env
To build the image directly:
docker build -f docker/Dockerfile -t intel/sensor-manager:latest .
Run Locally without Docker#
uv sync --frozen --extra dev
SENSOR_MANAGER_PORT=8090 uv run python -m src
USB discovery requires v4l2-ctl (the v4l-utils package), and your user must be able to open
/dev/video* devices (member of the video group).
Run Tests and Linters#
make test # unit tests
make coverage # tests with coverage report in coverage/
make lint # ruff check and format check
Update the dlstreamer.onvif Library#
The library is pinned to a DL Streamer commit in pyproject.toml
([tool.uv.sources] intel-dlstreamer). To update it, change rev to the new commit SHA, run
uv lock, then run the tests and commit both pyproject.toml and uv.lock.