naludaq-rs 0.1.5

Rust backend for NaluDAQ

NaluDAQ_rs

Rust backend for NaluDaq.

Setup

Make sure the Rust toolchain is installed.

Clone the repository to a suitable location:

$ git clone http://gitlab.naluscientific.com/nalusoft/prototypes/naludaq_rs.git

Done!

Building the backend for python

pip install maturin
maturin build

Building the Backend

The backend is easy to build:

$ cd naludaq_rs
$ cargo build --release

Developers may ommit the --release flag for unoptimized builds.

Building for RPI4

Building using docker:

docker build . -t cc/rpi4

to make the container, the build the app with:

docker run --rm -v ${pwd}:/app cc/rpi4

Running the Backend

To run the backend, run the following command:

$ cargo run  --release -- [<ROOT>] [--addr <ADDR>] [-d | --debug]  [--api]

Where the arguments are as follows:

• <ROOT> is the root directory to run the server in. By default, it is the current working directory of the terminal it was run from.
• --addr <ADDR> is the address to bind the server to in the format IP:PORT. If unspecified, the server is bound to an open port on the loopback address.
• -d | --debug shows additional debug messages.
• --api will open the Swagger UI in the system browser.

Documentation

The documentation can be built using the following command:

$ cargo doc --document-private-items --no-deps

The API

NaluDAQ_rs is controlled through its REST API over HTTP. This allows it to be controlled from any machine connected to a network.

The backend can be controlled on the fly via Swagger. Use the --api flag when starting the backend to display the Swagger UI.

Alternatively, the (non-interactive) Swagger UI may be viewed without the backend by running the following command:

$ cargo run --bin api -- [--output OUTPUT_FILE]

If the --output argument is provided, the OpenAPI JSON data describing the API is written to the file and the program will immediately exit.

Developers

Profiling

Use the build profile called `release-with-debug for building release mode with debug symbols.

$ cargo build --profile release-with-debug

On Windows machines with Intel processors you can use Intel VTune to profile the backend.