Searvey aims to provide the following functionality:

• Unified catalogue of observational data including near real time (WIP).

• Real time data analysis/clean up to facilitate comparison with numerical models (WIP).

• On demand data retrieval from multiple sources that currently include:

  • U.S. Center for Operational Oceanographic Products and Services (CO-OPS)
  • Flanders Marine Institute (VLIZ); Intergovernmental Oceanographic Commission (IOC)
  • U.S. Geological Survey (USGS)

The package can be installed with pip:

pip install searvey

and conda`:

conda install -c conda-forge searvey

In order to develop searvey you will need:

• Python 3.8+
• GNU Make
• poetry >= 1.2 (you can install it with pipx: pipx install poetry).
• poetry-dynamic-versioning which is a poetry plugin. Take note that this needs to be installed in the same (virtual) environment as poetry, not in the searvey one! If you used pipx for installing poetry, then you can inject it in the proper env with pipx inject poetry poetry-dynamic-versioning.
• pre-commit. You can also install this one with pipx: pipx install pre-commit

In order to setup the dev environment you can use:

python3 -mvenv .venv
source .venv/bin/activate
make init

which will:

1. create and activate a virtual environment,
2. install the full set of dependencies
3. Setup the pre-commit hooks

After that you should run the tests with:

make test

If you execute make without arguments, you should see more subcommands. E.g.

make mypy
make lint
make docs
make deps

Check them out!

If you wish to use jupyterlab to test searvey, then, assuming you have an existing jupyterlab installation, you should be able to add a kernel to it with:

python -m ipykernel install --user --name searvey