Metadata-Version: 2.1
Name: marisco
Version: 0.1.2
Summary: MARIS companion package and tutorials
Home-page: https://github.com/franckalbinet/marisco
Author: Franck Albinet
Author-email: franckalbinet@gmail.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

marisco
================

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

The IAEA [Marine Radioactivity Information System
(**MARIS**)](https://maris.iaea.org) allows free access to users to
search and download the results of measurements of radioactivity in
seawater, biota, sediment and suspended matter. MARIS is maintained and
developed by the [IAEA Environmental
Laboratories](https://www.iaea.org/about/organizational-structure/department-of-nuclear-sciences-and-applications/division-of-iaea-environment-laboratories)
in Monaco.

The present Python package provides command-line utilities to:

1.  Encode harvested datasets as `NetCDF` or `.csv` formats
2.  Interact with the [IAEA Open Data platform soon available](...)
3.  Provide data preprocessing pipelines for ad-hoc datasets
4.  …

## Prerequisites

We recommend to use the [“Mamba” python package
manager](https://mamba.readthedocs.io) to create a clean and
“deterministic” python environment.

Once installed, a typical Mamba workflow could be:

``` console
# Create an isolated env. with your prefered python version
mamba create -n name-of-your-env python=3.9 

# Then
mamba activate name-of-your-env
mamba install your-packages-of-interest
mamba deactivate # To quit your environment
```

## Install & configuration

Now, to install `marisco` simply run

``` console
pip install marisco
```

Once successfully installed, run the following command:

``` console
maris_init
```

This script will create a `.marisco/` directory containing various
configuration/configurable files in your `/home` directory including:

- `cdl.toml`: MARIS [NetCDF4 CDL (Common Data
  Language](https://www.unidata.ucar.edu/software/netcdf/workshops/most-recent/nc3model/Cdl.html).
- `configs.toml`: contains several configurable constants, default
  paths, …
- `lut/`: directory containing several MARIS DB nomenclature files
- `maris-template.nc`: MARIS NetCDF4 template generated from the `cdl`
  and use to encode MARIS datasets

*Notes: `conda/mamba` installer will be also available soon.*

## How to use

### Command line utilities

All commands accept a `-h` argument to get access to its documentation.

#### `maris_init`

Create configuration files, MARIS NetCDF CDL (Common Data Language) and
donwload required lookup tables (nomenclatures).

#### `maris_create_nc_template`

Generate MARIS NetCDF template to be used when encoding datasets

#### `maris_netcdfy`

Encode MARIS dataset as NetCDF using Jupyter Notebook handlers

Positional arguments:

- `data`: Path to dataset to encode
- `nb_in`: Path to Jupyter noteboook (NetCDF handler) to execute
- `nc_out`: Path to generated NetCDF4

Example:

``` console
maris_netcdfy _data/xls/tepco/coastal_water.xlsx nbs/handlers/tepco.ipynb _data/output/tepco.nc
```
