National Renewable Energy Laboratory's (NREL's) Geospatial Analysis Pipelines (GAPs) framework
Project description
================================================ Welcome to Geospatial Analysis Pipelines (GAPs)!
.. inclusion-intro
Geospatial Analysis Pipelines (GAPs) is a framework designed
to assist users in scaling their geospatial models to a
High-Performance Computing (HPC) environment. In particular,
GAPs automatically distributes the execution of a
single-location model (such as the System Advisor Model <https://sam.nrel.gov>
)
over a large geospatial extent (e.g. CONUS) across many parallel
HPC nodes. Born from the open-source reV <https://github.com/NREL/reV>
model, GAPs is a
robust and easy-to-use engine that provides a rich set of features
such as configuration file generation, job status monitoring,
CLI Documentation, and more.
Installing gaps
NOTE: The installation instruction below assume that you have python installed
on your machine and are using conda <https://docs.conda.io/en/latest/index.html>
_
as your package/environment manager.
-
Clone the
gaps
repository.- Using ssh: :code:
git clone git@github.com:NREL/gaps.git
- Using https: :code:
git clone https://github.com/NREL/gaps.git
- Using ssh: :code:
-
Create and activate the
gaps
environment and install the package:- Create a conda env:
conda create -n gaps python=3.10
- Activate the newly-created conda env:
conda activate gaps
- Change directories into the repository:
cd gaps
- Prior to running
pip
below, make sure the branch is correct (install from main!):git branch -vv
- Install
gaps
and its dependencies by running:pip install -e .
(orpip install -e .[dev]
if running a dev branch or working on the source code)
- Create a conda env:
Development
This repository uses pylint <https://pylint.pycqa.org/en/latest/>
_ to lint the code and
black <https://black.readthedocs.io/en/stable/index.html>
_ to format it (check out the
black formatting style <https://black.readthedocs.io/en/stable/the_black_code_style/current_style.html>
_).
If you wish to contribute to this repository, your code will have to adhere to both of these guidelines and pass all existing tests.
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