OpenNEM Energy Market Data Access
NOTE: This is the backend project For the client python project see opennem/opennempy
The OpenNEM project aims to make the wealth of public National Electricity Market (NEM) data more accessible to a wider audience.
This toolkit enables downloading, mirroring and accessing energy data from various networks
Project homepage at https://opennem.org.au
Available on Docker at https://hub.docker.com/r/opennem/opennem
Currently supports:
- Australian NEM: https://www.nemweb.com.au/
- West Australia Energy Market: http://data.wa.aemo.com.au/
Requirements
- Python 3.10+ (see
.python-version
withpyenv
) - Docker and
docker-compose
if you want to run the local dev stack
Local Development Environment
Start the local docker stack
$ docker-compose up -d
Quickstart
With poetry:
$ poetry install
$ poetry shell
$ ./scripts/init.py
With pip + venv:
$ pip -m venv .venv
$ pip install -r requirements.txt
$ source .venv/bin/activate
$ ./scripts/init.py
Initialization
The init script will setup all facilities from the latest stations.json
file - crawl the last 7 days of data and run all the aggregate methods required for output.
Install
You can install this project with python pip
:
$ pip install opennem
Or alternatively with docker:
$ docker pull opennem/opennem
Bundled with sqlite support. Other database drivers are optional and not installed by default. Install a supported database driver:
Postgres:
$ pip install psycopg2
Usage
List the crawlers
$ opennem crawl list
Crawl
$ opennem crawl run au.nem.current.dispatch_scada
Development
This project uses the new pyproject.toml
project and build specification file. To make use of it use the poetry
tool which can be installed on Windows, MacOS and Linux:
https://python-poetry.org/docs/
Installation instructions for Poetry are at:
https://python-poetry.org/docs/#installation
By default poetry will install virtual environments in your home metadata directory. A good alternative is to install the venv
locally for each project with the following setting:
$ poetry config virtualenvs.in-project true
This will create the virtual environment within the project folder in a folder called .venv
. This folder is ignored by git by default.
Setting up a virtual environment and installing requiements using Poetry:
$ poetry install
To activate the virtual environment either run:
$ poetry shell
Or you can just activate the standard venv
$ source .venv/bin/activate
Settings are read from environment variables. Environment variables can be read from a .env
file in the root of the folder. Setup the environment by copying the .env.sample
file to .env
. The defaults in the sample file map to the settings in docker-compose.yml
There is a docker-compose
file that will bring a local database:
$ docker-compose up -d
Bring up the database migrations using alembic:
$ alembic upgrade head
The opennem
cli interface provides other options and settings:
$ opennem -h
Settings for Visual Studio Code are stored in .vscode
. Code is kept formatted and linted using pylint
, black
and isort
with settings defined in pyproject.toml
Testing
Tests are in tests/
Run tests with:
$ pytest
Run background test watcher with
$ ptw
Build Release
The script build-release.sh
will tag a new release, build the docker image, tag the git version, push to GitHub and push the latest
release to PyPi
Code Navigation
- Database models for supported energy markets are stored in
opennem/db/models
- API intercace at
opennem/api
Notebooks
The OpenNEM project is packaged with a number of example Jupyter notebooks demonstrating use of the API and library. The dependancies to run notebooks are found in requirements_notebooks.txt
in the root folder. The example notebooks are contained in notebooks
and there is a configured Jupyter profile in .jupyter
.
To set it up first install the requirements, and then start the Jupyter server
$ source .venv/bin/activate
$ pip install -r requirements_notebooks.txt
$ jupyter notebook