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jao-py

Python client for the various endpoints offered by the Joint Allocation Office, Europe's single leading trading platform for cross-border transmission capacity.
https://github.com/fboerman/jao-py

Category: Energy Systems
Sub Category: Energy Data Accessibility and Integration

Last synced: about 5 hours ago
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README.md

jao-py

tests

Python client for the various endpoints offered by jao.eu, the Joint Allocation Office.
"Europe's single leading trading platform( e-CAT) for cross-border transmission capacity"

More information about JAO can be found on their website https://jao.eu/

jao.eu has various ways of retrieving data. This package tries to offer useful functions to handle them.
This package is not exhaustive, more methods are added when the authors needs them.
If you want to see other methods added please either open a feature request issue to give others ideas or
supply a pull request yourself.

Installation

python3 -m pip install jao-py

Usage

Current clients

The package comes with the current pandas clients:

  • JaoAPIClient: api client for the webservice API defined here
  • JaoPublicationToolClient: client for the CORE Day Ahead publication tool defined here
  • JaoPublicationToolPandasIntraDay: client for CORE Intradaypublication tool for Intraday defined here
    The publication tool clients have valid data from their respective go lives:
  • CORE Day Ahead: business day 2022-06-09 onwards
  • CORE Intraday(b): business day 2024-05-29 onwards
  • CORE Intraday(a): business day 2024-06-14 onwards

CORE Intraday a and b are combined in the same intraday client. In the initialization of the client you can choose which one you want like so:

from jao import JaoPublicationToolPandasIntraDay

client = JaoPublicationToolPandasIntraDay(version='a') # IDCC(a)
client = JaoPublicationToolPandasIntraDay(version='b') # IDCC(b)

There is also a client available for parallel run, which works in the exact same way as the intraday client above:

from jao import JaoPublicationToolPandasIntraDayParRun

client = JaoPublicationToolPandasIntraDayParRun('c') #IDCC(c)

Deprecated clients

The package also includes legacy clients for flowbased CWE data in the CWE subpackage. These return data up until business day 2022-06-08

  • JaoUtilityToolASMXClient: a very light wrapper around the ASMX Web Service API implemented as a passthrough to the suds-community pakcage
  • JaoUtilityToolCSVClient: client to download csv data inm the same way as the utility tool excel file, returns pandas dataframes
  • JaoUtilityToolXmlClient: downloads xml data of the utilitytool, this requires solving a captcha by the user, returns pandas dataframes

To use these deprecated clients be sure to install the following additional dependencies:

suds-community
lxml
pillow

this is only required for the CWE deprecated subpackage


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Last synced: 7 days ago

Total Commits: 86
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Commits in past year: 19
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Avg Commits per committer in past year: 9.5
Development Distribution Score (DDS) in past year: 0.053

Name Email Commits
Frank Boerman f****k@f****l 75
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Total pull requests: 8
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Top Issue Authors

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Package metadata

pypi.org: jao-py

A python API wrapper for JAO.eu

  • Homepage: https://github.com/fboerman/jao-py
  • Documentation: https://jao-py.readthedocs.io/
  • Licenses: MIT
  • Latest release: 0.5.6 (published about 1 month ago)
  • Last Synced: 2025-04-27T07:30:51.608Z (1 day ago)
  • Versions: 47
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 2,028 Last month
  • Rankings:
    • Dependent packages count: 10.026%
    • Downloads: 12.044%
    • Forks count: 12.539%
    • Average: 14.376%
    • Stargazers count: 15.575%
    • Dependent repos count: 21.694%
  • Maintainers (1)

Dependencies

jao/CWE/requirements.txt pypi
  • lxml *
  • pillow *
  • suds-community *
requirements.txt pypi
  • beautifulsoup4 *
  • lxml *
  • pandas *
  • pillow *
  • python-dateutil *
  • requests *
  • suds-community *
setup.py pypi
  • beautifulsoup4 *
  • pandas *
  • python-dateutil *
  • requests *
.github/workflows/publish-to-test-pypi.yml actions
  • actions/checkout master composite
  • actions/setup-python v1 composite
  • pypa/gh-action-pypi-publish master composite
  • svenstaro/upload-release-action 2.2.1 composite
.github/workflows/run-tests.yml actions
  • actions/checkout master composite
  • actions/setup-python v4 composite

Score: 12.05844232852615