Skip to main content

Python implementations of many OpenEO processes, dask-friendly by default.

Project description

OpenEO Processes Dask

Poetry PyPI - Status PyPI PyPI - Python Version codecov

openeo-processes-dask is a collection of Python implementations of OpenEO processes based on the xarray/dask ecosystem. It is intended to be used alongside with openeo-pg-parser-networkx, which handles the parsing and execution of OpenEO process graphs. There you'll also find a tutorial on how to register process implementations from an arbitrary source (e.g. this repo) to the registry of available processes.

Installation

Install this project via pip:

pip install openeo-processes-dask

Note that by default this only installs the json process specs. In order to install the actual implementations, add the implementations extra:

pip install openeo-processes-dask[implementations]

A subset of process implementations with heavy or unstable dependencies are hidden behind these further build variants:

  • openeo_processes_dask/process_implementations/ml: pip install openeo-processes-dask[ml]
  • openeo_processes_dask/process_implementations/experimental: pip install openeo-processes-dask[experimental]

Development environment

openeo-processes-dask requires poetry >1.2, see their docs for installation instructions.

To setup the python venv and install this project into it run:

poetry install --all-extras

To add a new core dependency run:

poetry add some_new_dependency

To add a new development dependency run:

poetry add some_new_dependency --group dev

To run the test suite run:

poetry run python -m pytest

Note that you can also use the virtual environment that's generated by poetry as the kernel for the ipynb notebooks.

Pre-commit hooks

This repo makes use of pre-commit hooks to enforce linting & a few sanity checks. In a fresh development setup, install the hooks using poetry run pre-commit install. These will then automatically be checked against your changes before making the commit.

Specs

The json specs for the individual processes are tracked as a git submodule in openeo_processes_dask/specs/openeo-processes. The raw json for a specific process can be imported using from openeo_processes_dask.specs import reduce_dimension.

To bump these specs to a later version use: git -C openeo_processes_dask/specs/openeo-processes checkout <tag> git add openeo_processes_dask/specs/openeo-processes

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openeo_processes_dask-2023.10.6.tar.gz (142.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

openeo_processes_dask-2023.10.6-py3-none-any.whl (254.9 kB view details)

Uploaded Python 3

File details

Details for the file openeo_processes_dask-2023.10.6.tar.gz.

File metadata

  • Download URL: openeo_processes_dask-2023.10.6.tar.gz
  • Upload date:
  • Size: 142.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.11.5 Linux/6.2.0-1012-azure

File hashes

Hashes for openeo_processes_dask-2023.10.6.tar.gz
Algorithm Hash digest
SHA256 c42817b35f85c55447433cafc895d3177fad0c30ad5d5d231e6a2085f7865f5f
MD5 48ad6f6875d560a5a20ab1267ad09ed6
BLAKE2b-256 c6c118472f392bfc9f14d21fc759f376a32226a39bdca1c8c6195c85dbfc678f

See more details on using hashes here.

File details

Details for the file openeo_processes_dask-2023.10.6-py3-none-any.whl.

File metadata

File hashes

Hashes for openeo_processes_dask-2023.10.6-py3-none-any.whl
Algorithm Hash digest
SHA256 26ff0fb0309cf1c27067567240139f87763721994cc98977f7f7d662fc7ab6c6
MD5 633c4c304f6522517e0f2d42deba0bce
BLAKE2b-256 f14b7ea3a71ddaee4948e00cb96943ba0d2e1c8f424d28367079765b9fdd2f0d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page