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Utility functions for data transfer of FMU data with rich metadata, for REP, SUMO, etc

License: Apache License 2.0

Shell 0.32% Python 99.50% Dockerfile 0.17%

fmu-dataio-dbs's Introduction

fmu-dataio

linting Code style: black PyPI version PyPI - Python Version PyPI - License ReadTheDocs

fmu-dataio is a library for handling data flow in and out of Fast Model Update workflows. For export, it automates the adherence to the FMU data standard โœ… including both file and folder conventions as well as richer metadata ๐Ÿ”– for use by various data consumers both inside and outside the FMU context via Sumo.

fmu-dataio is designed to be used with the same syntax in all parts of an FMU workflow, including post- and pre-processing jobs and as part of ERT FORWARD_MODEL, both inside and outside RMS.

๐Ÿ‘‰ Detailed documentation for fmu-dataio at Read the Docs. ๐Ÿ‘€

fmu-dataio is also showcased in Drogon. ๐Ÿ’ช

Data standard definitions

Radix

The metadata standard is defined by a JSON schema. Within Equinor, the schema is available on a Radix-hosted endpoint โšก

Installation

Install a specific version (e.g. 1.2.3) directly from github through:

pip install git+ssh://[email protected]/equinor/[email protected]

Local development and testing:

Make your own fork of fmu-dataio and then clone it locally on unix. Create a virtual environment:

python -m venv my_venv

Activate the venv:

source my_venv/bin/activate

Upgrade pip and install fmu-dataio from the source:

pip install --upgrade pip
pip install -e .

Install requirements for running tests:

pip install -e .[tests,docs]

Then run the command:

pytest

fmu-dataio-dbs's People

Contributors

jcrivenaes avatar perolavsvendsen avatar berland avatar alifbe avatar daniel-sol avatar rwiker avatar sago64 avatar adnejacobsen avatar maninfez avatar

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