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Library for creating and interacting with OpenDORS datasets.

Project description

opendors

Library for creating and interacting with the OpenDORS dataset.

Installation

# Clone git repository & change into clone directory
git clone git@gitlab.dlr.de:drus_st/opendorslib.git
cd opendorslib

# Install with poetry
poetry install

If you want to use the repository workflow rule, you also need to install:

  • Ruby >= 3.4.1
  • github-linguist gem >= 9.0.0
  • licensee gem >= 9.18.0

This repository contains a definition for a conda environment that you can use to install these extra dependencies: conda-environment.yml. To install the dependencies, do:

conda create -n opendors --file conda-environment.yml
conda activate opendors
gem install github-linguist
gem install licensee

Keep the environment activated to use the repository rule.

Usage

opendors provides both an API for creating an OpenDORS dataset, and a CLI tool to interact with an OpenDORS dataset.

usage: opendors [-h] [-c] [-v] {schema,filter,stats,merge} ...

Utilities to work with OpenDORS datasets.

positional arguments:
  {schema,filter,stats,merge}
                        Available commands
    schema              Exports the JSON schema for the opendors model to 'schema.json'.
    filter              Filters a given dataset by programming language and/or before/after dates.
    stats               Gather statistics on a given OpenDORS dataset.
    merge               Merge OpenDORS datasets into a single file.

options:
  -h, --help            show this help message and exit
  -c, --compressed      Export as unindented JSON
  -v, --verbose         Print tracebacks on error

Build Python package

Run poetry build.

To publish to PyPI, run poetry publish. You need to have a PyPI API token configured to do this.

Build conda package

The conda package is configured in conda/recipe/local/meta.yaml, and reuses information from pyproject.toml.

To build package locally, run

# Update to next dev version to keep build metadata intact
poetry version 0.1.dev<n>
conda create -n condabuild conda-build git
conda activate condabuild
conda build conda/recipe/local <optional: --output-folder [FOLDER]>
# e.g.:
#  conda build conda/recipe/local --output-folder /home/stephan/src/opendors/conda-pkgs

You can then install the package in a new environment and use it:

conda create -n my-env --use-local opendors

Run tests

Tests can be run locally as follows:

poetry run python -m pytest tests/

Test coverage

Coverage (with branch coverage) can be displayed as follows:

poetry run python -m pytest tests --cov=opendors --cov-branch --cov-report=html --cov-report=term

Static code analysis

Run prospector to analyse the code.

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