Skip to main content

A generic pipeline that can be used to map raw data to RDF.

Project description

data2rdf

A pipeline for generating data representation in RDF out of raw data given in ASCII, CSV, JSON or EXCEL format.

https://data2rdf.readthedocs.io/en/latest/

Coverage

Coverage Report
FileStmtsMissCoverMissing
data2rdf
   init.py50100% 
   config.py2611 96%
   utils.py811 88%
   warnings.py20100% 
data2rdf/models
   init.py30100% 
   base.py5455 91%
   graph.py11977 94%
   mapping.py4511 98%
   utils.py581414 76%
data2rdf/modes
   init.py40100% 
data2rdf/parsers
   init.py60100% 
   base.py1351111 92%
   csv.py1682020 88%
   excel.py1831717 91%
   json.py2163737 83%
   utils.py901010 89%
data2rdf/pipelines
   init.py20100% 
   main.py8299 89%
data2rdf/qudt
   init.py00100% 
   utils.py421212 71%
TOTAL124814588% 

Installation

Install for using the package

Either install the package from the pypi

pip install data2rdf

Install for development

Install the package from the source code:

git clone git@github.com:MI-FraunhoferIWM/data2rdf.git
cd data2rdf
pip install -e .

Unit tests

Before running the unit tests, please install the needed packages:

pip install data2rdf[tests]

Afterwards, run the unittest with:

pytest

Building the docs locally

HTML

A server will start, generate the docs and listen for changes in the source files. This can be done by using docker or installing the development environment directly on the you machine. Next are installation guides for Docker and Linux OS.

Docker

First, build the Docker image by running the following command:

$ docker build -f docs.Dockerfile -t data2rdf-docs .

Then, start the program by running:

$ docker run -it --rm -v $PWD:/app -p 8000:8000 data2rdf-docs

Linux

At an OS level (these commands work on Linux Debian):

$ sudo apt install pandoc graphviz default-jre
$ sudo apt-get install texlive-latex-recommended \
                       texlive-latex-extra \
                       texlive-fonts-recommended \
                       latexmk

The python dependencies:

$ pip install .[docs]

Now you can start the server and render the docs:

$ sphinx-autobuild docs/source docs/build/html

The documentation will be available on http://127.0.0.1:8000.

PDF (LaTeX)

To generate a PDF of the documentation, simply run (from the root project folder):

make -C docs latexpdf

The generated PDF can be found under docs/build/latex/data2rdf_docs.pdf

Project details


Download files

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

Source Distribution

data2rdf-2.4.0.dev0.tar.gz (44.8 kB view details)

Uploaded Source

Built Distribution

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

data2rdf-2.4.0.dev0-py3-none-any.whl (73.0 kB view details)

Uploaded Python 3

File details

Details for the file data2rdf-2.4.0.dev0.tar.gz.

File metadata

  • Download URL: data2rdf-2.4.0.dev0.tar.gz
  • Upload date:
  • Size: 44.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for data2rdf-2.4.0.dev0.tar.gz
Algorithm Hash digest
SHA256 6588049e955cc1c9f069c006a45bef18d239c0b1fdfdcf056c6749e3ec3db3b2
MD5 9677242289fc17c17c28ef0d29dba2a7
BLAKE2b-256 3012b830ea7f7b055834794f5584405e114b30f2c4776337f595bd1011b4bb9c

See more details on using hashes here.

File details

Details for the file data2rdf-2.4.0.dev0-py3-none-any.whl.

File metadata

  • Download URL: data2rdf-2.4.0.dev0-py3-none-any.whl
  • Upload date:
  • Size: 73.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for data2rdf-2.4.0.dev0-py3-none-any.whl
Algorithm Hash digest
SHA256 5944df1998aaf36d2340c99d4d430bdc2342909b3fe32ca50b332dea2629393b
MD5 d9614db1a331e6c945e7d41654a3d2b3
BLAKE2b-256 a1279ac617a822005804e7c109ccc25c161a73d7a06cb07e3630af6b180c8395

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