Skip to main content

Ruff

DSP-TOOLS Documentation

DSP-TOOLS is a Python package with a command line interface that helps you interact with a DSP server. A DSP server is a remote server or a local machine where the DSP-API is running on.

To install the latest version, run:

pip3 install dsp-tools

To update to the latest version run:

pip3 install --upgrade dsp-tools

The two main tasks that DSP-TOOLS serves for are:

  • Create a project with its data model(s), described in a JSON file, on a DSP server
    In order to archive your data on the DaSCH Service Platform, you need a data model that describes your data. The data model is defined in a JSON project definition file which has to be transmitted to the DSP server. If the DSP server is aware of the data model for your project, conforming data can be uploaded into the DSP repository.
  • Upload data, described in an XML file, to a DSP server that has a project with a matching data model
    Sometimes, data is added in large quantities. Therefore, DSP-TOOLS allows you to perform bulk imports of your data. In order to do so, the data has to be described in an XML file. DSP-TOOLS is able to read the XML file and upload all data to the DSP server.

All functionalities of DSP-TOOLS revolve around these two basic tasks.

DSP-TOOLS provides the following functionalities:

  • dsp-tools create creates the project with its data model(s) on a DSP server from a JSON file.
  • dsp-tools get reads a project with its data model(s) from a DSP server and writes it into a JSON file.
  • dsp-tools xmlupload uploads data from an XML file (bulk data import) and writes the mapping from internal IDs to IRIs into a local file.
  • New workflow for xmlupload:
  • dsp-tools resume-xmlupload resumes a previously interrupted xmlupload or ingest-xmlupload.
  • dsp-tools excel2json creates an entire JSON project file from a folder with Excel files in it.
    • dsp-tools excel2lists creates the "lists" section of a JSON project file from one or several Excel files. The resulting section can be integrated into a JSON project file and then be uploaded to a DSP server with dsp-tools create.
    • dsp-tools excel2resources creates the "resources" section of a JSON project file from an Excel file. The resulting section can be integrated into a JSON project file and then be uploaded to a DSP server with dsp-tools create.
    • dsp-tools excel2properties creates the "properties" section of a JSON project file from an Excel file. The resulting section can be integrated into a JSON project file and then be uploaded to a DSP server with dsp-tools create.
  • dsp-tools new-excel2json does the same as the old excel2json command, but the Excel format for the lists section has been adapted.
  • dsp-tools excel2xml transforms a data source to XML if it is already structured according to the DSP specifications.
  • The module excel2xml provides helper methods that can be used in a Python script to convert data from a tabular format into XML.
  • dsp-tools id2iri takes an XML file for bulk data import and replaces referenced internal IDs with IRIs. The mapping has to be provided with a JSON file.
  • dsp-tools start-stack / stop-stack assist you in running a DSP stack on your local machine.
  • dsp-tools template creates a template repository with a minimal JSON and XML file.
  • dsp-tools rosetta clones the most up to date rosetta repository, creates the data model and uploads the data.

Metadata

Release files for dsp-tools 9.2.0.post18

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dsp-tools 9.2.0.post18
File Size Uploaded Provenance
dsp_tools-9.2.0.post18.tar.gz 8.6 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for dsp-tools 9.2.0.post18
File Interpreter ABI Platform
dsp_tools-9.2.0.post18-py3-none-any.whl Python 3 none any Details

Total release size: 8.9 MB

Release files / dsp_tools-9.2.0.post18.tar.gz

Download URL dsp_tools-9.2.0.post18.tar.gz
Size 8.6 MB
Tags Source
SHA-256 checksum
How to use checksums
0ac840bc18bf4861ff297ca9ec970dbe7e6116117d5be224a6d308fa6945823f
BLAKE2b-256 checksum
How to use checksums
17a1f90cf243139568ba94c7d5de99d0b6319315d6b2bade09a71e415e6ba357
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.5

Release files / dsp_tools-9.2.0.post18-py3-none-any.whl

Download URL dsp_tools-9.2.0.post18-py3-none-any.whl
Size 307.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6f361b69e333e5981190f398c298e0575076e91384013aeac1c06f3f30429e8a
BLAKE2b-256 checksum
How to use checksums
6584b8105172595e1c44439d302bb2903acb612545f1fb464d19ba87d626ba86
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.5

Security for dsp-tools 9.2.0.post18

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page