DSP-TOOLS is a Python package with a command line interface that helps you interact with a DaSCH service platform (DSP) server.
Project description
DSP-TOOLS Documentation
Installing dsp-tools
To install the latest version, run:
pip3 install dsp-tools
To update to the latest version run:
pip3 install --upgrade dsp-tools
🚨 If your Python version is older than ours, pip will silently install an outdated version of DSP-TOOLS.
DSP-TOOLS requires one of these Python versions:
The most recent version of DSP-TOOLS is
The dsp-tools package provides you with functionalities in the command line
to interact with the DSP-API, both remote and locally.
Additionally, it contains the xmllib which helps you construct the XML file required for a mass upload.
Where To Start?
dsp-tools provides you with the following core functionalities.
- Running a Local Stack: If you want to run your own DSP stack locally, take a look here.
- Data Modelling: There are several ways to create a data model with
dsp-tools- Take a look at the technical specification for the JSON file.
- Or take a look at our tool to convert Excel files into the JSON format.
- You can create a data model on the DSP-APP. To re-use that data model on another server you can use the CLI command described here.
- Data for Mass-Upload:
- If you want to create the XML file required for a mass-upload onto DSP, take a look at the
xmllib. - You can find an in-depth explanation of our XML file format here.
Please note, that we recommend to use the
xmlliblibrary to create the file as we will ensure interoperability between the DSP-API requirements and your input. - If you want to validate and upload your XML file take a look here. Please note, that only DaSCH employees are permitted to upload data on a production server.
- If you want to create the XML file required for a mass-upload onto DSP, take a look at the
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