topdesk-synthetic-data
A tool to generate dummy data to simulate TOPdesk ticket data exports.
Science Score: 52.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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✓Institutional organization owner
Organization rcgsheffield has institutional domain (www.sheffield.ac.uk) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.8%) to scientific vocabulary
Keywords
Repository
A tool to generate dummy data to simulate TOPdesk ticket data exports.
Basic Info
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
TOPdesk synthetic data generator
A tool to generate dummy data to simulate TOPdesk ticket data exports. TOPdesk is a ticketing system for support services to manage user support queries.
The algorithms used to produce these synthetic data is random and not sourced from any real support requests. This tool uses the Faker library, with is a framework in the Python programming language used to generate dummy data.
Installation
- Install Python
- Create a virtual environment
bash
python -m venv .venv
- Install this package
bash
pip install git+https://github.com/rcgsheffield/topdesk-synthetic-data.git
Usage
Once installed, run topdesk-synthetic-data in the command line.
bash
topdesk-synthetic-data --help
```
usage: topdesk-synthetic-data [-h] [--loglevel LOGLEVEL] [--numrecords NUMRECORDS]
TOPdesk synthetic data generator
options: -h, --help show this help message and exit --loglevel LOGLEVEL --numrecords, -n NUMRECORDS
```
Example
bash
topdesk-synthetic-data -n 100
Contributing
Please read the contribution guide.
Owner
- Name: IT Services Research & Innovation team at the University of Sheffield
- Login: rcgsheffield
- Kind: organization
- Location: Sheffield, UK
- Website: https://www.sheffield.ac.uk/it-services/research
- Twitter: RIT_Sheffield
- Repositories: 12
- Profile: https://github.com/rcgsheffield
Citation (CITATION.cff)
cff-version: 1.2.0
title: TOPdesk Synthetic Data Generator
type: software
authors:
- given-names: Joe Salvador Thornhill
family-names: Heffer
email: j.heffer@sheffield.ac.uk
affiliation: University of Sheffield
orcid: 'https://orcid.org/0000-0001-8733-1117'
GitHub Events
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- Push event: 4
Last Year
- Push event: 4
Dependencies
- actions/checkout v4.2.2 composite
- actions/setup-python v5.6.0 composite
- faker ==37.*
- openpyxl ==3.*
- pandas ==2.*