Model driven genration - from UML to Code & Docs
Project description
pyMDG
Overview
Parser and tools to manipulate UML models. Initial version uses Sparx EA Generated XMI 2.1 Can be used to parse XMI file passed to jinja2 templates for generation of code (POJO, POCO, Django etc), JSON data and HTML documentation.
Test
Standard testing:
python -m unittest
To generate code a sample recipie folder is provided:
python generate.py
Or once installed into site-packages use a little python script:
from mdg import generator
generator.parse('{folder}')
The recipie folder must have a config.yaml file which specifies templates and output. See the sample config for examples
Export Process
- In Sparx select the domain root node (e.g. Model/Sample )
- Select the publish tab at the top
- Select Publish As... from top menu
- Set export type as XMI 2.1
- Optionally select 'Export Diagrams', 'Generate Diagram Images' and PNG format
- Export to folder where you want to generate from
Wiki documentation upload
If your generation recipie has created a file for your wiki (Confluence) then an uploader utilitity can be used. This assumes that you have done the XMI export from Sparx EA with export diagrams and generate diagram images. To generate a confluence token please see: https://confluence.atlassian.com/cloud/api-tokens-938839638.html
python confluence.py {your email} {your confluence token} {confluence page id} {path to images}
Nomenclature:
This diagram shows all the features and how to model in UML
Sample model
Metamodel
This diagram shows the internal classes which are passed to the templates during generation.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.