1. Create Python Virtual Env and activate

python3 -m venv my_project_env
source my_project_env/bin/activate

2. Install dependencies

pip install -r requirements.txt

3. File structure:

code.py Parses YAML file and generates python code based off specified jinja2 template

fake.py Output from code generator that contains dataclass containing logic for data.

*.yaml Contains our dataset schema/defined logic

/templates Contains our jinja2 templates to generate code

/utils Contains our utility class for datagenerator

/helper Contains our static datasets used during dataset generation process

4. Generate Workflow

• Create/Update existing YAML file
• Run code.py to generate python dataclass code which outputs our fake.py file

python code.py

• Run fake.py to generate our actual data

python fake.py