This project demonstrates the PStruc library usage for enhancing a project with ChatGPT's assistance. PStruc creates a pstruc_example.yaml file, which, along with specific questions, is provided to ChatGPT. The insights or enhancements suggested by ChatGPT are then used to modify the code.

The project is split into three versions, each representing a stage of development:

• version_1: Initial version with potential code issues and missing elements.
• version_2: Revised code based on ChatGPT's suggestions, improved to adhere to PEP8 guidelines.
• version_3: Further enhancements and feature additions proposed by ChatGPT.

Each version folder contains the project files and a readme.md file, detailing the ChatGPT interactions and suggested modifications. The readme.md in version_1 is empty as it's the starting point.

Note: Setting up and running the project is optional and mainly for experimentation with ChatGPT enhancements.

git clone https://github.com/nachokhan/pstruc_example.git

python -m venv .env
source .env/bin/activate

pip install -r requirements.txt

python main.py

Run the following command to generate the project structure:

pstruc -ip ".env",".git","*pycache*","*.yml","version_*","readme.md" -fc "*.py" -o pstruc_example -f yaml

• -ip: Ignores specified patterns like .env, .git, *pycache*, *.yml, version_*, and readme.md.
• -fc: Includes the content of Python files (*.py).
• -o: Sets the output file's name as pstruc_example.yaml.
• -f: Chooses YAML as the output format.

The command generates a pstruc_example.yaml file, representing the project's structure, including Python files' content while excluding the defined patterns.