This project endeavors to create a searchable, robust representation of the Pokeapi.co data for use in personal projects. I find I often want an interesting, large dataset in which to experiment with when learning new frontend frameworks, and I have absolutely loved using the Pokeapi for those projects. However, there are a few limitations, as in the inability to perform a simple searches based on Pokemon names or other attributes directly from the Pokemon endpoint. This project adds some of those features, as well as simplifies the data structure to one more in tune with my own tastes.
- Create a virtual environment with python3:
python3 -m venv pokeapi - Clone in this repository:
cd pokeapi && git clone https://github.com/jmbarne3/py-pokeapi src - Activate the virtual environment and install requirements:
cd src && source ../bin/activate && pip install -r requirements.txt - Copy
pokeapi/settings_local.templ.pytopokeapi/settings_local.pyand update values as needed. - Run initial migrations and import data:
python manage.py setup - Launch the API locally:
python manage.py runserver
A number of custom management commands have been created to help manage the project.
The initial setup of the project (or subsequently during deployment) using the setup command:
python manage.py setup
This will migrate the database and collect static assets.
In order to pull in the data from Pokeapi.co, you can run the import-pokeapi command:
python manage.py import-pokeapi [--pokeapi-url=https://pokeapi.co/api/v1] [--max-threads=5]
This will pull in all the pokemon within the dataset and usually takes around 60 seconds in its current form.