Giter Club home page Giter Club logo

pokeapi's Introduction

PokéAPI build status License

Backers on Open Collective Sponsors on Open Collective

A RESTful API for Pokémon - pokeapi.co

Fair use policy

PokéAPI is open and free to use. However, we will ban IP addresses that abuse this privilege. This API is used primarily for educational purposes, and we do not want people inhibiting the education of others. See the fair use guide on the docs for more information. Moreover, we strongly suggest to cache request made, see the Wrapper section below.

Join Us On Slack!

Have a question or just want to discuss new ideas and improvements? Hit us up on slack. Consider talking with us here before creating new issue. This way we can keep issues here a bit more organized and helpful in the long run. Be excellent to each other 😄

Sign up easily!

Once you've signed up visit PokéAPI on Slack

Donations

Help to keep PokéAPI running! If you're using PokéAPI as a teaching resource or for a project, consider sending us a $10 donation to help keep the server up. We get over 2 million requests a month and it's quite costly!

Thank you to all our backers! Become a backer

Sponsors

Ask your company to also support this open source project by becoming a sponsor.

Official Wrappers

Setup pyVersion37

  • Download this source code into a working directory.

  • Install the requirements using pip:

make install

This will install all the required packages and libraries for using PokeAPI

  • Set up the local developer environment using the following command:
make setup
  • Run the server using the following command:
make serve

Visit localhost:8000 to see the running website!

If you ever need to wipe the database use this command:

make wipe_db

Database setup

Start Django shell

python manage.py shell --settings=config.local

Run the build script with

from data.v2.build import build_all
build_all()

Each time the build script is run, it will iterate over each table in the database, wipe it, and rewrite each row using the data found in data/v2/csv.

In informal tests on a Windows PC with a SSD and a 2.50 GHz processor, building against a PostgresQL database took approximately 6 minutes, and building against a SQLite database took about 7.5 minutes or longer, with some varying results.

The option to build individual portions of the database was removed in order to increase performance of the build script.

Docker Compose

There is also a multi-container setup, managed by Docker Compose. This setup allow you to deploy a production-like environment, with separate containers for each services.

Start the process using

docker-compose up --build

You can specify the -d switch to start in detached mode. This will bind port 80 and 443. Unfortunately, unlike the docker command, there is no command line arguments to specify ports. If you want to change them, edit the docker-compose.yml file.

After that, start the migration process

docker-compose exec app python manage.py migrate --settings=config.docker-compose

And then, import the data using the shell

docker-compose exec app python manage.py shell --settings=config.docker-compose

Then use the build_all() method in the shell to populate the database.

from data.v2.build import build_all
build_all()

Browse localhost/api/v2/ or localhost/api/v2/pokemon/bulbasaur/

For the moment, this setup doesn't allow you to use the scale command.

Docker (obsolete)

The application can be built and run as a Docker container for easy deployments

From the root directory of the cloned repo

docker build -t pokeapi .

Run the container on host port 8000

docker run -d -p 8000:8000 pokeapi

Contributing

This project exists thanks to all the people who contribute. [Contribute]. All contributions are welcome: bug fixes, data contributions, recommendations.

Please see the issues on GitHub before you submit a pull request or raise an issue, someone else might have beat you to it.

To contribute to this repository:

  • Fork the project to your own GitHub profile

  • Download the project using git clone:

    git clone [email protected]:<YOUR_USERNAME>/pokeapi.git
  • Create a new branch with a descriptive name:

    git checkout -b my_new_branch
  • Write some code, fix something, and add a test to prove that it works. No pull request will be accepted without tests passing, or without new tests if new features are added.

  • Commit your code and push it to GitHub

  • Open a new pull request and describe the changes you have made.

  • We'll accept your changes after review.

Simple!

DEPRECATION

As of October 2018, the v1 API has been removed from PokéAPI. For more information, see pokeapi.co/docs/v1.html.

pokeapi's People

Contributors

zaneadix avatar phalt avatar cmmartti avatar sargunv avatar naramsim avatar porocyon avatar nimaje avatar m-zuber avatar relrod avatar simylo avatar theoperatore avatar kronopt avatar orangecrush avatar ajimenezucla avatar sh0hei avatar lmerotta avatar theirondev avatar mtslzr avatar bdchauvette avatar thisisareku avatar xbony2 avatar sentwistler avatar didii avatar dependabot[bot] avatar darkcl avatar xdamman avatar anchetawern avatar tdmalone avatar tasadurian avatar rdavid1099 avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.