Git Product home page Git Product logo

spotifind's Introduction

Spotifind

Spotifind is a Node.JS library that finds in what shows and movies a Spotify track has been featured. This is done using the Tunefind api.

Usage

In the root of your Node project run npm install spotifind

let user = /* your app user */, pass = /* your user pwd */;
const Spotifind = require('spotifind');
const spotifind = new Spotifind(user, pass);

spotifind.findFeaturings(/*track*/).then(function (results) {
    /* handle results */
});

Functions

findFeaturings(spotifyTrack)

Returns a promise that resolves to an object that contains a movies and a shows array containing the information of such featurings. The spotifyTrack argument must be a track exactly as returned from the Spotify Web API. Can be either simple or regular track object, since all that's required from it is the artists array and the name.

Testing

Spotifind uses Jasmine for testing. The test script runs all the tests, including integration tests. For the integration tests to run succesfully you need to provide your own API keys in a api-keys.json file in the root of the folder of this project. This file is already ignored in .gitignore.

Known issues

As of May 2017 Tunefind has not planned a release for a search endpoint and searching sequentially on the /artist endpoint of the API is too slow. For those reasons Spotifind relies on inferring the id of an artist from their name. This does not work in all cases. Two examples are in this project in the form of failing unit tests.

spotifind's People

Contributors

pedro-otero avatar

Watchers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.