TacoFancy API
Making an API for https://github.com/sinker/tacofancy
Main endpoint
The main endpoint for the API exists at:
http://taco-randomizer.herokuapp.com/
Visiting that page will also get you a random taco.
Use this data
If you’d like to take advantage of the API that was put together for this, I added a CORS header to these paths so that you can load them from a javascript app anywhere on the internet.
Random Taco
Visiting:
/random/
will get you a random Base Layer, Mixin, Condiment, Seasoning and Shell. To just get a random full taco recipe, call it thusly:
/random/?full-taco=true
Contributors
If you’d like to get info about the contributors for a certain recipe, you can call this endpoint:
/contributors/:recipe_type/:recipe_slug/
So to get the contributors for the Delengua (Beef Tounge) Base Layer, do this:
/contributors/base_layers/delengua_beef_tongue
Valid layer types are: base_layers
, mixins
, seasonings
, condiments
and shells
. To get a mapping of slugs for a given recipe type call this:
/contributors/:recipe_type/
Contributions
If you’d like to see who has made what contributions to which recipes, call this:
/contributions/:github_username/
So, to get all of Dan Sinker’s contributions, call this:
/contributions/sinker/
To get a listing of all contributors and their usernames, call:
/contributions/
Want to help?
This whole this is a relatively rudimentary Flask setup. After you pip install
the requirements, you should be able to visit /cook/
to get a DB
together. The Flask app is looking for an environmental variable DATABASE_URL
to
tell it how to connect to the database. Depending on what backend you’re using, you
might need to actually create the database, etc before it’ll work.
I developed this with sqlite but you should be able to use any backend that
SQLAlchemy supports.
You’ll also need to set GITHUB_TOKEN
as an environment variable. This is a
OAuth Token for the Github API. You can read more about how to get that going
here