@saeris/yotsuba-api
v1.0.0
Published
A GraphQL API wrapper for 4chan built with Apollo Data Sources
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🛠️ Setup
Install dependencies by running yarn
. That's it!
If you want to track usage metrics for your API, you'll need to get an API key from Apollo Graph Manager. For instructions on how to do that, please read the Apollo Graph Manager docs. Then create a new file in the root directory named .env
. In it, copy + paste the following and replace the text following the =
sign with your newly create API key.
ENGINE_API_KEY=<insert your apollo graph manager api key here>
Once that's done, you can now start up a development server using yarn start
. By default this will use Serverless Offline, but if you would instead like to use Netlify Lamba, you can run yarn start:netlify
instead. Once the development server is listening, you can pull up a GraphQL Playground by visiting one of the following URLs:
Lambda: http://localhost:1337/dev Netlify: http://localhost:1337/.netlify/functions/yotsuba-api
🕹️ Demo
You can try out the API using the GraphQL Playground hosted at https://yotsuba-api.saeris.io/.netlify/functions/yotsuba-api
🧪 Testing
Testing is provided via jest
and is pre-configured to run with codecov
as well. While tests for this project are far from complete, they can be found under src/__TEST__
and follow a naming format of [filename].spec.ts
. Additionally, this project uses eslint
, typescript
, and prettier
, all three of which are automatically run on each commit via husky
+ lint-staged
. To manually lint and test, use the following commands:
Lint:
yarn lint
Typecheck:
yarn typecheck
Test and watch for changes:
yarn test:watch
Lint + Typecheck + Test:
yarn test
🚢 Deployment
To deploy the server, you'll need to follow the Serverless Framework's Setup Guide to deploy to AWS. If you'd rather use Netlify, you'll need to follow whichever method works best for your workflow. Refer to Netlify's Docs for more information.
If you're deploying to AWS, you can use the following commands to deploy to Staging or Production:
Staging:
yarn deploy
Production:
yarn deploy:prod
Alternatively, if you're using Travis CI, you can deploy to both on each commit as part of your CI process by uncommenting the following lines inside travis.yml
:
deploy:
# deploy develop to the staging environment
- provider: script
skip_cleanup: true
script: yarn deploy:dev
on:
node: "12"
branch: develop
# deploy master to production
- provider: script
skip_cleanup: true
script:
- yarn deploy:prod
on:
node: "12"
branch: master
🥂 License
Released under the MIT license.