Skip to content
This repository has been archived by the owner on Aug 29, 2019. It is now read-only.

A simple backend to help you get up and running with mock data for flight data, travel info, and reservations to help you get hacking on the next big thing for American Airlines

License

Notifications You must be signed in to change notification settings

AmericanAirlines/AA-Mock-Engine

Repository files navigation

Deploy

AA Mock Engine

A simple backend to help you get up and running with mock data for flight data, travel info, and reservations to help you get hacking on the next big thing for AmericanAirlines.

Deploying to Heroku

Click the "Deploy to Heroku" button above to create an instance of the application in Heroku. You can use this instance for web and native app projects. After deploying, open the app and you will be redirected to the Swagger docs.

Note: if you plan to make changes to the backend, fork this repo before deploying to Heroku!

Edit/Modify DB Data

If you would like to edit/modify data in your mLab MongoDB instance, navigate to your project's dashboard, click "Resources" and click the "mLab MongoDB" link. From their website, you can view collections, search for documents, and add/edit documents.

If you'd like to connect to your DB with a Mongo Client (Like Robo 3T), navigate to your Heroku instance's settings tab, click "Reveal Config Vars" and then grab your credentials and config values from the URL with the following format: mongodb://[User]:[Pass]@[Hostname]:[Port]/[DB Name].


Mock Data

To populate the DB with mock data (users, flights, airports) (Note: you must create reservation data, no mock reservations are included), navigate to SwaggerUI (/docs) and execute the /createMockData post request. Note: mock data population can take some time, especially if you're running in Heroku.

After starting the import process, you can see progress by navigating to your app's dashboard and then selecting "View Logs" from the "More" dropdown or check your app process output when running locally.

Swagger

Starting the app will let you investigate the API via Swagger by utilizing the interactive methods found at /docs. You can examine different endpoints to see their request/response structure and retrieve/create data.

To add new endpoints or modify existing ones, use Swagger Editor (run swagger project edit from the project root after installing Swagger globally with npm install swagger -g) to modify api/swagger/swagger.yml. To execute commands from the Swagger Editor, uncomment the host declaration under basePath.


Running Locally

Dependencies

  1. Run npm install to download all project devDependencies
  2. Install MongoDB

Configuration

If you would like to customize the port, duplicate .env.sample and modify the value for PORT. Changes to this file require the app to be restarted

Before the app can be run locally, edit api/swagger/swagger.yml and uncomment http under schemes.

Start the App

After installing all dependencies and starting the MongoDB daemon (mongod --dbpath=./data or npm run db), simply run npm start to start the application.

Developing Locally

To run the app in dev, run npm run dev from one shell tab and npm run db in another. The first task will start the app and then monitor for changes via Nodemon. When a change is detected, Nodemon will restart the application. The second task will start the Mongo daemon.

Contributing

Find a bug? Have a feature you'd like to request? See our Contributing Guidelines to get started.

Wat

About

A simple backend to help you get up and running with mock data for flight data, travel info, and reservations to help you get hacking on the next big thing for American Airlines

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published