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GTFO-FE

image

Table of Contents

plane

What it does/Demo

This project part of a Service-Oriented Architecture (SOA) application that provides users with flight and weather information based on search parameters that the user provides. The GTFO-FE serves as the user facing part of the application that a user can interact with. A user provides information through a form and is returned flight and weather information. The front end aplpication makes a call to the backend application, which in turn calls the Weather and Flight APIs and combines the data from both APIs into one JSON package to send to the front end.

To view the production site, please visit the GTFO link.

To view the other components of the application please visit the Github Project Organization.

Demo

SOA System Design: Screen Shot 2021-01-14 at 8 47 13 AM

Miro Board used for planning.

Database Architecture: GTFO_DBA

API Endpoints pulled from backend

The app uses this request-response sequence:

  1. The frontend calls the backend with information about a search for flights
  2. The backend retrieves the data, and returns an id for the type of call it was, like so: Call to backend: https://gtfo-be.herokuapp.com/api/v1/search?departure_airport=DEN&departure_date=30/01/2021&trip_duration=3&limit=20
```    
{
  "data": {
    "request_id": 6
  }
}
```
  1. The frontend then calls the backend endpoint for the type of data it gets back, and gets the data back, like so:

    Call to backend: https://gtfo-be.herokuapp.com/api/v1/requests/6

"data": {
      "id": "6",
      "type": "request",
      "attributes": {
          "id": 6,
          "updated_at": "2021-01-14T08:13:40.285Z"
      },
      "relationships": {
          "trips": {
              "data": [
                  # References to trip objects
              ]
          }
      }
  },
  "included": [
                  # Actual trip object data, including weather
                  # ex:
                  
                  {
          "id": "0",
          "type": "trip",
          "attributes": {
              "origin_city": "Denver",
              "destination_city": "Las Vegas",
              "origin_iata": "DEN",
              "destination_iata": "LAS",
              "latitude": 36.08,
              "longitude": -115.15222,
              "price": 47,
              "departure_datetime": "2021-01-30T22:55:00.000+00:00",
              "arrival_datetime": "2021-01-30T23:58:00.000+00:00",
              "r_departure_datetime": "2021-02-04T06:30:00.000+00:00",
              "r_arrival_datetime": "2021-02-04T09:27:00.000+00:00",
              "booking_link": "https://www.kiwi.com/deep?from=DEN&to=LAS&flightsId=0713244648e100007b61b321_0%7C2446071348e60000bac08674_0&price=39&passengers=1&affilid=picky&lang=en&currency=USD&booking_token=BbkOXQKh-FnCWsmM58Mqtup98vx0wZPY5t5XrfnC5lbzioic-vVkE9feAF0vfzRF1HwNzrIWC7qG6KlS9Gupb05SlCWsm_nIxE9SYdS1god-08hkM-ISgFgM5X2nZC4NOszegqwPCwVVg8_apm0qlOwB17b8VCvM1BMGAEAZxsyoRNSCPLHpABvs2qeKQbbEXuYGFu-00ifs2vadBWVoyRZlBTIHhku2PJTtA7pIT5AjKO17NK6m9em3CrXSdV7oozuzVtu7MWtb8oyZdRmI-Xs5DI1YsV6Su6VKPWF-aZx6AS2P_60sNVDUDn3ZuskOmBZ1t1bqVXQYzSaDixyfFm3Ydq8JYRKduLp6Oxy8PUcovkqH4xedo-tkTyknLqbbstEJDBMGZL5vJf2m9kM2QET3Ca3xVqWY-M1mU8VNIMhmMFpZOyo0hSGIeVHBElUVP64FCPc1UdXEe36r0r-wgZeHMpTqXATnEtr3lwJzgbxbF4elDQ6IoUuHjrOyQUofqmCbwZ1hwWHgmy7KENlwhcsm3HhxpOnxWGS7JaIeU2k6YiQxB6Vh-DNalZV1zI8Yhj9OgM15qX-gclx8vBQKi12JExb-UV0tl7mMSaHqtoaqOpr3RBCkTOtWBz6r7CI-loOeBKV4lJYAvrdjBKvRNqAI_r-HrpIkujW4H76mjz1IWHoBH9zejN-KpAoCiJBdEr3PhM-oTfOZroJbMzTQ74g==",
              "trip_duration": 5,
              "flight_id": 775,
              "min_f": 35.57000000000005,
              "max_f": 49.110000000000014,
              "min_c": 3.57000000000005,
              "max_c": 17.110000000000014,
              "day_feels_like_f": 44.110000000000014,
              "day_feels_like_c": 12.110000000000014,
              "description": "clear sky",
              "weather_date": "2021-01-13T19:00:00+00:00",
              "sky_coverage": 10,
              "weather": [
                  {
                      "type": "weather",
                      "id": null,
                      "attributes": {
                          "min_f": 35.57000000000005,
                          "max_f": 49.110000000000014,
                          "min_c": 3.57000000000005,
                          "max_c": 17.110000000000014,
                          "day_feels_like_c": 12.110000000000014,
                          "day_feels_like_f": 44.110000000000014,
                          "description": "clear sky",
                          "date": "2021-01-13T19:00:00+00:00",
                          "sky_coverage": 10
                      }
                  },
                  # there will be 8 days worth of weather forecast here
              ]
          }
      }
  ]
}
                  

  1. The frontend parses the data, and displays the results on the page for the user.

How to Install GTFO-FE

GTFO-FE is hosted on Heroku, where you'll be able to view its functionality to the fullest.

For usage on your local machine follow the instructions listed below:

git clone [email protected]:GetThatFlightOut/GTFO-FE.git
cd GTFO-FE
bundle install
rake db:{create,migrate}
firgaro install
# Setup ENV Variables in application.yml: 
# BACKEND_URL: "http://localhost:3000" (or "https://gtfo-be.herokuapp.com to connect to BE server)
# GOOGLE_CLIENT_ID: YOUR-GOOGLE-CLIENT-ID
# GOOGLE_SECRET: YOUR-GOOGLE_SECRET_KEY
# WEBMOCK: 'true' (or false to test against backend connection server)
rails server
visit localhost:3000 in your web browser

Dependencies

  • We used Rails version 5.2.4.4

  • We used the Faraday Gem to make calls to our API service.

  • We used the Figaro Gem to keep confidential information like API keys secure.

  • The SimpleCov gem was used to ensure that we covered 100% of our code with unit testing.

Testing

Webmock is used for testing and can be toggled with the environment variable WEBMOCK, set as string 'true' or 'false'.

Adding tests with http mocks can be done by wrapping the stub in an if statement,

if ENV['WEBMOCK'] == 'true'
  #code
end

Our testing addresses a number of sad paths including:

Lucky Location Search Returning No Results gtfo_luck_no_trips

Flights Show Path with Invalid/Expired ID gtfo_bad_path

Search Locations Search Returning No Results gtfo_no_trips_standard

Learning Goals

  • Consume external APIs

  • Build API's that return JSON responses

  • Refactor code for better code for improved organization/readability

  • Practice project management with project boards/daily standups/group retros

  • Utilize workflow: small commits, descriptive pull requests and code review

  • Write thorough and understandable documentation

Licenses

  • Ruby 2.5.3
  • Sinatra

Contacts

Todd Estes: LinkedIn, Email, GitHub

Connor Ferguson: LinkedIn, Email, GitHub

George Soderholm: LinkedIn, Email, GitHub

Sage Freeman-Gonzales: LinkedIn, Email, GitHub

Sheryl Stillman: LinkedIn, Email, GitHub

Aidan Murray: LinkedIn, Email, GitHub

Jesse Mellinger: LinkedIn, Email, GitHub

Nick King: LinkedIn, Email, GitHub

Brian Liu: LinkedIn, Email, GitHub

Will Dunlap: LinkedIn, Email, GitHub

Acknowledgments

Thank you to Alyssa Bull LinkedIn and Bailey Dunning LinkedIn for your advice and help on styling!

And thank you to Ian Douglas and Dione Wilson for being such amazing instructors and guiding us through this project!

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