Vacation-planner

command module
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Published: Feb 22, 2024 License: Apache-2.0 Imports: 12 Imported by: 0

README

Unwind

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Motivation

Travel planning is vital for a great vacation, but it can be a tedious and frustrating process. Sifting through maps and countless online resources is not only time-consuming but often yields less-than-ideal results. Juggling time and budget constraints adds another layer of complexity. Our goal is to streamline this process, empowering travelers to create unforgettable vacations that fit their budgets and schedules. Our planning APIs simplify the experience by allowing users to input their desired destination, date, and time preferences. The service then generates customized travel plans tailored to their needs. While the initial version focuses on single-day trips and generic rankings, future iterations will incorporate personalized recommendations.

Features

  • Save your favorite plans in your profile
  • View trip details
  • Make a plan yourself by creating a template

Installation (Mac)

  • git clone the repository
  • update Homebrew with brew update
  • Install Redis using Homebrew with brew install redis
    • If Redis is already installed, execute brew upgrade redis

Development

  • Obtain Google Maps API key and set the MAPS_CLIENT_API_KEY=YOUR_GCP_API_KEY, REDISCLOUD_URL=redis://localhost:6379 environment variables.
  • Set environment variable ENVIRONMENT=DEVELOPMENT,SENDGRID_API_KEY=NO_KEY as we do not create mailers in development environment.
  • Start (in background) Redis service with brew services start redis.
  • Execute go run main/main.go to start the server.

Running with Docker Compose

  • Use command docker-compose up -d to start the containers.
  • Make sure to set up environment variables REDIS_URL=redis://redis:6379 and MAPS_CLIENT_API_KEY=YOUR_GCP_API_KEY. Note that using localhost for redis URL does not work.
  • To stop the containers, use the command docker-compose stop.

Production Deployment

  • The service can be deployed on any service platform. Particularly we have configured the code base and been deploying the service to Heroku.
  • For deployment to Heroku, simply execute git push heroku master.

Future Development Plans

  • Multi-city, multi-day planning

System Integration and External Services

  • Redis
  • Google Maps API
  • GeoNames Web Services

Tech Stack

  • Backend: Golang
  • Frontend: Bootstrap and Javascript

Documentation

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