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phoodable's Introduction

Phoodable

Phoodable is a web application that aims to help users decide a restaurant to visit by offering 2 features:

      • Regular Search: User enters term + location and relevant restaurants with their key information is returned

      • "I'm Feeling Lucky": User simply enters a location and a single restaurant with its key information is returned

Phoodable requires authentication with Facebook and uses Yelp Fusion API to help generate restaurant recommendations. Further information about this project may be found within the documentations folder of this repository.

We'll be using Django for our project, running Python 3.6

Setting up a development environment

macOS

  1. Install Git if you haven't done so already
  2. Clone this repo using git clone [email protected]:CS411F17/project.git
  3. Get Python 3.6 for your specific OS
  4. Install virtualenv; this is to avoid conflict package versions between your system python and the packages we're using for the project. Here's a good guide from Kenneth Reitz
  5. Once you've finished 4, run mkvirtualenv cs411-project -p /path/to/your/python3
  6. cd into this project repo
  7. Run pip install -r requirements.txt; this will install all of the packages, pinned to a specific version, within the requirements file.
  8. Migrate the databse schema to a sqlite file using python manage.py migrate
  9. Run python manage.py runserver; your Python app will then run on localhost:8000 in your browser

Windows

  1. Install Git if you haven't done so already; it runs using MINGW64
  2. Open Git Bash
  3. Clone this repo using git clone [email protected]:CS411F17/project.git
  4. Get Python 3.6 for your specific OS
  5. Install virtualenv; this is to avoid conflict package versions between your system python and the packages we're using for the project. Here's a good guide from Kenneth Reitz
  6. Once you've finished 4, run mkvirtualenv cs411-project -p /path/to/your/python3
  7. To workon the virtualenv, run source /path/to/virtualenv/Scripts/activate
  8. cd into this project repo
  9. Run pip install -r requirements.txt; this will install all of the packages, pinned to a specific version, within the requirements file.
  10. Migrate the databse schema to a sqlite file using python manage.py migrate
  11. Run python manage.py runserver; your Python app will then run on localhost:8000 in your browser

phoodable's People

Contributors

buinvest avatar csuksangium avatar freddiev4 avatar janelljchen avatar simenhug avatar

Watchers

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Forkers

janelljchen

phoodable's Issues

Similarity metrics

-Convert categorical data to numerical
-Computer euclidean distance between users
-Cluster users together based on similarities

*Note: Should we preemptively cluster together? or cluster upon request

Add some tests

HTML Form Tests:

  • When users enter some data into the HTML form, we want to test that our index() function handles invalidated data properly; with an error and some helpful message
  • When users enter some data into the HTML form, we want to test that we have some handler for when Yelp has no results

Design front page

Should have two different layouts:

  • One just with borders/HTML layout
  • Then fill in with colors, animations, etc

FB API Connection

We should have some code that connects to the FB API so that when people login, we're able to use their info for making suggestions

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