cs411f17 / phoodable Goto Github PK

Save information about restaurants selected to database

https://github.com/CS411F17/project/blob/master/testapp/views.py#L93

create a b-tree index in sql db so that we can precompute what people are searching for

@janelljchen

https://github.com/CS411F17/project/blob/master/testapp/views.py#L93

x-ref #18

cs411-project\Scripts\activate
etc

Use a script to flood database with users and requests to let app work properly through recommendation

redirect to homepage

I think we should return the top 10 results; so we'll need to loop through each of the results and parse the JSON accordingly

A button next to every restaurant option, allows the user to pick that option. Then the next page confirms user's selection

I'd like to vote for pytest

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

• should have a section that says how to use it
• add a footer

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

find where's bottleneck, brainstorm ways to make it faster

Should have two different layouts:

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

-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 form of relation between users and restaurants

• number of companies
• price range
• etc

Detailed instructions on setting up django-allauth and Facebook Graph API

How stuff works, expected inputs and outputs
Where data gets stored
(technical)

Users should be able to login to the index page using FB