CS373 - IDB Group 10

Swestaurants

Transcript

1. AustinFoodFor.Me CS373IDB Group 10 - A bold flavor of website
2. About - SWEstaurant group - Database of Restaurant, Location and Category information - Use Cases - Finding delicious Austin Restaurants
3. Team - Alex Brockunier - Database design/setup - Python/RESTful API support - Team Leader Phase 2 - Tomas Gonzalez - UML Design - Website Design - Angel Xiao - Graphics design - Website design - Team Leader Phase 3 - An-Yi Yu - Website Design - Website Templates - About Page Maintenance - Zachary Sanders - Docker/Carina deployment and hosting - Search Capability Whoosh integration - Team Leader Phase 1 - Little bit of everything else
4. Model
5. API - Provide RESTful API endpoints for accessing our data - /api - Ability to get all information about a particular model in JSON - /api/restaurant - /api/location - /api/category - Ability to get all information about an individual entry model ID in JSON - /api/restaurant/<id> - /api/location/<id> - /api/category/<id>
6. Tool Usage and Resources Source info/API: Apiary, Yelp Backend: SQLAlchemy, Flask, MySql, Python3, Whoosh Frontend: AngularJS, Flask Templating, Bootstrap, Google Map Source Control/Collaboration: Git, Github, Slack
7. Demo page <Now we’ll demo our site for you…> <Splash> <Model pages> <Search> <About/Tests>
8. Critique of Binary Gamers - What’s good about the app? - Consistent styling and interface, very tight - Welcoming splash screen - I LOVE VIDEO GAME TRIVIA - What did we learn from using the app? - Live filtering through AngularJS - The highest rated game is from the 80s - What could be improved about the app - Put more entries per page, pagination has few entries - Missing padding on the sides of the main body, other places - Filter doesn’t highlight like search does - Puzzling aspects - Why use Year as a major UML class instead of Genre? - Where’s Halo???
9. Our own critique - What’s good about our app - Fast and responsive - Consistent appealing design - Searching data is flexible and intuitive - What did we learn from creating the app - Docker (well… sort of) - Python Flask application - Website design (HTML/CSS) - RESTful API design - Indexing data in order to search it - What could be improved about our app - Needs more entries for the models to reflect the large amount of food in Austin - Could use more images for each restaurant - Table do not scale down in mobile mode - Puzzling aspect(s) - Docker - Carina - Whoosh indexing
10. Statistics Total commits: 158 Total issues: 65 - Open: 4 - Closed: 61 Total unit tests: 35