IDB

CS 373 IDB
Spring 2016

Transcript

1. http://tipsyturkey.me
2. Introduction • A web application to see information on beers, breweries, and beer styles. • Provides beer information (ABV, brewer, etc) • Search for a specific beer, beer style, or brewery location
3. Demo http://tipsyturkey.me
4. API Demo http://docs.tipsyturkey.apiary. io/#reference/breweries/brewer y-collection
5. Data Sources • BreweryDB ◦ http://www.brewerydb. com/ ◦ Provided data for beers, breweries, and beer styles ◦ Scraped data into JSON format
6. Data Models
7. Tools Used • Bootstrap, Sass + Compass • Chart.JS, AngularJS, AngularUI • Docker/Carina • Github • Slack • SQLAlchemy • Flask • Apiary
8. Self-Critique • What we did well ◦ Rich database, clean and simple interface, connecting relevant information • What we learned ◦ Carina, Docker, full-stack website • What could be done better ◦ Table readability, improve pagination, make data load faster • What puzzled us ◦ Carina back end, allow users to add own data
9. SWEague Critique • What was done well ◦ Clean, minimal look; fast page loading • What we learned ◦ Loading large amounts of data can be reduced to short amount of time • What can be done better ◦ Some design issues, table column choices • What puzzles us ◦ The different column names
10. Commits: 56 Issues: 17 Unit tests: 0 Commits: 18 Issues: 8 Unit tests: 0 Commits: 12 Issues: 17 Unit tests: 0 Commits: 41 Issues: 4 Unit tests: 14 Commits: 13 Issues: 0 Unit tests: 0 Total commits: 140 Total issues: 46 Total unit tests: 14