CheerMeApp Demo

Prototyped during International Beer Day 2015, CheerMeApp is a demo developed to showcase a "search-as-you-type" application in AngularJS + Flask + Elasticsearch.

Please notice this is experimental (use at your own risk). Also see "Known Limitations" below.

I also wrote a blog post about this, that walks you through the code.

Installation

Assumptions:

• Elasticsearch is running locally (localhost:9200)
• Tested on Elasticsearch 1.* (the mapping doesn't work on Elasticsearch 2.*)
• Tested on Python 3.4
• Use virtualenv to install Python dependencies

Clone repo, install virtualenv, install Python dependencies:

git clone https://github.com/bonzanini/CheerMeApp-demo
cd CheerMeApp-demo
virtualenv venv
source ./venv/bin/activate
pip install -r requirements.txt

Create basic database (use data from data/beers.data):

make index

Run backend service:

make backend

Run frontend service:

make frontend

Point your browser to:

http://localhost:8000

and search for a beer.

Known Limitations

• After creating/deleting new items, the item list occasionally doesn't refresh correctly.
• When the search bar is emptied, previous results are not cleared until a new search is issued.
• No functionality to edit items yet.
• No functionality to insert/edit/delete styles/categories yet.
• UI: should ask "Are you very very sure?" before deleting items.
• No caching (each keystroke is an Elasticsearch query) yet.
• No pagination yet.
• Elasticsearch 2.* is not yet supported

License

The textual data in data/* have been retrieved from the producers' websites in August 2015.

The code is under MIT license, see LICENSE.