def refresh_list():
'''
This is the function that interfaces with
Ajax/JavaScript inside output.html.
Here, we take the following steps:
```````````````````````````````````
1. Wait for information from the user on
what he/she did not like.
2. Call the python algorithm for re-ranking
best musicians for the user.
'''
# store the jsonified data from the app's user
out_dict = request.json
# get the rejected artists
rejected_artists = request.json['rejected_artists']
# currently upvoted_artists are not used
upvoted_artists = request.json['upvoted_artists']
# store the root artist
root_artist = request.json['root_artist']
# make sure we don't have any unicode characters
# that will disrupt our string comparisons in
# get_artist_recs()
if type(rejected_artists) is list:
for i in range( len(rejected_artists) ):
rejected_artists[i] = rejected_artists[i].replace(
'&', '&')
# pass to recommendation algorithm
rec = get_artist_recs(root_artist, drop_names = rejected_artists,
upvote_names = upvoted_artists
)
# store the names and screen names of rec'd artists
rec_name = rec['name']
rec_sn = rec['sn']
# concatenate these recommendations
rec = rec_name + rec_sn
print rec[:]
# store in a dict to the json file
# for passing back to the web-browser.
data = {}
for i, v in enumerate( rec ):
data[i] = v
return jsonify(data)
def api_output():
'''
This is the function that interfaces with
Ajax/JavaScript inside output.html.
Here, we take the following steps:
```````````````````````````````````
1. Call the python algorithm for ranking
best musicians for the user given root artist.
'''
# get the root artist
artist = request.args['artist']
# Call the backend algorithm to get best
# initial recommendations from stored twitter data.
rec = get_artist_recs( artist.strip() )
rec_name = rec['name']
rec_sn = rec['sn']
# now render the HTML for output
return render_template('output.html', recommendation=rec_name,
rec_sn = rec_sn, root_artist = artist)
