def recreate_database():
Song.collection().drop()
Rating.collection().drop()
Song.insert_many(songs_from_json())
Song.collection().create_index([
('artist', TEXT),
('title', TEXT),
])
def songs_avg_difficulty():
id = 'all songs'
pipelines = []
try:
level = request.args['level']
pipelines.append({
'$match': {
'level': int(
level
), # TODO: deserialise all inputs so there's no need to cast to int here
}
})
id = f'level {level} songs'
except KeyError: # No level
pass
pipelines.append({
'$group': {
'_id': id,
'average_difficulty': {
'$avg': '$difficulty'
},
},
})
try:
result = next(Song.collection().aggregate(pipeline=pipelines))
except StopIteration:
result = dict(
_id='Database is empty',
average_difficulty=None,
)
return jsonify(result)
def songs_search():
try:
message = request.args['message']
except KeyError:
message = ''
try:
# TODO: if/when partial matches are required and/or performance becomes an issue, refactor to use elasticsearch
result = list(Song.collection().aggregate(pipeline=[{
'$match': {
'$text': {
'$search': message
},
},
}]))
results = Song.Schemas.Get(many=True).dump(result)
except OperationFailure as e:
if "no such collection 'homework.songs'" not in e._message:
raise e
results = []
return jsonify(dict(results=results, ))
