def data():
result = pack_empty()
# try:
dt = datetime.now()
params = parse_params(request.query.decode())
db_data = db.get_descriptions(params.point, params.range)
if db_data:
processed = db_data.process(process_fun=process_gensim)
filtered = db_data.filter(data=processed, mask_fun=filter_sum)
result = pack_result(filtered.tolist(), (datetime.now() - dt).microseconds)
# except Exception, e:
# result = pack_error(str(e))
return result
def test_analyze():
from collector import db
dt = datetime.datetime(2013, 8, 21, 19)
data = db.get_descriptions(dt)
return np.array(data.keys()), analyze.vectorize(data.values())
