def stats():
queue=[tweets.s("tweets_{}.txt".format(i)) for i in xrange(0,20)]
g = group(queue)
res = g()
while res.ready()=="False":
time.slee(3)
dicts = res.get()
counter = Counter()
for dic in dicts:
counter.update(dic)
dic = dict(counter)
fig = Figure()
ax = fig.add_subplot(1,1,1)
x=[]
for i in range(len(dic)):
x.append(i)
ax.bar(x, dic.values(),width=0.8)
#plt.xticks(range(len(dic)),dic.keys())
#plt.title ="Data Visualization"
#plt.xlabel ="words"
#plt.ylabel = "Counts"
canvas = FigureCanvas(fig)
output =StringIO.StringIO()
canvas.print_png(output)
response = make_response(output.getvalue())
response.mimetype = 'image/png'
return response
def get_tweet():
queue = [tweets.s("tweets_{}.txt".format(i)) for i in xrange(0, 20)]
g = group(queue)
res = g()
while res.ready() == "False":
time.slee(3)
dicts = res.get()
counter = Counter()
for dic in dicts:
counter.update(dic)
return jsonify(dict(counter))
