def update_down_pred(n1, n2, n3, n4, n5, click_cache, t1, t2, t3, t4, t5):
click_cache = np.array(
list(map(lambda n: int(n), click_cache[0].split(' '))))
new_clicks = np.array([n1, n2, n3, n4, n5])
idx = np.argmax(new_clicks - click_cache)
t = np.array([t1, t2, t3, t4, t5])[idx]
df = load_ts(t)
df.sort_index(inplace=True)
ic = IndiqueCalculator(df, t)
pred = ic.load_predict()
return str(round(pred[0][0] * 100, 1)) + '%'
def update_vpt_figure(n1, n2, n3, n4, n5, click_cache, t1, t2, t3, t4, t5):
click_cache = np.array(
list(map(lambda n: int(n), click_cache[0].split(' '))))
new_clicks = np.array([n1, n2, n3, n4, n5])
idx = np.argmax(new_clicks - click_cache)
t = np.array([t1, t2, t3, t4, t5])[idx]
df = load_ts(t)
df.sort_index(inplace=True)
ic = IndiqueCalculator(df, t)
vpt = ic.get_vpt()
data = [go.Scatter(x=vpt.index, y=vpt.values)]
layout = go.Layout(title='3 mos VPT',
paper_bgcolor='rgba(0, 0, 0, 0.7)',
plot_bgcolor='rgba(48, 48, 48, 0.7)',
margin={
'l': 40,
'b': 40,
't': 40,
'r': 0
},
font={'color': 'white'},
height=300)
return go.Figure(data, layout=layout)