""" app plotly dash"""
import dash
from dash.dependencies import Input, Output, State, Event
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import numpy as np
import time
import sys
import datetime as dt
import matplotlib
matplotlib.use(“Agg”)
import matplotlib.pylab as plt
import base64
from login import server as server
import json

def global_store(data, strings):
    global_data = [v for i,v in enumerate(data)]
    print(‘Computing value…’)
    return [global_data, strings]

app = dash.Dash(name=‘app’, server=server, csrf_protect=False,
    url_base_pathname=’/app’)

app.layout = html.Div([
html.Div([

    dcc.Interval(
        id='interval-component',
        interval=5*60*60*1000, # in milliseconds
        n_intervals=0
    ),

  html.Button(id='run', n_clicks=0, children='Run'),

  html.Div(id='signal', style={'display': 'none'}),
  html.Div(id='div-error'),
  ], style={'display': 'inline-block', 'textAlign': 'center',
'marginLeft':'27%', 'marginTop':0}),

html.Div([
dcc.Slider(id='index-slider3', min=0, max=loops, value=0, step=1,),
], style={'width': '35%'}),

# Graphs

html.Div([
    html.H5("Waveform 1", style={'display': 'inline-block', 'marginLeft': 300}),
    dcc.Graph(id='fig1', style={'width':850, 'height': 450, 'marginTop':0, 'marginBottom':0}),],
style={'width': '60%', 'display': 'inline-block','marginTop': 0}),

html.Div([
    html.H5("Waveform 2", style={'display': 'inline-block', 'marginLeft': 300}),
    dcc.Graph(id='fig2', style={'width':850, 'height': 450, 'marginTop':0, 'marginBottom':0})],
style={'width': '60%', 'display': 'inline-block','marginTop': 0}),

html.Div([
    html.H5("Waveform 3", style={'display': 'inline-block', 'marginLeft': 300}),
    dcc.Graph(id='fig3', style={'width':850, 'height': 450, 'marginTop':0, 'marginBottom':0})],
style={'width': '60%', 'display': 'inline-block','marginTop': 0}),

html.Div([
    html.H5("Waveform 4", style={'display': 'inline-block', 'marginLeft': 300}),
    html.Img(id='fig4', style={'width':850, 'height': 450, 'marginTop':0, 'marginBottom':0})],
    style={'width': '60%', 'display': 'inline-block','marginTop': 0}),
])

@app.callback(Output(‘interval-component’, ‘interval’),
[Input(‘run’, ‘n_clicks’)])
def disable_interval(n_clicks):
    if n_clicks%2 == 0:
        return 106060*1000
    else:
        return 10 * 1000

@app.callback(Output(‘signal’, ‘children’),
[Input(‘interval-component’, ‘n_intervals’)],)
def compute_value(n_intervals):
    datas = np.random.randint(1000, size=5000)
    datass = np.random.randint(2, size=(5000,5000))
    plt.figure(figsize=(8, 6))
    plt.pcolormesh(datas [0:10], datass [10:100], datas [10:100,0:10])
    plt.colorbar()
    plt.title(‘Waveform at time:
    {}.’.format(dt.datetime.now().strftime(’%c’)))
    plt.savefig(‘spectrum.png’)
    image_filename = ‘wave4.png’ # replace with your own image
    encoded_image = base64.b64encode(open(image_filename, ‘rb’).read())
    base64_string = encoded_image.decode(‘utf-8’)
    global_data = global_store(datas, base64_string)
    return json.dumps(global_data)

@app.callback(Output(‘div-error’, ‘children’), [Input(‘signal’,
‘children’)], [], [Event(‘interval-component’, ‘interval’)])
def update_error(data):
      if ‘data’ in data:
           return data

@app.callback(Output(‘fig1’, ‘figure’), [Input(‘signal’, ‘children’)], [],
[Event(‘interval-component’, ‘interval’)])
def update_figure1(data):
    data = json.loads(data)
    traces = []
    traces.append(go.Scatter(
    x=list(range(len(data[0]))),
    y=data[0],
    mode=‘lines’,#+markers’,
    opacity=0.7,
    ))
    return {
‘data’: traces,
‘layout’: go.Layout(
title=‘Waveform1’,
xaxis={‘title’: ‘Index’},
legend={‘x’: 0, ‘y’: 1},
hovermode=‘closest’
)
}

@app.callback(Output(‘fig2’, ‘figure’), [Input(‘signal’, ‘children’)], [],
[Event(‘interval-component’, ‘interval’)])
def update_figure2(data):
    data = json.loads(data)
    traces = []
    traces.append(go.Scatter(
    x=list(range(len(data[0]))),
    y=data[0],
    mode=‘lines’,
    opacity=0.7,
    ))
    return {
    ‘data’: traces,
    ‘layout’: go.Layout(
    title=‘Waveform2’,
    legend={‘x’: 0, ‘y’: 1},
    hovermode=‘closest’
    )
    }

@app.callback(Output(‘fig3’, ‘figure’), [Input(‘signal’, ‘children’)], [],
 [Event(‘interval-component’, ‘interval’)])
def update_figure5(data):
    data = json.loads(data)
    traces = []
    traces.append(go.Scatter(
    x=list(range(len(data[0]))),
    y= np.array(data[0]) * np.array(data[0]),
mode=‘line’,
name=“Power”,
))
return {
‘data’: traces,
‘layout’: go.Layout(
title=‘Waveform3’,
legend={‘x’: 0, ‘y’: 1},
hovermode=‘closest’
)
}

@app.callback(Output(‘fig4’, ‘src’), [Input(‘signal’, ‘children’)], [], [Event(‘interval-component’, ‘interval’)])
def update_figure6(data):
data = json.loads(data)
image = data[1]
return ‘data:image/png;base64,{}’.format(image.encode(‘utf-8’).decode())

if name == ‘main’:
app.run_server(host=‘0.0.0.0’, port=9000, debug=True)
# app.run_server()