""" 
# app.py - example Dash + ZMQ + msgpack + numpy monitor 

This app receives data from zmq_pub.py, and plots it.

Run the app, browse to localhost:8085 in your web browser, and run zmq_pub.py in a different terminal.
"""
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import dash_daq as daq
import zmq
import msgpack
import msgpack_numpy as m
m.patch()

def create_zmq_socket(zmq_port="5556", topicfilter="data"):
    """ Create a ZMQ SUBSCRIBE socket """
    context = zmq.Context()
    zmq_socket = context.socket(zmq.SUB)
    zmq_socket.connect ("tcp://localhost:%s" % zmq_port)
    zmq_socket.setsockopt(zmq.SUBSCRIBE, topicfilter)
    return zmq_socket

def recv_zmq(topic='data'):
    """ Receive data over ZMQ PubSub socket

    Args:
        socket: zmq.socket
        topic: topic subscribed to

    Returns numpy array data
    """
    # Note - context managing socket as it can't be shared between threads
    # This makes sure the socket is opened and closed by whatever thread Dash gives it
    with create_zmq_socket() as socket:
        msg = socket.recv()
        msgdata = msg[len(topic)+1:]
    return msgpack.unpackb(msgdata)

 
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

app.layout = html.Div(children=[
    html.H1(children='Hello Dash'),

    html.Div(children='''
        Dash: A web application framework for Python.
    '''),

    dcc.Graph(
        id='example-graph',
        figure={
            'data': [
                {'x': [1, 2, 3, 4, 5], 'y': [4, 1, 2, 1, 2],
                 'type': 'scatter', 'name': 'SF'},
            ],
            'layout': {
                'title': 'Dash Data Visualization'
            }
        }
    ),
    dcc.Interval(
        id='interval-component',
        interval=1*1000, # in milliseconds
        n_intervals=0
    )
])

# The updating is done with this callback
@app.callback(
    Output('example-graph', 'figure'),
    [Input('interval-component', 'n_intervals')])
def update(n):
    d = recv_zmq('data')
    return {'data': [
                {'x': d['x'], 'y': d['y'],
                 'type': 'scatter', 'name': 'SF'},
            ]}


if __name__ == '__main__':
    app.run_server(debug=True)