livestream_cont3.py

__author__ = 'student'

# (*) To communicate with Plotly's server, sign in with credentials file
import plotly.plotly as py

# (*) Useful Python/Plotly tools
import plotly.tools as tls

# (*) Graph objects to piece together plots
from plotly.graph_objs import *

import numpy as np  # (*) numpy for math functions and arrays

import datetime
import time

import serial

ser = serial.Serial('/dev/tty.usbmodem1411',baudrate = 9600, timeout = 1)
ser.close()
ser.open()
header = "A"
footer = "D"
byte = ""
temp = 0
heartrate = 0
help1 = 0




stream_ids = tls.get_credentials_file()['stream_ids']

#help(Stream)  # call help()!


# Get stream id from stream id list
stream_id = stream_ids[0]

# Make instance of stream id object
stream = Stream(
    token=stream_id,  # (!) link stream id to 'token' key
    maxpoints=200      # (!) keep a max of 80 pts on screen
)

# Initialize trace of streaming plot by embedding the unique stream_id
trace1 = Scatter(
    x=[],
    y=[],
    mode='lines+markers',
    stream=stream,         # (!) embed stream id, 1 per trace
    line=Line(
            color='rgb(44, 160, 44)',
            width=3,
            shape='spline',
            smoothing=1.3
        )
)

data = Data([trace1])

#Add title to layout object


layout = Layout(
    autosize=True,
    width=1860,
    height=1313,
    xaxis=XAxis(
        title='Time',
        type='category',
        autorange=True
    ),
    yaxis=YAxis(
        title='Body Temperature',
        type='linear',
        autorange=True
    )
)


# Make a figure object
fig = Figure(data=data, layout=layout)

# (@) Send fig to Plotly, initialize streaming plot, open new tab
unique_url = py.plot(fig, filename='s7_first-stream')

#help(py.Stream)  # run help() of the Stream link object

# (@) Make instance of the Stream link object,
#     with same stream id as Stream id object
s = py.Stream(stream_id)

# (@) Open the stream
s.open()

# (*) Import module keep track and format current time


i = 0    # a counter
k = 5    # some shape parameter
N = 100000  # number of points to be plotted

# Delay start of stream by 5 sec (time to switch tabs)
time.sleep(5)

while 1:
    i += 1   # add to counter
    byte = ser.readline()
    if header in byte:
        help1 = ser.readline()
        temp = ser.readline()
        heartrate = ser.readline()

        print(heartrate)

    # Current time on x-axis, random numbers on y-axis
    x = datetime.datetime.now().strftime('%H:%M:%S')
    y = str(float(temp)+10)

    # (-) Both x and y are numbers (i.e. not lists nor arrays)

    # (@) write to Plotly stream!
    s.write(dict(x=x, y=y))

    # (!) Write numbers to stream to append current data on plot,
    #     write lists to overwrite existing data on plot (more in 7.2).

    time.sleep(0.35)  # (!) plot a point every 80 ms, for smoother plotting

# (@) Close the stream when done plotting
s.close()
ser.close()