MIT License

Copyright (c) 2022 Kelvin Choi

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

import dash
from dash.dependencies import Output, Input
from dash import dcc, html, dcc
from datetime import datetime
import json
import plotly.graph_objs as go
from collections import deque
from flask import Flask, request

server = Flask(__name__)
app = dash.Dash(__name__, server=server)

# CSV export and thats it.

MAX_DATA_POINTS = 1000
UPDATE_FREQ_MS = 100

time = deque(maxlen=MAX_DATA_POINTS)
accel_x = deque(maxlen=MAX_DATA_POINTS)
accel_y = deque(maxlen=MAX_DATA_POINTS)
accel_z = deque(maxlen=MAX_DATA_POINTS)

app.layout = html.Div(
	[
		dcc.Markdown(
			children="""
			# Live Sensor Readings
			Streamed from Sensor Logger: tszheichoi.com/sensorlogger
		"""
		),
		dcc.Graph(id="live_graph"),
		dcc.Interval(id="counter", interval=UPDATE_FREQ_MS),
	]
)


@app.callback(Output("live_graph", "figure"), Input("counter", "n_intervals"))
def update_graph(_counter):
	data = [
		go.Scatter(x=list(time), y=list(d), name=name)
		for d, name in zip([accel_x, accel_y, accel_z], ["X", "Y", "Z"])
	]

	graph = {
		"data": data,
		"layout": go.Layout(
			{
				"xaxis": {"type": "date"},
				"yaxis": {"title": "Acceleration ms<sup>-2</sup>"},
			}
		),
	}
	if (
		len(time) > 0
	):  #  cannot adjust plot ranges until there is at least one data point
		graph["layout"]["xaxis"]["range"] = [min(time), max(time)]
		graph["layout"]["yaxis"]["range"] = [
			min(accel_x + accel_y + accel_z),
			max(accel_x + accel_y + accel_z),
		]

	return graph


@server.route("/data", methods=["POST"])
def data():  # listens to the data streamed from the sensor logger
	if str(request.method) == "POST":
		print(f'received data: {request.data}')
		data = json.loads(request.data)
		for d in data['payload']:
			if (
				d.get("name", None) == "accelerometer"
			):  #  modify to access different sensors
				ts = datetime.fromtimestamp(d["time"] / 1000000000)
				if len(time) == 0 or ts > time[-1]:
					time.append(ts)
					# modify the following based on which sensor is accessed, log the raw json for guidance
					accel_x.append(d["values"]["x"])
					accel_y.append(d["values"]["y"])
					accel_z.append(d["values"]["z"])
	return "success"


if __name__ == "__main__":
	app.run_server(port=8000, host="0.0.0.0")