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from flask import Flask, render_template | ||
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import json | ||
import plotly | ||
from plotly import tools | ||
import plotly.graph_objs as go | ||
import sqlite3 | ||
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app = Flask(__name__) | ||
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class SqlReader: | ||
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def getData(self): | ||
#connection = sqlite3.connect('/fullpath/to/sqlit3/pirs.db') | ||
connection = sqlite3.connect('pirs.db') | ||
cursor = connection.cursor() | ||
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sql_command = """ | ||
SELECT * from pirone | ||
ORDER BY thetime DESC | ||
LIMIT 2000;""" | ||
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cursor.execute(sql_command) | ||
result = cursor.fetchall() | ||
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cursor.close() | ||
return result | ||
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@app.route('/') | ||
def index(): | ||
sql = SqlReader() | ||
result = sql.getData() | ||
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numOfPoints = len(result) | ||
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pir = [yValues[1] for yValues in result] | ||
xValues = [xValues[0] for xValues in result] | ||
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graphs = [ | ||
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dict( | ||
data=[ | ||
dict( | ||
x=xValues, | ||
y=pir, | ||
type='bar' | ||
), | ||
], | ||
layout=dict( | ||
title='Motion vs Time' | ||
) | ||
) | ||
] | ||
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# Add "ids" to each of the graphs to pass up to the client | ||
# for templating | ||
ids = ['Graph {}'.format(i) for i, _ in enumerate(graphs)] | ||
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# Convert the figures to JSON | ||
# PlotlyJSONEncoder appropriately converts pandas, datetime, etc | ||
# objects to their JSON equivalents | ||
graphJSON = json.dumps(graphs, cls=plotly.utils.PlotlyJSONEncoder) | ||
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return render_template('layouts/index.html', | ||
ids=ids, | ||
graphJSON=graphJSON) | ||
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if __name__ == '__main__': | ||
app.run(host='0.0.0.0', port=9999) |
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#! /usr/bin/python3 | ||
import time | ||
import sqlite3, json | ||
import paho.mqtt.client as mqtt | ||
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mqtt_topic = "sensor/door/pir" | ||
mqtt_username = "janedoe" | ||
mqtt_password = "johndoe" | ||
dbFile = "pir.db" | ||
mqtt_broker_ip = '192.168.1.50' | ||
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def takeTime(): | ||
return time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) | ||
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# The callback for when the client receives a CONNACK response from the server. | ||
def on_connect(client, userdata, flags, rc): | ||
print("Connected with result code "+str(rc)) | ||
client.subscribe(mqtt_topic, 0) | ||
# The callback for when a PUBLISH message is received from the server. | ||
def on_message(client, userdata, msg): | ||
time_ = takeTime() | ||
topic = msg.topic | ||
payload = json.dumps(msg.payload.decode('utf-8')) | ||
sql_cmd = sql_cmd = "INSERT INTO {1[sensor]} VALUES ('{0}', {1[motion]})".format(time_, payload) | ||
writeToDB(sql_cmd) | ||
print(sql_cmd) | ||
return None | ||
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def writeToDB(sql_command): | ||
conn = sqlite3.connect(dbFile) | ||
cur = conn.cursor() | ||
cur.execute(sql_command) | ||
conn.commit() | ||
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client = mqtt.Client() | ||
client.username_pw_set(username=mqtt_username, password=mqtt_password) | ||
client.connect(mqtt_broker_ip, 1883, 60) | ||
client.on_connect = on_connect | ||
client.on_message = on_message | ||
time.sleep(1) | ||
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client.loop_forever() |
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plotly | ||
flask |
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<!doctype html> | ||
<html> | ||
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<head> | ||
<meta http-equiv="refresh" content="60"> | ||
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</head> | ||
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<body> | ||
{% for id in ids %} | ||
<!--<h3><font face='Arial'>{{id}}</font></h2>--> | ||
<div id="{{id}}"></div> | ||
{% endfor %} | ||
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</body> | ||
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<footer> | ||
<!-- D3.js --> | ||
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script> | ||
<!-- jQuery --> | ||
<script src="https://code.jquery.com/jquery-2.1.4.min.js"></script> | ||
<!-- Plotly.js --> | ||
<script src="https://d14fo0winaifog.cloudfront.net/plotly-basic.js"></script> | ||
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<script type="text/javascript"> | ||
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var graphs = {{graphJSON | safe}}; | ||
var ids = {{ids | safe}}; | ||
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for(var i in graphs) { | ||
Plotly.plot(ids[i], // the ID of the div, created above | ||
graphs[i].data, | ||
graphs[i].layout || {}); | ||
} | ||
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</script> | ||
</footer> | ||
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</html> |