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# imports
import sqlite3
from flask import Flask, request, session, g, redirect, url_for, abort, render_template, flash
from contextlib import closing
from datetime import datetime
import pygal
# configuration
DATABASE = '/tmp/sensors.db'
DEBUG = True
SECRET_KEY = 'development_key'
# app creation
app = Flask(__name__)
app.config.from_object(__name__)
# To read from settings file, set SENSOR_SETTINGS in envvar
#app.config.from_envvar('SENSOR_SETTINGS', slient=True)
# initialize database
def init_db():
with closing(connect_db()) as db:
with app.open_resource('schema.sql', mode='r') as f:
db.cursor().executescript(f.read())
db.commit()
# connect to database
def connect_db():
return sqlite3.connect(app.config['DATABASE'])
# handle requests
@app.before_request
def before_request():
g.db = connect_db()
@app.teardown_request
def teardown_request(exception):
db = getattr(g, 'bd', None)
if db is not None:
db.close()
# viewing database
@app.route('/')
def show_entries():
cur = g.db.execute('SELECT date, temperature, humidity, pressure FROM weather ORDER BY id desc')
entries = [dict(date=row[0], temperature=row[1], humidity=row[2], pressure=row[3]) for row in cur.fetchall()]
return render_template('show_entries.html', weather=entries)
# drawing graphs
@app.route('/tgraph.svg')
def draw_t_graph():
cur = g.db.execute('SELECT date, temperature, humidity, pressure FROM weather ORDER BY id desc')
datetimeline = pygal.DateTimeLine(
x_label_rotation=30, truncate_label=-1,
x_value_formatter=lambda dt: dt.strftime('%d, %b %Y %I:%M %p')
)
datetimeline.add("Temp", [(datetime.strptime(row[0], '%Y-%m-%d %H:%M:%S.%f'), float(row[1])) for row in cur.fetchall()])
return datetimeline.render_response()
@app.route('/hgraph.svg')
def draw_h_graph():
cur = g.db.execute('SELECT date, temperature, humidity, pressure FROM weather ORDER BY id desc')
datetimeline = pygal.DateTimeLine(
x_label_rotation=30, truncate_label=-1,
x_value_formatter=lambda dt: dt.strftime('%d, %b %Y %I:%M %p')
)
datetimeline.add("Humidity", [(datetime.strptime(row[0], '%Y-%m-%d %H:%M:%S.%f'), float(row[2])) for row in cur.fetchall()])
return datetimeline.render_response()
@app.route('/pgraph.svg')
def draw_p_graph():
cur = g.db.execute('SELECT date, temperature, humidity, pressure FROM weather ORDER BY id desc')
datetimeline = pygal.DateTimeLine(
x_label_rotation=30, truncate_label=-1,
x_value_formatter=lambda dt: dt.strftime('%d, %b %Y %I:%M %p')
)
datetimeline.add("Pressure", [(datetime.strptime(row[0], '%Y-%m-%d %H:%M:%S.%f'), float(row[3])) for row in cur.fetchall()])
return datetimeline.render_response()
# adding entries to database
@app.route('/data', methods=['POST', 'GET'])
def add_data():
mkey = request.args.get('key')
if mkey != SECRET_KEY:
abort(401)
temp = request.args.get('temp')
humidity = request.args.get('humidity')
pressure = request.args.get('pressure')
now = datetime.now()
g.db.execute('INSERT INTO weather (date, temperature, humidity, pressure) VALUES (?, ?, ?, ?)', \
[now, temp, humidity, pressure])
g.db.commit()
return render_template('show_entries.html'), 200
if __name__ == '__main__':
app.run()
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