Add basic implementation
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laundry_notifier/__init__.py
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laundry_notifier/__init__.py
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laundry_notifier/run.py
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laundry_notifier/run.py
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import time
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import datetime
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import smtplib
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import math
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from email.mime.text import MIMEText
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from datetime import datetime
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from microstacknode.hardware.accelerometer.mma8452q import MMA8452Q
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EMAIL_USERNAME = 'noreply@ianonavy.com'
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EMAIL_PASSWORD = 'S2PENjQbO6=cHgchw@CXs.bJ'
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RECIPIENT_EMAILS = [
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'ianonavy@gmail.com', 'dmurvihill@gmail.com',
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'5038304363@tmomail.net'
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]
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ALERT_EMAIL_TEXT = """Hi,
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Your laundry is done. Or maybe your roomate's. I don't know.
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Regretfully,
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Ianonavy Bot
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"""
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G_RANGE = 2
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INTERVAL = 0.005 # seconds
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WINDOW_SIZE = 40 # intervals
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THRESHOLD = 0.003 # G's
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MAX_EMAIL_FREQUENCY = 60 # seconds
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def average(s):
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return sum(s) * 1.0 / len(s)
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def stdev(s):
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if not s:
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return 0
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avg = average(list(s))
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variance = map(lambda x: (x - avg) ** 2, s)
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return math.sqrt(average(list(variance)))
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def notify_user(recipient_email_address):
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print("Alerting " + recipient_email_address)
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msg = MIMEText(ALERT_EMAIL_TEXT)
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# me == the sender's email address
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# you == the recipient's email address
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msg['Subject'] = 'Laundry Finished'
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msg['From'] = 'pi@localhost'
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msg['To'] = recipient_email_address
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# Send the message via our own SMTP server.
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username = EMAIL_USERNAME
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password = EMAIL_PASSWORD
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server = smtplib.SMTP('smtp.gmail.com:587')
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server.starttls()
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server.login(username, password)
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server.send_message(msg)
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server.quit()
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def enqueue(sliding_window, item):
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if len(sliding_window) == WINDOW_SIZE:
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sliding_window.pop(0)
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sliding_window.append(item)
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def amplitude_stdev(sliding_window):
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standard_deviations = {}
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for key in ('x', 'y', 'z'):
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values = [instance[key] for instance in sliding_window]
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standard_deviations[key] = stdev(values)
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return standard_deviations
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def send_emails(last_email_sent_at):
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print((datetime.now() - last_email_sent_at).seconds) # for debugging
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# limit frequency of emails
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if (datetime.now() - last_email_sent_at).seconds > MAX_EMAIL_FREQUENCY:
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[notify_user(email) for email in RECIPIENT_EMAILS]
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return datetime.now()
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return last_email_sent_at
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def main():
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with MMA8452Q() as accelerometer:
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# Configure accelerometer
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accelerometer.standby()
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accelerometer.set_g_range(G_RANGE)
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accelerometer.activate()
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# Settle
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time.sleep(INTERVAL)
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sliding_window = []
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dryer_state = 'off'
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last_email_sent_at = datetime(1970, 1, 1, 0, 0, 0)
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while True:
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g_values = accelerometer.get_xyz()
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enqueue(sliding_window, g_values)
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sliding_stdev = amplitude_stdev(sliding_window)
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print(sliding_stdev, dryer_state) # for debugging
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# don't send emails right at the beginning
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if g_values:
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if sliding_stdev['x'] < THRESHOLD:
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if dryer_state == 'on':
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last_email_sent_at = send_emails(last_email_sent_at)
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dryer_state = 'off'
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else:
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dryer_state = 'on'
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time.sleep(INTERVAL)
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if __name__ == '__main__':
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main()
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17
setup.py
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setup.py
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from distutils.core import setup
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description = "Raspberry Pi-based laundry notification system."
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setup(
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name='laundry-notifier',
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version='0.0.1',
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author='Ian Adam Naval',
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author_email='ianonavy@gmail.com',
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packages=['laundry_notifier'],
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scripts=[],
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url='https://git.ianonavy.com/ianonavy/laundry-notifier/',
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license='MIT',
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description=description,
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long_description=description,
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install_requires=['microstackcommon', 'microstacknode'],
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)
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