def storageBackend(script):
if len(script.args) <= 1:
logger.error(
"Storage backend must be specified, either 'swift', 's3', 'noop', or 'disk'"
)
sys.exit(1)
if script.args[1].lower() == "disk":
import disk
return disk.Disk(script.options.bucket, script.options.noop)
if script.args[1].lower() == "noop":
import noop
return noop.NoOP(script.options.bucket, script.options.noop)
if script.args[1].lower() == "s3":
import s3
if len(script.args) > 2:
region = script.args[2]
else:
region = "us-east-1"
return s3.S3(script.options.bucket, script.options.sse_c_key, region,
script.options.noop)
if script.args[1].lower() == "swift":
import swift
return swift.Swift(script.options.bucket, script.options.noop)
logger.error(
"Invalid storage backend, must be 'swift', 's3', 'noop', or 'disk'")
sys.exit(1)
def process_reg_data(reg_num, pull=False):
s = s3.S3(reg_num)
dbh = db.DB()
registree_set = dbh.get_registrees(reg_num)
fn = build_doc(registree_set, pull)
s.upload_pdf_file(fn)
print(f"Processed payment details for reg num {registree_set.reg_num}. File: {fn}")
pyperclip.copy(f"evince {fn} &")
def __init__( self ):
self.__bucketName = ''
self.__files = defaultdict( )
self.__userName = ''
self.__actionName = ''
self.__taskName = ''
self.__path = ''
self.__nodeID = requests.get( "http://localhost:4001/info" ).json()['Name']
# print("CHECK: ", self.__nodeID )
# Get the reouserce
self.s3Obj = s3.S3()
self.mqttObj = mqtt.MQTT()
self.mqttObj.start()
self.updateTopic = "Updates"
def storageBackend(script):
if len(script.args) <= 1:
logger.error("Storage backend must be specified, either 'swift' or 's3'")
sys.exit(1)
if script.args[1].lower() == "noop":
import noop
return noop.NoOP(script.options.bucket, script.options.noop)
if script.args[1].lower() == "s3":
import s3
return s3.S3(script.options.bucket,
script.options.keyprefix,
script.options.noop)
if script.args[1].lower() == "swift":
import swift
return swift.Swift(script.options.bucket, script.options.noop)
logger.error("Invalid storage backend, must be 'swift', 's3', or 'noop'")
sys.exit(1)
def storageBackend(script):
if len(script.args) <= 1:
logger.error(
"Storage backend must be specified, either: disk, gcs, noop, s3, or swift"
)
sys.exit(1)
if script.args[1].lower() == "disk":
import disk
return disk.Disk(script.options.bucket, script.options.noop)
if script.args[1].lower() == "noop":
import noop
return noop.NoOP(script.options.bucket, script.options.noop)
if script.args[1].lower() == "s3":
import s3
s3args = {"region": "us-east-1"}
for i in script.args[2:]:
fields = i.split("=")
if len(fields) > 1:
gcsargs[fields[0]] = fields[1]
else:
gcsargs["region"] = fields[0]
return s3.S3(script.options.bucket, s3args["region"],
script.options.noop)
if script.args[1].lower() == "swift":
import swift
return swift.Swift(script.options.bucket, script.options.noop)
if script.args[1].lower() == "gcs":
import gcs
gcsargs = {"project": "", "region": "us"}
for i in script.args[2:]:
fields = i.split("=")
if len(fields) > 1:
gcsargs[fields[0]] = fields[1]
else:
gcsargs["region"] = fields[0]
return gcs.GCS(script.options.bucket, gcsargs["project"],
gcsargs["region"], script.options.noop)
logger.error(
"Invalid storage backend, must be: disk, gcs, noop, s3, or swift")
sys.exit(1)
def send_email(reg_num=None, registree_set=None, fn=None):
if fn is None:
s = s3.S3(reg_num)
fn = s.download_pdf_reg_file(reg_num)
if reg_num is not None:
dbh = db.DB()
registree_set = dbh.get_registrees(args.reg_num)
elif registree_set is None:
raise ValueError(
"Either a reg num to look up or a RegistreeSet should be provided"
)
emails = "; ".join(set([r.email for r in registree_set.registrees if r.email]))
if emails:
pyperclip.copy(emails)
print(f"To: addresses copied to clipboard: {emails}")
input()
pyperclip.copy(BCC)
print(f"BCC: addresses copied to clipboard: {BCC}")
input()
subject = f"Registration for the 2021 MD410 Convention for {registree_set.registree_names}. Registration number: MDC{registree_set.reg_num:003}"
pyperclip.copy(subject)
print(f"Subject copied to clipboard: {subject}")
input()
kwds = locals()
kwds.update(globals())
body = BODY.format(**kwds)
pyperclip.copy(body)
print(body)
input()
pyperclip.copy(fn)
print(os.path.abspath(fn))
else:
print("No email addresses supplied")
def process_reg_data(reg_num, rebuild=False, pull=False):
s = s3.S3(reg_num)
dbh = db.DB()
if not rebuild:
fn = s.download_data_file()
registree_set = parse_data_file(fn)
payees = dbh.get_2020_payees()
print(f"Registrees: {registree_set.registree_names}")
print(
"Should any of the below payments from 2020 be applied to this registration?"
)
for (r, (name, amt)) in payees.items():
print(f"{r:003}: {name}: R{amt}")
print()
previously_paid = 0
while True:
payee_reg = input("Applicable reg num: ")
if not payee_reg:
break
previously_paid += payees[int(payee_reg)][-1]
if previously_paid:
registree_set.payments = [
db.Payment(date(year=2020, month=5, day=1), previously_paid)
]
registree_set.process_payments()
dbh.save_registree_set(registree_set)
else:
registree_set = dbh.get_registrees(reg_num)
fn = build_doc(registree_set, pull)
s.upload_pdf_file(fn)
print(
f"{'re' if rebuild else ''}processed reg num {registree_set.reg_num}. File: {fn}"
)
pyperclip.copy(f"evince {fn} &")
class ICan:
"""
Main class of the iCan application that packages the high level logic of the device.
Public Methods:
checkOrientation()
"""
# SENSORS
lidSensor = lid.Lid()
cameraSensor = camera.Camera('/tmp/trash.jpg')
# ACTUATORS/OUTPUT
lightOutput = light.Light(21)
trapdoorOutput = trapdoor.Trapdoor()
# CLOUD SERVICES AND APIs
storageService = s3.S3()
databaseService = database.ICanItems()
weatherService = local_weather.LocalWeather()
recognitionService = image_recognition.ImageRecognition()
predictionService = prediction.Prediction()
notificationService = notification.Notification()
# How long to wait to be in "steady" state (seconds)
WAIT_TIME = 3
# How often readings are taken from the accelerometer (seconds)
READING_INTERVAL = 0.2
recentOpenStates = None
# Take a photo only after the can was just opened and closed (and in steady state)
photoRecentlyTaken = True
def __init__(self):
# Store recent history of states in tuples (horizontal, vertical)
initialState = (False, False)
maxLength = int(self.WAIT_TIME / self.READING_INTERVAL)
self.recentOpenStates = deque(maxLength * [initialState], maxLength)
def checkOrientation(self):
"""
Checks the current orientation of the lid, take a photo and process it.
:return:
"""
horizontal = self.lidSensor.isHorizontal()
vertical = self.lidSensor.isVertical()
print 'H: ', horizontal
print 'V: ', vertical
self.recentOpenStates.append((horizontal, vertical))
if self.isReadyToTakePhoto() and not self.photoRecentlyTaken:
print 'Taking photo now . . . '
fileName = self.getFileName()
self.cameraSensor.setImagePath(fileName)
self.cameraSensor.takePhoto()
link = self.uploadPhoto(fileName)
identifiers = self.recognitionService.getImageIdentifiers(fileName)
targetPrediction = self.predictionService.getTrashPrediction(identifiers)
print identifiers
print targetPrediction
# Fallback in case nothing is recognized in the image by recognition service
if len(identifiers) == 0:
identifiers = ['trash']
targetPrediction = 'trash'
self.saveToDatabase(identifiers, targetPrediction, link)
self.respondToPrediction(identifiers, targetPrediction)
self.photoRecentlyTaken = True
if vertical and not horizontal:
# Lid is open
self.lightOutput.turnOn()
self.photoRecentlyTaken = False
else:
self.lightOutput.turnOff()
def saveToDatabase(self, identifiers, targetPrediction, link):
"""
Save the record of identification to the database.
:param identifiers: List of identifier strings from the image recognition service
:param targetPrediction: String prediction from the prediction service
:param link: Public URL to the image
:return: Response to save request from the database
"""
return self.databaseService.addRecord({
'item_name': ", ".join(identifiers),
'recyclable': (targetPrediction == 'recyclable'),
'compostable': (targetPrediction == 'compostable'),
'timestamp': int(time()),
'temperature': self.weatherService.getCurrentTemperature(),
'image': link,
'user_feedback': False,
})
def getFileName(self):
"""
Return the pseudo unique filename of the next photo to be taken.
:return: Absolute path to the file as a string
"""
timestamp = time()
name = 'trash_' + str(timestamp) + '.jpg'
path = '/tmp/'
return path + name
def isReadyToTakePhoto(self):
"""
Return if the iCan is ready to take a photo based on current state and previous states.
If the lid as been closed for the entire duration of the waiting period, then it is
time to take a photo.
:return: Boolean on whether the iCan is ready to take a photo
"""
# Check if the queue of states shows it has been closed
# for the entire waiting period
closedState = (True, False)
return self.recentOpenStates.count(closedState) == self.recentOpenStates.maxlen
def uploadPhoto(self, fileName):
"""
Upload given file to cloud storage, write the link to a file and return it
:param fileName: Absolute path to file
:return: URL to the file on cloud storage
"""
# Write the public link to a local file
link = self.storageService.uploadData(fileName)
with open('/tmp/photos.txt', 'a') as photosFile:
photosFile.write(link + "\n")
print 'URL: ' + link
return link
def respondToPrediction(self, identifiers, targetPrediction):
"""
React to the prediction by either opening the trapdoor or sending a notification.
:param identifiers: List of string identifiers from Image Recognition Service
:param targetPrediction: Prediction of 'trash', 'compostable', 'recyclable', etc. from the ML model
:type targetPrediction: str
"""
if targetPrediction == 'trash':
print 'Down the hatch!'
self.trapdoorOutput.open()
print 'Waiting . . . '
sleep(2)
self.trapdoorOutput.close()
else:
print 'Sending Notification'
identifiersList = ', '.join(identifiers[:3])
message = 'iCan has detected an item that is: ' + identifiersList
message = message + "\nCategory " + targetPrediction.upper()
self.notificationService.sendNotification(message)
def cleanUp(self):
"""
Clean up any used I/O pins and close any connections if needed.
:return: None
"""
self.trapdoorOutput.cleanUp()
self.lightOutput.cleanUp()
