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custom_skill.py
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custom_skill.py
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# -*- coding: utf-8 -*-
"""
@author: Vatsal patel
"""
from __future__ import print_function
import random
import json
import boto3
from boto3.dynamodb.conditions import Key, Attr
import time as tym
import decimal
from datetime import datetime,date,time
# --------------- Helpers that build all of the responses ----------------------
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('EnrichedFrame')
def build_speechlet_response(title, output, reprompt_text, should_end_session):
return {
'outputSpeech': {
'type': 'PlainText',
'text': output
},
'card': {
'type': 'Simple',
'title': "SessionSpeechlet - " + title,
'content': "SessionSpeechlet - " + output
},
'reprompt': {
'outputSpeech': {
'type': 'PlainText',
'text': reprompt_text
}
},
'shouldEndSession': should_end_session
}
def build_response(session_attributes, speechlet_response):
return {
'version': '1.0',
'sessionAttributes': session_attributes,
'statusCode': 200,
'body': 'Item added',
'response': speechlet_response
}
# --------------- Functions that control the skill's behavior ------------------
def hello_intent_handler():
""" Message that is sent right when you launch your application
"""
session_attributes = {}
card_title = "Welcome"
speech_output = "Hello master."
# If the user either does not reply to the welcome message or says something
# that is not understood, they will be prompted again with this text.
reprompt_text = "I don't know if you heard me, welcome to your custom alexa application!"
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def Snapshot_intent_handler(intent, session):
""" Message that is sent right when you launch your application
"""
session_attributes = {}
card_title = "Welcome"
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('EnrichedFrame')
speech_output = ""
count_total =0
#utc_dt = pytz.utc.localize(datetime.datetime.now())
#now_ts_utc = (utc_dt - datetime.datetime(1970, 1, 1, tzinfo=pytz.utc)).total_seconds()
today = datetime.now()
timestamp_curr = int(datetime.timestamp(today)) + 19785
timestamp_beg = timestamp_curr - 300
# For vehicle
count_car = 0
response1=table.scan(
FilterExpression=Key('notification_type').eq('vehicle') & Key('approx_capture_timestamp').between(timestamp_beg, timestamp_curr)
)
speech_output_car = "A car was spotted at "
for i in response1['Items']:
count_car = count_car + 1
x = json.dumps(i, cls=DecimalEncoder)
y = json.loads(x)
z = y['approx_capture_timestamp']
readable = tym.ctime(z)
hour = readable[11:16]
speech_output_car += hour + " and "
# For Unknown
count_unknown = 0
response2=table.scan(
FilterExpression=Key('notification_type').eq('unknown') & Key('approx_capture_timestamp').between(timestamp_beg, timestamp_curr)
)
speech_output_unknown = "An Unknown was spotted at "
for i in response2['Items']:
count_unknown = count_unknown + 1
x = json.dumps(i, cls=DecimalEncoder)
y = json.loads(x)
z = y['approx_capture_timestamp']
readable = tym.ctime(z)
hour = readable[11:16]
speech_output_unknown += hour + " and "
# For Known
count_known = 0
response3=table.scan(
FilterExpression=Key('notification_type').eq('known') & Key('approx_capture_timestamp').between(timestamp_beg, timestamp_curr)
)
speech_output_known = ""
for i in response3['Items']:
count_known = count_known + 1
x = json.dumps(i, cls=DecimalEncoder)
y = json.loads(x)
z = y['approx_capture_timestamp']
name = y['external_image_id']
readable = tym.ctime(z)
hour = readable[11:16]
speech_output_known += name + " was spotted at " + hour + " , "
count_total = count_known + count_unknown + count_car
#speech_output += "Total " + str(count_total) + " things were spotted today. "
if(count_known>0):
speech_output += speech_output_known[:len(speech_output_known)-2] + "and "
if(count_unknown>0):
speech_output += speech_output_unknown[:len(speech_output_unknown)-5:] + "and "
if(count_car>0):
speech_output += " , " + speech_output_car[:len(speech_output_car)-5:]
if(count_total == 0):
speech_output = "No activity detected on the door in last five minutes"
speech_output = speech_output[:len(speech_output)-4] + " ."
# If the user either does not reply to the welcome message or says something
# that is not understood, they will be prompted again with this text.
reprompt_text = "I don't know if you heard me, welcome to your custom alexa application!"
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def SpecificUpdate_intent_handler(intent, session):
""" Message that is sent right when you launch your application
"""
session_attributes = {}
card_title = "Welcome"
name = intent['slots']['name']['value']
if(name.__contains__(" ")):
namearr = name.split()
name1 = namearr[0].capitalize()
name2 = namearr[1].capitalize()
name = name1 + name2
speech_output = ""
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('EnrichedFrame')
beg = datetime.combine(date.today(),time())
today = datetime.now()
timestamp_curr = int(datetime.timestamp(today)) + 19785
timestamp_beg = int(datetime.timestamp(beg)) + 19785
#Checking in Database
count_known = 0
response3=table.scan(
FilterExpression=Key('notification_type').eq('known') & Key('approx_capture_timestamp').between(timestamp_beg, timestamp_curr)
)
speech_output_known = ""
for i in response3['Items']:
x = json.dumps(i, cls=DecimalEncoder)
y = json.loads(x)
namedb = y['external_image_id']
if(name == namedb[:-1]):
count_known += 1
z = y['approx_capture_timestamp']
readable = tym.ctime(z)
hour = readable[11:16]
speech_output_known += namedb + " was spotted at " + hour + " , "
if(count_known > 0):
speech_output += speech_output_known[:len(speech_output_known)-3] + " . "
else:
speech_output += name + " was not at your home today."
#speech_output += "Specific Intent " + name + speech_output_known
# If the user either does not reply to the welcome message or says something
# that is not understood, they will be prompted again with this text.
reprompt_text = "I don't know if you heard me, welcome to your custom alexa application!"
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
class DecimalEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, decimal.Decimal):
if o % 1 > 0:
return float(o)
else:
return int(o)
return super(DecimalEncoder, self).default(o)
def update_intent_handler(intent, session):
""" Message that is sent right when you launch your application
"""
session_attributes = {}
card_title = "Welcome"
speech_output = ""
days = intent['slots']['days']['value']
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('EnrichedFrame')
if (days == "today" or days == "today's"):
count_total =0
beg = datetime.combine(date.today(),time())
today = datetime.now()
timestamp_curr = int(datetime.timestamp(today)) + 19785
timestamp_beg = int(datetime.timestamp(beg)) + 19785
# For vehicle
count_car = 0
response1=table.scan(
FilterExpression=Key('notification_type').eq('vehicle') & Key('approx_capture_timestamp').between(timestamp_beg, timestamp_curr)
)
speech_output_car = "A car was spotted at "
for i in response1['Items']:
count_car = count_car + 1
x = json.dumps(i, cls=DecimalEncoder)
y = json.loads(x)
z = y['approx_capture_timestamp']
readable = tym.ctime(z)
hour = readable[11:16]
speech_output_car += hour + " and "
speech_output_car = speech_output_car[:len(speech_output_car)-4]
# For Unknown
count_unknown = 0
response2=table.scan(
FilterExpression=Key('notification_type').eq('unknown') & Key('approx_capture_timestamp').between(timestamp_beg, timestamp_curr)
)
speech_output_unknown = "An Unknown was spotted at "
for i in response2['Items']:
count_unknown = count_unknown + 1
x = json.dumps(i, cls=DecimalEncoder)
y = json.loads(x)
z = y['approx_capture_timestamp']
readable = tym.ctime(z)
hour = readable[11:16]
speech_output_unknown += hour + " and "
speech_output_unknown = speech_output_unknown[:len(speech_output_unknown)-4]
# For Known
count_known = 0
response3=table.scan(
FilterExpression=Key('notification_type').eq('known') & Key('approx_capture_timestamp').between(timestamp_beg, timestamp_curr)
)
speech_output_known = ""
for i in response3['Items']:
count_known = count_known + 1
x = json.dumps(i, cls=DecimalEncoder)
y = json.loads(x)
z = y['approx_capture_timestamp']
name = y['external_image_id']
readable = tym.ctime(z)
hour = readable[11:16]
speech_output_known += name + " was spotted at " + hour + ", "
speech_output_known = speech_output_known[:len(speech_output_known)-2]
count_total = count_known + count_unknown + count_car
speech_output += "Total " + str(count_total) + " things were spotted today. "
if(count_known>0):
speech_output += speech_output_known + " and "
if(count_unknown>0):
speech_output += speech_output_unknown + " and "
if(count_car>0):
speech_output += speech_output_car + " and "
# If the user either does not reply to the welcome message or says something
# that is not understood, they will be prompted again with this text.
reprompt_text = "I don't know if you heard me, welcome to your custom alexa application!"
speech_output = speech_output[:-4] + " ."
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def get_welcome_response():
""" Message that is sent right when you launch your application
"""
session_attributes = {}
card_title = "Welcome"
speech_output = "Welcome to Jupyter doorbell skill."
# If the user either does not reply to the welcome message or says something
# that is not understood, they will be prompted again with this text.
reprompt_text = "I don't know if you heard me, welcome to your custom alexa application!"
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def handle_session_end_request():
card_title = "Session Ended"
speech_output = "Thank you for using Jupyter. Have a nice day!."
# Setting this to true ends the session and exits the skill.
should_end_session = True
return build_response({}, build_speechlet_response(
card_title, speech_output, None, should_end_session))
# --------------- Events ------------------
def on_session_started(session_started_request, session):
""" Called when the session starts.
One possible use of this function is to initialize specific
variables from a previous state stored in an external database
"""
# Add additional code here as needed
pass
def on_launch(launch_request, session):
""" Called when the user launches the skill without specifying what they
want
"""
# Dispatch to your skill's launch message
return get_welcome_response()
def on_intent(intent_request, session):
""" Called when the user specifies an intent for this skill """
intent = intent_request['intent']
intent_name = intent_request['intent']['name']
# Dispatch to your skill's intent handlers
if intent_name == "HelloIntent":
return hello_intent_handler()
elif intent_name == "UpdateIntent":
return update_intent_handler(intent, session)
elif intent_name == "SpecificUpdateIntent":
return SpecificUpdate_intent_handler(intent, session)
elif intent_name == "SnapshotIntent":
return Snapshot_intent_handler(intent, session)
elif intent_name == "AMAZON.HelpIntent":
return get_welcome_response()
elif intent_name == "AMAZON.CancelIntent" or intent_name == "AMAZON.StopIntent":
return handle_session_end_request()
else:
raise ValueError("Invalid intent")
def on_session_ended(session_ended_request, session):
""" Called when the user ends the session.
Is not called when the skill returns should_end_session=true
"""
print("on_session_ended requestId=" + session_ended_request['requestId'] +
", sessionId=" + session['sessionId'])
# add cleanup logic here
# --------------- Main handler ------------------
def lambda_handler(event, context):
""" Route the incoming request based on type (LaunchRequest, IntentRequest,
etc.) The JSON body of the request is provided in the event parameter.
"""
print("Incoming request...")
if event['session']['new']:
on_session_started({'requestId': event['request']['requestId']},
event['session'])
if event['request']['type'] == "LaunchRequest":
return on_launch(event['request'], event['session'])
elif event['request']['type'] == "IntentRequest":
return on_intent(event['request'], event['session'])
elif event['request']['type'] == "SessionEndedRequest":
return on_session_ended(event['request'], event['session'])