Alexa Custom Skill - Stock Prices

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Author: Tristan Brodeur Email: brodeurtristan@gmail.com Date: Last modified on 01/16/17 Keywords: Alexa, Amazon Skills Kit

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Overview

Create an Alexa Skill that returns stock data for 10 listed companies.

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1. Create a Lambda Function

To create a lambda function, follow this tutorial: Creating a lambda function

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2. Add the code

The code below is commented out in order to provide you with a better understanding. If you have any further questions, please feel free to contact me at the email listed above.

index.py

import requests
from bs4 import BeautifulSoup
'''
Amazon alexa skill to grab stock data from yahoo finance and present data to user
Currently has database of ~10 companies
Future updates to include database of all S&P 500 companies if data size allows
'''
##################################################################
def lambda_handler(event, context):
	#Checks to make sure application id is same as alexa skill (links)
	if (event['session']['application']['applicationId'] !=
		#Change to application id listed under your alexa skill in the developer portal
		"amzn1.ask.skill.XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"):
		raise ValueError("Invalid Application ID")
 
	if event["session"]["new"]:
		on_session_started({"requestId": event["request"]["requestId"]}, event["session"])
		#check event types and call appropriate response
		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"])
##################################################################
def on_session_started(session_started_request, session):
	print "Starting new."
##################################################################
def on_launch(launch_request, session):
	return get_welcome_response()
##################################################################
def on_intent(intent_request, session):
	intent = intent_request["intent"]
	intent_name = intent_request["intent"]["name"]
 
	if intent_name == "GetCurrentPrice":
		return get_current_price(intent)
	elif intent_name == "GetHigh":
		return get_high(intent)
	elif intent_name == "GetLow":
		return get_low(intent)
	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):
	print "Ending session."
##################################################################
def handle_session_end_request():
	card_title = "Stocker"
	speech_output = "Im sorry dave. Im afraid I cant do that."
	should_end_session = True
	return build_response({}, build_speechlet_response(card_title, speech_output, None, should_end_session))
##################################################################
def get_welcome_response():
	#Response to user invoking stock app without parameters/intents
	session_attributes = {}
	card_title = "Stocker"
	speech_output = "Welcome to the Stocker skill. " \
	 	"You can ask me for current stock prices, or " \
	 	"ask me about stock highs and lows."
	reprompt_text = "Please ask me for stock prices, " \
		"for example Apple stock price."
	should_end_session = False
	return build_response(session_attributes, build_speechlet_response(
        card_title, speech_output, reprompt_text, should_end_session))
 
##################################################################
def find_availability(to_find, restaurant):
	page = requests.get("")
	page_data = BeautifulSoup(page.content, "html.parser")
 
 
##################################################################
def grab_data(to_find, ticker_code):
 
	if ticker_code != "EVRGRN":
		#send http response fro yahoo finance to grab data based on passed in ticker code
		page = requests.get("https://finance.yahoo.com/quote/" + ticker_code + "?p=" + ticker_code)
		#resolves the page content into its component parts
		data = BeautifulSoup(page.content, "html.parser")
 
		if to_find == "get_current_price":
			#grab text from appropriate class and return to current object
			current = data.find(class_ = "Fw(b) Fz(36px) Mb(-4px)").get_text()
			#find index of decimal point to seperate dollars from cents
			index = current.index('.')
			dollars = current[:index]
			cents =  current[index+1:]
			#map each component in list to a string object, and join via str operator (in this case nothing, so it joins together)
			dollars = ''.join(map(str, dollars))
			cents = ''.join(map(str, cents))
			return dollars + " dollars and " + cents + " cents"
 
		elif to_find == "get_high" or to_find =="get_low":
			classes= data.find_all(class_ = "Ta(end) Fw(b)")
			#several stock values are listed under the class with the given value, so
			#we grab fourth object in list of classes, returning stock range
			stock_range = list(classes[4].get_text())
			#since text we grab is not in unicode, we grab each str object and encode it with UTF8
			stock_range = [x.encode('UTF8') for x in stock_range]
			if to_find == "get_high":
				high = ""
				for letter in stock_range:
					#since returned list of str objects are a range from low to high (e.g. $$ - $$), we grab second half of data for high value
					if letter == '-':
						high = stock_range[stock_range.index(letter)+2:]
						index = high.index('.')
						dollars = high[:index]
						cents =  high[index+1:]
						#map each component in list to a string object, and join via str operator (in this case nothing, so it joins together)
						dollars = ''.join(map(str, dollars))
						cents = ''.join(map(str, cents))
						return dollars + " dollars and" + cents + " cents"
			elif to_find == "get_low":
				low = ""
				for letter in stock_range:
					#since returned list of str objects are a range from high to low (e.g. $$-$$), we grab first half of data for low value
					if letter == '-':
						low = stock_range[:stock_range.index(letter)-1]
						index = low.index('.')
						dollars = low[:index]
						cents =  low[index+1:]
						#map each component in list to a string object, and join via str operator (in this case nothing, so it joins together)
						dollars = ''.join(map(str, dollars))
						cents = ''.join(map(str, cents))
						return dollars + " dollars and " + cents + " cents"
	#cor is on its way
	else:
		if to_find == "get_current_price":
			return "over 9000"
		elif to_find == "get_high" or to_find =="get_low":
			return "not yet available. Please ask Tristan"
##################################################################
def get_current_price(intent):
	session_attributes = {}
	card_title = "Current Stock Price"
	speech_output = "I'm not sure which company you wanted stock prices for. " \
                    "Please try again."
	reprompt_text = "I'm not sure which company you wanted stock prices for. " \
                    "Please try again."
	should_end_session = False
 
	if "Ticker" in intent["slots"]:
    		ticker_name = intent["slots"]["Ticker"]["value"]
    		#grab appropriate value based on name from ticke code dict
        	ticker_code = get_ticker_code(ticker_name.lower())
 
      	if (ticker_code != "unkn"):
      		card_title = "Current price for  " + ticker_name.title()
      		price = grab_data(get_current_price.__name__, ticker_code)
      		speech_output = "Current price for  " + ticker_name + " is: " + price
      		reprompt_text = ""
      		should_end_session = True
 
	return build_response(session_attributes, build_speechlet_response(
        	card_title, speech_output, reprompt_text, should_end_session))
##################################################################
def get_high(intent):
	session_attributes = {}
	card_title = "Stock High"
	speech_output = "I'm not sure which company you wanted stock prices for. " \
                    "Please try again."
	reprompt_text = "I'm not sure which company you wanted stock prices for. " \
                    "Please try again."
	should_end_session = False
 
	if "Ticker" in intent["slots"]:
    		ticker_name = intent["slots"]["Ticker"]["value"]
    		#grab appropriate value based on name from ticke code dict
        	ticker_code = get_ticker_code(ticker_name.lower())
 
      	if (ticker_code != "unkn"):
      		card_title = "High price for  " + ticker_name.title()
      		price = grab_data(get_high.__name__, ticker_code)
      		speech_output = "Stock high for " + ticker_name +  " is: " + price
      		reprompt_text = ""
      		should_end_session = True
 
	return build_response(session_attributes, build_speechlet_response(
        	card_title, speech_output, reprompt_text, should_end_session))			
##################################################################
def get_low(intent):
	session_attributes = {}
	card_title = "Stock Low"
	speech_output = "I'm not sure which company you wanted stock prices for. " \
			"Please try again."
	reprompt_text = "I'm not sure which company you wanted stock prices for. " \
			"Please try again."
	should_end_session = False
 
	if "Ticker" in intent["slots"]:
		ticker_name = intent["slots"]["Ticker"]["value"]
		#grab appropriate value based on name from ticke code dict
		ticker_code = get_ticker_code(ticker_name.lower())
 
		if (ticker_code != "unkn"):
			card_title = "Low price for  " + ticker_name.title()
      		price = grab_data(get_low.__name__, ticker_code)
      		speech_output = "Stock low for " + ticker_name + " is: " + price
      		reprompt_text = ""
      		should_end_session = True
 
	return build_response(session_attributes, build_speechlet_response(
      	card_title, speech_output, reprompt_text, should_end_session))
##################################################################
def build_speechlet_response(title, output, reprompt_text, should_end_session):
	#return data in json format to alexa skills kit
	return {
		"outputSpeech": {
     			"type": "PlainText",
     			"text": output
     		},
     		"card": {
     			"type": "Simple",
     			"title": title,
     			"content": output
     		},
     		"reprompt": {
     			"outputSpeech": {
     				"type": "PlainText",
     				"text": reprompt_text
     			}
     		},
     		"shouldEndSession": should_end_session
     	}
##################################################################
def get_ticker_code(ticker_name):
	#function to grab associated value based on ticker_name parameter
	return{
		'alphabet': 'GOOGL', 
		'apple': 'AAPL',
		'amazon':'AMZN', 
		'tesla':'TSLA', 
		'oracle':'ORCL', 
		'irobot':'IRBT',
		'microsoft':'MSFT', 
		'facebook':'FB',
		'intel':'INTC',
		'ibm':'IBM', 
		'evergreen robotics': 'EVRGRN',
		'netflix':'NFLX'
	}.get(ticker_name, "unkn")
##################################################################
def build_response(session_attributes, speechlet_response):
	return {
		"version": "1.0",
		"sessionAttributes": session_attributes,
		"response": speechlet_response
}		

Make sure to change the application id listed in lambda_handler() to your own id once you create the Alexa Skill with Alexa Skills Kit

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After the code is added, configure your lambda function with the Alexa Skills Kit.