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lambda.py
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227 lines (178 loc) · 6.45 KB
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### Required Libraries ###
from datetime import datetime
from dateutil.relativedelta import relativedelta
import requests
### Functionality Helper Functions ###
def parse_float(n):
"""
Securely converts a non-numeric value to float.
"""
try:
return float(n)
except ValueError:
return float("nan")
def get_user(email):
"""
Checks if the user exist or not in the api / database
"""
response = requests.get(f"http://ec2-3-84-237-106.compute-1.amazonaws.com/stocksanalysis/check-user/{email}")
response_json = response.json()
return response_json['Body']['user-id']
def parse_user(user):
"""
Parse the user data to the database / api
"""
response = requests.get(f"http://ec2-3-84-237-106.compute-1.amazonaws.com/stocksanalysis/parse-user?email={user['email']}&name={user['name']}")
response_json = response.json()
return response_json
def parse_stocks(user):
"""
Parse the tickers to the portfolio
"""
response = requests.get(f"http://ec2-3-84-237-106.compute-1.amazonaws.com/stocksanalysis/parse-stocks?email={user['email']}&tickers={user['tickers']}")
response_json = response.json()
return response_json
def build_validation_result(is_valid, violated_slot, message_content):
"""
Defines an internal validation message structured as a python dictionary.
"""
if message_content is None:
return {"isValid": is_valid, "violatedSlot": violated_slot}
return {
"isValid": is_valid,
"violatedSlot": violated_slot,
"message": {"contentType": "PlainText", "content": message_content},
}
def validate_data(email,tickers, intent_request):
"""
Validates the data provided by the user.
"""
# Validate the email and name
if email is None:
return build_validation_result(
False,
"email",
"The email cannot be empty, "
"please provide an email",
)
# Validate the tickers
if tickers is not None:
tmp_list = tickers.split(';')
if len(tmp_list) <= 0:
return build_validation_result(
False,
"Tickers",
"The tickers should be separate by semicolon(FB;MSFT; ... ) , "
"Please specify properly the tickers.",
)
# A True results is returned if age or amount are valid
return build_validation_result(True, None, None)
### Dialog Actions Helper Functions ###
def get_slots(intent_request):
"""
Fetch all the slots and their values from the current intent.
"""
return intent_request["currentIntent"]["slots"]
def elicit_slot(session_attributes, intent_name, slots, slot_to_elicit, message):
"""
Defines an elicit slot type response.
"""
return {
"sessionAttributes": session_attributes,
"dialogAction": {
"type": "ElicitSlot",
"intentName": intent_name,
"slots": slots,
"slotToElicit": slot_to_elicit,
"message": message,
},
}
def delegate(session_attributes, slots):
"""
Defines a delegate slot type response.
"""
return {
"sessionAttributes": session_attributes,
"dialogAction": {"type": "Delegate", "slots": slots},
}
def close(session_attributes, fulfillment_state, message):
"""
Defines a close slot type response.
"""
response = {
"sessionAttributes": session_attributes,
"dialogAction": {
"type": "Close",
"fulfillmentState": fulfillment_state,
"message": message,
},
}
return response
### Intents Handlers ###
def stock_analysis(intent_request):
name = get_slots(intent_request)["name"]
email = get_slots(intent_request)["email"]
tickers = get_slots(intent_request)["tickers"]
# Gets the invocation source, for Lex dialogs "DialogCodeHook" is expected.
source = intent_request["invocationSource"] #
if source == "DialogCodeHook":
# This code performs basic validation on the supplied input slots.
# Gets all the slots
slots = get_slots(intent_request)
# Validates user's input using the validate_data function
validation_result = validate_data(email,tickers, intent_request)
# If the data provided by the user is not valid,
# the elicitSlot dialog action is used to re-prompt for the first violation detected.
if not validation_result["isValid"]:
slots[validation_result["violatedSlot"]] = None # Cleans invalid slot
# Returns an elicitSlot dialog to request new data for the invalid slot
return elicit_slot(
intent_request["sessionAttributes"],
intent_request["currentIntent"]["name"],
slots,
validation_result["violatedSlot"],
validation_result["message"],
)
# Fetch current session attributes
output_session_attributes = intent_request["sessionAttributes"]
# Once all slots are valid, a delegate dialog is returned to Lex to choose the next course of action.
return delegate(output_session_attributes, get_slots(intent_request))
# Create the user if doesn't exist
user = {}
user['name'] = name
user['email'] = email
user['tickers'] = tickers
user_id = get_user(user['email'])
if user_id is None:
status = parse_user(user)
if status['StatusCode'] == 200:
parse_stocks(user)
else:
parse_stocks(user)
# Return a message with conversion's result.
return close(
intent_request["sessionAttributes"],
"Fulfilled",
{
"contentType": "PlainText",
"content": "Your stocks will be analyze and you will get an update soon by email"
},
)
### Intents Dispatcher ###
def dispatch(intent_request):
"""
Called when the user specifies an intent for this bot.
"""
# Get the name of the current intent
intent_name = intent_request["currentIntent"]["name"]
# Dispatch to bot's intent handlers
if intent_name == "StocksAnalyzer":
return stock_analysis(intent_request)
raise Exception("Intent with name " + intent_name + " not supported")
### Main Handler ###
def lambda_handler(event, context):
"""
Route the incoming request based on intent.
The JSON body of the request is provided in the event slot.
"""
return dispatch(event)