def reply_handler(request):
message = "Sorry, I couldn't tell which tweet you want to reply to. "
slots = request.get_slot_map()
user_state = twitter_cache.get_user_state(request.access_token())
should_end_session = True
if not slots["Tweet"]:
return reply_focus_handler(request)
else:
can_reply = False
if slots['Tweet'] and not (slots['Ordinal'] or slots['Index']):
user_state = twitter_cache.get_user_state(request.access_token())
if 'focus_tweet' in user_state: # User is focused on a tweet
can_reply = True
else:
index = focused_on_tweet(request)
if index: can_reply = True
if can_reply: # Successfully focused on a tweet
index, focus_tweet = user_state['focus_tweet']
tweet_message = "@{0} {1}".format(focus_tweet.get_screen_name(),
slots['Tweet'])
params = {"in_reply_to_status_id": focus_tweet.get_id()}
def action():
print ("Performing action! lambda functions are awesome!")
message = post_tweet(request.access_token(), tweet_message, params)
del user_state['focus_tweet']
return message
should_end_session = False
message = "I am ready to post the tweet, {}. Please say yes to confirm or stop to cancel.".format(slots['Tweet'])
user_state['pending_action'] = {"action" : action,
"description" : message }
return alexa.create_response(message=message, end_session=should_end_session)
def find_trends_handler(request):
uid = request.access_token()
user_cache = twitter_cache.get_user_state(uid)
resolved_location = False
message = ""
location = request.get_slot_value("Location")
should_end_session = True
if not location:
# Get trends for user's current location
user_details = get_user_twitter_details(uid)
location = user_details[0]['location']
if location:
message += "Finding trends near you . "
else:
message += "I could not figure out where you are, please set it up on your twitter account . "
if location:
response = geo_search(request.access_token(), location) # convert natural language text to location
top_result = response['result']['places'][0]
lon, lat = top_result['centroid']
trend_params = {"lat" : lat, "long" : lon}
trend_location = closest_trend_search(request.access_token(), trend_params) # find closest woeid which has trends
woeid = trend_location[0]['woeid']
trends = list_trends(request.access_token(), trend_location[0]['woeid']) # List top trends
trend_lst = [trend['name'] for trend in trends[0]['trends']]
message += "The top trending topics near {0} are, ".format(trend_location[0]['name'])
message += "\n".join(["{0}, {1}, ".format(index+1, trend) for index, trend in enumerate(trend_lst)])
return alexa.create_response(message=message, end_session=should_end_session)
def focused_on_tweet(request):
"""
Return index if focused on tweet False if couldn't
"""
slots = request.get_slot_map()
if "Index" in slots and slots["Index"]:
index = int(slots['Index'])
elif "Ordinal" in slots and slots["Index"]:
parse_ordinal = lambda inp: int("".join(
[l for l in inp if l in string.digits]))
index = parse_ordinal(slots['Ordinal'])
else:
return False
index = index - 1 # Going from regular notation to CS notation
user_state = twitter_cache.get_user_state(request.access_token())
queue = user_state['user_queue'].queue()
if index < len(queue):
# Analyze tweet in queue
tweet_to_analyze = queue[index]
user_state['focus_tweet'] = tweet_to_analyze
return index + 1 # Returning to regular notation
twitter_cache.serialize()
return False
def post_tweet_intent_handler(request):
"""
Use the 'intent' field in the VoiceHandler to map to the respective intent.
"""
tweet = request.get_slot_value("Tweet")
tweet = tweet if tweet else ""
if tweet:
user_state = twitter_cache.get_user_state(request.access_token())
def action():
return post_tweet(request.access_token(), tweet)
message = "I am ready to post the tweet, {} ,\n Please say yes to confirm or stop to cancel .".format(
tweet)
user_state['pending_action'] = {
"action": action,
"description": message
}
return r.create_response(message=message, end_session=False)
else:
# No tweet could be disambiguated
message = " ".join([
"I'm sorry, I couldn't understand what you wanted to tweet .",
"Please prepend the message with either post or tweet ."
])
return alexa.create_response(message=message, end_session=False)
def launch_request_handler(request):
""" Annotate functions with @VoiceHandler so that they can be automatically mapped
to request types. Use the 'request_type' field to map them to non-intent requests """
user_id = request.access_token()
if user_id in twitter_cache.users():
user_cache = twitter_cache.get_user_state(user_id)
user_cache["amzn_id"] = request.user_id()
base_message = "Welcome to Twitter, {} . How may I help you today ?".format(
user_cache["screen_name"])
print(user_cache)
if 'pending_action' in user_cache:
base_message += " You have one pending action . "
print("Found pending action")
if 'description' in user_cache['pending_action']:
print("Found description")
base_message += user_cache['pending_action']['description']
return r.create_response(base_message)
card = r.create_card(title="Please log into twitter",
card_type="LinkAccount")
return r.create_response(
message="Welcome to twitter, looks like you haven't logged in!"
" Log in via the alexa app.",
card_obj=card,
end_session=True)
def more_info_handler(request):
index = focused_on_tweet(request)
if index:
user_state = twitter_cache.get_user_state(request.access_token())
index, tweet = user_state['focus_tweet']
message = " ".join(["details about tweet number {}.".format(index+1), tweet.detailed_description(),
"To reply, say 'reply' followed by your message"])
return alexa.create_response(message=message, end_session=False)
return reply_focus_handler(request)
def cancel_action_handler(request):
message = "okay."
user_state = twitter_cache.get_user_state(request.access_token())
should_end_session = True
if 'pending_action' in user_state:
del user_state['pending_action'] # Clearing out the user's pending action
print ("cleared user_state")
message += " i won't do it. would you like me to do something else ? "
should_end_session = False
return r.create_response(message, end_session=should_end_session)
def cancel_action_handler(request):
message = "okay."
user_state = twitter_cache.get_user_state(request.access_token())
should_end_session = True
if 'pending_action' in user_state:
del user_state[
'pending_action'] # Clearing out the user's pending action
print("cleared user_state")
message += " i won't do it. would you like me to do something else ? "
should_end_session = False
return r.create_response(message, end_session=should_end_session)
def more_info_handler(request):
index = focused_on_tweet(request)
if index:
user_state = twitter_cache.get_user_state(request.access_token())
index, tweet = user_state['focus_tweet']
message = " ".join([
"details about tweet number {}.".format(index + 1),
tweet.detailed_description(),
"To reply, say 'reply' followed by your message"
])
return alexa.create_response(message=message, end_session=False)
return reply_focus_handler(request)
def reply_handler(request):
message = "Sorry, I couldn't tell which tweet you want to reply to. "
slots = request.get_slot_map()
user_state = twitter_cache.get_user_state(request.access_token())
should_end_session = True
if not slots["Tweet"]:
return reply_focus_handler(request)
else:
can_reply = False
if slots['Tweet'] and not (slots['Ordinal'] or slots['Index']):
user_state = twitter_cache.get_user_state(request.access_token())
if 'focus_tweet' in user_state: # User is focused on a tweet
can_reply = True
else:
index = focused_on_tweet(request)
if index: can_reply = True
if can_reply: # Successfully focused on a tweet
index, focus_tweet = user_state['focus_tweet']
tweet_message = "@{0} {1}".format(focus_tweet.get_screen_name(),
slots['Tweet'])
params = {"in_reply_to_status_id": focus_tweet.get_id()}
def action():
print("Performing action! lambda functions are awesome!")
message = post_tweet(request.access_token(), tweet_message,
params)
del user_state['focus_tweet']
return message
should_end_session = False
message = "I am ready to post the tweet, {}. Please say yes to confirm or stop to cancel.".format(
slots['Tweet'])
user_state['pending_action'] = {
"action": action,
"description": message
}
return alexa.create_response(message=message,
end_session=should_end_session)
def confirm_action_handler(request):
message = "okay."
user_state = twitter_cache.get_user_state(request.access_token())
should_end_session = True
if 'pending_action' in user_state:
params = user_state['pending_action']
# Perform action
message = params['action']()
if 'message' in params:
message = params['message']
if 'callback' in params:
params['callback']()
del user_state['pending_action']
print ("successfully executed command")
message = message + " would you like me to do anything else ? "
should_end_session = False
return alexa.create_response(message, end_session=should_end_session)
def confirm_action_handler(request):
message = "okay."
user_state = twitter_cache.get_user_state(request.access_token())
should_end_session = True
if 'pending_action' in user_state:
params = user_state['pending_action']
# Perform action
message = params['action']()
if 'message' in params:
message = params['message']
if 'callback' in params:
params['callback']()
del user_state['pending_action']
print("successfully executed command")
message = message + " would you like me to do anything else ? "
should_end_session = False
return alexa.create_response(message, end_session=should_end_session)
def find_trends_handler(request):
uid = request.access_token()
user_cache = twitter_cache.get_user_state(uid)
resolved_location = False
message = ""
location = request.get_slot_value("Location")
should_end_session = True
if not location:
# Get trends for user's current location
user_details = get_user_twitter_details(uid)
location = user_details[0]['location']
if location:
message += "Finding trends near you . "
else:
message += "I could not figure out where you are, please set it up on your twitter account . "
if location:
response = geo_search(
request.access_token(),
location) # convert natural language text to location
top_result = response['result']['places'][0]
lon, lat = top_result['centroid']
trend_params = {"lat": lat, "long": lon}
trend_location = closest_trend_search(
request.access_token(),
trend_params) # find closest woeid which has trends
woeid = trend_location[0]['woeid']
trends = list_trends(request.access_token(),
trend_location[0]['woeid']) # List top trends
trend_lst = [trend['name'] for trend in trends[0]['trends']]
message += "The top trending topics near {0} are, ".format(
trend_location[0]['name'])
message += "\n".join([
"{0}, {1}, ".format(index + 1, trend)
for index, trend in enumerate(trend_lst)
])
return alexa.create_response(message=message,
end_session=should_end_session)
def launch_request_handler(request):
""" Annotate functions with @VoiceHandler so that they can be automatically mapped
to request types. Use the 'request_type' field to map them to non-intent requests """
user_id = request.access_token()
if user_id in twitter_cache.users():
user_cache = twitter_cache.get_user_state(user_id)
user_cache["amzn_id"]= request.user_id()
base_message = "Welcome to Twitter, {} . How may I help you today ?".format(user_cache["screen_name"])
print (user_cache)
if 'pending_action' in user_cache:
base_message += " You have one pending action . "
print ("Found pending action")
if 'description' in user_cache['pending_action']:
print ("Found description")
base_message += user_cache['pending_action']['description']
return r.create_response(base_message)
card = r.create_card(title="Please log into twitter", card_type="LinkAccount")
return r.create_response(message="Welcome to twitter, looks like you haven't logged in!"
" Log in via the alexa app.", card_obj=card,
end_session=True)
def post_tweet_intent_handler(request):
"""
Use the 'intent' field in the VoiceHandler to map to the respective intent.
"""
tweet = request.get_slot_value("Tweet")
tweet = tweet if tweet else ""
if tweet:
user_state = twitter_cache.get_user_state(request.access_token())
def action():
return post_tweet(request.access_token(), tweet)
message = "I am ready to post the tweet, {} ,\n Please say yes to confirm or stop to cancel .".format(tweet)
user_state['pending_action'] = {"action" : action,
"description" : message}
return r.create_response(message=message, end_session=False)
else:
# No tweet could be disambiguated
message = " ".join(
[
"I'm sorry, I couldn't understand what you wanted to tweet .",
"Please prepend the message with either post or tweet ."
]
)
return alexa.create_response(message=message, end_session=False)
def focused_on_tweet(request):
"""
Return index if focused on tweet False if couldn't
"""
slots = request.get_slot_map()
if "Index" in slots and slots["Index"]:
index = int(slots['Index'])
elif "Ordinal" in slots and slots["Index"]:
parse_ordinal = lambda inp : int("".join([l for l in inp if l in string.digits]))
index = parse_ordinal(slots['Ordinal'])
else:
return False
index = index - 1 # Going from regular notation to CS notation
user_state = twitter_cache.get_user_state(request.access_token())
queue = user_state['user_queue'].queue()
if index < len(queue):
# Analyze tweet in queue
tweet_to_analyze = queue[index]
user_state['focus_tweet'] = tweet_to_analyze
return index + 1 # Returning to regular notation
twitter_cache.serialize()
return False