This library simplifies the JSON response building in Python for Dialogflow fulfillment.
Using this libray you can build the JSON objects with few line.
Supported Platforms - Actions on Google, Facebook Messenger and Telegram
Update - We have published a tutorial to create a basic webhook in Python + Django Dialogflow Tutorial: Create Fulfillment Webhook Using Python + Django which will be useful to setup this library in Python + Django. We have also published a new repo to showcase examples of creating different responses using this library.
To get started just import all the functions from the library using the following statement
from df_response_lib import *
Actions on Google
Facebook and Telegram
DF-messenger Responses
Dialogflow Fulfillment Responses
simple_response(responses)
responses - list of simple responses
["Text to be displayed", "Text to be spoken", ssml=True|False]
ex.
aog_sr = aog.simple_response([
["Hello", "Hi", False],
["Hey!!", "<speak>Hey</speak>", True]
])
basic_card(title, subtitle="", formattedText="", image=None, buttons=None)
title is the title of card - string
subtitle is the subtitle of the card - string
formattedText is the description of the card - limited markdown
image display image in the card - list
image = [imageUri, accessibilityText]
buttons add buttons to thr card
buttons = [
[button_title, url]
]
ex.
image = ['https://imagepath.com/path.png', 'sample image']
buttons = [
['button_1', 'https://www.google.com/'],
['button 2', 'https://www.facebook.com/']
]
aog_card = aog.basic_card("card title", "card subtitle", "card *description*", image, buttons)
suggestion_chips(suggestions)
suggestions - list of suggestions upto 8 items (one item length upto 25)
suggestions = ['chip1', 'chip2', 'chip3', 'chip4']
ex.
aog_suggestions = aog.suggestion_chips(suggestions)
link_out_suggestion(title, url)
title - Text to be shown in suggestion
url - Link URL
ex.
title = "Link to google"
url = "https://www.google.com/"
aog_los = aog.link_out_suggestion(title, url)
list_select(list_title, list_elements)
list_title - title of the list
list_elements - list of items of the list select
[
['item_title', 'item_description', item_info=['item_key', item_synonyms=['synonym1', 'synonym2'], ['imageURL', 'imageDescription']],
['item2_title', 'item2_description', item_info=['item_key', item_synonyms=['synonym1', 'synonym2'], ['imageURL', 'imageDescription']]
]
ex.
list_elements = [
['item_title', 'item_description', ['item_key', ['synonym1', 'synonym2'], ['imageURL', 'imageDescription']],
['item2_title', 'item2_description', ['item2_key',['synonym1', 'synonym2'], ['imageURL', 'imageDescription']]
]
aog_list = aog.list_select("this is a list', list_elements)
text_response(texts)
texts - list of text
['text1', 'text2', 'text3']
ex.
texts = ['text1', 'text2', 'text3']
text_res = fb.text_response(texts)
quick_replies(title, quick_replies_list)
quick_replies_list - list of quick replies text
['reply1', 'reply2', 'reply3']
ex.
title = "Choose something"
replies= ['reply1', 'reply2', 'reply3']
fb_quick_replies = fb.quick_replies(title, replies)
image_response(url)
url - image URL
ex.
url = "https://www.xyz.com/image.png"
fb_image = fb.image_response(url)
card_response(title, buttons)
card title - title of the card
buttons - list of buttons
[
['button1', 'hello'],
['button2', 'hello again']
]
ex.
title = "this is a card"
buttons = [
['button1', 'hello'],
['button2', 'hello again']
]
fb_card = fb.card_response(title, buttons)
wb = web_response()
texts - list of text
['simple response']
ex.
texts = ['simple response']
text_res = wb.simple_response(texts)
suggestion_chips(suggestion_chips_list)
suggestion_chips_list - list of suggestion chips text
['reply1', 'reply2', 'reply3']
ex.
replies= ['reply1', 'reply2', 'reply3']
wb_suggestion_chips = wb.suggestion_chips(replies)
image_response(url, accessibility_text)
url - image URL
ex.
accessibility_text = "This is an accessibility text"
url = "https://www.xyz.com/image.png"
wb_image = wb.image_response(url, accessibility_text)
card_response(title, sub_title, raw_url, action_link)
title - title of the card
sub_title - sub title of the card
raw_url - URL of image for card
action_link - redirect URL for card
ex.
title = "title"
sub_title = "subtitle"
raw_url = "www.xyz.com"
action_link = "www.abc.com"
wb_card = wb.simple_title_card(title, sub_title, raw_url, action_link)
informative_card(title, text_list)
title - title of the card
text_list - list of text to be displayed in the card
ex.
title = "title"
text_list = ["Sample Text1","Sample Text2","Sample Text3"]
informative_card = wb.informative_card(title, text_list)
small_button(text, url)
text - text for button
url - URL for image to be displayed on the button
ex.
text = "Sample text"
url = "www.xyz.com"
wb_card = wb.small_button(text, url)
card_with_multiple_options(data)
data - list of dictionary with title and subtitle for the card
ex.
data = [
{
"title": "title1",
"subtitle": "subtitle1"
},
{
"title": "title2",
"subtitle": "subtitle2"
}
]
wb_card = wb.card_with_multiple_options(data)
accordion_small_card(title, sub_title, raw_url, text)
title - title of the card
sub_title - sub title of the card
raw_url - URL of image for the card
text - text for the card
ex.
title = "title"
sub_title = "subtitle"
raw_url = "www.xyz.com"
text = "Sample Text"
wb_card = wb.accordion_small_card(title, sub_title, raw_url, text)
fulfillment_text(fulfillmentText)
fulfillmentText - defult response text ex.
text = "This is a fulfillment text"
df_fft = main_response.fulfillment_text(text)
fulfillment_messages(self, response_objects)
response_objects - list of supported response (any of the above)
[aog_sr, aog_list, aog_suggestions, fb_text, fb_card]
ex.
res_objects = [aog_sr, aog_list, aog_suggestions]
ff_msgs = main_response.fulfillment_messages(res_objects)
output_contexts(session, contexts)
session - session Id of the request
contexts - list of contexts
[
['context_name', 'lifespanCount',
{
'paramter_name': 'value'
}
]
]
followup_event_input(name, parameters)
name - event name
paramters - event parameters
{
'parameter_name': 'values',
'another_parameter_name': 'values',
}
main_response(fulfillment_text, fulfillment_messages=None, output_contexts=None, followup_event_input=None):
fulfillment_text - Fulfillment text object
fulfillment_messages - Fulfillment messages object
output_contextstext - Output contexts object
followup_event_input - Followup event input object
Return this as your main fulfillment response.
We are working to add more responses in the future. Please give your feedback and do contribute if you like.
Developed by Pragnakalp Techlabs - Artificial Intelligence, Machine Learning, Deep Learning, Chatbots Development