Build a Google Assistant App with DialogFlow
Storing users data in the users storage using Firebase Cloud Functions and DialogFlow
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During a conversation with your action, you can temporarily store the data in the conversationToken. For the Node.js client, the token can easily be accessed from the conv.data
object. This allows the developer to retain data between intents.
To store data between conversations you can use the userStorage. However, to store the data you need to ask for consent from the user. Once granted the data can be retrieved in a new conversation.
Summary of content
- Reading the hero information from the parameter
- Storing the hero in the conversationToken
- Requesting permission from the user for access to the userStorage
- Adding the intent to handle the confirmation
- Testing the saving in the simulator
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Lessons in Build a Google Assistant App with DialogFlow
Introduction to Actions on Google and using the Google Assistant
02:03
DialogFlow and the other available options of actions on Google

01:31
Creating an Google Assistant Action with DialogFlow

01:22
Creating your first DialogFlow Intent

01:09
Creating Dialog Follow up intents

01:42
Using the DialogFlow System Entities

Pro
01:04
Creating your first DialogFlow entity

Pro
01:14
Making your DialogFlow action smarter by editing the training phrases from the users usage

Pro
01:12
Having a better understanding of the Welcome and Fallback intents in DialogFlow

Pro
01:24
Ending your DialogFlow conversation

Pro
01:13
Create a DialogFlow agent fulfillment webhook using the Inline Editor

Pro
01:36
Deploying a DialogFlow fulfilment cloud function using the Firebase client

Pro
02:24
Adding JavaScript code to Firebase CloudFunction for your DialogFlow action

Pro
02:24
Creating a simple response to the user in JavaScript with Firebase Cloud Functions and DialogFlow

Pro
01:40
Creating a BasicCard UI element response with Firebase Cloud Functions and DialogFlow

Pro
01:57
Creating a Carousel of items UI element response with Firebase Cloud Functions and DialogFlow

Pro
01:57
Playing a media object to the user with a Firebase Cloud Function using DialogFlow

Pro
01:36
Playing media object and customising the Google's assistant voice using Speech Synthesis Markup Language on DialogFlow

Pro
02:58
Accessing users restricted data by requesting permission using Firebase Cloud Function and DialogFlow

Pro
02:22
Storing users data in the users storage using Firebase Cloud Functions and DialogFlow

Pro
02:09
Reading the stored data in the user storage using Firebase Cloud Functions and DialogFlow

Pro
01:58
Detecting, interacting and sending conversations between surfaces using Firebase Cloud Functions and DialogFlow

Pro
02:39
Debugging and fixing bugs in your Firebase Cloud Function

Pro
01:14
Deploying your Google Assistant Action to testing or production

Pro
01:31

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