I am trying to make a contact flow in amazon connect, in basic terms it should;
"Do you need support" -> Person: "Yes" -> "What is your name?" Person: "John doe", it should save "john doe" and send it to a lamba. this is how the contact flow looks like;
this is the code of my lambda;
error in CloudWatch,
Lambda;
connect;
I have tried a couple of different settings and variables in order to send the right value with it, and this is what is set as of right now;
I think you are using the wrong attribute type when sending the firstname to the lambda. From the type drop down you should select either: User Defined and then use firstname as the key and the value or just select Lex Slots and reference the same value you do in your Set Contact Attributes block.
Also not familiar with Java Lambdas, but I do know connect sends your lambda a JSON object and it looks like you have input set as a string. May be worth looking into that.
It depends, take into account different things:
1- You have to authorize amazon connect to trigger the lambda function.
2- You could send the data to lambda in different ways, for example if you have data in the same ContactFlow but it comes for previous part of the flow or store and send directly to lambda, see the image:
This is how we receive tc_date
And this is how we receive tc_numero but we send to a lambda that encrypts and tc_numero lives in the flow and we called how I show you in first image
Related
I need to get the message from DynamoDB, with some dynamic arguments and show that message in the chat,
Attributes set using the Set Attribute flow in contact flow, are FirstName and LastName
I get this message from dynamoDB using Lambda function as "Hello $.Attributes.FirstName $.Attributes.LastName, thank you for calling" which I pass to the contact flow.
But the contact flow show the message in chat as it is, without replacing parameters with the actual names.
If I put the message directly in the contact flow it works fine, issue occurs if I get it from the Dynamo DB.
Anyone faced this issue before?
I have a Lex bot that is called from Amazon Connect. I have figured out how to allow barge-in from the Connect Get Customer Input. However, that's where it ends. When my Lexbot prompts for my slots, it isn't allowing the caller to barge-in. I figured that the session attribute set in Connect would carry the barge-in to the slots, but it doesn't. Is there a way to allow our callers to barge-in with the slot prompts?
You should be able to barge-in either using DTMF or voice. No configuration is required for DTMF and it should interrupt the prompt.
For voice barge-in, you need to set the session attributes in the Get Customer Input block as defined here. That is, the following attribute needs to be specified:
Key: x-amz-lex:barge-in-enabled:[intentName]:[slotToElicit]
Value: true
Specify the intentName and slotToElicit in the above key for which this functionality should be enabled. Note, wildcards (*) can be used here to enable this for multiple slots/intents.
I am using AppSync with Aurora/RDS.
I would like that in some cases, when a query/mutation is sent to the db, then, after that, I want to send an email and push notification, but this should be detached from the query/mutation, that is, it does not matter if it fails or works.
At the moment I see all these options:
Can you tell me which one I should use?
Create a query that calls a lambda function that sends the
push/email and call it from the client once the actual
query/mutation is done. I don't like this because the logic is in
the client rather than the server. Seems easy to implement, and I
guess it is easy to ignore the result of the second operation from a
client point of view.
A variation of the previous one. Pack both operations in a single
network request. With GraphQL, that is easy, but I don't want the
client waits for the second operation. (Is it possible to create
lambda functions that return immediately, like a trigger of other
functions?)
Attach my queries/mutations to lambda functions instead of RDS
directly. Then, those lambda functions call other lambda functions
for notifications. Seems more difficult to program, but more
micro-services architecture friendly. Probably this is the best one,
not sure.
Use SQL triggers and call lambda functions from those triggers. I
don't know if this is even possible. Researching...
Use pipelines resolvers. The first one is the query/mutation, the
second one is the lambda function that sends the push/email. I would
say this is a bad option because I don't want the client to wait for
the second operation or manage the logic when the second resolver
fails.
Amazon RDS Events: It appears it is possible to attach lambda
functions to specific AWS RDS events.
https://docs.aws.amazon.com/lambda/latest/dg/services-rds.html It
seems it is about creating DBs, restoring... and that kind of
things. I don't see anything like creating a row, updating a row...
So, I discard this unless I am wrong.
Invoking a Lambda Function with an Aurora MySQL Stored Procedure
CALL mysql.lambda_async ( lambda_function_ARN,lambda_function_input )
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Integrating.Lambda.html
"For example, you might want to send a notification using Amazon
Simple Notification Service (Amazon SNS) whenever a row is inserted
into a specific table in your database." That is exactly what I am
looking for. I like this idea, but I don't know if that is possible
with Aurora Serverless. Researching... It seems it is not possible
when using server-less:
https://www.reddit.com/r/aws/comments/a9szid/aurora_serverless_call_lambda/
Use step functions: No idea about how to use it.
Somehow, attach this lambda notification function to GraphQL/AppSync
instead of the database, but I guess it is not a good idea because I
need to read the database to the push notification token and the
email of the use who is going to receive the notifications.
Which method do you recommend me? I am using amplify cli.
Thanks a lot.
Currently AWS AppSync can only send notifications when the app is active. We are looking into implementation of the non active case.
If you want to send notifications when the app is not active, you can use the push notifications on iOS: silent push/interactive push or push notifications on Android.
If you want to send emails, voice/text message or notifications on phone when the app is not active, you can integrate with Amazon Pinpiont.
I was wondering if anybody has ever experimented with this issue I'm having and could give me any input on the subject.
As it stands right now I'm trying to see if there is a way to grab a users input through the AWS Connect. I understand that there is already a "Get User Input" block in the GUI that is available for me to use, unfortunately it does not offer the fine grain control I am looking for with requests and responses from Lex.
Right now I am able to Post Content to Lex and get responses just fine, as well as output speech using Amazon Polly via my Lambda. This works great for things that do not require a user to have to give feedback for a question.
For example if a client asks
"What time is my appointment?"
and we give back
"Your appointment is for X at X time, would you like an email with
this confirmation?"
I want to be able to capture what the user says back within that same lambda.
So the interaction would go like so:
User asks a question.
Lambda POST's it to Lex and gets a response
Amazon Polly says the response - i.e: 'Would you like an email to confirm?'
Lambda then picks up if the user says yes or no - POST's info to Lex
Gets response and outputs voice through Polly.
If anybody has any information on this please let me know, thank you!
Why do you make so much complications to implement IVR system using Amazon Connect. I have done the complete IVR automated system to one of my biggest US banking client. Use the below procedure to achieve what you desire.
Build a complete interactive lex bot(So that you can avoid amazon poly & using lex post content api). It is advised to build each bot has only one intent in it.
In connect using "Get User Input" node map the lex bot which you have created earlier with the question to be asked "What time is my appointment?". Once this question has been played the complete control goes to lex and then you fulfilled your intent from lex side, you can come back to connect as like that.
Refer AWS contact center for the clear idea.
I’ve created a Lex bot that is integrated with an Amazon Connect work flow. The bot is invoked when the user calls the phone number specified in the Connect instance, and the bot itself invokes a Lambda function for initialisation & validation and fulfilment. The bot asks several questions that require the caller to provide simple responses. It all works OK, so far so good. I would like to add a final question that asks the caller for their comments. This could be any spoken text, including non-English words. I would like to be able to capture this Comment slot value as an audio stream or file, perhaps for storage in S3, with the goal of emailing a call centre administrator and providing the audio file as an MP3 or WAV attachment. Is there any way of doing this in Lex?
I’ve seen mention of ‘User utterance storage’ here: https://aws.amazon.com/blogs/contact-center/amazon-connect-with-amazon-lex-press-or-say-input/, but there’s no such setting visible in my Lex console.
I’m aware that Connect can be configured to store a recording in S3, but I need to be able to access the recording for the current phone call from within the Lambda function in order to attach it to an email. Any advice on how to achieve this, or suggestions for a workaround, would be much appreciated.
Thanks
Amazon Connect call recording can only record conversations once an agent accepts the call. Currently Connect cannot record voice in the Contact Flows. So in regards to getting the raw audio from Connect, that is not possible.
However, it looks like you can get it from lex if you developed an external application (could be lambda) that gets utterances: https://docs.aws.amazon.com/lex/latest/dg/API_GetUtterancesView.html
I also do not see the option to enable or disable user utterance storage in Lex, but this makes me think that by default, all are recorded: https://docs.aws.amazon.com/lex/latest/dg/API_DeleteUtterances.html