amazon-connect-realtime-transcription | Transcribe Live Customer Audio for Amazon Connect | Cloud Functions library

 by   amazon-connect Java Version: v1.0.1 License: Non-SPDX

kandi X-RAY | amazon-connect-realtime-transcription Summary

kandi X-RAY | amazon-connect-realtime-transcription Summary

amazon-connect-realtime-transcription is a Java library typically used in Serverless, Cloud Functions applications. amazon-connect-realtime-transcription has no vulnerabilities, it has build file available and it has low support. However amazon-connect-realtime-transcription has 5 bugs and it has a Non-SPDX License. You can download it from GitHub.

The purpose of this project is to provide an example solution to get you started with capturing and transcribing Amazon Connect audio using Kinesis Video Streams and Amazon Transcribe. The example Lambda functions can be used to create varying solutions such as capturing audio in the IVR and transcribing customer audio. To enable these different use-cases there are multiple environment variables environment variables and parameters in the invocation event that control the behavior of the Lambda Function.
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            kandi-support Support

              amazon-connect-realtime-transcription has a low active ecosystem.
              It has 116 star(s) with 62 fork(s). There are 24 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 61 have been closed. On average issues are closed in 146 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of amazon-connect-realtime-transcription is v1.0.1

            kandi-Quality Quality

              OutlinedDot
              amazon-connect-realtime-transcription has 5 bugs (1 blocker, 0 critical, 2 major, 2 minor) and 32 code smells.

            kandi-Security Security

              amazon-connect-realtime-transcription has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              amazon-connect-realtime-transcription code analysis shows 0 unresolved vulnerabilities.
              There are 2 security hotspots that need review.

            kandi-License License

              amazon-connect-realtime-transcription has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              amazon-connect-realtime-transcription releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              amazon-connect-realtime-transcription saves you 458 person hours of effort in developing the same functionality from scratch.
              It has 1172 lines of code, 94 functions and 16 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed amazon-connect-realtime-transcription and discovered the below as its top functions. This is intended to give you an instant insight into amazon-connect-realtime-transcription implemented functionality, and help decide if they suit your requirements.
            • Handle a TranscriptionHandler
            • Closes the FileOutputStream and uploads it to S3
            • Starts streaming between KVS and transcribe
            • Method to get an InputStream from KVS
            • Recursively processes a stream with retries
            • Saves the raw audio file as an S3 object
            • Extract ByteBuffer from KVS stream
            • Waits for the specified audio file to transcribe
            • Creates the KVS stream for a KVS stream
            • Fetches an audio file from Amazon S3
            • Returns a response handler for the transcription event
            • Transcription to a stream
            • Converts the given audio file into a WAV file
            • Write the bytes to the output stream
            • Validates the input
            • Request n bytes from the queue
            • Returns next byte buffer
            • Request a number of bytes from the stream
            Get all kandi verified functions for this library.

            amazon-connect-realtime-transcription Key Features

            No Key Features are available at this moment for amazon-connect-realtime-transcription.

            amazon-connect-realtime-transcription Examples and Code Snippets

            No Code Snippets are available at this moment for amazon-connect-realtime-transcription.

            Community Discussions

            QUESTION

            Automatic delete Cloud Logging logs
            Asked 2022-Mar-23 at 16:41

            I would like to know if there is a way to periodically delete logs from inside Cloud Logging.

            I have setup Firebase with Cloud Functions and i have an automatic Cloud Logging logs injection done for each function call.
            I don't want especially to stop sending logs to Cloud Logging, but i would like to be able to manage my costs by deleting older logs.

            ...

            ANSWER

            Answered 2022-Mar-23 at 16:41

            You can set a retention policy on your Cloud Logging bucket to match with your requirements, which can auto-delete logs after between 1 day and 10 years.

            Source https://stackoverflow.com/questions/71590582

            QUESTION

            Firebase function failing to deploy
            Asked 2022-Feb-17 at 15:31

            I'm trying to create a Firebase Function but I'm running into a deploy error, even when deploying the default helloworld function.

            The firebase-debug.log file mentions this: Could not find image for function projects/picci-e030e/locations/us-central1/functions/helloWorld.

            I have been trying to debug and so far have not been able to solve it...

            firebase-debug.log

            ...

            ANSWER

            Answered 2022-Feb-06 at 14:36

            Could not find image for function projects/picci-e030e/locations/us-central1/functions/helloWorld.

            The Firebase Function deployment failed because it cannot find the image built based on your function app. There might be a problem building in your app, it could be your dependencies or files.

            I replicated your issue, received the same error and solved it. There's a problem with the package.json file and package-lock.json. If you just add(without installing) your dependency in package.json you should delete or remove your package-lock.json that will be found in function directory before you deploy it again using the deployment command:

            Source https://stackoverflow.com/questions/70027316

            QUESTION

            Implementation of Distributed-Counter-Extension for local emulator
            Asked 2022-Jan-24 at 17:55

            The firebase extension for a distributed counter can be directly installed for the cloud and works just fine. To develop new features for an app I need to do this on the emulator to not interrupt the running server.

            As the firebase extensions simply are cloud Functions*, I thought about implementing the cloud function in my emulator by getting the source code from the extension itself. This worked fine for other extentions so far...

            Error and Disfunction when implementing

            When implementing the javaScript version that i get the following error:

            function ignored because the unknown emulator does not exist or is not running.

            This problem can be fixed by rewriting the export line of the index.jsfunctions, but is wont provide the expected functionality of the extension anyhow:

            ...

            ANSWER

            Answered 2022-Jan-24 at 17:55

            firebaser here

            Firebase Extensions normally declare their triggers in the extension.yaml file, instead of in the code itself. Therefore, in order to emulate an extension in this way, you'd need to move the triggers over to the code.

            For your specific example of the 'worker' function, the extension declares what document to listen to here, so we'll copy the document over to the code:

            Source https://stackoverflow.com/questions/70836970

            QUESTION

            Build a container image from inside a cloud function
            Asked 2021-Dec-22 at 00:59

            Context: I am training a very similar model per bigquery dataset in Google Vertex AI, but I want to have a custom training image for each existing dataset (in Google BigQuery). In that sense, I need to programatically build a custom Docker Image in the container registry on demand. My idea was to have a Google Cloud Function do it, being triggered by PubSub topic with information regarding which dataset I want to build the training container for. So naturally, the function will write the Dockerfile and pertinent scripts to a /tmp folder within Cloud Functions (the only writable place as per my knowledge). However, when I try to actually build the container within this script, apparently, it doesn't find the /tmp folder or its contents, even though they are there (checked with logging operations).

            The troubling code so far:

            ...

            ANSWER

            Answered 2021-Dec-21 at 11:07

            I've locally tested building a container image using Cloud Build Client Python library. It turns out to have the same error even the Dockerfile file is existing in current directory:

            error:

            Step #0: unable to prepare context: unable to evaluate symlinks in Dockerfile path: lstat /workspace/Dockerfile: no such file or directory

            build steps:

            Source https://stackoverflow.com/questions/70428362

            QUESTION

            Error when import firebase-functions-test when testing with mocha
            Asked 2021-Dec-02 at 09:53

            I am trying to setup a Firebase Cloud Functions repo to run mocha test. However, it throws the following error when I use import * as firebase from "firebase-functions-test"; or const firebase = require("firebase-functions-test")();. You can see in my code that I haven't even called the actual firebase functions yet so I think this a setup issue.

            Question: What change do I need to make mocha test running for Firebase Functions testing using import syntax?

            Working test code

            ...

            ANSWER

            Answered 2021-Dec-02 at 09:53

            This error should be resolved after specifying the latest version of the

            • firebase-functions, v3.16.0, and

            • firebase-functions-test, v0.3.3.

            Source https://stackoverflow.com/questions/70183270

            QUESTION

            Parsing error: Cannot read file '\tsconfig.json' eslint after following Firebase Cloud Functions initialization instructions
            Asked 2021-Nov-16 at 16:17
            Problem

            Right after my TypeScript project initialization in VSCode using firebase tools for composing Firebase Cloud Functions following the official documentation the very first line of the index.ts file displays an error:

            Parsing error: Cannot read file '\tsconfig.json' eslint [1,1]

            and the .eslintrc.js displays an error:

            File is a CommonJS module; it may be converted to an ES6 module.ts(80001)

            Since all files are auto-generated these errors are a complete surprise and I want to get rid of them.

            Versions

            For the record, here are the versions installed:

            ...

            ANSWER

            Answered 2021-Nov-16 at 16:17

            Ok, I have solved the problem with a great help of this github thread False positive Error - TS6133 error (declared but its value is never read) report.

            I have changed "noUnusedLocals" setting in the tsconfig.json file from the default true to false, so the file becomes:

            Source https://stackoverflow.com/questions/69897000

            QUESTION

            firebase function with realtime database error
            Asked 2021-Nov-08 at 12:28

            I am new to firebase function and trying to use firebase function with Realtime database (Emulator suite).But when i try to set the value in firebase using the firebase function,it gives an error and doesn't set the value in database.

            Error:

            ...

            ANSWER

            Answered 2021-Nov-05 at 13:59

            I'm unsure as to the cause of that log message, but I do see that you are returning a response from your function before it completes all of its work. In a deployed function, as soon as the function returns, all further actions should be treated as if they will never be executed as documented here. An "inactive" function might be terminated at any time, is severely throttled and any network calls you make (like setting data in the RTDB) may never be executed.

            I know you are new to this, but its a good habit to get into now: don't assume the person calling your function is you. Check for problems like missing query parameters and dodgy data before you blindly action something. The Admin SDK bypasses your database's security rules and if you are not careful a malicious user can cause some damage (e.g. a user that updates /users/$theirUid/roles/admin to true).

            Source https://stackoverflow.com/questions/69853038

            QUESTION

            Firebase Cloud Functions min-instances setting seems to be ignored
            Asked 2021-Oct-30 at 06:35

            Firebase has announced in September 2021 that it is possible now to configure its cloud function autoscaling in a way, so that a certain number of instances will always be running (https://firebase.google.com/docs/functions/manage-functions#min-max-instances).

            I have tried to set this up, but I can not get it to work: At first I have set the number of minimum instances in Google Cloud Console: Cloud Console Screenshot After doing this I expected that one instance for that cloud function would run at any time. The metrics of that function indicate that it instances were still scaled down to 0: Cloud functions "Active Instances Metric"

            So to me it looks a bit as if my setting is ignored here. Am I missing anything? Google Cloud Console shows me that the number of minimum instances has been set to 1 so it seems to know about it but to ignore it. Is this feature only available in certain regions?

            I have also tried to set the number of minimum instances using the Firebase SDK for Cloud Functions (https://www.npmjs.com/package/firebase-functions). This gave me the same result, my setting is still ignored.

            ...

            ANSWER

            Answered 2021-Oct-30 at 06:35

            According to the Documentation, the Active Instances metrics shows the number of instances that are currently handling the request.

            As stated in the Documentation :

            Cloud Functions scales by creating new instances of your function. Each of these instances can handle only one request at a time, so large spikes in request volume often causes longer wait times as new instances are created to handle the demand.

            Because functions are stateless, your function sometimes initializes the execution environment from scratch, which is called a cold start. Cold starts can take significant amounts of time to complete, so we recommend setting a minimum number of Cloud Functions instances if your application is latency-sensitive.

            You can also refer to the Stackoverflow thread where it has been mentioned that

            Setting up minInstances does not mean that there will always be that much number of Active Instances. Minimum instances are kept running idle (without CPU > allocated), so are not counted in Active Instances.

            Source https://stackoverflow.com/questions/69717844

            QUESTION

            Receiving inconsistent data in Go api
            Asked 2021-Oct-23 at 12:31

            I was learning the Go language and tested Google Cloud Functions with go + Google Firestore as the database.

            While I was testing the response I got inconsistent responses.

            I have used the json Marshaller to convert Firebase data to Json object to return from the API, this API is hosted in the Google Cloud Functions.

            ...

            ANSWER

            Answered 2021-Oct-23 at 12:31

            The solution i got after marshal and unmarshal, it works as expected.

            Source https://stackoverflow.com/questions/69072757

            QUESTION

            Get the client_id of the IAM proxy on GCP Cloud composer
            Asked 2021-Oct-15 at 15:02

            I'm trying to trigger Airflow DAG inside of a composer environment with cloud functions. In order to do that I need to get the client id as described here. I've tried with curl command but it doesn't return any value. With a python script I keep getting this error:

            ...

            ANSWER

            Answered 2021-Sep-28 at 13:00

            Posting this Community Wiki for better visibility.

            As mentioned in the comment section by @LEC this configuration is compatible with Cloud Composer V1 which can be found in GCP Documentation Triggering DAGs with Cloud Functions.

            At the moment there can be found two tabs Cloud Composer 1 Guides and Cloud Composer 2 Guides. Under Cloud Composer 1 is code used by the OP, but if you will check Cloud Composer 2 under Manage DAGs > Triggering DAGs with Cloud Functions you will get information that there is not proper documentation yet.

            This documentation page for Cloud Composer 2 is not yet available. Please use the page for Cloud Composer 1.

            As solution, please use Cloud Composer V1.

            Source https://stackoverflow.com/questions/69269929

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install amazon-connect-realtime-transcription

            Getting started with this project is easy. The most basic use case of capturing audio in the Amazon Connect IVR can be accomplished by downloading the pre-packaged Lambda Functions, deploying the CloudFormation template in your account, and importing the Contact Flows into your Amazon Connect Instance.
            Clone the github repo into your account.
            Create an S3 bucket and create a new folder “deployment” and upload the deployment/ folder into it Open the cloudformation.template file and copy the S3 url on it's detail page
            Go to CloudFormation and select 'Create Stack'. Create the stack from an S3 url and paste the url from the cloudformation.yaml file Fill in the parameters for the stack. The existingS3BucketName and existingS3Path should be the ones created above that contain all the deployment related code.
            While the stack is building, go to the Amazon Connect AWS console and ensure that your Amazon Connect instance has the "live media streaming" feature enabled by following the Amazon Connect documentation for "Enable Live Media Streaming"
            Once the stack is complete you will need to add the Lambda function to your Connect Instance. In the AWS Console open the Amazon Connect management console, select the Instance you would like to add the IVR recording capabilities to, go to the Contact Flows menu, and then the AWS Lambda section. Find the Lambda function with kvsConsumerTrigger in the name in the list and select Add Lambda Function.
            Now go to the S3 management console, open the bucket that you created with the deployment/ folder, and download the Contact Flow. The flow is called kvsStreamingSampleFlow.json.
            Log into your Amazon Connect instance and import the Contact Flow.
            In the Contact Flow edit the Lambda function that is configured in the Invoke Lambda Function block and select the name of the kvsConsumerTrigger Lambda function that was deployed by the Cloudformation template.
            Click save and publish the Contact Flow
            In your Amazon Connect instance, claim a Phone Number and assign the Contact Flow you created to it and call the number. Depending on the settings in the KvsTranscriber Lambda Function, the audio will be saved in S3 and the transcriptions will be visible in DynamoDB.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone amazon-connect/amazon-connect-realtime-transcription

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            git@github.com:amazon-connect/amazon-connect-realtime-transcription.git

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