https://github.com/nexmo-community/aws-voice-transcription-rds-callback-php
AWS Lambda function callback script to be used by CloudWatch as a callback to store Voice Transcriptions to an RDS MySQL DB
https://github.com/nexmo-community/aws-voice-transcription-rds-callback-php
aws aws-cloudwatch aws-lambda aws-rds-mysql brefphp nexmo-voice php
Last synced: about 2 months ago
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AWS Lambda function callback script to be used by CloudWatch as a callback to store Voice Transcriptions to an RDS MySQL DB
- Host: GitHub
- URL: https://github.com/nexmo-community/aws-voice-transcription-rds-callback-php
- Owner: nexmo-community
- License: mit
- Created: 2020-06-11T19:50:09.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-02-01T14:34:19.000Z (over 4 years ago)
- Last Synced: 2025-02-10T09:42:00.232Z (4 months ago)
- Topics: aws, aws-cloudwatch, aws-lambda, aws-rds-mysql, brefphp, nexmo-voice, php
- Language: PHP
- Size: 13.7 KB
- Stars: 0
- Watchers: 11
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE-OF-CONDUCT.md
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README
# aws-voice-transcription-rds-callback-php
AWS Lambda function callback script to be used by CloudWatch as a callback to store Voice Transcriptions to an RDS MySQL DB
## Prerequisites
* PHP 7.4 (update `serverless.yml` for other versions)
* Composer installed [globally](https://getcomposer.org/doc/00-intro.md#globally)
* [Node.js](https://nodejs.org/en/) and npm
* [Serverless Framework](https://serverless.com/framework/docs/getting-started/)
* [AWS account](https://aws.amazon.com/)
* [Vonage account](https://vonage.com)
## Setup Instructions
Clone this repo from GitHub, and navigate into the newly created directory to proceed.
### Use Composer to install dependencies
This example requires the use of Composer to install dependencies and set up the autoloader.
Assuming a Composer global installation. [https://getcomposer.org/doc/00-intro.md#globally](https://getcomposer.org/doc/00-intro.md#globally)
```
composer install
```
### AWS Setup
You will need to create [AWS credentials](https://www.serverless.com/framework/docs/providers/aws/guide/credentials/) as indicated by `Serverless`.
Also, create a new [RDS Instance](https://aws.amazon.com/rds/) using the default settings. Make note of the ARN for later use. Use the `/data/schema.sql` contents to set up the database and table.
### Update Environment
Rename the provided `.env.default` file to `.env` and update the values as needed from `AWS`.
```env
AWS_VERSION=latest
AWS_REGION=us-east-1
AWS_VERSION=latest
AWS_RDS_URL=
AWS_RDS_DATABASE_NAME=
AWS_RDS_TABLE_NAME=
AWS_RDS_USER=
AWS_RDS_PASSWORD=
```
### Serverless Plugin
Install the [serverless-dotenv-plugin](https://www.serverless.com/plugins/serverless-dotenv-plugin/) with the following command.
```bash
npm i -D serverless-dotenv-plugin
```
### Deploy to Lambda
With all the above updated successfully, you can now use `Serverless` to deploy the app to [AWS Lambda](https://aws.amazon.com/lambda/).
```bash
serverless deploy
```
### Create Cloudwatch Trigger
After deploying this function, you can navigate to [CloudWatch](https://aws.amazon.com/cloudwatch/) in your [AWS Console](https://console.aws.amazon.com/) and select `Events` and `Get Started` to create a new Event Rule.
Set the Rule as follows:
* Event Pattern
* Build event pattern to match events by service
* Service Name = Transcribe
* Event Type = Transcribe Job State Change
* Specific status(es) = COMPLETED
* As the Target select the Lambda function #2 created above
* Scroll down and click `Configure Details`.
* Give the rule a meaningful name and description, and enable it.
* Click `Create rule` to complete it.
Now you're ready to test.
The next time a Transcribe job finishes, this function will be ran.
## Contributing
We love questions, comments, issues - and especially pull requests. Either open an issue to talk to us, or reach us on twitter: .