In some countries, throughput limitation on SMS and slow request times (sometimes as low as one request per second) add challenges for bulk sending. One way to navigate these limitations is by using a message queue, such as AWS SQS.
For this example, you create a serverless microservice on AWS Lambda using this Python application available on Github that uses Flask, and Serverless. The application serves two purposes: It adds messages to AWS SQS and then facilitates the actual sending through Vonage SMS as requested.
Python 3.8 (update
serverless.ymlif higher version is desired)Pip
Node.js and npm
To complete this tutorial, you will need a DT API account. If you don’t have one already, you can sign up today and start building with free credit. Once you have an account, you can find your API Key and API Secret at the top of the DT API Dashboard.
Clone the nexmo-community/sms-aws-sqs-python-sender repo from GitHub, and navigate into the newly created directory to proceed.
Rename .env.default to .env and add values to VONAGE_API_KEY and VONAGE_API_SECRET provided on your Vonage API Dashboard.
You need to create AWS credentials as indicated by Serverless. Update the .env file with these.
Also, create a new SQS FIFO queue using the default settings, and update .env with the SQS queue URL. FIFO ensures messages get sent in the order they were stored.
To start, create a virtualenv from within the project root to contain the project. Then, activate it as follows:
Next, initialize npm and follow the prompts selecting the defaults, unless you desire to change any of them. Also, use npm to install needed dependencies for DEV to enable Serverless and Lambda to work with the Flask app.
Now you can use pip to install the required Python dependencies. The dependencies are in the requirements.txt, so instruct pip to use it.
Should you wish to run the app locally and test things out, before deploying to AWS Lambda, you can serve it with the following command:
By default, this serves the app at http://localhost:5000. You hit Ctrl+c to close it down.
With all the above finished successfully, you can now use Serverless to deploy the app to AWS Lambda.
IMPORTANT: This application does not contain any authentication for use. Therefore, ensure you add authentication in front of it to prevent public usage. By leaving it open to the public, it could result in usage charges at AWS and Vonage.
There are 3 URL endpoints available with this client:
1 GET request to /
Doesn't perform any actions, but provides a quick way to test
2 POST request to /add
This action stores the message in SQS.
Pass a POST with a JSON body like the following. Substitute the placeholders, indicated with
<>with your data.The result contains the SQS
MessageId.
{
"from": "<your_name_or_number>",
"message": "<sms_message_contents>",
"to": "<recipients_number>"
}
</recipients_number></sms_message_contents></your_name_or_number>3 GET request to /process
Kicks off the sending process.
Retrieves messages from the SQS FIFO queue.
Connects to Nexmo, and sends the SMS message.
location=None, media_mode=relayed, archive_mode=manual
Go to the URL provided by the deploy process. Below are some examples of what sample requests may look like: (Your URL may vary.)
GET https://7ulasfasdasdfw4.execute-api.us-east-1.amazonaws.com/dev/
The / endpoint returns the generic message.
POST https://7ulasfasdasdfw4.execute-api.us-east-1.amazonaws.com/dev/add
The add endpoint returns the SQS MessageId.
GET https://7ulasfasdasdfw4.execute-api.us-east-1.amazonaws.com/dev/process
The process endpoint returns a message indicating a successful send.
To exit the virtualenv, you can deactivate it when desired.
NOTE: Depending on OS, you may need to prepend
virtualenvto the command above.
In this example, the application contains a /process endpoint callable with an HTTP GET request at scheduled intervals. Alternatively, the code in /process could be put in a separate Lambda function and called directly from CloudWatch scheduled events instead of an HTTP GET request.
If you have any questions or run into troubles, you can reach out to @VonageDev on Twitter or inquire in the Vonage Community Slack team. Good luck.
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