Monday, May 27, 2024

Setup LibreOffice and muPDF on AWS Lambda

 


Introduction

AWS Lambda is a serverless computing service offered by Amazon Web Services that allows developers to run code without managing servers. It follows a pay-per-use pricing model where users are only charged for the time their code is running. This eliminates the need for managing server infrastructure, reducing operational costs and complexity.

Using AWS Lambda for a LibreOffice and muPDF setup has several benefits. Firstly, it allows for a more streamlined and efficient deployment process. Instead of manually configuring and maintaining servers, Lambda functions can be set up to automatically handle triggers and scale up or down depending on the workload.

Additionally, AWS Lambda enables developers to focus on writing code rather than worrying about server maintenance. This can save time and resources, allowing teams to deliver high-quality applications quickly. Furthermore, since Lambda functions only run when triggered, there is no need to pay for idle server time, resulting in cost savings.

Lastly, AWS Lambda offers high availability and scalability, making it a reliable option for hosting applications. Multiple instances of Lambda functions can run simultaneously, ensuring that the application can handle a high volume of requests without any issues.

Setting up an AWS Account and AWS Lambda

Creating an AWS Account:

  • Go to the AWS website (https://aws.amazon.com/) and click on the “Create an AWS Account” button located in the upper right corner of the page.

  • Enter your email address and password and click on the “Create account” button.

  • On the next page, choose your account type (personal or professional) and fill in the required information including name, company, and phone number.

  • Enter your payment information. AWS offers a free tier account for 12 months with limited usage, so you should not be charged unless you use more than the allotted limits.

  • Review and accept the AWS Customer Agreement and click on the “Create Account and Continue” button.

  • You will receive a verification email from AWS. Follow the instructions in the email to complete the account creation process.



Setting up AWS Lambda Service for LibreOffice and muPDF:

  • Log in to your AWS account and navigate to the Lambda service from the AWS console.

  • Click on the “Create Function” button to create a new Lambda function.

  • Choose “Author from scratch” as the function template.

  • Enter a name for your function and choose the runtime as “Python 3.7”.

  • In the “Permissions” section, expand the “Choose or Create an Execution Role” drop-down menu and select “Create a new role from AWS Policy templates”.

  • Type a name for the role and choose “Basic execution role” as the policy template.

  • Click on “Create function” to continue.

  • Scroll down to the “Function code” section and click on “Upload from”, and then select “.zip file”.

  • Download the LibreOffice and muPDF libraries and create a zip file containing them.

  • Click on “Upload” and select the zip file you created in the previous step.

  • In the “Handler” input box, enter the name of the Python function you want to execute, in the format “module_name.function_name”. For example, “main.handler”.

  • Set the “Memory” and “Timeout” values according to your requirements.

  • Click on “Save” at the top right corner of the page.

  • Test the function by clicking on the “Test” button and entering a test event. You can use the following sample event if you are using both LibreOffice and muPDF:

{
"file_name": "sample.docx",
"bucket_name": "your-bucket-name",
"file_format": "pdf"
}

15. Click on “Test” and check the output. If it is successful, you will see a PDF file named “sample.pdf” in your bucket.

16. Once your function is tested successfully, you can configure it to be triggered by specific events or run on a schedule.

17. To use this function in your application, you can get the function’s ARN (Amazon Resource Name) from the top right corner of the page and use it in your code.

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