README.md

Lambda Function Deployment Guide

This guide provides instructions on setting up a virtual environment, installing necessary packages, configuring environment variables, and uploading your AWS Lambda function.

Project Structure

├── README.md
├── lambda_function.py
├── upload_lambda_function.py
├── requirements.txt
├── .env
└── .gitignore

Setup Instructions

1. Create a Virtual Environment

Create and activate a virtual environment to manage project dependencies.

python -m venv venv
source venv/bin/activate  # For Windows: venv\Scripts\activate

2. Install Required Packages

Install the necessary Python packages.

pip install boto3 python-dotenv

3. Save Dependencies

Freeze the installed packages into a requirements.txt file.

pip freeze > requirements.txt

Alternatively, install packages from an existing requirements.txt file:

pip install -r requirements.txt

4. Configure Environment Variables

Create a .env file in the project root directory and add your AWS credentials and configuration.

AWS_ACCESS_KEY=YOUR_ACCESS_KEY
AWS_SECRET_KEY=YOUR_SECRET_KEY
AWS_REGION=YOUR_REGION
LAMBDA_FUNCTION_NAME=YOUR_LAMBDA_FUNCTION_NAME

Note: Replace YOUR_ACCESS_KEY, YOUR_SECRET_KEY, YOUR_REGION, and YOUR_LAMBDA_FUNCTION_NAME with your actual AWS credentials and Lambda function name.

5. Upload the Lambda Function

Run the upload script to deploy your Lambda function.

python upload_lambda_function.py

Now you're all set!

You can now set up the virtual environment, install the necessary packages, and easily update your Lambda function.