🚀 This project demonstrates how to send messages to an AWS SQS queue using FastAPI and LocalStack for local testing.

Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables decoupling and scaling of microservices, distributed systems, and serverless applications. Some key benefits include:

• Scalability: Easily handle high-throughput workloads.
• Reliability: Built-in redundancy ensures message durability.
• Decoupling: Separates different parts of your application for better maintainability.
• Security: Supports encryption and access control via AWS IAM policies.
• Asynchronous Processing: Ideal for background tasks and event-driven architectures.

.
├── .env
├── main.py
├── core
│   └── config.py
├── dependencies
│   └── aws_sqs.py
├── routes
│   └── api
│       └── messages.py
├── schemas
│   └── messages.py
└── utils
    └── logger.py

• Python 3.8+
• uv (for dependency management)

1️⃣ Clone the repository:

git clone https://github.com/egoan82/fastapi-with-aws-sqs.git
cd fastapi-with-aws-sqs

2️⃣ Create and activate a virtual environment with uv:

uv venv
source .venv/bin/activate

3️⃣ Install dependencies:

pip install -r requirements.txt

4️⃣ Configure environment variables in .env:

AWS_KEY_ID="test"
AWS_SECRET_KEY="test"
AWS_REGION="us-east-1"
SQS_QUEUE_URL="https://localhost.localstack.cloud:4566/000000000000/queue.fifo"
LOCALSTACK_URL="https://localhost.localstack.cloud:4566"

1️⃣ Run the FastAPI application:

uvicorn main:app --reload

️2️⃣ Run listener to receive messages:

python main.py

3️⃣ Access the interactive API documentation:

🔗 Swagger UI
🔗 ReDoc

1️⃣ Make a POST request to /send_message with the following body:

{
  "title": "string",
  "message": "string"
}

2️⃣ The API responds with the message_id of the sent message.

Here are some screenshots of the API in action:

• 📌 FastAPI Documentation
• 📌 LocalStack Documentation
• 📌 uv - Python Package Manager

🚀 Happy coding and enjoy building with FastAPI and AWS SQS! 🎉