LocalWorkHive is a project designed to facilitate working with AWS services and practicing API development. It enables simulation of AWS resources like S3 on a local machine using LocalStack.
This project is intended to be used as a lab to test new and interesting technologies and libraries.
The project was created to simplify and speed up the development of local MVPs. Currently, it provides an API for managing Amazon S3, supporting bucket and file operations.
Note: This project is under active development and may never be considered “complete,” as it serves as an experimental lab for testing new ideas and technologies.
This project is intended for local execution only, using LocalStack to simulate AWS services locally.
It aims to accelerate the development of prototypes and MVPs by managing simulated resources such as S3, DynamoDB, and SQS without requiring access to real AWS infrastructure.
Not suitable for production environments.
- 1.0.0 — Initial release with basic funcionalities
- S3 supports (files and buckets)
integration.
- Create buckets
- Delete buckets
- Retrieve bucket metadata
- List all buckets
- Upload files to buckets
- Delete files from buckets
- Retrieve files from buckets
- List files within buckets
- Built with FastAPI and Pydantic to standarize models.
- Unit tests using
unittestand mocks - Modular code structure with routes, schemas, and helpers
- AWS services simulated via LocalStack
Future development plans include expanding support beyond S3:
- Create and delete tables
- Add, update, retrieve, and delete items
- Support for querying and scanning data
- Create and delete queues
- Send and receive messages
- Dead-letter queue support for retries
- Integration with Docker Compose or local PostgreSQL instance
- Basic API for CRUD operations
- Simulates a persistence layer for MVPs requiring relational databases
- Implementation of GraphQL queries and mutations to enhance API flexibility and efficiency