### Changes:
- Introduced `asyncHandler` utility to simplify error handling in asynchronous route handlers.
- Updated all route definitions in `cloud-wrapper/src/routes.ts` to use the new `asyncHandler` wrapper:
- Standardized error management across CRUD operations for nouns, verbs, and search functionality.
- Replaced redundant `try-catch` blocks with the `asyncHandler` wrapper to streamline code.
- Added `NextFunction` and adjusted TypeScript typings for improved clarity and error handling.
### Purpose:
Refactored route handlers to enhance maintainability, readability, and consistency by centralizing asynchronous error handling with a reusable `asyncHandler` utility. This reduces redundancy and simplifies debugging for API routes.
### Changes:
- Introduced `package-lock.json` file for the `cloud-wrapper` package.
- Includes configuration details for dependencies:
- Runtime dependencies: `@soulcraft/brainy`, `cors`, `dotenv`, `express`, `helmet`, `morgan`, `uuid`, `ws`.
- Development dependencies: TypeScript, nodemon, and type definitions for key libraries.
- Specifies supported Node.js version (`>=23.11.0`).
### Purpose:
Committed the `package-lock.json` to ensure consistency in dependency resolution during installation. This facilitates improved reliability across development and production environments.
### Changes:
- Introduced `ExtendedBrainyDataConfig` interface to include `rootDirectory` in the storage configuration.
- Enhanced S3 storage setup:
- Added support for `customS3Storage` when `S3_ENDPOINT` is provided.
- Retained standard `s3Storage` configuration for AWS S3 without custom endpoints.
- Updated fallback logic for default storage types (`filesystem`, `memory`) with consistent handling for `rootDirectory`.
- Refined `initializeBrainy` function to improve readability and configuration extensibility.
- Updated TypeScript typings for improved clarity and maintainability.
### Purpose:
Improved the `initializeBrainy` function by extending storage configuration capabilities, allowing seamless integration of custom S3 endpoints alongside standard AWS S3 settings. Enhanced overall code readability and adaptability for diverse storage configurations.
### Changes:
- Removed conditional configuration for `USE_SIMPLE_EMBEDDING` as Universal Sentence Encoder is now the sole embedding option.
- Updated comments to reflect the exclusive use of TensorFlow.js for embedding functionality.
- Cleaned up unnecessary blank lines and whitespace for improved code readability.
### Purpose:
Simplified the `initializeBrainy` function by consolidating embedding configuration and eliminating outdated options. This refinement aligns with the project's transition to TensorFlow-based embeddings and improves code clarity.
Standardized documentation by adding a centered Brainy logo across README files, examples, and guides. Adjusted text formatting for consistency, improved alignment, and readability of feature descriptions and examples.
Implemented a WebSocket API for real-time communication and REST API routes for CRUD operations on nouns and verbs. Added a server initialization script with WebSocket server integration and improved application structure with modularized routing and services.
Introduced a cloud deployment wrapper for Brainy supporting AWS Lambda, Google Cloud Run, and Cloudflare Workers. Added configuration options, deployment scripts, and API reference. Updated `README.md` with contribution guidelines and cloud deployment documentation.
