brainy/cloud-wrapper
David Snelling c385f3fcff **chore: add package-lock.json for cloud-wrapper**
### 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.
2025-06-19 15:13:30 -07:00
..
scripts feat: add WebSocket API, REST API routes, and server setup for Brainy 2025-06-06 09:09:07 -07:00
src **feat: enhance BrainyData storage configuration with support for custom S3 endpoints and extended types** 2025-06-19 15:12:51 -07:00
.env.example feat: add WebSocket API, REST API routes, and server setup for Brainy 2025-06-06 09:09:07 -07:00
package-lock.json **chore: add package-lock.json for cloud-wrapper** 2025-06-19 15:13:30 -07:00
package.json feat: add cloud deployment support and contribution guidelines 2025-06-06 09:08:33 -07:00
README.md chore: update README.md and docs with Brainy logo and enhanced formatting 2025-06-11 08:49:30 -07:00
tsconfig.json feat: add cloud deployment support and contribution guidelines 2025-06-06 09:08:33 -07:00

Brainy Logo

Brainy Cloud Wrapper

A standalone web service wrapper for the Brainy vector graph database. This wrapper allows you to deploy Brainy as a RESTful API service on various cloud platforms including AWS, Google Cloud, and Cloudflare.

Features

  • RESTful API for all Brainy operations
  • Support for multiple storage backends (Memory, FileSystem, S3)
  • Configurable via environment variables
  • Deployment scripts for AWS, Google Cloud, and Cloudflare
  • Secure by default with Helmet middleware
  • Cross-origin resource sharing (CORS) support

Prerequisites

  • Node.js 23.11.0 or higher
  • npm or yarn
  • For cloud deployments:
    • AWS: AWS CLI installed and configured
    • Google Cloud: Google Cloud SDK installed and configured
    • Cloudflare: Wrangler CLI installed and configured

Installation

  1. Clone the repository:

    git clone https://github.com/soulcraft/brainy.git
    cd brainy/cloud-wrapper
    
  2. Install dependencies:

    npm install --legacy-peer-deps
    
  3. Create a .env file based on the example:

    cp .env.example .env
    
  4. Edit the .env file to configure your environment.

Configuration

The cloud wrapper can be configured using environment variables. See the .env.example file for available options.

Storage Options

  • STORAGE_TYPE: The type of storage to use. Options:
    • memory: In-memory storage (default for Cloudflare)
    • filesystem: File system storage (default for local and AWS/GCP)
    • s3: S3-compatible storage (AWS S3, MinIO, etc.)
    • r2: Cloudflare R2 storage (Cloudflare only)

S3 Storage Configuration

When using STORAGE_TYPE=s3, the following environment variables are required:

  • S3_BUCKET_NAME: The name of the S3 bucket
  • S3_ACCESS_KEY_ID: Your S3 access key ID
  • S3_SECRET_ACCESS_KEY: Your S3 secret access key
  • S3_REGION: The S3 region (default: us-east-1)
  • S3_ENDPOINT (optional): Custom endpoint for S3-compatible services

Local Development

  1. Build the project:

    npm run build
    
  2. Start the development server:

    npm run dev
    
  3. The API will be available at http://localhost:3000.

API Endpoints

Brainy Cloud Wrapper provides both REST API and WebSocket API for interacting with the database.

REST API

Status

  • GET /api/status: Get database status

Nouns (Entities)

  • POST /api/nouns: Add a new noun
    • Body: { "text": "Your text", "metadata": { ... } }
  • GET /api/nouns/:id: Get a noun by ID
  • PUT /api/nouns/:id: Update noun metadata
    • Body: { "metadata": { ... } }
  • DELETE /api/nouns/:id: Delete a noun
  • POST /api/search: Search for similar nouns
    • Body: { "query": "Your search query", "limit": 10 }

Verbs (Relationships)

  • POST /api/verbs: Add a relationship between nouns
    • Body: { "sourceId": "...", "targetId": "...", "metadata": { ... } }
  • GET /api/verbs: Get all relationships
  • GET /api/verbs/source/:id: Get relationships by source
  • GET /api/verbs/target/:id: Get relationships by target
  • DELETE /api/verbs/:id: Delete a relationship

Database Management

  • DELETE /api/clear: Clear all data

WebSocket API

The WebSocket API provides real-time communication with the Brainy database. Connect to the WebSocket server at ws://your-server:port.

Message Format

All WebSocket messages follow this format:

{
  "type": "messageType",
  "id": "unique-message-id",
  "payload": {
    // Message-specific data
  }
}

Available Message Types

Status
  • Request: { "type": "status" }
  • Response: { "type": "status", "id": "...", "payload": { /* database status */ } }
Nouns (Entities)
  • Add a noun:

    • Request: { "type": "addNoun", "payload": { "text": "Your text", "metadata": { ... } } }
    • Response: { "type": "addNoun", "id": "...", "payload": { "id": "new-noun-id" } }
  • Get a noun:

    • Request: { "type": "getNoun", "payload": { "id": "noun-id" } }
    • Response: { "type": "getNoun", "id": "...", "payload": { /* noun data */ } }
  • Update a noun:

    • Request: { "type": "updateNoun", "payload": { "id": "noun-id", "metadata": { ... } } }
    • Response: { "type": "updateNoun", "id": "...", "payload": { "success": true } }
  • Delete a noun:

    • Request: { "type": "deleteNoun", "payload": { "id": "noun-id" } }
    • Response: { "type": "deleteNoun", "id": "...", "payload": { "success": true } }
Search
  • Search for similar nouns:
    • Request: { "type": "search", "payload": { "query": "Your search query", "limit": 10 } }
    • Response: { "type": "search", "id": "...", "payload": [ /* search results */ ] }
Verbs (Relationships)
  • Add a verb:

    • Request: { "type": "addVerb", "payload": { "sourceId": "...", "targetId": "...", "metadata": { ... } } }
    • Response: { "type": "addVerb", "id": "...", "payload": { "success": true } }
  • Get all verbs:

    • Request: { "type": "getVerbs" }
    • Response: { "type": "getVerbs", "id": "...", "payload": [ /* all verbs */ ] }
  • Get verbs by source:

    • Request: { "type": "getVerbsBySource", "payload": { "id": "source-id" } }
    • Response: { "type": "getVerbsBySource", "id": "...", "payload": [ /* verbs */ ] }
  • Get verbs by target:

    • Request: { "type": "getVerbsByTarget", "payload": { "id": "target-id" } }
    • Response: { "type": "getVerbsByTarget", "id": "...", "payload": [ /* verbs */ ] }
  • Delete a verb:

    • Request: { "type": "deleteVerb", "payload": { "id": "verb-id" } }
    • Response: { "type": "deleteVerb", "id": "...", "payload": { "success": true } }
Database Management
  • Clear all data:
    • Request: { "type": "clear" }
    • Response: { "type": "clear", "id": "...", "payload": { "success": true } }

Real-time Subscriptions

The WebSocket API supports subscribing to real-time updates:

  • Subscribe to updates:

    • Request: { "type": "subscribe", "payload": { "type": "nouns" } }
    • Response: { "type": "subscribe", "id": "...", "payload": { "success": true, "type": "nouns" } }
  • Unsubscribe from updates:

    • Request: { "type": "unsubscribe", "payload": { "type": "nouns" } }
    • Response: { "type": "unsubscribe", "id": "...", "payload": { "success": true, "type": "nouns" } }

Available subscription types:

  • nouns: Updates about nouns (added, updated, deleted)
  • verbs: Updates about verbs (added, deleted)
  • searchResults: Updates about search results

When subscribed, you'll receive messages when relevant events occur:

{
  "type": "subscribe",
  "payload": {
    "type": "nouns",
    "data": {
      "type": "added",
      "id": "noun-id",
      "data": { /* noun data */ }
    }
  }
}

Cloud Deployment

AWS Lambda and API Gateway

  1. Configure AWS-specific environment variables:

    AWS_REGION=us-east-1
    AWS_FUNCTION_NAME=brainy-cloud-service
    AWS_API_GATEWAY_NAME=brainy-api
    AWS_STAGE_NAME=prod
    AWS_ACCOUNT_ID=your-account-id
    
  2. Deploy to AWS:

    npm run deploy:aws
    

Google Cloud Run

  1. Configure GCP-specific environment variables:

    GCP_PROJECT_ID=your-project-id
    GCP_REGION=us-central1
    GCP_SERVICE_NAME=brainy-cloud-service
    GCP_IMAGE_NAME=brainy-cloud-service
    GCP_MEMORY=512Mi
    GCP_CPU=1
    GCP_MAX_INSTANCES=10
    GCP_MIN_INSTANCES=0
    
  2. Deploy to Google Cloud:

    npm run deploy:gcp
    

Cloudflare Workers

  1. Configure Cloudflare-specific environment variables:

    CF_ACCOUNT_ID=your-account-id
    CF_WORKER_NAME=brainy-cloud-service
    CF_KV_NAMESPACE=BRAINY_STORAGE
    CF_R2_BUCKET=brainy-storage
    
  2. Deploy to Cloudflare:

    npm run deploy:cloudflare
    

Storage Considerations

AWS Lambda

When deploying to AWS Lambda, it's recommended to use S3 storage for persistence. The filesystem storage option will work but data will be lost when the Lambda function is recycled.

Google Cloud Run

For Google Cloud Run, you can use either filesystem storage (for ephemeral storage) or S3-compatible storage (like Google Cloud Storage with an S3 compatibility layer).

Cloudflare Workers

Cloudflare Workers have limited storage options. The recommended approach is to use:

  • Cloudflare KV for small datasets
  • Cloudflare R2 for larger datasets
  • Memory storage for temporary data

License

MIT