diff --git a/README.md b/README.md index b38b0ab2..c3e77a2e 100644 --- a/README.md +++ b/README.md @@ -82,6 +82,44 @@ await db.delete(fishId); // Clear the database await db.clear(); + +// Using read-only mode +// Create a database in read-only mode +const readOnlyDb = new BrainyData({ readOnly: true }); +await readOnlyDb.init(); + +// Attempting to write will throw an error +try { + await readOnlyDb.add([0.1, 0.2, 0.3], { name: 'test' }); +} catch (error) { + console.error(error); // Error: Cannot perform write operation: database is in read-only mode +} + +// You can also toggle read-only mode at runtime +const db2 = new BrainyData(); +await db2.init(); + +// Add data while writable +const itemId = await db2.add([0.1, 0.2, 0.3], { name: 'test' }); + +// Set to read-only mode +db2.setReadOnly(true); + +// Check if database is in read-only mode +console.log(db2.isReadOnly()); // true + +// Attempting to write now will throw an error +try { + await db2.delete(itemId); +} catch (error) { + console.error(error); // Error: Cannot perform write operation: database is in read-only mode +} + +// Set back to writable mode +db2.setReadOnly(false); + +// Now writing is allowed again +await db2.delete(itemId); ``` ### Using the Embedding Function @@ -202,15 +240,85 @@ const db = new BrainyData({ // return [0.1, 0.2, 0.3, 0.4]; // Return a vector // }, - // Custom storage adapter (optional) - // By default, it uses OPFS in browsers, FileSystemStorage in Node.js, - // or falls back to in-memory storage if neither is available - // storageAdapter: myCustomStorageAdapter + // Storage configuration (optional) + // By default, it automatically selects the best storage option based on the environment: + // - In browsers: OPFS (Origin Private File System) if available, otherwise in-memory + // - In Node.js: FileSystemStorage if available, otherwise in-memory + // - In server environments: Checks for environment variables for cloud storage credentials + storage: { + // Request persistent storage when running in a browser (optional) + requestPersistentStorage: true, - // You can also explicitly use the FileSystemStorage with a custom directory: - // import { FileSystemStorage } from '@soulcraft/brainy/storage/fileSystemStorage'; - // storageAdapter: new FileSystemStorage('/custom/path') + // Force specific storage type (optional) + // forceFileSystemStorage: true, // Force file system storage + // forceMemoryStorage: true, // Force in-memory storage + + // Cloud storage configuration (optional) + // These can also be set via environment variables + + // Cloudflare R2 (can also use R2_* environment variables) + // r2Storage: { + // bucketName: 'your-bucket-name', + // accountId: 'your-cloudflare-account-id', + // accessKeyId: 'your-r2-access-key-id', + // secretAccessKey: 'your-r2-secret-access-key' + // }, + + // Amazon S3 (can also use S3_* or AWS_* environment variables) + // s3Storage: { + // bucketName: 'your-s3-bucket-name', + // accessKeyId: 'your-aws-access-key-id', + // secretAccessKey: 'your-aws-secret-access-key', + // region: 'us-east-1' + // }, + + // Google Cloud Storage (can also use GCS_* environment variables) + // gcsStorage: { + // bucketName: 'your-gcs-bucket-name', + // accessKeyId: 'your-hmac-access-key', + // secretAccessKey: 'your-hmac-secret', + // endpoint: 'https://storage.googleapis.com' + // }, + + // Custom S3-compatible storage + // customS3Storage: { + // bucketName: 'your-bucket-name', + // accessKeyId: 'your-access-key-id', + // secretAccessKey: 'your-secret-access-key', + // endpoint: 'https://your-endpoint.com', + // region: 'your-region' + // } + }, + + // Custom storage adapter (optional) + // If provided, this overrides the storage configuration above + // storageAdapter: myCustomStorageAdapter, + + // Set the database to read-only mode (optional) + // When true, all write operations (add, delete, updateMetadata, etc.) will throw an error + // readOnly: true }); + +// Environment Variables Support +// The library automatically detects and uses these environment variables if available: +// +// Cloudflare R2: +// - R2_BUCKET_NAME +// - R2_ACCOUNT_ID +// - R2_ACCESS_KEY_ID +// - R2_SECRET_ACCESS_KEY +// +// Amazon S3: +// - S3_BUCKET_NAME +// - S3_ACCESS_KEY_ID (or AWS_ACCESS_KEY_ID) +// - S3_SECRET_ACCESS_KEY (or AWS_SECRET_ACCESS_KEY) +// - S3_REGION (or AWS_REGION) +// +// Google Cloud Storage: +// - GCS_BUCKET_NAME +// - GCS_ACCESS_KEY_ID +// - GCS_SECRET_ACCESS_KEY +// - GCS_ENDPOINT ``` ### Importing Graph Types Separately @@ -402,6 +510,8 @@ Brainy provides several memory augmentation implementations for different storag 2. **FileSystemStorageAugmentation**: File system storage (for Node.js environments) 3. **OPFSStorageAugmentation**: Origin Private File System storage (for browser environments) +Additionally, you can use R2Storage with memory augmentations by specifying the r2Storage option when creating a storage adapter. + You can use the `createMemoryAugmentation` factory function to automatically select the appropriate storage type based on the environment, or you can specify a particular storage type. **Basic Usage:** @@ -469,6 +579,38 @@ const opfsStorage = await createMemoryAugmentation('opfs-storage', { storageType: 'opfs', requestPersistentStorage: true }); + +// For server environments, you can use S3-compatible storage: + +// Cloudflare R2: +const r2Storage = await createMemoryAugmentation('r2-storage', { + r2Storage: { + bucketName: 'your-bucket-name', + accountId: 'your-cloudflare-account-id', + accessKeyId: 'your-r2-access-key-id', + secretAccessKey: 'your-r2-secret-access-key' + } +}); + +// Amazon S3: +const s3Storage = await createMemoryAugmentation('s3-storage', { + s3Storage: { + bucketName: 'your-s3-bucket-name', + accessKeyId: 'your-aws-access-key-id', + secretAccessKey: 'your-aws-secret-access-key', + region: 'us-east-1' + } +}); + +// Google Cloud Storage: +const gcsStorage = await createMemoryAugmentation('gcs-storage', { + gcsStorage: { + bucketName: 'your-gcs-bucket-name', + accessKeyId: 'your-hmac-access-key', + secretAccessKey: 'your-hmac-secret', + endpoint: 'https://storage.googleapis.com' + } +}); ``` @@ -476,8 +618,13 @@ The memory augmentation will automatically select the appropriate storage based - In Node.js: FileSystemStorage - In browser with OPFS support: OPFSStorage - In browser without OPFS support: MemoryStorage +- For server environments: You can explicitly use S3-compatible storage services by specifying the appropriate option: + - Cloudflare R2: Use the r2Storage option + - Amazon S3: Use the s3Storage option + - Google Cloud Storage: Use the gcsStorage option + - Other S3-compatible services: Use the customS3Storage option -You can override this behavior by specifying a storage type. +You can override this behavior by specifying a storage type or configuration options. #### Cognition Augmentations @@ -743,6 +890,7 @@ The pipeline supports several execution modes: - `ExecutionMode.SEQUENTIAL`: Execute augmentations one after another (default) - `ExecutionMode.PARALLEL`: Execute all augmentations simultaneously +- `ExecutionMode.THREADED`: Execute all augmentations simultaneously in separate threads when available - `ExecutionMode.FIRST_SUCCESS`: Execute augmentations until one succeeds - `ExecutionMode.FIRST_RESULT`: Execute augmentations until one returns a result @@ -755,9 +903,13 @@ interface PipelineOptions { mode?: ExecutionMode; // Execution mode (default: SEQUENTIAL) timeout?: number; // Timeout in milliseconds (default: 30000) stopOnError?: boolean; // Whether to stop on error (default: false) + forceThreading?: boolean; // Force threading even if not in THREADED mode (default: false) + disableThreading?: boolean; // Disable threading even if in THREADED mode (default: false) } ``` +Threading is automatically used in the `THREADED` execution mode when available, but you can also force threading in other modes with the `forceThreading` option, or disable it with the `disableThreading` option. Threading is available in browser environments (using Web Workers) and Node.js environments (using Worker Threads). + #### Creating a Custom Pipeline You can create a custom pipeline instance if needed: @@ -769,6 +921,123 @@ const myPipeline = new AugmentationPipeline(); myPipeline.register(myCustomAugmentation); ``` +### Sequential Pipeline + +Brainy provides a sequential pipeline that executes augmentations in a specific sequence: + +1. **ISense** augmentations process raw data +2. **IMemory** augmentations store the data in BrainyData +3. **ICognition** augmentations analyze the data +4. **IConduit** augmentations receive notifications about the data +5. **IActivation** augmentations trigger actions based on the data +6. **IPerception** augmentations interpret and contextualize the data + +This pipeline is designed for high-performance streaming data processing, particularly from WebSockets, without blocking. + +#### Using the Sequential Pipeline + +```typescript +import { + sequentialPipeline, + registerAugmentation, + initializeAugmentationPipeline, + createMemoryAugmentation +} from '@soulcraft/brainy'; + +// Register your augmentations +registerAugmentation(mySenseAugmentation); +registerAugmentation(myCognitionAugmentation); +registerAugmentation(myConduitAugmentation); +registerAugmentation(myActivationAugmentation); +registerAugmentation(myPerceptionAugmentation); + +// Create and register a memory augmentation +const memoryAugmentation = await createMemoryAugmentation('my-memory', { storageType: 'memory' }); +registerAugmentation(memoryAugmentation); + +// Initialize the augmentation pipeline +initializeAugmentationPipeline(); + +// Initialize the sequential pipeline +await sequentialPipeline.initialize(); + +// Process data through the sequential pipeline +const result = await sequentialPipeline.processData( + 'This is some raw data to process', + 'text' +); + +console.log('Pipeline execution result:', result.success); +console.log('Data:', result.data); + +// Check results from each stage +for (const stage in result.stageResults) { + console.log(`${stage} stage:`, result.stageResults[stage].success); +} +``` + +#### WebSocket Support + +The sequential pipeline provides built-in support for processing WebSocket data: + +```typescript +import { sequentialPipeline } from '@soulcraft/brainy'; + +// Set up a WebSocket connection to process data through the pipeline +const connection = await sequentialPipeline.setupWebSocketPipeline( + 'wss://example.com/data-stream', + 'text' +); + +// The pipeline will automatically process incoming WebSocket messages +// without blocking, following the sequence: +// ISense -> IMemory -> ICognition -> IConduit -> IActivation -> IPerception + +// When done, close the connection +const webSocketAugmentations = augmentationPipeline.getWebSocketAugmentations(); +if (webSocketAugmentations.length > 0) { + await webSocketAugmentations[0].closeWebSocket(connection.connectionId); +} +``` + +#### Sequential Pipeline Options + +You can configure the sequential pipeline with options: + +```typescript +interface SequentialPipelineOptions { + timeout?: number; // Timeout in milliseconds (default: 30000) + stopOnError?: boolean; // Whether to stop on error (default: false) + brainyData?: BrainyData; // Custom BrainyData instance to use +} +``` + +Example with options: + +```typescript +// Create a custom BrainyData instance +const customBrainyData = new BrainyData({ + distanceFunction: euclideanDistance +}); +await customBrainyData.init(); + +// Create a custom sequential pipeline +const customSequentialPipeline = new SequentialPipeline({ + timeout: 10000, + stopOnError: true, + brainyData: customBrainyData +}); + +// Initialize the pipeline +await customSequentialPipeline.initialize(); + +// Process data with the custom pipeline +const result = await customSequentialPipeline.processData( + 'Custom pipeline data', + 'text' +); +``` + ## Graph Data Model Brainy uses a graph-based data model to represent entities and relationships. This model consists of nouns (nodes) and @@ -912,6 +1181,7 @@ The repository also includes TypeScript examples for Node.js: - `src/examples/augmentationPipeline.ts`: Demonstrates the augmentation pipeline - `src/examples/webSocketAugmentation.ts`: Shows how to create WebSocket-supporting augmentations - `examples/memoryAugmentationExample.js`: Demonstrates memory augmentations for different storage types (Memory, FileSystem, OPFS) +- `examples/sequentialPipelineExample.js`: Demonstrates the sequential pipeline flow (ISense -> IMemory -> ICognition -> IConduit -> IActivation -> IPerception) ## How It Works @@ -942,8 +1212,30 @@ provides: - Efficient file operations using Node.js fs module - Configurable storage location -In environments where neither OPFS nor Node.js file system is available, the database automatically falls back to -in-memory storage. +For server environments, you can also use S3-compatible storage services, which provide: + +- Cloud-based persistent storage +- Scalable storage for production applications +- Geographic distribution + +Supported S3-compatible services include: + +1. **Cloudflare R2**: + - Compatible with S3 API + - Lower egress costs compared to other cloud providers + - Global distribution + +2. **Amazon S3**: + - The original S3 service + - Extensive feature set + - Available in multiple regions worldwide + +3. **Google Cloud Storage**: + - S3-compatible when using HMAC authentication + - Integration with other Google Cloud services + - Global infrastructure + +In environments where neither OPFS, Node.js file system, nor any S3-compatible storage service is available, the database automatically falls back to in-memory storage. ## API Reference @@ -978,6 +1270,8 @@ Search for similar vectors, optionally filtering by noun types - `updateMetadata(id: string, metadata: T): Promise` - Update metadata - `clear(): Promise` - Clear the database - `size(): number` - Get the number of vectors in the database +- `isReadOnly(): boolean` - Check if the database is in read-only mode +- `setReadOnly(readOnly: boolean): void` - Set the database to read-only mode or allow writes - `embed(data: string | string[]): Promise` - Embed text or data into a vector using the same embedding function used by this instance diff --git a/package-lock.json b/package-lock.json index 8e4e02d7..e065baea 100644 --- a/package-lock.json +++ b/package-lock.json @@ -9,6 +9,7 @@ "version": "0.5.3", "license": "MIT", "dependencies": { + "@aws-sdk/client-s3": "^3.427.0", "@tensorflow-models/universal-sentence-encoder": "^1.3.3", "@tensorflow/tfjs": "^4.22.0", "@tensorflow/tfjs-backend-cpu": "^4.22.0", @@ -45,6 +46,861 @@ "node": ">=6.0.0" } }, + "node_modules/@aws-crypto/crc32": { + "version": "5.2.0", + "resolved": "https://registry.npmjs.org/@aws-crypto/crc32/-/crc32-5.2.0.tgz", + "integrity": "sha512-nLbCWqQNgUiwwtFsen1AdzAtvuLRsQS8rYgMuxCrdKf9kOssamGLuPwyTY9wyYblNr9+1XM8v6zoDTPPSIeANg==", + "license": "Apache-2.0", + "dependencies": { + 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