open-brainy/src/augmentations
David Snelling d5576ffb56 feat: comprehensive import progress tracking for all 7 formats
Add real-time progress reporting throughout the entire import pipeline
with a standardized API that works across all supported formats.

Workshop Team Feature Request:
- Eliminates "0% complete" hangs during AI extraction
- Shows continuous progress with entities/sec, throughput, ETA
- Reports contextual messages ("Processing page 5 of 23")
- Standardized progress API for CSV, PDF, Excel, JSON, Markdown, YAML, DOCX

Core Changes:
- Add FormatHandlerProgressHooks interface for extensible progress
- Wire up all 3 binary format handlers (CSV, PDF, Excel) with 7+ progress points
- Wire up all 4 text format importers (JSON, Markdown, YAML, DOCX)
- Add ImportProgress interface with stage, message, counts, throughput, ETA
- ImportCoordinator normalizes all format progress to standard interface

CLI Improvements:
- Import command now uses brain.import() directly with full progress
- Add --include-vfs flag to find command (v4.4.0 compatibility)
- Add --confidence and --weight options to add command

Documentation:
- docs/guides/standard-import-progress.md - Universal API guide
- docs/guides/import-progress-implementation.md - Developer guide
- docs/guides/import-progress-examples.md - Practical examples
- JSDoc on brain.import() with universal handler examples

Result: ONE progress handler works for ALL 7 formats with zero format-specific code!

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 14:45:46 -07:00
..
discovery feat: add browser environment compatibility support 2025-09-17 15:48:02 -07:00
display feat: add complete silent mode for TUI applications 2025-09-16 13:18:49 -07:00
intelligentImport feat: comprehensive import progress tracking for all 7 formats 2025-10-24 14:45:46 -07:00
typeMatching perf: pre-compute type embeddings at build time (zero runtime cost) 2025-10-09 18:08:57 -07:00
apiServerAugmentation.ts feat: remove legacy ImportManager, standardize getStats() API 2025-10-09 11:40:31 -07:00
auditLogAugmentation.ts feat: add browser environment compatibility support 2025-09-17 15:48:02 -07:00
AugmentationMetadataContract.ts feat: comprehensive metadata namespace architecture and cleanup system 2025-08-27 15:38:48 -07:00
batchProcessingAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
brainyAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
cacheAugmentation.ts feat: add complete silent mode for TUI applications 2025-09-16 13:18:49 -07:00
conduitAugmentations.ts feat: modernize API architecture and deprecation handling 2025-09-17 11:54:20 -07:00
configResolver.ts feat: add browser environment compatibility support 2025-09-17 14:53:54 -07:00
connectionPoolAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
defaultAugmentations.ts feat: add intelligent import for CSV, Excel, and PDF files 2025-10-01 16:51:03 -07:00
discovery.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
entityRegistryAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
indexAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
intelligentVerbScoringAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
manifest.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
metadataEnforcer.ts feat: comprehensive metadata namespace architecture and cleanup system 2025-08-27 15:38:48 -07:00
metricsAugmentation.ts feat: add complete silent mode for TUI applications 2025-09-16 13:18:49 -07:00
monitoringAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
neuralImport.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
rateLimitAugmentation.ts feat: add distributed scaling and enterprise features for v3 2025-09-08 14:26:09 -07:00
README.md feat: add intelligent import for CSV, Excel, and PDF files 2025-10-01 16:51:03 -07:00
requestDeduplicatorAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
storageAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
storageAugmentations.ts feat(v4.0.0): Complete metadata/vector separation architecture with Azure support 2025-10-17 12:29:27 -07:00
synapseAugmentation.ts feat: Brainy 3.0 - Production-ready Triple Intelligence database 2025-09-11 16:23:32 -07:00
universalDisplayAugmentation.ts feat: add complete silent mode for TUI applications 2025-09-16 13:18:49 -07:00

Brainy Logo

Brainy Augmentations

This directory contains the augmentation implementations for Brainy. Augmentations are pluggable components that extend Brainy's functionality in various ways.

Available Augmentations

Core Augmentations

IntelligentImportAugmentation

Automatically detects and processes CSV, Excel, and PDF files with intelligent extraction. This augmentation is enabled by default and provides:

  • CSV Support: Auto-detection of encoding, delimiters, and field types
  • Excel Support: Multi-sheet extraction with metadata preservation
  • PDF Support: Text extraction, table detection, and metadata extraction
  • Type Inference: Automatically infers data types (string, number, boolean, date)
  • Neural Integration: Seamlessly integrates with entity extraction and relationship detection
import { Brainy } from '@soulcraft/brainy'

const brain = new Brainy({
  intelligentImport: {
    enableCSV: true,
    enableExcel: true,
    enablePDF: true,
    maxFileSize: 100 * 1024 * 1024  // 100MB
  }
})
await brain.init()

// Import CSV with auto-detection
await brain.import('customers.csv')

// Import Excel with specific sheets
await brain.import('sales-data.xlsx', {
  excelSheets: ['Q1', 'Q2']
})

// Import PDF with table extraction
await brain.import('report.pdf', {
  pdfExtractTables: true
})

See: Import Anything Guide | Example

Conduit Augmentations

Conduit augmentations provide data synchronization between Brainy instances.

WebSocketConduitAugmentation

A conduit augmentation that syncs Brainy instances using WebSockets. This is used for syncing between browsers and servers, or between servers.

import { createConduitAugmentation, augmentationPipeline } from '@soulcraft/brainy'

// Create a WebSocket conduit augmentation
const wsConduit = await createConduitAugmentation('websocket', 'my-websocket-sync')

// Register the augmentation with the pipeline
augmentationPipeline.register(wsConduit)

// Connect to another Brainy instance
const connectionResult = await wsConduit.establishConnection(
  'wss://your-websocket-server.com/brainy-sync',
  { protocols: 'brainy-sync' }
)

WebRTCConduitAugmentation

A conduit augmentation that syncs Brainy instances using WebRTC. This is used for direct peer-to-peer syncing between browsers.

import { createConduitAugmentation, augmentationPipeline } from '@soulcraft/brainy'

// Create a WebRTC conduit augmentation
const webrtcConduit = await createConduitAugmentation('webrtc', 'my-webrtc-sync')

// Register the augmentation with the pipeline
augmentationPipeline.register(webrtcConduit)

// Connect to a peer
const connectionResult = await webrtcConduit.establishConnection(
  'peer-id-to-connect-to',
  {
    signalServerUrl: 'wss://your-signal-server.com',
    localPeerId: 'my-peer-id',
    iceServers: [{ urls: 'stun:stun.l.google.com:19302' }]
  }
)

ServerSearchConduitAugmentation

A specialized conduit augmentation that provides functionality for searching a server-hosted Brainy instance and storing results locally. This allows you to:

  • Search a server-hosted Brainy instance from a browser
  • Store the search results in a local Brainy instance
  • Perform further searches against the local instance without needing to query the server again
  • Add data to both local and server instances
import {
  ServerSearchConduitAugmentation,
  createServerSearchAugmentations,
  augmentationPipeline
} from '@soulcraft/brainy'

// Using the factory function (recommended)
const { conduit, activation, connection } = await createServerSearchAugmentations(
  'wss://your-brainy-server.com/ws',
  { protocols: 'brainy-sync' }
)

// Register the augmentations with the pipeline
augmentationPipeline.register(conduit)
augmentationPipeline.register(activation)

// Search the server and store results locally
const serverSearchResult = await conduit.searchServer(
  connection.connectionId,
  'your search query',
  5 // limit
)

// Search the local instance
const localSearchResult = await conduit.searchLocal('your search query', 5)

// Perform a combined search (local first, then server if needed)
const combinedSearchResult = await conduit.searchCombined(
  connection.connectionId,
  'your search query',
  5
)

// Add data to both local and server
const addResult = await conduit.addToBoth(
  connection.connectionId,
  'Text to add',
  { /* metadata */ }
)

Activation Augmentations

Activation augmentations dictate how Brainy initiates actions, responses, or data manipulations.

ServerSearchActivationAugmentation

An activation augmentation that provides actions for server search functionality. This works in conjunction with the ServerSearchConduitAugmentation to provide a complete solution for browser-server search.

import {
  ServerSearchActivationAugmentation,
  createServerSearchAugmentations,
  augmentationPipeline
} from '@soulcraft/brainy'

// Using the factory function (recommended)
const { conduit, activation, connection } = await createServerSearchAugmentations(
  'wss://your-brainy-server.com/ws',
  { protocols: 'brainy-sync' }
)

// Register the augmentations with the pipeline
augmentationPipeline.register(conduit)
augmentationPipeline.register(activation)

// Use the activation augmentation to search the server
const serverSearchAction = activation.triggerAction('searchServer', {
  connectionId: connection.connectionId,
  query: 'your search query',
  limit: 5
})

if (serverSearchAction.success) {
  // The data property contains a promise that will resolve to the search results
  const serverSearchResult = await serverSearchAction.data
  console.log('Server search results:', serverSearchResult)
}

// Other available actions:
// - 'connectToServer': Connect to a server
// - 'searchLocal': Search the local instance
// - 'searchCombined': Search both local and server
// - 'addToBoth': Add data to both local and server

Using the Augmentation Pipeline

The augmentation pipeline provides a way to execute augmentations based on their type.

import { augmentationPipeline } from '@soulcraft/brainy'

// Execute a conduit augmentation
const conduitResults = await augmentationPipeline.executeConduitPipeline(
  'methodName',
  [arg1, arg2, ...],
  { /* options */ }
)

// Execute an activation augmentation
const activationResults = await augmentationPipeline.executeActivationPipeline(
  'methodName',
  [arg1, arg2, ...],
  { /* options */ }
)

Creating Custom Augmentations

To create a custom augmentation, implement one of the augmentation interfaces:

  • ISenseAugmentation: For processing raw data
  • IConduitAugmentation: For data synchronization
  • ICognitionAugmentation: For reasoning and inference
  • IMemoryAugmentation: For data storage
  • IPerceptionAugmentation: For data interpretation and visualization
  • IDialogAugmentation: For natural language processing
  • IActivationAugmentation: For triggering actions

Example:

import { AugmentationType, IActivationAugmentation } from '@soulcraft/brainy'

class MyCustomActivation implements IActivationAugmentation {
  readonly
  name = 'my-custom-activation'
  readonly
  description = 'My custom activation augmentation'
  enabled = true

  getType(): AugmentationType {
    return AugmentationType.ACTIVATION
  }

  async initialize(): Promise<void> {
    // Initialization code
  }

  async shutDown(): Promise<void> {
    // Cleanup code
  }

  async getStatus(): Promise<'active' | 'inactive' | 'error'> {
    return 'active'
  }

  triggerAction(actionName: string, parameters

?:

  Record<string, unknown>

):

  AugmentationResponse<unknown> {
    // Implementation
  }

  generateOutput(knowledgeId: string, format: string): AugmentationResponse<string | Record<string, unknown

>> {
  // Implementation
}

interactExternal(systemId
:
string, payload
:
Record < string, unknown >
):
AugmentationResponse < unknown > {
  // Implementation
}
}