Deleted augmentation pipeline examples and `.releaserc.json`, streamlining the repository by eliminating redundant example implementations and release automation files.
624 lines
21 KiB
TypeScript
624 lines
21 KiB
TypeScript
/**
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* Augmentation Event Pipeline
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*
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* This module provides a pipeline for managing and executing multiple augmentations
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* of each type. It allows registering multiple augmentations and executing them
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* in sequence or in parallel.
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*/
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import {
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BrainyAugmentations,
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IAugmentation,
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IWebSocketSupport,
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AugmentationResponse,
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AugmentationType
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} from './types/augmentations.js'
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/**
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* Type definitions for the augmentation registry
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*/
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type AugmentationRegistry = {
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sense: BrainyAugmentations.ISenseAugmentation[];
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conduit: BrainyAugmentations.IConduitAugmentation[];
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cognition: BrainyAugmentations.ICognitionAugmentation[];
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memory: BrainyAugmentations.IMemoryAugmentation[];
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perception: BrainyAugmentations.IPerceptionAugmentation[];
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dialog: BrainyAugmentations.IDialogAugmentation[];
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activation: BrainyAugmentations.IActivationAugmentation[];
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webSocket: IWebSocketSupport[];
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}
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/**
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* Execution mode for the pipeline
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*/
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export enum ExecutionMode {
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SEQUENTIAL = 'sequential',
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PARALLEL = 'parallel',
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FIRST_SUCCESS = 'firstSuccess',
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FIRST_RESULT = 'firstResult'
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}
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/**
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* Options for pipeline execution
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*/
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export interface PipelineOptions {
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mode?: ExecutionMode;
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timeout?: number;
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stopOnError?: boolean;
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}
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/**
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* Default pipeline options
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*/
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const DEFAULT_PIPELINE_OPTIONS: PipelineOptions = {
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mode: ExecutionMode.SEQUENTIAL,
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timeout: 30000,
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stopOnError: false
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}
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/**
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* AugmentationPipeline class
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*
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* Manages multiple augmentations of each type and provides methods to execute them.
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*/
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export class AugmentationPipeline {
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private registry: AugmentationRegistry = {
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sense: [],
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conduit: [],
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cognition: [],
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memory: [],
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perception: [],
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dialog: [],
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activation: [],
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webSocket: []
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}
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/**
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* Register an augmentation with the pipeline
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*
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* @param augmentation The augmentation to register
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* @returns The pipeline instance for chaining
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*/
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public register<T extends IAugmentation>(augmentation: T): AugmentationPipeline {
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let registered = false
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// Check for specific augmentation types
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if (this.isAugmentationType<BrainyAugmentations.ISenseAugmentation>(
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augmentation,
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'processRawData',
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'listenToFeed'
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)) {
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this.registry.sense.push(augmentation)
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registered = true
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} else if (this.isAugmentationType<BrainyAugmentations.IConduitAugmentation>(
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augmentation,
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'establishConnection',
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'readData',
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'writeData',
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'monitorStream'
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)) {
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this.registry.conduit.push(augmentation)
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registered = true
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} else if (this.isAugmentationType<BrainyAugmentations.ICognitionAugmentation>(
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augmentation,
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'reason',
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'infer',
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'executeLogic'
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)) {
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this.registry.cognition.push(augmentation)
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registered = true
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} else if (this.isAugmentationType<BrainyAugmentations.IMemoryAugmentation>(
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augmentation,
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'storeData',
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'retrieveData',
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'updateData',
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'deleteData',
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'listDataKeys'
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)) {
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this.registry.memory.push(augmentation)
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registered = true
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} else if (this.isAugmentationType<BrainyAugmentations.IPerceptionAugmentation>(
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augmentation,
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'interpret',
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'organize',
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'generateVisualization'
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)) {
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this.registry.perception.push(augmentation)
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registered = true
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} else if (this.isAugmentationType<BrainyAugmentations.IDialogAugmentation>(
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augmentation,
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'processUserInput',
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'generateResponse',
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'manageContext'
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)) {
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this.registry.dialog.push(augmentation)
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registered = true
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} else if (this.isAugmentationType<BrainyAugmentations.IActivationAugmentation>(
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augmentation,
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'triggerAction',
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'generateOutput',
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'interactExternal'
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)) {
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this.registry.activation.push(augmentation)
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registered = true
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}
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// Check if the augmentation supports WebSocket
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if (this.isAugmentationType<IWebSocketSupport>(
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augmentation,
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'connectWebSocket',
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'sendWebSocketMessage',
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'onWebSocketMessage',
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'closeWebSocket'
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)) {
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this.registry.webSocket.push(augmentation as IWebSocketSupport)
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registered = true
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}
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// If the augmentation wasn't registered as any known type, throw an error
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if (!registered) {
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throw new Error(`Unknown augmentation type: ${augmentation.name}`)
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}
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return this
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}
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/**
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* Unregister an augmentation from the pipeline
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*
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* @param augmentationName The name of the augmentation to unregister
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* @returns The pipeline instance for chaining
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*/
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public unregister(augmentationName: string): AugmentationPipeline {
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let found = false
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// Remove from all registries
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for (const type in this.registry) {
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const typedRegistry = this.registry[type as keyof AugmentationRegistry]
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const index = typedRegistry.findIndex(aug => aug.name === augmentationName)
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if (index !== -1) {
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typedRegistry.splice(index, 1)
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found = true
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}
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}
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return this
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}
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/**
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* Initialize all registered augmentations
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*
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* @returns A promise that resolves when all augmentations are initialized
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*/
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public async initialize(): Promise<void> {
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const allAugmentations = this.getAllAugmentations()
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await Promise.all(
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allAugmentations.map(augmentation =>
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augmentation.initialize().catch(error => {
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console.error(`Failed to initialize augmentation ${augmentation.name}:`, error)
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})
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)
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)
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}
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/**
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* Shut down all registered augmentations
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*
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* @returns A promise that resolves when all augmentations are shut down
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*/
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public async shutDown(): Promise<void> {
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const allAugmentations = this.getAllAugmentations()
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await Promise.all(
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allAugmentations.map(augmentation =>
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augmentation.shutDown().catch(error => {
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console.error(`Failed to shut down augmentation ${augmentation.name}:`, error)
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})
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)
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)
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}
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/**
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* Execute a sense pipeline
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*
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* @param method The method to execute on each sense augmentation
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* @param args The arguments to pass to the method
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* @param options The pipeline execution options
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* @returns A promise that resolves with the results from all augmentations
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*/
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public async executeSensePipeline<
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M extends keyof BrainyAugmentations.ISenseAugmentation & string,
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R extends BrainyAugmentations.ISenseAugmentation[M] extends (...args: any[]) => AugmentationResponse<infer U> ? U : never
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>(
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method: M & (BrainyAugmentations.ISenseAugmentation[M] extends (...args: any[]) => any ? M : never),
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args: Parameters<Extract<BrainyAugmentations.ISenseAugmentation[M], (...args: any[]) => any>>,
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options: PipelineOptions = {}
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): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
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const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
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return this.executeTypedPipeline<BrainyAugmentations.ISenseAugmentation, M, R>(
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this.registry.sense,
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method,
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args,
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opts
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)
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}
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/**
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* Execute a conduit pipeline
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*
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* @param method The method to execute on each conduit augmentation
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* @param args The arguments to pass to the method
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* @param options The pipeline execution options
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* @returns A promise that resolves with the results from all augmentations
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*/
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public async executeConduitPipeline<
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M extends keyof BrainyAugmentations.IConduitAugmentation & string,
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R extends BrainyAugmentations.IConduitAugmentation[M] extends (...args: any[]) => AugmentationResponse<infer U> ? U : never
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>(
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method: M & (BrainyAugmentations.IConduitAugmentation[M] extends (...args: any[]) => any ? M : never),
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args: Parameters<Extract<BrainyAugmentations.IConduitAugmentation[M], (...args: any[]) => any>>,
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options: PipelineOptions = {}
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): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
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const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
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return this.executeTypedPipeline<BrainyAugmentations.IConduitAugmentation, M, R>(
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this.registry.conduit,
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method,
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args,
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opts
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)
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}
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/**
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* Execute a cognition pipeline
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*
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* @param method The method to execute on each cognition augmentation
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* @param args The arguments to pass to the method
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* @param options The pipeline execution options
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* @returns A promise that resolves with the results from all augmentations
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*/
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public async executeCognitionPipeline<
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M extends keyof BrainyAugmentations.ICognitionAugmentation & string,
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R extends BrainyAugmentations.ICognitionAugmentation[M] extends (...args: any[]) => AugmentationResponse<infer U> ? U : never
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>(
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method: M & (BrainyAugmentations.ICognitionAugmentation[M] extends (...args: any[]) => any ? M : never),
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args: Parameters<Extract<BrainyAugmentations.ICognitionAugmentation[M], (...args: any[]) => any>>,
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options: PipelineOptions = {}
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): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
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const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
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return this.executeTypedPipeline<BrainyAugmentations.ICognitionAugmentation, M, R>(
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this.registry.cognition,
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method,
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args,
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opts
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)
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}
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/**
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* Execute a memory pipeline
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*
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* @param method The method to execute on each memory augmentation
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* @param args The arguments to pass to the method
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* @param options The pipeline execution options
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* @returns A promise that resolves with the results from all augmentations
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*/
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public async executeMemoryPipeline<
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M extends keyof BrainyAugmentations.IMemoryAugmentation & string,
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R extends BrainyAugmentations.IMemoryAugmentation[M] extends (...args: any[]) => AugmentationResponse<infer U> ? U : never
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>(
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method: M & (BrainyAugmentations.IMemoryAugmentation[M] extends (...args: any[]) => any ? M : never),
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args: Parameters<Extract<BrainyAugmentations.IMemoryAugmentation[M], (...args: any[]) => any>>,
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options: PipelineOptions = {}
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): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
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const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
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return this.executeTypedPipeline<BrainyAugmentations.IMemoryAugmentation, M, R>(
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this.registry.memory,
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method,
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args,
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opts
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)
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}
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/**
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* Execute a perception pipeline
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*
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* @param method The method to execute on each perception augmentation
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* @param args The arguments to pass to the method
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* @param options The pipeline execution options
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* @returns A promise that resolves with the results from all augmentations
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*/
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public async executePerceptionPipeline<
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M extends keyof BrainyAugmentations.IPerceptionAugmentation & string,
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R extends BrainyAugmentations.IPerceptionAugmentation[M] extends (...args: any[]) => AugmentationResponse<infer U> ? U : never
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>(
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method: M & (BrainyAugmentations.IPerceptionAugmentation[M] extends (...args: any[]) => any ? M : never),
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args: Parameters<Extract<BrainyAugmentations.IPerceptionAugmentation[M], (...args: any[]) => any>>,
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options: PipelineOptions = {}
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): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
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const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
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return this.executeTypedPipeline<BrainyAugmentations.IPerceptionAugmentation, M, R>(
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this.registry.perception,
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method,
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args,
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opts
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)
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}
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/**
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* Execute a dialog pipeline
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*
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* @param method The method to execute on each dialog augmentation
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* @param args The arguments to pass to the method
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* @param options The pipeline execution options
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* @returns A promise that resolves with the results from all augmentations
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*/
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public async executeDialogPipeline<
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M extends keyof BrainyAugmentations.IDialogAugmentation & string,
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R extends BrainyAugmentations.IDialogAugmentation[M] extends (...args: any[]) => AugmentationResponse<infer U> ? U : never
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>(
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method: M & (BrainyAugmentations.IDialogAugmentation[M] extends (...args: any[]) => any ? M : never),
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args: Parameters<Extract<BrainyAugmentations.IDialogAugmentation[M], (...args: any[]) => any>>,
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options: PipelineOptions = {}
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): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
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const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
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return this.executeTypedPipeline<BrainyAugmentations.IDialogAugmentation, M, R>(
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this.registry.dialog,
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method,
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args,
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opts
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)
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}
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/**
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* Execute an activation pipeline
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*
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* @param method The method to execute on each activation augmentation
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* @param args The arguments to pass to the method
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* @param options The pipeline execution options
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* @returns A promise that resolves with the results from all augmentations
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*/
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public async executeActivationPipeline<
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M extends keyof BrainyAugmentations.IActivationAugmentation & string,
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R extends BrainyAugmentations.IActivationAugmentation[M] extends (...args: any[]) => AugmentationResponse<infer U> ? U : never
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>(
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method: M & (BrainyAugmentations.IActivationAugmentation[M] extends (...args: any[]) => any ? M : never),
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args: Parameters<Extract<BrainyAugmentations.IActivationAugmentation[M], (...args: any[]) => any>>,
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options: PipelineOptions = {}
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): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
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const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
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return this.executeTypedPipeline<BrainyAugmentations.IActivationAugmentation, M, R>(
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this.registry.activation,
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method,
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args,
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opts
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)
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}
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/**
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* Get all registered augmentations
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*
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* @returns An array of all registered augmentations
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*/
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public getAllAugmentations(): IAugmentation[] {
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// Create a Set to avoid duplicates (an augmentation might be in multiple registries)
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const allAugmentations = new Set<IAugmentation>([
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...this.registry.sense,
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...this.registry.conduit,
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...this.registry.cognition,
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...this.registry.memory,
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...this.registry.perception,
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...this.registry.dialog,
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...this.registry.activation,
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...this.registry.webSocket
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])
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// Convert back to array
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return Array.from(allAugmentations)
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}
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/**
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* Get all augmentations of a specific type
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*
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* @param type The type of augmentation to get
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* @returns An array of all augmentations of the specified type
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*/
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public getAugmentationsByType(type: AugmentationType): IAugmentation[] {
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switch (type) {
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case AugmentationType.SENSE:
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return [...this.registry.sense]
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case AugmentationType.CONDUIT:
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return [...this.registry.conduit]
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case AugmentationType.COGNITION:
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return [...this.registry.cognition]
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case AugmentationType.MEMORY:
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return [...this.registry.memory]
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case AugmentationType.PERCEPTION:
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return [...this.registry.perception]
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case AugmentationType.DIALOG:
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return [...this.registry.dialog]
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case AugmentationType.ACTIVATION:
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return [...this.registry.activation]
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case AugmentationType.WEBSOCKET:
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return [...this.registry.webSocket]
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default:
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return []
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}
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}
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/**
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* Get all available augmentation types
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*
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* @returns An array of all augmentation types that have at least one registered augmentation
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*/
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public getAvailableAugmentationTypes(): AugmentationType[] {
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const availableTypes: AugmentationType[] = []
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if (this.registry.sense.length > 0) availableTypes.push(AugmentationType.SENSE)
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if (this.registry.conduit.length > 0) availableTypes.push(AugmentationType.CONDUIT)
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if (this.registry.cognition.length > 0) availableTypes.push(AugmentationType.COGNITION)
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if (this.registry.memory.length > 0) availableTypes.push(AugmentationType.MEMORY)
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if (this.registry.perception.length > 0) availableTypes.push(AugmentationType.PERCEPTION)
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if (this.registry.dialog.length > 0) availableTypes.push(AugmentationType.DIALOG)
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if (this.registry.activation.length > 0) availableTypes.push(AugmentationType.ACTIVATION)
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if (this.registry.webSocket.length > 0) availableTypes.push(AugmentationType.WEBSOCKET)
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return availableTypes
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}
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/**
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* Get all WebSocket-supporting augmentations
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*
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* @returns An array of all augmentations that support WebSocket connections
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*/
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public getWebSocketAugmentations(): IWebSocketSupport[] {
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return [...this.registry.webSocket]
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}
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/**
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* Check if an augmentation is of a specific type
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*
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* @param augmentation The augmentation to check
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* @param methods The methods that should be present on the augmentation
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* @returns True if the augmentation is of the specified type
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*/
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private isAugmentationType<T extends IAugmentation>(
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augmentation: IAugmentation,
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...methods: (keyof T)[]
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): augmentation is T {
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// First check that the augmentation has all the required base methods
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const baseMethodsExist = [
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'initialize',
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'shutDown',
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'getStatus'
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].every(method => typeof (augmentation as any)[method] === 'function')
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if (!baseMethodsExist) {
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return false
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}
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// Then check that it has all the specific methods for this type
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return methods.every(method => typeof (augmentation as any)[method] === 'function')
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}
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/**
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* Execute a pipeline for a specific augmentation type
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*
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* @param augmentations The augmentations to execute
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* @param method The method to execute on each augmentation
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* @param args The arguments to pass to the method
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* @param options The pipeline execution options
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* @returns A promise that resolves with the results from all augmentations
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*/
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private async executeTypedPipeline<
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T extends IAugmentation,
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M extends keyof T & string,
|
|
R extends T[M] extends (...args: any[]) => AugmentationResponse<infer U> ? U : never
|
|
>(
|
|
augmentations: T[],
|
|
method: M & (T[M] extends (...args: any[]) => any ? M : never),
|
|
args: Parameters<Extract<T[M], (...args: any[]) => any>>,
|
|
options: PipelineOptions
|
|
): Promise<Promise<{
|
|
success: boolean
|
|
data: R
|
|
error?: string
|
|
}>[]> {
|
|
if (augmentations.length === 0) {
|
|
return []
|
|
}
|
|
|
|
// Create a function to execute the method on an augmentation
|
|
const executeMethod = async (augmentation: T): Promise<{
|
|
success: boolean
|
|
data: R
|
|
error?: string
|
|
}> => {
|
|
try {
|
|
// Create a timeout promise if a timeout is specified
|
|
const timeoutPromise = options.timeout
|
|
? new Promise<{
|
|
success: boolean
|
|
data: R
|
|
error?: string
|
|
}>((_, reject) => {
|
|
setTimeout(() => {
|
|
reject(new Error(`Timeout executing ${String(method)} on ${augmentation.name}`))
|
|
}, options.timeout)
|
|
})
|
|
: null
|
|
|
|
// Execute the method on the augmentation
|
|
const methodPromise = (augmentation[method] as Function)(...args) as AugmentationResponse<R>
|
|
|
|
// Race the method promise against the timeout promise if a timeout is specified
|
|
const result = timeoutPromise
|
|
? await Promise.race([methodPromise, timeoutPromise])
|
|
: await methodPromise
|
|
|
|
return result
|
|
} catch (error) {
|
|
console.error(`Error executing ${String(method)} on ${augmentation.name}:`, error)
|
|
return {
|
|
success: false,
|
|
data: null as unknown as R,
|
|
error: error instanceof Error ? error.message : String(error)
|
|
}
|
|
}
|
|
}
|
|
|
|
// Execute the pipeline based on the specified mode
|
|
switch (options.mode) {
|
|
case ExecutionMode.PARALLEL:
|
|
// Execute all augmentations in parallel
|
|
return augmentations.map(executeMethod)
|
|
|
|
case ExecutionMode.FIRST_SUCCESS:
|
|
// Execute augmentations sequentially until one succeeds
|
|
for (const augmentation of augmentations) {
|
|
const resultPromise = executeMethod(augmentation)
|
|
const result = await resultPromise
|
|
if (result.success) {
|
|
return [resultPromise]
|
|
}
|
|
}
|
|
return []
|
|
|
|
case ExecutionMode.FIRST_RESULT:
|
|
// Execute augmentations sequentially until one returns a result
|
|
for (const augmentation of augmentations) {
|
|
const resultPromise = executeMethod(augmentation)
|
|
const result = await resultPromise
|
|
if (result.success && result.data) {
|
|
return [resultPromise]
|
|
}
|
|
}
|
|
return []
|
|
|
|
case ExecutionMode.SEQUENTIAL:
|
|
default:
|
|
// Execute augmentations sequentially
|
|
const results: Promise<{
|
|
success: boolean
|
|
data: R
|
|
error?: string
|
|
}>[] = []
|
|
for (const augmentation of augmentations) {
|
|
const resultPromise = executeMethod(augmentation)
|
|
results.push(resultPromise)
|
|
|
|
// Check if we need to stop on error
|
|
if (options.stopOnError) {
|
|
const result = await resultPromise
|
|
if (!result.success) {
|
|
break
|
|
}
|
|
}
|
|
}
|
|
return results
|
|
}
|
|
}
|
|
}
|
|
|
|
// Create and export a default instance of the pipeline
|
|
export const augmentationPipeline = new AugmentationPipeline()
|