Deleted `examples/externalPlugins.js` and `pluginLoader.ts` as they are no longer used. Updated all `.ts` imports to `.js` across the codebase. Added `MemberOf` to `VerbType` and filtered disabled augmentations in `executeAugmentationPipeline`. Updated documentation to reflect new augmentation registration process. Removed deprecated `allowImportingTsExtensions` from `tsconfig.json`.
184 lines
4.4 KiB
JavaScript
184 lines
4.4 KiB
JavaScript
/**
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* Example: Registering Augmentations at Build Time
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*
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* This example demonstrates how to register custom augmentations at build time
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* using the Brainy library's augmentation registry system.
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*/
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// Import the augmentation registry and types from Brainy
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import {
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registerAugmentation,
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AugmentationType,
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BrainyAugmentations
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} from '../dist/index.js';
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// Define a custom sense augmentation
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class CustomTextSenseAugmentation {
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constructor() {
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this.name = 'CustomTextSenseAugmentation';
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this.enabled = true;
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this.type = AugmentationType.SENSE;
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}
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// Required IAugmentation methods
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async initialize() {
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console.log('Initializing CustomTextSenseAugmentation');
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return true;
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}
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async shutDown() {
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console.log('Shutting down CustomTextSenseAugmentation');
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return true;
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}
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getStatus() {
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return {
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name: this.name,
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enabled: this.enabled,
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type: this.type,
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status: 'ready'
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};
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}
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// ISenseAugmentation methods
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async processRawData(rawData, dataType) {
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console.log(`Processing ${dataType} data: ${rawData.substring(0, 50)}...`);
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// Simple implementation to extract nouns and verbs
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const words = rawData.split(' ');
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const nouns = words.filter(word => word.length > 4);
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const verbs = words.filter(word => word.endsWith('ing'));
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return {
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success: true,
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data: { nouns, verbs }
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};
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}
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async listenToFeed(feedUrl, callback) {
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console.log(`Listening to feed at ${feedUrl}`);
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// In a real implementation, this would set up a listener
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// For this example, we'll just call the callback once
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setTimeout(() => {
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callback({
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success: true,
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data: { message: 'Feed update received' }
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});
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}, 1000);
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return {
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success: true,
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data: { feedId: 'example-feed-1' }
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};
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}
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}
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// Define a custom memory augmentation
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class CustomMemoryAugmentation {
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constructor() {
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this.name = 'CustomMemoryAugmentation';
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this.enabled = true;
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this.type = AugmentationType.MEMORY;
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this.storage = new Map();
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}
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// Required IAugmentation methods
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async initialize() {
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console.log('Initializing CustomMemoryAugmentation');
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return true;
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}
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async shutDown() {
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console.log('Shutting down CustomMemoryAugmentation');
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this.storage.clear();
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return true;
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}
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getStatus() {
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return {
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name: this.name,
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enabled: this.enabled,
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type: this.type,
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status: 'ready',
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itemCount: this.storage.size
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};
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}
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// IMemoryAugmentation methods
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async storeData(key, data, options = {}) {
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console.log(`Storing data with key: ${key}`);
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this.storage.set(key, data);
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return {
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success: true,
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data: { key }
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};
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}
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async retrieveData(key, options = {}) {
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console.log(`Retrieving data with key: ${key}`);
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const data = this.storage.get(key);
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return {
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success: !!data,
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data: data || null,
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error: !data ? 'Key not found' : undefined
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};
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}
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async updateData(key, data, options = {}) {
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console.log(`Updating data with key: ${key}`);
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if (!this.storage.has(key)) {
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return {
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success: false,
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data: null,
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error: 'Key not found'
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};
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}
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this.storage.set(key, data);
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return {
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success: true,
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data: { key }
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};
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}
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async deleteData(key, options = {}) {
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console.log(`Deleting data with key: ${key}`);
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const existed = this.storage.has(key);
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this.storage.delete(key);
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return {
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success: existed,
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data: { deleted: existed },
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error: !existed ? 'Key not found' : undefined
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};
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}
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async listDataKeys(pattern = '*', options = {}) {
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console.log(`Listing data keys with pattern: ${pattern}`);
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// Simple implementation that returns all keys
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// A real implementation would filter by pattern
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const keys = Array.from(this.storage.keys());
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return {
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success: true,
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data: { keys }
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};
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}
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}
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// Register the augmentations with the registry
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// This will make them available to the Brainy library at runtime
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const textSenseAugmentation = registerAugmentation(new CustomTextSenseAugmentation());
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const memoryAugmentation = registerAugmentation(new CustomMemoryAugmentation());
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console.log('Custom augmentations registered successfully');
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// Export the registered augmentations for use in the application
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export { textSenseAugmentation, memoryAugmentation };
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