David Snelling
8ff382ca3b
CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB Recovery Status: - Successfully recovered brainy.ts from compiled JavaScript - All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.) - Neural subsystem intact (562KB embedded patterns, NLP working) - Augmentation pipeline operational (20+ augmentations) - HNSW clustering system complete - Triple Intelligence compiled (needs constructor fix) - Test suite validates functionality Changes preserved: - 898 files with changes from last 3 days - 144,475 insertions - All augmentation improvements - All test coverage enhancements - Complete v3.0 feature set This is a LOCAL checkpoint only - contains recovered work after corruption incident. Created backup in .backups/brainy-full-20250910-151314.tar.gz Branch: recovery-checkpoint-20250910-151433 Date: Wed Sep 10 03:18:04 PM PDT 2025
43 lines
1.6 KiB
TypeScript
43 lines
1.6 KiB
TypeScript
/**
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* Utility functions for processing JSON documents for vectorization and search
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*/
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/**
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* Extracts text from a JSON object for vectorization
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* This function recursively processes the JSON object and extracts text from all fields
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* It can also prioritize specific fields if provided
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*
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* @param jsonObject The JSON object to extract text from
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* @param options Configuration options for text extraction
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* @returns A string containing the extracted text
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*/
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export declare function extractTextFromJson(jsonObject: any, options?: {
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priorityFields?: string[];
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excludeFields?: string[];
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includeFieldNames?: boolean;
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maxDepth?: number;
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currentDepth?: number;
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fieldPath?: string[];
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}): string;
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/**
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* Prepares a JSON document for vectorization
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* This function extracts text from the JSON document and formats it for optimal vectorization
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*
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* @param jsonDocument The JSON document to prepare
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* @param options Configuration options for preparation
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* @returns A string ready for vectorization
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*/
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export declare function prepareJsonForVectorization(jsonDocument: any, options?: {
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priorityFields?: string[];
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excludeFields?: string[];
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includeFieldNames?: boolean;
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maxDepth?: number;
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}): string;
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/**
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* Extracts text from a specific field in a JSON document
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* This is useful for searching within specific fields
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*
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* @param jsonDocument The JSON document to extract from
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* @param fieldPath The path to the field (e.g., "user.name" or "addresses[0].city")
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* @returns The extracted text or empty string if field not found
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*/
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export declare function extractFieldFromJson(jsonDocument: any, fieldPath: string): string;
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