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
179 lines
No EOL
6.5 KiB
JavaScript
179 lines
No EOL
6.5 KiB
JavaScript
/**
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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 function extractTextFromJson(jsonObject, options = {}) {
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// Set default options
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const { priorityFields = [], excludeFields = [], includeFieldNames = true, maxDepth = 5, currentDepth = 0, fieldPath = [] } = options;
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// If input is not an object or array, or we've reached max depth, return as string
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if (jsonObject === null ||
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jsonObject === undefined ||
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typeof jsonObject !== 'object' ||
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currentDepth >= maxDepth) {
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return String(jsonObject || '');
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}
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const extractedText = [];
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const priorityText = [];
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// Process arrays
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if (Array.isArray(jsonObject)) {
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for (let i = 0; i < jsonObject.length; i++) {
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const value = jsonObject[i];
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const newPath = [...fieldPath, i.toString()];
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// Recursively extract text from array items
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const itemText = extractTextFromJson(value, {
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priorityFields,
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excludeFields,
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includeFieldNames,
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maxDepth,
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currentDepth: currentDepth + 1,
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fieldPath: newPath
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});
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if (itemText) {
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extractedText.push(itemText);
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}
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}
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}
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// Process objects
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else {
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for (const [key, value] of Object.entries(jsonObject)) {
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// Skip excluded fields
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if (excludeFields.includes(key)) {
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continue;
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}
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const newPath = [...fieldPath, key];
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const fullPath = newPath.join('.');
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// Check if this is a priority field
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const isPriority = priorityFields.some(field => {
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// Exact match
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if (field === key)
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return true;
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// Path match
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if (field === fullPath)
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return true;
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// Wildcard match (e.g., "user.*" matches "user.name", "user.email", etc.)
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if (field.endsWith('.*') && fullPath.startsWith(field.slice(0, -2)))
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return true;
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return false;
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});
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// Get the field value as text
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let fieldText;
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if (typeof value === 'object' && value !== null) {
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// Recursively extract text from nested objects
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fieldText = extractTextFromJson(value, {
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priorityFields,
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excludeFields,
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includeFieldNames,
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maxDepth,
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currentDepth: currentDepth + 1,
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fieldPath: newPath
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});
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}
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else {
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fieldText = String(value || '');
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}
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// Add field name if requested
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if (includeFieldNames && fieldText) {
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fieldText = `${key}: ${fieldText}`;
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}
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// Add to appropriate collection
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if (fieldText) {
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if (isPriority) {
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priorityText.push(fieldText);
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}
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else {
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extractedText.push(fieldText);
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}
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}
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}
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}
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// Combine priority text (repeated for emphasis) and regular text
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return [...priorityText, ...priorityText, ...extractedText].join(' ');
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}
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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 function prepareJsonForVectorization(jsonDocument, options = {}) {
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// If input is a string, try to parse it as JSON
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let document = jsonDocument;
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if (typeof jsonDocument === 'string') {
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try {
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document = JSON.parse(jsonDocument);
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}
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catch (e) {
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// If parsing fails, treat it as a plain string
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return jsonDocument;
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}
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}
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// If not an object after parsing, return as is
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if (typeof document !== 'object' || document === null) {
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return String(document || '');
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}
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// Extract text from the document
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return extractTextFromJson(document, options);
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}
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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 function extractFieldFromJson(jsonDocument, fieldPath) {
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// If input is a string, try to parse it as JSON
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let document = jsonDocument;
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if (typeof jsonDocument === 'string') {
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try {
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document = JSON.parse(jsonDocument);
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}
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catch (e) {
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// If parsing fails, return empty string
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return '';
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}
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}
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// If not an object after parsing, return empty string
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if (typeof document !== 'object' || document === null) {
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return '';
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}
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// Parse the field path
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const parts = fieldPath.split('.');
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let current = document;
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// Navigate through the path
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for (const part of parts) {
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// Handle array indexing (e.g., "addresses[0]")
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const match = part.match(/^([^[]+)(?:\[(\d+)\])?$/);
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if (!match) {
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return '';
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}
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const [, key, indexStr] = match;
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// Move to the next level
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current = current[key];
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// If we have an array index, access that element
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if (indexStr !== undefined && Array.isArray(current)) {
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const index = parseInt(indexStr, 10);
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current = current[index];
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}
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// If we've reached a null or undefined value, return empty string
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if (current === null || current === undefined) {
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return '';
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}
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}
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// Convert the final value to string
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return typeof current === 'object'
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? JSON.stringify(current)
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: String(current);
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}
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//# sourceMappingURL=jsonProcessing.js.map
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