Initial commit: Brainy - Multi-Dimensional AI Database

Open source vector database with HNSW indexing, graph relationships,
and metadata facets. Features CLI with professional augmentation registry
integration for discovering extensions and capabilities.

dist/utils/fieldNameTracking.js

@@ -0,0 +1,90 @@
+/**
+ * Utility functions for tracking and managing field names in JSON documents
+ */
+/**
+ * Extracts field names from a JSON document
+ * @param jsonObject The JSON object to extract field names from
+ * @param options Configuration options
+ * @returns An array of field paths (e.g., "user.name", "addresses[0].city")
+ */
+export function extractFieldNamesFromJson(jsonObject, options = {}) {
+    const { maxDepth = 5, currentDepth = 0, currentPath = '', fieldNames = new Set() } = options;
+    if (jsonObject === null ||
+        jsonObject === undefined ||
+        typeof jsonObject !== 'object' ||
+        currentDepth >= maxDepth) {
+        return Array.from(fieldNames);
+    }
+    if (Array.isArray(jsonObject)) {
+        // For arrays, we'll just check the first item to avoid explosion of paths
+        if (jsonObject.length > 0) {
+            const arrayPath = currentPath ? `${currentPath}[0]` : '[0]';
+            extractFieldNamesFromJson(jsonObject[0], {
+                maxDepth,
+                currentDepth: currentDepth + 1,
+                currentPath: arrayPath,
+                fieldNames
+            });
+        }
+    }
+    else {
+        // For objects, process each property
+        for (const key of Object.keys(jsonObject)) {
+            const value = jsonObject[key];
+            const fieldPath = currentPath ? `${currentPath}.${key}` : key;
+            // Add this field path
+            fieldNames.add(fieldPath);
+            // Recursively process nested objects
+            if (typeof value === 'object' && value !== null) {
+                extractFieldNamesFromJson(value, {
+                    maxDepth,
+                    currentDepth: currentDepth + 1,
+                    currentPath: fieldPath,
+                    fieldNames
+                });
+            }
+        }
+    }
+    return Array.from(fieldNames);
+}
+/**
+ * Maps field names to standard field names based on common patterns
+ * @param fieldName The field name to map
+ * @returns The standard field name if a match is found, or null if no match
+ */
+export function mapToStandardField(fieldName) {
+    // Standard field mappings
+    const standardMappings = {
+        'title': ['title', 'name', 'headline', 'subject'],
+        'description': ['description', 'summary', 'content', 'text', 'body'],
+        'author': ['author', 'creator', 'user', 'owner', 'by'],
+        'date': ['date', 'created', 'createdAt', 'timestamp', 'published'],
+        'url': ['url', 'link', 'href', 'source'],
+        'image': ['image', 'thumbnail', 'photo', 'picture'],
+        'tags': ['tags', 'categories', 'keywords', 'topics']
+    };
+    // Check for matches
+    for (const [standardField, possibleMatches] of Object.entries(standardMappings)) {
+        // Exact match
+        if (possibleMatches.includes(fieldName)) {
+            return standardField;
+        }
+        // Path match (e.g., "user.name" matches "name")
+        const parts = fieldName.split('.');
+        const lastPart = parts[parts.length - 1];
+        if (possibleMatches.includes(lastPart)) {
+            return standardField;
+        }
+        // Array match (e.g., "items[0].name" matches "name")
+        if (fieldName.includes('[')) {
+            for (const part of parts) {
+                const cleanPart = part.split('[')[0];
+                if (possibleMatches.includes(cleanPart)) {
+                    return standardField;
+                }
+            }
+        }
+    }
+    return null;
+}
+//# sourceMappingURL=fieldNameTracking.js.map