brainy/.recovery-workspace/dist-backup-20250910-141917/augmentations/display/fieldPatterns.js

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/**
* Universal Display Augmentation - Smart Field Patterns
*
* Intelligent field detection patterns for mapping user data to display fields
* Uses semantic understanding and common naming conventions
*/
import { NounType } from '../../types/graphTypes.js';
/**
* Universal field patterns that work across all data types
* Ordered by confidence level (highest first)
*/
export const UNIVERSAL_FIELD_PATTERNS = [
// Title/Name Patterns (Highest Priority)
{
fields: ['name', 'title', 'displayName', 'label', 'heading'],
displayField: 'title',
confidence: 0.95
},
{
fields: ['firstName', 'lastName', 'fullName', 'realName'],
displayField: 'title',
confidence: 0.9,
applicableTypes: [NounType.Person, NounType.User],
transform: (value, context) => {
const { metadata } = context;
if (metadata.firstName && metadata.lastName) {
return `${metadata.firstName} ${metadata.lastName}`.trim();
}
return String(value || '');
}
},
{
fields: ['companyName', 'organizationName', 'orgName', 'businessName'],
displayField: 'title',
confidence: 0.9,
applicableTypes: [NounType.Organization]
},
{
fields: ['filename', 'fileName', 'documentTitle', 'docName'],
displayField: 'title',
confidence: 0.85,
applicableTypes: [NounType.Document, NounType.File, NounType.Media]
},
{
fields: ['projectName', 'projectTitle', 'initiative'],
displayField: 'title',
confidence: 0.9,
applicableTypes: [NounType.Project]
},
{
fields: ['taskName', 'taskTitle', 'action', 'todo'],
displayField: 'title',
confidence: 0.85,
applicableTypes: [NounType.Task]
},
{
fields: ['subject', 'topic', 'headline', 'caption'],
displayField: 'title',
confidence: 0.8
},
// Description Patterns (High Priority)
{
fields: ['description', 'summary', 'overview', 'details'],
displayField: 'description',
confidence: 0.9
},
{
fields: ['bio', 'biography', 'profile', 'about'],
displayField: 'description',
confidence: 0.85,
applicableTypes: [NounType.Person, NounType.User]
},
{
fields: ['content', 'text', 'body', 'message'],
displayField: 'description',
confidence: 0.8
},
{
fields: ['abstract', 'excerpt', 'snippet', 'preview'],
displayField: 'description',
confidence: 0.75
},
{
fields: ['notes', 'comments', 'remarks', 'observations'],
displayField: 'description',
confidence: 0.7
},
// Type Patterns (Medium Priority)
{
fields: ['type', 'category', 'classification', 'kind'],
displayField: 'type',
confidence: 0.9
},
{
fields: ['nounType', 'entityType', 'objectType'],
displayField: 'type',
confidence: 0.95
},
{
fields: ['role', 'position', 'jobTitle', 'occupation'],
displayField: 'type',
confidence: 0.8,
applicableTypes: [NounType.Person, NounType.User],
transform: (value) => String(value || 'Person')
},
{
fields: ['industry', 'sector', 'domain', 'field'],
displayField: 'type',
confidence: 0.7,
applicableTypes: [NounType.Organization]
},
// Tag Patterns (Medium Priority)
{
fields: ['tags', 'keywords', 'labels', 'categories'],
displayField: 'tags',
confidence: 0.85
},
{
fields: ['topics', 'subjects', 'themes'],
displayField: 'tags',
confidence: 0.8
}
];
/**
* Type-specific field patterns for enhanced detection
* Used when we know the specific type of the entity
*/
export const TYPE_SPECIFIC_PATTERNS = {
[NounType.Person]: [
{
fields: ['email', 'emailAddress', 'contactEmail'],
displayField: 'description',
confidence: 0.7,
transform: (value, context) => {
const { metadata } = context;
const role = metadata.role || metadata.jobTitle || metadata.position;
const company = metadata.company || metadata.organization || metadata.employer;
const parts = [];
if (role)
parts.push(role);
if (company)
parts.push(`at ${company}`);
if (parts.length === 0 && value)
parts.push(`Contact: ${value}`);
return parts.join(' ') || 'Person';
}
},
{
fields: ['phone', 'phoneNumber', 'mobile', 'cell'],
displayField: 'tags',
confidence: 0.6
}
],
[NounType.Organization]: [
{
fields: ['website', 'url', 'homepage', 'domain'],
displayField: 'description',
confidence: 0.7,
transform: (value, context) => {
const { metadata } = context;
const industry = metadata.industry || metadata.sector;
const location = metadata.location || metadata.city || metadata.country;
const parts = [];
if (industry)
parts.push(industry);
parts.push('organization');
if (location)
parts.push(`in ${location}`);
return parts.join(' ');
}
},
{
fields: ['employees', 'size', 'headcount'],
displayField: 'tags',
confidence: 0.6
}
],
[NounType.Project]: [
{
fields: ['status', 'phase', 'stage', 'state'],
displayField: 'description',
confidence: 0.8,
transform: (value, context) => {
const { metadata } = context;
const status = String(value || 'active').toLowerCase();
const budget = metadata.budget || metadata.cost;
const lead = metadata.lead || metadata.manager || metadata.owner;
const parts = [];
parts.push(status.charAt(0).toUpperCase() + status.slice(1));
if (metadata.description)
parts.push('project');
if (lead)
parts.push(`led by ${lead}`);
if (budget)
parts.push(`($${parseInt(String(budget)).toLocaleString()} budget)`);
return parts.join(' ');
}
}
],
[NounType.Document]: [
{
fields: ['author', 'creator', 'writer'],
displayField: 'description',
confidence: 0.7,
transform: (value, context) => {
const { metadata } = context;
const docType = metadata.type || metadata.category || 'document';
const date = metadata.date || metadata.created || metadata.published;
const parts = [];
if (docType)
parts.push(docType);
if (value)
parts.push(`by ${value}`);
if (date) {
const dateStr = new Date(date).toLocaleDateString();
parts.push(`(${dateStr})`);
}
return parts.join(' ');
}
}
],
[NounType.Task]: [
{
fields: ['priority', 'urgency', 'importance'],
displayField: 'tags',
confidence: 0.7
}
]
};
/**
* Get field patterns for a specific entity type
* @param entityType The type of entity (noun or verb)
* @param specificType Optional specific noun/verb type
* @returns Array of applicable field patterns
*/
export function getFieldPatterns(entityType, specificType) {
const patterns = [...UNIVERSAL_FIELD_PATTERNS];
if (entityType === 'noun' && specificType && TYPE_SPECIFIC_PATTERNS[specificType]) {
patterns.unshift(...TYPE_SPECIFIC_PATTERNS[specificType]);
}
return patterns.sort((a, b) => b.confidence - a.confidence);
}
/**
* Priority fields for different entity types (for AI analysis)
* Used by the BrainyTypes and neural processing
*/
export const TYPE_PRIORITY_FIELDS = {
[NounType.Person]: [
'name', 'firstName', 'lastName', 'fullName', 'displayName',
'email', 'role', 'jobTitle', 'position', 'title',
'bio', 'description', 'about', 'profile',
'company', 'organization', 'employer'
],
[NounType.Organization]: [
'name', 'companyName', 'organizationName', 'title',
'industry', 'sector', 'domain', 'type',
'description', 'about', 'summary',
'location', 'city', 'country', 'headquarters',
'website', 'url'
],
[NounType.Project]: [
'name', 'projectName', 'title', 'projectTitle',
'description', 'summary', 'overview', 'goal',
'status', 'phase', 'stage', 'state',
'lead', 'manager', 'owner', 'team',
'budget', 'timeline', 'deadline'
],
[NounType.Document]: [
'title', 'filename', 'name', 'subject',
'content', 'text', 'body', 'summary',
'author', 'creator', 'writer',
'type', 'category', 'format',
'date', 'created', 'published'
],
[NounType.Task]: [
'title', 'name', 'taskName', 'action',
'description', 'details', 'notes',
'status', 'state', 'priority',
'assignee', 'owner', 'responsible',
'due', 'deadline', 'dueDate'
],
[NounType.Event]: [
'name', 'title', 'eventName',
'description', 'details', 'summary',
'startDate', 'endDate', 'date', 'time',
'location', 'venue', 'address',
'organizer', 'host', 'creator'
],
[NounType.Product]: [
'name', 'productName', 'title',
'description', 'summary', 'features',
'price', 'cost', 'value',
'category', 'type', 'brand',
'manufacturer', 'vendor'
]
};
/**
* Get priority fields for intelligent analysis
* @param entityType The type of entity
* @param specificType Optional specific type
* @returns Array of priority field names
*/
export function getPriorityFields(entityType, specificType) {
if (entityType === 'noun' && specificType && TYPE_PRIORITY_FIELDS[specificType]) {
return TYPE_PRIORITY_FIELDS[specificType];
}
// Default priority fields for any entity
return [
'name', 'title', 'label', 'displayName',
'description', 'summary', 'about', 'details',
'type', 'category', 'kind', 'classification',
'tags', 'keywords', 'labels'
];
}
/**
* Smart field value extraction with type-aware processing
* @param data The data object to extract from
* @param pattern The field pattern to apply
* @param context The computation context
* @returns The extracted and processed field value
*/
export function extractFieldValue(data, pattern, context) {
// Find the first matching field
let value = null;
let matchedField = null;
for (const field of pattern.fields) {
if (data[field] !== undefined && data[field] !== null && data[field] !== '') {
value = data[field];
matchedField = field;
break;
}
}
if (value === null)
return null;
// Apply transformation if provided
if (pattern.transform) {
try {
return pattern.transform(value, context);
}
catch (error) {
console.warn(`Field transformation error for ${matchedField}:`, error);
return String(value);
}
}
// Default processing based on display field type
switch (pattern.displayField) {
case 'title':
case 'description':
case 'type':
return String(value);
case 'tags':
if (Array.isArray(value))
return value;
if (typeof value === 'string') {
return value.split(/[,;]\s*|\s+/).filter(Boolean);
}
return [String(value)];
default:
return value;
}
}
/**
* Calculate confidence score for field detection
* @param pattern The field pattern
* @param context The computation context
* @param value The extracted value
* @returns Confidence score (0-1)
*/
export function calculateFieldConfidence(pattern, context, value) {
let confidence = pattern.confidence;
// Boost confidence if type matches
if (pattern.applicableTypes && context.typeResult) {
if (pattern.applicableTypes.includes(context.typeResult.type)) {
confidence = Math.min(1.0, confidence + 0.1);
}
}
// Reduce confidence for empty or very short values
if (typeof value === 'string') {
if (value.length < 2) {
confidence *= 0.5;
}
else if (value.length < 5) {
confidence *= 0.8;
}
}
// Reduce confidence for generic values
const genericValues = ['unknown', 'n/a', 'null', 'undefined', 'default'];
if (typeof value === 'string' && genericValues.includes(value.toLowerCase())) {
confidence *= 0.3;
}
return Math.max(0, Math.min(1, confidence));
}
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