- Fix soft delete functionality by filtering out deleted items in search results - Add support for encrypted configuration storage and retrieval - Copy test suite and vitest config to ensure all functionality works - Maintain all core brainy functionality during repository cleanup
120 lines
3.9 KiB
JavaScript
120 lines
3.9 KiB
JavaScript
/**
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* Test script to demonstrate improved JSON document search capabilities
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*
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* This script tests the new functionality for searching within JSON documents,
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* particularly focusing on company names in nested fields.
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*/
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/* eslint-disable no-console */
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import { BrainyData } from '../src/brainyData.js'
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async function runTest() {
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console.log('Starting JSON document search test...')
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// Initialize BrainyData
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const brainy = new BrainyData()
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await brainy.init()
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console.log('Adding test documents...')
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// Add some test documents with company names in different fields
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const doc1Id = await brainy.add({
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title: 'Employee Profile',
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person: {
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name: 'John Smith',
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company: 'Acme Corporation',
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position: 'Software Engineer'
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},
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skills: ['JavaScript', 'TypeScript', 'React']
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})
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const doc2Id = await brainy.add({
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title: 'Project Proposal',
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client: {
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name: 'TechSolutions Inc.',
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industry: 'Software Development'
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},
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description: 'A project to develop a new CRM system'
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})
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const doc3Id = await brainy.add({
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title: 'Partnership Agreement',
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parties: [
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{
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name: 'Global Innovations Ltd',
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type: 'Service Provider'
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},
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{
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name: 'DataCorp',
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type: 'Client'
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}
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],
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details: 'Agreement for providing data processing services'
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})
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console.log('Documents added with IDs:', doc1Id, doc2Id, doc3Id)
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// Test 1: Standard search (before our improvements, this might not work well)
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console.log('\nTest 1: Standard search for "Acme Corporation"')
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const results1 = await brainy.search('Acme Corporation', 5)
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console.log(`Found ${results1.length} results:`)
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results1.forEach((result, i) => {
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console.log(`Result ${i+1}: ID=${result.id}, Score=${result.score}`)
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})
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// Test 2: Search with our new JSON processing (should work better)
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console.log('\nTest 2: Search with JSON object and priority fields')
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const results2 = await brainy.search({ company: 'Acme Corporation' }, 5, {
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priorityFields: ['company', 'name']
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})
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console.log(`Found ${results2.length} results:`)
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results2.forEach((result, i) => {
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console.log(`Result ${i+1}: ID=${result.id}, Score=${result.score}`)
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})
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// Test 3: Field-specific search
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console.log('\nTest 3: Field-specific search for "person.company=Acme Corporation"')
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const results3 = await brainy.search({ searchTerm: 'Acme Corporation' }, 5, {
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searchField: 'person.company'
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})
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console.log(`Found ${results3.length} results:`)
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results3.forEach((result, i) => {
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console.log(`Result ${i+1}: ID=${result.id}, Score=${result.score}`)
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})
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// Test 4: Search for TechSolutions Inc.
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console.log('\nTest 4: Search for "TechSolutions Inc."')
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const results4 = await brainy.search('TechSolutions Inc.', 5)
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console.log(`Found ${results4.length} results:`)
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results4.forEach((result, i) => {
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console.log(`Result ${i+1}: ID=${result.id}, Score=${result.score}`)
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})
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// Test 5: Field-specific search for TechSolutions
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console.log('\nTest 5: Field-specific search for "client.name=TechSolutions Inc."')
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const results5 = await brainy.search({ searchTerm: 'TechSolutions Inc.' }, 5, {
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searchField: 'client.name'
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})
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console.log(`Found ${results5.length} results:`)
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results5.forEach((result, i) => {
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console.log(`Result ${i+1}: ID=${result.id}, Score=${result.score}`)
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})
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// Test 6: Search for DataCorp in nested array
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console.log('\nTest 6: Search for "DataCorp" in nested array')
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const results6 = await brainy.search('DataCorp', 5)
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console.log(`Found ${results6.length} results:`)
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results6.forEach((result, i) => {
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console.log(`Result ${i+1}: ID=${result.id}, Score=${result.score}`)
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})
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// Clean up
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await brainy.clear()
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console.log('\nTest completed and database cleared.')
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}
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// Run the test
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runTest().catch(error => {
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console.error('Test failed:', error)
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})
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