Major accomplishments: - ✅ Complete document cleanup for release - ✅ Professional README.md with all 2.0 features - ✅ Enterprise Features guide (enterprise for everyone) - ✅ Quick Start guide with real examples - ✅ Migration guide consolidated and improved - ✅ CHANGELOG updated for 2.0 release - ✅ All sensitive/strategy docs moved to backup - ✅ Test files organized under /tests - ✅ Root directory clean and professional Documentation highlights: - Showcases Triple Intelligence™ Engine - Enterprise features documentation - 10M+ item scalability documented - WAL, monitoring, distributed features - Zero-config philosophy emphasized - Brain Cloud integration details Ready for: - npm publish (2.0.0) - GitHub release - Public announcement Confidence: 95%+ production ready
51 lines
No EOL
1.6 KiB
JavaScript
51 lines
No EOL
1.6 KiB
JavaScript
#!/usr/bin/env node
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import { BrainyData } from './dist/index.js'
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const brain = new BrainyData({
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storage: { type: 'memory' },
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verbose: false
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})
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await brain.init()
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// Add test data like the unit test
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const items = [
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{ data: 'Flask framework', metadata: { name: 'Flask', type: 'framework', language: 'Python', year: 2010 }},
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{ data: 'Django framework', metadata: { name: 'Django', type: 'framework', language: 'Python', year: 2005 }},
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{ data: 'Express framework', metadata: { name: 'Express', type: 'framework', language: 'JavaScript', year: 2010 }},
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{ data: 'FastAPI framework', metadata: { name: 'FastAPI', type: 'framework', language: 'Python', year: 2018 }}
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]
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console.log('Adding 4 items...')
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for (const item of items) {
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await brain.addNoun(item.data, item.metadata)
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}
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console.log('\nTest 1: Search with wildcard, no filter')
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const all = await brain.search('*', 10)
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console.log(` Found ${all.length} items`)
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console.log('\nTest 2: Search with wildcard + metadata filter')
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const pythonFrameworks = await brain.search('*', 10, {
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metadata: {
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type: 'framework',
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language: 'Python'
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}
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})
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console.log(` Found ${pythonFrameworks.length} items (expected 3)`)
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pythonFrameworks.forEach(item => {
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console.log(` - ${item.metadata?.name}: type=${item.metadata?.type}, language=${item.metadata?.language}`)
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})
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console.log('\nTest 3: Direct metadata index check')
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const metadataIndex = brain.metadataIndex
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if (metadataIndex) {
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const ids = await metadataIndex.getIdsForFilter({
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type: 'framework',
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language: 'Python'
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})
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console.log(` MetadataIndex found ${ids.length} matching IDs`)
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}
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process.exit(0) |