“BeeRad”
733d1c3407
Local-first knowledge management system with BYO API keys. Features: - 3-panel UI (Nodes | Focus | Helpers) - SQLite + sqlite-vec for vector search - Agent system (Easy/Hard mode orchestrators) - Content extraction (YouTube, PDF, web) - Integrate workflow for connection discovery - Dimension system with auto-assignment Tech stack: - Next.js 15 + TypeScript + Tailwind CSS - Anthropic (Claude) + OpenAI (GPT) via Vercel AI SDK Setup: npm install && npm rebuild better-sqlite3 scripts/dev/bootstrap-local.sh npm run dev MIT License
96 lines
3.1 KiB
JavaScript
Executable File
96 lines
3.1 KiB
JavaScript
Executable File
#!/usr/bin/env node
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/**
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* Test script for memory UPDATE operation
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*
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* This script:
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* 1. Shows current memory facts
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* 2. Triggers the memory pipeline manually
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* 3. Shows updated facts after processing
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*/
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const Database = require('better-sqlite3');
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const path = require('path');
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const os = require('os');
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const dbPath = path.join(os.homedir(), 'Library/Application Support/RA-H/db/rah.sqlite');
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const db = new Database(dbPath);
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console.log('=== MEMORY UPDATE OPERATION TEST ===\n');
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// 1. Show current facts
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console.log('📊 CURRENT MEMORY FACTS:\n');
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const currentFacts = db.prepare(`
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SELECT
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id,
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entity_id,
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content,
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json_extract(metadata, '$.reinforcement_count') as count,
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json_extract(metadata, '$.reinforcement_score') as score,
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json_extract(metadata, '$.entities') as entities
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FROM memory
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WHERE type='big_memory' AND entity_id LIKE 'fact:%' AND is_current=1
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ORDER BY json_extract(metadata, '$.reinforcement_score') DESC
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`).all();
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currentFacts.forEach((fact, i) => {
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console.log(`${i + 1}. [Score: ${fact.score}, Count: ${fact.count}]`);
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console.log(` "${fact.content}"`);
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if (fact.entities) {
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try {
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const entities = JSON.parse(fact.entities);
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if (entities && entities.length > 0) {
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console.log(` Entities: ${entities.join(', ')}`);
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}
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} catch {}
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}
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console.log();
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});
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// 2. Check pipeline state
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console.log('\n📈 PIPELINE STATE:\n');
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const pipelineState = db.prepare(`
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SELECT last_processed_log_id, last_run_at
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FROM memory_pipeline_state
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WHERE id=1
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`).get();
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const maxLogId = db.prepare('SELECT MAX(id) as max FROM logs').get();
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console.log(`Last processed log: ${pipelineState?.last_processed_log_id || 0}`);
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console.log(`Max log ID: ${maxLogId?.max || 0}`);
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console.log(`Logs pending: ${(maxLogId?.max || 0) - (pipelineState?.last_processed_log_id || 0)}`);
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console.log(`Last run: ${pipelineState?.last_run_at || 'never'}\n`);
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// 3. Show recent logs that mention key entities
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console.log('\n📝 RECENT LOGS (mentioning ra-h, Paige, knowledge management):\n');
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const recentLogs = db.prepare(`
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SELECT id, ts, table_name, summary, chat_user_full
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FROM logs_v
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WHERE
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(chat_user_full LIKE '%ra-h%' OR
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chat_user_full LIKE '%Paige%' OR
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chat_user_full LIKE '%knowledge management%' OR
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chat_user_full LIKE '%dogfood%' OR
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chat_user_full LIKE '%beta%' OR
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summary LIKE '%ra-h%' OR
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summary LIKE '%Paige%')
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ORDER BY id DESC
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LIMIT 15
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`).all();
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recentLogs.forEach(log => {
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const preview = log.chat_user_full
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? log.chat_user_full.substring(0, 100)
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: log.summary.substring(0, 100);
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console.log(`Log ${log.id} [${log.ts}]: ${preview}${preview.length >= 100 ? '...' : ''}`);
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});
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console.log('\n✅ To trigger pipeline manually:');
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console.log(' 1. Start dev server: npm run dev');
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console.log(' 2. Create 10+ new logs (chat, create nodes, etc.)');
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console.log(' 3. Pipeline will auto-run and show UPDATE operations in console (if MEMORY_DEBUG=1)');
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console.log('\n Or run this script again after interacting with the app to see updated facts.\n');
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db.close();
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