Andrei
95070e5369
Features added: - Database schema for pages and media files with content types (Rich Text, HTML, Markdown) - Admin API routes for full page CRUD operations - Image upload functionality with file management - Rich text editor using TinyMCE with image insertion - Admin interface for creating/editing pages with SEO options - Dynamic navigation and footer integration - Public page display routes with proper SEO metadata - Support for featured images and content excerpts Admin features: - Create/edit/delete pages with rich content editor - Upload and manage images through media library - Configure pages to appear in navigation or footer - Set page status (Draft, Published, Archived) - SEO title and description management - Real-time preview of content changes 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
75 lines
2.8 KiB
TypeScript
75 lines
2.8 KiB
TypeScript
import 'dotenv/config'
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import { Pool } from 'pg'
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async function main() {
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const pool = new Pool({ connectionString: process.env.DATABASE_URL })
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const schema = (process.env.VECTOR_SCHEMA || 'ai_bible').replace(/[^a-zA-Z0-9_]/g, '')
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const source = `${schema}.bv_ro_fidela`
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const target = `${schema}.bv_ro_cornilescu`
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const client = await pool.connect()
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try {
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console.log('Cloning vector table from', source, 'to', target)
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await client.query('BEGIN')
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await client.query(`CREATE EXTENSION IF NOT EXISTS vector;`)
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await client.query(`CREATE SCHEMA IF NOT EXISTS "${schema}";`)
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// Create target table if not exists with same structure
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await client.query(`
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DO $$
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BEGIN
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IF NOT EXISTS (
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SELECT 1 FROM information_schema.tables
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WHERE table_schema = '${schema}' AND table_name = 'bv_ro_cornilescu') THEN
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EXECUTE format('CREATE TABLE %I.%I (LIKE %I.%I INCLUDING ALL)', '${schema}', 'bv_ro_cornilescu', '${schema}', 'bv_ro_fidela');
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END IF;
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END$$;`)
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// Insert rows if target empty
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const cnt = await client.query(`SELECT count(*)::int AS c FROM ${target}`)
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if ((cnt.rows?.[0]?.c ?? 0) === 0) {
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console.log('Copying rows...')
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await client.query(`
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INSERT INTO ${target} (testament, book, chapter, verse, text_raw, text_norm, tsv, embedding, created_at, updated_at)
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SELECT testament, book, chapter, verse, text_raw, text_norm, tsv, embedding, created_at, updated_at
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FROM ${source}
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ON CONFLICT DO NOTHING
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`)
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} else {
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console.log('Target already has rows, skipping copy')
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}
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// Create indexes if not exist
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await client.query(`
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CREATE UNIQUE INDEX IF NOT EXISTS ux_ref_bv_ro_cornilescu ON ${target} (book, chapter, verse);
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CREATE INDEX IF NOT EXISTS idx_tsv_bv_ro_cornilescu ON ${target} USING GIN (tsv);
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CREATE INDEX IF NOT EXISTS idx_book_ch_bv_ro_cornilescu ON ${target} (book, chapter);
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CREATE INDEX IF NOT EXISTS idx_testament_bv_ro_cornilescu ON ${target} (testament);
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`)
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await client.query('COMMIT')
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console.log('Rows copied and indexes created. Running post-copy maintenance...')
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// Run maintenance commands outside of transaction
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await client.query(`VACUUM ANALYZE ${target};`)
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try {
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await client.query(`
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CREATE INDEX IF NOT EXISTS idx_vec_ivfflat_bv_ro_cornilescu
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ON ${target} USING ivfflat (embedding vector_cosine_ops)
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WITH (lists = 100);
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`)
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} catch (e) {
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console.warn('IVFFLAT index creation hit memory limits; skipping for now. You can create it later with higher maintenance_work_mem.')
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}
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console.log('Clone completed.')
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} catch (e) {
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await client.query('ROLLBACK')
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console.error('Clone error:', e)
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process.exit(1)
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} finally {
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client.release()
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await pool.end()
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}
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}
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main()
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