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https://github.com/R0m1k3/noteflow.git
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Added tools to resolve the 500 error when notes don't display due to boolean type mismatches between SQLite (0/1) and PostgreSQL (TRUE/FALSE). New files: - scripts/fix-boolean-data.js: Converts INTEGER columns to BOOLEAN type and migrates existing 0/1 data to FALSE/TRUE - scripts/README-FIXES.md: Instructions for running the fix script Improved: - scripts/migrate-sqlite-to-postgres.js: Now automatically converts 0/1 to FALSE/TRUE for known boolean columns during migration This resolves issues where: - Migrated data contains INTEGER values (0/1) instead of BOOLEAN - SQL queries using "completed = TRUE" fail to match rows - API endpoints return 500 errors To fix an existing database, run: node scripts/fix-boolean-data.js
93 lines
3.1 KiB
JavaScript
Executable File
93 lines
3.1 KiB
JavaScript
Executable File
#!/usr/bin/env node
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// Script de correction des données booléennes dans PostgreSQL
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// Convertit les valeurs 0/1 (INTEGER) en FALSE/TRUE (BOOLEAN)
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require('dotenv').config();
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const { Pool } = require('pg');
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const DATABASE_URL = process.env.DATABASE_URL ||
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`postgresql://noteflow:noteflow_secure_password_change_me@localhost:5499/noteflow`;
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console.log('\n========== CORRECTION DES DONNÉES BOOLÉENNES ==========\n');
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const pool = new Pool({
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connectionString: DATABASE_URL,
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});
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async function fixBooleanColumns() {
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const client = await pool.connect();
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try {
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console.log('✓ Connexion PostgreSQL établie\n');
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// Liste des tables et colonnes avec type BOOLEAN
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const booleanColumns = [
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{ table: 'users', columns: ['is_admin'] },
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{ table: 'notes', columns: ['archived'] },
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{ table: 'note_todos', columns: ['completed', 'priority'] },
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{ table: 'global_todos', columns: ['completed', 'priority'] },
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{ table: 'rss_feeds', columns: ['enabled'] },
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{ table: 'calendar_events', columns: ['all_day'] }
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];
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for (const { table, columns } of booleanColumns) {
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console.log(`📋 Table: ${table}`);
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for (const column of columns) {
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try {
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// Vérifier le type actuel de la colonne
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const typeCheck = await client.query(`
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SELECT data_type
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FROM information_schema.columns
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WHERE table_name = $1 AND column_name = $2
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`, [table, column]);
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if (typeCheck.rows.length === 0) {
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console.log(` ⏭️ Colonne ${column} n'existe pas, skip`);
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continue;
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}
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const dataType = typeCheck.rows[0].data_type;
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console.log(` 📊 ${column}: type actuel = ${dataType}`);
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if (dataType === 'boolean') {
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// Si la colonne est déjà BOOLEAN, vérifier s'il y a des valeurs INTEGER incorrectes
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// En réalité, PostgreSQL convertit automatiquement lors de l'insertion
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// Mais on peut forcer la conversion pour être sûr
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console.log(` ✓ ${column} est déjà BOOLEAN`);
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} else if (dataType === 'integer') {
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// Si la colonne est INTEGER, la convertir en BOOLEAN
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console.log(` 🔧 Conversion ${column}: INTEGER → BOOLEAN`);
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await client.query(`
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ALTER TABLE ${table}
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ALTER COLUMN ${column} TYPE BOOLEAN
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USING CASE
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WHEN ${column} = 0 THEN FALSE
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WHEN ${column} = 1 THEN TRUE
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ELSE ${column}::BOOLEAN
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END
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`);
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console.log(` ✅ ${column} converti en BOOLEAN`);
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}
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} catch (err) {
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console.error(` ❌ Erreur sur ${column}:`, err.message);
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}
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}
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console.log('');
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}
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console.log('✅ Correction terminée!\n');
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} catch (error) {
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console.error('❌ Erreur:', error);
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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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fixBooleanColumns();
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