cim_summary/backend/check-columns.js

#!/usr/bin/env node

const { createClient } = require('@supabase/supabase-js');
require('dotenv').config();

const supabaseUrl = process.env.SUPABASE_URL;
const supabaseServiceKey = process.env.SUPABASE_SERVICE_KEY;

const supabase = createClient(supabaseUrl, supabaseServiceKey);

async function checkColumns() {
    console.log('🔍 Checking actual column names...\n');
    
    try {
        // Check documents table
        console.log('📋 Documents table columns:');
        const { data: docData, error: docError } = await supabase
            .from('documents')
            .select('*')
            .limit(0);
        
        if (docError) {
            console.log('❌ Error accessing documents table:', docError.message);
        } else {
            console.log('✅ Documents table accessible');
        }
        
        // Check users table
        console.log('\n📋 Users table columns:');
        const { data: userData, error: userError } = await supabase
            .from('users')
            .select('*')
            .limit(0);
        
        if (userError) {
            console.log('❌ Error accessing users table:', userError.message);
        } else {
            console.log('✅ Users table accessible');
        }
        
        // Check processing_jobs table
        console.log('\n📋 Processing_jobs table columns:');
        const { data: jobData, error: jobError } = await supabase
            .from('processing_jobs')
            .select('*')
            .limit(0);
        
        if (jobError) {
            console.log('❌ Error accessing processing_jobs table:', jobError.message);
        } else {
            console.log('✅ Processing_jobs table accessible');
        }
        
        // Try to get column information using SQL
        console.log('\n🔍 Getting column details via SQL...');
        const { data: columns, error: sqlError } = await supabase.rpc('exec_sql', {
            sql: `
                SELECT 
                    table_name,
                    column_name,
                    data_type
                FROM information_schema.columns 
                WHERE table_name IN ('documents', 'users', 'processing_jobs')
                ORDER BY table_name, ordinal_position;
            `
        });
        
        if (sqlError) {
            console.log('❌ SQL error:', sqlError.message);
        } else {
            console.log('📋 Column details:');
            columns.forEach(col => {
                console.log(`  ${col.table_name}.${col.column_name} (${col.data_type})`);
            });
        }
        
    } catch (error) {
        console.log('❌ Error:', error.message);
    }
}

checkColumns();