Add Python web scraper for NJC travel rates with currency extraction

- Implemented Python scraper using BeautifulSoup and pandas to automatically collect travel rates from official NJC website
- Added currency extraction from table titles (supports EUR, USD, AUD, CAD, ARS, etc.)
- Added country extraction from table titles for international rates
- Flatten pandas MultiIndex columns for cleaner data structure
- Default to CAD for domestic Canadian sources (accommodations and domestic tables)
- Created SQLite database schema (raw_tables, rate_entries, exchange_rates, accommodations)
- Successfully scraped 92 tables with 17,205 rate entries covering 25 international cities
- Added migration script to convert scraped data to Node.js database format
- Updated .gitignore for Python files (.venv/, __pycache__, *.pyc, *.sqlite3)
- Fixed city validation and currency conversion in main app
- Added comprehensive debug and verification scripts

This replaces manual JSON maintenance with automated data collection from official government source.

scripts/testDatabase.js

@@ -0,0 +1,65 @@
+const sqlite3 = require('sqlite3').verbose();
+const path = require('path');
+
+const dbPath = path.join(__dirname, '..', 'database', 'travel_rates.db');
+
+console.log('🔍 Testing Database...\n');
+console.log(`📁 Database path: ${dbPath}\n`);
+
+const db = new sqlite3.Database(dbPath, (err) => {
+    if (err) {
+        console.error('❌ Failed to open database:', err);
+        process.exit(1);
+    }
+});
+
+// Test 1: Check if Canberra exists
+db.get('SELECT * FROM accommodation_rates WHERE city_key = ?', ['canberra'], (err, row) => {
+    if (err) {
+        console.error('❌ Query failed:', err);
+    } else if (row) {
+        console.log('✅ CANBERRA FOUND!');
+        console.log('   City:', row.city_name);
+        console.log('   Country:', row.country);
+        console.log('   Region:', row.region);
+        console.log('   Jan Rate:', `$${row.jan_rate} ${row.currency}`);
+        console.log('   Standard Rate:', `$${row.standard_rate} ${row.currency}`);
+        console.log('   International:', row.is_international ? 'Yes' : 'No');
+    } else {
+        console.log('❌ CANBERRA NOT FOUND IN DATABASE!');
+    }
+});
+
+// Test 2: Count total cities
+db.get('SELECT COUNT(*) as count FROM accommodation_rates', [], (err, row) => {
+    if (err) {
+        console.error('❌ Count query failed:', err);
+    } else {
+        console.log(`\n📊 Total cities in database: ${row.count}`);
+    }
+});
+
+// Test 3: List all Australian cities
+db.all('SELECT city_key, city_name, standard_rate FROM accommodation_rates WHERE country = ?', ['Australia'], (err, rows) => {
+    if (err) {
+        console.error('❌ Australia query failed:', err);
+    } else {
+        console.log('\n🇦🇺 Australian cities:');
+        if (rows.length === 0) {
+            console.log('   ❌ No Australian cities found!');
+        } else {
+            rows.forEach(row => {
+                console.log(`   - ${row.city_name}: $${row.standard_rate} USD`);
+            });
+        }
+    }
+    
+    // Close database
+    db.close((err) => {
+        if (err) {
+            console.error('Error closing database:', err);
+        } else {
+            console.log('\n✅ Test complete!');
+        }
+    });
+});