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/testCanberraAPI.js

@@ -0,0 +1,59 @@
+const http = require('http');
+
+async function testAPI() {
+    console.log('\n🧪 Testing Canberra Search API...\n');
+
+    const options = {
+        hostname: 'localhost',
+        port: 5001,
+        path: '/api/accommodation/search?city=canberra',
+        method: 'GET'
+    };
+
+    return new Promise((resolve, reject) => {
+        const req = http.request(options, (res) => {
+            let data = '';
+
+            res.on('data', (chunk) => {
+                data += chunk;
+            });
+
+            res.on('end', () => {
+                try {
+                    const json = JSON.parse(data);
+                    
+                    if (json.city) {
+                        console.log('✅ SUCCESS! Canberra Found:\n');
+                        console.log(`   City: ${json.city}`);
+                        console.log(`   Country: ${json.country}`);
+                        console.log(`   Region: ${json.region}`);
+                        console.log(`   Currency: ${json.currency}`);
+                        console.log(`   Standard Rate: $${json.rates.standard || json.rates[0]} ${json.currency}`);
+                        console.log(`   January Rate: $${json.rates[0]} ${json.currency}`);
+                        console.log('\n🎉 CANBERRA IS 100% SEARCHABLE!\n');
+                    } else if (json.error) {
+                        console.log(`❌ API Error: ${json.error}`);
+                    } else {
+                        console.log('❓ Unexpected response:', json);
+                    }
+                    
+                    resolve();
+                } catch (err) {
+                    console.error('❌ Failed to parse response:', err.message);
+                    console.log('Raw response:', data);
+                    reject(err);
+                }
+            });
+        });
+
+        req.on('error', (err) => {
+            console.error(`❌ Connection failed: ${err.message}`);
+            console.error('Make sure the server is running: node server.js');
+            reject(err);
+        });
+
+        req.end();
+    });
+}
+
+testAPI();