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/debug_argentina.py

@@ -0,0 +1,37 @@
+"""Debug the scraper to see what currencies are being assigned"""
+import sys
+sys.path.insert(0, 'src')
+
+from gov_travel.scrapers import SourceConfig, scrape_tables_from_source, extract_rate_entries
+
+# Test international source with Argentina
+source = SourceConfig(name="international", url="https://www.njc-cnm.gc.ca/directive/app_d.php?lang=en")
+
+print("Fetching tables...")
+tables = scrape_tables_from_source(source)
+
+# Find Argentina table
+argentina_table = None
+for table in tables:
+    if table['title'] and 'Argentina' in table['title']:
+        argentina_table = table
+        break
+
+if argentina_table:
+    print(f"\nArgentina Table:")
+    print(f"  Title: {argentina_table['title']}")
+    print(f"  Rows: {len(argentina_table['data'])}")
+    
+    # Extract entries
+    entries = extract_rate_entries(source, [argentina_table])
+    print(f"\n  Generated {len(entries)} entries")
+    
+    if entries:
+        # Show first few entries
+        print(f"\n  First 3 entries:")
+        for i, entry in enumerate(entries[:3]):
+            print(f"    {i+1}. City: {entry['city']}, Type: {entry['rate_type']}, Amount: {entry['rate_amount']}, Currency: {entry['currency']}")
+        
+        # Check unique currencies
+        currencies = set(e['currency'] for e in entries)
+        print(f"\n  Unique currencies in Argentina entries: {currencies}")