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/analyze_sources.py

@@ -0,0 +1,39 @@
+import sqlite3
+
+conn = sqlite3.connect('data/travel_rates_scraped.sqlite3')
+cursor = conn.cursor()
+
+print("Tables by source:\n")
+cursor.execute("""
+    SELECT source, COUNT(*) as count
+    FROM raw_tables
+    GROUP BY source
+""")
+for row in cursor.fetchall():
+    print(f"  {row[0]}: {row[1]} tables")
+
+print("\nRate entries by source:\n")
+cursor.execute("""
+    SELECT source, COUNT(*) as count, 
+           SUM(CASE WHEN currency IS NULL THEN 1 ELSE 0 END) as null_count,
+           SUM(CASE WHEN currency IS NOT NULL THEN 1 ELSE 0 END) as has_currency_count
+    FROM rate_entries
+    GROUP BY source
+""")
+for row in cursor.fetchall():
+    print(f"  {row[0]}: {row[1]} total | {row[2]} NULL | {row[3]} with currency")
+
+print("\nSample titles by source:\n")
+for source in ['international', 'domestic', 'accommodations']:
+    cursor.execute(f"""
+        SELECT title
+        FROM raw_tables
+        WHERE source = '{source}'
+        LIMIT 3
+    """)
+    print(f"\n{source}:")
+    for row in cursor.fetchall():
+        title = row[0] if row[0] else "NO TITLE"
+        print(f"    {title[:80]}")
+
+conn.close()