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/test_scraper.py

@@ -0,0 +1,33 @@
+"""Test the scraper extract_rate_entries function with debug output"""
+import sys
+sys.path.insert(0, 'src')
+
+from gov_travel.scrapers import SourceConfig, scrape_tables_from_source, extract_rate_entries
+
+# Create a test source config
+source = SourceConfig(name="international", url="https://www.njc-cnm.gc.ca/directive/app_d.php?lang=en")
+
+# Get just the first few tables
+print("Fetching tables...")
+tables = scrape_tables_from_source(source)
+print(f"Got {len(tables)} tables")
+
+# Check first table
+first_table = tables[0]
+print(f"\nFirst table:")
+print(f"  Index: {first_table['table_index']}")
+print(f"  Title: {first_table['title']}")
+print(f"  Data rows: {len(first_table['data'])}")
+
+# Extract rate entries from just first table
+print("\nExtracting rate entries from first table...")
+entries = extract_rate_entries(source, [first_table])
+print(f"Got {len(entries)} entries")
+
+if entries:
+    print(f"\nFirst entry:")
+    print(f"  Country: {entries[0]['country']}")
+    print(f"  City: {entries[0]['city']}")
+    print(f"  Currency: {entries[0]['currency']}")
+    print(f"  Rate Type: {entries[0]['rate_type']}")
+    print(f"  Rate Amount: {entries[0]['rate_amount']}")