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.

.gitignore

@@ -0,0 +1,36 @@
+# Node modules
+node_modules/
+package-lock.json
+
+# Environment variables
+.env
+
+# Logs
+logs/
+*.log
+npm-debug.log*
+
+# OS files
+.DS_Store
+Thumbs.db
+
+# Editor files
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# Temporary files
+*.tmp
+*.temp
+
+# Python
+.venv/
+__pycache__/
+*.pyc
+*.pyo
+*.egg-info/
+dist/
+build/
+.pytest_cache/
+*.sqlite3