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.

jest.config.js

@@ -0,0 +1,16 @@
+module.exports = {
+  testEnvironment: 'node',
+  coverageDirectory: 'coverage',
+  collectCoverageFrom: [
+    'server.js',
+    'flightService.js',
+    'services/**/*.js',
+    'utils/**/*.js',
+    '!**/node_modules/**',
+    '!**/tests/**'
+  ],
+  testMatch: [
+    '**/tests/**/*.test.js'
+  ],
+  verbose: true
+};