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.

Dockerfile

@@ -0,0 +1,28 @@
+# Use Node.js LTS version (slim Debian-based image for better compatibility)
+FROM node:18-slim
+
+# Install SQLite
+RUN apt-get update && apt-get install -y \
+    sqlite3 \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Copy package files
+COPY package*.json ./
+
+# Install dependencies
+RUN npm install --production
+
+# Copy application files
+COPY . .
+
+# Run complete database migration on container start
+RUN mkdir -p database && \
+    node scripts/migrateCompleteTravelRates.js || echo "Migration will run on first request"
+
+# Expose port 5001
+EXPOSE 5001
+
+# Start the server
+CMD ["node", "server.js"]