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.

extract_cities.js

@@ -0,0 +1,46 @@
+const fs = require("fs");
+
+// Read accommodation rates
+const accomData = JSON.parse(
+  fs.readFileSync("./data/accommodationRates.json", "utf8")
+);
+const cities = Object.keys(accomData.cities);
+
+// Separate Canadian and international
+const canadian = cities.filter((c) => accomData.cities[c].region === "Canada");
+const international = cities.filter(
+  (c) => accomData.cities[c].region !== "Canada"
+);
+
+console.log("=== ACCOMMODATION CITIES ===");
+console.log(`Total: ${cities.length}`);
+console.log(`Canadian: ${canadian.length}`);
+console.log(`International: ${international.length}\n`);
+
+console.log("=== INTERNATIONAL CITIES (for airport codes) ===");
+international.forEach((key) => {
+  const city = accomData.cities[key];
+  console.log(`${key}: ${city.name} (${city.country})`);
+});
+
+// Now get existing airport codes from flightService.js
+const flightService = fs.readFileSync("./flightService.js", "utf8");
+const airportCodeMatch = flightService.match(
+  /const airportCodes = \{([^}]+)\}/s
+);
+
+console.log("\n=== MISSING AIRPORT CODES ===");
+const missing = [];
+international.forEach((key) => {
+  const normalized = key.toLowerCase();
+  if (
+    !flightService.includes(`${normalized}:`) &&
+    !flightService.includes(`"${normalized}":`)
+  ) {
+    const city = accomData.cities[key];
+    missing.push(`${normalized} => ${city.name} (${city.country})`);
+  }
+});
+
+missing.forEach((m) => console.log(m));
+console.log(`\nTotal missing: ${missing.length}/${international.length}`);