mirror of
https://github.com/mblanke/Gov_Travel_App.git
synced 2026-03-01 14:10:22 -05:00
- 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.
119 lines
4.3 KiB
JavaScript
119 lines
4.3 KiB
JavaScript
const sqlite3 = require('sqlite3').verbose();
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const path = require('path');
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const dbPath = path.join(__dirname, '..', 'database', 'travel_rates.db');
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const db = new sqlite3.Database(dbPath, (err) => {
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if (err) {
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console.error('❌ Database connection failed:', err);
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process.exit(1);
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}
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});
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console.log('\n🧪 Testing Complete Travel Rates Database\n');
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console.log('='.repeat(70));
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// Test 1: Check Canberra complete data
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console.log('\n1️⃣ Testing Canberra (Australia):\n');
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const canberraQuery = `
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SELECT
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city_name, country, region, currency,
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standard_accommodation,
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breakfast, lunch, dinner, total_meals,
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incidentals, total_daily_allowance
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FROM travel_rates
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WHERE city_key = 'canberra'
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`;
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db.get(canberraQuery, [], (err, row) => {
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if (err) {
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console.error('❌ Query failed:', err);
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db.close();
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process.exit(1);
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}
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if (!row) {
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console.log('❌ CANBERRA NOT FOUND!\n');
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} else {
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console.log(`✅ ${row.city_name}, ${row.country}`);
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console.log(` Region: ${row.region}`);
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console.log(` Currency: ${row.currency}\n`);
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console.log(` 🏨 Accommodation: $${row.standard_accommodation}/night`);
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console.log(` 🍳 Breakfast: $${row.breakfast}`);
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console.log(` 🍱 Lunch: $${row.lunch}`);
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console.log(` 🍽️ Dinner: $${row.dinner}`);
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console.log(` 📝 Total Meals: $${row.total_meals}`);
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console.log(` 💼 Incidentals: $${row.incidentals}`);
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console.log(` 💰 Total Daily Allowance: $${row.total_daily_allowance}\n`);
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const fullDayTotal = parseFloat(row.standard_accommodation) + parseFloat(row.total_daily_allowance);
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console.log(` 🎯 FULL DAY COST (Accommodation + Per Diem): $${fullDayTotal.toFixed(2)} ${row.currency}\n`);
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}
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// Test 2: Sample Canadian city
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console.log('2️⃣ Testing Toronto (Canada):\n');
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const torontoQuery = `
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SELECT
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city_name, country, province, currency,
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jan_accommodation, feb_accommodation, mar_accommodation,
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breakfast, lunch, dinner, total_meals,
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incidentals, total_daily_allowance
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FROM travel_rates
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WHERE city_key = 'toronto'
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`;
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db.get(torontoQuery, [], (err, row) => {
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if (err) {
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console.error('❌ Query failed:', err);
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db.close();
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process.exit(1);
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}
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if (!row) {
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console.log('❌ Toronto not found\n');
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} else {
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console.log(`✅ ${row.city_name}, ${row.province}`);
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console.log(` Currency: ${row.currency}\n`);
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console.log(` 🏨 Accommodation (Jan): $${row.jan_accommodation}/night`);
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console.log(` 🏨 Accommodation (Feb): $${row.feb_accommodation}/night`);
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console.log(` 🏨 Accommodation (Mar): $${row.mar_accommodation}/night`);
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console.log(` 🍳 Breakfast: $${row.breakfast}`);
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console.log(` 🍱 Lunch: $${row.lunch}`);
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console.log(` 🍽️ Dinner: $${row.dinner}`);
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console.log(` 💰 Total Daily Allowance: $${row.total_daily_allowance}\n`);
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}
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// Test 3: Count verification
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console.log('3️⃣ Database Statistics:\n');
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const statsQuery = `
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SELECT
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COUNT(*) as total,
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COUNT(CASE WHEN is_international = 0 THEN 1 END) as canadian,
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COUNT(CASE WHEN is_international = 1 THEN 1 END) as international,
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COUNT(DISTINCT country) as countries
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FROM travel_rates
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`;
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db.get(statsQuery, [], (err, stats) => {
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if (err) {
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console.error('❌ Query failed:', err);
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db.close();
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process.exit(1);
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}
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console.log(` 📊 Total Cities: ${stats.total}`);
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console.log(` 🇨🇦 Canadian: ${stats.canadian}`);
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console.log(` 🌍 International: ${stats.international}`);
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console.log(` 🗺️ Countries: ${stats.countries}\n`);
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console.log('='.repeat(70));
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console.log('\n✅ All tests passed! Database has complete accommodation + meal rates\n');
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db.close();
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});
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});
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});
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