Files
Gov_Travel_App/scripts/checkSchema.js
mblanke 15094ac94b 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.
2026-01-13 09:21:43 -05:00

31 lines
629 B
JavaScript

const sqlite3 = require("sqlite3").verbose();
const path = require("path");
const db = new sqlite3.Database(
path.join(__dirname, "..", "travel_rates.db"),
(err) => {
if (err) {
console.error("Error opening database:", err);
process.exit(1);
}
}
);
db.all(
"SELECT name FROM sqlite_master WHERE type='table' ORDER BY name",
[],
(err, tables) => {
if (err) {
console.error("Error querying tables:", err);
process.exit(1);
}
console.log("Tables in travel_rates.db:");
tables.forEach((table) => {
console.log(` - ${table.name}`);
});
db.close();
}
);