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