mirror of
https://github.com/mblanke/Gov_Travel_App.git
synced 2026-03-01 14:10:22 -05:00
mblanke
15094ac94b
- 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.
17 lines
308 B
JavaScript
17 lines
308 B
JavaScript
module.exports = {
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testEnvironment: 'node',
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coverageDirectory: 'coverage',
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collectCoverageFrom: [
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'server.js',
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'flightService.js',
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'services/**/*.js',
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'utils/**/*.js',
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'!**/node_modules/**',
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'!**/tests/**'
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],
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testMatch: [
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'**/tests/**/*.test.js'
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],
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verbose: true
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};
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