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.
44 lines
988 B
JSON
44 lines
988 B
JSON
{
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"name": "govt-travel-estimator",
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"version": "1.2.0",
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"description": "Government Travel Cost Estimator Web Application",
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"main": "server.js",
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"scripts": {
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"start": "node server.js",
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"dev": "nodemon server.js",
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"test": "jest",
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"test:watch": "jest --watch",
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"test:coverage": "jest --coverage"
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},
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"keywords": [
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"government",
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"travel",
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"cost-estimator",
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"njc"
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],
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"author": "",
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"license": "ISC",
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"dependencies": {
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"amadeus": "^11.0.0",
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"axios": "^1.13.1",
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"better-sqlite3": "^11.0.0",
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"compression": "^1.7.4",
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"cors": "^2.8.5",
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"dotenv": "^17.2.3",
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"express": "^4.18.2",
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"express-rate-limit": "^7.1.5",
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"helmet": "^7.1.0",
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"joi": "^17.11.0",
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"node-cache": "^5.1.2",
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"sqlite3": "^5.1.7",
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"winston": "^3.11.0",
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"winston-daily-rotate-file": "^4.7.1",
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"xlsx": "^0.18.5"
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},
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"devDependencies": {
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"jest": "^29.7.0",
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"nodemon": "^3.0.2",
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"supertest": "^6.3.3"
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}
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}
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