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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.
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46
data/sampleFlights.json
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46
data/sampleFlights.json
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[
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{
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"price": 1295.00,
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"currency": "CAD",
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"duration": "PT16H10M",
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"durationHours": 16.2,
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"businessClassEligible": true,
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"stops": 1,
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"carrier": "AC",
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"departureTime": "2025-11-15T08:00:00",
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"arrivalTime": "2025-11-15T16:10:00"
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},
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{
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"price": 1420.50,
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"currency": "CAD",
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"duration": "PT14H25M",
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"durationHours": 14.4,
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"businessClassEligible": true,
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"stops": 2,
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"carrier": "BA",
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"departureTime": "2025-11-15T09:30:00",
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"arrivalTime": "2025-11-15T16:55:00"
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},
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{
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"price": 980.25,
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"currency": "CAD",
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"duration": "PT20H05M",
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"durationHours": 20.1,
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"businessClassEligible": true,
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"stops": 2,
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"carrier": "QF",
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"departureTime": "2025-11-15T07:15:00",
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"arrivalTime": "2025-11-15T16:20:00"
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},
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{
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"price": 875.75,
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"currency": "CAD",
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"duration": "PT18H40M",
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"durationHours": 18.7,
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"businessClassEligible": true,
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"stops": 3,
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"carrier": "SQ",
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"departureTime": "2025-11-15T06:45:00",
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"arrivalTime": "2025-11-15T15:25:00"
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}
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]
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