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.
22 lines
442 B
TOML
22 lines
442 B
TOML
[build-system]
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requires = ["setuptools>=68", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "gov-travel"
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version = "0.1.0"
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description = "Scrape NJC travel rates into SQLite"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"beautifulsoup4==4.12.3",
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"lxml==5.3.0",
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"pandas==2.2.3",
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"requests==2.32.3",
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]
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[tool.setuptools]
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package-dir = {"" = "src"}
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[tool.setuptools.packages.find]
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where = ["src"] |