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.
59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
import sqlite3
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import sys
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db_path = "data/travel_rates_scraped.sqlite3"
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try:
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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# Count total entries
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cursor.execute("SELECT COUNT(*) FROM rate_entries")
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total = cursor.fetchone()[0]
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print(f"Total rate entries: {total}")
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# Count entries with currency
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cursor.execute("SELECT COUNT(*) FROM rate_entries WHERE currency IS NOT NULL")
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with_currency = cursor.fetchone()[0]
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print(f"Entries with currency: {with_currency}")
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print(f"Missing currency: {total - with_currency}")
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# Currency distribution
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print("\nCurrency Distribution:")
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cursor.execute("""
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SELECT currency, COUNT(*) as count
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FROM rate_entries
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GROUP BY currency
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ORDER BY count DESC
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""")
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for row in cursor.fetchall():
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currency = row[0] if row[0] else "NULL"
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print(f" {currency}: {row[1]}")
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# Sample entries with currency
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print("\nSample Entries (Argentina ARS):")
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cursor.execute("""
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SELECT country, city, rate_type, rate_amount, currency
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FROM rate_entries
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WHERE country LIKE '%Argentina%'
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LIMIT 5
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""")
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for row in cursor.fetchall():
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print(f" {row[0]} | {row[1]} | {row[2]}: ${row[3]} {row[4]}")
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print("\nSample Entries (Albania EUR):")
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cursor.execute("""
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SELECT country, city, rate_type, rate_amount, currency
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FROM rate_entries
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WHERE country LIKE '%Albania%'
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LIMIT 5
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""")
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for row in cursor.fetchall():
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print(f" {row[0]} | {row[1]} | {row[2]}: ${row[3]} {row[4]}")
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conn.close()
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except Exception as e:
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print(f"Error: {e}")
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sys.exit(1)
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