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.
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
"""Debug the scraper to see what currencies are being assigned"""
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import sys
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sys.path.insert(0, 'src')
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from gov_travel.scrapers import SourceConfig, scrape_tables_from_source, extract_rate_entries
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# Test international source with Argentina
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source = SourceConfig(name="international", url="https://www.njc-cnm.gc.ca/directive/app_d.php?lang=en")
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print("Fetching tables...")
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tables = scrape_tables_from_source(source)
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# Find Argentina table
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argentina_table = None
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for table in tables:
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if table['title'] and 'Argentina' in table['title']:
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argentina_table = table
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break
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if argentina_table:
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print(f"\nArgentina Table:")
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print(f" Title: {argentina_table['title']}")
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print(f" Rows: {len(argentina_table['data'])}")
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# Extract entries
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entries = extract_rate_entries(source, [argentina_table])
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print(f"\n Generated {len(entries)} entries")
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if entries:
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# Show first few entries
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print(f"\n First 3 entries:")
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for i, entry in enumerate(entries[:3]):
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print(f" {i+1}. City: {entry['city']}, Type: {entry['rate_type']}, Amount: {entry['rate_amount']}, Currency: {entry['currency']}")
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# Check unique currencies
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currencies = set(e['currency'] for e in entries)
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print(f"\n Unique currencies in Argentina entries: {currencies}")
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