mirror of
https://github.com/mblanke/Gov_Travel_App.git
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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.
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
"""Test the scraper extract_rate_entries function with debug output"""
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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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# Create a test source config
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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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# Get just the first few tables
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print("Fetching tables...")
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tables = scrape_tables_from_source(source)
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print(f"Got {len(tables)} tables")
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# Check first table
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first_table = tables[0]
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print(f"\nFirst table:")
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print(f" Index: {first_table['table_index']}")
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print(f" Title: {first_table['title']}")
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print(f" Data rows: {len(first_table['data'])}")
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# Extract rate entries from just first table
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print("\nExtracting rate entries from first table...")
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entries = extract_rate_entries(source, [first_table])
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print(f"Got {len(entries)} entries")
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if entries:
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print(f"\nFirst entry:")
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print(f" Country: {entries[0]['country']}")
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print(f" City: {entries[0]['city']}")
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print(f" Currency: {entries[0]['currency']}")
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print(f" Rate Type: {entries[0]['rate_type']}")
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print(f" Rate Amount: {entries[0]['rate_amount']}")
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