Integrate OpenFlights API for free, no-auth flight data generation

- Added openFlightsService.js to fetch and cache OpenFlights airport/airline/routes data
- Validates airport codes exist in OpenFlights database (6072+ airports)
- Generates realistic flights using major international airlines
- Creates varied routing options: direct, 1-stop, 2-stop flights
- Updated flightService.js to use OpenFlights as primary source before Amadeus
- OpenFlights as fallback if Amadeus unavailable or returns no results
- No API keys or authentication required
- Cached locally to avoid repeated network requests
- Realistic pricing, times, and stop locations

Docker container rebuilt with OpenFlights integration.
This commit is contained in:
2026-01-13 10:32:05 -05:00
parent 969ba062f7
commit 66b72d5f74
15 changed files with 82237 additions and 40 deletions

18
scripts/db_summary.py Normal file
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import sqlite3
conn = sqlite3.connect('data/travel_rates_scraped.sqlite3')
cur = conn.cursor()
cur.execute('SELECT COUNT(*) FROM rate_entries')
print('Per-diem entries:', cur.fetchone()[0])
cur.execute('SELECT COUNT(*) FROM accommodations')
print('Accommodation entries:', cur.fetchone()[0])
cur.execute('SELECT COUNT(DISTINCT country) FROM rate_entries WHERE source="international"')
print('Countries with per-diem:', cur.fetchone()[0])
cur.execute('SELECT COUNT(DISTINCT city) FROM accommodations')
print('Canadian cities with accommodation listings:', cur.fetchone()[0])
conn.close()

16
scripts/debug_canberra.py Normal file
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import sqlite3
conn = sqlite3.connect('data/travel_rates_scraped.sqlite3')
cursor = conn.cursor()
cursor.execute("""
SELECT city, currency, rate_type, rate_amount
FROM rate_entries
WHERE country = 'Australia' AND city LIKE '%Canberra%'
ORDER BY city, rate_type
""")
for row in cursor.fetchall():
print(row)
conn.close()

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import sqlite3
conn = sqlite3.connect('data/travel_rates_scraped.sqlite3')
cursor = conn.cursor()
countries = ['Latvia', 'Germany', 'Dominican Republic', 'Brazil', 'Australia']
for country in countries:
print(f"\n{'='*80}")
print(f"{country.upper()}")
print(f"{'='*80}")
# Get all cities for this country
cursor.execute("""
SELECT DISTINCT city, currency
FROM rate_entries
WHERE country = ? AND city IS NOT NULL
ORDER BY city
""", (country,))
cities = cursor.fetchall()
if not cities:
print(f"No cities found for {country}")
continue
for city_name, currency in cities:
print(f"\n📍 {city_name} ({currency})")
print("-" * 80)
# Get meal rates for this city
cursor.execute("""
SELECT rate_type, rate_amount
FROM rate_entries
WHERE country = ? AND city = ? AND rate_type IN
('breakfast', 'lunch', 'dinner', 'incidental amount')
ORDER BY CASE
WHEN rate_type = 'breakfast' THEN 1
WHEN rate_type = 'lunch' THEN 2
WHEN rate_type = 'dinner' THEN 3
WHEN rate_type = 'incidental amount' THEN 4
END
""", (country, city_name))
rates = cursor.fetchall()
if rates:
for rate_type, amount in rates:
# Format the display
type_display = rate_type.replace('incidental amount', 'Incidentals').title()
print(f" {type_display:.<25} ${amount:>8.2f} {currency}")
else:
print(" No rate details found")
conn.close()