# Flight Airport Comparator CLI ✈️

A Python CLI tool that helps you find the best departure airport for your destination by comparing direct flights from all airports in a country.

**✅ NOW WITH WORKING FLIGHT DATA!** Uses fast-flights v3.0rc1 with SOCS cookie integration to successfully bypass Google's consent page.

## What It Does

Answers the question: **"I want to fly to [DESTINATION]. Which airport in [COUNTRY] should I depart from — and when in the next 6 months does the best route open up?"**

### Key Features

- 🌍 **Multi-Airport Comparison**: Automatically scans all airports in a country
- 📅 **Seasonal Scanning**: Discover new routes and price trends across 6 months
- ⚡ **Direct Flights Only**: Filters out connections automatically
- 🆕 **New Route Detection**: Highlights routes that appear in later months
- 🎨 **Beautiful Tables**: Rich terminal output with color and formatting
- 🚀 **Fast & Concurrent**: Parallel API requests for quick results
- ✅ **SOCS Cookie Integration**: Bypasses Google consent page for real flight data!
- 💾 **Smart Caching**: SQLite cache reduces API calls and prevents rate limiting

## Installation

```bash
# Clone or download this repository
cd flight-comparator

# Install fast-flights v3.0rc1 (REQUIRED for working flight data)
pip install --upgrade git+https://github.com/AWeirdDev/flights.git

# Install other dependencies
pip install -r requirements.txt

# Build airport database (runs automatically on first use)
python airports.py
```

### Requirements

- Python 3.10+
- **fast-flights v3.0rc1** (install from GitHub, not PyPI)
- Dependencies: click, rich, python-dateutil, primp

## Quick Test

Verify it works with real flight data:

```bash
python test_v3_with_cookies.py
```

Expected output:
```
✅ SUCCESS! Found 1 flight option(s):
1. Ryanair
   Price: €89
   BER → BRI
   06:10 - 08:20 (130 min)
```

## Usage

### Basic Examples

**Single date query:**
```bash
python main.py --to JFK --country DE --date 2026-06-15
```

**Seasonal scan (6 months):**
```bash
python main.py --to JFK --country DE
```

**Custom airport list:**
```bash
python main.py --to JFK --from FRA,MUC,BER --date 2026-06-15
```

**Dry run (preview without API calls):**
```bash
python main.py --to JFK --country DE --dry-run
```

### All Options

```
Options:
  --to TEXT                Destination airport IATA code (e.g., JFK) [required]
  --country TEXT           Origin country ISO code (e.g., DE, US)
  --date TEXT              Departure date YYYY-MM-DD. Omit for seasonal scan.
  --window INTEGER         Months to scan in seasonal mode (default: 6)
  --seat [economy|premium|business|first]
                           Cabin class (default: economy)
  --adults INTEGER         Number of passengers (default: 1)
  --sort [price|duration]  Sort order (default: price)
  --from TEXT              Comma-separated IATA codes (overrides --country)
  --top INTEGER            Max results per airport (default: 3)
  --output [table|json|csv]
                           Output format (default: table)
  --workers INTEGER        Concurrency level (default: 5)
  --dry-run                List airports and dates without API calls
  --help                   Show this message and exit.
```

### Advanced Examples

**Business class, sorted by duration:**
```bash
python main.py --to SIN --country DE --date 2026-07-20 --seat business --sort duration
```

**Seasonal scan with 12-month window:**
```bash
python main.py --to LAX --country GB --window 12
```

**Output as JSON:**
```bash
python main.py --to CDG --country NL --date 2026-05-10 --output json
```

**Force fresh queries (disable cache):**
```bash
python main.py --to JFK --country DE --no-cache
```

**Custom cache threshold (48 hours):**
```bash
python main.py --to JFK --country DE --cache-threshold 48
```

## How It Works

1. **Airport Resolution**: Loads airports for your country from the OpenFlights dataset
2. **Date Resolution**: Single date or generates monthly dates (15th of each month)
3. **Flight Search**: Queries Google Flights via fast-flights for each airport × date
4. **Filtering**: Keeps only direct flights (0 stops)
5. **Analysis**: Detects new connections in seasonal mode
6. **Formatting**: Presents results in beautiful tables, JSON, or CSV

## Seasonal Scan Mode

When you omit `--date`, the tool automatically:

- Queries one date per month (default: 15th) across the next 6 months
- Detects routes that appear in later months but not earlier ones
- Tags new connections with ✨ NEW indicator
- Helps you discover seasonal schedule changes

This is especially useful for:
- Finding when summer routes start
- Discovering new airline schedules
- Comparing price trends over time

## Country Codes

Common country codes:
- 🇩🇪 DE (Germany)
- 🇺🇸 US (United States)
- 🇬🇧 GB (United Kingdom)
- 🇫🇷 FR (France)
- 🇪🇸 ES (Spain)
- 🇮🇹 IT (Italy)
- 🇳🇱 NL (Netherlands)
- 🇦🇺 AU (Australia)
- 🇯🇵 JP (Japan)

[Full list of supported countries available in data/airports_by_country.json]

## Architecture

```
flight-comparator/
├── main.py              # CLI entrypoint (Click)
├── date_resolver.py     # Date logic & new connection detection
├── airports.py          # Airport data management
├── searcher.py          # Flight search with concurrency
├── formatter.py         # Output formatting (Rich tables, JSON, CSV)
├── data/
│   └── airports_by_country.json  # Generated airport database
├── tests/               # Smoke tests for each module
└── requirements.txt
```

## Caching System

The tool uses SQLite to cache flight search results, reducing API calls and preventing rate limiting.

### How It Works

- **Automatic caching**: All search results are saved to `data/flight_cache.db`
- **Cache hits**: If a query was made recently, results are retrieved instantly from cache
- **Default threshold**: 24 hours (configurable with `--cache-threshold`)
- **Cache indicator**: Shows `💾 Cache hit:` when using cached data

### Cache Management

**View cache statistics:**
```bash
python cache_admin.py stats
```

**Clean old entries (30+ days):**
```bash
python cache_admin.py clean --days 30
```

**Clear entire cache:**
```bash
python cache_admin.py clear-all
```

### CLI Options

- `--cache-threshold N`: Set cache validity in hours (default: 24)
- `--no-cache`: Force fresh API queries, ignore cache

### Benefits

- ⚡ **Instant results** for repeated queries (0.0s vs 2-3s per query)
- 🛡️ **Rate limit protection**: Avoid hitting Google's API limits
- 💰 **Reduced API load**: Fewer requests = lower risk of being blocked
- 📊 **Historical data**: Cache preserves price history

## Configuration

Key constants in `date_resolver.py`:

```python
SEARCH_WINDOW_MONTHS = 6   # Default seasonal scan window
SAMPLE_DAY_OF_MONTH = 15   # Which day to query each month
```

You can override the window at runtime with `--window N`.

## Limitations

- ⚠️ Relies on fast-flights scraping Google Flights (subject to rate limits and anti-bot measures)
- ⚠️ EU users may encounter consent flow issues (use fallback mode, which is default)
- ⚠️ Prices are as shown on Google Flights, not final booking prices
- ⚠️ Seasonal scan queries only the 15th of each month as a sample
- ⚠️ Large scans (many airports × months) can take 2-3 minutes

## Performance

Single date scan:
- ~20 airports: < 30s (with --workers 5)

Seasonal scan (6 months):
- ~20 airports: 2-3 minutes
- Total requests: 120 (20 × 6)

## Testing

Run smoke tests for each module:

```bash
cd tests
python test_date_resolver.py
python test_airports.py
python test_searcher.py
python test_formatter.py
```

## Troubleshooting

**"fast-flights not installed"**
```bash
pip install fast-flights
```

**"Country code 'XX' not found"**
- Check the country code is correct (2-letter ISO code)
- Verify it exists in `data/airports_by_country.json`

**Slow performance**
- Reduce `--window` for seasonal scans
- Increase `--workers` (but watch out for rate limiting)
- Use `--from` with specific airports instead of entire country

**No results found**
- Try a different date (some routes are seasonal)
- Check the destination airport code is correct
- Verify there actually are direct flights on that route

## License

This tool is for personal use and research. Respect Google Flights' terms of service and rate limits.

## Credits

- Uses [fast-flights](https://github.com/shmuelzon/fast-flights) for Google Flights scraping
- Airport data from [OpenFlights](https://openflights.org/)
- Built with [Click](https://click.palletsprojects.com/) and [Rich](https://rich.readthedocs.io/)