weather-decoder 1.1.1

A comprehensive METAR and TAF decoder for aviation weather reports

Weather Decoder 1.0

A comprehensive, modular Python library for parsing and decoding aviation weather reports (METAR and TAF).

Features

• METAR Decoder: Parse Meteorological Terminal Air Reports
• TAF Decoder: Parse Terminal Aerodrome Forecasts
• Modular Architecture: Clean, maintainable code with specialized parsers
• Command Line Interface: Easy-to-use CLI tools
• Comprehensive Parsing: Handles wind, visibility, weather phenomena, sky conditions, and more
• Remarks Decoding: Intelligent parsing of remarks sections
• Multiple Formats: Support for various international weather report formats

Installation

pip install -e .

Quick Start

Python API

from weather_decoder import MetarDecoder, TafDecoder

# Decode METAR
metar_decoder = MetarDecoder()
metar_data = metar_decoder.decode("METAR KJFK 061751Z 28008KT 10SM FEW250 22/18 A2992")
print(metar_data)

# Decode TAF
taf_decoder = TafDecoder()
taf_data = taf_decoder.decode("TAF KJFK 061730Z 0618/0724 28008KT 9999 FEW250")
print(taf_data)

Command Line

# Decode METAR
decode-metar "METAR KJFK 061751Z 28008KT 10SM FEW250 22/18 A2992"

# Decode TAF
decode-taf "TAF KJFK 061730Z 0618/0724 28008KT 9999 FEW250"

# Process files
decode-metar -f metars.txt
decode-taf -f tafs.txt

# Interactive mode
decode-metar
decode-taf

Architecture

The Weather Decoder 1.0 features a clean, modular architecture:

weather_decoder/
├── core/           # Main decoder classes
├── data/           # Data classes for parsed reports
├── parsers/        # Specialized component parsers
├── utils/          # Constants, patterns, and formatters
└── cli/            # Command line interfaces

Components

• Core Decoders: Orchestrate the parsing process
• Specialized Parsers: Handle specific weather components (wind, visibility, etc.)
• Data Classes: Structured representation of parsed data
• Utilities: Shared constants, patterns, and formatting functions
• CLI: User-friendly command line interfaces

Benefits of the Modular Design

1. Maintainability: Each parser handles a specific component
2. Testability: Components can be tested in isolation
3. Extensibility: Easy to add new parsers or modify existing ones
4. Reusability: Parsers can be used independently
5. Clarity: Clear separation of concerns

Supported Features

METAR Features

• Station identification
• Observation time
• Wind information (including variable direction and gusts)
• Visibility (including RVR)
• Weather phenomena
• Sky conditions
• Temperature and dewpoint
• Altimeter settings
• Trends
• Comprehensive remarks parsing

TAF Features

• Station identification and issue time
• Valid periods
• Wind forecasts
• Visibility forecasts
• Weather phenomena forecasts
• Sky condition forecasts
• Temperature forecasts (TX/TN)
• Change groups (TEMPO, BECMG, FM, PROB)
• Pressure settings (QNH)
• Remarks parsing

Migration from Version 1.x

The new modular structure maintains API compatibility while providing better organization:

# Old way (still works)
from weather_decoder import MetarDecoder, TafDecoder

# New way (recommended for advanced usage)
from weather_decoder.core.metar_decoder import MetarDecoder
from weather_decoder.parsers.wind_parser import WindParser

Contributing

Contributions are welcome! The modular architecture makes it easy to:

1. Add new parsers for additional weather components
2. Improve existing parsers
3. Add support for new weather report formats
4. Enhance the CLI tools

License

MIT License - see LICENSE file for details.