gofigure 0.2.5

Dynamic Attributable Config System

GOFIGURE

*Only PyYAML for YAML support

A dynamic configuration system with flexible access patterns for Python. Zero external dependencies except PyYAML.

✨ Features

• 🔄 Dual Access Patterns: Use both config.key and config['key'] interchangeably
• 💾 File Persistence: Automatic loading/saving with JSON and YAML support
• 🌳 Smart Nesting: Automatic handling of nested dictionaries with autovivification
• 🛡️ Namespace Protection: Intelligent method naming when your data conflicts
• ⚡ Autosave: Optional automatic persistence on configuration changes
• 🔒 Type Safe: Full typing support with comprehensive error handling
• 🎯 Zero Config: Works out of the box with sensible defaults

🚀 Quick Start

from gofigure import Gofig

# Load from file
config = Gofig.FromJSON('config.json')

# Dual access patterns
config.database.host = 'localhost'        # Attribute access
config['database']['port'] = 5432         # Dict access

# Automatic nesting (autovivification)
config.api.endpoints.users = '/api/v1/users'
print(config.api.endpoints.users)  # /api/v1/users

# Save changes
config.save()

# Autosave mode - changes persist immediately
config = Gofig.FromYAML('settings.yaml', autosave=True)
config.debug = True  # Automatically saved!

📦 Installation

pip install gofigure

🔧 Advanced Usage

Autovivification Control

# Default: auto-create nested structures
config = Gofig(autovivify=True)
config.new.nested.key = "value"  # Creates nested structure automatically

# Strict mode: only access existing keys
config = Gofig(autovivify=False, nullaccess=AttributeError)
config.nonexistent  # Raises AttributeError

# Return None for missing keys
config = Gofig(autovivify=False, nullaccess=None)
print(config.missing)  # None

Namespace Conflict Resolution

# Automatic resolution
config = Gofig({'save': 'important_data'})
config.Save()  # Uses 'Save' instead of 'save'

# Standalone functions (always available)
from gofigure import save, reload
save(config)
reload(config)

# Extreme conflicts - use operators
config = Gofig({
    'save': 'data', 'Save': 'data', 'persist': 'data'
}, manglenamespace=True)
config >> ...  # Save via operator
config << ...  # Reload via operator

Flexible Initialization

# Hierarchy: file → data → overrides
config = Gofig(
    data={'defaults': True},
    filepath='config.json',
    autosave=True,
    environment='production',  # Override
    debug=False               # Override
)

Error Handling

from gofigure import UnsupportedFormat, NamespaceConflict

try:
    config = Gofig.FromJSON('config.xml')  # Wrong format
except UnsupportedFormat as e:
    print(f"Format not supported: {e.fmt}")
    print(f"Supported formats: {e.supported}")

📋 Supported Formats

Format	Extensions	Status
JSON	.json	✅ Full support
YAML	.yaml, .yml	✅ Full support
TOML	.toml	🚧 Coming soon

🔬 Technical Features

• Smart Merging: Nested configurations merge intelligently
• Memory Efficient: Shared root references for nested objects
• Type Hints: Full typing support with generics
• Comprehensive Tests: 101 tests covering edge cases
• No Magic: Clear, predictable behavior

📝 Requirements

• Python 3.9+
• PyYAML 6.0+ (for YAML support)

📄 License

MIT License - see LICENSE file for details.

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_{Built with ❤️ and zero unnecessary dependencies}