cac-core 0.2.0

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CAC Core

An API client library providing essential functionality for command-line applications.

Overview

CAC Core (cac_core) is a Python library that provides common utilities for building robust command-line applications. It includes modules for configuration management, standardized logging, data modeling, and formatted output display.

Features

• Configuration Management: Load/save configs from YAML files with environment variable support
• Standardized Logging: Consistent, configurable logging across applications
• Data Modeling: Dynamic attribute creation and manipulation with dictionary-like access
• Output Formatting: Display data as tables or JSON with customization options

Installation

# Install from PyPI
pip install cac-core

# Or install with Poetry
poetry add cac-core

Usage

Configuration

import cac_core as cac

# Load configuration
config = cac.config.Config("myapp")
server_url = config.get("server", "default-value")

# Update configuration
config.set("api_key", "my-secret-key")
config.save()

Logging

import cac_core as cac

# Create a logger
logger = cac.logger.new(__name__)
logger.info("Application started")
logger.debug("Debug information")

Data Models

import cac_core as cac

# Create data model
data = {
    "name": "Project X",
    "status": "active",
    "metadata": {
        "created": "2025-01-01",
        "version": "1.0"
    }
}

model = cac.model.Model(data)
print(model.name)  # "Project X"
print(model.metadata.version)  # "1.0"

Output Formatting

import cac_core as cac

# Create output handler
output = cac.output.Output({"output": "table"})

# Display data as table
models = [model1, model2, model3]
output.print_models(models)

# Display as JSON
output = cac.output.Output({"output": "json"})
output.print_models(models)

Development

# Clone the repository
git clone https://github.com/rpunt/cac_core.git
cd cac_core

# Install dependencies
poetry install

# Run tests
poetry run pytest

Project Structure

• config.py - Configuration management
• logger.py - Standardized logging
• model.py - Data modeling utilities
• output.py - Output formatting

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.