providerkit 1.1.0

ProviderKit - Generic provider management library

python-providerkit

ProviderKit is a generic provider management library for Python. It provides a standardized way to manage, discover, and interact with multiple service providers in a unified manner.

Installation

pip install providerkit

For development:

pip install -e .
pip install -e ".[dev,lint,quality,security,test]"

Usage

ProviderKit provides a mixin-based architecture for creating and managing providers.

Basic Usage

from providerkit import ProviderBase, get_providers

# Load providers from various sources
providers = get_providers(json="providers.json")
# or
providers = get_providers(dir_path="path/to/providers")
# or
providers = get_providers(config=[{"class": "mypackage.providers.MyProvider", "config": {...}}])

# Use providers
for name, provider in providers.items():
    print(f"{provider.display_name}: {provider.name}")

Creating a Provider

Create a provider by inheriting from ProviderBase:

from providerkit import ProviderBase

class EmailProvider(ProviderBase):
    name = "email"
    display_name = "Email Provider"
    description = "Sends emails via SMTP"
    
    def __init__(self, **kwargs):
        super().__init__(
            name="email",
            display_name="Email Provider",
            description="Sends emails via SMTP",
            **kwargs
        )

Provider Discovery

ProviderKit can automatically discover providers from directories:

from providerkit import autodiscover_providers

# Discover providers from a directory
providers = autodiscover_providers("path/to/providers", base_module="mypackage.providers")

Loading from JSON

Create a JSON file with provider configurations:

{
  "providers": [
    {
      "class": "mypackage.providers.EmailProvider",
      "config": {
        "smtp_host": "smtp.example.com",
        "smtp_port": 587
      }
    }
  ]
}

Load it:

from providerkit import load_providers_from_json

providers = load_providers_from_json("providers.json")

Loading from Configuration

from providerkit import load_providers_from_config

config = [
    {
        "class": "mypackage.providers.EmailProvider",
        "config": {"smtp_host": "smtp.example.com"},
        "kwargs": {}
    }
]

providers = load_providers_from_config(config)

Provider Mixins

ProviderKit uses a mixin-based architecture. All mixins are automatically included in ProviderBase:

• PackageMixin: Package dependency management and validation
• ConfigMixin: Configuration management and validation
• ServiceMixin: Business logic implementation and service methods
• UrlsMixin: URL routing and endpoint management (if applicable)

Architecture

ProviderKit uses a mixin-based architecture:

• Each provider inherits from ProviderBase which combines all mixins
• Mixins are organized in dedicated files for clear separation of concerns
• Providers can be discovered, queried, and used programmatically
• The system validates dependencies and configuration before allowing provider usage

Project Structure

python-providerkit/
├── src/providerkit/          # Main package
│   ├── kit/                  # Core provider infrastructure
│   │   ├── __init__.py       # ProviderBase class
│   │   ├── package.py        # PackageMixin
│   │   ├── config.py         # ConfigMixin
│   │   ├── service.py        # ServiceMixin
│   │   └── urls.py           # UrlsMixin
│   ├── providers/            # Provider implementations
│   ├── helpers/              # Utility functions
│   └── cli.py                # CLI interface
├── tests/                    # Test suite
└── docs/                     # Documentation

CLI System

ProviderKit includes a flexible CLI system that discovers commands from:

1. commands/ directory: A directory next to cli.py containing command modules
2. .commands.json configuration file: A JSON file that can specify:
   • packages: List of packages to discover commands from
   • directories: List of directories to scan for commands
   • commands: Direct command definitions

Creating Commands

Commands can be created in two ways:

Method 1: Using the Command class

Create a file in the commands/ directory (e.g., commands/mycommand.py):

from .base import Command

def _mycommand_command(args: list[str]) -> bool:
    """Description of what this command does."""
    # Command implementation
    print("Hello from mycommand!")
    return True

mycommand_command = Command(_mycommand_command, "Description of what this command does")

Method 2: Using functions ending with _command

def mycommand_command(args: list[str]) -> bool:
    """Description of what this command does."""
    # Command implementation
    print("Hello from mycommand!")
    return True

Command Structure

Commands receive a list of string arguments and return a boolean indicating success:

def mycommand_command(args: list[str]) -> bool:
    """Command description for help text."""
    if not args:
        print("Usage: mycommand <arg1> <arg2>")
        return False
    
    # Process arguments
    arg1 = args[0]
    # ... command logic ...
    
    return True  # Success

Environment Variables

ENVFILE_PATH

The ENVFILE_PATH environment variable allows you to automatically specify the path to a .env file to load when starting services.

Usage:

# Absolute path
ENVFILE_PATH=/path/to/.env ./service.py dev install-dev

# Relative path (relative to project root)
ENVFILE_PATH=.env.local ./service.py quality lint

Behavior:

• If the path is relative, it is resolved relative to the project root
• The .env file is automatically loaded before command execution
• Uses python-dotenv to parse the file (installed automatically if needed)
• Works with dev and cli services

ENSURE_VIRTUALENV

The ENSURE_VIRTUALENV environment variable allows you to automatically activate the .venv virtual environment if it exists, before executing commands.

Usage:

ENSURE_VIRTUALENV=1 ./service.py dev help
ENSURE_VIRTUALENV=1 ./service.py quality lint

Behavior:

• Must be set to 1 to be active
• Automatically activates the .venv virtual environment at the project root
• Modifies sys.executable, PATH, and sys.path to use the venv's Python
• Only works if the .venv directory exists
• Compatible with Windows and Unix

Note: The ensure_virtualenv() function is also automatically called by the main service, but ENSURE_VIRTUALENV allows you to force activation even in contexts where it might not be automatic.

Use Cases

• Multi-provider integrations (email, SMS, payment, etc.)
• Provider fallback mechanisms
• Provider discovery and selection
• Configuration validation across multiple providers
• Unified interface for heterogeneous services

Development

ProviderKit uses clicommands for the CLI. See docs/ for project rules and guidelines.