Metadata-Version: 2.4
Name: pydantic-commands
Version: 0.1.0
Summary: A Django-like command system with Pydantic model integration for automatic argparse generation
Author-email: Starscribers <Starscribers@gmail.com>
Project-URL: Homepage, https://github.com/Starscribers/python-packages
Project-URL: Repository, https://github.com/Starscribers/python-packages.git
Project-URL: Issues, https://github.com/Starscribers/python-packages/issues
Project-URL: Documentation, https://github.com/Starscribers/python-packages/blob/main/pydantic-commands/README.md
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Classifier: Typing :: Typed
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pydantic>=2.0.0
Requires-Dist: any-registries>=0.1.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: black>=22.0.0; extra == "dev"
Requires-Dist: isort>=5.10.0; extra == "dev"
Requires-Dist: mypy>=0.950; extra == "dev"
Requires-Dist: ruff>=0.13.1; extra == "dev"
Requires-Dist: pre-commit>=3.0.0; extra == "dev"
Requires-Dist: bandit>=1.7.0; extra == "dev"
Requires-Dist: twine>=4.0.0; extra == "dev"
Provides-Extra: testing
Requires-Dist: pytest>=7.0.0; extra == "testing"
Requires-Dist: pytest-cov>=3.0.0; extra == "testing"
Dynamic: license-file

# Pydantic Commands

A Django-like command system with Pydantic model integration for automatic argparse generation.

## Features

- 🎯 **Django-inspired API**: Familiar command structure similar to Django's management commands
- 🔒 **Type-Safe**: Leverage Pydantic models for automatic validation and type conversion
- 🚀 **Auto-generated argparse**: Convert Pydantic models to argparse arguments automatically
- 🎨 **Flexible**: Support both class-based and function-based (decorator) commands
- 📦 **Registry System**: Built on `any-registries` for pluggable command architecture
- ✅ **Rich Type Support**: Handles strings, integers, floats, booleans, enums, lists, Path objects, and more

## Installation

```bash
pip install pydantic-commands
```

## Quick Start

### Class-Based Commands

```python
from pydantic import BaseModel, Field
from pydantic_commands import BaseCommand

class CreateUserCommand(BaseCommand):
    """Create a new user in the system."""

    name = "createuser"
    help = "Create a new user"

    class Arguments(BaseModel):
        username: str = Field(..., description="Username for the new user")
        email: str = Field(..., description="Email address")
        age: int = Field(default=18, description="User age")
        is_admin: bool = Field(default=False, description="Admin privileges")

    def handle(self, args: Arguments) -> None:
        print(f"Creating user: {args.username}")
        print(f"Email: {args.email}")
        print(f"Age: {args.age}")
        print(f"Admin: {args.is_admin}")

```

### Function-Based Commands (Decorator)

```python
from pydantic import BaseModel
from pydantic_commands import command

class GreetArgs(BaseModel):
    name: str
    greeting: str = "Hello"
    enthusiastic: bool = False

@command(name="greet", help="Greet someone", arguments=GreetArgs)
def greet_command(args: GreetArgs) -> None:
    message = f"{args.greeting}, {args.name}!"
    if args.enthusiastic:
        message = message.upper() + "!!!"
    print(message)

# The decorator automatically creates a command class
# and registers it in the command registry
```

### CLI Application Entry Point (host_cli)

The simplest way to create a CLI application is using `host_cli()`, similar to Django's `manage.py`:

```python
# cli.py
from pydantic import BaseModel, Field
from pydantic_commands import BaseCommand, command_registry, host_cli

class CreateUserCommand(BaseCommand):
    name = "createuser"
    help = "Create a new user"

    class Arguments(BaseModel):
        username: str = Field(..., description="Username")
        email: str = Field(..., description="Email address")

    def handle(self, args: Arguments) -> None:
        print(f"Creating user: {args.username}")

# Register your commands
command_registry.register(CreateUserCommand())

# This is your entry point - that's it!
if __name__ == "__main__":
    host_cli()
```

Run your CLI:

```bash
# Show help
python cli.py --help

# List commands
python cli.py

# Run a command
python cli.py createuser --username john --email john@example.com

# Get command help
python cli.py createuser --help
```

### Alternative: Manual CommandExecutor

For more control, use `CommandExecutor` directly:

```python
from pydantic_commands import CommandExecutor, command_registry

# Register your commands
cmd = CreateUserCommand()
command_registry.register(cmd)

# Execute from command line
if __name__ == "__main__":
    executor = CommandExecutor(prog_name="myapp")
    exit_code = executor.execute()  # Uses sys.argv
    sys.exit(exit_code)
```

Run your CLI:

```bash
# Show help
python myapp.py --help

# List commands
python myapp.py

# Run a command
python myapp.py createuser --username john --email john@example.com

# Get command help
python myapp.py createuser --help
```

## Advanced Usage

### Enum Fields

```python
from enum import Enum
from pydantic import BaseModel
from pydantic_commands import BaseCommand

class Status(str, Enum):
    ACTIVE = "active"
    INACTIVE = "inactive"
    PENDING = "pending"

class UpdateStatusCommand(BaseCommand):
    name = "updatestatus"

    class Arguments(BaseModel):
        user_id: int
        status: Status

    def handle(self, args: Arguments) -> None:
        print(f"Updating user {args.user_id} to {args.status.value}")
```

```bash
python myapp.py updatestatus --user-id 123 --status active
```

### List Fields

```python
class TagCommand(BaseCommand):
    name = "tag"

    class Arguments(BaseModel):
        tags: list[str]
        resource_ids: list[int]

    def handle(self, args: Arguments) -> None:
        print(f"Tagging resources {args.resource_ids} with {args.tags}")
```

```bash
python myapp.py tag --tags python cli tool --resource-ids 1 2 3
```

### Path Fields

```python
from pathlib import Path

class ConvertCommand(BaseCommand):
    name = "convert"

    class Arguments(BaseModel):
        input_file: Path
        output_file: Path
        overwrite: bool = False

    def handle(self, args: Arguments) -> None:
        if args.output_file.exists() and not args.overwrite:
            raise CommandError("Output file exists, use --overwrite")
        # Process files...
```

### Custom Argument Parsing

You can extend the `add_arguments` method to add custom argparse arguments:

```python
class CustomCommand(BaseCommand):
    name = "custom"

    def add_arguments(self, parser):
        parser.add_argument(
            "--custom-flag",
            action="store_true",
            help="A custom flag"
        )

    def handle(self, args):
        print(f"Custom flag: {args.custom_flag}")
```

### Error Handling

```python
from pydantic_commands import BaseCommand, CommandError

class RiskyCommand(BaseCommand):
    name = "risky"

    def handle(self, args):
        if some_condition:
            raise CommandError("Something went wrong!")
        # Normal execution...
```

### Auto-Loading Commands

The command registry automatically discovers and loads command files using a configurable pattern matching system:

```python
from pydantic_commands import command_registry

# By default, all files matching "*/commands.py" are auto-loaded
# This means any file named "commands.py" in any directory will be discovered
```

**Default Pattern**: `*/commands.py`

The registry will automatically find and import all Python files matching this pattern, making any command classes defined in those files available in your CLI application.

**Custom Pattern with Environment Variable**:

You can customize the discovery pattern using the `COMMANDS_PATTERN` environment variable:

```bash
# Load commands from specific patterns
export COMMANDS_PATTERN="myapp/management/commands/*.py"
python cli.py

# Load from multiple app directories
export COMMANDS_PATTERN="apps/*/commands.py"
python cli.py

# Load from nested command directories
export COMMANDS_PATTERN="**/commands/*.py"
python cli.py
```

**Example Directory Structure**:

```
myproject/
├── cli.py
├── user_management/
│   └── commands.py          # Auto-loaded (contains UserCommands)
├── data_processing/
│   └── commands.py          # Auto-loaded (contains DataCommands)
└── reporting/
    └── commands.py          # Auto-loaded (contains ReportCommands)
```

**How It Works**:

1. When the command registry is initialized, it scans for files matching the pattern
2. Each matching file is automatically imported
3. Any `BaseCommand` subclasses or `@command` decorated functions in those files are registered
4. Commands become available immediately without manual registration

**Manual Registration** (if you prefer explicit control):

```python
from pydantic_commands import command_registry
from myapp.commands import MyCommand

# Disable auto-loading and register manually
command_registry.register(MyCommand())
```

This auto-discovery system makes it easy to organize commands across multiple files and modules while keeping your CLI application simple and maintainable.

## Comparison with Django Commands

| Feature | Django Commands | Pydantic Commands |
|---------|----------------|-------------------|
| Base Class | `BaseCommand` | `BaseCommand` |
| Argument Definition | `add_arguments()` | Pydantic model |
| Type Validation | Manual | Automatic (Pydantic) |
| Argument Types | argparse types | Python types + Pydantic |
| Error Handling | `CommandError` | `CommandError` |
| Registry | Django app system | `any-registries` |
| Django Required | Yes | No |

## API Reference

### BaseCommand

The base class for all commands.

**Attributes:**
- `name` (str): Command name (auto-inferred from class name if not set)
- `help` (str): Short help text
- `description` (str): Detailed description
- `Arguments` (Type[BaseModel]): Pydantic model for arguments

**Methods:**
- `handle(args)`: Main command logic (must be implemented)
- `add_arguments(parser)`: Hook for adding custom arguments
- `execute(argv)`: Execute the command with given arguments
- `create_parser()`: Create an ArgumentParser for this command

### @command Decorator

Create commands from functions.

**Parameters:**
- `name` (str): Command name
- `help` (str): Help text
- `description` (str): Detailed description
- `arguments` (Type[BaseModel]): Pydantic model for arguments
- `register` (bool): Auto-register in registry (default: True)

### host_cli()

The main entry point for CLI applications (recommended).

**Function Signature:**
```python
def host_cli(
    argv: Optional[list[str]] = None,
    prog_name: Optional[str] = None
) -> None
```

**Parameters:**
- `argv` (list[str], optional): Command-line arguments (defaults to `sys.argv`)
- `prog_name` (str, optional): Program name for help text (defaults to `sys.argv[0]`)

**Usage:**
```python
# cli.py
from pydantic_commands import host_cli

if __name__ == "__main__":
    host_cli()
```

**Features:**
- Automatically discovers and executes registered commands
- Handles all argument parsing and validation
- Exits with appropriate exit code
- Similar to Django's `manage.py` pattern

### CommandExecutor

Execute commands from CLI arguments (for advanced usage).

**Methods:**
- `execute(argv=None)`: Execute command from arguments
- `list_commands()`: Get list of registered commands

### command_registry

Global registry for commands (instance of `any_registries.Registry`).

**Methods:**
- `register(command)`: Register a command
- `get(name)`: Get command by name
- `list()`: List all command names

## Development

### Setup

```bash
# Clone the repository
git clone https://github.com/Starscribers/python-packages.git
cd python-packages/pydantic-commands

# Install dependencies
pip install -e ".[dev]"

# Install pre-commit hooks
pre-commit install
```

### Running Tests

```bash
pytest tests/
```

### Code Quality

```bash
# Format code
ruff format .

# Lint
ruff check .

# Type check
mypy src/
```

## License

MIT License - see LICENSE file for details.

## Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

## Links

- **GitHub**: https://github.com/Starscribers/python-packages
- **Issues**: https://github.com/Starscribers/python-packages/issues
- **PyPI**: https://pypi.org/project/pydantic-commands/

## Credits

Built with:
- [Pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints
- [any-registries](https://github.com/Starscribers/python-packages/tree/main/any-registries) - Flexible registry system

Inspired by Django's management command system.
