turbobus 1.0.0
TurboBus is a powerful Python package designed to streamline the development of software applications adhering to the Command Responsibility Segregation (CRS) pattern.
License: MIT
Keywords: command, bus, cqrs, crs, injection, ddd, domain, driven, design, pattern, python, turbobus

# TurboBus

TurboBus is a powerful Python package designed to streamline the development of software applications adhering to the Command Responsibility Segregation (CRS) pattern.

## Installation
```bash
pip install turbobus
```

## Simple usage
Let's see an example using python typings. You can omit all the typing stuffs if you want to.

**God Mode ⚡**
```python3
from datetime import date
from turbobus.command import Command, CommandBus, CommandHandler, kw_only_frozen
from turbobus.constants import Provider

# We need to create a Command class that receives the values that the handler will use
# to execute the command. The Command class is a generic class that receives the return

# @kw_only_frozen: is a shortcut decorator for @dataclass(kw_only=True, frozen=True)

# Command[int]: is a generic class that receives a return_type.
# This is useful to check if the handler is returning the correct type
# And allow the CommandBus to know the return type of the command

@kw_only_frozen 
class CalculateAgeCommand(Command[int]):
    birthdate: str | date


# We need to create a CommandHandler class that will receive the Command class.
# The handler class must implement the execute method
    
# CommandHandler[CalculateAgeCommand]: is a generic class that receives the Command class
# this is useful to check if the handler is implementing the correct command class
class CalculateAgeHandler(CommandHandler[CalculateAgeCommand]):

    # The execute method must receive the Command class and return
    # the same type as in the Command class return_type
    def execute(self, cmd: CalculateAgeCommand) -> int:
        birthdate: date = cmd.birthdate if isinstance(cmd.birthdate, date) else date.fromisoformat(cmd.birthdate)

        today = date.today()
        age = today.year - birthdate.year - ((today.month, today.day) < (birthdate.month, birthdate.day))
        return age


# We need to register the Command and Handler in the Provider
# This is necessary to allow the CommandBus to find the correct handler
# to execute the command
Provider.set(CalculateAgeCommand, CalculateAgeHandler)


if __name__ == '__main__':
    # We need to create a CommandBus instance to execute the command
    bus = CommandBus()

    # Here we are executing the CalculateAgeCommand
    # if you're using an IDE that supports type hinting
    # you'll see that the result variable is inferred as int
    # because the CalculateAgeCommand is a generic class
    # that receives int as return_type
    result = bus.execute(
        CalculateAgeCommand(birthdate='1994-03-09')
    )

    print(f'You are {result} years old')

```

**Human Mode (No types, obviously 🙄)**

Here's the same example, but without types
```python3
from datetime import date
from turbobus.command import Command, CommandBus, CommandHandler, kw_only_frozen
from turbobus.constants import Provider


class CalculateAgeCommand(Command):

    def __init__(self, birthdate):
        self.birthdate = birthdate


class CalculateAgeHandler(CommandHandler):

    def execute(self, cmd: CalculateAgeCommand):
        birthdate = cmd.birthdate if isinstance(cmd.birthdate, date) else date.fromisoformat(cmd.birthdate)

        today = date.today()
        age = today.year - birthdate.year - ((today.month, today.day) < (birthdate.month, birthdate.day))
        return age

Provider.set(CalculateAgeCommand, CalculateAgeHandler)

if __name__ == '__main__':
    bus = CommandBus()

    result = bus.execute(
        CalculateAgeCommand(birthdate='1994-03-09')
    )

    print(f'You are {result} years old')

```

## Dependency injection
In many cases we're going to need to inject dependencies to our command handler. To accomplish that we have the `@inject` decorator. For example:

```python3
from abc import ABC, abstractmethod
from dataclasses import field
import uuid
from turbobus.command import Command, CommandBus, CommandHandler, kw_only_frozen
from turbobus.constants import Provider
from turbobus.injection import inject


# This is a simple Entity to represent a User
@kw_only_frozen
class UserEntity:
    id: uuid.UUID = field(default_factory=uuid.uuid4)
    name: str
    email: str


# We need to define the repository interface
# to save and retrieve users
class UserRepository(ABC):

    @abstractmethod
    def get_by_id(self, id: uuid.UUID) -> UserEntity | None:
        """Get user by id"""

    @abstractmethod
    def save(self, user: UserEntity) -> None:
        """Save user"""


# This is an in-memory implementation of the UserRepository
class UserRepositoryInMemory(UserRepository):

    def __init__(self):
        self._users: dict[uuid.UUID, UserEntity] = {}

    def get_by_id(self, id: uuid.UUID) -> UserEntity | None:
        return self._users.get(id)
    
    def save(self, user: UserEntity) -> None:
        self._users[user.id] = user


# Let's create a command to create a user account
@kw_only_frozen
class CreateUserAccount(Command[None]):
    name: str
    email: str


#  @inject is used to inject the dependencies
@inject
@kw_only_frozen
class CreateUserAccountHandler(CommandHandler[CreateUserAccount]):

    user_repository: UserRepository

    def execute(self, cmd: CreateUserAccount) -> None:
        user = UserEntity(name=cmd.name, email=cmd.email)

        # It's unnecessary to retrieve the user from the repository
        # this is just to demonstrate that the user was saved
        self.user_repository.save(user)
        user = self.user_repository.get_by_id(user.id)

        if user is None:
            raise Exception('User not found')
        
        print(f'Welcome {user.name}!')


Provider.set(UserRepository, UserRepositoryInMemory)
Provider.set(CreateUserAccount, CreateUserAccountHandler)


if __name__ == '__main__':
    bus = CommandBus()

    bus.execute(
        CreateUserAccount(name='Christopher Flores', email='cafadev@outlook.com')
    )

```
The `@inject` decorator also accepts the next parameters:

### Alias

The `@inject` decorator use the typing to resolve the required dependency. With the `alias: dict[str, Callable[..., Any]]` parameter you can specify a different implementation for the same interface. For example, let's say we have a UserRepository interface and then two different implementations; UserRepositoryInMemory and UserRepositorySQL.

```python3
Provider.set(UserRepository, UserRepositoryInMemory)
Provider.set('UserRepositorySQL', UserRepositorySQL)

@inject
class CreateUserAccount:

    user: UserRepository
```

By default, the `@inject` will use the `UserRepositoryInMemory` to provide the dependency. Let's specify the `UserRepositorySQL` as the provider. To accomplish that we just need to specify the parameter name that we want to override, and then the Provider Key:


```python3
Provider.set(UserRepository, UserRepositoryInMemory)
Provider.set(UserRepositorySQL, UserRepositorySQL)

@inject(alias={ 'user': 'UserRepositorySQL' })
class CreateUserAccount:

    user: UserRepository
```

### Only and Exclude
The `only` and `exclude` parameters in the `@inject` decorator allow you to fine-tune which dependencies should be resolved based on their names.

The `only` parameter specifies a list of dependency names that should exclusively be resolved. All other dependencies will be ignored.

```python3
@inject(only=['dependency1', 'dependency2'])
def my_function(dep1: Dependency1, dep2: Dependency2, dep3: Dependency3):
    # Only dep1 and dep2 will be injected
    pass
```

In this example, only dep1 and dep2 will be injected into the function because they are specified in the only list.

The `exclude` parameter specifies a list of dependency names that should be excluded from injection.

```python3
@inject(exclude=['dependency3'])
def my_function(dep1: Dependency1, dep2: Dependency2, dep3: Dependency3):
    # Dep3 will not be injected
    pass

```

In this example, dep3 will not be injected into the function because it is specified in the exclude list.

These parameters provide flexibility in controlling which dependencies are resolved, allowing you to customize the injection behavior according to your specific needs.