potato-dto 0.1.0

Type-safe DTOs for clean architecture in Python, built on Pydantic v2

Potato

Type-safe DTOs for clean architecture in Python

Potato is a Python library that enforces clean separation between your domain models and external data representations. Built on Pydantic v2, it provides type-safe Data Transfer Objects (DTOs) with class-definition-time validation via metaclasses.

Features

• Type Safety: Class-definition-time validation via metaclasses
• Unidirectional Data Flow: Separate ViewDTO (outbound) and BuildDTO (inbound)
• Field Mapping: Map domain fields to different names using Field(source=...)
• Computed Fields: Add derived fields with @computed decorator
• Auto Fields: Handle auto-generated fields with Auto[T]
• Private Fields: Protect sensitive fields with Private[T] (never exposed in DTOs)
• Aggregates: Compose multiple domains with field-based aggregates
• Nested ViewDTOs: Auto-build nested ViewDTO types
• ViewDTO Inheritance: Extend ViewDTOs for summary/detail patterns
• Partial Updates: BuildDTO with partial=True and apply_to()
• Field Transforms: Transform values with Field(transform=...)
• Field Visibility: Control visibility with Field(visible=...)
• Lifecycle Hooks: @before_build and @after_build decorators
• Immutability: ViewDTOs are frozen by default

Quick Example

from potato import Domain, ViewDTO, BuildDTO, Field, Auto, Private, computed

# Define your domain model
class User(Domain):
    id: Auto[int]  # Auto-managed field
    username: str
    email: str
    password_hash: Private[str]  # Never exposed in DTOs

# Create a ViewDTO for API responses (outbound)
class UserView(ViewDTO[User]):
    id: int
    login: str = Field(source=User.username)  # Map username -> login
    email: str

    @computed
    def display_name(self, user: User) -> str:
        return f"@{user.username}"

# Create a BuildDTO for API requests (inbound)
class UserCreate(BuildDTO[User]):
    username: str
    email: str
    # 'id' (Auto) and 'password_hash' (Private) are excluded

# Usage - Outbound
user = User(id=1, username="alice", email="[e-mail]", password_hash="hashed")
view = UserView.from_domain(user)
print(view.login)  # "alice"
print(view.display_name)  # "@alice"

# Usage - Inbound
dto = UserCreate(username="bob", email="[e-mail]")
user = dto.to_domain(id=2, password_hash="hashed_value")  # Provide auto & private fields

Installation

pip install potato

Or with uv:

uv add potato

Documentation

• Quickstart Guide - Get started in 5 minutes
• Philosophy - Understand the philosophy and design
• ViewDTO Guide - Outbound data flow
• BuildDTO Guide - Inbound data flow
• Aggregates - Multi-domain composition
• Validation - Class-definition-time validation
• Examples - Real-world use cases

Why Potato?

Modern applications need clear boundaries between:

• External data (API requests, database records)
• Domain logic (business models and rules)
• External representations (API responses, serialized data)

Potato enforces these boundaries with:

• Type-safe DTOs that prevent coupling
• Explicit transformations that are easy to trace
• Class-definition-time validation that catches errors early
• Immutable views that prevent accidental mutations

Development

# Install dependencies
uv sync

# Run tests
uv run pytest

# Type check
uv run mypy src/

# Run all checks
uv run pytest && uv run mypy src/

License

MIT

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Ready to get started? -> Quickstart Guide