serde-dataclass 0.0.2

Convert dataclasses to TOML, preserving comments.

serde-dataclass

TOML and JSON serialization for Python dataclasses is provided through a small, explicit API.

Comment-preserving TOML output, renamed keys, nested dataclasses, and typed round-trips are supported.

Documentation

Project documentation is provided through MkDocs.

pip install -e .[docs]
mkdocs serve

Detailed usage is documented in docs/.

Installation

pip install serde-dataclass

For development and example dependencies:

pip install -e .[dev]

Quick Start

from dataclasses import dataclass, field
from enum import Enum
from typing import Literal

from serde_dataclass import TomlDataclass


class Mode(str, Enum):
    DEV = "dev"
    PROD = "prod"


@dataclass
class Database:
    host: str = field(metadata={"description": "Database host"})
    port: int = field(default=5432, metadata={"description": "Database port"})


@dataclass
class AppConfig(TomlDataclass):
    """Application configuration"""

    app_name: str = field(
        default="demo",
        metadata={"description": "Application name", "toml": "app-name"},
    )
    log_level: Literal["debug", "info", "warning", "error"] = field(
        default="info",
        metadata={"description": "Logging verbosity", "toml": "log-level"},
    )
    mode: Mode = field(default=Mode.DEV, metadata={"description": "Runtime mode"})
    database: Database = field(
        default_factory=lambda: Database(host="localhost"),
        metadata={"description": "Database settings"},
    )


cfg = AppConfig()
text = cfg.to_toml()
loaded = AppConfig.from_toml(text)

assert loaded == cfg
print(text)

Example output:

# Application configuration

app-name = "demo" # Application name
log-level = "info" # Logging verbosity
mode = "dev" # Runtime mode

# Database settings
[database]
host = "localhost" # Database host
port = 5432 # Database port

Summary

• TomlDataclass and JsonDataclass are provided as base mixins.
• Root comments, field comments, renamed keys, and nested dataclasses are supported.
• Enum, Literal, Optional, lists, tuples, sets, and dict[str, T] are supported.
• Custom loading is configured through dacite.Config.
• Custom serialization is integrated through json.JSONEncoder and tomlkit encoders.

Notes

• TOML comments are emitted only for TOML serialization.
• Dictionary keys are required to be strings.
• Fields with None values are omitted from TOML output.

Development

pytest -q

License

MIT