dature

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Type-safe configuration loader for Python dataclasses. Load config from YAML, JSON, TOML, INI, ENV files, environment variables, Docker secrets, CLI arguments, and HashiCorp Vault — with automatic type conversion, validation, and human-readable error messages.

Installation

pip install dature

With optional format support:

pip install dature[yaml]       # YAML (ruamel.yaml)
pip install dature[json5]      # JSON5
pip install dature[toml]       # TOML (toml_rs)
pip install dature[vault]      # HashiCorp Vault (hvac)
pip install dature[secure]     # Secret detection heuristics
pip install dature[type-stubs] # Type stubs for the integrations above (mypy/pyright users)

Quick Start

from dataclasses import dataclass

import dature

@dataclass
class Config:
    host: str
    port: int
    debug: bool = False

config = dature.load(dature.Yaml12Source(file="config.yaml"), Config)

Key Features

  • Multiple sources — YAML, JSON, JSON5, TOML, INI, ENV, environment variables, Docker secrets, CLI args (argparse), HashiCorp Vault
  • Merging — combine multiple sources with configurable strategies ("last_wins", "first_wins", "raise_on_conflict")
  • Validation — Annotated field validators, root validators, __post_init__ support
  • Naming — automatic field name mapping (snake_case ↔ camelCase ↔ UPPER_SNAKE etc.)
  • Secret masking — automatic masking in error messages and logs by field type, name, or heuristic
  • ENV expansion — $VAR, ${VAR:-default} substitution in all file formats
  • Special types — SecretStr, ByteSize, PaymentCardNumber, URL, Base64UrlStr
  • Debug report — debug=True shows which source provided each field value
  • Decorator mode — @dature.load(meta) auto-loads config on dataclass instantiation with caching

See the documentation for detailed guides and API reference.

Requirements

  • Python >= 3.12
  • adaptix >= 3.0.0b11

Development

git clone https://github.com/reagento/dature.git
cd dature
uv sync --all-extras --all-groups

Run tests:

uv run pytest tests/ -v

Lint and type check:

uv run prek run --all-files

Build docs locally:

uv run mkdocs serve

Changelog

Each PR must include a towncrier fragment in the changes/ directory:

# Format: changes/<issue-or-pr-number>.<type>
echo "Added support for YAML anchors." > changes/42.feature

Available <type> values:

Type Description
feature New features
bugfix Bug fixes
doc Documentation improvements
removal Deprecations and removals
misc Other changes

Use +<description> instead of an issue number for changes without a linked issue:

echo "Fixed typo in error message." > changes/+fix-typo.bugfix.md

Releasing

  1. Run the Release workflow and choose bump type (patch / minor / major). The next version is calculated from the latest git tag automatically.
  2. The workflow builds the changelog from fragments and creates a PR.
  3. Merge the PR — CI automatically creates the tag, publishes to PyPI, creates a GitHub Release, and updates docs.

License

Apache License 2.0

Project links

Data verified by PyPI on Jul 20, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.3.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Niccolum from gravatar.com Niccolum

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: Niccolum

GitHub Statistics

Data verified by PyPI on Jul 20, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.12

Provides Extra

json5 secure toml type-stubs vault yaml

Tags

config configuration dataclass env ini json json5 loader settings toml type-safe yaml

Classifiers

Report project as malware

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