clevis 0.6.0

Configuration management for Python projects with dataclass-based schemas

Clevis

Configuration management for Python projects with dataclass-based schemas

Clevis provides type-safe configuration management for Python applications:

• Dataclass schemas — Define config structure with Python dataclasses
• TOML support — Load from .toml files with automatic discovery
• Env vars — ${VAR} interpolation (with envtoml/tomlev extras)
• CLI generation — Auto-generate argparse from dataclass
• Layered config — User config < project config < CLI args
• Subcommands — Build CLI apps with multiple commands
• Dynamic registration — Plugin architecture with runtime field injection
• Security — File permission validation to protect credentials

Quick Start

Get running in 30 seconds:

# Install (Python 3.11+)
pip install clevis

# Or with environment variable support
pip install clevis[envtoml]

from dataclasses import dataclass
from clevis import get_config

@dataclass
class Config:
    name: str = "MyApp"
    debug: bool = False
    port: int = 8080

# Load from ~/.myapp.toml, ./myapp.toml, and CLI args
config = get_config(Config, name="myapp")

print(config.name)   # Access as attribute
print(config.debug)  # Type-safe access
print(config.port)   # Automatic type conversion

That's it! Create a myapp.toml file:

name = "Production App"
debug = true

[database]
host = "db.example.com"
port = 5432

Override with CLI:

python app.py --name "Custom App" --port 9000

Features

Feature	Description	Example
Dataclass schemas	Type-safe configuration	@dataclass class Config: ...
TOML loading	Auto-discover config files	get_config(Config, name="myapp")
Environment vars	${VAR} interpolation	pip install clevis[envtoml]
CLI arguments	Auto-generate argparse	python app.py --database-host localhost
Boolean flags	--flag for True, --no-flag for False	python app.py --debug / --no-debug
List append	Repeat --field val	python app.py --packages pkg --packages c3
Layered config	Defaults < User < Project < CLI	Priority-based merging
Nested configs	Hierarchical configuration	[database] host = "localhost"
Subcommands	Multi-command CLI apps	@configclass(cmd="build")
Factory pattern	Multi-module orchestration	get_factory(Config).prefix = "app1"
Dynamic registration	Plugin architecture	register_field(Parent, "plugin", PluginConfig)
Security	File permission validation	SecurityAction.REJECT (default)

Installation

Choose your TOML parser based on needs:

Extra	Features	Use When
(none)	Stdlib tomllib	Python 3.11+, minimal deps
tomli	Pure Python TOML	Python 3.10 compatibility
envtoml	${VAR} interpolation	Environment-based config
tomlev	`${VAR	default}` syntax

# Python 3.11+ - no extras needed
pip install clevis

# Python 3.10
pip install clevis[tomli]

# Environment variable support
pip install clevis[envtoml]

Core Concepts

Configuration Priority

Values are merged in order (highest priority wins):

1. CLI arguments — --database-host localhost
2. Environment variables — Only when using envtoml/tomlev
3. Project TOML — ./myapp.toml
4. User TOML — ~/.myapp.toml
5. Dataclass defaults — Default values in class definition

Security

Clevis validates file permissions by default:

from clevis import get_config, SecurityAction

# Default: reject insecure configurations
config = get_config(Config, name="myapp")

# Disable checks (for containers, testing)
config = get_config(
    Config,
    name="myapp",
    security={"file_permissions": SecurityAction.DONT_CHECK}
)

# Log warnings instead of rejecting
config = get_config(
    Config,
    name="myapp",
    security={"file_permissions": SecurityAction.LOG}
)

Examples

The examples/ directory contains 10 comprehensive examples:

Example	Features Demonstrated	Run Command
main.py	Basic config, CLI args, TOML, security	uv run python main.py --help
nested.py	Nested dataclasses, TOML sections	uv run python nested.py --tool-settings-x 10
validation.py	Custom validation, __post_init__	uv run python validation.py --server-url "http://localhost"
environment.py	${VAR} interpolation, credentials	export DB_HOST=localhost && uv run python environment.py
factory.py	Multi-module orchestration, prefixes	uv run python factory.py --app1-name "first"
commands.py	CLI subcommands, aliases	uv run python commands.py check --verbose
subcommands.py	TOML override with config parameter	uv run python subcommands.py cli --server-url "https://api.example.com"
library_mode.py	Web framework integration, testing	uv run python library_mode.py
dynamic.py	Plugin architecture, register_field()	uv run python dynamic.py --help
plugin.py	Practical plugin implementation	uv run python plugin.py --pkgq-timeout 60

See examples/README.md for detailed feature matrix and learning path.

Usage Patterns

For detailed usage patterns and API reference, see PACKAGE.md.

Basic Configuration

from dataclasses import dataclass
from clevis import get_config

@dataclass
class Config:
    name: str = "MyApp"
    debug: bool = False

config = get_config(Config, name="myapp")

CLI Subcommands

from clevis import configclass, get_cmd, get_config

@configclass(cmd="check", help="Run diagnostics", aliases=["c", "chk"])
class CheckConfig:
    verbose: bool = False
    fix: bool = False

@configclass(cmd="build", help="Build the project")
class BuildConfig:
    output: str = "dist"

if __name__ == "__main__":
    cmd = get_cmd()
    if cmd == "check":
        config = get_config(CheckConfig, project=False, user=False)
        print(f"Checking with verbose={config.verbose}")
    elif cmd == "build":
        config = get_config(BuildConfig, project=False, user=False)
        print(f"Building to {config.output}")

Dynamic Registration (Plugin Architecture)

from dataclasses import dataclass
from clevis import register_field, get_config

# Parent config (must NOT be frozen)
@dataclass
class ToolsConfig:
    list: str = "default"

# Plugin config
@dataclass
class PkgqToolConfig:
    enabled: bool = True
    timeout: int = 30

# Register plugin field at runtime
register_field(ToolsConfig, "pkgq", PkgqToolConfig)

# Now ToolsConfig has a pkgq field
config = get_config(ToolsConfig, name="tools")
print(config.pkgq.enabled)  # True
print(config.pkgq.timeout)  # 30

Library Mode

from clevis import get_config

# Library mode - skip CLI parsing
config = get_config(Config, name="myapp", cli=False)

# Testing
def test_my_config():
    config = get_config(
        TestConfig,
        user=False,
        project=False,
        args=[]
    )
    assert config.name == "default"

API Reference

For complete API documentation, see PACKAGE.md or docs/api.rst.

Key functions:

• get_config(data_class, name, ...) — Load configuration from TOML and CLI
• configclass(cmd=None, help=None, ...) — Decorator for configuration classes
• register_field(parent_class, field_name, field_type) — Register plugin fields
• get_factory(config_class) — Get Factory for multi-module apps
• get_cmd() — Get active subcommand name

Documentation

• Quick Start — This README
• Examples — examples/README.md with feature matrix
• Package Guide — PACKAGE.md comprehensive API and patterns
• API Reference — docs/api.rst or clevis.readthedocs.io

Testing

# Run tests
make test

# Run tests with coverage
make test-cov

# Run quality checks
make check

Contributing

# Clone the repository
git clone https://github.com/christophevg/clevis.git
cd clevis

# Create development environment
make env-dev

# Run tests
make test

# Run quality checks
make check

# Format code
make format

See Makefile for all available targets.

Acknowledgments

Clevis builds on excellent work from the Python community:

• tomllib — Python 3.11+ stdlib
• tomli — Pure Python TOML 1.0
• envtoml — Env var interpolation
• tomlev — Env vars with defaults
• dacite — Dict-to-dataclass conversion

License

MIT