layeredcfg

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A lightweight layered configuration library with a Rust core and a Python binding, that takes each setting from a TOML file of defaults, env-style files, the environment or the command line, and converts it to its default's type.

Table of Contents

• Overview
• Features
• Security Audit
• Prerequisites
• Installation
• Usage
• What the Layers Take
• Env-Style Files
• Testing
• Compatibility
• License
• Author

Overview

A TOML file of defaults says which settings there are and the type of each: the type of its default. A setting's value is taken from the highest layer that has one,

defaults (the TOML file)  <  env-style files  <  the environment  <  overrides (the command line)

and converted to its default's type. A value that does not convert is an error, never a guess: ture for a boolean is a mistake, not false. A setting's name in the environment and in the files is a prefix and its key upper-cased, dots made underscores: with the prefix APP_, server.port is APP_SERVER_PORT.

Features

• No schema to write in code: adding a setting is adding a line, with a comment, to the TOML file
• Four layers: defaults, env-style files, the environment, overrides
• Strict conversion to the default's type, as Python converts text
• Env-style files read as python-dotenv reads them for the most part
• A value written back into its file in place, every other byte kept (persist)
• Secrets shown masked; settings that only the files may set
• A Rust library without unsafe code of its own, and a Python binding whose errors are Python's kinds

Security Audit

The maintainer's own security audit of the code, not one by a third party: it says what was checked and how, not that nothing is wrong. The latest results of each check are committed in audit/ with the commit they ran at, and the badges above say whether each still holds for the code on main. The checks whose length is known beforehand (deny, vet, geiger, coverage and the fuzzing), and Miri, which takes minutes, run again on GitHub at each release; Kani is run by hand. How to run them, and what each covers, is in SECURITY.md; the dependencies are in SUPPLY_CHAIN.md.

• Review against a threat model. Text in every layer, from any bytes; secrets in what is shown, in the messages of errors and in Python's exceptions; persist writing files that other users of the machine can reach (permissions, links, a file half written) and several writers at once; ${NAME} making a small file's values huge. What was found is fixed, or written down with what it leaves open, in SECURITY.md.

• unsafe code. None in either crate of this project, which #![forbid(unsafe_code)]; the dependencies' is counted by cargo geiger, and PyO3, which calls Python's C API, has most of it.

• Dependencies. 29 crates, from crates.io only, checked by cargo deny for known vulnerabilities, unmaintained or yanked crates, licenses and sources. In cargo vet, 3 are covered by audits imported from other organisations and the other 26 by the maintainer's own certification, none exempted. They are not vendored: this is a library, and Cargo.lock pins every version and checksum.

• Miri. The 45 tests of the Rust library (the layers, persist, env-style files, the readers of text) run under Miri without undefined behaviour; not the binding, which calls Python's C API.

• Fuzzing. Three targets, an hour each on a workstation and four hours each at a release: envfile (statements in order inside the text, values written by persist read back the same), numbers (integers and floats written so that they read back the same, digits beyond ASCII included, strip idempotent, list items without commas or whitespace around them) and config (reading defaults and every setting's get, shown, path and set without a panic).

• Kani. 13 proofs: for every input up to 6 bytes, whatever the characters beyond ASCII are taken for, UTF-8 is decoded as the standard library does, whitespace is stripped only between characters, integers and booleans are read without panic or overflow, and lists are cut at their commas and nowhere else; for every ASCII input up to 6 bytes, whitespace is stripped once and for all and integers are read as str::parse reads them; and integers of 21 bytes are read exactly at the edges of 64 bits. Each proof ran alone, compiled before, on 2026-11-05 at 1466eab, on an AMD Ryzen 9 5950X with 32 GB:

  Proof	Time	Peak memory
  decode_past_the_end_is_no_character	1 s	95 MiB
  decode_reads_utf8_as_the_standard_library_does	56 s	1.3 GiB
  parse_bool_does_not_panic	19 s	614 MiB
  parse_int_does_not_panic_or_overflow	43 s	1.3 GiB
  parse_int_is_exact_at_the_largest_i64	19 min 0 s	9.6 GiB
  parse_int_is_exact_at_the_smallest_i64	16 min 13 s	9.6 GiB
  parse_int_is_exact_past_u64	14 min 28 s	9.6 GiB
  parse_int_is_exact_past_u64_negative	14 min 19 s	9.6 GiB
  parse_int_reads_plain_numbers_as_the_standard_library_does	59 s	2.2 GiB
  space_at_stays_in_the_text	1 s	103 MiB
  split_list_cuts_at_the_commas_and_nowhere_else	53 s	2.1 GiB
  strip_str_cuts_at_the_boundaries_of_characters	23 s	1.1 GiB
  strip_takes_whitespace_off_once_and_for_all	19 s	1.0 GiB

• Branch coverage. The Rust tests take 85.81 % of the 310 branches of the Rust code, 90.48 % of the library's 294 (audit/coverage/summary.txt); the binding's 16 are left to the Python tests.

• Two reviews. Every change went through a code review, and the most sensitive code (the reader of env-style files, persist, the masking of secrets) was read whole by separate reviewers who were given the threat model, not the findings.

What this shows: this project's own code has no memory errors, being Rust without unsafe (unless the compiler or a dependency's unsafe code is wrong), and none of the checks above found a panic, an overflow or undefined behaviour. What it does not: Rust does not rule out mistakes of logic; the dependencies' unsafe code is left to them and their audits; Kani proves only the inputs within its bounds, and fuzzing tries only some. Not proved, and covered by the tests and the fuzzing alone: which characters beyond ASCII are whitespace or digits (the running Python's, which the Python tests compare for every digit and whitespace character it has), parse_float, the reader of env-style files, and what is above the readers of text (the layers, persist).

Prerequisites

• Python 3.10 or later for the Python package, Rust 1.88 or later for the crate
• To build from source and run the tests:
  • rustup, which installs the Rust version rust-toolchain.toml pins (1.99.1) when it is first needed
  • pixi, which brings the rest into the environment of this directory:
    • maturin ≥1.9
    • Python 3.12, for the binding and its tests

Installation

From PyPI (Recommended)

pip install layeredcfg

The wheels are for Linux (x86_64 and aarch64, glibc and musl), one for every Python from 3.10. Elsewhere (macOS) pip builds the package from its source distribution, which needs Rust 1.88 or later.

From crates.io

cargo add layeredcfg

Building from Source

1. Clone the repository:

   git clone https://github.com/lutianyu2001/layeredcfg.git
   cd layeredcfg
   

2. Build the wheel, into dist/:

   pixi run wheel
   

3. Install it into your Python:

   pip install dist/layeredcfg-*.whl
   

For the crate from this repository instead of crates.io, depend on crates/layeredcfg by its path or by this repository's git URL.

The files published to PyPI, the source distribution and the wheels of every platform, are built from a release's tag with pixi run release-files <tag>, into dist/; it needs zig, the Rust targets of the wheels (rustup target add) and cargo-about 0.9.3, which collects the license texts of the crates compiled into the wheels into each of them. It fails if a file names a path of the machine that built it, or lacks those license texts.

Usage

Python

from layeredcfg import Config, find_upward

config = Config(
    "defaults.toml",
    prefix="APP_",
    files=[find_upward(".env.local"), "/srv/app/.env.local"],  # a later file wins
    root="/srv/app",                    # what a relative path is relative to
    file_only={"log.max_dir_size_mib"}, # not to be overridden on the command line
    persisted={"subagent.timeout_minutes"},
    secret={"notify.token"},
)

config.server.port                   # 8420, an int, as the default is
config.get("server.port")
config.set("server.port", "8421")    # an override, converted at once
config.path("data.dir")              # ~ expanded, a relative path joined to the root
config.source("server.port")         # "override", "env", "file" or "default"
config.shown("notify.token")         # "***" when it has a value
config.problems()                    # every value of the environment and the files that does not convert
config.persist("subagent.timeout_minutes", 45)  # written into the file for good, in force at once

The errors are Python's kinds too: UnknownKey is a KeyError, InvalidValue and FileOnlyKey are ValueErrors, NotPersisted is a KeyError, all of them ConfigErrors; an unknown attribute is an AttributeError. Their messages are templates a program can replace with its own words (messages=, see layeredcfg.MESSAGES).

The environment is os.environ (or the mapping given as environ=), read when a value is asked for: a variable set by Python code holds at once. The files' values are read into the configuration only, never into the process's environment, which every program the process starts would inherit, and persist does not change the environment either (see Env-Style Files).

Rust

use layeredcfg::{Config, Options, Value};

fn main() -> Result<(), layeredcfg::Error> {
    let options = Options {
        prefix: "APP_".to_owned(),
        files: vec!["/srv/app/.env.local".into()],
        ..Options::default()
    };
    let mut config = Config::load("defaults.toml", options)?;
    let Value::Int(port) = config.get("server.port")? else { unreachable!() };
    config.set("server.port", "8421")?;
    println!("{port}");
    Ok(())
}

Values are a layeredcfg::Value (Bool, Int, Float, Str, List); what a caller gives is a Raw, which text (&str, String, OsString), the other types and a Value convert into. Text from the environment and the files is an OsString, which need not be UTF-8. Failures are a layeredcfg::Error, whose kind() says which. The environment is the process's unless Options::environment gives another (Environment::new), and it is only ever read. TOML is read with the toml crate.

What the Layers Take

Default's type	A value as text
boolean	1, true, yes, on; 0, false, no, off or nothing (any case)
integer	as Python's int(): whitespace around, a sign, digits, underscores between digits
float	as Python's float(): as for an integer, and a point, an exponent, inf, nan
string	as it is
list of strings	comma-separated, each item stripped, empty ones left out

Text must be UTF-8 (a value that is not is an invalid value). Digits and whitespace are Python's, beyond ASCII too: ８４２０ is 8420, as it is for int(), and a no-break space or an ideographic space (U+3000) is whitespace, in values and in the files alike. Beyond ASCII, the binding asks the running Python (str.isspace(), unicodedata.decimal()), so the one wheel of each platform reads text with the Unicode version of whichever Python runs it. In Rust, whitespace beyond ASCII is Unicode's (char::is_whitespace, the same characters) and there is no digit beyond ASCII, as for str::parse, unless text::set_beyond_ascii says otherwise. A value given from Python that is not text is converted as Python converts it (int(), float(), bool(), str(), list()), a Decimal or None included. A TOML default of another type (a date, a list of numbers) is refused when the file is read: no other layer could write it. Floats are written back as Python writes them (45.0, 1e+16), so a binding behaves as Python code did.

Env-Style Files

NAME=value lines, as python-dotenv reads them for the most part: comments, export , unquoted values (a # after whitespace begins a comment, so NAME= # note is empty), 'single-quoted' values taken as they are, "double-quoted" ones with escapes, quoted values over several lines, and ${NAME} or ${NAME:-default} in unquoted and double-quoted values (the file's own earlier value, else the environment's; single quotes keep them as they are, where python-dotenv expands them). A byte order mark and \r\n or \r line ends are read too. Whitespace is Python's here as well, as it is for python-dotenv's \s: an ideographic space before a # begins a comment as a space does.

Write names without quotes. A quoted name ('NAME'=value, which python-dotenv reads as NAME) is not standard, and this library does not read it and is not going to: the quotes are part of the name here, which no setting has, so the line does nothing, and nothing says so.

persist replaces the setting's assignment (an export before it allowed, all the lines of a quoted value), drops later ones of the same name, keeps every other byte as it was, and puts the file in place at once, with its permissions (0600 for a new one) from the moment it is written; a symbolic link stays and its target is written. Processes writing at the same time do not corrupt the file, but the last one's file is what stays. What the configuration reads changes with it, unless a file read after the written one sets the same name. Where the environment has the variable, which wins over the files, the configuration takes the written value instead whenever the environment has the value it had when persist wrote (set it to another value and that one is read); the environment itself is not changed, so other code in the process and the programs it starts still see the old value. A quote in the file that is never closed makes the reader leave its line out; when the value written has that quote, which would close it and take in the lines between, persist refuses with an error and leaves the file as it was.

Testing

Command	Description
pixi run test	The Rust tests and the Python tests
pixi run test-rust	The Rust tests
pixi run test-python	Builds and installs the wheel, then runs the Python tests
pixi run lint	rustfmt and clippy

Compatibility

POSIX only for now (Linux, macOS).

Tested on:

• Ubuntu 24.04.4 LTS (x86_64)
  • Rust 1.99.1
  • Python 3.12.15, and the manylinux wheel on Python 3.15.0
  • maturin 1.15.0
  • PyO3 0.30.1
  • toml 1.1.8

License

Copyright 2026 Tianyu (Sky) Lu

The entire repository is licensed under the Apache License, Version 2.0 (the "License"); you may not use any file in this repository except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Author

Tianyu (Sky) Lu