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Description:

reclassrs 0.4.0

reclass-rs: A Reclass implementation in Rust
Reclass is a library which defines a syntax and directory structure for recursively merging YAML data sources.
This repository contains a Rust implementation of Reclass which is based on the Reclass fork maintained by kapicorp.
The Reclass implementation provided in this repository can be used both from other Rust programs and in Python programs.
The reclass-rs Python module is implemented directly in Rust with PyO3.
Please note that this implementation doesn't yet support all the features and extensions which are available in Kapitan Reclass.
However, for features which are implemented, we aim to be compatible with Kapitan Reclass.
The implementation currently supports the following features of Kapicorp Reclass:

The Reclass options nodes_path and classes_path
The Reclass option ignore_class_notfound
The Reclass option ignore_class_notfound_regexp
Escaped parameter references
Merging referenced lists and dictionaries
Constant parameters
Nested references
References in class names
Loading classes with relative names
Loading Reclass configuration options from reclass-config.yaml
The Reclass option componse_node_name

reclass-rs provides a non-compatible mode for compose_node_name which preserves literal dots in node names

The following Kapicorp Reclass features aren't supported:

Ignoring overwritten missing references
Inventory Queries
The Reclass option allow_none_override can't be set to False
The Reclass yaml_git and mixed storage types
Any Reclass option which is not mentioned explicitly here or above

Documentation for the original Reclass can be found at https://reclass.pantsfullofunix.net/.
Documentation on Reclass extensions introduced in the Kapicorp Reclass fork can be found at https://github.com/kapicorp/reclass/blob/develop/README-extensions.rst.
Prerequisites

Python >= 3.8
Rust >= 1.56 (we recommend installing the latest stable toolchain with rustup)

Setup local development environment for Python bindings

Create a local virtualenv for running Python tests and install maturin and pytest

python -m venv .venv
source .venv/bin/activate
pip install maturin pytest

Build the reclass-rs Python library and install it in the virtualenv

maturin develop

Run Python tests

pytest

Rust development
You should be able to run the Rust tests through Cargo if you have the Rust toolchain setup:
cargo test

Linting and formatting

Use cargo fmt to format code
Use cargo check for checking that the code compiles
Use cargo clippy to check for code issues

Benchmarks
You can run benchmarks for Reclass::render_inventory() with
cargo bench -F bench

The benchmarks are implemented with criterion.
Testing reclass-rs in Kapitan
If you're using Kapitan, you can test reclass-rs by installing reclass-rs in your Kapitan virtualenv:

Install reclass-rs in your Kapitan virtualenv

KAPITAN_VENV=/path/to/your/kapitan/virtualenv
source ${KAPITAN_VENV}/bin/activate
pip install reclass-rs

Patch the Kapitan package in the virtualenv with the following command

patch -p1 -d $KAPITAN_VENV < hack/kapitan_0.32_reclass_rs.patch

Please note that we've only tested the patch against the Kapitan 0.32 release as published on PyPI.
Automated package version management
We generate the package version of reclass-rs from the latest Git tag when building Python wheels.
To ensure this always works, we keep the version in the committed Cargo.toml as 0.0.0.
We generate the package version from Git by calling git describe --tags --always --match=v*.
This command produces something like v0.1.1-61-g531ca91.
We always strip the leading v, since neither Cargo nor maturin support versions with leading v.
If we're building a branch or PR, we discard the component derived from the commit hash.
For the example output above, the package version for a branch or PR build will become 0.1.1.post61.
For tag builds, the command ouptut will be just the tag, so the package version will match the tag.
The version is injected with cargo-edit's cargo set-version before the Python wheels are built.
See the "Python" workflow for more details.