Kaizo
Kaizo is a declarative YAML-based configuration parser for Python. It allows you to dynamically load, resolve, and execute Python objects, functions, and plugins from YAML configuration files.
Key features:
- Cross-file imports
- Lazy execution
- Result caching
- Plugin dispatch
- Variable references
- Local Python module support
Installation
Install Kaizo via pip:
pip install kaizo
Or install from source:
git clone https://github.com/NaughtFound/kaizo.git
cd kaizo
pip install -e .
Requirements:
- Python 3.12+
- PyYAML
Quick Start
Create a simple configuration file hello.yaml:
hello:
module: builtins
source: print
args:
- "Hello Kaizo"
Load and execute it:
from kaizo import ConfigParser
parser = ConfigParser("hello.yaml")
config = parser.parse()
# Accessing the entry automatically resolves and executes it
config["hello"] # Outputs: Hello Kaizo
Documentation
Full documentation, including configuration, parser architecture, plugins, and utilities, is available in the docs:
Contributing
Contributions are welcome! Please submit issues or pull requests via GitHub.
License
1 maintainer
Metadata
1 maintainer
Release files for kaizo 1.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kaizo-1.7.0.tar.gz | 16.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kaizo-1.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.1 kB
Release files / kaizo-1.7.0.tar.gz
| Download URL | kaizo-1.7.0.tar.gz |
|---|---|
| Size | 16.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
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Transparency logRelease files / kaizo-1.7.0-py3-none-any.whl
| Download URL | kaizo-1.7.0-py3-none-any.whl |
|---|---|
| Size | 14.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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