A lightweight YAML utility library with validation support using Cerberus, designed for simplicity and composability in structured Python projects.
Overview
darca-yaml provides utilities for:
📖 Loading and saving YAML files
✅ Validating YAML content with Cerberus
🔗 Integrated exception handling (darca-exception)
📄 File handling via darca-file-utils
🧪 100% test coverage with Pytest and CI integration
Installation
pip install darca-yaml
Usage
from darca_yaml.yaml_utils import YamlUtils
schema = {"name": {"type": "string"}, "enabled": {"type": "boolean"}}
data = YamlUtils.load_yaml_file("config.yaml")
YamlUtils.validate_yaml(data, schema)
YamlUtils.save_yaml_file("output.yaml", data, validate=True, schema=schema)
Development Setup
Clone the repo and install dependencies:
git clone https://github.com/roelkist/darca-yaml
cd darca-yaml
make install
Run checks before committing:
make check
Run individual targets (faster iteration):
make format
make test
make precommit
make docs
Contribution Guide
We welcome contributions via pull requests to main. Please see the CONTRIBUTING.rst file for detailed instructions.
License
MIT
Release files for darca-yaml 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| darca_yaml-0.2.0.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| darca_yaml-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 kB
Release files / darca_yaml-0.2.0.tar.gz
| Download URL | darca_yaml-0.2.0.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
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| Tags | Python 3 |
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