Valohai.yaml validation and parsing
Project description
valohai-yaml
Parses and validates valohai.yaml files.
Valohai YAML files are used to define how your machine learning project workloads and pipelines are ran on the Valohai ecosystem. Refer to Valohai Documentation to learn how to write the actual YAML files and for more in-depth usage examples.
Installation
pip install valohai-yaml
Usage
Validation
Programmatic usage:
from valohai_yaml import validate, ValidationErrors
try:
with open('path/to/valohai.yaml') as f:
validate(f)
except ValidationErrors as errors:
print('oh no!')
for err in errors:
print(err)
Command-line usage:
valohai-yaml my_yaml.yaml
echo $? # 1 if errors, 0 if ok
Parsing
from valohai_yaml import parse
with open('path/to/valohai.yaml') as f:
config = parse(f)
print(config.steps['cool step'].command)
Development
# setup development dependencies
pip install -e . -r requirements-test.txt pre-commit
pre-commit install
# run linting and type checks
pre-commit run --all-files
# run tests
pytest
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