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.
pip install valohai-yamlProgrammatic 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 okfrom valohai_yaml import parse
with open('path/to/valohai.yaml') as f:
config = parse(f)
print(config.steps['cool step'].command)# setup development dependencies
make dev
# run linting and type checks
make lint
# run tests
make test