valohai-yaml 0.56.0

Valohai.yaml validation and parsing

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
make dev

# run linting and type checks
make lint

# run tests
make test

Snapshots

Update syrupy snapshots after making changes to the examples.

pytest --snapshot-update