| Name | valohai-yaml JSON |
| Version |
0.49.0
JSON |
| download |
| home_page | None |
| Summary | Valohai.yaml validation and parsing |
| upload_time | 2025-09-04 06:24:37 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | None |
| keywords |
strings
utility
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
# valohai-yaml
[](https://github.com/valohai/valohai-yaml/actions/workflows/ci.yml)
[](https://codecov.io/gh/valohai/valohai-yaml)
[](https://opensource.org/licenses/MIT)
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](https://valohai.com/) ecosystem. Refer to [Valohai Documentation](https://docs.valohai.com/) to learn how to write the actual YAML files and for more in-depth usage examples.
## Installation
```bash
pip install valohai-yaml
```
## Usage
### Validation
Programmatic usage:
```python
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:
```bash
valohai-yaml my_yaml.yaml
echo $? # 1 if errors, 0 if ok
```
### Parsing
```python
from valohai_yaml import parse
with open('path/to/valohai.yaml') as f:
config = parse(f)
print(config.steps['cool step'].command)
```
# Development
```bash
# setup development dependencies
make dev
# run linting and type checks
make lint
# run tests
make test
```
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