| Name | valida JSON |
| Version |
0.7.1
JSON |
| download |
| home_page | |
| Summary | Comprehensive validation library for nested data structures. |
| upload_time | 2023-07-03 13:56:28 |
| maintainer | |
| docs_url | None |
| author | Adam J. Plowman |
| requires_python | >=3.8,<4.0.0 |
| license | MIT |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<img src="valida.png" width="200" alt="Valida logo"/>
**Validation for nested data structures**
[](https://pypi.org/project/valida)
[](https://pypi.org/project/valida)
[](https://github.com/hpcflow/valida/blob/main/LICENSE)
[](https://zenodo.org/badge/latestdoi/446597552)
## Installing
`pip install valida`
## A simple example
```python
from valida import Data, Value, Rule
# Define some data that we want to validate:
my_data = Data({'A': 1, 'B': [1, 2, 3], 'C': {'c1': 8.2, 'c2': 'hello'}})
# Define a rule as a path within the data and a condition at that path:
rule = Rule(
path=('C', 'c2'),
condition=Value.dtype.equal_to(str),
)
# Test the rule
rule.test(my_data).is_valid # `True` => The rule tested successfully
```
## Acknowledgements
Valida was developed using funding from the [LightForm](https://lightform.org.uk/) EPSRC programme grant ([EP/R001715/1](https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/R001715/1))
<img src="https://lightform-group.github.io/wiki/assets/images/site/lightform-logo.png" width="150"/>
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