Cerberus alternative
Project description
# Sureberus
This is an implementation of the [Cerberus](https://github.com/pyeve/cerberus/)
schema format. It doesn't implement all of the features of that library, and
where it does implement a feature it doesn't always implement it in the exact
same way.
The main reason it exists is to support some of the things that Cerberus doesn't
do
## normalization inside of *of-rules
The primary important difference is that you can use sureberus if you want to
use `default` or `coerce` inside of a
[*of-rule](http://docs.python-cerberus.org/en/stable/validation-rules.html#of-rules).
## Nullable in the face of *of-rules
Sureberus allows you to use `nullable` even if you have `*of-rules` that have
`type` constraints. A nullable schema always allows `None`.
## A slightly nicer schema syntax
If you want to construct a schema from Python code instead of storing it as
JSON, sureberus provides a more terse syntax for it:
Here's a standard dict-based schema, using an 80-character limit and strict
newline/indent-based line wrapping:
```python
myschema = {
'type': 'dict',
'anyof': [
{'schema': {'gradient': {'type': 'string'}}},
{
'schema': {
'image': {'type': 'string'},
'opacity': {'type': 'integer', 'default': 100},
}
},
],
}
```
And here is a `sureberus.schema`-based schema, using the same line-wrapping
rules:
```python
from sureberus.schema import Dict, SubSchema, String, Integer
myschema = Dict(
anyof=[
SubSchema(gradient=String()),
SubSchema(image=String(), opacity=Integer(default=100))
]
)
```
This is an implementation of the [Cerberus](https://github.com/pyeve/cerberus/)
schema format. It doesn't implement all of the features of that library, and
where it does implement a feature it doesn't always implement it in the exact
same way.
The main reason it exists is to support some of the things that Cerberus doesn't
do
## normalization inside of *of-rules
The primary important difference is that you can use sureberus if you want to
use `default` or `coerce` inside of a
[*of-rule](http://docs.python-cerberus.org/en/stable/validation-rules.html#of-rules).
## Nullable in the face of *of-rules
Sureberus allows you to use `nullable` even if you have `*of-rules` that have
`type` constraints. A nullable schema always allows `None`.
## A slightly nicer schema syntax
If you want to construct a schema from Python code instead of storing it as
JSON, sureberus provides a more terse syntax for it:
Here's a standard dict-based schema, using an 80-character limit and strict
newline/indent-based line wrapping:
```python
myschema = {
'type': 'dict',
'anyof': [
{'schema': {'gradient': {'type': 'string'}}},
{
'schema': {
'image': {'type': 'string'},
'opacity': {'type': 'integer', 'default': 100},
}
},
],
}
```
And here is a `sureberus.schema`-based schema, using the same line-wrapping
rules:
```python
from sureberus.schema import Dict, SubSchema, String, Integer
myschema = Dict(
anyof=[
SubSchema(gradient=String()),
SubSchema(image=String(), opacity=Integer(default=100))
]
)
```
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