I'm using cerberus to validate data. One of my fields is optional - it doesn't need to be present for every item. However, the key must be populated at least once across the entire data array.
As an example, say I want to validate the key 'c'
occurs in at least one dictionary in my data list:
from cerberus import Validator
has_c = {'data': [{'a': 1, 'b': 2}, {'b': 2}, {'c': 3}]}
no_c = {'data': [{'a': 1, 'b': 2}, {'a': 1}]}
schema = {'data':
{'type': 'list',
'schema': {
'type': 'dict',
'schema': {
'a': {'required': True},
'b': {'required': True},
'c': {'required': False, 'at_least_one': True}
}
}
}
}
class MyValidator(Validator) # Some fancy code...
....
v = MyValidator()
v.validate(has_c, schema) # Passes
v.validate(no_c, schema) # Fails
This seems doable outside of cerberus, but I'd like to keep the method in my validator if possible.
If you want the method to be in the Validator subclass, then you will want to create a custom rule just like you were thinking.
from cerberus import Validator
test_with_c = {'data': [{'a': 1, 'b': 2}, {'b': 2}, {'c': 3}]}
test_with_no_c = {'data': [{'a': 1, 'b': 2}, {'a': 1}]}
class MyValidator(Validator):
def _validate_has_c(self, has_c, field, value):
seen_c = False
for v in value:
if "c" in v:
seen_c = True
if has_c and not seen_c:
self._error(field, "Must contain a 'c' key")
schema = {
"data": {
"type": "list",
"has_c": True
}
}
v = MyValidator(schema)
print(v(test_with_c), v.errors)
print(v(test_with_no_c), v.errors)
Running this will yield the results you want with respect to looking for a c
key in one of the elements. Running that code yields
True {}
False {'data': ["Must contain a 'c' key"]}