Fast Python JSON schema validation and normalization
v = Validator({
'User': {
'items': {
'name': {'coerce': 'str'},
'gender': {
'map': {
'woman': 'female',
'man': 'male',
None: 'other' # Map everything else
},
'synonyms': ['sex']
},
'country': {
'default': '{GEOIP2_COUNTRY}'
}
}
}
})
args = {'GEOIP2_COUNTRY': 'UK'}
v['User']({
'name': 123,
'sex': 'woman'
}, args)
# Returns:
#
# ({
# 'name': '123',
# 'gender': 'female',
# 'country': 'UK'
# },
# None) # Error descriptionPycoercer was created to meet the actual production needs for web apps development - inspired by jsonschema and Cerberus, it also implements additional features: - Can validate, normalize (or coerce) dicts and lists - Fast - the schema is compiled into python code - Clean rules system with a predictable order of execution - Parametric default and if_null values - Keywords for data coercion: synonyms, map, and post_coerce - Check examples against the schema definition
$ pip install pycoercerComplete documentation will be [sometime][docs]
$ pytest