request_validator

Python Request(json) Validator

how to install

pip install request_validator

How to use

Imaging you have a json response that get from rest api server and you must validate response.

sample:

from request_validator.serializers import *
from request_validator.fields import *


class GlossDefSerializer(BaseSerializer):
    para = CharField()
    gloss_see_also = CharField(many=True, source="GlossSeeAlso")


class GlossEntrySerializer(BaseSerializer):
    id = IntField(source="ID")
    sort_as = CharField(source="SortAs")
    gloss_term = CharField(source="GlossTerm")
    acronym = CharField(source="Acronym")
    abbrev = CharField(source="Abbrev", required=True, allow_blank=False)
    gloss_def = GlossDefSerializer(source="GlossDef")
    gloss_see = CharField(source="GlossSee")


class GlossListSerializer(BaseSerializer):
    gloss_entry = GlossEntrySerializer(source="GlossEntry")


class GlossDivSerializer(BaseSerializer):
    title = CharField()
    gloss_list = GlossListSerializer(source="GlossList")


class GlossarySerializer(BaseSerializer):
    title = CharField()
    gloss_div = GlossDivSerializer(source="GlossDiv")


class SampleSerializer(BaseSerializer):
    glossary = GlossarySerializer()


sample_data = {
    "glossary": {
        "title": "example glossary",
        "GlossDiv": {
            "title": "S",
            "GlossList": {
                "GlossEntry": {
                    "ID": 12,
                    "SortAs": "SGML",
                    "GlossTerm": "Standard Generalized Markup Language",
                    "Acronym": "SGML",
                    "Abbrev": "",
                    "GlossDef": {
                        "para": "A meta-markup language, used to create markup languages such as DocBook.",
                        "GlossSeeAlso": ["GML", "XML"]
                    },
                    "GlossSee": "markup"
                }
            }
        }
    }
}


validator = SampleSerializer(data=sample_data)
print('validation status:')
print(validator.is_valid())
print("\nvalidation errors:")
print(validator.get_errors())
print("\nvalidated data:")
print(validator.validate_data())

The above sample output:

validation status:
False

validation errors:
{'glossary': {'gloss_div': {'gloss_list': {'gloss_entry': {'abbrev': ['This field cannot be blank']}}}}}

validated data:
{'glossary': {'title': 'example glossary', 'gloss_div': {'title': 'S', 'gloss_list': {'gloss_entry': {'acronym': 'SGML', 'gloss_term': 'Standard Generalized Markup Language', 'gloss_def': {'gloss_see_also': ['GML', 'XML'], 'para': 'A meta-markup language, used to create markup languages such as DocBook.'}, 'gloss_see': 'markup', 'sort_as': 'SGML', 'id': 12}}}}}