Validata

Validata = Validate + Data.

A data validator library used to detect invalid data with error informations, based on MongoEngine, so every complex data structure or validation crieria are all accepted.

The Validator contains two parts, one is data type validation, another is data bussiness validation.

Usage

from validata import *
import arrow

def current_ek_validation(v1):
    is_valid = True
    if ("id" in v1) and (not isinstance(v1['id'], int)):
        is_valid = False
    if ("name" not in v1) or (not isinstance(v1['name'], basestring)):
        is_valid = False
    return is_valid


class TeacherAssignHomeworkLogValidator(Validator):
    # v1 is original raw data
    cids            = ListField(IntField(validation=lambda v1: v1 > 0),                  required=True)
    client          = StringField(choices=["web"],                                       required=True)
    create_time     = DateTimeField(validation=lambda v1: arrow.get(v1) < arrow.now(),   required=True)
    current_eid     = ObjectIdField(                                                     required=True)
    current_ek      = DictField(validation=current_ek_validation,                        required=True)
    current_page    = IntField(validation=lambda v1: 0 < v1 < 10000,                     required=True)
    exam_type       = StringField(choices=["homework", "quiz"],                          required=True)
    op_type         = StringField(choices=[
                                    "modify_time",
                                    "ek_click", "eid_page", "eid_add", "eid_del", "confirm_assign",
                                    "check_main",
                                   ],                                                    required=True)
    session         = StringField(validation=lambda v1: True,                            required=True)
    subject         = StringField(choices=["ENGLISH", "MATH"],                           required=True)
    tid             = IntField(validation=lambda v1: v1 > 0,                             required=True)



    example_data = {"cids": [263531], "client": "web", "create_time": "2015-03-01T15:57:37", "current_eid": "51da5a17a3107ec3c2109984", "current_ek": {"id": 1032000082, "name": "[eɪ]ai"}, "current_page": 1, "exam_type": "homework", "op_type": "eid_del", "session": "1491415english1425225216344", "subject": "ENGLISH", "tid": 1491415}
    error_data   = {"cids": [263531], "client": "web", "create_time": "2015-03-01T15:57:37", "current_eid": "51da5a17a3107ec3c2109984", "current_ek": {"id": 1032000082, "name": None}, "current_page": -3, "exam_type": "homework1", "op_type": "eid_del", "session": "__1491415english1425225216344", "subject": "ENGLISH", "_tid": 1491415}



result1 = TeacherAssignHomeworkLogValidator.do( TeacherAssignHomeworkLogValidator.example_data )
result1.success # => True
result1.errors  # => dict()


result2 = TeacherAssignHomeworkLogValidator.do( TeacherAssignHomeworkLogValidator.error_data   )
result2.success             # => False
result2.json()['errors']    # => {
                                    "current_ek": "Value does not match custom validation method",
                                    "tid": "Field is required",
                                    "current_page": "Value does not match custom validation method",
                                    "exam_type": "Value must be one of ['homework', 'quiz']"
                                  }

INSTALL

python setup.py install

Run tests

./tests/run.sh

License

MIT. David Chen @ 17zuoye.