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.
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']"
}python setup.py install./tests/run.shMIT. David Chen @ 17zuoye.