typeschemalib 1.0

A yaml like schema that can be used to check dictionaries for correct schema

typeschemalib

A yaml like schema that can be used to check dictionaries for correct schema

Schema file

schema example

point: Int
my_string: Str
grade: Float

data example

{"point": 45, "my_string": "Hey", "grade": 4.5}

Checking data for correct schema

Test parse with stml file

from typeschemalib import typeschemalib
from termcolor import colored


schema_file = "test.stml"
data = {"point": 45, "my_string": "Hey", "grade": 4.5}

lines = typeschemalib.StmlReader(schema_file).lines
schema_dict = typeschemalib.StmlParser(lines).schema_dict

dataChecker = typeschemalib.DataChecker(schema_dict, data)
valid = dataChecker.check_type()
if valid is True:
	print(colored(valid, 'green'))
else:
	print(colored(valid, 'red'))

Test parse with schema dictionary

from typeschemalib import typeschemalib
from termcolor import colored


data = {"point": 45, "my_string": "Hey", "grade": 4.5}
schema = {"point": "Int", "my_string": "Str", "grade": "Float"}

schema_dict = typeschemalib.StmlParser(lines).schema_dict
dataChecker = typeschemalib.DataChecker(schema, data)

valid = dataChecker.check_type()
if valid is True:
	print(colored(valid, 'green'))
else:
	print(colored(valid, 'red'))

Todo

Make schema have regex Make schema have functions or options to validate data