A demonstration of datetime validation and parsing in Python using Pydantic library. The code should be run as-is. You can make changes to the pydantic model if you'd like to see how it works.

datetime_validation_with_pydantic_model.py

from pydantic import BaseModel
from datetime import datetime
import time

class Model(BaseModel):
    a: datetime
    b : datetime
    c : datetime
    d : datetime
      

m = Model(
    a = datetime.utcnow(), # Timezone unaware datetime objects
    b = "2020-12-02 12:40:20.109784", # Datetime strings
    c = time.time(), # Unix timestamps
    d = '2021-03-04T10:28:50.809289+00:00' # ISO date time format strings
)

print(m.dict())
'''
{'a': datetime.datetime(2021, 3, 15, 10, 25, 52, 222624),
 'b': datetime.datetime(2020, 12, 2, 12, 40, 20, 109784),
 'c': datetime.datetime(2021, 3, 15, 10, 25, 52, 222630, tzinfo=datetime.timezone.utc),
 'd': datetime.datetime(2021, 3, 4, 10, 28, 50, 809289, tzinfo=datetime.timezone.utc)}
'''

print(m.json())
'''
{"a": "2021-03-15T10:25:52.222624", 
"b": "2020-12-02T12:40:20.109784", 
"c": "2021-03-15T10:25:52.222630+00:00", 
"d": "2021-03-04T10:28:50.809289+00:00"}
'''

# Alternatively you can also parse each objects seperately from the class. These will be JSON serialized by default.
print(m.a)
print(m.b)
print(m.c)
print(m.d)

# For more validation methods an about Pydantic, read their docs, https://pydantic-docs.helpmanual.io/