Date validation consisting of three integers in Django

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Date validation consisting of three integers in Django

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#1 by (2 votes)

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In my application I am getting the day, month and year from the user, the three fields are part of a form and are IntegerField . I do not want to use DateField because the user has the options to inform:

Year;

Year and month;

Year, month and day;

My idea is, after the user has informed the data, validate them by calling the function valida_data (created by me):

erro = form.valida_data()

Function valida_data created in form :

def valida_data(self):
   if self.fields['mes'] == 2 or 4 or 5 or 6:
      pass

But there is an error, because I am comparing a IntegerField with a int() .

Can you help me set up the day, month, and year validation function? Do you know another way to perform validation?

data python-3.x django-2.0

asked by anonymous 22.11.2018 / 11:38

1 answer

What is the best way to add a static method to an existing C # class? Jquery validate with type button

score 2 · Accepted Answer

Do you want to check if the date entered is valid or not? Use the datetime module that knows how to do it chorematically:

# -*- coding: utf-8 -*-
from __future__ import print_function
from datetime import date

def valida_data(ano, mes=1, dia=1):
    """ Valida uma data qualquer, recebe 'dia', 'mes' e 'ano' e devolve
    'True' se a data for válida ou 'False' em caso contrário. """
    try:
        __ = date(ano, mes, dia)
        return True

    except ValueError:
        return False

This is the test routine, to check the possible values.

def test_valida_data():
    """ Rotina de teste, verifica a função 'valida_data()'. """
    # data válida
    assert valida_data(1980, 10, 12) == True
    # data inválida
    assert valida_data(1982, 2 , 31) == False
    # apenas mês e ano
    assert valida_data(1950, 6) == True
    # data inválida apenas com mês e ano
    assert valida_data(1994, 13) == False
    # apenas o ano
    assert valida_data(1973) == True

This routine can be called manually with print(test_valida_data() == None) (should return True or generate a AssertionError exception) or pytest with pytest valida_data.py .