Skip to main content

A collection of string-based validation functions, suitable for use in other Python 2 and 3 applications.

Project description

# pysimplevalidate

A collection of string-based validation functions, suitable for use in other Python 2 and 3 applications.

Pass a string to these validation functions, which raise ValidationException if validation fails. Otherwise they return a platonic value of the validated string (i.e. the validateInt(‘42’) returns the int 42).

Installation

pip install pysimplevalidate

Example Usage

>>> import pysimplevalidate as pysv
>>> pysv.validateStr('    hello    ')
'hello'
>>> pysv.validateStr('    hello    ', strip=None)
'    hello    '
>>> pysv.validateStr('xxxhelloxxx', strip='x')
'hello'
>>> pysv.validateStr('howdy', blacklistRegexes=['^h\w+$'])
Traceback (most recent call last):
  ...
pysimplevalidate.ValidationException: This response is invalid.
>>> pysv.validateStr('howdy', whitelistRegexes=['^howdy$'], blacklistRegexes=['^h\w+$'])
'howdy'
>>> pysv.validateStr('')
Traceback (most recent call last):
  ...
pysimplevalidate.ValidationException: Blank values are not allowed.
>>> pysv.validateStr('', blank=True)
''
>>> pysv.validateNum(4)
4
>>> pysv.validateNum('four')
Traceback (most recent call last):
    ...
pysimplevalidate.ValidationException: 'four' is not a number.
>>> pysv.validateNum(4, min=2, max=4)
4
>>> pysv.validateNum(4, greaterThan=2, lessThan=4)
Traceback (most recent call last):
    ...
pysimplevalidate.ValidationException: Input must be less than 4.
>>> pysv.validateInt(4.0)
4
>>> pysv.validateFloat(3)
3.0
>>> pysv.validateChoice('Cat', ('42', 'cat', 'dog'))
'cat'
>>> pysv.validateChoice('cat', ['42', 'cat', 'dog'], lettered=True, caseSensitive=True)
'cat'
>>> pysv.validateChoice('C', ['42', 'cat', 'dog'], lettered=True)
'dog'
>>> pysv.validateChoice('c', ['42', 'cat', 'dog'], lettered=True)
'dog'
>>> pysv.validateChoice('3', ['42', 'cat', 'dog'], numbered=True)
'dog'
>>> pysv.validateDate('2018/7/10')
datetime.date(2018, 7, 10)
>>> pysv.validateTime('12:00')
datetime.time(12, 0)
>>> pysv.validateDatetime('2018/7/10 12:30:00')
datetime.datetime(2018, 7, 10, 12, 30)
>>> pysv.validateTime('hour 12 minute 00', formats=['hour %H minute %M'])
datetime.time(12, 0)
>>> pysv.validateURL('https://www.metafilter.com/')
'https://www.metafilter.com/'
>>> pysv.validateRegex('cat', r'\w+')
'cat'
>>> pysv.validateYesNo('y')
'yes'
>>> pysv.validateYesNo('NO')
'no'
>>> pysv.validateBool('t')
True
>>> pysv.validateBool('FALSE')
False
>>> pysv.validateIp('127.0.0.1')
'127.0.0.1'
>>> pysv.validateState('CA')
'California'
>>> pysv.validateState('CALIFORNIA')
'California'
>>> pysv.validateMonth(12)
'December'
>>> pysv.validateMonth('DEC')
'December'
>>> pysv.validateMonth('December')
'December'
>>> pysv.validateMonth('Smarch')
Traceback (most recent call last):
    ...
pysimplevalidate.ValidationException: 'Smarch' is not a month.
>>> pysv.validateDayOfWeek('mon')
'Monday'
>>> pysv.validateDayOfWeek('MONDAY')
'Monday'
>>> pysv.validateDayOfMonth(29, 1920, 2)
29
>>> pysv.validateDayOfMonth(29, 1921, 2)
Traceback (most recent call last):
    ...
pysimplevalidate.ValidationException: '29' is not a day in the month of March 1921

Common Validaton Function Parameters

All validation functions have the following parameters:

  • blank (bool): If True, blank strings will be allowed as valid user input.

  • strip (bool, str, None): If True, whitespace is stripped from value. If a str, the characters in it are stripped from value. If None, nothing is stripped. Defaults to True.

  • whitelistRegexes (Sequence, None): A sequence of regex str that will explicitly pass validation, even if they aren’t numbers. Defaults to None.

  • blacklistRegexes (Sequence, None): A sequence of regex str or (regex_str, response_str) tuples that, if matched, will explicitly fail validation. Defaults to None.

Other input functions may have additional parameters.

Input Functions

  • validateStr() - Accepts a string. Use this if you want the basic strip/whitelist/blacklist/blank features.

  • validateNum() - Accepts a numeric number. Additionally has min and max parameters for inclusive bounds and greaterThan and lessThan parameters for exclusive bounds. Returns an int or float, not a str.

  • validateInt() - Accepts an integer number. Also has min/max/greaterThan/lessThan parameters. Returns an int, not a str.

  • validateFloat() - Accepts a floating-point number. Also has min/max/greaterThan/lessThan parameters. Returns a float, not a str.

  • validateBool() - Accepts a case-insensitive form of ‘True’, ‘T’, ‘False’, or ‘F’ and returns a bool value.

  • validateChoice() - Accepts one of the strings in the list of strings passed for its choices parameter.

  • validateDate() - Accepts a date typed in one of the strftime formats passed to the formats parameter. (This has several common formats by default.) Returns a datetime.date object.

  • validateDatetime() - Same as validateDate(), except it handles dates and times. (This has several common formats by default.) Returns a datetime.datetime object.

  • validateTime() - Same as validateDate(), except it handles times. (This has several common formats by default.) Returns a datetime.time object.

  • validateYesNo() - Accepts a case-insensitive form of ‘Yes’, ‘Y’, ‘No’, or ‘N’ and returns ‘yes’ or ‘no’.

  • validateRegex() - Accepts a str that matches the provided regular expression.

  • validateState() - Accepts the name or abbreviation of a United States state.

  • validateMonth() - Accepts the name, abbreviation, or number of a month (‘Jan’, ‘January’, ‘1’, etc.).

  • validateDayOfWeek() - Accepts the name or abbreviation of a day of the week (‘Mon’, ‘monday’, etc.)

  • validateDayOfMonth() - Accepts a number of the day for a month, given the year and month.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

PySimpleValidate-0.1.1.tar.gz (17.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page