A slim validation library with a very elegant API designed to afford the least amount of typing.
Project description
# Valhalla
[![Build Status](https://travis-ci.org/petermelias/valhalla.png?branch=master)](https://travis-ci.org/petermelias/valhalla) [![Coverage Status](https://coveralls.io/repos/petermelias/valhalla/badge.png?branch=master)](https://coveralls.io/r/petermelias/valhalla?branch=master) [![Downloads](https://pypip.in/d/valhalla/badge.png)](https://crate.io/packages/valhalla) [![Downloads](https://pypip.in/v/valhalla/badge.png)](https://crate.io/packages/valhalla)
Very powerful and flexible data filtering / validation /sanitization library with a highly efficient API.
Declarative schema interface for defining filters, dict based definitions coming soon...
The API is designed to afford the programmer the least amount of typing for each
use case, with the option to be more verbose when necessary.
## Usage
```python
from valhalla import Schema
s = Schema('Signup Form', match=['password', 'password_confirm'])
s.email_address.email()
s.first_name.text()
s.last_name.text()
s.password.text()
s.password_confirm.text()
s.location.require(False)
```
Note: The field names are added dynamically, so long as you don't collide with any of the built-in ``` Schema ``` attributes. Calling the field name is not necessary, calling the filter functions is necessary however, as shown above.
The built-in ``` Schema ``` attributes are: [name, errors, valid, missing, add_field, required_fields, optional_fields, blank_fields, not_blank_fields, match_fields, validate, reset]
```python
test_data = {
'email_address': 'petermelias@gmail.com',
'first_name': 'Peter',
'last_name': 'Elias',
'password': '1234',
'password_confirm': '12345'
}
s.validate(test_data)
assert_false(s.valid) # True
assert_false(s.password.valid) # True
print s.password.errors # This field must match [password_confirm]
assert_true(s.location.valid) # True, field is not required
print s.results # {'email_address': 'petermelias@gmail.com'} etc... only yields valid values.
# Field-wide options may specified at the Schema-level or at the Field-level, field-level takes precedence.
s = Schema(require=['some_field'])
s.some_field.require(False) # overrides the schema setting
# a more useful example...
s = Schema(require='all')
s.i_am_required
s.not_me_though.require(False)
# Field-wide options: [blank, require, match]
s = Schema(match=[('match_me', 'to_me'), ('and_me', 'to_other_me')], blank='all', required='all')
# these two must match
s.match_me
s.to_me
# and these two must match
s.and_me
s.to_other_me
# May also be used declaratively
s = Schema()
s.i_am_required.require(True) # all fields are required by default though
s.i_can_be_blank.blank(True) # all fields CANNOT be blank by default
s.i_should_match.match('i_am_required')
'''
The difference between BLANK and REQUIRED is that a field must be included in the supplied DATA in order to be considered "present". If a value is not "present", and the field is required, an error is raised. If the value is "present", but BLANK (meaning some kind of empty value), and the field does NOT allow blanks, then an error is raised.
So, if a field is NOT REQUIRED, and NOT BLANK. Then you can omit the field entirely, but you cannot supply it with an empty value either.
'''
s.some_field.blank(False).require(False) # either supply me with a real value or go home. this is the default for all fields.
```
## Filters (validators)
There are currently 42 filter functions (validators) in this library. They are spread across modules categorically, but all end up in the same namespace because of the dynamic lookup system used for the API. This is not really much of an issue, since the filters use (and will continue to use) non-ambiguous names.
The list of filters is as follows, by category:
### Web
* email
* ipv4
* url
* uri
* cidr4
* cidr6
* macaddress
### Money
* credit_card(brands=[])
### Strings
* text
* alphanumeric
* alpha
* numeric_string
* nonblank
* removespaces
* strip
* lower
* upper
* regex
* canonize
* slugify
### Numerical
* range(low, high)
* minimum(number)
* maximum(number)
* between(low, high)
* equal(number)
* zero
### Logical
* constant
### Constant
* drop_keys
* contains
### Chrono
* date(format='%m/%d/%Y')
* time(format='%I:%M:%S')
* datetime(format='%m/%d/%Y %I:%M:%S')
* time_before(deadline)
* time_after(milestone)
* time_between(milestone, deadline)
### Casting
* boolean
* strbool
* integer
* longint
* numeric
* string
* none
[![Build Status](https://travis-ci.org/petermelias/valhalla.png?branch=master)](https://travis-ci.org/petermelias/valhalla) [![Coverage Status](https://coveralls.io/repos/petermelias/valhalla/badge.png?branch=master)](https://coveralls.io/r/petermelias/valhalla?branch=master) [![Downloads](https://pypip.in/d/valhalla/badge.png)](https://crate.io/packages/valhalla) [![Downloads](https://pypip.in/v/valhalla/badge.png)](https://crate.io/packages/valhalla)
Very powerful and flexible data filtering / validation /sanitization library with a highly efficient API.
Declarative schema interface for defining filters, dict based definitions coming soon...
The API is designed to afford the programmer the least amount of typing for each
use case, with the option to be more verbose when necessary.
## Usage
```python
from valhalla import Schema
s = Schema('Signup Form', match=['password', 'password_confirm'])
s.email_address.email()
s.first_name.text()
s.last_name.text()
s.password.text()
s.password_confirm.text()
s.location.require(False)
```
Note: The field names are added dynamically, so long as you don't collide with any of the built-in ``` Schema ``` attributes. Calling the field name is not necessary, calling the filter functions is necessary however, as shown above.
The built-in ``` Schema ``` attributes are: [name, errors, valid, missing, add_field, required_fields, optional_fields, blank_fields, not_blank_fields, match_fields, validate, reset]
```python
test_data = {
'email_address': 'petermelias@gmail.com',
'first_name': 'Peter',
'last_name': 'Elias',
'password': '1234',
'password_confirm': '12345'
}
s.validate(test_data)
assert_false(s.valid) # True
assert_false(s.password.valid) # True
print s.password.errors # This field must match [password_confirm]
assert_true(s.location.valid) # True, field is not required
print s.results # {'email_address': 'petermelias@gmail.com'} etc... only yields valid values.
# Field-wide options may specified at the Schema-level or at the Field-level, field-level takes precedence.
s = Schema(require=['some_field'])
s.some_field.require(False) # overrides the schema setting
# a more useful example...
s = Schema(require='all')
s.i_am_required
s.not_me_though.require(False)
# Field-wide options: [blank, require, match]
s = Schema(match=[('match_me', 'to_me'), ('and_me', 'to_other_me')], blank='all', required='all')
# these two must match
s.match_me
s.to_me
# and these two must match
s.and_me
s.to_other_me
# May also be used declaratively
s = Schema()
s.i_am_required.require(True) # all fields are required by default though
s.i_can_be_blank.blank(True) # all fields CANNOT be blank by default
s.i_should_match.match('i_am_required')
'''
The difference between BLANK and REQUIRED is that a field must be included in the supplied DATA in order to be considered "present". If a value is not "present", and the field is required, an error is raised. If the value is "present", but BLANK (meaning some kind of empty value), and the field does NOT allow blanks, then an error is raised.
So, if a field is NOT REQUIRED, and NOT BLANK. Then you can omit the field entirely, but you cannot supply it with an empty value either.
'''
s.some_field.blank(False).require(False) # either supply me with a real value or go home. this is the default for all fields.
```
## Filters (validators)
There are currently 42 filter functions (validators) in this library. They are spread across modules categorically, but all end up in the same namespace because of the dynamic lookup system used for the API. This is not really much of an issue, since the filters use (and will continue to use) non-ambiguous names.
The list of filters is as follows, by category:
### Web
* ipv4
* url
* uri
* cidr4
* cidr6
* macaddress
### Money
* credit_card(brands=[])
### Strings
* text
* alphanumeric
* alpha
* numeric_string
* nonblank
* removespaces
* strip
* lower
* upper
* regex
* canonize
* slugify
### Numerical
* range(low, high)
* minimum(number)
* maximum(number)
* between(low, high)
* equal(number)
* zero
### Logical
* constant
### Constant
* drop_keys
* contains
### Chrono
* date(format='%m/%d/%Y')
* time(format='%I:%M:%S')
* datetime(format='%m/%d/%Y %I:%M:%S')
* time_before(deadline)
* time_after(milestone)
* time_between(milestone, deadline)
### Casting
* boolean
* strbool
* integer
* longint
* numeric
* string
* none
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