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/docs/ref/forms/validation.txt

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  1Form and field validation
  2=========================
  3
  4.. versionchanged:: 1.2
  5
  6Form validation happens when the data is cleaned. If you want to customize
  7this process, there are various places you can change, each one serving a
  8different purpose. Three types of cleaning methods are run during form
  9processing. These are normally executed when you call the ``is_valid()``
 10method on a form. There are other things that can trigger cleaning and
 11validation (accessing the ``errors`` attribute or calling ``full_clean()``
 12directly), but normally they won't be needed.
 13
 14In general, any cleaning method can raise ``ValidationError`` if there is a
 15problem with the data it is processing, passing the relevant error message to
 16the ``ValidationError`` constructor. If no ``ValidationError`` is raised, the
 17method should return the cleaned (normalized) data as a Python object.
 18
 19If you detect multiple errors during a cleaning method and wish to signal all
 20of them to the form submitter, it is possible to pass a list of errors to the
 21``ValidationError`` constructor.
 22
 23Most validation can be done using `validators`_ - simple helpers that can be
 24reused easily. Validators are simple functions (or callables) that take a single
 25argument and raise ``ValidationError`` on invalid input. Validators are run
 26after the field's ``to_python`` and ``validate`` methods have been called.
 27
 28Validation of a Form is split into several steps, which can be customized or
 29overridden:
 30
 31    * The ``to_python()`` method on a Field is the first step in every
 32      validation. It coerces the value to correct datatype and raises
 33      ``ValidationError`` if that is not possible. This method accepts the raw
 34      value from the widget and returns the converted value. For example, a
 35      FloatField will turn the data into a Python ``float`` or raise a
 36      ``ValidationError``.
 37
 38    * The ``validate()`` method on a Field handles field-specific validation
 39      that is not suitable for a validator, It takes a value that has been
 40      coerced to correct datatype and raises ``ValidationError`` on any error.
 41      This method does not return anything and shouldn't alter the value. You
 42      should override it to handle validation logic that you can't or don't
 43      want to put in a validator.
 44
 45    * The ``run_validators()`` method on a Field runs all of the field's
 46      validators and aggregates all the errors into a single
 47      ``ValidationError``. You shouldn't need to override this method.
 48
 49    * The ``clean()`` method on a Field subclass. This is responsible for
 50      running ``to_python``, ``validate`` and ``run_validators`` in the correct
 51      order and propagating their errors. If, at any time, any of the methods
 52      raise ``ValidationError``, the validation stops and that error is raised.
 53      This method returns the clean data, which is then inserted into the
 54      ``cleaned_data`` dictionary of the form.
 55
 56    * The ``clean_<fieldname>()`` method in a form subclass -- where
 57      ``<fieldname>`` is replaced with the name of the form field attribute.
 58      This method does any cleaning that is specific to that particular
 59      attribute, unrelated to the type of field that it is. This method is not
 60      passed any parameters. You will need to look up the value of the field
 61      in ``self.cleaned_data`` and remember that it will be a Python object
 62      at this point, not the original string submitted in the form (it will be
 63      in ``cleaned_data`` because the general field ``clean()`` method, above,
 64      has already cleaned the data once).
 65
 66      For example, if you wanted to validate that the contents of a
 67      ``CharField`` called ``serialnumber`` was unique,
 68      ``clean_serialnumber()`` would be the right place to do this. You don't
 69      need a specific field (it's just a ``CharField``), but you want a
 70      formfield-specific piece of validation and, possibly,
 71      cleaning/normalizing the data.
 72
 73      Just like the general field ``clean()`` method, above, this method
 74      should return the cleaned data, regardless of whether it changed
 75      anything or not.
 76
 77    * The Form subclass's ``clean()`` method. This method can perform
 78      any validation that requires access to multiple fields from the form at
 79      once. This is where you might put in things to check that if field ``A``
 80      is supplied, field ``B`` must contain a valid e-mail address and the
 81      like. The data that this method returns is the final ``cleaned_data``
 82      attribute for the form, so don't forget to return the full list of
 83      cleaned data if you override this method (by default, ``Form.clean()``
 84      just returns ``self.cleaned_data``).
 85
 86      Note that any errors raised by your ``Form.clean()`` override will not
 87      be associated with any field in particular. They go into a special
 88      "field" (called ``__all__``), which you can access via the
 89      ``non_field_errors()`` method if you need to. If you want to attach
 90      errors to a specific field in the form, you will need to access the
 91      ``_errors`` attribute on the form, which is `described later`_.
 92
 93      Also note that there are special considerations when overriding
 94      the ``clean()`` method of a ``ModelForm`` subclass. (see the
 95      :ref:`ModelForm documentation
 96      <overriding-modelform-clean-method>` for more information)
 97
 98These methods are run in the order given above, one field at a time.  That is,
 99for each field in the form (in the order they are declared in the form
100definition), the ``Field.clean()`` method (or its override) is run, then
101``clean_<fieldname>()``. Finally, once those two methods are run for every
102field, the ``Form.clean()`` method, or its override, is executed.
103
104Examples of each of these methods are provided below.
105
106As mentioned, any of these methods can raise a ``ValidationError``. For any
107field, if the ``Field.clean()`` method raises a ``ValidationError``, any
108field-specific cleaning method is not called. However, the cleaning methods
109for all remaining fields are still executed.
110
111The ``clean()`` method for the ``Form`` class or subclass is always run. If
112that method raises a ``ValidationError``, ``cleaned_data`` will be an empty
113dictionary.
114
115The previous paragraph means that if you are overriding ``Form.clean()``, you
116should iterate through ``self.cleaned_data.items()``, possibly considering the
117``_errors`` dictionary attribute on the form as well. In this way, you will
118already know which fields have passed their individual validation requirements.
119
120.. _described later:
121
122Form subclasses and modifying field errors
123------------------------------------------
124
125Sometimes, in a form's ``clean()`` method, you will want to add an error
126message to a particular field in the form. This won't always be appropriate
127and the more typical situation is to raise a ``ValidationError`` from
128``Form.clean()``, which is turned into a form-wide error that is available
129through the ``Form.non_field_errors()`` method.
130
131When you really do need to attach the error to a particular field, you should
132store (or amend) a key in the ``Form._errors`` attribute. This attribute is an
133instance of a ``django.forms.util.ErrorDict`` class. Essentially, though, it's
134just a dictionary. There is a key in the dictionary for each field in the form
135that has an error. Each value in the dictionary is a
136``django.forms.util.ErrorList`` instance, which is a list that knows how to
137display itself in different ways. So you can treat ``_errors`` as a dictionary
138mapping field names to lists.
139
140If you want to add a new error to a particular field, you should check whether
141the key already exists in ``self._errors`` or not. If not, create a new entry
142for the given key, holding an empty ``ErrorList`` instance. In either case,
143you can then append your error message to the list for the field name in
144question and it will be displayed when the form is displayed.
145
146There is an example of modifying ``self._errors`` in the following section.
147
148.. admonition:: What's in a name?
149
150    You may be wondering why is this attribute called ``_errors`` and not
151    ``errors``. Normal Python practice is to prefix a name with an underscore
152    if it's not for external usage. In this case, you are subclassing the
153    ``Form`` class, so you are essentially writing new internals. In effect,
154    you are given permission to access some of the internals of ``Form``.
155
156    Of course, any code outside your form should never access ``_errors``
157    directly. The data is available to external code through the ``errors``
158    property, which populates ``_errors`` before returning it).
159
160    Another reason is purely historical: the attribute has been called
161    ``_errors`` since the early days of the forms module and changing it now
162    (particularly since ``errors`` is used for the read-only property name)
163    would be inconvenient for a number of reasons. You can use whichever
164    explanation makes you feel more comfortable. The result is the same.
165
166Using validation in practice
167----------------------------
168
169The previous sections explained how validation works in general for forms.
170Since it can sometimes be easier to put things into place by seeing each
171feature in use, here are a series of small examples that use each of the
172previous features.
173
174.. _validators:
175
176Using validators
177~~~~~~~~~~~~~~~~
178.. versionadded:: 1.2
179
180Django's form (and model) fields support use of simple utility functions and
181classes known as validators. These can be passed to a field's constructor, via
182the field's ``validators`` argument, or defined on the Field class itself with
183the ``default_validators`` attribute.
184
185Simple validators can be used to validate values inside the field, let's have
186a look at Django's ``EmailField``::
187
188    class EmailField(CharField):
189        default_error_messages = {
190            'invalid': _(u'Enter a valid e-mail address.'),
191        }
192        default_validators = [validators.validate_email]
193
194As you can see, ``EmailField`` is just a ``CharField`` with customized error
195message and a validator that validates e-mail addresses. This can also be done
196on field definition so::
197
198    email = forms.EmailField()
199
200is equivalent to::
201
202    email = forms.CharField(validators=[validators.validate_email],
203            error_messages={'invalid': _(u'Enter a valid e-mail address.')})
204
205
206Form field default cleaning
207~~~~~~~~~~~~~~~~~~~~~~~~~~~~
208
209Let's firstly create a custom form field that validates its input is a string
210containing comma-separated e-mail addresses. The full class looks like this::
211
212    from django import forms
213    from django.core.validators import validate_email
214
215    class MultiEmailField(forms.Field):
216        def to_python(self, value):
217            "Normalize data to a list of strings."
218
219            # Return an empty list if no input was given.
220            if not value:
221                return []
222            return value.split(',')
223
224        def validate(self, value):
225            "Check if value consists only of valid emails."
226
227            # Use the parent's handling of required fields, etc.
228            super(MultiEmailField, self).validate(value)
229
230            for email in value:
231                validate_email(email)
232
233Every form that uses this field will have these methods run before anything
234else can be done with the field's data. This is cleaning that is specific to
235this type of field, regardless of how it is subsequently used.
236
237Let's create a simple ``ContactForm`` to demonstrate how you'd use this
238field::
239
240    class ContactForm(forms.Form):
241        subject = forms.CharField(max_length=100)
242        message = forms.CharField()
243        sender = forms.EmailField()
244        recipients = MultiEmailField()
245        cc_myself = forms.BooleanField(required=False)
246
247Simply use ``MultiEmailField`` like any other form field. When the
248``is_valid()`` method is called on the form, the ``MultiEmailField.clean()``
249method will be run as part of the cleaning process and it will, in turn, call
250the custom ``to_python()`` and ``validate()`` methods.
251
252Cleaning a specific field attribute
253~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
254
255Continuing on from the previous example, suppose that in our ``ContactForm``,
256we want to make sure that the ``recipients`` field always contains the address
257``"fred@example.com"``. This is validation that is specific to our form, so we
258don't want to put it into the general ``MultiEmailField`` class. Instead, we
259write a cleaning method that operates on the ``recipients`` field, like so::
260
261    class ContactForm(forms.Form):
262        # Everything as before.
263        ...
264
265        def clean_recipients(self):
266            data = self.cleaned_data['recipients']
267            if "fred@example.com" not in data:
268                raise forms.ValidationError("You have forgotten about Fred!")
269
270            # Always return the cleaned data, whether you have changed it or
271            # not.
272            return data
273
274Cleaning and validating fields that depend on each other
275~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
276
277Suppose we add another requirement to our contact form: if the ``cc_myself``
278field is ``True``, the ``subject`` must contain the word ``"help"``. We are
279performing validation on more than one field at a time, so the form's
280``clean()`` method is a good spot to do this. Notice that we are talking about
281the ``clean()`` method on the form here, whereas earlier we were writing a
282``clean()`` method on a field. It's important to keep the field and form
283difference clear when working out where to validate things. Fields are single
284data points, forms are a collection of fields.
285
286By the time the form's ``clean()`` method is called, all the individual field
287clean methods will have been run (the previous two sections), so
288``self.cleaned_data`` will be populated with any data that has survived so
289far. So you also need to remember to allow for the fact that the fields you
290are wanting to validate might not have survived the initial individual field
291checks.
292
293There are two ways to report any errors from this step. Probably the most
294common method is to display the error at the top of the form. To create such
295an error, you can raise a ``ValidationError`` from the ``clean()`` method. For
296example::
297
298    class ContactForm(forms.Form):
299        # Everything as before.
300        ...
301
302        def clean(self):
303            cleaned_data = self.cleaned_data
304            cc_myself = cleaned_data.get("cc_myself")
305            subject = cleaned_data.get("subject")
306
307            if cc_myself and subject:
308                # Only do something if both fields are valid so far.
309                if "help" not in subject:
310                    raise forms.ValidationError("Did not send for 'help' in "
311                            "the subject despite CC'ing yourself.")
312
313            # Always return the full collection of cleaned data.
314            return cleaned_data
315
316In this code, if the validation error is raised, the form will display an
317error message at the top of the form (normally) describing the problem.
318
319The second approach might involve assigning the error message to one of the
320fields. In this case, let's assign an error message to both the "subject" and
321"cc_myself" rows in the form display. Be careful when doing this in practice,
322since it can lead to confusing form output. We're showing what is possible
323here and leaving it up to you and your designers to work out what works
324effectively in your particular situation. Our new code (replacing the previous
325sample) looks like this::
326
327    class ContactForm(forms.Form):
328        # Everything as before.
329        ...
330
331        def clean(self):
332            cleaned_data = self.cleaned_data
333            cc_myself = cleaned_data.get("cc_myself")
334            subject = cleaned_data.get("subject")
335
336            if cc_myself and subject and "help" not in subject:
337                # We know these are not in self._errors now (see discussion
338                # below).
339                msg = u"Must put 'help' in subject when cc'ing yourself."
340                self._errors["cc_myself"] = self.error_class([msg])
341                self._errors["subject"] = self.error_class([msg])
342
343                # These fields are no longer valid. Remove them from the
344                # cleaned data.
345                del cleaned_data["cc_myself"]
346                del cleaned_data["subject"]
347
348            # Always return the full collection of cleaned data.
349            return cleaned_data
350
351As you can see, this approach requires a bit more effort, not withstanding the
352extra design effort to create a sensible form display. The details are worth
353noting, however. Firstly, earlier we mentioned that you might need to check if
354the field name keys already exist in the ``_errors`` dictionary. In this case,
355since we know the fields exist in ``self.cleaned_data``, they must have been
356valid when cleaned as individual fields, so there will be no corresponding
357entries in ``_errors``.
358
359Secondly, once we have decided that the combined data in the two fields we are
360considering aren't valid, we must remember to remove them from the
361``cleaned_data``.
362
363In fact, Django will currently completely wipe out the ``cleaned_data``
364dictionary if there are any errors in the form. However, this behavior may
365change in the future, so it's not a bad idea to clean up after yourself in the
366first place.