我在RandomizationFOrm中覆盖了 init ，并且遇到了以前从未遇到过的错误
我了解错误：在我的模型中，randomization ran_num字段是UNIQUE 当我尝试使用相同的ran_num调用randomisation_edit视图时尝试保存表单时，会引发错误
，但在覆盖__init__之前，此错误由Django本身管理
我尝试如下添加验证，但引发另一个错误：'RandomisationForm'对象没有属性'clean_data'->对于其他字段，我也执行相同操作，而没有出现此错误...
val clusterLabel = pipelineModel.transform(data).
select("cluster", "label").as[(Int, String)]
val weightedClusterEntropy = clusterLabel.
groupByKey { case (cluster, _) => cluster }.
mapGroups { case (_, clusterLabels) =>
val labels = clusterLabels.map { case (_, label) => label }.toSeq
val labelCounts = labels.groupBy(identity).values.map(_.size)
我尝试在全局“干净”方法中添加验证，但是它不适用...
我不明白...
models.py
def clean_ran_num(self):
data = self.clean_data['ran_num']
if data == 'CIV-CO-001':
raise forms.validationError('test')
return data
forms.py
class Randomisation(models.Model):
# ran_num = models.CharField("Patient code", max_length=10, unique=True, null=True, blank=True,validators=[validate_patient_code])
ran_ide = models.AutoField(primary_key=True)
ran_num = models.CharField("Patient code", max_length=10, unique=True, null=True, blank=True)
ran_dat = models.DateField("Date of randomization", null=True, blank=True)
ran_inv = models.CharField("Investigator", max_length=20, null=True, blank=True)
ran_pro = models.IntegerField("Procedure used to randomized", null=True, blank=True)
ran_pro_per = models.CharField("if telephone, name of the person reached on the phone", max_length=20, null=True, blank=True)
ran_crf_inc = models.IntegerField("Was the CRF inclusion 2 Eligibility fulfilled?", null=True, blank=True)
ran_tbc = models.IntegerField("Is TB diagnosis possible, probable or definite?", null=True, blank=True)
ran_crf_eli = models.IntegerField("Was the CRF Inclusion 2 Eligibility fulffiled?", null=True, blank=True)
ran_cri = models.IntegerField("Is the conclusion All criteria fulfilled for randomisation", null=True, blank=True)
ran_sta = models.IntegerField("British Medical Council Staging (worst stage reported between first symptoms and now)", null=True, blank=True)
ran_vih = models.IntegerField("HIV/AIDS status", null=True, blank=True)
ran_bra = models.IntegerField("TB treatment assigned", null=True, blank=True)
ran_med = models.CharField("Batch number", max_length=6, null=True, blank=True)
ran_log_dat = models.DateTimeField("Date", null=True, blank=True)
ran_log = models.CharField("Name of the person who performs randomisation on site", max_length=10, null=True, blank=True)
views.py
class RandomisationForm(forms.ModelForm):
# surcharge méthode constructeur (__init__) pour avoir accès aux variables de sessions
# https://stackoverflow.com/questions/3778148/django-form-validation-including-the-use-of-session-data
def __init__(self, request, *args, **kwargs):
self.request = request
super(RandomisationForm, self).__init__(*args, **kwargs)
# vérification que le numéro patient saisi correspond bien au site actuellement sélectionné
# i.e. profil 'International'
def clean(self):
data = self.cleaned_data['ran_num']
if data[4:6] != self.request.session.get('selected_site'):
raise ValidationError(_('Patient code is different from the selected site'))
TYPES = [
(None, ''),
(1, _('On-line')),
(2, _('Telephon')),
]
YESNO = [
(None, ''),
(1, _('Yes')),
(0, _('No')),
]
TB = [
(None, ''),
(1, _('Possible')),
(2, _('Probable')),
(3, _('Definite')),
]
SEVERITY = [
(None, ''),
(1, _('Mild')),
(2, _('Severe')),
]
HIV = [
(None, ''),
(0, _('Negative')),
(1, _('Positive')),
]
ran_dat = forms.DateField(
label = _("Date of randomization"),
initial = datetime.datetime.now,
required = True,
)
ran_num = forms.CharField(label = _("Patient number"), required=True) # ajout
ran_inv = forms.CharField(label = _("Investigator"), required=True)
ran_pro = forms.ChoiceField(label = _("Type"), widget=forms.Select, choices=TYPES)
ran_pro_per = forms.CharField(label = _("if telephone, name of the person reached on the phone"), required=False)
ran_crf_inc = forms.ChoiceField(label = _("Was the CRF inclusion 1 TB diagnosis fulfilled?"), widget = forms.Select, choices = YESNO)
ran_crf_eli = forms.ChoiceField(label = _("Was the CRF Inclusion 2 Eligibility fulffiled?"), widget = forms.Select, choices = YESNO)
ran_tbc = forms.ChoiceField(label = _("Is TB diagnosis possible, probable or definite?"), widget = forms.Select, choices = TB)
ran_cri = forms.ChoiceField(label = _("Is the conclusion All criteria fulfilled for randomisation"), widget=forms.Select, choices = YESNO)
ran_sta = forms.ChoiceField(label = _("British Medical Council Staging (worst stage reported between first symptoms and now)"), widget = forms.Select, choices = SEVERITY)
ran_vih = forms.ChoiceField(label = _("HIV/AIDS status"), widget = forms.Select, choices = HIV)
class Meta:
model = Randomisation
# Tous les champs sauf les champs de log et les champs TB treatment et Drug batch number
fields = ('ran_num','ran_dat','ran_inv','ran_pro','ran_pro_per','ran_crf_inc','ran_tbc','ran_crf_eli','ran_cri','ran_sta','ran_vih',)
def clean_ran_crf_inc(self):
data = self.cleaned_data['ran_crf_inc']
if int(data) == 0:
raise forms.ValidationError(_("This criteria is mandatory for randomization"))
return data
def clean_ran_crf_eli(self):
data = self.cleaned_data['ran_crf_eli']
if int(data) == 0:
raise forms.ValidationError(_("This criteria is mandatory for randomization"))
return data
def clean_ran_cri(self):
data = self.cleaned_data['ran_cri']
if int(data) == 0:
raise forms.ValidationError_(("This criteria is mandatory for randomization"))
return data
答案 0 :(得分：0)
当您重写Form.clean方法时，必须调用super(RandomisationForm, self).clean()，否则您将失去唯一性约束检查。
从文档中
在示例代码中对super（）。clean（）的调用可确保保持父类中的任何验证逻辑。如果您的表单继承了另一个在其clean（）方法中不返回cleaned_data字典的表单（这样做是可选的），则请勿将cleaned_data分配给super（）调用的结果，而应使用self.cleaned_data代替：