Rails before_validation strip whitespace best practices

I don’t believe before_validation works like that. You probably want to write your method like this instead: def strip_whitespace self.name = self.name.strip unless self.name.nil? self.email = self.email.strip unless self.email.nil? self.nick = self.nick.strip unless self.nick.nil? end You could make it more dynamic if you want using something like self.columns, but that’s the gist of it.

Fat models, skinny controllers and the MVC design pattern

It’s a bit tough to give you the “right” answers, since some of them deal with the specifics of the framework (regardless of the ones you are working with). At least in terms of CakePHP: Yes Anything that deals with data or data manipulation should be in a model. In terms of CakePHP what about … Read more

DDD – Persistence Model and Domain Model

Just think of it this way, the domain model should be dependent upon nothing and have no infrastructure code within it. The domain model should not be serializable or inherit from some ORM objects or even share them. These are all infrastructure concerns and should be defined separate from the domain model. But, that is … Read more

Django required field in model form

If you don’t want to modify blank setting for your fields inside models (doing so will break normal validation in admin site), you can do the following in your Form class: def __init__(self, *args, **kwargs): super(CircuitForm, self).__init__(*args, **kwargs) for key in self.fields: self.fields[key].required = False The redefined constructor won’t harm any functionality.

Django get list of models in application

From Django 1.7 on, you can use this code, for example in your admin.py to register all models: from django.apps import apps from django.contrib import admin from django.contrib.admin.sites import AlreadyRegistered app_models = apps.get_app_config(‘my_app’).get_models() for model in app_models: try: admin.site.register(model) except AlreadyRegistered: pass

Reusing a Model Built in R

Reusing a model to predict for new observations If the model is not computationally costly, I tend to document the entire model building process in an R script that I rerun when needed. If a random element is involved in the model fitting, I make sure to set a known random seed. If the model … Read more

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