


This article brings you an introduction to the ModelForm component in Django (code examples). It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you. help.
Usually in Django projects, most of what we write are forms that closely map to Django's models. For example, you might have a Book model, and you want to create a form to add and edit book information to the model. In this case, defining fields in the form will be redundant since we have already defined those fields in the model.
For this reason, Django provides an auxiliary class that allows us to create a Form from Django's model, which is ModelForm.
modelForm definition
The combination of form and model.
from django import forms from crm import models class RegForm(forms.ModelForm): password = forms.CharField( widget=forms.PasswordInput, label='密码', min_length=6, max_length=12 ) re_password = forms.CharField( widget=forms.PasswordInput, label='确认密码', min_length=6, max_length=12 ) mobile = forms.CharField( ) class Meta: model = models.UserProfile # 指定model fields = '__all__' # 全部字段 # fields = ['username','password'] # 指定字段 exclude = ['is_active'] # 除某个字段之外的其余字段 labels = { 'username':'用户名' } error_messages = { 'min_length': '太短了', } widgets = { 'username': forms.TextInput(attrs={'placeholder': '用户名@xx.com'}), }
class Commonly used parameters under Meta:
model = models.Book # 对应的Model中的类 fields = "__all__" # 字段,如果是__all__,就是表示列出所有的字段 exclude = None # 排除的字段 labels = None # 提示信息 help_texts = None # 帮助提示信息 widgets = None # 自定义插件 error_messages = None # 自定义错误信息
ModelForm validation
Similar to the ordinary Form form validation type, ModelForm form validation requires calling is_valid() or accessing errors Called implicitly when using a property.
We can customize local hook methods and global hook methods to implement custom verification rules just like using the Form class.
If we do not rewrite specific fields and set the validators attribute, ModelForm is verified according to the validators of the fields in the model.
save() method
Each ModelForm also has a save() method. This method creates and saves a database object based on the data bound to the form. Subclasses of ModelForm can accept an existing model instance as the keyword argument instance; if this functionality is provided, save() will update the instance. If not provided, save() will create a new instance of the model:
>>> from myapp.models import Book >>> from myapp.forms import BookForm # 根据POST数据创建一个新的form对象 >>> form_obj = BookForm(request.POST) # 创建书籍对象 >>> new_ book = form_obj.save() # 基于一个书籍对象创建form对象 >>> edit_obj = Book.objects.get(id=1) # 使用POST提交的数据更新书籍对象 >>> form_obj = BookForm(request.POST, instance=edit_obj) >>> form_obj.save()
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

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Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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