https://www.cnblogs.com/pyspark/p/8607801.html

https://www.cnblogs.com/LYliangying/articles/9896548.html

fieids.py主要定义了各种字段的序列化类。Field是基类。

class Field

    _creation_counter = 0

    default_error_messages = {
'required': _('This field is required.'),
'null': _('This field may not be null.')
}
default_validators = [] #默认验证器初始化为空list
default_empty_html = empty
initial = None

  

    # 在构造函数中,给出了各种定义参数,由子类继承,在实例化时传参,来控制这个字段的各种属性
# read_only,表明只用于序列化输出
# write_only, 表明只用于反序列化输入,比如密码
# required, 表明在反序列化时必须输入
# default, 反序列化时使用的默认值
# initial
# source,
# label, 用于HTML展示API页面时,显示的字段名称
# help_text, 用于HTML展示API页面时,显示的字段帮助提示信息
# style
# error_messages, 包含错误编号与错误信息的字典
# validators, 该字段使用的验证器
# allow_null, 表明该字段是否允许传入None,默认False
def __init__(self, read_only=False, write_only=False,
required=None, default=empty, initial=empty, source=None,
label=None, help_text=None, style=None,
error_messages=None, validators=None, allow_null=False):
self._creation_counter = Field._creation_counter
Field._creation_counter += 1 # If `required` is unset, then use `True` unless a default is provided.
if required is None:
required = default is empty and not read_only # Some combinations of keyword arguments do not make sense.
# 断言一些没有意义的参数组合
assert not (read_only and write_only), NOT_READ_ONLY_WRITE_ONLY
assert not (read_only and required), NOT_READ_ONLY_REQUIRED
assert not (required and default is not empty), NOT_REQUIRED_DEFAULT
assert not (read_only and self.__class__ == Field), USE_READONLYFIELD # 将传入的参数赋值给实例(属性初始化)
self.read_only = read_only
self.write_only = write_only
self.required = required
self.default = default
self.source = source
self.initial = self.initial if (initial is empty) else initial
self.label = label
self.help_text = help_text
self.style = {} if style is None else style
self.allow_null = allow_null if self.default_empty_html is not empty:
if default is not empty:
self.default_empty_html = default if validators is not None:
self.validators = list(validators) # These are set up by `.bind()` when the field is added to a serializer.
self.field_name = None
self.parent = None # Collect default error message from self and parent classes
messages = {}
for cls in reversed(self.__class__.__mro__):
messages.update(getattr(cls, 'default_error_messages', {}))
messages.update(error_messages or {})
self.error_messages = messages

  

    # .validators is a lazily loaded property, that gets its default
# value from `get_validators`.
# validators属性设置
@property
def validators(self):
if not hasattr(self, '_validators'):
self._validators = self.get_validators()
return self._validators @validators.setter
def validators(self, validators):
self._validators = validators def get_validators(self):
return list(self.default_validators)

  

子类

class IntegerField(Field):
default_error_messages = {
'invalid': _('A valid integer is required.'),
'max_value': _('Ensure this value is less than or equal to {max_value}.'),
'min_value': _('Ensure this value is greater than or equal to {min_value}.'),
'max_string_length': _('String value too large.')
}
MAX_STRING_LENGTH = 1000 # Guard against malicious string inputs.
re_decimal = re.compile(r'\.0*\s*$') # allow e.g. '1.0' as an int, but not '1.2' def __init__(self, **kwargs):
# 从变长传参里找max_value,min_value,给到实例,默认为None
#继承父类的其他属性(相当于父类属性是通用,这里的属性是子类独有的)
self.max_value = kwargs.pop('max_value', None)
self.min_value = kwargs.pop('min_value', None)
super().__init__(**kwargs)
# 如果传参max_value,先拼接error message,然后在validators属性里添加一个验证器元素。
if self.max_value is not None:
message = lazy_format(self.error_messages['max_value'], max_value=self.max_value)
self.validators.append(
MaxValueValidator(self.max_value, message=message))
if self.min_value is not None:
message = lazy_format(self.error_messages['min_value'], min_value=self.min_value)
self.validators.append(
MinValueValidator(self.min_value, message=message)) def to_internal_value(self, data):
if isinstance(data, str) and len(data) > self.MAX_STRING_LENGTH:
self.fail('max_string_length') try:
data = int(self.re_decimal.sub('', str(data)))
except (ValueError, TypeError):
self.fail('invalid')
return data def to_representation(self, value):
return int(value)

  

class CharField(Field):
default_error_messages = {
'invalid': _('Not a valid string.'),
'blank': _('This field may not be blank.'),
'max_length': _('Ensure this field has no more than {max_length} characters.'),
'min_length': _('Ensure this field has at least {min_length} characters.'),
}
initial = '' def __init__(self, **kwargs):
self.allow_blank = kwargs.pop('allow_blank', False)
self.trim_whitespace = kwargs.pop('trim_whitespace', True)
self.max_length = kwargs.pop('max_length', None)
self.min_length = kwargs.pop('min_length', None)
super().__init__(**kwargs)
if self.max_length is not None:
message = lazy_format(self.error_messages['max_length'], max_length=self.max_length)
self.validators.append(
MaxLengthValidator(self.max_length, message=message))
if self.min_length is not None:
message = lazy_format(self.error_messages['min_length'], min_length=self.min_length)
self.validators.append(
MinLengthValidator(self.min_length, message=message)) # ProhibitNullCharactersValidator is None on Django < 2.0
if ProhibitNullCharactersValidator is not None:
self.validators.append(ProhibitNullCharactersValidator()) def run_validation(self, data=empty):
# Test for the empty string here so that it does not get validated,
# and so that subclasses do not need to handle it explicitly
# inside the `to_internal_value()` method.
if data == '' or (self.trim_whitespace and str(data).strip() == ''):
if not self.allow_blank:
self.fail('blank')
return ''
return super().run_validation(data) # 将int,float转为为str
def to_internal_value(self, data):
# We're lenient with allowing basic numerics to be coerced into strings,
# but other types should fail. Eg. unclear if booleans should represent as `true` or `True`,
# and composites such as lists are likely user error.
if isinstance(data, bool) or not isinstance(data, (str, int, float,)):
self.fail('invalid')
value = str(data)
return value.strip() if self.trim_whitespace else value def to_representation(self, value):
return str(value)

  

DRF源码-fields.py的更多相关文章

  1. DRF源码-views.py

    REST框架提供了一个APIView类,它是Django View类的子类. 要了解几个特点: 请求中body中的数据全部都封装到了data中(原POST,PUT,PATCH,DELETE中的数据全部 ...

  2. Django之DRF源码分析(二)---数据校验部分

    Django之DRF源码分析(二)---数据校验部分 is_valid() 源码 def is_valid(self, raise_exception=False): assert not hasat ...

  3. 02 drf源码剖析之快速了解drf

    02 drf源码剖析之快速了解drf 目录 02 drf源码剖析之快速了解drf 1. 什么是drf 2. 安装 3. 使用 3. DRF的应用场景 1. 什么是drf drf是一个基于django开 ...

  4. Django与drf 源码视图解析

    0902自我总结 Django 与drf 源码视图解析 一.原生Django CBV 源码分析:View """ 1)as_view()是入口,得到view函数地址 2) ...

  5. drf源码save以及response

    drf源码save以及response 一.save 其中蛮重要的一段 if self.instance is not None: self.instance = self.update(self.i ...

  6. DRF源码系列分析

    DRF源码系列分析 DRF源码系列分析--版本 DRF源码系列分析--认证 DRF源码系列分析--权限 DRF源码系列分析--节流

  7. [drf]源码和序列化梳理

    drf源码继承管理 # drf继承关系 View APIView as_view: 执行父类的as_view 调用dispatch dispatch init_request request.quer ...

  8. drf源码剖析系列(系列目录)

    drf源码剖析系列(系列目录) 01 drf源码剖析之restful规范 02 drf源码剖析之快速了解drf 03 drf源码剖析之视图 04 drf源码剖析之版本 05 drf源码剖析之认证 06 ...

  9. 07 drf源码剖析之节流

    07 drf源码剖析之节流 目录 07 drf源码剖析之节流 1. 节流简述 2. 节流使用 3. 源码剖析 总结: 1. 节流简述 节流类似于权限,它确定是否应授权请求.节流指示临时状态,并用于控制 ...

随机推荐

  1. threading 多线程

    # coding:utf- import time from threading import Thread def foo(x):#这里可以带参数def foo(x) print "foo ...

  2. 使用Spring Cloud Gateway保护反应式微服务(一)

    反应式编程是使你的应用程序更高效的一种越来越流行的方式.响应式应用程序异步调用响应,而不是调用资源并等待响应.这使他们可以释放处理能力,仅在必要时执行处理,并且比其他系统更有效地扩展. Java生态系 ...

  3. L/SQL Developer 和 instantclient客户端安装配置

    PL/SQL Developer 和 instantclient客户端安装配置(图文) 一: PL/SQL Developer 安装 下载安装文件安装,我这里的版本号是PLSQL7.1.4.1391, ...

  4. Redis的下载与安装

    1). 从官网上下载Redis的压缩包   2). 将压缩包解压到 某个指定的文件目录中         tar -xzvf redis-4.0.9.tar.gz  /xx/xx/xx_dir   3 ...

  5. JAVA开源爬虫列表及简介

    本文列举了一些较为常用的JAVA开源爬虫框架: 1.Apache Nutch 官方网站:http://nutch.apache.org/ 是否支持分布式:是 可扩展性:中.Apache Nutch并不 ...

  6. MyISAM与InnoDB 的区别

    1. 事务:InnoDB支持,MyISAM不支持,在InnoDB中每一条SQL语句都会默认封装成事务自动提交,然而这样会影响速度,因此最好把多条SQL语句放在begin和commit之间组成一个事务: ...

  7. POJ 3292:Semi-prime H-numbers 筛选数

    Semi-prime H-numbers Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 8216   Accepted: 3 ...

  8. HiBench成长笔记——(9) Centos安装Maven

    Maven的下载地址是:http://maven.apache.org/download.cgi 安装Maven非常简单,只需要将下载的压缩文件解压就可以了. cd /home/cf/app wget ...

  9. SpringBoo#Mybatis多个数据源配置,Sqlite&Mysql

    第一步:排除数据源的自动配置类: @SpringBootApplication(exclude = {DataSourceAutoConfiguration.class}) 第二步:定义好两个数据源的 ...

  10. openCV 3.4 windows下的配置说明

    链接: https://pan.baidu.com/s/1dkS_G8ZSBD8EnhYeEFZxhQ 密码: xu99 (从官网下的, 但360会提示有毒, 哈哈哈) 运行exe, 解压openCV ...