全部数据解析的类都是BaseParser的子类。
python
class BaseParser(object): """ All parsers should extend `BaseParser`, specifying a `media_type` attribute, and overriding the `.parse()` method. """ media_type = None def parse(self, stream, media_type=None, parser_context=None): """ Given a stream to read from, return the parsed representation. Should return parsed data, or a `DataAndFiles` object consisting of the parsed data and files. """ raise NotImplementedError(".parse() must be overridden.")
从parse方法的注释,也能够看出parse返回的多是解析后的数据,也有多是DataAndFiles对象。json
parse方法中的参数:stream即为要解析的数据,app
parse_context为须要解析时须要提供的配置,url
class DataAndFiles(object): def __init__(self, data, files): self.data = data self.files = files
能够看出DataAndFiles仅仅是data和files的集合。只有MultiPartParser和FileUploadParser才返回DataAndFiles对象。spa
parser.py一共有如下多种类,JSONParser,YAMLParser,FormParser,MultiPartParser,XMLParser,FileUploadParser。code
首先看JSONParser的定义:orm
class JSONParser(BaseParser): """ Parses JSON-serialized data. """ media_type = 'application/json' def parse(self, stream, media_type=None, parser_context=None): """ Parses the incoming bytestream as JSON and returns the resulting data. """ parser_context = parser_context or {} encoding = parser_context.get('encoding', settings.DEFAULT_CHARSET) try: data = stream.read().decode(encoding) return json.loads(data) except ValueError as exc: raise ParseError('JSON parse error - %s' % six.text_type(exc))
经过parse_context获取encoding,而后解码stream,利用json库中的loads方法解析并返回数据。对象
其实YAMLParser和XMLParser,是跟JSONParser的步骤同样的,只不过调用不一样的库来解析数据。ci
再来看一下通用的FormPaser,用于解析'application/x-www-form-urlencoded'类型的数据,这种数据是POST方法提交数据,默认的格式。它只不过直接被实例化了QueryDict对象。get
class FormParser(BaseParser): """ Parser for form data. """ media_type = 'application/x-www-form-urlencoded' def parse(self, stream, media_type=None, parser_context=None): """ Parses the incoming bytestream as a URL encoded form, and returns the resulting QueryDict. """ parser_context = parser_context or {} encoding = parser_context.get('encoding', settings.DEFAULT_CHARSET) data = QueryDict(stream.read(), encoding=encoding) return data