mirror of
https://github.com/encode/django-rest-framework.git
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121 lines
4.4 KiB
Python
121 lines
4.4 KiB
Python
"""
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Helper classes for parsers.
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"""
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from __future__ import unicode_literals
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from django.db.models.query import QuerySet
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from django.utils import six, timezone
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from django.utils.functional import Promise
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from rest_framework.compat import force_text, OrderedDict
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import datetime
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import decimal
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import types
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import json
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class JSONEncoder(json.JSONEncoder):
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"""
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JSONEncoder subclass that knows how to encode date/time/timedelta,
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decimal types, generators and other basic python objects.
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"""
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def default(self, obj):
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# For Date Time string spec, see ECMA 262
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# http://ecma-international.org/ecma-262/5.1/#sec-15.9.1.15
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if isinstance(obj, Promise):
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return force_text(obj)
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elif isinstance(obj, datetime.datetime):
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representation = obj.isoformat()
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if obj.microsecond:
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representation = representation[:23] + representation[26:]
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if representation.endswith('+00:00'):
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representation = representation[:-6] + 'Z'
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return representation
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elif isinstance(obj, datetime.date):
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return obj.isoformat()
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elif isinstance(obj, datetime.time):
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if timezone and timezone.is_aware(obj):
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raise ValueError("JSON can't represent timezone-aware times.")
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representation = obj.isoformat()
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if obj.microsecond:
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representation = representation[:12]
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return representation
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elif isinstance(obj, datetime.timedelta):
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return six.text_type(obj.total_seconds())
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elif isinstance(obj, decimal.Decimal):
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# Serializers will coerce decimals to strings by default.
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return float(obj)
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elif isinstance(obj, QuerySet):
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return tuple(obj)
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elif hasattr(obj, 'tolist'):
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# Numpy arrays and array scalars.
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return obj.tolist()
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elif hasattr(obj, '__getitem__'):
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try:
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return dict(obj)
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except:
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pass
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elif hasattr(obj, '__iter__'):
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return tuple(item for item in obj)
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return super(JSONEncoder, self).default(obj)
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try:
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import yaml
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except ImportError:
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SafeDumper = None
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else:
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# Adapted from http://pyyaml.org/attachment/ticket/161/use_ordered_dict.py
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class SafeDumper(yaml.SafeDumper):
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"""
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Handles decimals as strings.
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Handles OrderedDicts as usual dicts, but preserves field order, rather
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than the usual behaviour of sorting the keys.
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"""
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def represent_decimal(self, data):
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return self.represent_scalar('tag:yaml.org,2002:str', six.text_type(data))
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def represent_mapping(self, tag, mapping, flow_style=None):
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value = []
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node = yaml.MappingNode(tag, value, flow_style=flow_style)
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if self.alias_key is not None:
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self.represented_objects[self.alias_key] = node
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best_style = True
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if hasattr(mapping, 'items'):
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mapping = list(mapping.items())
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if not isinstance(mapping, OrderedDict):
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mapping.sort()
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for item_key, item_value in mapping:
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node_key = self.represent_data(item_key)
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node_value = self.represent_data(item_value)
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if not (isinstance(node_key, yaml.ScalarNode) and not node_key.style):
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best_style = False
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if not (isinstance(node_value, yaml.ScalarNode) and not node_value.style):
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best_style = False
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value.append((node_key, node_value))
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if flow_style is None:
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if self.default_flow_style is not None:
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node.flow_style = self.default_flow_style
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else:
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node.flow_style = best_style
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return node
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SafeDumper.add_representer(
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decimal.Decimal,
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SafeDumper.represent_decimal
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)
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SafeDumper.add_representer(
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OrderedDict,
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yaml.representer.SafeRepresenter.represent_dict
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)
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# SafeDumper.add_representer(
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# DictWithMetadata,
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# yaml.representer.SafeRepresenter.represent_dict
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# )
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# SafeDumper.add_representer(
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# OrderedDictWithMetadata,
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# yaml.representer.SafeRepresenter.represent_dict
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# )
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SafeDumper.add_representer(
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types.GeneratorType,
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yaml.representer.SafeRepresenter.represent_list
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)
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