mirror of
https://github.com/encode/django-rest-framework.git
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108 lines
3.9 KiB
Python
108 lines
3.9 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.utils.datastructures import SortedDict
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from django.utils.functional import Promise
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from rest_framework.compat import timezone, force_text
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from rest_framework.serializers import DictWithMetadata, SortedDictWithMetadata
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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, and generators.
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"""
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def default(self, o):
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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(o, Promise):
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return force_text(o)
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elif isinstance(o, datetime.datetime):
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r = o.isoformat()
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if o.microsecond:
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r = r[:23] + r[26:]
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if r.endswith('+00:00'):
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r = r[:-6] + 'Z'
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return r
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elif isinstance(o, datetime.date):
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return o.isoformat()
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elif isinstance(o, datetime.time):
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if timezone and timezone.is_aware(o):
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raise ValueError("JSON can't represent timezone-aware times.")
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r = o.isoformat()
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if o.microsecond:
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r = r[:12]
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return r
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elif isinstance(o, datetime.timedelta):
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return str(o.total_seconds())
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elif isinstance(o, decimal.Decimal):
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return str(o)
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elif hasattr(o, 'tolist'):
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return o.tolist()
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elif hasattr(o, '__getitem__'):
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try:
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return dict(o)
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except:
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pass
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elif hasattr(o, '__iter__'):
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return [i for i in o]
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return super(JSONEncoder, self).default(o)
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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 SortedDicts 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', str(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, SortedDict):
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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(decimal.Decimal,
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SafeDumper.represent_decimal)
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SafeDumper.add_representer(SortedDict,
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yaml.representer.SafeRepresenter.represent_dict)
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SafeDumper.add_representer(DictWithMetadata,
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yaml.representer.SafeRepresenter.represent_dict)
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SafeDumper.add_representer(SortedDictWithMetadata,
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yaml.representer.SafeRepresenter.represent_dict)
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SafeDumper.add_representer(types.GeneratorType,
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yaml.representer.SafeRepresenter.represent_list)
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