1 files changed, 44 insertions, 80 deletions
diff --git a/rest_framework/utils/encoders.py b/rest_framework/utils/encoders.py
index b26a2085..2160d18b 100644
--- a/rest_framework/utils/encoders.py
+++ b/rest_framework/utils/encoders.py
@@ -2,96 +2,60 @@
 Helper classes for parsers.
 """
 from __future__ import unicode_literals
-from django.utils.datastructures import SortedDict
+from django.db.models.query import QuerySet
+from django.utils import six, timezone
+from django.utils.encoding import force_text
 from django.utils.functional import Promise
-from rest_framework.compat import timezone, force_text
-from rest_framework.serializers import DictWithMetadata, SortedDictWithMetadata
+from rest_framework.compat import total_seconds
 import datetime
 import decimal
-import types
 import json
+import uuid
 
 
 class JSONEncoder(json.JSONEncoder):
     """
     JSONEncoder subclass that knows how to encode date/time/timedelta,
-    decimal types, and generators.
+    decimal types, generators and other basic python objects.
     """
-    def default(self, o):
+    def default(self, obj):
         # For Date Time string spec, see ECMA 262
         # http://ecma-international.org/ecma-262/5.1/#sec-15.9.1.15
-        if isinstance(o, Promise):
-            return force_text(o)
-        elif isinstance(o, datetime.datetime):
-            r = o.isoformat()
-            if o.microsecond:
-                r = r[:23] + r[26:]
-            if r.endswith('+00:00'):
-                r = r[:-6] + 'Z'
-            return r
-        elif isinstance(o, datetime.date):
-            return o.isoformat()
-        elif isinstance(o, datetime.time):
-            if timezone and timezone.is_aware(o):
+        if isinstance(obj, Promise):
+            return force_text(obj)
+        elif isinstance(obj, datetime.datetime):
+            representation = obj.isoformat()
+            if obj.microsecond:
+                representation = representation[:23] + representation[26:]
+            if representation.endswith('+00:00'):
+                representation = representation[:-6] + 'Z'
+            return representation
+        elif isinstance(obj, datetime.date):
+            return obj.isoformat()
+        elif isinstance(obj, datetime.time):
+            if timezone and timezone.is_aware(obj):
                 raise ValueError("JSON can't represent timezone-aware times.")
-            r = o.isoformat()
-            if o.microsecond:
-                r = r[:12]
-            return r
-        elif isinstance(o, datetime.timedelta):
-            return str(o.total_seconds())
-        elif isinstance(o, decimal.Decimal):
-            return str(o)
-        elif hasattr(o, '__iter__'):
-            return [i for i in o]
-        return super(JSONEncoder, self).default(o)
-
-
-try:
-    import yaml
-except ImportError:
-    SafeDumper = None
-else:
-    # Adapted from http://pyyaml.org/attachment/ticket/161/use_ordered_dict.py
-    class SafeDumper(yaml.SafeDumper):
-        """
-        Handles decimals as strings.
-        Handles SortedDicts as usual dicts, but preserves field order, rather
-        than the usual behaviour of sorting the keys.
-        """
-        def represent_decimal(self, data):
-            return self.represent_scalar('tag:yaml.org,2002:str', str(data))
-
-        def represent_mapping(self, tag, mapping, flow_style=None):
-            value = []
-            node = yaml.MappingNode(tag, value, flow_style=flow_style)
-            if self.alias_key is not None:
-                self.represented_objects[self.alias_key] = node
-            best_style = True
-            if hasattr(mapping, 'items'):
-                mapping = list(mapping.items())
-                if not isinstance(mapping, SortedDict):
-                    mapping.sort()
-            for item_key, item_value in mapping:
-                node_key = self.represent_data(item_key)
-                node_value = self.represent_data(item_value)
-                if not (isinstance(node_key, yaml.ScalarNode) and not node_key.style):
-                    best_style = False
-                if not (isinstance(node_value, yaml.ScalarNode) and not node_value.style):
-                    best_style = False
-                value.append((node_key, node_value))
-            if flow_style is None:
-                if self.default_flow_style is not None:
-                    node.flow_style = self.default_flow_style
-                else:
-                    node.flow_style = best_style
-            return node
-
-    SafeDumper.add_representer(SortedDict,
-            yaml.representer.SafeRepresenter.represent_dict)
-    SafeDumper.add_representer(DictWithMetadata,
-            yaml.representer.SafeRepresenter.represent_dict)
-    SafeDumper.add_representer(SortedDictWithMetadata,
-            yaml.representer.SafeRepresenter.represent_dict)
-    SafeDumper.add_representer(types.GeneratorType,
-            yaml.representer.SafeRepresenter.represent_list)
+            representation = obj.isoformat()
+            if obj.microsecond:
+                representation = representation[:12]
+            return representation
+        elif isinstance(obj, datetime.timedelta):
+            return six.text_type(total_seconds(obj))
+        elif isinstance(obj, decimal.Decimal):
+            # Serializers will coerce decimals to strings by default.
+            return float(obj)
+        elif isinstance(obj, uuid.UUID):
+            return six.text_type(obj)
+        elif isinstance(obj, QuerySet):
+            return tuple(obj)
+        elif hasattr(obj, 'tolist'):
+            # Numpy arrays and array scalars.
+            return obj.tolist()
+        elif hasattr(obj, '__getitem__'):
+            try:
+                return dict(obj)
+            except:
+                pass
+        elif hasattr(obj, '__iter__'):
+            return tuple(item for item in obj)
+        return super(JSONEncoder, self).default(obj)