mirror of
https://github.com/encode/django-rest-framework.git
synced 2024-11-23 10:03:57 +03:00
4fc3b1ba56
Whilst this commit adds *encoding* of timedeltas to a string of a floating point value of the seconds, you must add your own serializer field for whatever timedelta model field you are using. This is because Django doesn't support any kind of timedelta field out-of-the-box, so you have to either implement your own or use django-timedelta. If this is the case and you want to serialise timedelta input, you will have to implement your own special field to use for the timedelta, which is not included in core as it is based on a 3rd party library. Here is an example: import datetime import timedelta from django import forms from django.core import validators from django.core.exceptions import ValidationError from django.utils.translation import ugettext_lazy as _ from rest_framework.fields import WritableField class TimedeltaField(WritableField): type_name = 'TimedeltaField' form_field_class = forms.FloatField default_error_messages = { 'invalid': _("'%s' value must be in seconds."), } def from_native(self, value): if value in validators.EMPTY_VALUES: return None try: return datetime.timedelta(seconds=float(value)) except (TypeError, ValueError): msg = self.error_messages['invalid'] % value raise ValidationError(msg) Which is based on the FloatField. This field can then be used in your serializer like this: from yourapp.fields import TimedeltaField class YourSerializer(serializers.ModelSerializer): duration = TimedeltaField()
94 lines
3.5 KiB
Python
94 lines
3.5 KiB
Python
"""
|
|
Helper classes for parsers.
|
|
"""
|
|
import datetime
|
|
import decimal
|
|
import types
|
|
import json
|
|
from django.utils.datastructures import SortedDict
|
|
from rest_framework.compat import timezone
|
|
from rest_framework.serializers import DictWithMetadata, SortedDictWithMetadata
|
|
|
|
|
|
class JSONEncoder(json.JSONEncoder):
|
|
"""
|
|
JSONEncoder subclass that knows how to encode date/time/timedelta,
|
|
decimal types, and generators.
|
|
"""
|
|
def default(self, o):
|
|
# For Date Time string spec, see ECMA 262
|
|
# http://ecma-international.org/ecma-262/5.1/#sec-15.9.1.15
|
|
if 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):
|
|
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)
|