""" Helper classes for parsers. """ from __future__ import unicode_literals 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 OrderedDict from rest_framework.utils.serializer_helpers import ReturnDict, ReturnList import datetime import decimal import types import json class JSONEncoder(json.JSONEncoder): """ JSONEncoder subclass that knows how to encode date/time/timedelta, decimal types, generators and other basic python objects. """ 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(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.") representation = obj.isoformat() if obj.microsecond: representation = representation[:12] return representation elif isinstance(obj, datetime.timedelta): return six.text_type(obj.total_seconds()) elif isinstance(obj, decimal.Decimal): # Serializers will coerce decimals to strings by default. return float(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) 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 OrderedDicts 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', six.text_type(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, OrderedDict): 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( decimal.Decimal, SafeDumper.represent_decimal ) SafeDumper.add_representer( OrderedDict, yaml.representer.SafeRepresenter.represent_dict ) SafeDumper.add_representer( ReturnDict, yaml.representer.SafeRepresenter.represent_dict ) SafeDumper.add_representer( ReturnList, yaml.representer.SafeRepresenter.represent_list ) SafeDumper.add_representer( types.GeneratorType, yaml.representer.SafeRepresenter.represent_list )