"""
Helper classes for parsers.
"""
import datetime
import decimal
import types
from django.utils import simplejson as 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,
    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, 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)