from collections import UserList
from typing import Any, Callable, Dict, Iterable, Optional, Sequence, Type

from xsdata.formats.converter import QNameConverter, converter
from xsdata.models.enums import QNames
from xsdata.utils import collections, constants, text
from xsdata.utils.namespaces import build_qname


class PendingCollection(UserList):
    def __init__(self, initlist: Optional[Iterable], factory: Optional[Callable]):
        super().__init__(initlist)
        self.factory = factory or list

    def evaluate(self) -> Iterable:
        return self.factory(self.data)


class ParserUtils:
    @classmethod
    def xsi_type(cls, attrs: Dict, ns_map: Dict) -> Optional[str]:
        """Parse the xsi:type attribute if present."""
        xsi_type = attrs.get(QNames.XSI_TYPE)
        if not xsi_type:
            return None

        namespace, name = QNameConverter.resolve(xsi_type, ns_map)
        return build_qname(namespace, name)

    @classmethod
    def xsi_nil(cls, attrs: Dict) -> Optional[bool]:
        xsi_nil = attrs.get(QNames.XSI_NIL)
        return xsi_nil == constants.XML_TRUE if xsi_nil else None

    @classmethod
    def parse_value(
        cls,
        value: Any,
        types: Sequence[Type],
        default: Optional[Any] = None,
        ns_map: Optional[Dict] = None,
        tokens_factory: Optional[Callable] = None,
        format: Optional[str] = None,
    ) -> Any:
        """Convert xml string values to s python primitive type."""

        if value is None:
            if callable(default):
                return default() if tokens_factory else None

            return default

        if tokens_factory:
            value = value if collections.is_array(value) else value.split()
            return tokens_factory(
                converter.deserialize(val, types, ns_map=ns_map, format=format)
                for val in value
            )

        return converter.deserialize(value, types, ns_map=ns_map, format=format)

    @classmethod
    def normalize_content(cls, value: Optional[str]) -> Optional[str]:
        """
        Normalize element text or tail content.

        If content is just whitespace return None, otherwise preserve
        the original content.
        """
        if value and value.strip():
            return value

        return None

    @classmethod
    def parse_any_attributes(cls, attrs: Dict, ns_map: Dict) -> Dict:
        return {
            key: cls.parse_any_attribute(value, ns_map) for key, value in attrs.items()
        }

    @classmethod
    def parse_any_attribute(cls, value: str, ns_map: Dict) -> str:
        """Attempt to parse any attribute."""
        prefix, suffix = text.split(value)
        if prefix and prefix in ns_map and not suffix.startswith("//"):
            value = build_qname(ns_map[prefix], suffix)

        return value