Source code for pydelfini.delfini_core.models.item_parser

from typing import Any
from typing import cast
from typing import Dict
from typing import Type
from typing import TypeVar
from typing import Union

from attrs import define as _attrs_define

from ..models.item_parser_options import ItemParserOptions
from ..types import UNSET
from ..types import Unset


T = TypeVar("T", bound="ItemParser")




@_attrs_define
class ItemParser:
    """ItemParser model

    Example:

    >>> model = ItemParser.from_dict({'name': 'auto'})

    Attributes:
        name (str):
        cache_max_ttl (Union[None, Unset, float]): Cache max age in seconds, or null for unlimited
        options (Union[Unset, ItemParserOptions]):
    """

    name: str
    cache_max_ttl: Union[None, Unset, float] = UNSET
    options: Union[Unset, "ItemParserOptions"] = UNSET



    def to_dict(self) -> Dict[str, Any]:
        """Convert to a dict"""
        name = self.name
        cache_max_ttl: Union[None, Unset, float]
        if isinstance(self.cache_max_ttl, Unset):
            cache_max_ttl = UNSET
        else:
            cache_max_ttl = self.cache_max_ttl
        options: Union[Unset, Dict[str, Any]] = UNSET
        if not isinstance(self.options, Unset):
            options = self.options.to_dict()

        field_dict: Dict[str, Any] = {}
        field_dict.update(
            {
                "name": name,
            }
        )
        if cache_max_ttl is not UNSET:
            field_dict["cache_max_ttl"] = cache_max_ttl
        if options is not UNSET:
            field_dict["options"] = options

        return field_dict




    @classmethod
    def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
        """Create an instance of :py:class:`ItemParser` from a dict"""
        d = src_dict.copy()
        name = d.pop("name")

        def _parse_cache_max_ttl(data: object) -> Union[None, Unset, float]:
            if data is None:
                return data
            if isinstance(data, Unset):
                return data
            return cast(Union[None, Unset, float], data)

        cache_max_ttl = _parse_cache_max_ttl(d.pop("cache_max_ttl", UNSET))

        _options = d.pop("options", UNSET)
        options: Union[Unset, ItemParserOptions]
        if isinstance(_options, Unset):
            options = UNSET
        else:
            options = ItemParserOptions.from_dict(_options)

        item_parser = cls(
            name=name,
            cache_max_ttl=cache_max_ttl,
            options=options,
        )

        return item_parser