# coding: utf-8

"""
    Pinterest REST API

    Pinterest's REST API

    The version of the OpenAPI document: 5.23.0
    Contact: blah+oapicf@cliffano.com
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class LineItem(BaseModel):
    """
    LineItem
    """ # noqa: E501
    product_brand: Optional[StrictStr] = Field(default=None, description="Product brand. For example, 'Parker'.")
    product_category: Optional[StrictStr] = Field(default=None, description="Product category. For example, 'Shoes'.")
    product_id: Optional[StrictInt] = Field(default=None, description="Product ID. For example, 1414.")
    product_name: Optional[StrictStr] = Field(default=None, description="Product name. For example, 'Parker Boots'.")
    product_price: Optional[StrictStr] = Field(default=None, description="Product price. For example, '99.99'.")
    product_quantity: Optional[StrictInt] = Field(default=None, description="Product quantity. For example, 2.")
    product_variant: Optional[StrictStr] = Field(default=None, description="Product variant. For example, 'Red'.")
    product_variant_id: Optional[StrictStr] = Field(default=None, description="Product variant ID. For example, '1414-34832'.")
    __properties: ClassVar[List[str]] = ["product_brand", "product_category", "product_id", "product_name", "product_price", "product_quantity", "product_variant", "product_variant_id"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )


    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of LineItem from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias.

        This has the following differences from calling pydantic's
        `self.model_dump(by_alias=True)`:

        * `None` is only added to the output dict for nullable fields that
          were set at model initialization. Other fields with value `None`
          are ignored.
        """
        excluded_fields: Set[str] = set([
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of LineItem from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "product_brand": obj.get("product_brand"),
            "product_category": obj.get("product_category"),
            "product_id": obj.get("product_id"),
            "product_name": obj.get("product_name"),
            "product_price": obj.get("product_price"),
            "product_quantity": obj.get("product_quantity"),
            "product_variant": obj.get("product_variant"),
            "product_variant_id": obj.get("product_variant_id")
        })
        return _obj


