# coding: utf-8

"""
    Neurograph Core

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    The version of the OpenAPI document: 1.0
    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, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self

class ReportingProductAffinityRow(BaseModel):
    """
    ReportingProductAffinityRow
    """ # noqa: E501
    avg_engagement_score: Optional[Union[StrictFloat, StrictInt]] = None
    avg_lifetime_value: Optional[Union[StrictFloat, StrictInt]] = None
    avg_view_count: Optional[Union[StrictFloat, StrictInt]] = None
    client_partition_key: Optional[StrictStr] = None
    confidence_level: Optional[StrictInt] = None
    conversion_rate: Optional[Union[StrictFloat, StrictInt]] = None
    entity_id: Optional[StrictStr] = None
    normalized_affinity_score: Optional[Union[StrictFloat, StrictInt]] = None
    partition_date: Optional[StrictStr] = None
    product_handle: Optional[StrictStr] = None
    product_id: Optional[StrictStr] = None
    product_name: Optional[StrictStr] = None
    product_type: Optional[StrictStr] = None
    raw_affinity_score: Optional[Union[StrictFloat, StrictInt]] = None
    score_penalty: Optional[Union[StrictFloat, StrictInt]] = None
    total_conversions: Optional[StrictInt] = None
    total_visitors: Optional[StrictInt] = None
    weighted_conversion_score: Optional[Union[StrictFloat, StrictInt]] = None
    __properties: ClassVar[List[str]] = ["avg_engagement_score", "avg_lifetime_value", "avg_view_count", "client_partition_key", "confidence_level", "conversion_rate", "entity_id", "normalized_affinity_score", "partition_date", "product_handle", "product_id", "product_name", "product_type", "raw_affinity_score", "score_penalty", "total_conversions", "total_visitors", "weighted_conversion_score"]

    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 ReportingProductAffinityRow 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 ReportingProductAffinityRow from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "avg_engagement_score": obj.get("avg_engagement_score"),
            "avg_lifetime_value": obj.get("avg_lifetime_value"),
            "avg_view_count": obj.get("avg_view_count"),
            "client_partition_key": obj.get("client_partition_key"),
            "confidence_level": obj.get("confidence_level"),
            "conversion_rate": obj.get("conversion_rate"),
            "entity_id": obj.get("entity_id"),
            "normalized_affinity_score": obj.get("normalized_affinity_score"),
            "partition_date": obj.get("partition_date"),
            "product_handle": obj.get("product_handle"),
            "product_id": obj.get("product_id"),
            "product_name": obj.get("product_name"),
            "product_type": obj.get("product_type"),
            "raw_affinity_score": obj.get("raw_affinity_score"),
            "score_penalty": obj.get("score_penalty"),
            "total_conversions": obj.get("total_conversions"),
            "total_visitors": obj.get("total_visitors"),
            "weighted_conversion_score": obj.get("weighted_conversion_score")
        })
        return _obj


