# 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, Field, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self

class PixelDailyClientPixelMetrics(BaseModel):
    """
    PixelDailyClientPixelMetrics
    """ # noqa: E501
    avg_match_confidence: Optional[Union[StrictFloat, StrictInt]] = None
    avg_session_duration: Optional[Union[StrictFloat, StrictInt]] = None
    daily_cost: Optional[Union[StrictFloat, StrictInt]] = None
    var_date: Optional[StrictStr] = Field(default=None, alias="date")
    enriched_visitors: Optional[StrictInt] = None
    enrichment_rate_pct: Optional[Union[StrictFloat, StrictInt]] = None
    match_rate_pct: Optional[Union[StrictFloat, StrictInt]] = None
    matched_hems: Optional[StrictInt] = None
    temporal_matches: Optional[StrictInt] = None
    total_pageviews: Optional[StrictInt] = None
    total_sessions: Optional[StrictInt] = None
    unique_visitors: Optional[StrictInt] = None
    vendor_matches: Optional[StrictInt] = None
    __properties: ClassVar[List[str]] = ["avg_match_confidence", "avg_session_duration", "daily_cost", "date", "enriched_visitors", "enrichment_rate_pct", "match_rate_pct", "matched_hems", "temporal_matches", "total_pageviews", "total_sessions", "unique_visitors", "vendor_matches"]

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

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

        _obj = cls.model_validate({
            "avg_match_confidence": obj.get("avg_match_confidence"),
            "avg_session_duration": obj.get("avg_session_duration"),
            "daily_cost": obj.get("daily_cost"),
            "date": obj.get("date"),
            "enriched_visitors": obj.get("enriched_visitors"),
            "enrichment_rate_pct": obj.get("enrichment_rate_pct"),
            "match_rate_pct": obj.get("match_rate_pct"),
            "matched_hems": obj.get("matched_hems"),
            "temporal_matches": obj.get("temporal_matches"),
            "total_pageviews": obj.get("total_pageviews"),
            "total_sessions": obj.get("total_sessions"),
            "unique_visitors": obj.get("unique_visitors"),
            "vendor_matches": obj.get("vendor_matches")
        })
        return _obj


