# 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, StrictBool, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from neurograph.v1.models.signal_client_info import SignalClientInfo
from neurograph.v1.models.signal_client_signal_totals import SignalClientSignalTotals
from neurograph.v1.models.signal_daily_intent_band import SignalDailyIntentBand
from neurograph.v1.models.signal_daily_purchase_metrics import SignalDailyPurchaseMetrics
from neurograph.v1.models.signal_date_range import SignalDateRange
from neurograph.v1.models.signal_persona_conversion import SignalPersonaConversion
from typing import Optional, Set
from typing_extensions import Self

class SignalClientSignalDetailsResponse(BaseModel):
    """
    SignalClientSignalDetailsResponse
    """ # noqa: E501
    cached: Optional[StrictBool] = None
    client_info: Optional[SignalClientInfo] = None
    daily_intent: Optional[List[SignalDailyIntentBand]] = None
    daily_purchases: Optional[List[SignalDailyPurchaseMetrics]] = None
    date_range: Optional[SignalDateRange] = None
    error: Optional[StrictStr] = None
    persona_breakdown: Optional[List[SignalPersonaConversion]] = None
    query_time_ms: Optional[StrictInt] = None
    totals: Optional[SignalClientSignalTotals] = None
    __properties: ClassVar[List[str]] = ["cached", "client_info", "daily_intent", "daily_purchases", "date_range", "error", "persona_breakdown", "query_time_ms", "totals"]

    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 SignalClientSignalDetailsResponse 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,
        )
        # override the default output from pydantic by calling `to_dict()` of client_info
        if self.client_info:
            _dict['client_info'] = self.client_info.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in daily_intent (list)
        _items = []
        if self.daily_intent:
            for _item_daily_intent in self.daily_intent:
                if _item_daily_intent:
                    _items.append(_item_daily_intent.to_dict())
            _dict['daily_intent'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in daily_purchases (list)
        _items = []
        if self.daily_purchases:
            for _item_daily_purchases in self.daily_purchases:
                if _item_daily_purchases:
                    _items.append(_item_daily_purchases.to_dict())
            _dict['daily_purchases'] = _items
        # override the default output from pydantic by calling `to_dict()` of date_range
        if self.date_range:
            _dict['date_range'] = self.date_range.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in persona_breakdown (list)
        _items = []
        if self.persona_breakdown:
            for _item_persona_breakdown in self.persona_breakdown:
                if _item_persona_breakdown:
                    _items.append(_item_persona_breakdown.to_dict())
            _dict['persona_breakdown'] = _items
        # override the default output from pydantic by calling `to_dict()` of totals
        if self.totals:
            _dict['totals'] = self.totals.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "cached": obj.get("cached"),
            "client_info": SignalClientInfo.from_dict(obj["client_info"]) if obj.get("client_info") is not None else None,
            "daily_intent": [SignalDailyIntentBand.from_dict(_item) for _item in obj["daily_intent"]] if obj.get("daily_intent") is not None else None,
            "daily_purchases": [SignalDailyPurchaseMetrics.from_dict(_item) for _item in obj["daily_purchases"]] if obj.get("daily_purchases") is not None else None,
            "date_range": SignalDateRange.from_dict(obj["date_range"]) if obj.get("date_range") is not None else None,
            "error": obj.get("error"),
            "persona_breakdown": [SignalPersonaConversion.from_dict(_item) for _item in obj["persona_breakdown"]] if obj.get("persona_breakdown") is not None else None,
            "query_time_ms": obj.get("query_time_ms"),
            "totals": SignalClientSignalTotals.from_dict(obj["totals"]) if obj.get("totals") is not None else None
        })
        return _obj


