# coding: utf-8

"""
    Hindsight HTTP API

    HTTP API for Hindsight

    The version of the OpenAPI document: 0.6.1
    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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from hindsight_client_api.models.entity_observation_response import EntityObservationResponse
from typing import Optional, Set
from typing_extensions import Self

class EntityDetailResponse(BaseModel):
    """
    Response model for entity detail endpoint.
    """ # noqa: E501
    id: StrictStr
    canonical_name: StrictStr
    mention_count: StrictInt
    first_seen: Optional[StrictStr] = None
    last_seen: Optional[StrictStr] = None
    metadata: Optional[Dict[str, Any]] = None
    observations: List[EntityObservationResponse]
    __properties: ClassVar[List[str]] = ["id", "canonical_name", "mention_count", "first_seen", "last_seen", "metadata", "observations"]

    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 EntityDetailResponse 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 each item in observations (list)
        _items = []
        if self.observations:
            for _item_observations in self.observations:
                if _item_observations:
                    _items.append(_item_observations.to_dict())
            _dict['observations'] = _items
        # set to None if first_seen (nullable) is None
        # and model_fields_set contains the field
        if self.first_seen is None and "first_seen" in self.model_fields_set:
            _dict['first_seen'] = None

        # set to None if last_seen (nullable) is None
        # and model_fields_set contains the field
        if self.last_seen is None and "last_seen" in self.model_fields_set:
            _dict['last_seen'] = None

        # set to None if metadata (nullable) is None
        # and model_fields_set contains the field
        if self.metadata is None and "metadata" in self.model_fields_set:
            _dict['metadata'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "canonical_name": obj.get("canonical_name"),
            "mention_count": obj.get("mention_count"),
            "first_seen": obj.get("first_seen"),
            "last_seen": obj.get("last_seen"),
            "metadata": obj.get("metadata"),
            "observations": [EntityObservationResponse.from_dict(_item) for _item in obj["observations"]] if obj.get("observations") is not None else None
        })
        return _obj


