# coding: utf-8

"""
    Hindsight HTTP API

    HTTP API for Hindsight

    The version of the OpenAPI document: 0.4.17
    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 hindsight_client_api.models.mental_model_trigger import MentalModelTrigger
from typing import Optional, Set
from typing_extensions import Self

class MentalModelResponse(BaseModel):
    """
    Response model for a mental model (stored reflect response).
    """ # noqa: E501
    id: StrictStr
    bank_id: StrictStr
    name: StrictStr
    source_query: StrictStr
    content: StrictStr = Field(description="The mental model content as well-formatted markdown (auto-generated from reflect endpoint)")
    tags: Optional[List[StrictStr]] = None
    max_tokens: Optional[StrictInt] = 2048
    trigger: Optional[MentalModelTrigger] = None
    last_refreshed_at: Optional[StrictStr] = None
    created_at: Optional[StrictStr] = None
    reflect_response: Optional[Dict[str, Any]] = None
    __properties: ClassVar[List[str]] = ["id", "bank_id", "name", "source_query", "content", "tags", "max_tokens", "trigger", "last_refreshed_at", "created_at", "reflect_response"]

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

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

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

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of MentalModelResponse 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"),
            "bank_id": obj.get("bank_id"),
            "name": obj.get("name"),
            "source_query": obj.get("source_query"),
            "content": obj.get("content"),
            "tags": obj.get("tags"),
            "max_tokens": obj.get("max_tokens") if obj.get("max_tokens") is not None else 2048,
            "trigger": MentalModelTrigger.from_dict(obj["trigger"]) if obj.get("trigger") is not None else None,
            "last_refreshed_at": obj.get("last_refreshed_at"),
            "created_at": obj.get("created_at"),
            "reflect_response": obj.get("reflect_response")
        })
        return _obj


