# coding: utf-8

"""
    Hindsight HTTP API

    HTTP API for Hindsight

    The version of the OpenAPI document: 0.4.20
    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, StrictBool, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class MentalModelTrigger(BaseModel):
    """
    Trigger settings for a mental model.
    """ # noqa: E501
    refresh_after_consolidation: Optional[StrictBool] = Field(default=False, description="If true, refresh this mental model after observations consolidation (real-time mode)")
    fact_types: Optional[List[StrictStr]] = None
    exclude_mental_models: Optional[StrictBool] = Field(default=False, description="If true, exclude all mental models from the reflect loop (skip search_mental_models tool).")
    exclude_mental_model_ids: Optional[List[StrictStr]] = None
    __properties: ClassVar[List[str]] = ["refresh_after_consolidation", "fact_types", "exclude_mental_models", "exclude_mental_model_ids"]

    @field_validator('fact_types')
    def fact_types_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        for i in value:
            if i not in set(['world', 'experience', 'observation']):
                raise ValueError("each list item must be one of ('world', 'experience', 'observation')")
        return value

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "refresh_after_consolidation": obj.get("refresh_after_consolidation") if obj.get("refresh_after_consolidation") is not None else False,
            "fact_types": obj.get("fact_types"),
            "exclude_mental_models": obj.get("exclude_mental_models") if obj.get("exclude_mental_models") is not None else False,
            "exclude_mental_model_ids": obj.get("exclude_mental_model_ids")
        })
        return _obj


