# coding: utf-8

"""
    Mentortools AI API

    Mentortools service for ai interactions

    The version of the OpenAPI document: 0.1.0
    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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from ai_assistant_server_connector_v2.models.fact_type import FactType
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class MemoryFactRecordRequest(BaseModel):
    """
    Payload for the ``remember`` tool — write one fact synchronously.  Triggered when the user explicitly tells the agent to remember something. Bypasses the post-hoc extractor (which runs async) so the agent's \"I'll remember that\" confirmation is grounded in an actual write.
    """ # noqa: E501
    chat_id: Optional[StrictInt] = None
    content: Annotated[str, Field(min_length=1, strict=True)]
    fact_type: Optional[FactType] = None
    importance: Optional[Annotated[int, Field(le=10, strict=True, ge=1)]] = 9
    portal_member_id: StrictInt
    run_id: Optional[StrictStr] = None
    __properties: ClassVar[List[str]] = ["chat_id", "content", "fact_type", "importance", "portal_member_id", "run_id"]

    model_config = ConfigDict(
        validate_by_name=True,
        validate_by_alias=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"""
        return json.dumps(to_jsonable_python(self.to_dict()))

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

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

        _obj = cls.model_validate({
            "chat_id": obj.get("chat_id"),
            "content": obj.get("content"),
            "fact_type": obj.get("fact_type"),
            "importance": obj.get("importance") if obj.get("importance") is not None else 9,
            "portal_member_id": obj.get("portal_member_id"),
            "run_id": obj.get("run_id")
        })
        return _obj


