# 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, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from ai_assistant_server_connector_v2.models.assistant_usage_type import AssistantUsageType
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class AiAssistantUsageLogRead(BaseModel):
    """
    AiAssistantUsageLogRead
    """ # noqa: E501
    ai_assistant_id: StrictInt
    commited_at: Optional[StrictInt] = None
    created_at: StrictInt
    id: StrictInt
    incoming_tokens: Optional[StrictInt] = None
    model: StrictStr
    outgoing_tokens: Optional[StrictInt] = None
    portal_member_id: StrictInt
    price_incoming: Optional[Union[StrictFloat, StrictInt]] = None
    price_outgoing: Optional[Union[StrictFloat, StrictInt]] = None
    price_usd: Optional[Union[StrictFloat, StrictInt]] = None
    session_id: StrictStr
    usage_type: AssistantUsageType
    __properties: ClassVar[List[str]] = ["ai_assistant_id", "commited_at", "created_at", "id", "incoming_tokens", "model", "outgoing_tokens", "portal_member_id", "price_incoming", "price_outgoing", "price_usd", "session_id", "usage_type"]

    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 AiAssistantUsageLogRead 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 AiAssistantUsageLogRead from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "ai_assistant_id": obj.get("ai_assistant_id"),
            "commited_at": obj.get("commited_at"),
            "created_at": obj.get("created_at"),
            "id": obj.get("id"),
            "incoming_tokens": obj.get("incoming_tokens"),
            "model": obj.get("model"),
            "outgoing_tokens": obj.get("outgoing_tokens"),
            "portal_member_id": obj.get("portal_member_id"),
            "price_incoming": obj.get("price_incoming"),
            "price_outgoing": obj.get("price_outgoing"),
            "price_usd": obj.get("price_usd"),
            "session_id": obj.get("session_id"),
            "usage_type": obj.get("usage_type")
        })
        return _obj


