# coding: utf-8

"""
    Mentortools Chat API

    Mentortools service for chatting

    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 typing import Optional, Union
from pydantic import BaseModel, Field, StrictFloat, StrictInt, StrictStr
from chat_server_connector.models.credit_event_type import CreditEventType
from chat_server_connector.models.mt_breakdown import MtBreakdown

class AiUsageLogRead(BaseModel):
    """
    One MT-credit log row as exposed to the portal view.  Sourced from log_server's `CreditLog`. `mt_breakdown` is populated only when the row represents AI-assistant usage and we successfully fetched per-call usage data plus portal-plan weights — best-effort enrichment.  # noqa: E501
    """
    event_type: CreditEventType = Field(...)
    spend_type: StrictStr = Field(...)
    mt_credits: Union[StrictFloat, StrictInt] = Field(...)
    created_at: StrictInt = Field(...)
    mt_breakdown: Optional[MtBreakdown] = None
    __properties = ["event_type", "spend_type", "mt_credits", "created_at", "mt_breakdown"]

    class Config:
        """Pydantic configuration"""
        allow_population_by_field_name = True
        validate_assignment = True

    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.dict(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> AiUsageLogRead:
        """Create an instance of AiUsageLogRead from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self):
        """Returns the dictionary representation of the model using alias"""
        _dict = self.dict(by_alias=True,
                          exclude={
                          },
                          exclude_none=True)
        # override the default output from pydantic by calling `to_dict()` of mt_breakdown
        if self.mt_breakdown:
            _dict['mt_breakdown'] = self.mt_breakdown.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: dict) -> AiUsageLogRead:
        """Create an instance of AiUsageLogRead from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return AiUsageLogRead.parse_obj(obj)

        _obj = AiUsageLogRead.parse_obj({
            "event_type": obj.get("event_type"),
            "spend_type": obj.get("spend_type"),
            "mt_credits": obj.get("mt_credits"),
            "created_at": obj.get("created_at"),
            "mt_breakdown": MtBreakdown.from_dict(obj.get("mt_breakdown")) if obj.get("mt_breakdown") is not None else None
        })
        return _obj


