goose/api_clients/python/goose_api/models/session_display_info.py

# coding: utf-8

"""
    goose-server

    An AI agent

    The version of the OpenAPI document: 1.9.0
    Contact: ai-oss-tools@block.xyz
    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 typing import Optional, Set
from typing_extensions import Self

class SessionDisplayInfo(BaseModel):
    """
    SessionDisplayInfo
    """ # noqa: E501
    accumulated_input_tokens: Optional[StrictInt] = Field(default=None, alias="accumulatedInputTokens")
    accumulated_output_tokens: Optional[StrictInt] = Field(default=None, alias="accumulatedOutputTokens")
    accumulated_total_tokens: Optional[StrictInt] = Field(default=None, alias="accumulatedTotalTokens")
    created_at: StrictStr = Field(alias="createdAt")
    id: StrictStr
    input_tokens: Optional[StrictInt] = Field(default=None, alias="inputTokens")
    message_count: Annotated[int, Field(strict=True, ge=0)] = Field(alias="messageCount")
    name: StrictStr
    output_tokens: Optional[StrictInt] = Field(default=None, alias="outputTokens")
    schedule_id: Optional[StrictStr] = Field(default=None, alias="scheduleId")
    total_tokens: Optional[StrictInt] = Field(default=None, alias="totalTokens")
    working_dir: StrictStr = Field(alias="workingDir")
    __properties: ClassVar[List[str]] = ["accumulatedInputTokens", "accumulatedOutputTokens", "accumulatedTotalTokens", "createdAt", "id", "inputTokens", "messageCount", "name", "outputTokens", "scheduleId", "totalTokens", "workingDir"]

    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 SessionDisplayInfo 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 accumulated_input_tokens (nullable) is None
        # and model_fields_set contains the field
        if self.accumulated_input_tokens is None and "accumulated_input_tokens" in self.model_fields_set:
            _dict['accumulatedInputTokens'] = None

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

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

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

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

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "accumulatedInputTokens": obj.get("accumulatedInputTokens"),
            "accumulatedOutputTokens": obj.get("accumulatedOutputTokens"),
            "accumulatedTotalTokens": obj.get("accumulatedTotalTokens"),
            "createdAt": obj.get("createdAt"),
            "id": obj.get("id"),
            "inputTokens": obj.get("inputTokens"),
            "messageCount": obj.get("messageCount"),
            "name": obj.get("name"),
            "outputTokens": obj.get("outputTokens"),
            "scheduleId": obj.get("scheduleId"),
            "totalTokens": obj.get("totalTokens"),
            "workingDir": obj.get("workingDir")
        })
        return _obj