"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""

from __future__ import annotations
from .completionargs import CompletionArgs, CompletionArgsTypedDict
from .conversationinputs import ConversationInputs, ConversationInputsTypedDict
from mistralai.types import BaseModel, Nullable, OptionalNullable, UNSET, UNSET_SENTINEL
from pydantic import model_serializer
from typing import Any, Dict, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict


ConversationRestartRequestHandoffExecution = Literal[
    "client",
    "server",
]


ConversationRestartRequestAgentVersionTypedDict = TypeAliasType(
    "ConversationRestartRequestAgentVersionTypedDict", Union[str, int]
)
r"""Specific version of the agent to use when restarting. If not provided, uses the current version."""


ConversationRestartRequestAgentVersion = TypeAliasType(
    "ConversationRestartRequestAgentVersion", Union[str, int]
)
r"""Specific version of the agent to use when restarting. If not provided, uses the current version."""


class ConversationRestartRequestTypedDict(TypedDict):
    r"""Request to restart a new conversation from a given entry in the conversation."""

    inputs: ConversationInputsTypedDict
    from_entry_id: str
    stream: NotRequired[bool]
    store: NotRequired[bool]
    r"""Whether to store the results into our servers or not."""
    handoff_execution: NotRequired[ConversationRestartRequestHandoffExecution]
    completion_args: NotRequired[CompletionArgsTypedDict]
    r"""White-listed arguments from the completion API"""
    metadata: NotRequired[Nullable[Dict[str, Any]]]
    r"""Custom metadata for the conversation."""
    agent_version: NotRequired[
        Nullable[ConversationRestartRequestAgentVersionTypedDict]
    ]
    r"""Specific version of the agent to use when restarting. If not provided, uses the current version."""


class ConversationRestartRequest(BaseModel):
    r"""Request to restart a new conversation from a given entry in the conversation."""

    inputs: ConversationInputs

    from_entry_id: str

    stream: Optional[bool] = False

    store: Optional[bool] = True
    r"""Whether to store the results into our servers or not."""

    handoff_execution: Optional[ConversationRestartRequestHandoffExecution] = "server"

    completion_args: Optional[CompletionArgs] = None
    r"""White-listed arguments from the completion API"""

    metadata: OptionalNullable[Dict[str, Any]] = UNSET
    r"""Custom metadata for the conversation."""

    agent_version: OptionalNullable[ConversationRestartRequestAgentVersion] = UNSET
    r"""Specific version of the agent to use when restarting. If not provided, uses the current version."""

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = [
            "stream",
            "store",
            "handoff_execution",
            "completion_args",
            "metadata",
            "agent_version",
        ]
        nullable_fields = ["metadata", "agent_version"]
        null_default_fields = []

        serialized = handler(self)

        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k)
            serialized.pop(k, None)

            optional_nullable = k in optional_fields and k in nullable_fields
            is_set = (
                self.__pydantic_fields_set__.intersection({n})
                or k in null_default_fields
            )  # pylint: disable=no-member

            if val is not None and val != UNSET_SENTINEL:
                m[k] = val
            elif val != UNSET_SENTINEL and (
                not k in optional_fields or (optional_nullable and is_set)
            ):
                m[k] = val

        return m