# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.

from enum import Enum
from typing import Any, Literal, Protocol, runtime_checkable

from pydantic import BaseModel, ConfigDict, Field

from llama_stack.apis.resource import Resource, ResourceType
from llama_stack.providers.utils.telemetry.trace_protocol import trace_protocol
from llama_stack.schema_utils import json_schema_type, webmethod


class CommonModelFields(BaseModel):
    metadata: dict[str, Any] = Field(
        default_factory=dict,
        description="Any additional metadata for this model",
    )


@json_schema_type
class ModelType(str, Enum):
    llm = "llm"
    embedding = "embedding"


@json_schema_type
class Model(CommonModelFields, Resource):
    type: Literal[ResourceType.model.value] = ResourceType.model.value

    @property
    def model_id(self) -> str:
        return self.identifier

    @property
    def provider_model_id(self) -> str:
        return self.provider_resource_id

    model_config = ConfigDict(protected_namespaces=())

    model_type: ModelType = Field(default=ModelType.llm)


class ModelInput(CommonModelFields):
    model_id: str
    provider_id: str | None = None
    provider_model_id: str | None = None
    model_type: ModelType | None = ModelType.llm
    model_config = ConfigDict(protected_namespaces=())


class ListModelsResponse(BaseModel):
    data: list[Model]


@json_schema_type
class OpenAIModel(BaseModel):
    """A model from OpenAI.

    :id: The ID of the model
    :object: The object type, which will be "model"
    :created: The Unix timestamp in seconds when the model was created
    :owned_by: The owner of the model
    """

    id: str
    object: Literal["model"] = "model"
    created: int
    owned_by: str


class OpenAIListModelsResponse(BaseModel):
    data: list[OpenAIModel]


@runtime_checkable
@trace_protocol
class Models(Protocol):
    @webmethod(route="/models", method="GET")
    async def list_models(self) -> ListModelsResponse: ...

    @webmethod(route="/openai/v1/models", method="GET")
    async def openai_list_models(self) -> OpenAIListModelsResponse: ...

    @webmethod(route="/models/{model_id:path}", method="GET")
    async def get_model(
        self,
        model_id: str,
    ) -> Model: ...

    @webmethod(route="/models", method="POST")
    async def register_model(
        self,
        model_id: str,
        provider_model_id: str | None = None,
        provider_id: str | None = None,
        metadata: dict[str, Any] | None = None,
        model_type: ModelType | None = None,
    ) -> Model: ...

    @webmethod(route="/models/{model_id:path}", method="DELETE")
    async def unregister_model(
        self,
        model_id: str,
    ) -> None: ...