# 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 typing import Any, Dict, List, Literal, Optional, Protocol, runtime_checkable

from llama_models.schema_utils import json_schema_type, webmethod

from pydantic import BaseModel, Field


@json_schema_type
class EvalTaskDef(BaseModel):
    identifier: str
    dataset_id: str
    scoring_functions: List[str]
    metadata: Dict[str, Any] = Field(
        default_factory=dict,
        description="Metadata for this evaluation task",
    )


@json_schema_type
class EvalTaskDefWithProvider(EvalTaskDef):
    type: Literal["eval_task"] = "eval_task"
    provider_id: str = Field(
        description="ID of the provider which serves this dataset",
    )


@runtime_checkable
class EvalTasks(Protocol):
    @webmethod(route="/eval_tasks/list", method="GET")
    async def list_eval_tasks(self) -> List[EvalTaskDefWithProvider]: ...

    @webmethod(route="/eval_tasks/get", method="GET")
    async def get_eval_task(self, name: str) -> Optional[EvalTaskDefWithProvider]: ...

    @webmethod(route="/eval_tasks/register", method="POST")
    async def register_eval_task(
        self, eval_task_def: EvalTaskDefWithProvider
    ) -> None: ...