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43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import Any, Dict, List, Literal, Optional, Protocol, runtime_checkable
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from llama_models.schema_utils import json_schema_type, webmethod
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from pydantic import BaseModel, Field
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@json_schema_type
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class EvalTaskDef(BaseModel):
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identifier: str
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dataset_id: str
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scoring_functions: List[str]
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metadata: Dict[str, Any] = Field(
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default_factory=dict,
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description="Metadata for this evaluation task",
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)
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@json_schema_type
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class EvalTaskDefWithProvider(EvalTaskDef):
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type: Literal["eval_task"] = "eval_task"
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provider_id: str = Field(
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description="ID of the provider which serves this dataset",
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)
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@runtime_checkable
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class EvalTasks(Protocol):
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@webmethod(route="/eval_tasks/list", method="GET")
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async def list_eval_tasks(self) -> List[EvalTaskDefWithProvider]: ...
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@webmethod(route="/eval_tasks/get", method="GET")
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async def get_eval_tasks(self, name: str) -> Optional[EvalTaskDefWithProvider]: ...
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@webmethod(route="/eval_tasks/register", method="POST")
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async def register_eval_tasks(
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self, function_def: EvalTaskDefWithProvider
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) -> None: ...
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