forked from phoenix-oss/llama-stack-mirror
cb84034567
* wip * dataset validation * test_scoring * cleanup * clean up test * comments * error checking * dataset client * test client: * datasetio client * clean up * basic scoring function works * scorer wip * equality scorer * score batch impl * score batch * update scoring test * refactor * validate scorer input * address comments * add all rows scores to ScoringResult * bugfix * scoring function def rename
54 lines
1.5 KiB
Python
54 lines
1.5 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, Optional, Protocol
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from llama_models.llama3.api.datatypes import URL
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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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from llama_stack.apis.common.type_system import ParamType
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@json_schema_type
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class DatasetDef(BaseModel):
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identifier: str = Field(
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description="A unique name for the dataset",
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)
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dataset_schema: Dict[str, ParamType] = Field(
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description="The schema definition for this dataset",
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)
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url: URL
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metadata: Dict[str, Any] = Field(
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default_factory=dict,
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description="Any additional metadata for this dataset",
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)
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@json_schema_type
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class DatasetDefWithProvider(DatasetDef):
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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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class Datasets(Protocol):
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@webmethod(route="/datasets/register", method="POST")
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async def register_dataset(
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self,
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dataset_def: DatasetDefWithProvider,
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) -> None: ...
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@webmethod(route="/datasets/get", method="GET")
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async def get_dataset(
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self,
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dataset_identifier: str,
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) -> Optional[DatasetDefWithProvider]: ...
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@webmethod(route="/datasets/list", method="GET")
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async def list_datasets(self) -> List[DatasetDefWithProvider]: ...
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