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
39 lines
1.2 KiB
Python
39 lines
1.2 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, runtime_checkable
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from llama_models.schema_utils import json_schema_type, webmethod
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from pydantic import BaseModel
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from llama_stack.apis.datasets import * # noqa: F403
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@json_schema_type
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class PaginatedRowsResult(BaseModel):
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# the rows obey the DatasetSchema for the given dataset
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rows: List[Dict[str, Any]]
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total_count: int
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next_page_token: Optional[str] = None
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class DatasetStore(Protocol):
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def get_dataset(self, identifier: str) -> DatasetDefWithProvider: ...
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@runtime_checkable
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class DatasetIO(Protocol):
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# keeping for aligning with inference/safety, but this is not used
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dataset_store: DatasetStore
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@webmethod(route="/datasetio/get_rows_paginated", method="GET")
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async def get_rows_paginated(
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self,
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dataset_id: str,
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rows_in_page: int,
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page_token: Optional[str] = None,
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filter_condition: Optional[str] = None,
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) -> PaginatedRowsResult: ...
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