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9e6561a1ec
# What does this PR do? The goal of this PR is code base modernization. Schema reflection code needed a minor adjustment to handle UnionTypes and collections.abc.AsyncIterator. (Both are preferred for latest Python releases.) Note to reviewers: almost all changes here are automatically generated by pyupgrade. Some additional unused imports were cleaned up. The only change worth of note can be found under `docs/openapi_generator` and `llama_stack/strong_typing/schema.py` where reflection code was updated to deal with "newer" types. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
47 lines
1.7 KiB
Python
47 lines
1.7 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, Protocol, runtime_checkable
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from llama_stack.apis.common.responses import PaginatedResponse
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from llama_stack.apis.datasets import Dataset
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from llama_stack.schema_utils import webmethod
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class DatasetStore(Protocol):
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def get_dataset(self, dataset_id: str) -> Dataset: ...
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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/iterrows/{dataset_id:path}", method="GET")
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async def iterrows(
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self,
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dataset_id: str,
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start_index: int | None = None,
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limit: int | None = None,
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) -> PaginatedResponse:
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"""Get a paginated list of rows from a dataset.
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Uses offset-based pagination where:
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- start_index: The starting index (0-based). If None, starts from beginning.
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- limit: Number of items to return. If None or -1, returns all items.
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The response includes:
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- data: List of items for the current page
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- has_more: Whether there are more items available after this set
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:param dataset_id: The ID of the dataset to get the rows from.
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:param start_index: Index into dataset for the first row to get. Get all rows if None.
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:param limit: The number of rows to get.
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"""
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...
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@webmethod(route="/datasetio/append-rows/{dataset_id:path}", method="POST")
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async def append_rows(self, dataset_id: str, rows: list[dict[str, Any]]) -> None: ...
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