forked from phoenix-oss/llama-stack-mirror
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>
43 lines
1.4 KiB
Python
43 lines
1.4 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
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from llama_stack.apis.common.responses import PaginatedResponse
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def paginate_records(
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records: list[dict[str, Any]],
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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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"""Helper function to handle pagination of records consistently across implementations.
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Inspired by stripe's pagination: https://docs.stripe.com/api/pagination
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:param records: List of records to paginate
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:param start_index: The starting index (0-based). If None, starts from beginning.
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:param limit: Number of items to return. If None or -1, returns all items.
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:return: PaginatedResponse with the paginated data
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"""
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# Handle special case for fetching all rows
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if limit is None or limit == -1:
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return PaginatedResponse(
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data=records,
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has_more=False,
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)
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# Use offset-based pagination
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start_index = start_index or 0
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end_index = min(start_index + limit, len(records))
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page_data = records[start_index:end_index]
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# Calculate if there are more records
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has_more = end_index < len(records)
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return PaginatedResponse(
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data=page_data,
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has_more=has_more,
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)
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