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https://github.com/paperless-ngx/paperless-ngx.git
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610ba27891
Use search_ids() for the full set of matching IDs (lightweight ints, no arbitrary cap) and highlight_hits() for just the displayed page. TantivyRelevanceList now holds ordered IDs for count/selection_data and a small page of rich SearchHit dicts for serialization. Removes the hardcoded 10000 limit that silently truncated results for large collections. Memory usage down ~10% on sorted/paginated search paths at 200 docs, with larger gains expected at scale. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
26 lines
816 B
Python
26 lines
816 B
Python
from documents.search._backend import SearchHit
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from documents.search._backend import SearchIndexLockError
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from documents.search._backend import SearchMode
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from documents.search._backend import SearchResults
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from documents.search._backend import TantivyBackend
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from documents.search._backend import TantivyRelevanceList
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from documents.search._backend import WriteBatch
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from documents.search._backend import get_backend
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from documents.search._backend import reset_backend
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from documents.search._schema import needs_rebuild
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from documents.search._schema import wipe_index
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__all__ = [
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"SearchHit",
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"SearchIndexLockError",
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"SearchMode",
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"SearchResults",
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"TantivyBackend",
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"TantivyRelevanceList",
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"WriteBatch",
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"get_backend",
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"needs_rebuild",
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"reset_backend",
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"wipe_index",
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]
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