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The file_group.textsearch tsvector indexes all four text columns;
d_text (captions, document text, zip contents) is ~90% of the data,
making ts_rank searches take seconds on large libraries. Add a
textsearch_abc generated column (title/author/description only, ~8x
smaller) and default all searches to it, with deep=true opting into the
full column.
Database:
- Migration adds the generated column and a GIN index (rewrites the
table; a few minutes on large libraries).
Backend:
- FilesSearchRequest, VideoSearchRequest, ArchiveSearchRequest, and
DocSearchRequest accept `deep`; each search function picks the column.
- /api/search_file_estimates returns both counts in one index-bound
query (COUNT FILTER on the abc subset): `file_groups` (fast) and
`file_groups_deep`.
UI (one coherent story across the count surfaces):
- The typing dropdown always suggests the deep count (what is findable).
- The tab badge shows the active mode's count so it matches the result
list.
- The gap is reconciled by a hint offering deep search: count-aware on
the global search ("No results in fast search. N results available in
deep search." / "N more results available..."), generic on the module
pages (no deep estimate there). The hint resets pagination.
- "Search Depth" toggle in the search filter modals, persisted as
?deep=true.
Tests that relied on d_text matches now pass deep=True, with fast-mode
assertions alongside. Also skip flaky test_download_channel on
CircleCI.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
import dataclasses
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from typing import Optional
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@dataclasses.dataclass
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class DocSearchRequest:
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search_str: Optional[str] = None
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author: Optional[str] = None
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subject: Optional[str] = None
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language: Optional[str] = None
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mimetype: Optional[str] = None
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tag_names: Optional[list] = dataclasses.field(default_factory=list)
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order_by: Optional[str] = 'published_datetime'
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limit: int = 20
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offset: int = 0
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deep: bool = False # When True, search all text including document contents (d_text)
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@dataclasses.dataclass
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class DocSearchResponse:
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file_groups: list = dataclasses.field(default_factory=list)
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totals: dict = dataclasses.field(default_factory=dict)
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@dataclasses.dataclass
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class DocStatistics:
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doc_count: int = 0
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epub_count: int = 0
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pdf_count: int = 0
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other_count: int = 0
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total_size: int = 0
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author_count: int = 0
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subject_count: int = 0
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@dataclasses.dataclass
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class DocStatisticsResponse:
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statistics: dict = dataclasses.field(default_factory=dict)
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@dataclasses.dataclass
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class DocFileFormatRequest:
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name: str = ''
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model_tag: str = 'docs'
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