Two related search improvements: 1) Your own live-search results now belong to your Mine feed. A new per-user search_finds table (migration 0030) records each video you surface via your YouTube search (the route inserts them idempotently). The Mine feed becomes 'your non-hidden subscriptions OR your search finds', and the Source filter now applies in Mine too: organic = subscriptions, search = your search finds, all = both (default stays organic, so the main feed is unchanged). The shared Library keeps using the global via_search flag. 2) Feed search ranks by relevance instead of a whole-phrase substring. A custom unaccent_simple text-search config + GIN index (migration 0031) back a YouTube-like fuzzy match: word-order-independent, multi-word AND, prefix on the word being typed, accent-insensitive. A new 'relevance' sort orders by ts_rank; the channel name still matches as a substring. The rank is scaled to an integer so the keyset cursor pages it exactly (a raw float4 breaks paging). _filtered_query returns the rank expr so only the feed list uses it.
49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
"""full-text relevance search on video titles
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Revision ID: 0031_title_fts
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Revises: 0030_search_finds
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Create Date: 2026-06-30
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Adds a PostgreSQL full-text search index over video titles so the feed search box can rank by
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relevance (a YouTube-like "fuzzy" search: word-order-independent, multi-word AND, prefix on the
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word being typed) instead of a whole-phrase substring match.
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A custom text-search configuration `unaccent_simple` = the `simple` config (no stemming, no
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stopwords — right for a multilingual HU/EN/DE catalog) plus the `unaccent` dictionary, so the
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search stays accent-insensitive ("tiesto" matches "Tiësto"). A GIN expression index on
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`to_tsvector('public.unaccent_simple', coalesce(title,''))` makes the @@ match fast; the feed
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query uses the exact same expression so the planner picks the index. `unaccent` is already
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enabled (migration 0029). The config-based 2-arg to_tsvector is IMMUTABLE, so it's index-safe.
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"""
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from typing import Sequence, Union
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from alembic import op
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revision: str = "0031_title_fts"
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down_revision: Union[str, None] = "0030_search_finds"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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op.execute(
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"CREATE TEXT SEARCH CONFIGURATION public.unaccent_simple (COPY = pg_catalog.simple)"
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)
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op.execute(
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"""
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ALTER TEXT SEARCH CONFIGURATION public.unaccent_simple
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ALTER MAPPING FOR asciiword, asciihword, hword_asciipart, word, hword, hword_part
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WITH unaccent, simple
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"""
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)
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op.execute(
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"""
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CREATE INDEX ix_videos_title_fts ON videos
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USING gin (to_tsvector('public.unaccent_simple', coalesce(title, '')))
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"""
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)
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def downgrade() -> None:
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op.execute("DROP INDEX IF EXISTS ix_videos_title_fts")
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op.execute("DROP TEXT SEARCH CONFIGURATION IF EXISTS public.unaccent_simple")
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