Merge: Mine search finds, relevance search, and a weighted search document
feature/mine-search-finds-and-fts: - per-user search finds surface in the Mine feed + Source filter there - full-text relevance ranking (new Relevance sort, auto-selected when searching) - search broadened to a weighted document (title + creator keywords + the queries that surfaced a video + description), DB-generated search_vector.
This commit is contained in:
npeter83
commit
bb7b9972fd
12 changed files with 360 additions and 39 deletions
47
backend/alembic/versions/0030_search_finds.py
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47
backend/alembic/versions/0030_search_finds.py
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@ -0,0 +1,47 @@
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"""per-user search finds
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Revision ID: 0030_search_finds
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Revises: 0029_unaccent_search
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Create Date: 2026-06-30
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Adds the `search_finds` table: a per-user record of which videos a user surfaced via their own
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live YouTube search. This lets "videos I searched for" appear in that user's Mine feed (and the
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Mine Source filter), independent of the global `videos.via_search` flag (which marks a video as
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search-discovered by anyone, for the shared Library's Source filter).
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"""
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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revision: str = "0030_search_finds"
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down_revision: Union[str, None] = "0029_unaccent_search"
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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.create_table(
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"search_finds",
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sa.Column("id", sa.Integer(), nullable=False),
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sa.Column("user_id", sa.Integer(), nullable=False),
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sa.Column("video_id", sa.String(), nullable=False),
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sa.Column(
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"created_at",
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sa.DateTime(timezone=True),
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server_default=sa.text("now()"),
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nullable=False,
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),
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sa.ForeignKeyConstraint(["user_id"], ["users.id"], ondelete="CASCADE"),
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sa.ForeignKeyConstraint(["video_id"], ["videos.id"], ondelete="CASCADE"),
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sa.PrimaryKeyConstraint("id"),
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sa.UniqueConstraint("user_id", "video_id", name="uq_user_search_video"),
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)
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op.create_index("ix_search_finds_user_id", "search_finds", ["user_id"])
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op.create_index("ix_search_finds_video_id", "search_finds", ["video_id"])
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def downgrade() -> None:
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op.drop_index("ix_search_finds_video_id", table_name="search_finds")
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op.drop_index("ix_search_finds_user_id", table_name="search_finds")
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op.drop_table("search_finds")
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49
backend/alembic/versions/0031_title_fts.py
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49
backend/alembic/versions/0031_title_fts.py
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"""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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65
backend/alembic/versions/0032_search_document.py
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65
backend/alembic/versions/0032_search_document.py
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"""richer full-text search document (title + keywords + search terms + description)
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Revision ID: 0032_search_document
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Revises: 0031_title_fts
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Create Date: 2026-06-30
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Broadens the feed's full-text search from the title alone to a weighted search document, so the
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local search behaves more like YouTube's — finding videos by the uploader's own keywords or by
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the search query that surfaced them, not only by words in the title:
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- `keywords` — the creator's snippet.tags (already fetched with the snippet we request, so
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zero extra quota), stored space-joined.
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- `search_terms` — distinct live-search queries that surfaced the video (across all users),
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appended by the search route. Folds YouTube's relevance judgement into local
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search: a video YT returned for a query becomes findable by it locally.
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These plus a truncated description feed a STORED generated `search_vector` column, weighted
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title (A) > keywords+search_terms (B) > description (C) so ts_rank ranks title hits highest. A
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plain GIN index on the column guarantees the planner uses it (no expression/param matching). The
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title-only expression index from 0031 is dropped (superseded). Existing rows get title +
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description indexed immediately; keywords/search_terms fill in as videos are (re-)enriched and
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searched. Uses the `unaccent_simple` config from 0031 (accent-insensitive).
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"""
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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revision: str = "0032_search_document"
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down_revision: Union[str, None] = "0031_title_fts"
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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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_SEARCH_VECTOR_EXPR = (
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"setweight(to_tsvector('public.unaccent_simple', coalesce(title, '')), 'A') || "
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"setweight(to_tsvector('public.unaccent_simple', coalesce(keywords, '') || ' ' || "
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"coalesce(search_terms, '')), 'B') || "
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"setweight(to_tsvector('public.unaccent_simple', left(coalesce(description, ''), 1000)), 'C')"
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)
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def upgrade() -> None:
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op.add_column("videos", sa.Column("keywords", sa.Text(), nullable=True))
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op.add_column("videos", sa.Column("search_terms", sa.Text(), nullable=True))
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# Replace the title-only index with a generated weighted search_vector + its GIN index.
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op.execute("DROP INDEX IF EXISTS ix_videos_title_fts")
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op.execute(
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f"ALTER TABLE videos ADD COLUMN search_vector tsvector "
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f"GENERATED ALWAYS AS ({_SEARCH_VECTOR_EXPR}) STORED"
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)
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op.execute(
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"CREATE INDEX ix_videos_search_vector ON videos USING gin (search_vector)"
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)
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def downgrade() -> None:
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op.execute("DROP INDEX IF EXISTS ix_videos_search_vector")
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op.drop_column("videos", "search_vector")
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op.drop_column("videos", "search_terms")
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op.drop_column("videos", "keywords")
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# Recreate the title-only FTS index from 0031.
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op.execute(
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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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@ -3,6 +3,7 @@ from datetime import date, datetime
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from sqlalchemy import (
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BigInteger,
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Boolean,
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Computed,
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Date,
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DateTime,
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Float,
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@ -14,6 +15,7 @@ from sqlalchemy import (
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UniqueConstraint,
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func,
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)
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from sqlalchemy.dialects.postgresql import TSVECTOR
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.db import Base
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@ -237,6 +239,14 @@ class Video(Base, TimestampMixin):
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topic_categories: Mapped[list | None] = mapped_column(JSON)
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default_language: Mapped[str | None] = mapped_column(String(16))
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detected_language: Mapped[str | None] = mapped_column(String(16))
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# Creator-supplied keyword tags (snippet.tags joined by spaces) — fetched for free with the
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# snippet we already request. Indexed into search_vector so the feed search matches the
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# uploader's own keywords, not just words in the title.
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keywords: Mapped[str | None] = mapped_column(Text)
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# Accumulated distinct live-search queries that surfaced this video (across all users) —
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# folds YouTube's own relevance judgement into the local search: a video YouTube returned
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# for "ti amo magyarul" becomes findable by that query locally even if its title lacks it.
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search_terms: Mapped[str | None] = mapped_column(Text)
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is_short: Mapped[bool] = mapped_column(
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Boolean, default=False, server_default="false", index=True
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)
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@ -272,6 +282,21 @@ class Video(Base, TimestampMixin):
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)
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unavailable_reason: Mapped[str | None] = mapped_column(String(24))
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# Weighted full-text search document (DB-generated, never written by the app): title (A) >
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# creator keywords + search queries (B) > truncated description (C). ts_rank honours the
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# weights so title matches outrank description matches. Backed by a GIN index (migration
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# 0032). The accent-insensitive `unaccent_simple` config comes from migration 0031.
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search_vector: Mapped[object | None] = mapped_column(
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TSVECTOR,
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Computed(
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"setweight(to_tsvector('public.unaccent_simple', coalesce(title, '')), 'A') || "
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"setweight(to_tsvector('public.unaccent_simple', coalesce(keywords, '') || ' ' || "
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"coalesce(search_terms, '')), 'B') || "
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"setweight(to_tsvector('public.unaccent_simple', left(coalesce(description, ''), 1000)), 'C')",
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persisted=True,
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),
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)
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channel: Mapped["Channel"] = relationship(back_populates="videos")
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@ -344,6 +369,25 @@ class VideoState(Base, UpdatedAtMixin):
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progress_updated_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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class SearchFind(Base, TimestampMixin):
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"""Per-user record of a video the user surfaced via their own live YouTube search.
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Lets "videos I searched for" appear in that user's own (Mine) feed and the Mine Source
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filter — distinct from the GLOBAL `Video.via_search` provenance, which marks a video as
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search-discovered by *anyone* and drives the shared Library's Source filter."""
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__tablename__ = "search_finds"
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__table_args__ = (UniqueConstraint("user_id", "video_id", name="uq_user_search_video"),)
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id: Mapped[int] = mapped_column(primary_key=True)
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user_id: Mapped[int] = mapped_column(
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ForeignKey("users.id", ondelete="CASCADE"), index=True
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)
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video_id: Mapped[str] = mapped_column(
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ForeignKey("videos.id", ondelete="CASCADE"), index=True
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)
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class ApiQuotaUsage(Base):
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"""Tracks YouTube Data API units spent per Pacific-time day (the quota resets at
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midnight Pacific). The whole app shares one daily budget."""
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|
|
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@ -1,10 +1,11 @@
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import base64
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import binascii
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import json
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import re
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from datetime import date, datetime, timedelta, timezone
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from fastapi import APIRouter, Depends, HTTPException, Query
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from sqlalchemy import Select, and_, false, func, or_, select
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from sqlalchemy import BigInteger, Select, and_, cast, false, func, or_, select
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from sqlalchemy.dialects.postgresql import insert as pg_insert
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from sqlalchemy.orm import Session, aliased
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from sqlalchemy.orm.exc import StaleDataError
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|
@ -17,6 +18,7 @@ from app.models import (
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ChannelTag,
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Playlist,
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PlaylistItem,
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SearchFind,
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Subscription,
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Tag,
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User,
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@ -153,14 +155,20 @@ def _filtered_query(
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),
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)
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else:
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# Only channels this user is subscribed to (and hasn't hidden).
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query = query.join(
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# "Mine": the user's own videos = their non-hidden subscriptions OR videos they
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# surfaced via their own live YouTube search. Both are LEFT-joined so the Source
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# filter below can include either or both, and the subscription row stays available
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# for the priority sort.
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query = query.outerjoin(
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Subscription,
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and_(
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Subscription.channel_id == Video.channel_id,
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Subscription.user_id == user.id,
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Subscription.hidden.is_(False),
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),
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).outerjoin(
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SearchFind,
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and_(SearchFind.video_id == Video.id, SearchFind.user_id == user.id),
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)
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query = query.outerjoin(
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|
@ -172,16 +180,25 @@ def _filtered_query(
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# either way they shouldn't show in any feed view meanwhile.
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query = query.where(Video.unavailable_since.is_(None))
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# Provenance filter for the Library: search-discovered videos are "noise" hidden by
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# default ("organic"), can be mixed in ("all"), or shown exclusively ("search"). Only
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# meaningful in "all" scope: "my" already restricts to subscribed channels, where a
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# once-searched video is legitimately the user's.
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# Source filter. In the shared Library ("all" scope) it uses the GLOBAL via_search flag
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# (search-discovered by anyone). In "my" scope it's the user's OWN provenance:
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# "organic" = your subscriptions, "search" = videos you found via your own search,
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# "all" = both. Default "organic" keeps the Mine feed = subscriptions only.
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if scope == "all":
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if library_source == "organic":
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query = query.where(Video.via_search.is_(False))
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elif library_source == "search":
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query = query.where(Video.via_search.is_(True))
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# "all" → both organic and search-discovered videos
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else:
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subscribed = Subscription.channel_id.isnot(None)
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searched = SearchFind.video_id.isnot(None)
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if library_source == "search":
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query = query.where(searched)
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elif library_source == "all":
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query = query.where(or_(subscribed, searched))
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else: # "organic" (default): subscriptions only
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query = query.where(subscribed)
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if channel_id:
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query = query.where(Video.channel_id == channel_id)
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|
|
@ -204,9 +221,29 @@ def _filtered_query(
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published_before, datetime.min.time(), tzinfo=timezone.utc
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) + timedelta(days=1)
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query = query.where(Video.published_at < end)
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# Full-text relevance search over the weighted search document (title > creator keywords +
|
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# the queries that surfaced the video > description; see Video.search_vector). YouTube-like
|
||||
# "fuzzy" matching: word-order-independent, multi-word AND, prefix on the word being typed,
|
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# accent-insensitive (unaccent_simple). The channel name still matches as a substring so
|
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# channel searches work. `rank_expr` (weight-aware ts_rank) drives the "relevance" sort.
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rank_expr = None
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if q:
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# Accent-insensitive: unaccent() both sides so "tiesto" matches "Tiësto" (ILIKE alone
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# is case- but not diacritic-insensitive). unaccent is enabled by migration 0029.
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ts_str = _to_tsquery_str(q)
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if ts_str:
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tsq = func.to_tsquery("public.unaccent_simple", ts_str)
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query = query.where(
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or_(
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Video.search_vector.op("@@")(tsq),
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func.unaccent(Channel.title).ilike(func.unaccent(f"%{q}%")),
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)
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)
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# Scale ts_rank (a float4) to an integer score so the keyset cursor compares it
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# EXACTLY — a raw float4 vs the float8 cursor value mismatches on round-trip and
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# breaks paging (the same page repeats). 1e6 granularity is ample; ties break on
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# published_at then id.
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rank_expr = cast(func.ts_rank(Video.search_vector, tsq) * 1000000, BigInteger)
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else:
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# No usable tokens (e.g. only punctuation): fall back to a plain substring match.
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like = func.unaccent(f"%{q}%")
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query = query.where(
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or_(
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|
|
@ -271,7 +308,19 @@ def _filtered_query(
|
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else: # all
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query = query.where(status_expr != "hidden")
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return query, status_expr
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return query, status_expr, rank_expr
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def _to_tsquery_str(q: str) -> str | None:
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"""Turn free-text into a to_tsquery() string: word runs ANDed together, the LAST word
|
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prefix-matched (`:*`) for as-you-type search — e.g. "ti amo magyar" → "ti & amo & magyar:*".
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Only `\\w` runs containing an alphanumeric are kept, so no tsquery operators can leak in
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(the string is built from sanitised tokens, never the raw query)."""
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tokens = [t for t in re.findall(r"\w+", q, flags=re.UNICODE) if any(c.isalnum() for c in t)]
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if not tokens:
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return None
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tokens[-1] = tokens[-1] + ":*"
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return " & ".join(tokens)
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# Shared query parameters for /feed and /feed/count.
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|
|
@ -320,7 +369,7 @@ def _feed_params(
|
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# replaces OFFSET/LIMIT: deep scrolling no longer scans-and-discards skipped rows,
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# and the page boundary is stable even as the scheduler ingests new videos mid-scroll
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# (OFFSET would shift and duplicate/skip rows).
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def _sort_keys(sort: str, seed: int) -> list[dict]:
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def _sort_keys(sort: str, seed: int, rank_expr=None) -> list[dict]:
|
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pub = {"expr": Video.published_at, "asc": False, "nullable": True, "kind": "dt"}
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table: dict[str, list[dict]] = {
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"newest": [pub],
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|
|
@ -341,6 +390,13 @@ def _sort_keys(sort: str, seed: int) -> list[dict]:
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# the cursor stays valid across pages of one shuffled run.
|
||||
"shuffle": [{"expr": func.md5(func.concat(Video.id, str(seed))), "asc": True, "nullable": False, "kind": "str"}],
|
||||
}
|
||||
# Relevance (search-result ranking) only exists when there's a query to rank against;
|
||||
# without `rank_expr` it falls through to newest. Ties break by newest, then id.
|
||||
if rank_expr is not None:
|
||||
table["relevance"] = [
|
||||
{"expr": rank_expr, "asc": False, "nullable": False, "kind": "num"},
|
||||
pub,
|
||||
]
|
||||
return table.get(sort) or table["newest"]
|
||||
|
||||
|
||||
|
|
@ -409,8 +465,8 @@ def get_feed(
|
|||
user: User = Depends(current_user),
|
||||
db: Session = Depends(get_db),
|
||||
) -> dict:
|
||||
query, _status = _filtered_query(db, user, **params)
|
||||
keys = _sort_keys(sort, seed)
|
||||
query, _status, rank_expr = _filtered_query(db, user, **params)
|
||||
keys = _sort_keys(sort, seed, rank_expr)
|
||||
|
||||
# Expose each key column on the row so we can build the next cursor from the last item.
|
||||
query = query.add_columns(*[k["expr"].label(f"_k{i}") for i, k in enumerate(keys)])
|
||||
|
|
@ -439,7 +495,7 @@ def get_feed_count(
|
|||
user: User = Depends(current_user),
|
||||
db: Session = Depends(get_db),
|
||||
) -> dict:
|
||||
query, _status = _filtered_query(db, user, **params)
|
||||
query, _status, _rank = _filtered_query(db, user, **params)
|
||||
total = db.scalar(select(func.count()).select_from(query.subquery()))
|
||||
return {"count": total or 0}
|
||||
|
||||
|
|
@ -467,7 +523,7 @@ def get_facets(
|
|||
# keeps them applied, so each remaining chip narrows to channels that ALSO have all
|
||||
# already-selected topics — and tags that can't co-occur drop to zero (hidden).
|
||||
conjunctive = category == "topic" and params.get("tag_mode") == "and"
|
||||
base, _status = _filtered_query(
|
||||
base, _status, _rank = _filtered_query(
|
||||
db,
|
||||
user,
|
||||
**{**params, "exclude_tag_category": None if conjunctive else category},
|
||||
|
|
|
|||
|
|
@ -16,13 +16,14 @@ from concurrent.futures import ThreadPoolExecutor
|
|||
from datetime import datetime, timezone
|
||||
|
||||
from fastapi import APIRouter, Depends, HTTPException
|
||||
from sqlalchemy import and_, select
|
||||
from sqlalchemy import and_, func, select, update
|
||||
from sqlalchemy.dialects.postgresql import insert as pg_insert
|
||||
from sqlalchemy.orm import Session, aliased
|
||||
|
||||
from app import quota, sysconfig
|
||||
from app.auth import require_human
|
||||
from app.db import get_db
|
||||
from app.models import Channel, User, Video, VideoState
|
||||
from app.models import Channel, SearchFind, User, Video, VideoState
|
||||
from app.routes.feed import _serialize, feed_columns
|
||||
from app.sync.subscriptions import apply_channel_details
|
||||
from app.sync.videos import _insert_stubs, apply_video_details, parse_dt
|
||||
|
|
@ -213,6 +214,31 @@ def search_youtube(
|
|||
v.id for v in videos if not v.is_short and v.live_status not in _LIVE_HIDDEN
|
||||
}
|
||||
ordered = [vid for vid in ids if vid in keep]
|
||||
|
||||
# 6) Record these as THIS user's search finds so they surface in their own Mine feed
|
||||
# (and the Mine Source filter), independent of the global via_search flag. Idempotent.
|
||||
if ordered:
|
||||
db.execute(
|
||||
pg_insert(SearchFind)
|
||||
.values([{"user_id": user.id, "video_id": vid} for vid in ordered])
|
||||
.on_conflict_do_nothing(index_elements=["user_id", "video_id"])
|
||||
)
|
||||
# 7) Fold the query into each result's search_terms (shared across users) so local
|
||||
# full-text search inherits YouTube's relevance — a video YT returned for this query
|
||||
# becomes findable by it even when its title doesn't contain the words. Skip rows
|
||||
# that already include the term; the generated search_vector updates automatically.
|
||||
db.execute(
|
||||
update(Video)
|
||||
.where(Video.id.in_(ordered))
|
||||
.where(func.coalesce(Video.search_terms, "").notilike(f"%{term}%"))
|
||||
.values(
|
||||
search_terms=func.trim(
|
||||
func.coalesce(Video.search_terms, "").op("||")(" ").op("||")(term)
|
||||
)
|
||||
)
|
||||
)
|
||||
db.commit()
|
||||
|
||||
return {
|
||||
"items": _serialize_ids(db, user, ordered),
|
||||
"next_cursor": page["next_page_token"],
|
||||
|
|
|
|||
|
|
@ -234,6 +234,9 @@ def apply_video_details(video: Video, item: dict) -> None:
|
|||
video.view_count = int(stats["viewCount"]) if stats.get("viewCount") else None
|
||||
video.like_count = int(stats["likeCount"]) if stats.get("likeCount") else None
|
||||
video.category_id = int(snippet["categoryId"]) if snippet.get("categoryId") else None
|
||||
# Creator keyword tags (free with the snippet we already fetch) → search document.
|
||||
tags = snippet.get("tags")
|
||||
video.keywords = " ".join(tags) if tags else None
|
||||
video.topic_categories = topics.get("topicCategories")
|
||||
video.default_language = snippet.get("defaultLanguage") or snippet.get(
|
||||
"defaultAudioLanguage"
|
||||
|
|
|
|||
|
|
@ -23,9 +23,11 @@ const rollSeed = () => Math.floor(Math.random() * 1_000_000_000);
|
|||
|
||||
// Ordering = a key + direction (like the Playlists page), mapped to the backend sort strings
|
||||
// (which encode both). One entry per concept; a single arrow flips the direction.
|
||||
type SortKey = "date" | "popular" | "duration" | "title" | "subscribers" | "priority" | "shuffle";
|
||||
// "relevance" (full-text search ranking) and "shuffle" are directionless single-string sorts.
|
||||
type SortKey = "date" | "popular" | "duration" | "title" | "subscribers" | "priority" | "shuffle" | "relevance";
|
||||
const SORT_KEYS: SortKey[] = ["date", "popular", "duration", "title", "subscribers", "priority", "shuffle"];
|
||||
const SORT_MAP: Record<Exclude<SortKey, "shuffle">, { asc: string; desc: string }> = {
|
||||
const DIRECTIONLESS: SortKey[] = ["shuffle", "relevance"];
|
||||
const SORT_MAP: Record<Exclude<SortKey, "shuffle" | "relevance">, { asc: string; desc: string }> = {
|
||||
date: { desc: "newest", asc: "oldest" },
|
||||
popular: { desc: "views", asc: "views_asc" },
|
||||
duration: { desc: "duration_desc", asc: "duration_asc" },
|
||||
|
|
@ -33,11 +35,11 @@ const SORT_MAP: Record<Exclude<SortKey, "shuffle">, { asc: string; desc: string
|
|||
subscribers: { desc: "subscribers", asc: "subscribers_asc" },
|
||||
priority: { desc: "priority", asc: "priority_asc" },
|
||||
};
|
||||
const SORT_DEFAULT_DIR: Record<Exclude<SortKey, "shuffle">, "asc" | "desc"> = {
|
||||
const SORT_DEFAULT_DIR: Record<Exclude<SortKey, "shuffle" | "relevance">, "asc" | "desc"> = {
|
||||
date: "desc", popular: "desc", duration: "desc", title: "asc", subscribers: "desc", priority: "desc",
|
||||
};
|
||||
function parseSort(s: string): { key: SortKey; dir: "asc" | "desc" } {
|
||||
if (s === "shuffle") return { key: "shuffle", dir: "desc" };
|
||||
if (s === "shuffle" || s === "relevance") return { key: s, dir: "desc" };
|
||||
for (const k of Object.keys(SORT_MAP) as (keyof typeof SORT_MAP)[]) {
|
||||
if (SORT_MAP[k].asc === s) return { key: k, dir: "asc" };
|
||||
if (SORT_MAP[k].desc === s) return { key: k, dir: "desc" };
|
||||
|
|
@ -45,7 +47,8 @@ function parseSort(s: string): { key: SortKey; dir: "asc" | "desc" } {
|
|||
return { key: "date", dir: "desc" };
|
||||
}
|
||||
function buildSort(key: SortKey, dir: "asc" | "desc"): string {
|
||||
return key === "shuffle" ? "shuffle" : SORT_MAP[key][dir];
|
||||
if (key === "shuffle" || key === "relevance") return key;
|
||||
return SORT_MAP[key][dir];
|
||||
}
|
||||
|
||||
function matchesView(status: string, show: string): boolean {
|
||||
|
|
@ -134,6 +137,18 @@ export default function Feed({
|
|||
retry: false,
|
||||
});
|
||||
|
||||
// Switching to the relevance sort when a search starts happens atomically in the header's
|
||||
// input onChange (race-free with the query update). Here we only handle the reverse: when
|
||||
// the term is cleared, fall back to the default sort — relevance has no dropdown option and
|
||||
// doesn't rank without a query.
|
||||
const qEmpty = !filters.q.trim();
|
||||
useEffect(() => {
|
||||
if (qEmpty && parseSort(filters.sort).key === "relevance") {
|
||||
setFilters({ ...filters, sort: buildSort("date", "desc") });
|
||||
}
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [qEmpty]);
|
||||
|
||||
// Drop optimistic status overrides when filters change OR fresh server data
|
||||
// arrives — after a refetch the server is authoritative, so a stale override
|
||||
// (e.g. a video reverted to "new" from the notification center) won't keep it
|
||||
|
|
@ -296,6 +311,9 @@ export default function Feed({
|
|||
// The search just ingested new catalog videos, so the normal feed (which was
|
||||
// disabled and still holds its pre-search cache) is stale. Drop those caches so
|
||||
// it re-fetches fresh on return instead of showing the old (often empty) result.
|
||||
// Surface the just-searched videos in the feed you return to: switch the Source
|
||||
// filter to "search" (your own search finds) and rank them by relevance.
|
||||
setFilters({ ...filters, librarySource: "search", sort: "relevance" });
|
||||
onExitYtSearch();
|
||||
qc.removeQueries({ queryKey: ["feed"] });
|
||||
qc.removeQueries({ queryKey: ["feed-count"] });
|
||||
|
|
@ -445,7 +463,7 @@ export default function Feed({
|
|||
</button>
|
||||
);
|
||||
})}
|
||||
{filters.scope === "all" && (
|
||||
{(
|
||||
<>
|
||||
<span className="mx-1 h-5 w-px bg-border" aria-hidden="true" />
|
||||
<label className="inline-flex items-center gap-1.5 text-xs text-muted">
|
||||
|
|
@ -484,7 +502,9 @@ export default function Feed({
|
|||
value={sortKey}
|
||||
onChange={(e) => {
|
||||
const key = e.target.value as SortKey;
|
||||
const dir = key === "shuffle" ? "desc" : SORT_DEFAULT_DIR[key];
|
||||
const dir = DIRECTIONLESS.includes(key)
|
||||
? "desc"
|
||||
: SORT_DEFAULT_DIR[key as Exclude<SortKey, "shuffle" | "relevance">];
|
||||
setFilters({
|
||||
...filters,
|
||||
sort: buildSort(key, dir),
|
||||
|
|
@ -493,13 +513,14 @@ export default function Feed({
|
|||
}}
|
||||
className="bg-card border border-border rounded-lg px-2 py-1.5 text-sm outline-none focus:border-accent"
|
||||
>
|
||||
{SORT_KEYS.map((k) => (
|
||||
{/* Relevance only ranks meaningfully when there's a search term — offer it then. */}
|
||||
{(filters.q.trim() ? (["relevance", ...SORT_KEYS] as SortKey[]) : SORT_KEYS).map((k) => (
|
||||
<option key={k} value={k}>
|
||||
{t("feed.sortKey." + k)}
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
{sortKey !== "shuffle" && (
|
||||
{!DIRECTIONLESS.includes(sortKey) && (
|
||||
<button
|
||||
onClick={() =>
|
||||
setFilters({ ...filters, sort: buildSort(sortKey, sortDir === "asc" ? "desc" : "asc") })
|
||||
|
|
|
|||
|
|
@ -67,7 +67,14 @@ export default function Header({
|
|||
<Search className="w-4 h-4 absolute left-3 top-1/2 -translate-y-1/2 text-muted" />
|
||||
<input
|
||||
value={filters.q}
|
||||
onChange={(e) => setFilters({ ...filters, q: e.target.value })}
|
||||
onChange={(e) => {
|
||||
const q = e.target.value;
|
||||
// When a search first appears, rank the feed by relevance — set atomically with
|
||||
// the query (race-free vs. per-keystroke updates). Only overrides the default
|
||||
// "newest" sort; a custom sort the user chose is left alone. Cleared in Feed.
|
||||
const startSearch = !filters.q.trim() && !!q.trim() && filters.sort === "newest";
|
||||
setFilters({ ...filters, q, ...(startSearch ? { sort: "relevance" } : {}) });
|
||||
}}
|
||||
onKeyDown={(e) => {
|
||||
// Enter runs a live YouTube search for the typed term (the box itself filters
|
||||
// the local catalog as you type; Enter escalates to the YouTube API).
|
||||
|
|
|
|||
|
|
@ -21,7 +21,8 @@
|
|||
"title": "Name",
|
||||
"subscribers": "Kanal-Abonnenten",
|
||||
"priority": "Kanal-Priorität",
|
||||
"shuffle": "Überraschung"
|
||||
"shuffle": "Überraschung",
|
||||
"relevance": "Relevanz"
|
||||
},
|
||||
"loadingMore": "Mehr wird geladen…",
|
||||
"hiddenNamed": "Ausgeblendet: „{{title}}”",
|
||||
|
|
@ -32,7 +33,7 @@
|
|||
"unwatch": "Nicht mehr als angesehen",
|
||||
"source": {
|
||||
"label": "Quelle",
|
||||
"tip": "Bibliothek danach filtern, wie Videos hierher kamen: nur organischer Katalog, mit Suchergebnissen, oder nur über Live-YouTube-Suche gefundene Videos.",
|
||||
"tip": "Danach filtern, wie Videos hierher kamen: nur deine Abos/Katalog, samt deiner über Live-YouTube-Suche gefundenen Videos, oder nur diese Suchergebnisse.",
|
||||
"organic": "Ohne Suchergebnisse",
|
||||
"all": "Mit Suchergebnissen",
|
||||
"only": "Nur Suchergebnisse"
|
||||
|
|
|
|||
|
|
@ -21,7 +21,8 @@
|
|||
"title": "Name",
|
||||
"subscribers": "Channel subscribers",
|
||||
"priority": "Channel priority",
|
||||
"shuffle": "Surprise me"
|
||||
"shuffle": "Surprise me",
|
||||
"relevance": "Relevance"
|
||||
},
|
||||
"loadingMore": "Loading more…",
|
||||
"hiddenNamed": "Hidden “{{title}}”",
|
||||
|
|
@ -32,7 +33,7 @@
|
|||
"unwatch": "Unwatch",
|
||||
"source": {
|
||||
"label": "Source",
|
||||
"tip": "Filter the Library by how videos got here: organic catalog only, plus search results, or only videos found via live YouTube search.",
|
||||
"tip": "Filter by how videos got here: your subscriptions/catalog only, plus videos you found via live YouTube search, or only those search results.",
|
||||
"organic": "Hide search results",
|
||||
"all": "Include search results",
|
||||
"only": "Search results only"
|
||||
|
|
|
|||
|
|
@ -21,7 +21,8 @@
|
|||
"title": "Név",
|
||||
"subscribers": "Csatorna feliratkozók",
|
||||
"priority": "Csatorna prioritás",
|
||||
"shuffle": "Meglepetés"
|
||||
"shuffle": "Meglepetés",
|
||||
"relevance": "Relevancia"
|
||||
},
|
||||
"loadingMore": "Továbbiak betöltése…",
|
||||
"hiddenNamed": "Elrejtve: „{{title}}”",
|
||||
|
|
@ -32,7 +33,7 @@
|
|||
"unwatch": "Megnézés visszavonása",
|
||||
"source": {
|
||||
"label": "Forrás",
|
||||
"tip": "Szűrd a könyvtárat aszerint, hogyan kerültek be a videók: csak organikus katalógus, kereséssel együtt, vagy csak az élő YouTube-keresésből talált videók.",
|
||||
"tip": "Szűrés aszerint, hogyan kerültek be a videók: csak a feliratkozásaid/katalógus, az élő YouTube-keresésből talált videóiddal együtt, vagy csak azok a keresési találatok.",
|
||||
"organic": "Keresés nélkül",
|
||||
"all": "Kereséssel együtt",
|
||||
"only": "Csak keresésből"
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue