2163fee245
Counts for /tags, /performers, /studios and /favorites were computed live per-request by aggregating scene_tags / scene_performers with an EXISTS to playback_sources. As the catalog grew to ~1.7M scenes (6.3M scene_tags) this ran ~4.3s for /tags?order=popular (x2 incl. the total count) and ~950ms for the default /scenes count, making those screens load in several seconds. - migration 0019: add scene_count (+ DESC index) to tags/performers/studios - background job _job_refresh_taxonomy_counts (every 3h) recomputes the counts in one UPDATE..FROM each (IS DISTINCT FROM to skip unchanged rows) - /tags, /performers, /studios scenes path now read the column + ORDER BY the indexed scene_count; for_movies paths keep live aggregation (small tables) - favorites read denormalized scene_count instead of a grouped EXISTS aggregate - /scenes default count: 10-min in-process TTL cache (header is approximate) Measured: /tags?order=popular&per_page=500 ~8s -> 66ms incl. serialization. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
24 lines
974 B
Python
24 lines
974 B
Python
import uuid
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from sqlalchemy import ForeignKey, Integer, String
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from sqlalchemy.dialects.postgresql import UUID
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import Base, TimestampMixin, UUIDPKMixin
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class Tag(UUIDPKMixin, TimestampMixin, Base):
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__tablename__ = "tags"
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name: Mapped[str] = mapped_column(String(128), nullable=False)
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slug: Mapped[str] = mapped_column(String(128), nullable=False, unique=True)
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parent_tag_id: Mapped[uuid.UUID | None] = mapped_column(
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UUID(as_uuid=True), ForeignKey("tags.id", ondelete="SET NULL")
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)
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description: Mapped[str | None] = mapped_column(String(1024))
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# Denormalizowany licznik scen z żywym playback (refresh w tle przez
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# _job_refresh_taxonomy_counts). Patrz migracja 0019. NIE źródło prawdy —
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# do sortu "popular" + badge "(N)" w filtrach.
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scene_count: Mapped[int] = mapped_column(
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Integer, nullable=False, default=0, server_default="0"
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)
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