bvandeusen
1fd594baaf
Operator-flagged 2026-06-02 — the 0.50 default (set on 2026-06-01) surfaces too many low-confidence picks in the modal's Suggestions rail. 0.70 keeps the rail signal-rich while still showing more than the original 0.95 (which hid almost everything). Alembic 0033 updates the singleton row conditionally — only rows still at the old 0.50 default flip to 0.70. Operators who tuned to some other value via Settings → ML keep their pick. Settings UI already exposes both sliders (MLThresholdSliders.vue), so further tuning continues to work without a deploy.
43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
"""MLSettings — single-row table holding ML pipeline tunables."""
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from datetime import datetime
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from sqlalchemy import CheckConstraint, DateTime, Float, Integer, String, func
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from sqlalchemy.orm import Mapped, mapped_column
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from .base import Base
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class MLSettings(Base):
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__tablename__ = "ml_settings"
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# Bare name — Base.metadata's naming convention prepends ck_<table>_,
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# producing the final ck_ml_settings_singleton (matches migration 0003).
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__table_args__ = (CheckConstraint("id = 1", name="singleton"),)
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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suggestion_threshold_character: Mapped[float] = mapped_column(
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Float, nullable=False, default=0.70
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)
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# Default raised 0.50 → 0.70 on 2026-06-02 — operator-flagged 0.50
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# surfaced too many low-confidence picks; 0.70 keeps the rail
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# signal-rich while still surfacing more than the original 0.95
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# which hid almost everything. Operator-tunable via Settings → ML.
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suggestion_threshold_general: Mapped[float] = mapped_column(
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Float, nullable=False, default=0.70
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)
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centroid_similarity_threshold: Mapped[float] = mapped_column(
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Float, nullable=False, default=0.55
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)
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min_reference_images: Mapped[int] = mapped_column(
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Integer, nullable=False, default=5
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)
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tagger_model_version: Mapped[str] = mapped_column(
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String(128), nullable=False, default="camie-tagger-v2"
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)
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embedder_model_version: Mapped[str] = mapped_column(
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String(128), nullable=False, default="siglip-so400m-patch14-384"
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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