bvandeusen
3d77a38a25
The v2 pivot replaced per-tag SigLIP centroids with learned heads + CCIP. Centroids were still recomputed (on every tag merge + a daily beat) but NOTHING read them — suggestions come from heads+CCIP and apply_allowlist_tags applies via Camie predictions, not centroids. Pure dead wiring; remove it. Removed: CentroidService, recompute_centroid/recompute_centroids tasks, the daily beat, POST /api/ml/recompute-centroids, the recompute-on-merge trigger, the tag_reference_embedding table + model, the centroid_similarity_threshold + min_reference_images settings (migration 0066), the CentroidRecomputeCard + its store action + MaintenancePanel tile, and the centroid slider in MLThresholdSliders. _keep_as_alias drops its vestigial has-centroid branch (the allowlist branch already covers "could re-emit"); tag merge no longer clears a table that no longer exists. NOT touched (still live, parallel to heads): the Camie tagger, ImagePrediction, and the allowlist bulk-apply — accepting a suggestion still allowlists + applies it across the library. The tag-eval "centroid" baseline metric is unrelated (in-memory) and stays. (image_record.centroid_scores JSON column also remains — separate legacy field, its own micro-cleanup.) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
"""drop the dead per-tag centroid subsystem (#1189 cleanup)
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The v2 pivot replaced per-tag SigLIP centroids with learned heads + CCIP.
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Nothing read the centroids anymore — they were recomputed (on merge + a daily
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beat) but never consumed for suggestions or auto-apply. Remove the storage +
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its two now-unused settings columns. (The recompute tasks, beat, endpoint,
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service, and UI card are removed in the same change.)
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Revision ID: 0066
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Revises: 0065
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Create Date: 2026-06-30
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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 = "0066"
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down_revision: Union[str, None] = "0065"
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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.drop_table("tag_reference_embedding")
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op.drop_column("ml_settings", "centroid_similarity_threshold")
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op.drop_column("ml_settings", "min_reference_images")
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def downgrade() -> None:
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op.add_column(
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"ml_settings",
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sa.Column(
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"min_reference_images", sa.Integer(), nullable=False,
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server_default="5",
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),
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)
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op.add_column(
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"ml_settings",
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sa.Column(
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"centroid_similarity_threshold", sa.Float(), nullable=False,
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server_default="0.55",
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),
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)
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op.create_table(
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"tag_reference_embedding",
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sa.Column("tag_id", sa.Integer(), nullable=False),
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sa.Column("embedding", sa.LargeBinary(), nullable=False),
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sa.Column("reference_count", sa.Integer(), nullable=False),
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sa.Column("model_version", sa.String(length=128), nullable=False),
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sa.Column(
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"updated_at", sa.DateTime(timezone=True),
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server_default=sa.func.now(), nullable=False,
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),
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sa.ForeignKeyConstraint(["tag_id"], ["tag.id"], ondelete="CASCADE"),
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sa.PrimaryKeyConstraint("tag_id"),
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)
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