bvandeusen
359bc5a283
- Migration 0069: new installs default to SigLIP 2 (so400m, 512px, 1152-d drop-in) — UPDATE applies ONLY where no image is embedded yet (fresh install), so an existing library is NOT silently invalidated; it switches deliberately via the dropdown → Re-embed → Retrain. Column server_defaults moved to SigLIP 2. - GET /api/ml/embedder-models: server-authoritative supported list (SigLIP 2 512 recommended / 384 faster / SigLIP 1 384 original) so the UI never free-types. - GpuAgentCard: the two name/version text fields → a single model dropdown; Save sets name+version from the picked option (the current model is always selectable even if off-list). - embedder.py DEFAULT_MODEL_NAME unchanged (stays the baked local-dir SigLIP 1) to avoid a local-dir/weights mismatch; SigLIP 2 loads by HF name, cached on the ml-worker's persistent HF_HOME. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
"""default the embedder to SigLIP 2 — for FRESH installs only (#1203)
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Make SigLIP 2 (so400m, 512px; a 1152-d drop-in) the default embedder. New
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installs start on it. An EXISTING library is NOT touched: flipping its stored
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embedder version would mark every embedding stale (the scorer is version-gated)
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and kill suggestions until a full re-embed+retrain — so an existing instance
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switches deliberately via Settings → GPU agent → Embedding model → Re-embed →
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Retrain. We detect "fresh" by the absence of any embedded image.
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Revision ID: 0069
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Revises: 0068
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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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from alembic import op
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revision: str = "0069"
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down_revision: Union[str, None] = "0068"
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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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_NEW_NAME = "google/siglip2-so400m-patch16-512"
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_NEW_VERSION = "siglip2-so400m-patch16-512"
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_OLD_NAME = "google/siglip-so400m-patch14-384"
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_OLD_VERSION = "siglip-so400m-patch14-384"
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def upgrade() -> None:
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# Fresh install (nothing embedded yet) → adopt SigLIP 2.
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op.execute(
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f"""
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UPDATE ml_settings SET
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embedder_model_name = '{_NEW_NAME}',
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embedder_model_version = '{_NEW_VERSION}'
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WHERE NOT EXISTS (
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SELECT 1 FROM image_record WHERE siglip_embedding IS NOT NULL
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)
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"""
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)
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op.alter_column("ml_settings", "embedder_model_name", server_default=_NEW_NAME)
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op.alter_column(
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"ml_settings", "embedder_model_version", server_default=_NEW_VERSION
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)
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def downgrade() -> None:
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op.alter_column("ml_settings", "embedder_model_name", server_default=_OLD_NAME)
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op.alter_column(
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"ml_settings", "embedder_model_version", server_default=_OLD_VERSION
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)
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