bvandeusen
6959e1220c
This reverts 2529b51. Not a retreat — a reordering, on the operator's
call, and the better sequence.
The squash's acceptance test (run 4971) found ~130 places where the ORM
models do not describe the deployed schema (#3275), including a
unique=True the database never had and two UNIQUE indexes that exist
only in migrations. Collapsing now would have baked all of that into the
one file a public installer starts from.
So: fix the drift first as ordinary migrations on the intact chain, let
the operator deploy so their database moves to the corrected head, and
only then collapse. The baseline is then generated from reconciled
models and reproduces a schema worth reproducing.
Nothing is lost by reverting. The baseline was never deployed, and
regenerating it after the fixes is strictly better than patching this
copy — it will come out of autogenerate correct rather than needing the
same hand-finishing twice.
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
"""Smoke test for migration 0003: model classes import, schema shape correct."""
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from backend.app.models import (
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Base,
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ImageRecord,
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MLSettings,
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TagAlias,
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TagSuggestionRejection,
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)
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def test_new_tables_registered():
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expected = {
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"tag_suggestion_rejection",
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"tag_alias",
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"ml_settings",
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}
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assert expected.issubset(Base.metadata.tables.keys())
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def test_image_record_columns_renamed():
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cols = {c.name for c in ImageRecord.__table__.columns}
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# Legacy tagger columns are all gone: tagger_predictions/wd14_* dropped in
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# 0046, tagger_model_version + centroid_scores dropped in 0068 (#1199, Camie
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# retirement). The SigLIP embedding columns are the live ML fields.
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assert "siglip_embedding" in cols
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assert "siglip_model_version" in cols
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assert "tagger_model_version" not in cols
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assert "centroid_scores" not in cols
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assert "tagger_predictions" not in cols
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assert "wd14_predictions" not in cols
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def test_tag_alias_composite_pk():
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pk_cols = {c.name for c in TagAlias.__table__.primary_key.columns}
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assert pk_cols == {"alias_string", "alias_category"}
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def test_ml_settings_singleton_constraint():
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names = {c.name for c in MLSettings.__table__.constraints}
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assert "ck_ml_settings_singleton" in names
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def test_tag_suggestion_rejection_pk():
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pk_cols = {c.name for c in TagSuggestionRejection.__table__.primary_key.columns}
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assert pk_cols == {"image_record_id", "tag_id"}
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