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.
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
"""suggestion_threshold default 0.50 → 0.70
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Revision ID: 0033
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Revises: 0032
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Create Date: 2026-06-02
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Operator-flagged 2026-06-02 — the 0.50 default (set on 2026-06-01) is
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too noisy in practice; raise to 0.70 for both suggestion categories.
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Only conditionally updates singletons whose current value is still the
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2026-06-01 default (0.50). Operators who deliberately tuned their row
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to some other value (0.55, 0.65, 0.80, etc. via the Settings UI) keep
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their pick — the migration only catches the unchanged-default case.
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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 = "0033"
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down_revision: Union[str, None] = "0032"
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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.execute(
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"UPDATE ml_settings "
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"SET suggestion_threshold_character = 0.70 "
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"WHERE id = 1 AND suggestion_threshold_character = 0.50"
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)
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op.execute(
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"UPDATE ml_settings "
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"SET suggestion_threshold_general = 0.70 "
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"WHERE id = 1 AND suggestion_threshold_general = 0.50"
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)
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def downgrade() -> None:
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op.execute(
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"UPDATE ml_settings "
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"SET suggestion_threshold_character = 0.50 "
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"WHERE id = 1 AND suggestion_threshold_character = 0.70"
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)
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op.execute(
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"UPDATE ml_settings "
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"SET suggestion_threshold_general = 0.50 "
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"WHERE id = 1 AND suggestion_threshold_general = 0.70"
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)
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