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FabledCurator/alembic/versions/0078_ml_settings_detectors.py
T
bvandeusen 6959e1220c Revert "db: collapse alembic 0001..0087 into one baseline"
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.
2026-08-30 14:34:28 -04:00

84 lines
3.4 KiB
Python

"""ml_settings crop-proposer / detector config (#134)
Move the WHERE-to-crop detector config (per-proposer enable + weights + conf,
plus caps + dedupe IoU) into the DB so it's UI-tunable and announced to the GPU
agent in the lease (like the embedder model) — no restart, agent env is now
bootstrap-only. All server_defaults are the working values so existing rows +
fresh installs crop out-of-the-box with all three proposers ON.
Revision ID: 0078
Revises: 0077
Create Date: 2026-07-05
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
revision: str = "0078"
down_revision: Union[str, None] = "0077"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
_ANATOMY_DEFAULT = (
"https://github.com/aperveyev/booru_yolo/raw/main/models/yolov11m_aa22.pt"
)
_PANEL_DEFAULT = "mosesb/best-comic-panel-detection::best.pt"
def upgrade() -> None:
op.add_column("ml_settings", sa.Column(
"detector_person_enabled", sa.Boolean(), nullable=False,
server_default=sa.true()))
op.add_column("ml_settings", sa.Column(
"detector_person_weights", sa.String(512), nullable=False,
server_default="yolo11n.pt"))
op.add_column("ml_settings", sa.Column(
"detector_person_conf", sa.Float(), nullable=False,
server_default=sa.text("0.35")))
op.add_column("ml_settings", sa.Column(
"detector_anatomy_enabled", sa.Boolean(), nullable=False,
server_default=sa.true()))
op.add_column("ml_settings", sa.Column(
"detector_anatomy_weights", sa.String(512), nullable=False,
server_default=_ANATOMY_DEFAULT))
op.add_column("ml_settings", sa.Column(
"detector_anatomy_conf", sa.Float(), nullable=False,
server_default=sa.text("0.30")))
op.add_column("ml_settings", sa.Column(
"detector_panel_enabled", sa.Boolean(), nullable=False,
server_default=sa.true()))
op.add_column("ml_settings", sa.Column(
"detector_panel_weights", sa.String(512), nullable=False,
server_default=_PANEL_DEFAULT))
op.add_column("ml_settings", sa.Column(
"detector_panel_conf", sa.Float(), nullable=False,
server_default=sa.text("0.30")))
op.add_column("ml_settings", sa.Column(
"detector_max_figures", sa.Integer(), nullable=False,
server_default=sa.text("8")))
op.add_column("ml_settings", sa.Column(
"detector_max_components", sa.Integer(), nullable=False,
server_default=sa.text("8")))
op.add_column("ml_settings", sa.Column(
"detector_max_panels", sa.Integer(), nullable=False,
server_default=sa.text("8")))
op.add_column("ml_settings", sa.Column(
"detector_max_regions", sa.Integer(), nullable=False,
server_default=sa.text("128")))
op.add_column("ml_settings", sa.Column(
"detector_dedupe_iou", sa.Float(), nullable=False,
server_default=sa.text("0.85")))
def downgrade() -> None:
for col in (
"detector_person_enabled", "detector_person_weights", "detector_person_conf",
"detector_anatomy_enabled", "detector_anatomy_weights", "detector_anatomy_conf",
"detector_panel_enabled", "detector_panel_weights", "detector_panel_conf",
"detector_max_figures", "detector_max_components", "detector_max_panels",
"detector_max_regions", "detector_dedupe_iou",
):
op.drop_column("ml_settings", col)