"""image_region: detected/proposed regions + their crop embeddings (#114) Storage backbone of the crop pipeline. A region = normalized bbox + the crop's embedding (CCIP for face/figure → character id; SigLIP for concept regions → head bag-of-embeddings). Also serves as grounded-tag bbox provenance. Revision ID: 0061 Revises: 0060 Create Date: 2026-06-29 """ from typing import Sequence, Union import sqlalchemy as sa from alembic import op from pgvector.sqlalchemy import Vector revision: str = "0061" down_revision: Union[str, None] = "0060" branch_labels: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None _CCIP_DIM = 768 _SIGLIP_DIM = 1152 def upgrade() -> None: op.create_table( "image_region", sa.Column("id", sa.Integer(), primary_key=True), sa.Column( "image_record_id", sa.Integer(), sa.ForeignKey("image_record.id", ondelete="CASCADE"), nullable=False, ), sa.Column("kind", sa.String(length=16), nullable=False), # Video/animated: source frame timestamp (seconds); NULL for stills. sa.Column("frame_time", sa.Float(), nullable=True), sa.Column("rx", sa.Float(), nullable=False), sa.Column("ry", sa.Float(), nullable=False), sa.Column("rw", sa.Float(), nullable=False), sa.Column("rh", sa.Float(), nullable=False), sa.Column("score", sa.Float(), nullable=True), sa.Column("detector_version", sa.String(length=64), nullable=True), sa.Column("crop_version", sa.String(length=64), nullable=True), sa.Column("embedding_version", sa.String(length=128), nullable=True), sa.Column("ccip_embedding", Vector(_CCIP_DIM), nullable=True), sa.Column("siglip_embedding", Vector(_SIGLIP_DIM), nullable=True), sa.Column( "created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now(), ), ) op.create_index( "ix_image_region_image_record_id", "image_region", ["image_record_id"], ) def downgrade() -> None: op.drop_index("ix_image_region_image_record_id", table_name="image_region") op.drop_table("image_region")