"""import_batch: загрузки файлов сделок QUIK (D19) Revision ID: 3b9f1c2a7d41 Revises: ef0ccff2e887 Create Date: 2026-10-15 00:00:00 """ from typing import Sequence, Union import sqlalchemy as sa from sqlalchemy.dialects import postgresql from alembic import op from app.core.config import settings # revision identifiers, used by Alembic. revision: str = "3b9f1c2a7d41" down_revision: Union[str, None] = "ef0ccff2e887" branch_labels: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None _schema = settings.DATABASE_SCHEMA or None # Типы зафиксированы в ревизии, как и в начальной миграции. _BIGINT_PK = sa.BigInteger().with_variant(sa.Integer(), "sqlite") _JSON = sa.JSON().with_variant(postgresql.JSONB(), "postgresql") def _fk(table_column: str) -> str: return f"{_schema}.{table_column}" if _schema else table_column def upgrade() -> None: """Upgrade schema.""" op.create_table( "import_batch", sa.Column("id", _BIGINT_PK, sa.Identity(), primary_key=True), sa.Column("source", sa.String(10), nullable=False), sa.Column( "portfolio_id", sa.BigInteger(), sa.ForeignKey(_fk("portfolio.id")), nullable=False, ), sa.Column("file_name", sa.String(255), nullable=False), sa.Column("content_sha256", sa.String(64), nullable=False), sa.Column("date_from", sa.Date(), nullable=False), sa.Column("date_to", sa.Date(), nullable=False), sa.Column("rows_total", sa.Integer(), nullable=False), sa.Column("rows_loaded", sa.Integer(), nullable=False), sa.Column("rows_excluded", sa.Integer(), nullable=False), sa.Column("loaded_rows", _JSON, nullable=False), sa.Column( "created_at", sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False, ), sa.Column("created_by", sa.String(255), nullable=False), sa.Column( "updated_at", sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False, ), sa.Column("updated_by", sa.String(255), nullable=False), sa.UniqueConstraint( "content_sha256", "portfolio_id", name="uq_import_batch_content_portfolio" ), schema=_schema, ) def downgrade() -> None: """Downgrade schema.""" op.drop_table("import_batch", schema=_schema)