"""create scenario_metrics table Revision ID: 5e247ed57b77 Revises: e46de4b0264a Create Date: 2026-04-07 13:49:11.267167 """ from typing import Sequence, Union from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import postgresql # revision identifiers, used by Alembic. revision: str = "5e247ed57b77" down_revision: Union[str, Sequence[str], None] = "e46de4b0264a" branch_labels: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None def upgrade() -> None: """Upgrade schema.""" op.create_table( "scenario_metrics", sa.Column( "id", postgresql.UUID(as_uuid=True), primary_key=True, server_default=sa.text("uuid_generate_v4()"), ), sa.Column( "scenario_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("scenarios.id", ondelete="CASCADE"), nullable=False, ), sa.Column( "timestamp", sa.TIMESTAMP(timezone=True), server_default=sa.text("NOW()"), nullable=False, ), sa.Column( "metric_type", sa.String(50), nullable=False ), # 'sqs', 'lambda', 'bedrock', 'safety' sa.Column("metric_name", sa.String(100), nullable=False), sa.Column( "value", sa.DECIMAL(15, 6), server_default="0.000000", nullable=False ), sa.Column( "unit", sa.String(20), nullable=False ), # 'count', 'bytes', 'tokens', 'usd', 'invocations' sa.Column("metadata", postgresql.JSONB(), server_default="{}"), ) # Add indexes op.create_index("idx_metrics_scenario_id", "scenario_metrics", ["scenario_id"]) op.create_index( "idx_metrics_timestamp", "scenario_metrics", ["timestamp"], postgresql_using="brin", ) op.create_index("idx_metrics_type", "scenario_metrics", ["metric_type"]) op.create_index( "idx_metrics_scenario_type", "scenario_metrics", ["scenario_id", "metric_type"] ) def downgrade() -> None: """Downgrade schema.""" # Drop indexes op.drop_index("idx_metrics_scenario_type", table_name="scenario_metrics") op.drop_index("idx_metrics_type", table_name="scenario_metrics") op.drop_index("idx_metrics_timestamp", table_name="scenario_metrics") op.drop_index("idx_metrics_scenario_id", table_name="scenario_metrics") # Drop table op.drop_table("scenario_metrics")