"""several node keys per account: one per machine the person runs a node on Revision ID: f8a9b0c1d2e3 Revises: e7f8a9b0c1d2 """ import uuid from collections.abc import Sequence from datetime import UTC, datetime import sqlalchemy as sa from alembic import op revision: str = "f8a9b0c1d2e3" down_revision: str | Sequence[str] | None = "e7f8a9b0c1d2" branch_labels: str | Sequence[str] | None = None depends_on: str | Sequence[str] | None = None def upgrade() -> None: node_keys = op.create_table( "node_keys", sa.Column("id", sa.String(36), primary_key=True), sa.Column("user_id", sa.String(36), sa.ForeignKey("users.id"), nullable=False), sa.Column("pk_node_ed25519", sa.String(64), nullable=False), sa.Column("linked_at", sa.DateTime(timezone=True)), ) op.create_index("uq_node_keys_user_key", "node_keys", ["user_id", "pk_node_ed25519"], unique=True) # The key each account had linked keeps working: it becomes that account's # first row, so no node has to be linked again after the upgrade. conn = op.get_bind() linked = conn.execute(sa.text( "SELECT id, pk_node_ed25519 FROM users WHERE pk_node_ed25519 IS NOT NULL " "AND pk_node_ed25519 <> ''")).fetchall() now = datetime.now(UTC) if linked: op.bulk_insert(node_keys, [ {"id": str(uuid.uuid4()), "user_id": uid, "pk_node_ed25519": pk, "linked_at": now} for uid, pk in linked]) with op.batch_alter_table("users") as batch: batch.drop_column("pk_node_ed25519") def downgrade() -> None: with op.batch_alter_table("users") as batch: batch.add_column(sa.Column("pk_node_ed25519", sa.String(64), nullable=True)) # One column holds one key: the most recently linked one is kept, which is # the node the account would have had linked last before this revision. conn = op.get_bind() rows = conn.execute(sa.text( "SELECT user_id, pk_node_ed25519 FROM node_keys ORDER BY linked_at")).fetchall() latest = {uid: pk for uid, pk in rows} for uid, pk in latest.items(): conn.execute(sa.text("UPDATE users SET pk_node_ed25519 = :pk WHERE id = :uid"), {"pk": pk, "uid": uid}) op.drop_index("uq_node_keys_user_key", table_name="node_keys") op.drop_table("node_keys")