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mimic/backend/migrations/versions/0003_simulation_techniques_array.py

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"""replace scalar MITRE columns with techniques JSON array
Revision ID: 0003
Revises: 0002
Create Date: 2026-05-27 00:00:00.000000
"""
import json
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql import text
revision = "0003"
down_revision = "0002"
branch_labels = None
depends_on = None
def upgrade():
bind = op.get_bind()
# 1. Add techniques column (nullable while we backfill).
op.add_column("simulations", sa.Column("techniques", sa.Text(), nullable=True))
# 2. Backfill: scalar → JSON array.
rows = bind.execute(
text("SELECT id, mitre_technique_id, mitre_technique_name FROM simulations")
).fetchall()
for row in rows:
if row[1]: # mitre_technique_id is not null
val = json.dumps([{"id": row[1], "name": row[2] or ""}])
else:
val = "[]"
bind.execute(
text("UPDATE simulations SET techniques = :v WHERE id = :id"),
{"v": val, "id": row[0]},
)
# 3. Make NOT NULL now that every row has a value.
with op.batch_alter_table("simulations") as batch_op:
batch_op.alter_column("techniques", existing_type=sa.Text(), nullable=False)
# 4. Drop old scalar columns.
with op.batch_alter_table("simulations") as batch_op:
batch_op.drop_column("mitre_technique_id")
batch_op.drop_column("mitre_technique_name")
def downgrade():
bind = op.get_bind()
# 1. Re-add scalar columns.
with op.batch_alter_table("simulations") as batch_op:
batch_op.add_column(sa.Column("mitre_technique_id", sa.String(length=32), nullable=True))
batch_op.add_column(sa.Column("mitre_technique_name", sa.String(length=255), nullable=True))
# 2. Back-fill: take first element of techniques array.
rows = bind.execute(text("SELECT id, techniques FROM simulations")).fetchall()
for row in rows:
techniques = json.loads(row[1] or "[]")
if techniques:
first = techniques[0]
bind.execute(
text(
"UPDATE simulations SET mitre_technique_id = :tid, mitre_technique_name = :tname WHERE id = :id"
),
{"tid": first.get("id"), "tname": first.get("name"), "id": row[0]},
)
# 3. Drop techniques column.
with op.batch_alter_table("simulations") as batch_op:
batch_op.drop_column("techniques")