42 lines
1.7 KiB
Python
42 lines
1.7 KiB
Python
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"""Classify snapshots whose sole Alpha failure is the unopened PPAC theme."""
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import sqlalchemy as sa
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from alembic import op
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revision = "0022"
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down_revision = "0021"
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branch_labels = None
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depends_on = None
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def upgrade():
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# Reuse the indexed check_type column; preserve all raw evidence and check stages.
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table = sa.table("alphas", sa.column("id", sa.String()), sa.column("checks", sa.JSON()),
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sa.column("check_type", sa.String(20)))
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connection = op.get_bind()
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last_id = None
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while True:
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query = sa.select(table.c.id, table.c.checks).order_by(table.c.id).limit(500)
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if last_id is not None:
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query = query.where(table.c.id > last_id)
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rows = connection.execute(query).mappings().all()
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if not rows:
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break
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candidates = []
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for row in rows:
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# Freeze the current interpretation instead of importing application code.
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checks = row["checks"] if isinstance(row["checks"], list) else []
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failures = [check for check in checks if isinstance(check, dict)
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and check.get("name") != "REGULAR_SUBMISSION"
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and isinstance(check.get("result"), str) and check["result"].upper() == "FAIL"]
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if len(failures) == 1 and failures[0].get("name") == "PURE_POWER_POOL_THEME":
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candidates.append(row["id"])
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if candidates:
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connection.execute(table.update().where(table.c.id.in_(candidates)).values(check_type="PPAC_CANDIDATE"))
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last_id = rows[-1]["id"]
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def downgrade():
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table = sa.table("alphas", sa.column("check_type", sa.String(20)))
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op.execute(table.update().where(table.c.check_type == "PPAC_CANDIDATE").values(check_type="FAIL_1"))
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