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66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
"""整理失败反馈字段的数据库迁移测试。"""
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import importlib
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import sqlalchemy as sa
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from alembic.migration import MigrationContext
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from alembic.operations import Operations
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MIGRATION = "database.versions.a1b2c3d4e5f6_3_0_32"
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EXPECTED_COLUMNS = {
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"retry_count",
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"auto_paused",
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"failure_stage",
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"recovery_action",
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"cleanup_status",
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"cleanup_error",
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}
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def _columns(connection) -> set[str]:
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"""返回测试整理历史表的字段集合。"""
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return {
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column["name"]
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for column in sa.inspect(connection).get_columns("transferhistory")
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}
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def test_transfer_failure_feedback_migration_is_idempotent_and_reversible(monkeypatch) -> None:
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"""升级应幂等补齐失败闭环字段，降级应完整移除且保留原字段。"""
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engine = sa.create_engine("sqlite://")
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metadata = sa.MetaData()
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table = sa.Table(
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"transferhistory",
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metadata,
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sa.Column("id", sa.Integer(), primary_key=True),
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sa.Column("src", sa.String()),
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)
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with engine.begin() as connection:
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metadata.create_all(connection)
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connection.execute(table.insert(), {"id": 1, "src": "/downloads/movie.mkv"})
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migration = importlib.import_module(MIGRATION)
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monkeypatch.setattr(
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migration,
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"op",
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Operations(MigrationContext.configure(connection)),
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)
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migration.upgrade()
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migration.upgrade()
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assert EXPECTED_COLUMNS <= _columns(connection)
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upgraded = sa.Table(
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"transferhistory",
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sa.MetaData(),
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autoload_with=connection,
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)
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row = connection.execute(
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sa.select(upgraded).where(upgraded.c.id == 1)
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).mappings().one()
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assert row["auto_paused"] is False
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migration.downgrade()
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assert EXPECTED_COLUMNS.isdisjoint(_columns(connection))
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assert {"id", "src"} <= _columns(connection)
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