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68880dbbf1
* feat(subscription): govern concurrent search and match execution * refactor(subscription): consume complete candidate snapshots * refactor(subscription): remove download submission ledger * feat(subscription): stagger fallback searches without site gaps * refactor(subscription): remove unused retry capability * test(subscription): verify complete scale execution * fix(subscription): surface site search failures * test(subscription): verify site pressure through search * test(subscription): use static facade imports * fix(subscription): preserve completed downloads on shutdown * fix(subscription): classify execution expiry as failure * fix(subscription): preserve fallback search staggering * test(subscription): stabilize unfinished wrapper gate * fix(subscription): settle expired search returns * style(subscription): normalize governance imports * fix(subscription): align governance type contracts * docs(architecture): sync mypy debt metric * docs(architecture): sync startup module counts
62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
"""订阅搜索批次跳过计数的 Alembic 可逆迁移测试。"""
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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.b6c1d9e4a7f2_3_0_24"
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def _bind_migration(monkeypatch, connection):
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"""把跳过计数迁移绑定到隔离 SQLite 连接。"""
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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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return migration
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def test_subscription_search_skipped_count_migration_is_reversible(monkeypatch) -> None:
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"""存量批次获得零默认值，迁移可重复执行并完整回滚。"""
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engine = sa.create_engine("sqlite://")
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metadata = sa.MetaData()
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batch = sa.Table(
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"subscriptionsearchbatch",
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metadata,
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sa.Column("id", sa.Integer(), primary_key=True),
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sa.Column("batch_id", sa.String(64), nullable=False),
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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(batch.insert(), {"id": 1, "batch_id": "batch-1"})
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migration = _bind_migration(monkeypatch, connection)
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migration.upgrade()
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migration.upgrade()
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columns = {
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column["name"]
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for column in sa.inspect(connection).get_columns("subscriptionsearchbatch")
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}
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assert "skipped_count" in columns
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assert connection.execute(
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sa.text("SELECT skipped_count FROM subscriptionsearchbatch WHERE id = 1")
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).scalar_one() == 0
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migration.downgrade()
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downgraded = {
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column["name"]
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for column in sa.inspect(connection).get_columns("subscriptionsearchbatch")
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}
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assert "skipped_count" not in downgraded
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migration.upgrade()
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assert connection.execute(
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sa.text("SELECT skipped_count FROM subscriptionsearchbatch WHERE id = 1")
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).scalar_one() == 0
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engine.dispose()
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