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"""
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数据缓冲平台 - 双写一致性与数据迁移完整性验证测试
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本测试通过内存 Fake Redis 与 mock/fake MySQL 验证：
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1. save_market_data 成功后 MySQL 与 Redis 数据内容一致；
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2. Redis 写入失败不影响 MySQL 持久化；
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3. migrate_sqlite_to_mysql 的幂等性与迁移记录数正确性；
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4. 使用真实内存数据库做端到端迁移验证时暴露的生产代码缺陷。
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"""
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import json
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from datetime import datetime
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from unittest.mock import MagicMock, patch
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import pytest
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from sqlalchemy import create_engine
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from sqlalchemy.orm import sessionmaker
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from app.models import Base, MarketData, SymbolTimestamp
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from app.storage_manager import StorageManager
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class FakeRedis:
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"""内存模拟 Redis 客户端，支持 setex / get / delete / keys / ping。"""
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def __init__(self, fail_on_write=False):
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self._store = {}
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self.fail_on_write = fail_on_write
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def ping(self):
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return True
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def get(self, key):
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return self._store.get(key)
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def setex(self, key, seconds, value):
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if self.fail_on_write:
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raise Exception("Redis 写入失败")
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self._store[key] = value
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def delete(self, *keys):
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if self.fail_on_write:
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raise Exception("Redis 删除失败")
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for key in keys:
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self._store.pop(key, None)
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def keys(self, pattern):
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prefix = pattern.replace("*", "")
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return [k for k in self._store.keys() if k.startswith(prefix)]
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def _make_mysql_memory():
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"""创建内存 MySQL 模拟引擎和会话工厂。"""
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engine = create_engine("sqlite:///:memory:")
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Base.metadata.create_all(bind=engine)
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SessionLocal = sessionmaker(bind=engine)
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return engine, SessionLocal
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def _create_sqlite_source(tmp_path, market_count=2, timestamp_count=1):
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"""创建包含测试数据的 SQLite 源数据库，并返回引擎与记录数。"""
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db_path = tmp_path / "test_source.db"
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engine = create_engine(f"sqlite:///{db_path}")
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Base.metadata.create_all(bind=engine)
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Session = sessionmaker(bind=engine)
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session = Session()
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fetched_at = datetime(2026, 7, 4, 10, 0, 0)
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for i in range(market_count):
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session.add(
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MarketData(
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symbol="AG2606",
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data_type="futures",
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period=f"{(i + 1) * 5}min",
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candles_json='[{"open": 100, "close": 110}]',
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current_price=123.45,
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fetched_at=fetched_at,
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candle_count=1,
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)
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)
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for _ in range(timestamp_count):
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session.add(
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SymbolTimestamp(
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symbol="AG2606",
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data_type="futures",
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last_refresh_at=fetched_at,
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refresh_count=5,
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)
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)
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session.commit()
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session.close()
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return engine, market_count, timestamp_count
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def _make_mysql_session(market_data_count=0, symbol_timestamp_count=0):
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"""构造模拟 MySQL 会话，支持记录写入和计数查询。"""
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mysql_session = MagicMock()
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mysql_session.__enter__ = MagicMock(return_value=mysql_session)
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mysql_session.__exit__ = MagicMock(return_value=False)
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added_market_data = []
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added_symbol_timestamps = []
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def mock_query(model):
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query = MagicMock()
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if model is MarketData:
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query.count.return_value = market_data_count
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elif model is SymbolTimestamp:
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query.count.return_value = symbol_timestamp_count
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return query
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mysql_session.query.side_effect = mock_query
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mysql_session.add_all.side_effect = lambda records: (
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added_market_data.extend(records)
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if records and isinstance(records[0], MarketData)
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else added_symbol_timestamps.extend(records)
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)
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return mysql_session, added_market_data, added_symbol_timestamps
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@pytest.fixture
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def sample_market_data():
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"""构造与采集脚本格式一致的测试数据。"""
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return {
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"type": "futures",
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"current_price": 123.45,
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"timestamp": datetime(2026, 7, 4, 10, 0, 0).isoformat(),
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"timeframes": {
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"5min": [{"open": 100, "close": 110}],
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"15min": [{"open": 105, "close": 115}],
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},
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}
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class TestDualWriteConsistency:
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"""双写一致性验证。"""
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def test_save_market_data_writes_consistent_data_to_mysql_and_redis(
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self, sample_market_data
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):
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"""save_market_data 成功后，MySQL 与 Redis 中数据内容一致。"""
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redis_client = FakeRedis()
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mysql_engine, MySQLSessionLocal = _make_mysql_memory()
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manager = StorageManager(redis_client=redis_client, mysql_engine=mysql_engine)
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result = manager.save_market_data("AG2606", sample_market_data)
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assert result is True
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# 验证 MySQL 持久化数据
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with MySQLSessionLocal() as db:
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records = db.query(MarketData).filter_by(symbol="AG2606").all()
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assert len(records) == 2
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mysql_by_period = {r.period: r for r in records}
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assert "5min" in mysql_by_period
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assert "15min" in mysql_by_period
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assert mysql_by_period["5min"].current_price == 123.45
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assert mysql_by_period["15min"].current_price == 123.45
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# 验证 Redis 缓存数据
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redis_5min = json.loads(redis_client.get("market_data:AG2606:5min"))
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redis_15min = json.loads(redis_client.get("market_data:AG2606:15min"))
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assert redis_5min["current_price"] == 123.45
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assert redis_15min["current_price"] == 123.45
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assert redis_5min["candles"] == [{"open": 100, "close": 110}]
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assert redis_15min["candles"] == [{"open": 105, "close": 115}]
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# 验证 MySQL 与 Redis 内容一致
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assert (
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mysql_by_period["5min"].current_price == redis_5min["current_price"]
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)
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assert (
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mysql_by_period["15min"].current_price == redis_15min["current_price"]
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)
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assert (
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json.loads(mysql_by_period["5min"].candles_json) == redis_5min["candles"]
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)
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assert (
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json.loads(mysql_by_period["15min"].candles_json)
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== redis_15min["candles"]
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)
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def test_redis_write_failure_does_not_affect_mysql_persistence(
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self, sample_market_data
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):
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"""Redis 写入失败时，MySQL 数据持久化不受影响，save_market_data 仍返回 True。"""
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redis_client = FakeRedis(fail_on_write=True)
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mysql_engine, MySQLSessionLocal = _make_mysql_memory()
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manager = StorageManager(redis_client=redis_client, mysql_engine=mysql_engine)
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result = manager.save_market_data("AG2606", sample_market_data)
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assert result is True
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# 验证 MySQL 仍有完整数据
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with MySQLSessionLocal() as db:
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records = db.query(MarketData).filter_by(symbol="AG2606").all()
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assert len(records) == 2
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periods = {r.period for r in records}
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assert periods == {"5min", "15min"}
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# 验证 Redis 无缓存写入
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assert redis_client.get("market_data:AG2606:5min") is None
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assert redis_client.get("market_data:AG2606:15min") is None
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class TestMigrationIntegrity:
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"""数据迁移完整性验证。"""
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def test_migration_copies_expected_record_counts_from_sqlite_to_mysql(
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self, tmp_path
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):
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"""MySQL 为空时，migrate_sqlite_to_mysql 迁移 SQLite 中全部记录。"""
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sqlite_engine, sqlite_market_count, sqlite_timestamp_count = (
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_create_sqlite_source(tmp_path)
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)
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mysql_session, added_market_data, added_symbol_timestamps = (
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_make_mysql_session(market_data_count=0, symbol_timestamp_count=0)
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)
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with patch("app.migration.create_engine", return_value=sqlite_engine):
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with patch(
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"app.migration.MySQLSessionLocal", return_value=mysql_session
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):
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from app.migration import migrate_sqlite_to_mysql
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result = migrate_sqlite_to_mysql()
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assert result is True
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assert len(added_market_data) == sqlite_market_count
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assert len(added_symbol_timestamps) == sqlite_timestamp_count
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assert added_market_data[0].symbol == "AG2606"
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assert added_market_data[0].period == "5min"
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assert added_symbol_timestamps[0].symbol == "AG2606"
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mysql_session.commit.assert_called_once()
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def test_migration_is_idempotent_when_mysql_has_data(self, tmp_path):
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"""MySQL 已有数据时迁移被跳过，保持幂等性，不覆盖已有数据。"""
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sqlite_engine, _, _ = _create_sqlite_source(tmp_path)
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mysql_session, added_market_data, added_symbol_timestamps = (
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_make_mysql_session(market_data_count=1, symbol_timestamp_count=1)
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)
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with patch("app.migration.create_engine", return_value=sqlite_engine):
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with patch(
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"app.migration.MySQLSessionLocal", return_value=mysql_session
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):
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from app.migration import migrate_sqlite_to_mysql
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result = migrate_sqlite_to_mysql()
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assert result is False
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assert len(added_market_data) == 0
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assert len(added_symbol_timestamps) == 0
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mysql_session.commit.assert_not_called()
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@pytest.mark.xfail(
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reason="app/migration.py 对 detached ORM 实例直接 add_all 不会触发 INSERT，"
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"需使用 make_transient() 或重新构造记录。",
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strict=False,
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)
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def test_migration_end_to_end_with_in_memory_databases(self, tmp_path):
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"""使用真实内存数据库验证迁移前后数据条数一致（当前已知缺陷）。"""
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sqlite_engine, sqlite_market_count, sqlite_timestamp_count = (
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_create_sqlite_source(tmp_path)
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)
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mysql_engine, MySQLSessionLocal = _make_mysql_memory()
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with patch("app.migration.create_engine", return_value=sqlite_engine):
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with patch("app.migration.MySQLSessionLocal", MySQLSessionLocal):
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from app.migration import migrate_sqlite_to_mysql
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result = migrate_sqlite_to_mysql()
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assert result is True
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mysql_session = MySQLSessionLocal()
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try:
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assert mysql_session.query(MarketData).count() == sqlite_market_count
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assert (
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mysql_session.query(SymbolTimestamp).count() == sqlite_timestamp_count
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)
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finally:
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mysql_session.close()
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