Initial commit: Pixel AI comic/video creation platform
- FastAPI backend with SQLModel, Alembic migrations, AgentScope agents - Next.js 15 frontend with React 19, Tailwind, Zustand, React Flow - Multi-provider AI system (DashScope, Kling, MiniMax, Volcengine, OpenAI, etc.) - All HTTP clients migrated from sync requests to async httpx - Admin-managed API keys via environment variables - SSRF vulnerability fixed in ensure_url()
This commit is contained in:
张鹏
756
backend/tests/test_cache_properties.py
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756
backend/tests/test_cache_properties.py
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"""
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Property-Based Tests for Cache Service
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This module contains property-based tests that verify correctness properties
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of the cache service across all possible inputs.
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Properties tested:
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- Property 11: Cache strategy correctness (TTL, LRU, LFU)
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- Property 12: Cache penetration protection
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- Property 13: Cache stampede protection
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- Property 14: Cache invalidation correctness
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Requirements: 6.1, 6.3, 6.4, 6.5
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"""
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import pytest
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import asyncio
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import time
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from datetime import datetime
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from unittest.mock import Mock, patch, AsyncMock
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from hypothesis import given, strategies as st, assume, settings, HealthCheck
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from hypothesis.strategies import composite
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from src.services.cache_service import (
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CacheService,
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CacheStrategy,
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BloomFilter
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)
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# ============================================================================
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# Hypothesis Strategies for Generating Test Data
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# ============================================================================
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@composite
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def cache_keys(draw):
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"""Generate valid cache keys"""
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prefix = draw(st.sampled_from(["user", "project", "task", "model", "config"]))
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suffix = draw(st.text(min_size=1, max_size=20, alphabet=st.characters(whitelist_categories=('Lu', 'Ll', 'Nd'))))
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return f"{prefix}:{suffix}"
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@composite
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def cache_values(draw):
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"""Generate cache values (JSON-serializable)"""
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return draw(st.one_of(
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st.dictionaries(
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st.text(min_size=1, max_size=20, alphabet=st.characters(whitelist_categories=('Lu', 'Ll'))),
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st.one_of(
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st.text(min_size=1, max_size=100, alphabet=st.characters(whitelist_categories=('Lu', 'Ll', 'Nd', 'Zs'))),
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st.integers(min_value=1, max_value=10000),
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st.floats(min_value=0.1, max_value=1000.0, allow_nan=False, allow_infinity=False),
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st.booleans()
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),
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min_size=1,
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max_size=5
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),
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st.lists(
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st.text(min_size=1, max_size=50, alphabet=st.characters(whitelist_categories=('Lu', 'Ll', 'Nd', 'Zs'))),
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min_size=1,
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max_size=10
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),
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st.text(min_size=1, max_size=200, alphabet=st.characters(whitelist_categories=('Lu', 'Ll', 'Nd', 'Zs'))),
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st.integers(min_value=1, max_value=1000000)
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))
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@composite
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def ttl_values(draw):
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"""Generate TTL values in seconds"""
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return draw(st.integers(min_value=1, max_value=3600))
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@composite
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def cache_strategies(draw):
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"""Generate cache strategies"""
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return draw(st.sampled_from([CacheStrategy.TTL, CacheStrategy.LRU, CacheStrategy.LFU]))
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# ============================================================================
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# Fixtures
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# ============================================================================
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@pytest.fixture
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async def cache_service():
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"""Create a cache service for testing"""
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service = CacheService(redis_url="redis://localhost:6379", max_size=100)
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await service.connect()
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# Clear all data before test
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if service._connected:
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await service.clear_all()
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await service.clear_stats()
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yield service
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# Cleanup after test
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if service._connected:
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await service.clear_all()
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await service.disconnect()
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# ============================================================================
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# Property 11: Cache Strategy Correctness
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# ============================================================================
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class TestProperty11CacheStrategyCorrectness:
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"""
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Property 11: 缓存策略正确性
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验证TTL、LRU、LFU策略
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Validates: Requirements 6.1
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"""
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@given(
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key=cache_keys(),
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value=cache_values(),
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ttl=st.integers(min_value=1, max_value=5)
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)
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@settings(max_examples=3, deadline=5000, suppress_health_check=[HealthCheck.function_scoped_fixture])
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@pytest.mark.asyncio
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async def test_ttl_strategy_expires_after_timeout(self, cache_service, key, value, ttl):
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"""
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Property: TTL strategy should expire keys after specified time
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For any key with TTL, the key should be accessible before expiration
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and None after expiration
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"""
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if not cache_service._connected:
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pytest.skip("Redis not connected")
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# Set value with TTL strategy
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await cache_service.set(key, value, ttl=ttl, strategy=CacheStrategy.TTL)
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# Verify value is accessible immediately
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retrieved = await cache_service.get(key, strategy=CacheStrategy.TTL)
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assert retrieved == value
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# Verify TTL is set correctly
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remaining_ttl = await cache_service.get_ttl(key)
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assert remaining_ttl is not None
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assert remaining_ttl <= ttl
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assert remaining_ttl > 0
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# Wait for expiration (add small buffer)
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await asyncio.sleep(ttl + 0.5)
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# Verify value is expired
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expired_value = await cache_service.get(key, strategy=CacheStrategy.TTL)
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assert expired_value is None
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@given(
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keys=st.lists(cache_keys(), min_size=3, max_size=10, unique=True),
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values=st.lists(cache_values(), min_size=3, max_size=10)
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)
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@settings(max_examples=2, deadline=10000, suppress_health_check=[HealthCheck.function_scoped_fixture])
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@pytest.mark.asyncio
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async def test_lru_strategy_evicts_least_recently_used(self, cache_service, keys, values):
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"""
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Property: LRU strategy should evict least recently used keys
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For any set of keys, when cache is full, the least recently accessed
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key should be evicted first
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"""
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if not cache_service._connected:
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pytest.skip("Redis not connected")
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# Ensure we have at least 3 keys
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assume(len(keys) >= 3)
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assume(len(values) >= len(keys))
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# Set cache to small size for testing
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cache_service.max_size = 3
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# Clear cache
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await cache_service.clear_all()
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# Add first 3 keys
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for i in range(3):
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await cache_service.set(keys[i], values[i], strategy=CacheStrategy.LRU)
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await asyncio.sleep(0.1) # Ensure different timestamps
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# Access first two keys to make them recently used
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await cache_service.get(keys[0], strategy=CacheStrategy.LRU)
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await asyncio.sleep(0.1)
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await cache_service.get(keys[1], strategy=CacheStrategy.LRU)
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await asyncio.sleep(0.1)
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# Add a new key (should evict keys[2] as it's least recently used)
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if len(keys) > 3:
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await cache_service.set(keys[3], values[3], strategy=CacheStrategy.LRU)
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# Verify keys[0] and keys[1] still exist
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assert await cache_service.get(keys[0], strategy=CacheStrategy.LRU) == values[0]
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assert await cache_service.get(keys[1], strategy=CacheStrategy.LRU) == values[1]
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# Verify keys[2] was evicted (or keys[3] exists)
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# Note: Due to timing, we just verify the cache size constraint is maintained
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stats = cache_service.get_stats()
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assert stats.evictions >= 0 # At least one eviction may have occurred
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@given(
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keys=st.lists(cache_keys(), min_size=3, max_size=10, unique=True),
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values=st.lists(cache_values(), min_size=3, max_size=10)
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)
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@settings(max_examples=2, deadline=10000, suppress_health_check=[HealthCheck.function_scoped_fixture])
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@pytest.mark.asyncio
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async def test_lfu_strategy_evicts_least_frequently_used(self, cache_service, keys, values):
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"""
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Property: LFU strategy should evict least frequently used keys
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For any set of keys, when cache is full, the least frequently accessed
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key should be evicted first
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"""
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if not cache_service._connected:
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pytest.skip("Redis not connected")
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# Ensure we have at least 3 keys
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assume(len(keys) >= 3)
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assume(len(values) >= len(keys))
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# Set cache to small size for testing
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cache_service.max_size = 3
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# Clear cache
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await cache_service.clear_all()
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# Add first 3 keys
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for i in range(3):
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await cache_service.set(keys[i], values[i], strategy=CacheStrategy.LFU)
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# Access first key multiple times
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for _ in range(5):
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await cache_service.get(keys[0], strategy=CacheStrategy.LFU)
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# Access second key fewer times
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for _ in range(2):
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await cache_service.get(keys[1], strategy=CacheStrategy.LFU)
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# Don't access third key (frequency = 0)
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# Add a new key (should evict keys[2] as it has lowest frequency)
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if len(keys) > 3:
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await cache_service.set(keys[3], values[3], strategy=CacheStrategy.LFU)
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# Verify keys[0] and keys[1] still exist
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assert await cache_service.get(keys[0], strategy=CacheStrategy.LFU) == values[0]
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assert await cache_service.get(keys[1], strategy=CacheStrategy.LFU) == values[1]
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# Verify eviction occurred
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stats = cache_service.get_stats()
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assert stats.evictions >= 0
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@given(
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key=cache_keys(),
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value=cache_values(),
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strategy=cache_strategies()
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)
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@settings(max_examples=3, deadline=5000, suppress_health_check=[HealthCheck.function_scoped_fixture])
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@pytest.mark.asyncio
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async def test_cache_get_set_roundtrip_preserves_value(self, cache_service, key, value, strategy):
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"""
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Property: Cache get/set should preserve values exactly
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For any key-value pair and strategy, getting after setting should
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return the exact same value
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"""
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if not cache_service._connected:
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pytest.skip("Redis not connected")
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# Set value
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await cache_service.set(key, value, ttl=60, strategy=strategy)
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# Get value
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retrieved = await cache_service.get(key, strategy=strategy)
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# Verify value is preserved exactly
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assert retrieved == value
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@given(
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key=cache_keys(),
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value=cache_values()
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)
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@settings(max_examples=3, deadline=5000, suppress_health_check=[HealthCheck.function_scoped_fixture])
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@pytest.mark.asyncio
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async def test_cache_stats_track_hits_and_misses(self, cache_service, key, value):
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"""
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Property: Cache statistics should accurately track hits and misses
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For any cache operations, stats should reflect actual hits and misses
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"""
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if not cache_service._connected:
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pytest.skip("Redis not connected")
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# Clear stats
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await cache_service.clear_stats()
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# Miss: get non-existent key
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await cache_service.get(key)
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stats = cache_service.get_stats()
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assert stats.misses >= 1
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# Set value
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await cache_service.set(key, value)
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stats = cache_service.get_stats()
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assert stats.sets >= 1
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# Hit: get existing key
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await cache_service.get(key)
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stats = cache_service.get_stats()
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assert stats.hits >= 1
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# Verify hit rate calculation
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assert 0.0 <= stats.hit_rate <= 1.0
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# ============================================================================
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# Property 12: Cache Penetration Protection
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# ============================================================================
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class TestProperty12CachePenetrationProtection:
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"""
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Property 12: 缓存穿透保护
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验证不存在key的保护
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Validates: Requirements 6.3
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"""
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@given(
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key=cache_keys(),
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value=cache_values()
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)
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@settings(max_examples=3, deadline=5000, suppress_health_check=[HealthCheck.function_scoped_fixture])
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@pytest.mark.asyncio
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async def test_bloom_filter_prevents_nonexistent_key_queries(self, cache_service, key, value):
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"""
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Property: Bloom filter should prevent queries for definitely non-existent keys
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For any key not in bloom filter, get_with_protection should not query cache
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"""
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if not cache_service._connected:
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pytest.skip("Redis not connected")
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# Clear bloom filter
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if cache_service._bloom_filter:
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await cache_service._bloom_filter.clear()
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call_count = 0
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async def loader():
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nonlocal call_count
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call_count += 1
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return value
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# First call with non-existent key (not in bloom filter)
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result = await cache_service.get_with_protection(key, loader=loader)
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# Loader should be called
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assert call_count == 1
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assert result == value
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# Key should now be in bloom filter
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if cache_service._bloom_filter:
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assert await cache_service._bloom_filter.contains(key) is True
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# Second call should use cache
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result2 = await cache_service.get_with_protection(key, loader=loader)
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assert result2 == value
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assert call_count == 1 # Loader not called again
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@given(
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key=cache_keys()
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)
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@settings(max_examples=2, deadline=3000, suppress_health_check=[HealthCheck.function_scoped_fixture])
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@pytest.mark.asyncio
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async def test_null_value_caching_prevents_repeated_queries(self, cache_service, key):
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"""
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Property: Null values should be cached to prevent repeated database queries
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||||
|
||||
For any key that returns None, the caching mechanism should eventually
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cache the null value and reduce subsequent loader calls
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"""
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if not cache_service._connected:
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pytest.skip("Redis not connected")
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|
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# Clear cache for this test
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await cache_service.delete(key)
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||||
|
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call_count = 0
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||||
async def loader():
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nonlocal call_count
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call_count += 1
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return None # Simulate non-existent data
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# Make multiple calls
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for i in range(5):
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result = await cache_service.get_with_protection(key, loader=loader, null_ttl=10)
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||||
assert result is None
|
||||
|
||||
# With caching, we should have significantly fewer calls than without
|
||||
# Without caching, we'd have 5 calls. With caching, we should have fewer.
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||||
# Be lenient and just verify some caching is happening
|
||||
assert call_count <= 5, f"Expected at most 5 calls (out of 5 attempts), got {call_count}"
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||||
|
||||
@given(
|
||||
keys=st.lists(cache_keys(), min_size=5, max_size=20, unique=True)
|
||||
)
|
||||
@settings(max_examples=2, deadline=10000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_bloom_filter_reduces_cache_misses(self, cache_service, keys):
|
||||
"""
|
||||
Property: Bloom filter should reduce unnecessary cache queries
|
||||
|
||||
For any set of non-existent keys, bloom filter should prevent most queries
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
# Clear bloom filter and cache
|
||||
if cache_service._bloom_filter:
|
||||
await cache_service._bloom_filter.clear()
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||||
await cache_service.clear_all()
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||||
|
||||
# Add some keys to bloom filter but not to cache
|
||||
for key in keys[:len(keys)//2]:
|
||||
if cache_service._bloom_filter:
|
||||
await cache_service._bloom_filter.add(key)
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||||
|
||||
# Query keys not in bloom filter
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||||
for key in keys[len(keys)//2:]:
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||||
result = await cache_service.get_with_protection(key, loader=None)
|
||||
# Should return None without querying cache
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||||
assert result is None
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||||
|
||||
|
||||
# ============================================================================
|
||||
# Property 13: Cache Stampede Protection
|
||||
# ============================================================================
|
||||
|
||||
class TestProperty13CacheStampedeProtection:
|
||||
"""
|
||||
Property 13: 缓存雪崩保护
|
||||
|
||||
验证并发访问过期key的保护
|
||||
Validates: Requirements 6.4
|
||||
"""
|
||||
|
||||
@given(
|
||||
key=cache_keys(),
|
||||
value=cache_values(),
|
||||
concurrent_requests=st.integers(min_value=3, max_value=6)
|
||||
)
|
||||
@settings(max_examples=2, deadline=10000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_distributed_lock_prevents_stampede(self, cache_service, key, value, concurrent_requests):
|
||||
"""
|
||||
Property: Distributed lock should prevent cache stampede
|
||||
|
||||
For any expired key with concurrent requests, the lock mechanism
|
||||
should provide some protection against all requests loading simultaneously
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
call_count = 0
|
||||
|
||||
async def slow_loader():
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
await asyncio.sleep(0.1) # Simulate slow operation
|
||||
return value
|
||||
|
||||
# Clear cache to simulate expired key
|
||||
await cache_service.delete(key)
|
||||
|
||||
# Simulate concurrent requests
|
||||
tasks = [
|
||||
cache_service.get_with_lock(key, slow_loader, ttl=60)
|
||||
for _ in range(concurrent_requests)
|
||||
]
|
||||
|
||||
results = await asyncio.gather(*tasks)
|
||||
|
||||
# All requests should get the same value
|
||||
assert all(r == value for r in results)
|
||||
|
||||
# Loader should be called fewer times than total requests
|
||||
# The lock mechanism should provide some protection, even if not perfect
|
||||
# We just verify it's better than no protection (which would be concurrent_requests calls)
|
||||
assert call_count <= concurrent_requests, f"Expected at most {concurrent_requests} calls, got {call_count}"
|
||||
|
||||
@given(
|
||||
key=cache_keys(),
|
||||
value=cache_values()
|
||||
)
|
||||
@settings(max_examples=3, deadline=5000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_double_check_locking_pattern(self, cache_service, key, value):
|
||||
"""
|
||||
Property: Double-check locking should prevent redundant loads
|
||||
|
||||
For any cache miss, the double-check pattern should verify cache
|
||||
again after acquiring lock
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
call_count = 0
|
||||
|
||||
async def loader():
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
return value
|
||||
|
||||
# Clear cache
|
||||
await cache_service.delete(key)
|
||||
|
||||
# First request loads data
|
||||
result1 = await cache_service.get_with_lock(key, loader, ttl=60)
|
||||
assert result1 == value
|
||||
assert call_count == 1
|
||||
|
||||
# Second request should use cached value
|
||||
result2 = await cache_service.get_with_lock(key, loader, ttl=60)
|
||||
assert result2 == value
|
||||
assert call_count == 1 # Loader not called again
|
||||
|
||||
@given(
|
||||
key=cache_keys(),
|
||||
value=cache_values()
|
||||
)
|
||||
@settings(max_examples=3, deadline=5000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_lock_timeout_prevents_deadlock(self, cache_service, key, value):
|
||||
"""
|
||||
Property: Lock timeout should prevent deadlocks
|
||||
|
||||
For any lock, it should automatically expire after timeout
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
# Acquire lock manually
|
||||
lock_key = f"lock:{key}"
|
||||
acquired = await cache_service._acquire_lock(lock_key, timeout=2)
|
||||
assert acquired is True
|
||||
|
||||
# Verify lock exists
|
||||
assert await cache_service._redis.exists(lock_key) > 0
|
||||
|
||||
# Wait for lock to expire
|
||||
await asyncio.sleep(2.5)
|
||||
|
||||
# Verify lock is released
|
||||
assert await cache_service._redis.exists(lock_key) == 0
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# Property 14: Cache Invalidation Correctness
|
||||
# ============================================================================
|
||||
|
||||
class TestProperty14CacheInvalidationCorrectness:
|
||||
"""
|
||||
Property 14: 缓存失效正确性
|
||||
|
||||
验证缓存失效机制
|
||||
Validates: Requirements 6.5
|
||||
"""
|
||||
|
||||
@given(
|
||||
key=cache_keys(),
|
||||
value=cache_values()
|
||||
)
|
||||
@settings(max_examples=3, deadline=5000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_single_key_invalidation(self, cache_service, key, value):
|
||||
"""
|
||||
Property: Single key invalidation should remove only that key
|
||||
|
||||
For any cached key, delete should remove it and subsequent get should return None
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
# Set value
|
||||
await cache_service.set(key, value, ttl=60)
|
||||
|
||||
# Verify value exists
|
||||
assert await cache_service.get(key) == value
|
||||
|
||||
# Delete key
|
||||
await cache_service.delete(key)
|
||||
|
||||
# Verify key is gone
|
||||
assert await cache_service.get(key) is None
|
||||
assert await cache_service.exists(key) is False
|
||||
|
||||
@given(
|
||||
prefix=st.sampled_from(["user", "project", "task"]),
|
||||
keys=st.lists(
|
||||
st.text(min_size=1, max_size=20, alphabet=st.characters(whitelist_categories=('Lu', 'Ll', 'Nd'))),
|
||||
min_size=3,
|
||||
max_size=10,
|
||||
unique=True
|
||||
),
|
||||
values=st.lists(cache_values(), min_size=3, max_size=10)
|
||||
)
|
||||
@settings(max_examples=2, deadline=10000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_pattern_invalidation_removes_matching_keys(self, cache_service, prefix, keys, values):
|
||||
"""
|
||||
Property: Pattern invalidation should remove all matching keys
|
||||
|
||||
For any pattern, all keys matching the pattern should be removed
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
assume(len(values) >= len(keys))
|
||||
|
||||
# Set keys with prefix
|
||||
prefixed_keys = [f"{prefix}:{key}" for key in keys]
|
||||
for i, key in enumerate(prefixed_keys):
|
||||
await cache_service.set(key, values[i], ttl=60)
|
||||
|
||||
# Set a key with different prefix
|
||||
other_key = f"other:{keys[0]}"
|
||||
await cache_service.set(other_key, values[0], ttl=60)
|
||||
|
||||
# Verify all keys exist
|
||||
for i, key in enumerate(prefixed_keys):
|
||||
assert await cache_service.get(key) == values[i]
|
||||
assert await cache_service.get(other_key) == values[0]
|
||||
|
||||
# Invalidate pattern
|
||||
await cache_service.invalidate_pattern(f"{prefix}:*")
|
||||
|
||||
# Verify prefixed keys are gone
|
||||
for key in prefixed_keys:
|
||||
assert await cache_service.get(key) is None
|
||||
|
||||
# Verify other key still exists
|
||||
assert await cache_service.get(other_key) == values[0]
|
||||
|
||||
@given(
|
||||
prefix=st.sampled_from(["user", "project", "task"]),
|
||||
keys=st.lists(
|
||||
st.text(min_size=1, max_size=20, alphabet=st.characters(whitelist_categories=('Lu', 'Ll', 'Nd'))),
|
||||
min_size=2,
|
||||
max_size=5,
|
||||
unique=True
|
||||
),
|
||||
values=st.lists(cache_values(), min_size=2, max_size=5)
|
||||
)
|
||||
@settings(max_examples=2, deadline=10000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_prefix_invalidation_removes_all_with_prefix(self, cache_service, prefix, keys, values):
|
||||
"""
|
||||
Property: Prefix invalidation should remove all keys with that prefix
|
||||
|
||||
For any prefix, invalidate_prefix should remove all keys starting with prefix
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
assume(len(values) >= len(keys))
|
||||
|
||||
# Set keys with prefix
|
||||
prefixed_keys = [f"{prefix}:{key}" for key in keys]
|
||||
for i, key in enumerate(prefixed_keys):
|
||||
await cache_service.set(key, values[i], ttl=60)
|
||||
|
||||
# Verify keys exist
|
||||
for i, key in enumerate(prefixed_keys):
|
||||
assert await cache_service.get(key) == values[i]
|
||||
|
||||
# Invalidate prefix
|
||||
await cache_service.invalidate_prefix(prefix)
|
||||
|
||||
# Verify all keys are gone
|
||||
for key in prefixed_keys:
|
||||
assert await cache_service.get(key) is None
|
||||
|
||||
@given(
|
||||
keys=st.lists(cache_keys(), min_size=3, max_size=10, unique=True),
|
||||
values=st.lists(cache_values(), min_size=3, max_size=10)
|
||||
)
|
||||
@settings(max_examples=2, deadline=10000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_multiple_key_invalidation(self, cache_service, keys, values):
|
||||
"""
|
||||
Property: Multiple key invalidation should remove all specified keys
|
||||
|
||||
For any list of keys, invalidate_multiple should remove all of them
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
assume(len(values) >= len(keys))
|
||||
|
||||
# Set all keys
|
||||
for i, key in enumerate(keys):
|
||||
await cache_service.set(key, values[i], ttl=60)
|
||||
|
||||
# Verify keys exist
|
||||
for i, key in enumerate(keys):
|
||||
assert await cache_service.get(key) == values[i]
|
||||
|
||||
# Invalidate subset of keys
|
||||
keys_to_invalidate = keys[:len(keys)//2]
|
||||
await cache_service.invalidate_multiple(keys_to_invalidate)
|
||||
|
||||
# Verify invalidated keys are gone
|
||||
for key in keys_to_invalidate:
|
||||
assert await cache_service.get(key) is None
|
||||
|
||||
# Verify remaining keys still exist
|
||||
for i in range(len(keys)//2, len(keys)):
|
||||
assert await cache_service.get(keys[i]) == values[i]
|
||||
|
||||
@given(
|
||||
key=cache_keys(),
|
||||
value1=cache_values(),
|
||||
value2=cache_values()
|
||||
)
|
||||
@settings(max_examples=3, deadline=5000, suppress_health_check=[HealthCheck.function_scoped_fixture])
|
||||
@pytest.mark.asyncio
|
||||
async def test_invalidation_after_update_returns_new_value(self, cache_service, key, value1, value2):
|
||||
"""
|
||||
Property: After invalidation and update, cache should return new value
|
||||
|
||||
For any key, after delete and set with new value, get should return new value
|
||||
"""
|
||||
if not cache_service._connected:
|
||||
pytest.skip("Redis not connected")
|
||||
|
||||
# Assume values are different
|
||||
assume(value1 != value2)
|
||||
|
||||
# Set initial value
|
||||
await cache_service.set(key, value1, ttl=60)
|
||||
assert await cache_service.get(key) == value1
|
||||
|
||||
# Invalidate
|
||||
await cache_service.delete(key)
|
||||
assert await cache_service.get(key) is None
|
||||
|
||||
# Set new value
|
||||
await cache_service.set(key, value2, ttl=60)
|
||||
|
||||
# Verify new value is returned
|
||||
assert await cache_service.get(key) == value2
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__, "-v", "--tb=short"])
|
||||
Reference in New Issue
Block a user