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* refactor: ignore cached exceptions * test * pre commit * commented out exception tests
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,108 @@ | ||
| import time | ||
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| import pytest | ||
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| from deche import Cache | ||
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| @pytest.fixture | ||
| def memory_cache(): | ||
| return Cache(fs_protocol="memory", prefix="/") | ||
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| def test_exception_not_cached(memory_cache): | ||
| @memory_cache | ||
| def failing_func(): | ||
| time.sleep(0.1) | ||
| raise ValueError("This function always fails") | ||
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| # First call should raise the exception | ||
| start_time = time.time() | ||
| with pytest.raises(ValueError): | ||
| failing_func() | ||
| first_call_time = time.time() - start_time | ||
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| # Second call should also raise the exception, not return a cached exception | ||
| start_time = time.time() | ||
| with pytest.raises(ValueError): | ||
| failing_func() | ||
| second_call_time = time.time() - start_time | ||
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| assert failing_func.list_cached_data() == [] | ||
| assert abs(first_call_time - second_call_time) < 0.05 # Both calls should take similar time | ||
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| def test_successful_execution_after_exception(memory_cache): | ||
| call_count = 0 | ||
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| @memory_cache | ||
| def sometimes_failing_func(fail=True): | ||
| nonlocal call_count | ||
| call_count += 1 | ||
| time.sleep(0.1) | ||
| if fail: | ||
| raise ValueError("This function fails when fail=True") | ||
| return "Success" | ||
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| # First call should raise the exception | ||
| start_time = time.time() | ||
| with pytest.raises(ValueError): | ||
| sometimes_failing_func(fail=True) | ||
| exception_time = time.time() - start_time | ||
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| # Second call with fail=False should execute the function and cache the result | ||
| start_time = time.time() | ||
| result = sometimes_failing_func(fail=False) | ||
| success_time = time.time() - start_time | ||
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| assert result == "Success" | ||
| assert call_count == 2 | ||
| assert exception_time > 0.1 | ||
| assert success_time > 0.1 | ||
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| # Third call with fail=False should return the cached result | ||
| start_time = time.time() | ||
| result = sometimes_failing_func(fail=False) | ||
| cached_time = time.time() - start_time | ||
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| assert result == "Success" | ||
| assert call_count == 2 # Call count shouldn't increase | ||
| assert cached_time < 0.01 # Cached call should be very fast | ||
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| def test_cache_behavior_unchanged_for_successful_calls(memory_cache): | ||
| call_count = 0 | ||
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| @memory_cache | ||
| def cached_func(x): | ||
| nonlocal call_count | ||
| call_count += 1 | ||
| time.sleep(0.1) | ||
| return x * 2 | ||
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| # First call should execute the function | ||
| start_time = time.time() | ||
| result = cached_func(5) | ||
| first_call_time = time.time() - start_time | ||
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| assert result == 10 | ||
| assert call_count == 1 | ||
| assert first_call_time > 0.1 | ||
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| # Second call should return cached result | ||
| start_time = time.time() | ||
| result = cached_func(5) | ||
| second_call_time = time.time() - start_time | ||
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| assert result == 10 | ||
| assert call_count == 1 # Call count shouldn't increase | ||
| assert second_call_time < 0.01 # Cached call should be very fast | ||
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| # Call with different argument should execute the function again | ||
| start_time = time.time() | ||
| result = cached_func(7) | ||
| third_call_time = time.time() - start_time | ||
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| assert result == 14 | ||
| assert call_count == 2 | ||
| assert third_call_time > 0.1 |