mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-21 21:22:11 -03:00
Skip performance tests by default
- Add 'performance' marker to pytest.ini - Add pytestmark to test_cache_performance.py - Use -m 'not performance' by default in addopts - Allows manual execution with 'pytest -m performance'
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@@ -14,12 +14,17 @@ from py.services.model_hash_index import ModelHashIndex
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from py.utils.utils import fuzzy_match, calculate_recipe_fingerprint
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pytestmark = pytest.mark.performance
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class TestHashIndexPerformance:
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"""Performance benchmarks for hash index operations."""
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def test_hash_index_lookup_small(self, benchmark):
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"""Benchmark hash index lookup with 100 models."""
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index, target_hash = self._create_hash_index_with_n_models(100, return_target=True)
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index, target_hash = self._create_hash_index_with_n_models(
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100, return_target=True
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)
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def lookup():
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return index.get_path(target_hash)
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@@ -29,7 +34,9 @@ class TestHashIndexPerformance:
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def test_hash_index_lookup_medium(self, benchmark):
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"""Benchmark hash index lookup with 1,000 models."""
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index, target_hash = self._create_hash_index_with_n_models(1000, return_target=True)
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index, target_hash = self._create_hash_index_with_n_models(
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1000, return_target=True
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)
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def lookup():
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return index.get_path(target_hash)
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@@ -39,7 +46,9 @@ class TestHashIndexPerformance:
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def test_hash_index_lookup_large(self, benchmark):
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"""Benchmark hash index lookup with 10,000 models."""
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index, target_hash = self._create_hash_index_with_n_models(10000, return_target=True)
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index, target_hash = self._create_hash_index_with_n_models(
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10000, return_target=True
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)
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def lookup():
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return index.get_path(target_hash)
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@@ -71,11 +80,11 @@ class TestHashIndexPerformance:
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def _create_hash_index_with_n_models(self, n: int, return_target: bool = False):
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"""Create a hash index with n mock models.
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Args:
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n: Number of models to create
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return_target: If True, returns the hash of the middle model for lookup testing
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Returns:
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ModelHashIndex or tuple of (ModelHashIndex, target_hash)
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"""
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@@ -94,7 +103,7 @@ class TestHashIndexPerformance:
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def _random_string(self, length: int) -> str:
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"""Generate a random string of fixed length."""
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return ''.join(random.choices(string.ascii_lowercase + string.digits, k=length))
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return "".join(random.choices(string.ascii_lowercase + string.digits, k=length))
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class TestFuzzyMatchPerformance:
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