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85 lines
2.2 KiB
Python
85 lines
2.2 KiB
Python
from unittest.mock import MagicMock, patch
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import pytest
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from semantica.deduplication.merge_strategy import MergeStrategy, MergeStrategyManager
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# Fixtures
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@pytest.fixture
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def conflict_manager():
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"""Returns a MergeStrategyManager with default settings."""
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return MergeStrategyManager()
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@pytest.fixture
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def conflicting_entities_batch():
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"""
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Generates a list of 100 entities that are all 'duplicates' of each other
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but have conflicting property values. This forces the resolution logic to run hard.
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"""
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entities = []
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for i in range(100):
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entities.append(
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{
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"id": "e_1",
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"name": f"Entity Name {i}",
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"type": "Person",
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"confidence": 0.5 + (i * 0.005),
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"properties": {
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"age": 20 + i,
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"email": f"user{i}@example.com",
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"status": "active" if i % 2 == 0 else "inactive",
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},
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"relationships": [
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{"source": "e_1", "target": f"other_{i}", "type": "knows"}
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],
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}
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)
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return entities
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# Benchmarks
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def test_strategy_keep_highest_confidence(
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benchmark, conflict_manager, conflicting_entities_batch
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):
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"""
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Benchmarks 'KEEP_HIGHEST_CONFIDENCE'.
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"""
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def op():
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return conflict_manager.merge_entities(
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conflicting_entities_batch, strategy=MergeStrategy.KEEP_HIGHEST_CONFIDENCE
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)
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benchmark.pedantic(op, iterations=10, rounds=10)
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def test_strategy_merge_all(benchmark, conflict_manager, conflicting_entities_batch):
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"""
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Benchmarks 'MERGE_ALL'.
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"""
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def op():
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return conflict_manager.merge_entities(
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conflicting_entities_batch, strategy=MergeStrategy.MERGE_ALL
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)
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benchmark.pedantic(op, iterations=10, rounds=10)
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def test_property_resolution_overhead(benchmark, conflict_manager):
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"""
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Micro-benchmark for the inner _resolve_property_conflict logic.
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"""
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def op():
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return conflict_manager._resolve_property_conflict(
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"age", 25, 30, MergeStrategy.KEEP_MOST_COMPLETE
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)
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benchmark.pedantic(op, iterations=1000, rounds=20)
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