mirror of
https://github.com/semantica-agi/semantica.git
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- Implemented ML/LLM -> Pattern -> Last Resort fallback chains for NER, Relation, and Triplet extractors to prevent empty results. - Added provenance metadata (batch_index, document_id) to all extraction schemas (Entity, Relation, Triplet, etc.). - Unified batch processing API with progress tracking across all extractors. - Updated documentation (module usage and reference docs) to reflect new features. - Added robustness and batch provenance tests.
152 lines
5.9 KiB
Python
152 lines
5.9 KiB
Python
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import pytest
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import sys
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from semantica.semantic_extract.ner_extractor import NERExtractor, Entity
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from semantica.semantic_extract.relation_extractor import RelationExtractor, Relation
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from semantica.semantic_extract.triplet_extractor import TripletExtractor
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class TestRobustnessFallback:
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def test_ner_last_resort_fallback(self):
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"""Test that NER extractor finds entities even in obscure text via last resort."""
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extractor = NERExtractor()
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# Text with single capitalized word that shouldn't match PERSON pattern (requires 2+ words)
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text = "Zylophone"
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entities = extractor.extract_entities(text)
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assert len(entities) > 0, "Should have extracted at least one entity via last resort"
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# Check if they are the capitalized words
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texts = [e.text for e in entities]
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assert "Zylophone" in texts
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# Verify metadata
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for e in entities:
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assert e.metadata is not None
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assert "extraction_method" in e.metadata
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# Should be last_resort_pattern
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assert e.metadata["extraction_method"] == "last_resort_pattern"
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def test_relation_last_resort_fallback(self):
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"""Test that Relation extractor creates adjacency relations when no patterns match."""
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extractor = RelationExtractor()
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# Create entities far apart to avoid "co_occurrence" fallback which triggers < 100 chars
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padding = " " * 105
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text = f"Alpha{padding}Beta{padding}Gamma"
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# Alpha at start
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e1_start = 0
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e1_end = 5
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# Beta after padding
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e2_start = e1_end + 105
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e2_end = e2_start + 4
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# Gamma after padding
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e3_start = e2_end + 105
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e3_end = e3_start + 5
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e1 = Entity(text="Alpha", label="UNKNOWN", start_char=e1_start, end_char=e1_end)
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e2 = Entity(text="Beta", label="UNKNOWN", start_char=e2_start, end_char=e2_end)
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e3 = Entity(text="Gamma", label="UNKNOWN", start_char=e3_start, end_char=e3_end)
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entities = [e1, e2, e3]
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# This text has no "is a", "works for", etc. patterns.
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# And entities are too far for co-occurrence (< 100).
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# It should trigger the last resort adjacency fallback.
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relations = extractor.extract_relations(text, entities)
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assert len(relations) > 0, "Should have extracted relations via last resort"
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# Expect relations between adjacent entities: Alpha->Beta, Beta->Gamma
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pairs = [(r.subject.text, r.object.text) for r in relations]
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assert ("Alpha", "Beta") in pairs
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assert ("Beta", "Gamma") in pairs
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# Verify metadata
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for r in relations:
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assert r.metadata is not None
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assert "extraction_method" in r.metadata
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assert r.metadata.get("extraction_method") == "last_resort_adjacency"
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def test_triplet_fallback_conversion(self):
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"""Test that Triplet extractor falls back to converting relations if extraction fails."""
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# Setup mocks or use real classes
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ner = NERExtractor() # We'll just pass entities directly
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rel_extractor = RelationExtractor()
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triplet_extractor = TripletExtractor()
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text = "Alpha is connected to Beta."
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e1 = Entity(text="Alpha", label="Thing", start_char=0, end_char=5)
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e2 = Entity(text="Beta", label="Thing", start_char=22, end_char=26)
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entities = [e1, e2]
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# Create a relation manually to ensure we have one to convert
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relation = Relation(
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subject=e1,
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predicate="connected_to",
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object=e2,
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confidence=0.9,
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context=text
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)
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# We want to test the fallback in extract_triplets.
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# Since we can't easily force the primary triplet method to return empty without mocking,
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# we can pass the relations explicitly and rely on the fact that standard triplet extraction
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# might not support "connected_to" if it relies on strict patterns, or we can use a method that fails.
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# However, the triplet extractor calls relation extractor internally if not provided.
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# Let's test the flow where we provide relations.
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triplets = triplet_extractor.extract_triplets(text, entities=entities, relations=[relation])
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assert len(triplets) > 0
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assert triplets[0].subject == "Alpha"
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assert triplets[0].object == "Beta"
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assert triplets[0].predicate == "connected_to"
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def test_batch_metadata_propagation(self):
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"""Verify batch_index and document_id are propagated in batch mode with fallbacks."""
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ner = NERExtractor()
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docs = [
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{"content": "First doc", "id": "doc_1"},
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{"content": "Second doc", "id": "doc_2"}
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]
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# These docs are simple, might trigger fallback or simple patterns
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results = ner.extract(docs)
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assert len(results) == 2
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# Check first doc results
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for e in results[0]:
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assert e.metadata["batch_index"] == 0
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assert e.metadata["document_id"] == "doc_1"
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# Check second doc results
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for e in results[1]:
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assert e.metadata["batch_index"] == 1
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assert e.metadata["document_id"] == "doc_2"
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if __name__ == "__main__":
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# Manually run if executed as script
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t = TestRobustnessFallback()
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try:
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t.test_ner_last_resort_fallback()
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print("NER Fallback Test Passed")
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t.test_relation_last_resort_fallback()
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print("Relation Fallback Test Passed")
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t.test_triplet_fallback_conversion()
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print("Triplet Fallback Test Passed")
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t.test_batch_metadata_propagation()
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print("Batch Metadata Test Passed")
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except Exception as e:
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print(f"Test Failed: {e}")
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import traceback
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traceback.print_exc()
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