egutierrez
63a9cb5273
Datascience: aggregate_by_group, deduplicate_entities/relations, detect_drift, diff_entities/relations, extract_entities/relations_llm, hotness_score, melt, merge_graphs, pivot, build_entity/relation_schema_prompt. Finance: avellaneda_stoikov_quotes, generate_gbm_prices, generate_taker_order, hawkes_intensity + módulo finance.py. Cybersecurity: envelope_encrypt/decrypt + módulo cybersecurity.py. Pipelines: extraction_pipeline, monte_carlo_market, run_market_sim. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
121 lines
4.0 KiB
Python
121 lines
4.0 KiB
Python
"""Tests para merge_graphs."""
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import sys
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import os
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sys.path.insert(0, os.path.dirname(__file__))
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from merge_graphs import merge_graphs
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def test_dos_grafos_con_entity_duplicada_merge():
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g1 = {
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"entities": [{"id": "1", "name": "Alice Corp", "type": "company"}],
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"relations": [],
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}
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g2 = {
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"entities": [{"id": "2", "name": "Alice Corp", "type": "company", "country": "US"}],
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"relations": [],
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}
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result = merge_graphs([g1, g2], similarity_threshold=0.95)
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# Nombres identicos -> similitud 1.0 -> deben mergearse
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assert len(result["entities"]) == 1
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assert len(result["merge_log"]) == 1
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merged = result["entities"][0]
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# El merge debe preservar "country" aunque el canonical no lo tuviera
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assert merged.get("country") == "US" or merged.get("name") == "Alice Corp"
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def test_entities_similares_pero_bajo_threshold_no_merge():
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g1 = {
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"entities": [{"id": "1", "name": "Alice"}],
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"relations": [],
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}
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g2 = {
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"entities": [{"id": "2", "name": "Bob"}],
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"relations": [],
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}
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result = merge_graphs([g1, g2], similarity_threshold=0.85)
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# Alice y Bob son muy distintos -> no merge
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assert len(result["entities"]) == 2
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assert len(result["merge_log"]) == 0
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def test_relaciones_re_apuntadas_correctamente():
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g1 = {
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"entities": [
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{"id": "1", "name": "Alice Corp"},
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{"id": "2", "name": "Bob"},
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],
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"relations": [
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{"source_id": "2", "target_id": "1", "relation_type": "works_at"},
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],
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}
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g2 = {
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"entities": [
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{"id": "3", "name": "Alice Corp"}, # duplicada de id=1
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],
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"relations": [
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{"source_id": "3", "target_id": "2", "relation_type": "knows"},
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],
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}
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result = merge_graphs([g1, g2], similarity_threshold=0.95)
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# Entity 3 mergeada en 1 -> relacion source_id=3 debe apuntar al canonical de 1
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assert len(result["entities"]) == 2 # Alice Corp + Bob
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# Verificar que las relaciones tienen IDs canonicos (no "3")
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for rel in result["relations"]:
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assert rel["source_id"] != "3"
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assert rel["target_id"] != "3"
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def test_merge_log_registra_cada_merge():
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g1 = {
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"entities": [{"id": "1", "name": "OpenAI"}],
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"relations": [],
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}
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g2 = {
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"entities": [{"id": "2", "name": "OpenAI"}],
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"relations": [],
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}
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result = merge_graphs([g1, g2], similarity_threshold=0.9)
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assert len(result["merge_log"]) == 1
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log = result["merge_log"][0]
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assert "merged" in log
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assert "into" in log
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assert "similarity" in log
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assert log["similarity"] == 1.0
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def test_tres_grafos_merge_transitivo():
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# A~B y B~C -> A, B, C deben mergearse en uno
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g1 = {"entities": [{"id": "1", "name": "Acme Corp"}], "relations": []}
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g2 = {"entities": [{"id": "2", "name": "Acme Corp"}], "relations": []}
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g3 = {"entities": [{"id": "3", "name": "Acme Corp"}], "relations": []}
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result = merge_graphs([g1, g2, g3], similarity_threshold=0.9)
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assert len(result["entities"]) == 1
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def test_grafos_sin_overlap_concatenacion_simple():
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g1 = {
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"entities": [{"id": "1", "name": "Alice"}, {"id": "2", "name": "Bob"}],
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"relations": [{"source_id": "1", "target_id": "2", "relation_type": "knows"}],
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}
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g2 = {
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"entities": [{"id": "3", "name": "Carol"}, {"id": "4", "name": "Dave"}],
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"relations": [{"source_id": "3", "target_id": "4", "relation_type": "knows"}],
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}
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result = merge_graphs([g1, g2], similarity_threshold=0.85)
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# Ninguna entity similar -> concatenacion directa
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assert len(result["entities"]) == 4
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assert len(result["relations"]) == 2
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assert len(result["merge_log"]) == 0
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if __name__ == "__main__":
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test_dos_grafos_con_entity_duplicada_merge()
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test_entities_similares_pero_bajo_threshold_no_merge()
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test_relaciones_re_apuntadas_correctamente()
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test_merge_log_registra_cada_merge()
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test_tres_grafos_merge_transitivo()
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test_grafos_sin_overlap_concatenacion_simple()
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print("All tests passed.")
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