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| import pytest | |
| from app.shared.nlp.embeddings.weighted_document import build_weighted_document | |
| def test_build_weighted_document_repeats_each_field_by_weight() -> None: | |
| document = build_weighted_document( | |
| [ | |
| ("nombre", 1), | |
| ("categoria", 4), | |
| ("descripcion", 3), | |
| ("tag", 6), | |
| ] | |
| ) | |
| assert document.split().count("nombre") == 1 | |
| assert document.split().count("categoria") == 4 | |
| assert document.split().count("descripcion") == 3 | |
| assert document.split().count("tag") == 6 | |
| def test_build_weighted_document_rejects_nonpositive_weights() -> None: | |
| with pytest.raises(ValueError, match="positive"): | |
| build_weighted_document([("texto", 0)]) | |