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hub / github.com/LLMQuant/quant-mind / PaperKnowledgeCardTests

Class PaperKnowledgeCardTests

tests/knowledge/test_paper.py:66–105  ·  view source on GitHub ↗

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64 self.assertEqual(original.chunk_set.id, new_summary.chunk_set.id)
65 self.assertNotEqual(
66 original.global_summary.id, new_summary.global_summary.id
67 )
68
69 def test_canonical_models_have_no_embedding_vectors_or_text_method(
70 self,
71 ) -> None:
72 result = build_paper_result()
73
74 for value in (
75 result.source_revision,
76 result.chunk_set,
77 result.global_summary,
78 *result.chunk_set.chunks,
79 ):
80 self.assertNotIn("embedding", value.model_dump())
81 self.assertFalse(hasattr(value, "embedding_text"))
82
83 def test_source_json_excludes_blobs_but_preserves_manifest(self) -> None:
84 source = build_paper_result().source_revision
85 revived = PaperSourceRevision.model_validate_json(
86 source.model_dump_json()
87 )
88
89 self.assertEqual(revived.id, source.id)
90 self.assertEqual(revived.parsed, source.parsed)
91 self.assertEqual(revived.blobs, {})
92 with self.assertRaisesRegex(RuntimeError, "bytes are not loaded"):
93 revived.blob_for(revived.raw_asset_id)
94
95 def test_result_rejects_unknown_model_owned_citation_identity(self) -> None:
96 result = build_paper_result()
97 citation = result.global_summary.citations[0]
98 invalid = PaperCitation(
99 chunk_set_id=result.chunk_set.id,
100 chunk_id=uuid4(),
101 page_number=citation.page_number,
102 )
103 invalid_citations = (
104 invalid,
105 *result.global_summary.citations[1:],
106 )
107 summary = result.global_summary.model_copy(
108 update={

Callers

nothing calls this directly

Calls

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Tested by

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