Squash Odysseus development history

tests/test_clawmm_r44_short_title.py

@@ -0,0 +1,54 @@
+from services.search import core
+
+
+def test_short_distinctive_paper_name_uses_exact_metadata_before_providers(
+    monkeypatch,
+    tmp_path,
+):
+    provider_calls = []
+    monkeypatch.setattr(core, "SEARCH_CACHE_DIR", tmp_path)
+    monkeypatch.setattr(core, "search_cache_index", {})
+    monkeypatch.setattr(core, "_record_query", lambda *args, **kwargs: None)
+    monkeypatch.setattr(
+        core,
+        "_get_search_settings",
+        lambda: {"search_provider": "searxng", "search_fallback_chain": []},
+    )
+    monkeypatch.setattr(core, "_build_provider_chain", lambda provider: [provider])
+    monkeypatch.setattr(
+        core,
+        "_call_provider",
+        lambda *args, **kwargs: provider_calls.append((args, kwargs)) or [],
+    )
+    monkeypatch.setattr(
+        core,
+        "_direct_scholarly_title_results",
+        lambda title, count: [{
+            "title": "Qwen2-VL: Enhancing Vision-Language Model Perception",
+            "url": "https://arxiv.org/abs/2409.12191",
+            "snippet": "Official paper.",
+            "source": "openalex",
+        }] if title == "Qwen2-VL" else [],
+    )
+
+    results = core.searxng_search_results(
+        "Qwen2-VL paper multimodal benchmarks Table 2 Table 4",
+        count=5,
+    )
+    table_results = core.searxng_search_results(
+        "Qwen2-VL Table 2 benchmark scores",
+        count=5,
+    )
+
+    assert provider_calls == []
+    assert results[0]["url"] == "https://arxiv.org/abs/2409.12191"
+    assert table_results[0]["url"] == "https://arxiv.org/abs/2409.12191"
+
+
+def test_generic_short_paper_phrase_does_not_claim_exact_title_resolution():
+    assert core._scholarly_title_from_query(
+        "recent paper benchmark results"
+    ) == ""
+    assert core._scholarly_title_from_query(
+        "well-known paper benchmark results"
+    ) == ""