Intermediate commit

tests/unit/services/domains/arxiv/test_guards.py

@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+from datetime import datetime, timezone
+
+from app.services.domains.arxiv.guards import arxiv_skip_reason_for_item
+from app.services.domains.publication_identifiers.types import DisplayIdentifier
+from app.services.domains.publications.types import PublicationListItem
+
+
+def _item(
+    *,
+    title: str,
+    pub_url: str | None = None,
+    pdf_url: str | None = None,
+    display_identifier: DisplayIdentifier | None = None,
+) -> PublicationListItem:
+    return PublicationListItem(
+        publication_id=1,
+        scholar_profile_id=1,
+        scholar_label="Ada Lovelace",
+        title=title,
+        year=2024,
+        citation_count=0,
+        venue_text=None,
+        pub_url=pub_url,
+        pdf_url=pdf_url,
+        is_read=False,
+        first_seen_at=datetime.now(timezone.utc),
+        is_new_in_latest_run=True,
+        display_identifier=display_identifier,
+    )
+
+
+def test_arxiv_skip_reason_for_strong_doi_evidence() -> None:
+    item = _item(
+        title="A Robust and Reproducible Deep Learning Benchmark",
+        display_identifier=DisplayIdentifier(
+            kind="doi",
+            value="10.1000/example",
+            label="DOI: 10.1000/example",
+            url="https://doi.org/10.1000/example",
+            confidence_score=1.0,
+        ),
+    )
+    assert arxiv_skip_reason_for_item(item=item) == "strong_doi_present"
+
+
+def test_arxiv_skip_reason_for_existing_arxiv_link() -> None:
+    item = _item(
+        title="A Robust and Reproducible Deep Learning Benchmark",
+        pub_url="https://arxiv.org/abs/2501.00001",
+    )
+    assert arxiv_skip_reason_for_item(item=item) == "arxiv_identifier_present"
+
+
+def test_arxiv_skip_reason_for_low_quality_title() -> None:
+    item = _item(title="AI 2024")
+    assert arxiv_skip_reason_for_item(item=item) == "title_quality_below_threshold"
+
+
+def test_arxiv_skip_reason_none_for_eligible_item() -> None:
+    item = _item(title="Reliable Graph Neural Network Benchmarking Across Multiple Datasets")
+    assert arxiv_skip_reason_for_item(item=item) is None