lllin000_PaperForge/tests/test_ocr_metadata.py

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from __future__ import annotations
from pathlib import Path
def test_resolved_metadata_prefers_zotero_but_preserves_ocr_candidates() -> None:
from paperforge.worker.ocr_metadata import resolve_metadata
source_metadata = {
"zotero_key": "KEY001",
"title": "Canonical Zotero Title",
"authors": ["Alice", "Bob"],
"year": 2024,
"journal": "Journal A",
"doi": "10.1000/xyz",
"source": "zotero_bbt",
}
frontmatter_candidates = {
"title": "Canonical Zotero Title",
"authors_text": "Alice, Bob, Carol",
"doi_candidates": ["10.1000/xyz"],
}
resolved = resolve_metadata(source_metadata, frontmatter_candidates)
assert resolved["title"]["value"] == "Canonical Zotero Title"
assert resolved["title"]["source"] == "zotero"
assert resolved["authors"]["value"] == ["Alice", "Bob"]
assert "raw_frontmatter" in resolved
def test_resolved_metadata_has_confidence_scores() -> None:
from paperforge.worker.ocr_metadata import resolve_metadata
resolved = resolve_metadata(
{
"zotero_key": "KEY002",
"title": "Z Title",
"authors": ["A"],
"year": 2023,
"doi": "10.1001/abc",
},
{},
)
assert isinstance(resolved["title"]["confidence"], float)
assert resolved["title"]["confidence"] > 0.5
def test_resolved_metadata_preserves_alternatives() -> None:
from paperforge.worker.ocr_metadata import resolve_metadata
resolved = resolve_metadata(
{
"zotero_key": "KEY003",
"title": "Primary Title",
"authors": ["Author A"],
"year": 2022,
"doi": "10.1002/def",
},
{
"title": "Alternative OCR Title",
"authors_text": "Author B",
},
)
assert "alternatives" in resolved["title"]
assert len(resolved["title"]["alternatives"]) >= 1
assert any(
alt["source"] == "ocr_frontmatter"
for alt in resolved["title"]["alternatives"]
)
def test_legacy_frontmatter_recovers_title_from_first_page(tmp_path: Path) -> None:
from paperforge.worker.ocr_metadata import extract_frontmatter_candidates
import json
blocks_path = tmp_path / "blocks.structured.jsonl"
blocks_path.write_text(
json.dumps({"role": "paper_title", "text": "Test Paper Title"}) + "\n"
+ json.dumps({"role": "authors", "text": "Author A, Author B"}) + "\n"
+ json.dumps({"role": "doi", "text": "10.1000/xyz"}) + "\n",
encoding="utf-8",
)
candidates = extract_frontmatter_candidates(blocks_path)
assert candidates["title"] == "Test Paper Title"
assert candidates["authors_text"] == "Author A, Author B"
assert "10.1000/xyz" in candidates.get("doi_candidates", [])