lllin000_PaperForge/tests/test_ocr_figures.py
2026-06-11 14:53:34 +08:00

1888 lines
64 KiB
Python

"""Phase 2 contract tests for figure inventory."""
from __future__ import annotations
# --- clustering helpers ---
def test_cluster_bbox_union() -> None:
from paperforge.worker.ocr_figures import _cluster_bbox
bboxes = [
[100, 100, 300, 300],
[250, 200, 500, 400],
]
result = _cluster_bbox(bboxes)
assert result == [100, 100, 500, 400]
def test_cluster_bbox_single() -> None:
from paperforge.worker.ocr_figures import _cluster_bbox
result = _cluster_bbox([[50, 60, 200, 300]])
assert result == [50, 60, 200, 300]
def test_cluster_bbox_empty() -> None:
from paperforge.worker.ocr_figures import _cluster_bbox
result = _cluster_bbox([])
assert result == [0, 0, 0, 0]
def test_media_clusters_side_by_side() -> None:
from paperforge.worker.ocr_figures import _media_clusters
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [0, 0, 100, 200]},
{"block_id": 2, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [120, 0, 220, 200]},
]
clusters = _media_clusters(blocks)
assert len(clusters) == 1
assert len(clusters[0]) == 2
def test_media_clusters_stacked() -> None:
from paperforge.worker.ocr_figures import _media_clusters
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [0, 0, 200, 100]},
{"block_id": 2, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [0, 120, 200, 220]},
]
clusters = _media_clusters(blocks)
assert len(clusters) == 1
assert len(clusters[0]) == 2
def test_media_clusters_different_pages() -> None:
from paperforge.worker.ocr_figures import _media_clusters
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [0, 0, 100, 100]},
{"block_id": 2, "page": 2, "role": "figure_asset", "raw_label": "image", "bbox": [0, 0, 100, 100]},
]
clusters = _media_clusters(blocks)
assert len(clusters) == 2
assert len(clusters[0]) == 1
assert len(clusters[1]) == 1
def test_media_clusters_wide_gap_no_cluster() -> None:
from paperforge.worker.ocr_figures import _media_clusters
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [0, 0, 200, 100]},
{"block_id": 2, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [0, 200, 200, 300]},
]
clusters = _media_clusters(blocks)
assert len(clusters) == 2
def test_media_clusters_ignores_non_media_assets() -> None:
from paperforge.worker.ocr_figures import _media_clusters
blocks = [
{"block_id": 1, "page": 1, "role": "figure_caption", "raw_label": "caption", "bbox": [0, 0, 100, 100]},
{"block_id": 2, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [0, 0, 100, 100]},
]
clusters = _media_clusters(blocks)
assert len(clusters) == 1
assert len(clusters[0]) == 1
def test_precaption_media_region_above() -> None:
from paperforge.worker.ocr_figures import _precaption_media_region
media_cluster = [
{"bbox": [0, 0, 200, 100]},
]
caption = {"bbox": [0, 120, 200, 150]}
assert _precaption_media_region(media_cluster, caption) is True
def test_precaption_media_region_below() -> None:
from paperforge.worker.ocr_figures import _precaption_media_region
media_cluster = [
{"bbox": [0, 200, 200, 300]},
]
caption = {"bbox": [0, 0, 200, 50]}
assert _precaption_media_region(media_cluster, caption) is False
def test_is_embedded_figure_text_inside_media() -> None:
from paperforge.worker.ocr_figures import is_embedded_figure_text
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [100, 100, 500, 400]},
]
block_inside = {"block_id": 2, "page": 1, "role": "text", "bbox": [200, 200, 300, 250]}
assert is_embedded_figure_text(block_inside, blocks) is True
def test_is_embedded_figure_text_outside_media() -> None:
from paperforge.worker.ocr_figures import is_embedded_figure_text
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [100, 100, 500, 400]},
]
block_outside = {"block_id": 2, "page": 1, "role": "text", "bbox": [600, 600, 700, 650]}
assert is_embedded_figure_text(block_outside, blocks) is False
def test_is_embedded_figure_text_narrow_axis_label() -> None:
from paperforge.worker.ocr_figures import is_embedded_figure_text
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [100, 100, 500, 400]},
]
narrow = {"block_id": 2, "page": 1, "role": "text", "bbox": [200, 450, 320, 470]}
assert is_embedded_figure_text(narrow, blocks) is True
def test_compute_candidate_figure_regions_basic() -> None:
from paperforge.worker.ocr_figures import _compute_candidate_figure_regions
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [100, 100, 500, 300]},
{
"block_id": 2,
"page": 1,
"role": "figure_caption",
"text": "Figure 1. Test caption.",
"bbox": [100, 320, 500, 360],
},
]
regions = _compute_candidate_figure_regions(blocks)
assert len(regions) == 1
assert regions[0]["page"] == 1
assert len(regions[0]["media_blocks"]) == 1
assert len(regions[0]["attached_captions"]) == 1
def test_compute_candidate_figure_regions_no_caption() -> None:
from paperforge.worker.ocr_figures import _compute_candidate_figure_regions
blocks = [
{"block_id": 1, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [100, 100, 500, 300]},
]
regions = _compute_candidate_figure_regions(blocks)
assert len(regions) == 1
assert len(regions[0]["attached_captions"]) == 0
def test_compute_candidate_figure_regions_caption_before_media() -> None:
from paperforge.worker.ocr_figures import _compute_candidate_figure_regions
blocks = [
{
"block_id": 1,
"page": 1,
"role": "figure_caption",
"text": "Figure 1. Caption before image.",
"bbox": [100, 50, 500, 90],
},
{"block_id": 2, "page": 1, "role": "figure_asset", "raw_label": "image", "bbox": [100, 110, 500, 400]},
]
regions = _compute_candidate_figure_regions(blocks)
assert len(regions) == 1
assert len(regions[0]["attached_captions"]) == 0
# --- existing tests ---
def test_formal_figure_count_is_based_on_legends_not_raw_images() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "KEY001",
"page": 3,
"block_id": "p3_b21",
"role": "figure_caption",
"text": "Figure 1. Left column figure.",
"bbox": [66, 446, 559, 628],
},
{
"paper_id": "KEY001",
"page": 3,
"block_id": "p3_b22",
"role": "figure_asset",
"text": "",
"bbox": [80, 116, 546, 434],
},
{
"paper_id": "KEY001",
"page": 3,
"block_id": "p3_b23",
"role": "figure_asset",
"text": "",
"bbox": [598, 114, 1063, 493],
},
]
inventory = build_figure_inventory(structured_blocks)
assert inventory["official_figure_count"] == 1
assert len(inventory["figure_legends"]) == 1
def test_validation_first_legend_does_not_promote_body_figure_mention() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "KEY010B",
"page": 3,
"block_id": "p3_b1",
"role": "body_paragraph",
"raw_role": "body_paragraph",
"raw_label": "text",
"text": "Figure 2 shows the comparative response over time and this sentence continues as narrative body prose for the main discussion section.",
"bbox": [90, 100, 530, 180],
"zone": "body_zone",
"style_family": "body_like",
"style_family_authority": "body_family_anchor",
"body_spine_member": True,
"marker_signature": {"type": "figure_number", "number": 2},
},
{
"paper_id": "KEY010B",
"page": 3,
"block_id": "p3_b2",
"role": "figure_asset",
"raw_label": "image",
"text": "",
"bbox": [620, 140, 1030, 520],
},
{
"paper_id": "KEY010B",
"page": 3,
"block_id": "p3_b3",
"role": "body_paragraph",
"raw_label": "text",
"text": "Figure 2. Formal caption with sufficient descriptive text to support validation-first legend matching near the media asset.",
"bbox": [620, 540, 1040, 620],
"zone": "display_zone",
"style_family": "legend_like",
"style_family_authority": "figure_family_anchor",
"marker_signature": {"type": "figure_number", "number": 2},
},
]
inventory = build_figure_inventory(structured_blocks)
assert all(legend.get("legend_block_id", legend.get("block_id")) != "p3_b1" for legend in inventory["figure_legends"])
assert any(legend.get("legend_block_id", legend.get("block_id")) == "p3_b3" for legend in inventory["figure_legends"])
assert inventory["official_figure_count"] == 1
def test_figure_inventory_includes_all_sections() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory([])
assert "figure_legends" in inventory
assert "figure_assets" in inventory
assert "matched_figures" in inventory
assert "held_figures" in inventory
assert "unmatched_legends" in inventory
assert "unmatched_assets" in inventory
assert "unresolved_clusters" in inventory
assert "official_figure_count" in inventory
def test_unmatched_assets_are_preserved() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "KEY001",
"page": 5,
"block_id": "p5_b10",
"role": "figure_asset",
"text": "",
"bbox": [100, 100, 500, 400],
},
]
inventory = build_figure_inventory(structured_blocks)
assert inventory["official_figure_count"] == 0
assert len(inventory["unmatched_assets"]) == 1
def test_extract_figure_number_basic() -> None:
from paperforge.worker.ocr_figures import _extract_figure_number
assert _extract_figure_number("Figure 1. Caption") == 1
def test_extract_figure_number_fig_dot() -> None:
from paperforge.worker.ocr_figures import _extract_figure_number
assert _extract_figure_number("Fig. 2. Test") == 2
def test_extract_figure_number_supplementary() -> None:
from paperforge.worker.ocr_figures import _extract_figure_number
assert _extract_figure_number("Supplementary Fig. S3") == 3
def test_extract_figure_number_extended_data() -> None:
from paperforge.worker.ocr_figures import _extract_figure_number
assert _extract_figure_number("Extended Data Fig. 4.") == 4
def test_extract_figure_number_decimal_truncated() -> None:
from paperforge.worker.ocr_figures import _extract_figure_number
result = _extract_figure_number("Figure 1.2. Magnified view")
assert result == 1 or result == 1.2
def test_extract_figure_number_none() -> None:
from paperforge.worker.ocr_figures import _extract_figure_number
assert _extract_figure_number("Some random text") is None
def test_extract_figure_number_multiline() -> None:
from paperforge.worker.ocr_figures import _extract_figure_number
assert _extract_figure_number("Figure 3.\nDescription continues") == 3
def test_formal_legend_detection_explicit_figure_prefix() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption",
"text": "Figure 1. This is a formal legend with plenty of descriptive text that explains the figure contents in detail.",
"bbox": [50, 400, 550, 450],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b2",
"role": "figure_asset",
"text": "",
"bbox": [50, 50, 550, 380],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["matched_figures"]) == 1
assert inventory["matched_figures"][0]["figure_number"] == 1
assert len(inventory["matched_figures"][0]["matched_assets"]) == 1
assert inventory["matched_figures"][0]["confidence"] == inventory["matched_figures"][0]["match_score"]["score"]
def test_candidate_legend_geometry_match() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption",
"text": "Figure 1. Formal legend that establishes a width profile.",
"bbox": [50, 420, 550, 460],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b2",
"role": "figure_caption",
"text": "No figure prefix but short and profile-matched",
"bbox": [60, 350, 540, 380],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b3",
"role": "figure_asset",
"text": "",
"bbox": [60, 50, 540, 330],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["matched_figures"]) == 1
match_texts = [m["text"] for m in inventory["matched_figures"]]
assert any("Figure 1. Formal legend" in t for t in match_texts)
assert len(inventory["unmatched_legends"]) == 1
assert "No figure prefix" in inventory["unmatched_legends"][0].get("text", "")
def test_legend_only_figure_no_asset_match() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 2,
"block_id": "p2_b1",
"role": "figure_caption",
"text": "Figure 2. This caption has no matching asset on the same page.",
"bbox": [50, 700, 550, 750],
},
]
inventory = build_figure_inventory(structured_blocks)
assert inventory["matched_figures"] == []
assert len(inventory.get("ambiguous_figures", [])) == 1
assert inventory["ambiguous_figures"][0]["legend_block_id"] == "p2_b1"
assert inventory["ambiguous_figures"][0]["hold_reason"] == "no_asset_match"
def test_unmatched_legends_populated() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 3,
"block_id": "p3_b1",
"role": "figure_caption",
"text": "Figure 3. Caption with no figure asset at all.",
"bbox": [50, 700, 550, 750],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["unmatched_legends"]) == 1
assert inventory["unmatched_legends"][0]["block_id"] == "p3_b1"
def test_body_mention_not_mistaken_for_formal_legend() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption",
"block_label": "text",
"text": "Figure 3 shows quantitative results of cell migration under applied DC electric field.",
"bbox": [50, 100, 550, 130],
},
{
"paper_id": "K001",
"page": 2,
"block_id": "p2_b1",
"role": "figure_caption",
"block_label": "figure_title",
"text": "Figure 3. Quantitative analysis of cell migration under DC electric field stimulation.",
"bbox": [50, 700, 550, 740],
},
{
"paper_id": "K001",
"page": 2,
"block_id": "p2_b2",
"role": "figure_asset",
"text": "",
"bbox": [50, 50, 550, 680],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["matched_figures"]) == 1
assert inventory["matched_figures"][0]["legend_block_id"] == "p2_b1"
assert len(inventory["matched_figures"][0]["matched_assets"]) == 1
assert inventory["matched_figures"][0]["matched_assets"][0]["block_id"] == "p2_b2"
def test_legend_does_not_steal_offpage_asset() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption",
"text": "Figure 1. A caption with no asset on the same page.",
"bbox": [50, 700, 550, 740],
},
{
"paper_id": "K001",
"page": 2,
"block_id": "p2_b1",
"role": "figure_asset",
"text": "",
"bbox": [50, 50, 550, 400],
},
]
inventory = build_figure_inventory(structured_blocks)
assert inventory["matched_figures"] == []
assert len(inventory.get("ambiguous_figures", [])) == 1
assert inventory["ambiguous_figures"][0]["legend_block_id"] == "p1_b1"
assert inventory["ambiguous_figures"][0]["hold_reason"] == "no_asset_match"
assert len(inventory["unmatched_assets"]) == 1
assert inventory["unmatched_assets"][0]["block_id"] == "p2_b1"
# --- shared fixture for unresolved cluster tests ---
UNRESOLVED_CLUSTER_BLOCKS = [
{
"paper_id": "K001",
"page": 9,
"block_id": "p9_b2",
"role": "media_asset",
"raw_label": "chart",
"text": "",
"bbox": [429, 237, 733, 485],
},
{
"paper_id": "K001",
"page": 9,
"block_id": "p9_b3",
"role": "media_asset",
"raw_label": "chart",
"text": "",
"bbox": [772, 238, 1071, 484],
},
{
"paper_id": "K001",
"page": 9,
"block_id": "p9_b4",
"role": "media_asset",
"raw_label": "chart",
"text": "",
"bbox": [363, 504, 742, 757],
},
{
"paper_id": "K001",
"page": 9,
"block_id": "p9_b5",
"role": "media_asset",
"raw_label": "chart",
"text": "",
"bbox": [766, 503, 1075, 750],
},
{
"paper_id": "K001",
"page": 9,
"block_id": "p9_b6",
"role": "media_asset",
"raw_label": "chart",
"text": "",
"bbox": [428, 774, 729, 1016],
},
{
"paper_id": "K001",
"page": 9,
"block_id": "p9_b7",
"role": "media_asset",
"raw_label": "chart",
"text": "",
"bbox": [765, 768, 1075, 1013],
},
{
"paper_id": "K001",
"page": 9,
"block_id": "p9_b8",
"role": "figure_caption",
"raw_label": "figure_title",
"text": "Days post culture in osteogenic differentiation supplemented medium",
"bbox": [374, 1046, 1143, 1077],
},
]
def test_low_confidence_inner_label_does_not_create_formal_figure_object() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory(UNRESOLVED_CLUSTER_BLOCKS, page_width=1224)
assert len(inventory["matched_figures"]) == 0, (
"Rejected low-confidence inner labels must not create formal matched figures"
)
assert len(inventory["rejected_legends"]) == 1
# === unresolved clusters ===
def test_unresolved_clusters_in_inventory() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory(UNRESOLVED_CLUSTER_BLOCKS, page_width=1224)
assert len(inventory["matched_figures"]) == 0
assert len(inventory["rejected_legends"]) == 1
assert "unresolved_clusters" in inventory, (
"unresolved_clusters key must exist in inventory"
)
assert len(inventory["unresolved_clusters"]) == 1, (
"One unresolved cluster expected for six panels with rejected legend"
)
cluster = inventory["unresolved_clusters"][0]
assert len(cluster["media_block_ids"]) == 6, (
"Cluster must contain all six media block ids"
)
for bid in ["p9_b2", "p9_b3", "p9_b4", "p9_b5", "p9_b6", "p9_b7"]:
assert bid in cluster["media_block_ids"], f"Cluster missing {bid}"
assert len(inventory["unmatched_assets"]) == 0, (
"Six panels should be consumed by unresolved cluster, not left as individual unmatched assets"
)
assert cluster["cluster_id"] == "unresolved_cluster_001"
assert cluster["page"] == 9
assert cluster["cluster_bbox"] == [363, 237, 1075, 1016]
# === panel subcaption / formal legend precedence ===
def test_panel_subcaption_rejected_by_is_formal_legend() -> None:
from paperforge.worker.ocr_figures import _is_formal_legend
panel_subcaption = "c. Redistribution of cells after 24 hours of treatment"
assert _is_formal_legend(panel_subcaption) is False
def test_panel_subcaption_with_parenthesis_rejected() -> None:
from paperforge.worker.ocr_figures import _is_formal_legend
panel_subcaption = "a) Control group measurements at 48 hours post stimulation"
assert _is_formal_legend(panel_subcaption) is False
def test_formal_legend_precedence_over_panel_subcaption() -> None:
"""When a numbered formal legend and a panel subcaption exist on the same page
with a single candidate region, the formal legend must claim the region."""
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption",
"text": "Fig. 2. Quantitative analysis of cell migration under DC electric field "
"stimulation over 48 hours.",
"bbox": [50, 420, 550, 460],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b2",
"role": "figure_caption",
"text": "c. Redistribution of cells after 24 hours of treatment with "
"osteogenic medium for differentiation induction",
"bbox": [60, 350, 540, 380],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b3",
"role": "figure_asset",
"text": "",
"bbox": [60, 50, 540, 330],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["matched_figures"]) == 1
assert inventory["matched_figures"][0]["figure_number"] == 2
assert len(inventory["matched_figures"][0]["matched_assets"]) == 1
assert len(inventory["rejected_legends"]) == 1
assert "c. Redistribution" in inventory["rejected_legends"][0].get("text", "")
# === non-body insert media exclusion ===
PAGE1_AUTHOR_BIO_FIXTURE = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "non_body_insert",
"_non_body_insert": True,
"text": "Short author biography",
"bbox": [50, 50, 230, 120],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b2",
"role": "non_body_insert",
"_non_body_insert": True,
"text": "John Smith, PhD, is a professor...",
"bbox": [50, 130, 230, 200],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b3",
"role": "media_asset",
"raw_label": "image",
"_non_body_media": True,
"text": "",
"bbox": [240, 50, 350, 180],
},
{
"paper_id": "K001",
"page": 2,
"block_id": "p2_b1",
"role": "figure_caption",
"text": "Figure 1. Migration under DC field.",
"bbox": [50, 700, 550, 740],
},
{
"paper_id": "K001",
"page": 2,
"block_id": "p2_b2",
"role": "figure_asset",
"text": "",
"bbox": [50, 50, 550, 680],
},
]
def test_non_body_insert_media_not_in_figure_assets() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory(PAGE1_AUTHOR_BIO_FIXTURE)
asset_ids = [a.get("block_id") for a in inventory["figure_assets"]]
assert "p1_b3" not in asset_ids, "Author bio image must be excluded from figure_assets"
def test_non_body_insert_text_blocks_not_in_assets() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory(PAGE1_AUTHOR_BIO_FIXTURE)
asset_ids = [a.get("block_id") for a in inventory["figure_assets"]]
assert "p1_b1" not in asset_ids
assert "p1_b2" not in asset_ids
def test_non_body_insert_media_not_in_unmatched_assets() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory(PAGE1_AUTHOR_BIO_FIXTURE)
unmatched_ids = [a.get("block_id") for a in inventory["unmatched_assets"]]
assert "p1_b3" not in unmatched_ids, (
"Author bio image must not appear in unmatched_assets either"
)
def test_author_bio_media_does_not_affect_normal_figure_matching() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory(PAGE1_AUTHOR_BIO_FIXTURE)
assert len(inventory["matched_figures"]) == 1
assert inventory["matched_figures"][0]["legend_block_id"] == "p2_b1"
assert len(inventory["matched_figures"][0]["matched_assets"]) == 1
assert inventory["matched_figures"][0]["matched_assets"][0]["block_id"] == "p2_b2"
# === figure_caption_candidate gating (heuristic gating remediation Task 4) ===
def test_fig_26c_narrative_not_legend() -> None:
"""figure_caption_candidate with narrative prose must not become a legend."""
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption_candidate",
"block_label": "text",
"text": "Fig. 26c addresses a limiting case. The trend reverses at higher "
"concentrations. This is consistent with prior work.",
"bbox": [50, 100, 550, 140],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["matched_figures"]) == 0
assert inventory.get("rejected_legends", []) == [] or len(inventory["rejected_legends"]) == 0
assert len(inventory["figure_legends"]) == 0
def test_figure_caption_candidate_survives() -> None:
"""A genuine figure_caption_candidate with formal legend text and nearby media survives."""
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption_candidate",
"raw_role": "figure_caption_candidate",
"text": "Figure 1. Quantitative analysis of cell migration under applied DC electric field stimulation over 48 hours.",
"bbox": [50, 420, 550, 460],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b2",
"role": "figure_asset",
"text": "",
"bbox": [50, 50, 550, 400],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["figure_legends"]) == 1
assert len(inventory["matched_figures"]) == 1
assert inventory["matched_figures"][0]["figure_number"] == 1
def test_prose_shaped_figure_caption_candidate_rejected() -> None:
"""Prose-shaped figure_caption_candidate is skipped (not added to figures)."""
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption_candidate",
"text": "Fig. 26c addresses our experimental observations. The trend reverses at higher concentrations as expected.",
"bbox": [50, 700, 550, 740],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b2",
"role": "figure_asset",
"text": "",
"bbox": [50, 50, 550, 300],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory.get("legends", [])) == 0
assert len(inventory.get("matched_figures", [])) == 0
# Candidate with prose is skipped entirely (not rejected, not accepted)
assert len(inventory["matched_figures"]) == 0
# === resolved figure_caption not rejected by inventory (Task 5) ===
def test_resolved_figure_caption_not_rejected_by_inventory():
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{"block_id": "m1", "role": "media_asset", "bbox": [100, 500, 400, 800], "page": 5, "page_width": 1200, "page_height": 1700, "text": ""},
{"block_id": "c1", "role": "figure_caption", "text": "Fig. 7. Expression of mRNA in tissue sections.", "bbox": [100, 450, 500, 490], "page": 5, "page_width": 1200, "page_height": 1700, "render_default": True},
]
inventory = build_figure_inventory(blocks)
assert len(inventory["matched_figures"]) == 1, (
f"Expected 1 matched figure, got {len(inventory['matched_figures'])}"
)
# === SAN9AYVR guard tests (Task 7 -- preserve figure mainline) ===
SAN9AYVR_BODY_AND_FIGURES = [
{
"paper_id": "SAN9AYVR",
"page": 3,
"block_id": "p3_b1",
"role": "figure_caption_candidate",
"block_label": "text",
"text": "Fig. 26c addresses the limiting case of the mathematical model where "
"the field strength approaches zero. The trend reverses at higher "
"concentrations as the system enters a regime where nonlinear effects "
"dominate the observed dynamics. This pattern is consistent with "
"prior observations in similar experimental systems.",
"bbox": [50, 700, 550, 760],
"page_width": 1200,
"page_height": 1700,
},
{
"paper_id": "SAN9AYVR",
"page": 3,
"block_id": "p3_b2",
"role": "figure_caption",
"text": "Figure 26. Quantitative analysis of cell migration under "
"applied DC electric field stimulation over 48 hours. "
"Data represent mean plus/minus standard deviation from "
"three independent experiments performed in triplicate.",
"bbox": [50, 420, 550, 480],
"page_width": 1200,
"page_height": 1700,
},
{
"paper_id": "SAN9AYVR",
"page": 3,
"block_id": "p3_b3",
"role": "figure_asset",
"text": "",
"bbox": [50, 50, 550, 400],
"page_width": 1200,
"page_height": 1700,
},
{
"paper_id": "SAN9AYVR",
"page": 3,
"block_id": "p3_b4",
"role": "figure_caption",
"text": "Figure 27. Expression levels of key proteins under "
"different experimental conditions. Error bars "
"represent standard deviation from three independent "
"biological replicates measured in duplicate.",
"bbox": [600, 420, 1100, 490],
"page_width": 1200,
"page_height": 1700,
},
{
"paper_id": "SAN9AYVR",
"page": 3,
"block_id": "p3_b5",
"role": "figure_asset",
"text": "",
"bbox": [600, 50, 1100, 400],
"page_width": 1200,
"page_height": 1700,
},
]
def test_san9ayvr_fig26c_body_narrative() -> None:
"""SAN9AYVR's Fig. 26c narrative text stays body narrative, not formal legend."""
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory(SAN9AYVR_BODY_AND_FIGURES)
assert len(inventory["matched_figures"]) == 2, (
f"Expected 2 matched figures (Fig. 26, Fig. 27), got {len(inventory['matched_figures'])}"
)
for m in inventory["matched_figures"]:
assert "Fig. 26c" not in m.get("text", ""), (
"Narrative Fig. 26c mention must not appear as a formal legend"
)
def test_san9ayvr_fig26_fig27_remain_formal() -> None:
"""SAN9AYVR Fig. 26 and Fig. 27 near media remain formal legends."""
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory(SAN9AYVR_BODY_AND_FIGURES)
fig_numbers = [m["figure_number"] for m in inventory["matched_figures"]]
assert 26 in fig_numbers, "Figure 26 must be a matched figure"
assert 27 in fig_numbers, "Figure 27 must be a matched figure"
for m in inventory["matched_figures"]:
assert len(m["matched_assets"]) == 1, (
f"Figure {m['figure_number']} must retain its media asset"
)
def test_figure_inventory_caption_score_evidence() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption",
"text": "Figure 1. Cell migration assay under DC electric field.",
"bbox": [50, 420, 550, 460],
},
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b2",
"role": "figure_asset",
"text": "",
"bbox": [50, 50, 550, 400],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["matched_figures"]) == 1
figure = inventory["matched_figures"][0]
assert "caption_score" in figure
assert figure["caption_score"]["decision"] == "figure_caption"
assert figure["caption_score"]["evidence"]
def test_figure_inventory_marks_close_asset_candidates_ambiguous() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{"block_id": "cap1", "role": "figure_caption", "page": 1, "text": "Figure 1. Assay result", "bbox": [100, 500, 700, 540]},
{"block_id": "asset1", "role": "figure_asset", "page": 1, "bbox": [100, 100, 700, 470]},
{"block_id": "asset2", "role": "figure_asset", "page": 1, "bbox": [110, 560, 710, 900]},
]
inventory = build_figure_inventory(blocks)
assert inventory["matched_figures"] == []
assert len(inventory.get("ambiguous_figures", [])) == 1
assert inventory["ambiguous_figures"][0]["legend_block_id"] == "cap1"
def test_figure_inventory_does_not_confidently_match_low_caption_score() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{"block_id": "cap1", "role": "figure_caption_candidate", "page": 1, "text": "Experimental results demonstrating cellular response over time with treatment.", "bbox": [100, 500, 700, 540]},
{"block_id": "asset1", "role": "figure_asset", "page": 1, "bbox": [100, 100, 700, 470]},
]
inventory = build_figure_inventory(blocks)
assert inventory["matched_figures"] == []
assert len(inventory["unmatched_legends"]) == 1
def test_figure_matching_can_hold_when_legend_is_ambiguous() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b1",
"zone": "body_zone",
"style_family": "legend_like",
"text": "Figure 1",
"marker_signature": {"type": "figure_number", "number": 1},
"bbox": [50, 50, 300, 90],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b2",
"zone": "body_zone",
"style_family": "body_like",
"text": "Narrative prose",
"marker_signature": {"type": "none"},
"bbox": [50, 100, 900, 140],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert inv["matched_figures"] == []
assert "held_figures" in inv
assert len(inv["held_figures"]) == 1
assert inv["held_figures"][0]["legend_block_id"] == "p10_b1"
assert inv["held_figures"][0]["hold_reason"] == "insufficient_legend_evidence"
assert inv["held_figures"][0]["figure_number"] == 1
def test_validation_first_truncated_legend_variants_are_held() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
for legend_text in ("Figure 1.", "Fig. 1."):
structured_blocks = [
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b1",
"zone": "body_zone",
"style_family": "legend_like",
"text": legend_text,
"marker_signature": {"type": "figure_number", "number": 1},
"bbox": [50, 50, 300, 90],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b2",
"zone": "body_zone",
"style_family": "body_like",
"text": "Narrative prose",
"marker_signature": {"type": "none"},
"bbox": [50, 100, 900, 140],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert inv["matched_figures"] == []
assert len(inv.get("held_figures", [])) == 1
assert inv["held_figures"][0]["legend_block_id"] == "p10_b1"
def test_validation_first_truncated_legend_with_same_page_asset_still_holds() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b1",
"zone": "body_zone",
"style_family": "legend_like",
"text": "Figure 1.",
"marker_signature": {"type": "figure_number", "number": 1},
"bbox": [50, 420, 300, 460],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b2",
"role": "figure_asset",
"text": "",
"bbox": [50, 60, 550, 390],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert inv["matched_figures"] == []
assert len(inv.get("held_figures", [])) == 1
assert inv["held_figures"][0]["legend_block_id"] == "p10_b1"
def test_display_zone_validation_first_candidate_enters_figure_matching() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 7,
"block_id": "p7_b1",
"zone": "display_zone",
"style_family": "legend_like",
"text": "Figure 3.",
"marker_signature": {"type": "figure_number", "number": 3},
"bbox": [100, 420, 360, 460],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 7,
"block_id": "p7_b2",
"role": "figure_asset",
"text": "",
"bbox": [80, 60, 620, 390],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert inv["matched_figures"] == []
assert len(inv.get("held_figures", [])) == 1
assert inv["held_figures"][0]["legend_block_id"] == "p7_b1"
def test_display_zone_validation_first_full_caption_can_match() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 7,
"block_id": "p7_b1",
"zone": "display_zone",
"style_family": "legend_like",
"style_family_authority": "figure_family_anchor",
"text": "Figure 3. Quantitative analysis of migration under stimulation.",
"marker_signature": {"type": "figure_number", "number": 3},
"bbox": [120, 420, 620, 470],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 7,
"block_id": "p7_b2",
"role": "figure_asset",
"text": "",
"bbox": [100, 60, 700, 390],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert len(inv["matched_figures"]) == 1
assert inv["matched_figures"][0]["legend_block_id"] == "p7_b1"
assert inv["matched_figures"][0]["matched_assets"][0]["block_id"] == "p7_b2"
def test_truncated_legend_variant_from_existing_caption_role_is_still_held() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b1",
"role": "figure_caption",
"zone": "body_zone",
"style_family": "legend_like",
"text": "Figure 1.",
"marker_signature": {"type": "figure_number", "number": 1},
"bbox": [50, 50, 300, 90],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b2",
"role": "body_paragraph",
"zone": "body_zone",
"style_family": "body_like",
"text": "Narrative prose",
"marker_signature": {"type": "none"},
"bbox": [50, 100, 900, 140],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert inv["matched_figures"] == []
assert inv.get("held_figures", []) == []
assert len(inv.get("ambiguous_figures", [])) == 1
assert inv["ambiguous_figures"][0]["legend_block_id"] == "p10_b1"
def test_legitimate_offset_caption_asset_pair_can_still_match_with_overlap() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 4,
"block_id": "cap1",
"role": "figure_caption",
"text": "Figure 2. Migration assay under stimulation.",
"bbox": [180, 420, 620, 470],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 4,
"block_id": "asset1",
"role": "figure_asset",
"text": "",
"bbox": [100, 60, 700, 390],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert len(inv["matched_figures"]) == 1
assert inv["matched_figures"][0]["legend_block_id"] == "cap1"
assert inv["matched_figures"][0]["matched_assets"][0]["block_id"] == "asset1"
def test_explicit_figure_caption_role_is_not_diverted_into_hold() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b1",
"role": "figure_caption",
"zone": "body_zone",
"style_family": "legend_like",
"text": "Figure 1. Migration assay under electric field stimulation.",
"marker_signature": {"type": "figure_number", "number": 1},
"bbox": [50, 420, 550, 470],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 10,
"block_id": "p10_b2",
"role": "figure_asset",
"text": "",
"bbox": [50, 60, 550, 400],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert inv.get("held_figures", []) == []
assert len(inv["matched_figures"]) == 1
assert inv["matched_figures"][0]["legend_block_id"] == "p10_b1"
def test_weak_single_candidate_match_is_not_forced_by_fallback() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 4,
"block_id": "p4_b1",
"role": "figure_caption",
"text": "Figure 1. Brief caption.",
"bbox": [50, 500, 250, 530],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 4,
"block_id": "p4_b2",
"role": "figure_asset",
"text": "",
"bbox": [700, 60, 1100, 420],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert inv["matched_figures"] == []
assert len(inv.get("ambiguous_figures", [])) == 1
assert inv["ambiguous_figures"][0]["legend_block_id"] == "p4_b1"
assert len(inv["unmatched_assets"]) == 1
assert inv["unmatched_assets"][0]["block_id"] == "p4_b2"
def test_no_candidate_sequential_fallback_no_longer_manufactures_match() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 6,
"block_id": "p6_b1",
"role": "figure_caption",
"text": "Figure 1. A caption with no validated candidate geometry.",
"bbox": [50, 700, 550, 740],
"page_width": 1200,
"page_height": 1600,
},
{
"paper_id": "K001",
"page": 6,
"block_id": "p6_b2",
"role": "figure_asset",
"text": "",
"bbox": [700, 50, 1100, 300],
"page_width": 1200,
"page_height": 1600,
},
]
inv = build_figure_inventory(structured_blocks)
assert inv["matched_figures"] == []
assert all(
figure.get("match_score", {}).get("decision") != "matched_fallback"
for figure in inv.get("matched_figures", [])
)
assert len(inv.get("ambiguous_figures", [])) == 1
assert inv["ambiguous_figures"][0]["legend_block_id"] == "p6_b1"
assert len(inv["unmatched_assets"]) == 1
assert inv["unmatched_assets"][0]["block_id"] == "p6_b2"
def test_rejected_legend_caption_score_evidence() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
structured_blocks = [
{
"paper_id": "K001",
"page": 1,
"block_id": "p1_b1",
"role": "figure_caption",
"text": "Total cells",
"bbox": [50, 700, 200, 720],
},
]
inventory = build_figure_inventory(structured_blocks)
assert len(inventory["rejected_legends"]) == 1
assert "caption_score" in inventory["rejected_legends"][0]
assert inventory["rejected_legends"][0]["caption_score"]["decision"] == "rejected"
def test_inline_figure_mention_is_rejected_as_formal_caption():
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{"block_id": "cap1", "role": "figure_caption_candidate", "page": 1,
"text": "Figure 2 shows that cells migrated significantly under electrical stimulation conditions.",
"bbox": [100, 100, 700, 130], "page_width": 1200, "page_height": 1700},
{"block_id": "asset1", "role": "figure_asset", "page": 1,
"bbox": [100, 200, 700, 500]},
]
inventory = build_figure_inventory(blocks)
assert len(inventory["unmatched_legends"]) == 1
assert inventory["unmatched_legends"][0]["block_id"] == "cap1"
def test_frontiers_caption_not_affected_by_inline_detector():
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{"block_id": "cap1", "role": "figure_caption", "page": 1,
"text": "FIGURE 1 | Expression of irisin is downregulated in OA cartilage",
"bbox": [100, 500, 700, 540], "page_width": 1200, "page_height": 1700},
{"block_id": "asset1", "role": "figure_asset", "page": 1,
"bbox": [100, 50, 700, 450]},
]
inventory = build_figure_inventory(blocks)
assert len(inventory["matched_figures"]) >= 1
def test_as_shown_in_figure_mention_rejected():
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{"block_id": "cap1", "role": "figure_caption_candidate", "page": 1,
"text": "As shown in Figure 3, the scaffold promotes cell attachment.",
"bbox": [100, 100, 700, 130], "page_width": 1200, "page_height": 1700},
{"block_id": "asset1", "role": "figure_asset", "page": 1,
"bbox": [100, 200, 700, 500]},
]
inventory = build_figure_inventory(blocks)
assert len(inventory["unmatched_legends"]) == 1
# === figure legend completeness (Task 8) ===
def test_completeness_present_in_empty_inventory() -> None:
from paperforge.worker.ocr_figures import build_figure_inventory
inventory = build_figure_inventory([])
assert "figure_legend_completeness" in inventory
c = inventory["figure_legend_completeness"]
assert c["total"] == 0
assert c["accounted_for"] == 0
assert c["gap_count"] == 0
assert c["details"] == []
def test_completeness_all_legends_accounted_matched() -> None:
"""Every numbered formal legend is matched to an asset."""
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{
"paper_id": "K001", "page": 1, "block_id": "p1_b1",
"role": "figure_caption",
"text": "Figure 1. Migration under DC field.",
"bbox": [50, 420, 550, 460],
},
{
"paper_id": "K001", "page": 1, "block_id": "p1_b2",
"role": "figure_asset", "text": "",
"bbox": [50, 50, 550, 400],
},
{
"paper_id": "K001", "page": 2, "block_id": "p2_b1",
"role": "figure_caption",
"text": "Figure 2. Expression levels.",
"bbox": [50, 420, 550, 460],
},
{
"paper_id": "K001", "page": 2, "block_id": "p2_b2",
"role": "figure_asset", "text": "",
"bbox": [50, 50, 550, 400],
},
]
inventory = build_figure_inventory(blocks)
c = inventory["figure_legend_completeness"]
assert c["total"] == 2
assert c["accounted_for"] == 2
assert c["gap_count"] == 0
for d in c["details"]:
assert d["status"] == "matched"
def test_completeness_legend_only_no_asset_is_ambiguous() -> None:
"""A numbered legend with no matching asset lands in ambiguous, not gap."""
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{
"paper_id": "K001", "page": 3, "block_id": "p3_b1",
"role": "figure_caption",
"text": "Figure 5. Caption with no asset on this page.",
"bbox": [50, 700, 550, 750],
},
]
inventory = build_figure_inventory(blocks)
c = inventory["figure_legend_completeness"]
assert c["total"] == 1
assert c["accounted_for"] == 1
assert c["gap_count"] == 0
assert c["details"][0]["status"] == "ambiguous"
def test_completeness_held_legend_is_accounted() -> None:
"""A held (truncated) legend is counted as held, not gap."""
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{
"paper_id": "K001", "page": 10, "block_id": "p10_b1",
"zone": "body_zone", "style_family": "legend_like",
"text": "Figure 1",
"marker_signature": {"type": "figure_number", "number": 1},
"bbox": [50, 50, 300, 90],
"page_width": 1200, "page_height": 1600,
},
{
"paper_id": "K001", "page": 10, "block_id": "p10_b2",
"zone": "body_zone", "style_family": "body_like",
"text": "Narrative prose",
"marker_signature": {"type": "none"},
"bbox": [50, 100, 900, 140],
"page_width": 1200, "page_height": 1600,
},
]
inventory = build_figure_inventory(blocks)
c = inventory["figure_legend_completeness"]
assert c["total"] == 1
assert c["accounted_for"] == 1
assert c["gap_count"] == 0
assert c["details"][0]["status"] == "held"
def test_completeness_low_score_legend_is_unmatched_not_gap() -> None:
"""A legend with low caption score goes to rejected_legends, not gap.
Note: 'Total cells' lacks a figure number so the completeness check
does not count it as a numbered formal legend -- correct behavior."""
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{
"paper_id": "K001", "page": 1, "block_id": "p1_b1",
"role": "figure_caption",
"text": "Total cells",
"bbox": [50, 700, 200, 720],
},
]
inventory = build_figure_inventory(blocks)
c = inventory["figure_legend_completeness"]
# "Total cells" has no figure number, so completeness check skips it
assert c["total"] == 0
assert c["gap_count"] == 0
# It IS in rejected_legends (pipeline rejects it as not formal)
assert len(inventory["rejected_legends"]) == 1
def test_completeness_rejected_legend_not_in_count() -> None:
"""Rejected legends (axis labels etc.) are not formal numbered legends."""
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
{
"paper_id": "K001", "page": 9, "block_id": "p9_b8",
"role": "figure_caption", "raw_label": "figure_title",
"text": "Days post culture in osteogenic differentiation supplemented medium",
"bbox": [374, 1046, 1143, 1077],
},
]
inventory = build_figure_inventory(blocks)
c = inventory["figure_legend_completeness"]
assert c["total"] == 0
assert c["gap_count"] == 0
def test_completeness_mixed_outcomes_all_accounted() -> None:
"""Multiple numbered legends with different outcomes are all accounted for."""
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
# Figure 1: matched
{
"paper_id": "K001", "page": 1, "block_id": "p1_b1",
"role": "figure_caption",
"text": "Figure 1. Migration under DC field.",
"bbox": [50, 420, 550, 460],
},
{
"paper_id": "K001", "page": 1, "block_id": "p1_b2",
"role": "figure_asset", "text": "",
"bbox": [50, 50, 550, 400],
},
# Figure 5: no asset on same page -> ambiguous
{
"paper_id": "K001", "page": 2, "block_id": "p2_b1",
"role": "figure_caption",
"text": "Figure 5. Expression levels without asset.",
"bbox": [50, 700, 550, 750],
},
# Non-numbered caption (axis label) -> not counted by completeness
{
"paper_id": "K001", "page": 3, "block_id": "p3_b1",
"role": "figure_caption",
"text": "Days post culture",
"bbox": [50, 700, 200, 720],
},
]
inventory = build_figure_inventory(blocks)
c = inventory["figure_legend_completeness"]
# Only Figure 1 and Figure 2 have figure numbers
assert c["total"] == 2
assert c["accounted_for"] == 2
assert c["gap_count"] == 0
statuses = {d["block_id"]: d["status"] for d in c["details"]}
assert statuses["p1_b1"] == "matched"
assert statuses["p2_b1"] == "ambiguous"
def test_compute_figure_legend_completeness_directly() -> None:
"""Test the completeness function independently with a synthetic gap."""
from paperforge.worker.ocr_figures import compute_figure_legend_completeness
structured_blocks = [
{
"paper_id": "K001", "page": 1, "block_id": "leg_A",
"role": "figure_caption",
"text": "Figure 1. Test.",
"bbox": [50, 420, 550, 460],
},
{
"paper_id": "K001", "page": 2, "block_id": "leg_B",
"role": "figure_caption",
"text": "Figure 2. Test.",
"bbox": [50, 420, 550, 460],
},
]
# Inventory where leg_A is matched but leg_B is missing from all buckets
inventory = {
"matched_figures": [{"legend_block_id": "leg_A"}],
"held_figures": [],
"ambiguous_figures": [],
"unmatched_legends": [],
}
result = compute_figure_legend_completeness(structured_blocks, inventory)
assert result["total"] == 2
assert result["accounted_for"] == 1
assert result["gap_count"] == 1
statuses = {d["block_id"]: d["status"] for d in result["details"]}
assert statuses["leg_A"] == "matched"
assert statuses["leg_B"] == "gap"
# === strict-layer sequence match promotion (Task 7) ===
def test_strict_layer_promotes_contiguous_legends_with_ordered_assets() -> None:
"""Ambiguous figures with figure numbers adjacent to matched figures
are promoted to sequence_match — but only when they have asset_block_ids."""
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
# Fig 1: legend + asset on page 3 — direct match
{"block_id": 10, "role": "figure_caption",
"text": "Figure 1. Experimental setup for biomechanical testing.",
"page": 3, "bbox": [100, 700, 500, 720],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
{"block_id": 11, "role": "figure_asset",
"page": 3, "bbox": [100, 400, 500, 680]},
# Fig 2: legend on page 4, no asset — ambiguous (no_asset_match)
{"block_id": 12, "role": "figure_caption",
"text": "Figure 2. Histological analysis of tissue sections.",
"page": 4, "bbox": [100, 300, 500, 320],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
# Fig 3: legend + asset on page 5 — direct match
{"block_id": 13, "role": "figure_caption",
"text": "Figure 3. Gene expression analysis results.",
"page": 5, "bbox": [100, 300, 500, 320],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
{"block_id": 14, "role": "figure_asset",
"page": 5, "bbox": [100, 50, 500, 280]},
# Body paragraph on page 3
{"block_id": 15, "role": "body_paragraph",
"text": "Body text here.",
"page": 3, "bbox": [100, 750, 500, 770]},
]
inventory = build_figure_inventory(blocks)
matched = inventory.get("matched_figures", [])
fig_numbers = {mf.get("figure_number") for mf in matched}
# Fig 2 must NOT be promoted — it has no assets
assert 2 not in fig_numbers, (
f"Fig 2 must NOT be promoted to SEQUENCE_MATCH without assets. "
f"Matched fig nums: {fig_numbers}"
)
# Fig 1 and Fig 3 should still be matched directly
assert 1 in fig_numbers
assert 3 in fig_numbers
def test_compute_figure_legend_completeness_skips_body_mentions() -> None:
"""Body-paragraph figure mentions are not counted as formal legends."""
from paperforge.worker.ocr_figures import compute_figure_legend_completeness
structured_blocks = [
{
"paper_id": "K001", "page": 1, "block_id": "body1",
"role": "body_paragraph", "raw_role": "body_paragraph",
"text": "Figure 2 shows the results.",
"bbox": [50, 100, 550, 140],
"marker_signature": {"type": "figure_number", "number": 2},
},
]
inventory = {
"matched_figures": [],
"held_figures": [],
"ambiguous_figures": [],
"unmatched_legends": [],
}
result = compute_figure_legend_completeness(structured_blocks, inventory)
assert result["total"] == 0
assert result["gap_count"] == 0
# === strict-figure safety rules (Task 3) ===
def test_sequence_match_requires_at_least_one_asset_block_id() -> None:
"""A cluster with empty asset_block_ids must not be promoted to SEQUENCE_MATCH."""
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
# Fig 1: legend + asset on page 3 — direct match
{"block_id": 10, "role": "figure_caption",
"text": "Figure 1. Experimental setup for biomechanical testing.",
"page": 3, "bbox": [100, 700, 500, 720],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
{"block_id": 11, "role": "figure_asset",
"page": 3, "bbox": [100, 400, 500, 680]},
# Fig 2: legend on page 4, no asset — ambiguous (no_asset_match)
{"block_id": 12, "role": "figure_caption",
"text": "Figure 2. Histological analysis of tissue sections.",
"page": 4, "bbox": [100, 300, 500, 320],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
# Fig 3: legend + asset on page 5 — direct match
{"block_id": 13, "role": "figure_caption",
"text": "Figure 3. Gene expression analysis results.",
"page": 5, "bbox": [100, 300, 500, 320],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
{"block_id": 14, "role": "figure_asset",
"page": 5, "bbox": [100, 50, 500, 280]},
]
inventory = build_figure_inventory(blocks)
matched = inventory.get("matched_figures", [])
fig_numbers = {mf.get("figure_number") for mf in matched}
# Fig 2 should NOT be promoted — it has no assets
assert 2 not in fig_numbers, (
f"Fig 2 must NOT be promoted to SEQUENCE_MATCH without assets. "
f"Matched fig nums: {fig_numbers}"
)
# Fig 1 and Fig 3 should still be matched directly
assert 1 in fig_numbers
assert 3 in fig_numbers
def test_reader_figures_never_include_empty_visual_groups() -> None:
"""No reader figure may have an empty visual_groups list."""
from paperforge.worker.ocr_figure_reader import synthesize_reader_figures
from paperforge.worker.ocr_figures import build_figure_inventory
blocks = [
# Fig 1: legend + asset — direct match
{"block_id": 10, "role": "figure_caption",
"text": "Figure 1. Experimental setup.",
"page": 3, "bbox": [100, 700, 500, 720],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
{"block_id": 11, "role": "figure_asset",
"page": 3, "bbox": [100, 400, 500, 680]},
# Fig 2: legend only, no asset
{"block_id": 12, "role": "figure_caption",
"text": "Figure 2. Histological analysis.",
"page": 4, "bbox": [100, 300, 500, 320],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
# Fig 3: legend + asset — direct match
{"block_id": 13, "role": "figure_caption",
"text": "Figure 3. Gene expression results.",
"page": 5, "bbox": [100, 300, 500, 320],
"marker_signature": {"type": "figure_number"},
"zone": "body_zone", "style_family": "legend_like"},
{"block_id": 14, "role": "figure_asset",
"page": 5, "bbox": [100, 50, 500, 280]},
]
inventory = build_figure_inventory(blocks)
reader = synthesize_reader_figures(inventory, blocks)
for figure in reader.get("reader_figures", []):
vg = figure.get("visual_groups")
assert vg, (
f"Reader figure {figure.get('reader_figure_id')} has empty visual_groups: {figure}"
)