FX-2: surface born-digital per-part marks from auto-map

The board grammar already parses per-part marks ([N marks] / "Total for Question
N is M marks"), but they were dropped building the first-pass template and the
row mapper hardcoded max_marks=0 — so every born-digital paper came back with
zero marks for a teacher to re-key by hand.

Thread the parsed mark through: bands.py derive_bands now carries each part's
`marks`, template.build passes it into part_bands, and _map_first_pass_to_rows
reads it via a defensive _safe_marks (non-negative int; unknown/None -> 0, so
image-only OCR — which has no marks yet — is unchanged). Containers still roll up
from parts. Adds test_auto_map_surfaces_born_digital_part_marks.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
This commit is contained in:
CC Worker
2026-07-02 21:30:28 +00:00
co-authored by Claude Opus 4.8
parent 6c73174829
commit cce46305c9
4 changed files with 32 additions and 2 deletions
+12 -1
View File
@@ -465,6 +465,17 @@ def _safe_confidence(value: Any = None) -> float:
return 0.75
def _safe_marks(value: Any = None) -> int:
"""Parsed per-part marks → a non-negative int; unknown/None → 0 (image-only OCR has no marks yet)."""
if isinstance(value, bool):
return 0
if isinstance(value, (int, float)):
return max(0, int(value))
if isinstance(value, str) and value.strip().isdigit():
return int(value.strip())
return 0
def _margin_values(first_pass: Dict[str, Any], page_number: int) -> Dict[str, Optional[float]]:
vals: Dict[str, Optional[float]] = {"left": None, "right": None, "top": None, "bottom": None}
for m in first_pass.get("margins") or []:
@@ -541,7 +552,7 @@ def _map_first_pass_to_rows(template_id: str, first_pass: Dict[str, Any], pdf_by
top = max(float(y1), float(y2)); bottom = min(float(y1), float(y2))
bounds = _box_to_canvas({"l": margins["left"], "r": margins["right"], "t": top, "b": bottom, "coord_origin": "BOTTOMLEFT"}, page_number, pages_geom)
bounds = bounds or _box_to_canvas(band.get("label_box"), page_number, pages_geom)
questions.append({"id": pid, "template_id": template_id, "parent_id": parent_id, "label": label, "order": len(questions), "max_marks": 0, "is_container": False, "bounds": bounds, "page": page_number, "source": "ai", "confirmed": False, "confidence": _safe_confidence(band.get("confidence")), "derivation": "docling-part-band-x-margins"})
questions.append({"id": pid, "template_id": template_id, "parent_id": parent_id, "label": label, "order": len(questions), "max_marks": _safe_marks(band.get("marks")), "is_container": False, "bounds": bounds, "page": page_number, "source": "ai", "confirmed": False, "confidence": _safe_confidence(band.get("confidence")), "derivation": "docling-part-band-x-margins"})
default_qid = questions[0]["id"] if questions else _ai_id(template_id, "question", "auto")
for page_key in sorted(pages_obj, key=lambda k: int(k)):