Add pipeline code

This commit is contained in:
Grok Bot
2026-10-17 15:27:14 -05:00
parent 3cd5a4c658
commit 5f0e2a9768
21 changed files with 1612 additions and 0 deletions
+65
View File
@@ -0,0 +1,65 @@
"""Recognize the non-text parts of a page: running header, page number, figure caption."""
import re
from difflib import SequenceMatcher
CAPTION_RE = re.compile(r"^\s*(LEFT|RIGHT|ABOVE|BELOW|OPPOSITE|FACING)\s*:\s*([A-Z][A-Z .,'\-]+?)\s*$")
_NUM_LEAD = re.compile(r"^\s*(\d{1,3})\s{2,}(\S.*)$")
_NUM_TRAIL = re.compile(r"^(.*\S)\s{2,}(\d{1,3})\s*$")
_NUM_ONLY = re.compile(r"^\s*(\d{1,3})\s*$")
def norm(text):
return re.sub(r"[^a-z]", "", text.lower())
def similar(a, b):
return SequenceMatcher(None, norm(a), norm(b)).ratio()
def header_zone(lines, title):
"""The running header at the top of a unit.
Returns (first_line, last_line_exclusive, page_number or None) or None.
A header is the first block of lines (up to a blank line) that either carries a page number
next to uppercase text, or reads as the book title."""
i = 0
while i < len(lines) and not lines[i].strip():
i += 1
j = i
while j < len(lines) and lines[j].strip():
j += 1
zone = lines[i:j]
if not zone:
return None
number, rest = None, []
for ln in zone:
m = _NUM_LEAD.match(ln) or None
if m and number is None:
number, rest = int(m.group(1)), rest + [m.group(2)]
continue
m = _NUM_TRAIL.match(ln)
if m and number is None:
number, rest = int(m.group(2)), rest + [m.group(1)]
continue
m = _NUM_ONLY.match(ln)
if m and number is None:
number = int(m.group(1))
continue
rest.append(ln)
text = " ".join(rest)
letters = [c for c in text if c.isalpha()]
mostly_upper = (not letters) or sum(c.isupper() for c in letters) / len(letters) > 0.7
if number is not None and mostly_upper and len(zone) <= 3:
return i, j, number
if title and similar(text, title) >= 0.9:
return i, j, None
return None
def footer_number(lines):
"""A lone page number as the last non-empty line. Returns (line_index, number) or None."""
k = len(lines) - 1
while k >= 0 and not lines[k].strip():
k -= 1
if k >= 0 and _NUM_ONLY.match(lines[k]):
return k, int(lines[k])
return None