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0a55f0f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 | import os
import re
from pathlib import Path
import shutil
def read_tex(path: Path) -> str:
try:
return path.read_text(encoding="utf-8", errors="ignore")
except Exception:
return ""
def resolve_inputs(tex: str, base_dir: Path, seen=None) -> str:
"""
Recursively replace \\input{...} and \\include{...} with file contents.
"""
if seen is None:
seen = set()
pattern = r'\\(?:input|include)\{([^}]+)\}'
def repl(match):
name = match.group(1)
if not name.endswith(".tex"):
name += ".tex"
full = base_dir / name
if full in seen:
return f"% WARNING: skipped circular input {full}\n"
if not full.exists():
return f"% WARNING: missing file {full}\n"
seen.add(full)
content = read_tex(full)
return resolve_inputs(content, full.parent, seen)
return re.sub(pattern, repl, tex)
def find_main_tex(source_dir: Path) -> Path | None:
"""
Heuristic to find the main .tex file:
1. match .bbl → .tex
2. else top-level .tex that contains \\begin{document}
3. else first .tex in directory
"""
bbls = list(source_dir.glob("*.bbl"))
if bbls:
main_candidate = source_dir / (bbls[0].stem + ".tex")
if main_candidate.exists():
return main_candidate
for tex in source_dir.glob("*.tex"):
if "\\begin{document}" in read_tex(tex):
return tex
tex_files = list(source_dir.glob("*.tex"))
return tex_files[0] if tex_files else None
def preprocess_tex(source_dir: Path) -> Path | None:
"""
Given an extracted arXiv source directory, produce:
- a merged TeX file named 'processed_main.tex'
- a concatenated BibTeX file named 'references.bib'
Both are written in the parent directory of source_dir (the paper dir).
Then delete the extracted source_dir.
"""
main_tex = find_main_tex(source_dir)
if not main_tex:
print(f"[WARN] No main .tex found in {source_dir}")
shutil.rmtree(source_dir, ignore_errors=True)
return None
raw = read_tex(main_tex)
merged = resolve_inputs(raw, main_tex.parent)
paper_dir = source_dir.parent
out_tex_path = paper_dir / "processed_main.tex"
out_tex_path.write_text(merged, encoding="utf-8")
bib_files = list(source_dir.rglob("*.bib"))
if bib_files:
bib_texts = []
for bib in bib_files:
try:
bib_texts.append(bib.read_text(encoding="utf-8", errors="ignore"))
except Exception:
print(f"[WARN] Could not read bib file {bib}")
if bib_texts:
bib_out = paper_dir / "references.bib"
bib_out.write_text("\n\n".join(bib_texts), encoding="utf-8")
print(f"[INFO] Wrote combined BibTeX to {bib_out}")
shutil.rmtree(source_dir, ignore_errors=True)
return out_tex_path
def _load_tex(path: Path) -> str:
return path.read_text(encoding="utf-8", errors="ignore")
SECTION_PATTERN = re.compile(
r'\\section\*?\{([^}]*)\}',
flags=re.IGNORECASE
)
def _split_into_sections(tex: str):
"""
Returns a list of (section_title, content) in order.
Title is the raw LaTeX title text (without braces).
Content is the text from this \\section line up to (but not including)
the next \\section or end of document.
"""
sections = []
matches = list(SECTION_PATTERN.finditer(tex))
if not matches:
return sections
for i, m in enumerate(matches):
title = m.group(1).strip()
start = m.start()
end = matches[i + 1].start() if i + 1 < len(matches) else len(tex)
content = tex[start:end]
sections.append((title, content))
return sections
def _normalize_title(title: str) -> str:
"""Lowercase and strip punctuation-ish stuff for robust matching."""
t = title.lower()
t = re.sub(r'[^a-z0-9\s]', ' ', t)
t = re.sub(r'\s+', ' ', t).strip()
return t
def _find_best_section(sections, candidates):
"""
sections: list of (raw_title, content)
candidates: list of strings to match against normalized title
Returns the content of the best-matching section or None.
"""
norm_candidates = [c.lower() for c in candidates]
for raw_title, content in sections:
nt = _normalize_title(raw_title)
for cand in norm_candidates:
if nt == cand or cand in nt:
return content
return None
def extract_introduction_and_related(
processed_tex_path: Path,
out_dir: Path | None = None,
) -> dict:
"""
Given path to processed_main.tex, extract Introduction and Related Work sections
into separate .tex files.
Returns a dict with keys:
{
"introduction": Path | None,
"related_work": Path | None
}
"""
if out_dir is None:
out_dir = processed_tex_path.parent / "sections"
out_dir.mkdir(parents=True, exist_ok=True)
tex = _load_tex(processed_tex_path)
sections = _split_into_sections(tex)
intro_candidates = ["introduction"]
related_candidates = ["related work"]
intro_content = _find_best_section(sections, intro_candidates)
related_content = _find_best_section(sections, related_candidates)
results = {"introduction": None, "related_work": None}
if intro_content:
intro_path = out_dir / "introduction.tex"
intro_path.write_text(intro_content, encoding="utf-8")
results["introduction"] = intro_path
else:
print(f"[WARN] No Introduction section found in {processed_tex_path}")
if related_content:
rw_path = out_dir / "related_work.tex"
rw_path.write_text(related_content, encoding="utf-8")
results["related_work"] = rw_path
else:
print(f"[WARN] No Related Work section found in {processed_tex_path}")
return results
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