feat(tex): section-aware multi-file .tex ingest (R-C)
Flatten multi-file arXiv LaTeX (\input/\include) in arxiv.fetch_source so the full body is assembled rather than just the primary file's include skeleton, and add section-aware chunking (tex.chunk_sections) so .tex chunks never span a \section boundary and are labelled by their real heading. The ingest .tex path now produces (section, chunk) pairs, quality-gated together so labels stay aligned; the stored 'section' column gains genuine signal instead of mostly 'body' (serves DQ-3 fidelity + audit R-12). Adds scripts/rc_tex_reingest.py to re-ingest arXiv papers from .tex (dry-run by default; replaces chunks). Tests: flatten_inputs, chunk_sections, multi-file fetch_source, section-label ingest, is_arxiv_id. Full suite 365 passed; ruff + mypy clean. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
@@ -12,7 +12,7 @@ from codex.config import get_settings
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from codex.db import get_conn
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from codex.embed import get_embedder
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from codex.models import Citation, Paper
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from codex.quality import classify_section, filter_chunks
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from codex.quality import classify_section, is_quality_chunk
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from codex.sources import arxiv, crossref, openalex, semanticscholar
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logger = logging.getLogger(__name__)
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@@ -262,17 +262,21 @@ def ingest_paper(
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if source_path is not None:
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from codex.parsing.grobid import extract_references
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from codex.parsing.nougat import pdf_to_markdown
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from codex.parsing.tex import chunk_text, latex_to_text
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from codex.parsing.tex import chunk_sections, chunk_text
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suffix = Path(source_path).suffix.lower()
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text = ""
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# (section_title | None, chunk_text) pairs. `.tex` is section-aware so
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# the stored `section` column reflects the real heading (R-C / R-12);
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# `.txt`/`.pdf` carry no section structure, so the title is None.
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raw_pairs: list[tuple[str | None, str]] = []
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if suffix == ".tex":
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text = latex_to_text(Path(source_path).read_text())
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raw_pairs = chunk_sections(Path(source_path).read_text())
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elif suffix == ".txt":
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text = Path(source_path).read_text(encoding="utf-8", errors="replace")
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raw_pairs = [(None, c) for c in chunk_text(text)]
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elif suffix == ".pdf":
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text = pdf_to_markdown(source_path)
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raw_pairs = [(None, c) for c in chunk_text(pdf_to_markdown(source_path))]
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# Also extract GROBID refs
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grobid_refs = extract_references(source_path)
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for ref in grobid_refs:
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@@ -287,24 +291,33 @@ def ingest_paper(
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else:
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logger.warning("Unbekannter Dateityp: %s — kein Text-Parsing", source_path)
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raw_chunks = chunk_text(text) if text else []
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chunks_text = filter_chunks(raw_chunks, settings=get_settings())
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# Quality-gate the pairs (keeps each chunk aligned with its section title).
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settings = get_settings()
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kept_pairs = [
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(title, content)
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for title, content in raw_pairs
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if is_quality_chunk(content, settings=settings)
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]
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# Delete existing chunks for this paper
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conn.execute("DELETE FROM chunks WHERE paper_id = %s", (paper.id,))
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if chunks_text:
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if kept_pairs:
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# Embed all chunks in one batch
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chunk_embeddings = embedder.encode_dense(chunks_text)
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chunk_contents = [content for _, content in kept_pairs]
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chunk_embeddings = embedder.encode_dense(chunk_contents)
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chunk_rows = [
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(
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paper.id,
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ord_idx,
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content,
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chunk_embeddings[ord_idx].tolist(),
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classify_section(content),
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# .tex: classify from the section heading (prepended to the
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# snippet) so the label reflects the real section; otherwise
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# fall back to content-only classification.
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classify_section(f"{title}. {content}" if title else content),
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)
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for ord_idx, content in enumerate(chunks_text)
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for ord_idx, (title, content) in enumerate(kept_pairs)
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]
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with conn.cursor() as cur:
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cur.executemany(
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@@ -17,6 +17,10 @@ _SECTION_RE = re.compile(
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re.DOTALL,
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)
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# \input{file} / \include{file} — arXiv papers routinely split the body across
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# files, so these must be inlined before parsing (R-C multi-file flattening).
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_INPUT_RE = re.compile(r"\\(?:input|include)\s*\{([^}]+)\}")
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# Patterns for LaTeX noise removal (applied in order).
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_COMMENT_RE = re.compile(r"%[^\n]*")
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_CITE_RE = re.compile(r"\\cite\*?\{[^}]*\}")
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@@ -157,3 +161,59 @@ def latex_to_text(latex: str) -> str:
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return "\n\n".join(body for _, body in sections)
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# Fallback: no section structure — clean the whole string.
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return _clean_latex(latex)
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def _norm_texkey(name: str) -> str:
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"""Normalize a tex file name / ``\\input`` argument to a comparable key.
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Strips a leading ``./``, any directory-irrelevant whitespace, and a trailing
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``.tex`` so ``\\input{sections/intro}`` matches the archive member
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``sections/intro.tex``.
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"""
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n = name.strip().lstrip("./")
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return n[:-4] if n.endswith(".tex") else n
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def flatten_inputs(primary: str, files: dict[str, str]) -> str:
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"""Recursively inline ``\\input``/``\\include`` directives (R-C).
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*files* maps each source file's archive name to its contents (keys may carry
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a ``.tex`` suffix or a ``./`` prefix — they are normalized internally). arXiv
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multi-file projects leave the ``\\documentclass`` file as little more than a
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skeleton of ``\\input`` lines, so the body must be assembled before parsing.
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Unresolved references are dropped; recursion is capped at depth 10 to guard
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against include cycles.
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"""
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norm = {_norm_texkey(k): v for k, v in files.items()}
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def _expand(text: str, depth: int) -> str:
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if depth > 10:
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return text
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def _repl(match: re.Match[str]) -> str:
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content = norm.get(_norm_texkey(match.group(1)))
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return _expand(content, depth + 1) if content is not None else ""
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return _INPUT_RE.sub(_repl, text)
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return _expand(primary, 0)
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def chunk_sections(latex: str, size: int = 512, overlap: int = 64) -> list[tuple[str | None, str]]:
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"""Chunk LaTeX *within* each section, pairing every chunk with its title.
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Unlike :func:`latex_to_text` (which discards titles and flattens the whole
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document into one block before word-window chunking), this keeps chunks from
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spanning section boundaries and remembers which ``\\section`` each came from.
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The caller can then label the stored ``section`` column from the real heading
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instead of mostly ``body`` (R-C / audit R-12). Falls back to title-less
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chunks of the whole cleaned document when there are no section commands.
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"""
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sections = extract_sections(latex)
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if not sections:
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return [(None, chunk) for chunk in chunk_text(_clean_latex(latex), size, overlap)]
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pairs: list[tuple[str | None, str]] = []
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for title, body in sections:
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for chunk in chunk_text(body, size, overlap):
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pairs.append((title or None, chunk))
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return pairs
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@@ -101,8 +101,9 @@ def fetch_source(arxiv_id: str) -> str | None:
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Downloads the .tar.gz source bundle from ``https://arxiv.org/src/{arxiv_id}``,
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locates the primary .tex file (preferring any file containing ``\\documentclass``,
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falling back to the largest .tex by size), and returns its contents as a UTF-8
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string.
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falling back to the largest .tex by size), and inlines its ``\\input``/
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``\\include`` directives from the other archive members so multi-file projects
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return the full document body, not just the primary file's include skeleton.
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Parameters
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----------
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@@ -126,33 +127,36 @@ def fetch_source(arxiv_id: str) -> str | None:
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if response.status_code != 200:
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response.raise_for_status()
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from codex.parsing.tex import flatten_inputs
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raw = response.content
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try:
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with tarfile.open(fileobj=io.BytesIO(raw), mode="r:gz") as tf:
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tex_members = [m for m in tf.getmembers() if m.name.endswith(".tex")]
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if not tex_members:
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logger.debug("No .tex files found in arXiv source for %s", arxiv_id)
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return None
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# Prefer the file containing \documentclass (primary document)
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primary: tarfile.TarInfo | None = None
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for member in tex_members:
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files: dict[str, str] = {}
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primary_name: str | None = None
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for member in tf.getmembers():
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if not member.name.endswith(".tex"):
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continue
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f = tf.extractfile(member)
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if f is None:
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continue
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content_bytes = f.read()
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if b"\\documentclass" in content_bytes:
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primary = member
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# Decode and return immediately — first match wins
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return content_bytes.decode("utf-8", errors="replace")
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content = f.read().decode("utf-8", errors="replace")
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files[member.name] = content
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# Prefer the \documentclass file as the primary document.
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if primary_name is None and "\\documentclass" in content:
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primary_name = member.name
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if primary is None:
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# Fallback: largest .tex by size
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largest = max(tex_members, key=lambda m: m.size)
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f = tf.extractfile(largest)
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if f is None:
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return None
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return f.read().decode("utf-8", errors="replace")
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if not files:
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logger.debug("No .tex files found in arXiv source for %s", arxiv_id)
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return None
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# No \documentclass anywhere → fall back to the largest .tex.
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if primary_name is None:
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primary_name = max(files, key=lambda k: len(files[k]))
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# Inline \input/\include so multi-file projects yield the full body,
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# not just the primary file's skeleton of include directives (R-C).
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return flatten_inputs(files[primary_name], files)
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except tarfile.TarError as exc:
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logger.warning("Failed to open tar archive for %s: %s", arxiv_id, exc)
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return None
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125
scripts/rc_tex_reingest.py
Normal file
125
scripts/rc_tex_reingest.py
Normal file
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"""R-C — re-ingest arXiv papers from LaTeX source (section-aware, higher fidelity).
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For each arXiv paper, download its source via :func:`codex.sources.arxiv.fetch_source`
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(multi-file ``\\input``/``\\include`` flattened), write it to a temp ``.tex``, and
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re-ingest through :func:`codex.ingest.ingest_paper`. The ``.tex`` ingest path is
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section-aware (:func:`codex.parsing.tex.chunk_sections`), so the stored ``section``
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column is labelled from real ``\\section`` headings instead of mostly ``body`` —
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serving DQ-3 (fidelity vs the OCR'd ``.txt``) and audit R-12 (weak ``section`` column).
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Only arXiv papers have downloadable source; DOI/journal papers and books are skipped.
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Re-ingest REPLACES the paper's chunks (DELETE + re-INSERT) — that is the intended R-C
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improvement (flattened ``.txt`` → clean ``.tex`` chunks). It is idempotent and
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**dry-run by default**; pass ``--write`` to mutate the live corpus.
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Usage
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-----
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# dry-run: list arXiv papers + source availability (no writes)
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PYTHONPATH=. python scripts/rc_tex_reingest.py
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# re-ingest every arXiv paper from .tex
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PYTHONPATH=. python scripts/rc_tex_reingest.py --write
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# one paper
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PYTHONPATH=. python scripts/rc_tex_reingest.py --only 2305.10988 --write
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Needs ``DATABASE_URL`` (Jetson tunnel) as documented in
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``docs/audit/DATA-QUALITY-2026-06-15.md``.
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"""
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from __future__ import annotations
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import argparse
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import logging
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import tempfile
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import psycopg
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import psycopg.rows
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from codex.db import get_conn
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from codex.ingest import ingest_paper
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from codex.sources import arxiv
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logger = logging.getLogger(__name__)
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def is_arxiv_id(paper_id: str) -> bool:
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"""Return True for arXiv ids (the only papers with downloadable LaTeX source).
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arXiv ids are modern (``2305.10988``) or legacy (``math/0603097``). DOIs start
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with ``10.``; OpenAlex W-ids start with ``W`` or an ``https://openalex.org/`` URL.
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"""
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p = (paper_id or "").strip()
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return bool(p) and not p.startswith("10.") and not p.startswith(("W", "https://"))
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def _section_dist(conn: psycopg.Connection[psycopg.rows.DictRow], paper_id: str) -> dict[str, int]:
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"""Return the section-label distribution for a paper's stored chunks."""
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rows = conn.execute(
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"SELECT coalesce(section, '(null)') AS s, count(*) AS n "
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"FROM chunks WHERE paper_id = %s GROUP BY 1 ORDER BY 2 DESC",
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(paper_id,),
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).fetchall()
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return {r["s"]: int(r["n"]) for r in rows}
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def main(argv: list[str] | None = None) -> int:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--only", default=None, help="restrict to a single arXiv id")
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parser.add_argument("--limit", type=int, default=None, help="cap number of papers")
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parser.add_argument(
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"--write", action="store_true", help="re-ingest into the live DB (default: dry-run)"
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)
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args = parser.parse_args(argv)
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logging.basicConfig(level=logging.INFO, format="%(levelname)s %(message)s")
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with get_conn() as conn:
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rows = conn.execute("SELECT id FROM papers ORDER BY id").fetchall()
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targets = [
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r["id"]
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for r in rows
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if is_arxiv_id(r["id"]) and (args.only is None or r["id"] == args.only)
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]
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if args.limit is not None:
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targets = targets[: args.limit]
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logger.info(
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"arXiv papers to process=%d | mode=%s",
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len(targets),
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"WRITE" if args.write else "DRY-RUN",
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)
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for pid in targets:
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try:
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src = arxiv.fetch_source(pid)
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except Exception as exc:
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logger.warning("%s: source fetch failed: %s", pid, exc)
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continue
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if not src:
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logger.warning("%s: no LaTeX source available — skipping", pid)
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continue
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if not args.write:
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logger.info("%s: source OK (%d chars)", pid, len(src))
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continue
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with get_conn() as conn:
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before = _section_dist(conn, pid)
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with tempfile.NamedTemporaryFile("w", suffix=".tex", delete=True) as tf:
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tf.write(src)
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tf.flush()
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res = ingest_paper(pid, source_path=tf.name)
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with get_conn() as conn:
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after = _section_dist(conn, pid)
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logger.info(
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"%s: chunks %d->%d | section before=%s after=%s",
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pid,
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sum(before.values()),
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res.chunks_upserted,
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before,
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after,
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)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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@@ -113,7 +113,8 @@ def test_ingest_paper_basic() -> None:
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def test_ingest_paper_source_tex(tmp_path: Any) -> None:
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"""``.tex`` source → latex_to_text, chunk_text, embed, chunks inserted in DB."""
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"""``.tex`` source → section-aware chunking; the stored ``section`` column is
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labelled from the real ``\\section`` heading, not the chunk body (R-C / R-12)."""
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tex_file = tmp_path / "paper.tex"
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tex_file.write_text(r"\section{Introduction} Hello world. This is a test paper.")
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@@ -123,16 +124,19 @@ def test_ingest_paper_source_tex(tmp_path: Any) -> None:
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mock_conn.executemany = MagicMock()
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mock_conn.commit = MagicMock()
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fake_chunks = ["chunk one text here.", "chunk two text here."]
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# (section title, chunk content) pairs from the section-aware chunker.
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section_pairs = [
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("Introduction", "Body of the introduction goes here."),
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("Proof of the Main Theorem", "Body of the proof goes here."),
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]
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with (
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patch("codex.ingest.openalex.fetch_paper", return_value=paper),
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patch("codex.ingest.openalex.fetch_citations", return_value=[]),
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patch("codex.ingest.get_embedder", return_value=_fake_embedder()),
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patch("codex.ingest.get_conn", side_effect=_make_conn_cm(mock_conn)),
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patch("codex.parsing.tex.latex_to_text", return_value="Hello world. Intro text."),
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patch("codex.parsing.tex.chunk_text", return_value=fake_chunks),
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patch("codex.ingest.filter_chunks", side_effect=lambda chunks, settings: chunks),
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patch("codex.parsing.tex.chunk_sections", return_value=section_pairs),
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patch("codex.ingest.is_quality_chunk", return_value=True),
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):
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result = ingest_paper(paper.id, source_path=str(tex_file))
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@@ -147,7 +151,10 @@ def test_ingest_paper_source_tex(tmp_path: Any) -> None:
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chunk_sql: str = chunk_insert_call[0][0]
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assert "INSERT INTO chunks" in chunk_sql
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assert result.chunks_upserted == len(fake_chunks)
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# Section label comes from the heading: "Introduction" → intro, "Proof of…" → proof.
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chunk_rows = chunk_insert_call[0][1]
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assert [row[4] for row in chunk_rows] == ["intro", "proof"]
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assert result.chunks_upserted == len(section_pairs)
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# ---------------------------------------------------------------------------
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@@ -183,7 +190,7 @@ def test_ingest_paper_source_pdf(tmp_path: Any) -> None:
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patch("codex.parsing.nougat.pdf_to_markdown", return_value="pdf markdown text."),
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patch("codex.parsing.tex.chunk_text", return_value=fake_chunks),
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patch("codex.parsing.grobid.extract_references", return_value=grobid_refs),
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patch("codex.ingest.filter_chunks", side_effect=lambda chunks, settings: chunks),
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patch("codex.ingest.is_quality_chunk", return_value=True),
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):
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result = ingest_paper(paper.id, source_path=str(pdf_file))
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@@ -237,7 +244,7 @@ def test_ingest_pdf_grobid_citations_normalize_doi(tmp_path: Any) -> None:
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patch("codex.parsing.nougat.pdf_to_markdown", return_value="pdf markdown text."),
|
||||
patch("codex.parsing.tex.chunk_text", return_value=["pdf chunk one."]),
|
||||
patch("codex.parsing.grobid.extract_references", return_value=grobid_refs),
|
||||
patch("codex.ingest.filter_chunks", side_effect=lambda chunks, settings: chunks),
|
||||
patch("codex.ingest.is_quality_chunk", return_value=True),
|
||||
):
|
||||
result = ingest_paper(paper.id, source_path=str(pdf_file))
|
||||
|
||||
|
||||
@@ -4,7 +4,13 @@ from __future__ import annotations
|
||||
|
||||
import pytest
|
||||
|
||||
from codex.parsing.tex import chunk_text, extract_sections, latex_to_text
|
||||
from codex.parsing.tex import (
|
||||
chunk_sections,
|
||||
chunk_text,
|
||||
extract_sections,
|
||||
flatten_inputs,
|
||||
latex_to_text,
|
||||
)
|
||||
|
||||
|
||||
class TestExtractSections:
|
||||
@@ -110,3 +116,50 @@ class TestLatexToText:
|
||||
result = latex_to_text(latex)
|
||||
assert r"\cite" not in result
|
||||
assert "%" not in result
|
||||
|
||||
|
||||
class TestFlattenInputs:
|
||||
def test_inlines_input_and_include(self) -> None:
|
||||
files = {
|
||||
"main.tex": r"Start \input{sec/intro} mid \include{proof} end",
|
||||
"sec/intro.tex": "INTRO BODY",
|
||||
"proof.tex": "PROOF BODY",
|
||||
}
|
||||
out = flatten_inputs(files["main.tex"], files)
|
||||
assert "INTRO BODY" in out
|
||||
assert "PROOF BODY" in out
|
||||
assert r"\input" not in out and r"\include" not in out
|
||||
|
||||
def test_resolves_without_tex_suffix(self) -> None:
|
||||
# \input{intro} must resolve the archive member "intro.tex".
|
||||
files = {"main.tex": r"\input{intro}", "intro.tex": "BODY"}
|
||||
assert "BODY" in flatten_inputs(files["main.tex"], files)
|
||||
|
||||
def test_recursive_includes(self) -> None:
|
||||
files = {"a.tex": r"X \input{b}", "b.tex": r"Y \input{c}", "c.tex": "Z"}
|
||||
out = flatten_inputs(files["a.tex"], files)
|
||||
assert "X" in out and "Y" in out and "Z" in out
|
||||
|
||||
def test_unresolved_input_dropped(self) -> None:
|
||||
# A reference with no matching file is removed, not left as a directive.
|
||||
out = flatten_inputs(r"A \input{missing} B", {})
|
||||
assert r"\input" not in out
|
||||
assert "A" in out and "B" in out
|
||||
|
||||
|
||||
class TestChunkSections:
|
||||
def test_pairs_carry_section_titles(self) -> None:
|
||||
latex = (
|
||||
r"\section{Introduction}" + "\nIntro body text here.\n"
|
||||
r"\section{Proof}" + "\nProof body text here.\n"
|
||||
)
|
||||
pairs = chunk_sections(latex)
|
||||
titles = [t for t, _ in pairs]
|
||||
assert "Introduction" in titles
|
||||
assert "Proof" in titles
|
||||
# No chunk spans a section boundary: each chunk belongs to one title.
|
||||
assert all(isinstance(c, str) and c for _, c in pairs)
|
||||
|
||||
def test_fallback_titleless_when_no_sections(self) -> None:
|
||||
pairs = chunk_sections("Plain text with no section commands at all here.")
|
||||
assert pairs and all(title is None for title, _ in pairs)
|
||||
|
||||
19
tests/scripts/test_rc_tex_reingest.py
Normal file
19
tests/scripts/test_rc_tex_reingest.py
Normal file
@@ -0,0 +1,19 @@
|
||||
"""Tests for scripts.rc_tex_reingest."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from scripts.rc_tex_reingest import is_arxiv_id
|
||||
|
||||
|
||||
def test_is_arxiv_id_accepts_modern_and_legacy() -> None:
|
||||
assert is_arxiv_id("2305.10988")
|
||||
assert is_arxiv_id("math/0603097")
|
||||
assert is_arxiv_id("1005.2698")
|
||||
|
||||
|
||||
def test_is_arxiv_id_rejects_dois_and_wids() -> None:
|
||||
assert not is_arxiv_id("10.1007/s00454-019-00132-8")
|
||||
assert not is_arxiv_id("10.14279/depositonce-20357")
|
||||
assert not is_arxiv_id("W2971636899")
|
||||
assert not is_arxiv_id("https://openalex.org/W2971636899")
|
||||
assert not is_arxiv_id("")
|
||||
@@ -53,6 +53,39 @@ def test_fetch_source_returns_latex(monkeypatch: pytest.MonkeyPatch) -> None:
|
||||
assert "Hello world" in result
|
||||
|
||||
|
||||
def test_fetch_source_flattens_multifile(monkeypatch: pytest.MonkeyPatch) -> None:
|
||||
"""Multi-file projects: \\input/\\include directives are inlined so the body
|
||||
from the included files is returned, not just the primary skeleton (R-C)."""
|
||||
main = (
|
||||
b"\\documentclass{article}\\begin{document}"
|
||||
b"\\input{sections/intro}\\include{proof}\\end{document}"
|
||||
)
|
||||
tar_bytes = _make_tar_gz(
|
||||
{
|
||||
"main.tex": main,
|
||||
"sections/intro.tex": b"INTRODUCTION BODY TEXT",
|
||||
"proof.tex": b"PROOF BODY TEXT",
|
||||
}
|
||||
)
|
||||
|
||||
def mock_get(
|
||||
url: str,
|
||||
*,
|
||||
timeout: int = 60,
|
||||
follow_redirects: bool = True,
|
||||
) -> httpx.Response:
|
||||
return httpx.Response(200, content=tar_bytes)
|
||||
|
||||
monkeypatch.setattr(httpx, "get", mock_get)
|
||||
|
||||
result = arxiv.fetch_source("2301.07041")
|
||||
|
||||
assert result is not None
|
||||
assert "INTRODUCTION BODY TEXT" in result # \input was inlined
|
||||
assert "PROOF BODY TEXT" in result # \include was inlined
|
||||
assert "\\input" not in result and "\\include" not in result
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# fetch_source — 404 → None
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
Reference in New Issue
Block a user