feat(sources): OpenAlex, SemanticScholar, arXiv API clients
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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codex/sources/arxiv.py
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100
codex/sources/arxiv.py
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"""arXiv API client.
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Provides:
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- fetch_source: download the .tar.gz source of a paper and extract the primary .tex file.
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- fetch_pdf_url: return the canonical PDF URL for a given arXiv ID.
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"""
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from __future__ import annotations
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import io
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import logging
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import tarfile
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import httpx
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logger = logging.getLogger(__name__)
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_BASE = "https://arxiv.org"
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def fetch_source(arxiv_id: str) -> str | None:
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"""Download and extract the primary LaTeX source for an arXiv paper.
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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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Parameters
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----------
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arxiv_id:
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The arXiv identifier (e.g. ``"2301.07041"``).
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Returns
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-------
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str | None
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Raw LaTeX source string, or None if the paper is not found or no .tex
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file is present (signals Nougat fallback).
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"""
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url = f"{_BASE}/src/{arxiv_id}"
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try:
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response = httpx.get(url, timeout=60, follow_redirects=True)
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except httpx.RequestError:
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raise
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if response.status_code == 404:
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logger.debug("arXiv 404 for source id=%s", arxiv_id)
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return None
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if response.status_code != 200:
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response.raise_for_status()
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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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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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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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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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return None # unreachable but satisfies type checker
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def fetch_pdf_url(arxiv_id: str) -> str:
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"""Return the canonical PDF URL for an arXiv paper.
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This is a pure computation — no HTTP request is made.
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Parameters
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----------
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arxiv_id:
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The arXiv identifier (e.g. ``"2301.07041"``).
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Returns
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-------
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str
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The full URL of the PDF file.
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"""
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return f"{_BASE}/pdf/{arxiv_id}.pdf"
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