def _transform_latest(cls, document: Document) -> Optional[dict]:
latest = document.get('latest')
if latest is None:
return None
return {
"paper_id": latest,
"href": url_for("api.paper", paper_id=document['paper_id'],
version=document.get('latest_version'),
_external=True),
"canonical": url_for("abs", paper_id=document['paper_id'],
version=document.get('latest_version')),
"version": document.get('latest_version')
}
def _transform_latest(document: Document) -> Optional[Dict[str, str]]:
latest = document.get("latest")
if latest is None:
return None
return { # type:ignore
"paper_id": latest,
"href": url_for(
"api.paper",
paper_id=document["paper_id"],
version=document.get("latest_version"),
_external=True,
),
"canonical": url_for(
"abs",
paper_id=document["paper_id"],
version=document.get("latest_version"),
),
"version": document.get("latest_version"),
}
def transform_document(
cls,
fg: FeedGenerator,
doc: Document,
query: Optional[ClassicAPIQuery] = None,
) -> None:
"""Select a subset of :class:`Document` properties for public API."""
entry = fg.add_entry()
entry.id(
url_for(
"abs",
paper_id=doc["paper_id"],
version=doc["version"],
_external=True,
))
entry.title(doc["title"])
entry.summary(doc["abstract"])
entry.published(to_utc(doc["submitted_date"]))
entry.updated(to_utc(doc["updated_date"]))
entry.link({
"href":
url_for(
"abs",
paper_id=doc["paper_id"],
version=doc["version"],
_external=True,
),
"type":
"text/html",
})
entry.link({
"href":
url_for(
"pdf",
paper_id=doc["paper_id"],
version=doc["version"],
_external=True,
),
"type":
"application/pdf",
"rel":
"related",
"title":
"pdf",
})
if doc.get("comments"):
entry.arxiv.comment(doc["comments"])
if doc.get("journal_ref"):
entry.arxiv.journal_ref(doc["journal_ref"])
if doc.get("doi"):
entry.arxiv.doi(doc["doi"])
if doc["primary_classification"]["category"] is not None:
entry.arxiv.primary_category(
doc["primary_classification"]["category"]["id"])
entry.category(
term=doc["primary_classification"]["category"]["id"],
scheme=ARXIV_NS,
)
for category in doc["secondary_classification"]:
entry.category(term=category["category"]["id"], scheme=ARXIV_NS)
for author in doc["authors"]:
author_data: Dict[str, Any] = {"name": author["full_name"]}
if author.get("affiliation"):
author_data["affiliation"] = author["affiliation"]
entry.arxiv.author(author_data)