"""Discovery queries over the citation graph stored in PostgreSQL.""" from __future__ import annotations from codex.db import get_conn def discovery_leads(limit: int = 20) -> list[dict[str, int | str]]: """Return papers referenced by already-ingested papers but not yet collected. Returns list of dicts with keys: cited_id (str) — arXiv ID, DOI, or OpenAlex W-ID of the target pull (int) — how many already-ingested papers cite this target Ordered by pull DESC, limited to `limit` rows. """ sql = """ SELECT cited_id, count(*) AS pull FROM citations WHERE cited_id NOT IN (SELECT id FROM papers) GROUP BY cited_id ORDER BY pull DESC LIMIT %(limit)s """ with get_conn() as conn: rows = conn.execute(sql, {"limit": limit}).fetchall() return [{"cited_id": row["cited_id"], "pull": row["pull"]} for row in rows] def citing_papers(paper_id: str) -> list[str]: """Return IDs of all papers that cite `paper_id` (in-graph reverse citations).""" sql = "SELECT citing_id FROM citations WHERE cited_id = %(paper_id)s" with get_conn() as conn: rows = conn.execute(sql, {"paper_id": paper_id}).fetchall() return [row["citing_id"] for row in rows] def cited_by(paper_id: str) -> list[str]: """Return IDs of all papers that `paper_id` cites (forward citations).""" sql = "SELECT cited_id FROM citations WHERE citing_id = %(paper_id)s" with get_conn() as conn: rows = conn.execute(sql, {"paper_id": paper_id}).fetchall() return [row["cited_id"] for row in rows] def cocited_papers(paper_id: str, limit: int = 10) -> list[dict[str, int | str]]: """Return papers frequently co-cited with `paper_id`. A paper X is co-cited with `paper_id` if some paper cites both. Returns list of dicts: {paper_id: str, co_citations: int}, ordered DESC. """ sql = """ SELECT c2.cited_id AS paper_id, count(*) AS co_citations FROM citations c1 JOIN citations c2 ON c1.citing_id = c2.citing_id WHERE c1.cited_id = %(paper_id)s AND c2.cited_id != %(paper_id)s GROUP BY c2.cited_id ORDER BY co_citations DESC LIMIT %(limit)s """ with get_conn() as conn: rows = conn.execute(sql, {"paper_id": paper_id, "limit": limit}).fetchall() return [{"paper_id": row["paper_id"], "co_citations": row["co_citations"]} for row in rows]