merge: reconcile data-quality roadmap with audit-remediation main (#12-15)

Resolved 4 conflicts: cli.py (R-D citing-coverage warning + main's small-corpus JSON/hub-title changes both kept); ingest.py (C-7 paper.id=caller-id pin first, then DQ-2 abstract recovery); test_ingest.py + test_openalex.py (kept both branches' tests).

C-7/DQ-5 overlap (both canonicalise papers.id): kept both layers — openalex._canonical_id normalizes fetch_paper's id (DQ-5); ingest pins papers.id to the caller's bare id (C-7); they converge on the bare canonical id. Fixed the auto-merged test_fetch_paper_success that had contradictory bare/URL assertions. 402 tests pass; ruff + mypy clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Tarik Moussa
2026-06-22 15:11:26 +02:00
29 changed files with 900 additions and 193 deletions

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@@ -5,6 +5,12 @@
# Example: postgresql://researcher:change_me@localhost:5432/papers
DATABASE_URL=postgresql://researcher:change_me@localhost:5432/papers
# Optional: privileged connection used by `codex migrate` to apply schema DDL.
# The app DATABASE_URL is often a least-privilege DML role that cannot CREATE/
# ALTER owner-held tables; point this at an owner/superuser connection.
# Falls back to DATABASE_URL when unset.
# MIGRATION_DATABASE_URL=postgresql://postgres:change_me@localhost:5432/papers
# GROBID service base URL (containerised — see infra/docker-compose.yml)
GROBID_URL=http://localhost:8070

View File

@@ -19,13 +19,11 @@ $EDITOR .env
# 3. Install Python dependencies (requires uv)
uv sync
# 4. Apply the database schema (first run only)
uv run python -c "
from codex.db import get_conn, apply_schema
with get_conn() as conn:
apply_schema(conn)
print('Schema applied.')
"
# 4. Apply the database schema (idempotent — safe to re-run after upgrades)
# Needs a role that can run DDL. If DATABASE_URL is a least-privilege app
# role, point MIGRATION_DATABASE_URL at an owner/superuser connection first:
# MIGRATION_DATABASE_URL=postgresql://postgres:...@host:5432/papers
uv run codex migrate
```
---
@@ -34,7 +32,8 @@ print('Schema applied.')
| Variable | Default | Description |
|---|---|---|
| `DATABASE_URL` | `postgresql://researcher:change_me@localhost:5432/papers` | libpq connection string |
| `DATABASE_URL` | `postgresql://researcher:change_me@localhost:5432/papers` | libpq connection string (app role; DML) |
| `MIGRATION_DATABASE_URL` | *(falls back to `DATABASE_URL`)* | Privileged connection used by `codex migrate` for schema DDL (owner/superuser) |
| `GROBID_URL` | `http://localhost:8070` | GROBID HTTP API base URL |
| `OLLAMA_BASE_URL` | `http://localhost:11434` | Local Ollama endpoint (optional) |
| `EMBEDDING_MODEL` | `BAAI/bge-m3` | sentence-transformers model name |

View File

@@ -29,6 +29,37 @@ app.add_typer(graph_app, name="graph")
app.add_typer(search_app, name="search")
@app.command()
def migrate() -> None:
"""Apply infra/schema.sql to bring the database schema up to date (idempotent).
Must connect as a role that can run DDL (owns / can CREATE + ALTER the tables).
The application's DATABASE_URL is usually a least-privilege DML role and will
fail with InsufficientPrivilege; set MIGRATION_DATABASE_URL to a privileged
(owner/superuser) connection (audit M-1).
"""
import psycopg
import psycopg.rows
from codex.config import get_settings
from codex.db import apply_schema
settings = get_settings()
url = (settings.migration_database_url or settings.database_url).get_secret_value()
try:
with psycopg.connect(url, row_factory=psycopg.rows.dict_row) as conn:
apply_schema(conn)
except psycopg.errors.InsufficientPrivilege as exc:
typer.echo(
"ERROR: schema migration needs a role that owns the tables "
"(CREATE/ALTER). Set MIGRATION_DATABASE_URL to a privileged connection "
f"and retry. ({exc})",
err=True,
)
raise typer.Exit(1) from exc
typer.echo("Schema applied — database is up to date.")
@app.command()
def ingest(
paper_id: str = typer.Argument(..., help="arXiv ID, DOI, or OpenAlex W-ID"),
@@ -71,7 +102,8 @@ def search_paper(
cite_boost: bool = typer.Option(
False,
"--cite-boost",
help="Weight results by citation PageRank (F-15). Graceful when corpus < 5 papers.",
help="Re-rank the top results by citation PageRank — a within-page "
"tie-breaker, not a hard re-ranking (F-15). Graceful when corpus < 5 papers.",
),
) -> None:
"""Semantic similarity search over paper abstracts."""
@@ -157,6 +189,24 @@ def discover_leads(
typer.echo(f"{item['pull']:>4}× {item['cited_id']}")
@discover_app.command("recommend")
def discover_recommend(
paper_id: str = typer.Argument(
..., help="Semantic Scholar paper ID (or arXiv:/DOI: prefixed)."
),
limit: int = typer.Option(20, "--limit", "-n", help="Number of recommendations."),
) -> None:
"""Recommended papers for PAPER_ID via Semantic Scholar."""
from codex.sources.semanticscholar import fetch_recommendations
rec = fetch_recommendations(paper_id, limit=limit)
if not rec:
typer.echo(f"No recommendations found for {paper_id}.")
return
for pid in rec:
typer.echo(pid)
@discover_app.command("citing")
def discover_citing(paper_id: str = typer.Argument(...)) -> None:
"""List papers that cite PAPER_ID."""
@@ -391,7 +441,15 @@ def synthesis_leads(
"--lib-path",
help=(
"Path to a C++ source tree. Enables improvement leads (@cite-aware) and "
"code-vs-corpus gap detection. Without it only connection + topic gaps run."
"code-vs-corpus gap detection."
),
),
topic: list[str] | None = typer.Option( # noqa: B008
None,
"--topic",
help=(
"Topic to check for coverage gaps (repeatable). Opt-in: without --topic "
"no coverage-map gaps run (avoids per-paper false positives, audit R-8)."
),
),
output_dir: Optional[str] = typer.Option( # noqa: UP045
@@ -413,7 +471,7 @@ def synthesis_leads(
llm = default_llm_client()
connections = find_connections(top_k=settings.synthesis_top_k, llm=llm)
gaps = find_gaps(lib_path=lib_path, llm=llm)
gaps = find_gaps(lib_path=lib_path, llm=llm, topics=topic or None)
improvements = (
find_improvements(lib_path, top_k=settings.synthesis_top_k, llm=llm) if lib_path else []
)
@@ -548,7 +606,9 @@ def graph_report(
settings = get_settings()
with get_conn() as conn:
graph = build_citation_graph(conn)
known_ids = {row["id"] for row in conn.execute("SELECT id FROM papers").fetchall()}
paper_rows = conn.execute("SELECT id, title FROM papers").fetchall()
known_ids = {row["id"] for row in paper_rows}
titles = {row["id"]: row["title"] for row in paper_rows}
if graph.number_of_nodes() == 0:
typer.echo("Citation graph is empty — ingest some papers first.")
@@ -560,6 +620,13 @@ def graph_report(
dangling = sorted(dangling_citations(graph, known_ids))
n_citing, _ = citing_coverage(graph, known_ids)
coverage = n_citing / n_papers if n_papers else 0.0
small_corpus = n_papers < settings.graph_min_corpus_size
warning = (
f"only {n_papers} ingested papers; recommended >= {settings.graph_min_corpus_size} "
"for meaningful ranking"
if small_corpus
else None
)
if output_json:
typer.echo(
@@ -572,7 +639,11 @@ def graph_report(
"papers": n_papers,
"fraction": round(coverage, 4),
},
"hubs": [{"paper_id": pid, "pagerank": score} for pid, score in hubs],
"small_corpus_warning": warning, # null unless below threshold (audit U-3)
"hubs": [
{"paper_id": pid, "title": titles.get(pid), "pagerank": score}
for pid, score in hubs
],
"dangling_count": len(dangling),
"dangling": dangling,
},
@@ -581,12 +652,8 @@ def graph_report(
)
return
if n_papers < settings.graph_min_corpus_size:
typer.echo(
f"Warning: only {n_papers} ingested papers "
f"(recommended ≥ {settings.graph_min_corpus_size} for meaningful ranking).",
err=True,
)
if warning:
typer.echo(f"Warning: {warning}.", err=True)
# R-D: low citing-paper coverage starves PageRank/coupling even at a healthy
# paper count — warn on the share of papers that actually have out-edges.
if coverage < settings.graph_min_citing_coverage:
@@ -602,7 +669,9 @@ def graph_report(
typer.echo(f"TOP-{top_n} HUB PAPERS (PageRank)")
typer.echo("-" * 48)
for pid, score in hubs:
typer.echo(f" {score:.4f} {pid}")
# in-KB hubs show their title; dangling (OpenAlex-id) hubs are flagged (U-1)
label = titles.get(pid) or "(dangling — not ingested)"
typer.echo(f" {score:.4f} {pid} {label}")
typer.echo("")
typer.echo(f"DANGLING CITATIONS ({len(dangling)} cited but not ingested)")
typer.echo("-" * 48)
@@ -635,3 +704,23 @@ def graph_related(
)
for pid in related:
typer.echo(f" {pid}")
@graph_app.command("cocited")
def graph_cocited(
paper_id: str = typer.Argument(..., help="Paper ID to find co-cited papers for."),
) -> None:
"""List papers frequently co-cited with PAPER_ID (graph co-citation)."""
from codex.db import get_conn
from codex.graph import build_citation_graph, find_co_cited
with get_conn() as conn:
graph = build_citation_graph(conn)
results = find_co_cited(paper_id, graph)
if not results:
typer.echo(f"No papers co-cited with {paper_id}.")
return
typer.echo(f"Papers co-cited with {paper_id} (count desc):")
for pid, count in results:
typer.echo(f" {count:>3}× {pid}")

View File

@@ -9,7 +9,7 @@ from __future__ import annotations
from functools import lru_cache
from pydantic import AliasChoices, Field
from pydantic import AliasChoices, Field, SecretStr
from pydantic_settings import BaseSettings, SettingsConfigDict
@@ -26,14 +26,25 @@ class Settings(BaseSettings):
# ------------------------------------------------------------------
# Database
# ------------------------------------------------------------------
database_url: str = Field(
default="postgresql://researcher:change_me@localhost:5432/papers",
database_url: SecretStr = Field(
default=SecretStr("postgresql://researcher:change_me@localhost:5432/papers"),
description=(
"libpq-compatible connection string consumed by psycopg. "
"Example: postgresql://user:pass@host:5432/dbname"
),
)
migration_database_url: SecretStr | None = Field(
default=None,
description=(
"Optional privileged connection string used by `codex migrate` to apply "
"schema DDL. The app's database_url is typically a least-privilege DML "
"role that cannot CREATE/ALTER owner-held tables (raises "
"InsufficientPrivilege); point this at an owner/superuser connection. "
"Falls back to database_url when unset."
),
)
# ------------------------------------------------------------------
# External services
# ------------------------------------------------------------------
@@ -137,7 +148,7 @@ class Settings(BaseSettings):
# ------------------------------------------------------------------
# F-09 Rich Parsing
# ------------------------------------------------------------------
mathpix_app_id: str | None = Field(
mathpix_app_id: SecretStr | None = Field(
default=None,
description=(
"MathPix App ID for cloud formula extraction. "
@@ -145,7 +156,7 @@ class Settings(BaseSettings):
),
)
mathpix_app_key: str | None = Field(
mathpix_app_key: SecretStr | None = Field(
default=None,
description=(
"MathPix App Key for cloud formula extraction. "
@@ -246,7 +257,7 @@ class Settings(BaseSettings):
description="Bind port for HTTP transport (ignored for stdio).",
)
mcp_auth_token: str | None = Field(
mcp_auth_token: SecretStr | None = Field(
default=None,
description=(
"Bearer token required when mcp_transport='http'. "
@@ -295,7 +306,8 @@ class Settings(BaseSettings):
le=1.0,
description=(
"Weight of the PageRank citation-boost in hybrid search. "
"Final score = dense_score * (1 + alpha * pagerank_score). "
"boosted_distance = distance / (1 + alpha * pagerank_score) — dividing "
"lowers the cosine distance of high-PageRank papers (lower = closer). "
"Set to 0.0 to disable the boost without removing the flag."
),
)

View File

@@ -36,7 +36,7 @@ def get_conn() -> Generator[psycopg.Connection[psycopg.rows.DictRow], None, None
"""
settings = get_settings()
with psycopg.connect(
settings.database_url,
settings.database_url.get_secret_value(),
row_factory=psycopg.rows.dict_row,
) as conn:
yield conn
@@ -45,11 +45,16 @@ def get_conn() -> Generator[psycopg.Connection[psycopg.rows.DictRow], None, None
def apply_schema(conn: psycopg.Connection[psycopg.rows.DictRow]) -> None:
"""Idempotently apply ``infra/schema.sql`` to the connected database.
Safe to call on every startup — all DDL statements use
``CREATE … IF NOT EXISTS``.
Safe to call repeatedly — every statement is ``CREATE … IF NOT EXISTS`` or
``ADD COLUMN IF NOT EXISTS``, so re-application is a no-op.
Requires a connection whose role can run DDL (owns / can CREATE + ALTER the
tables). The least-privilege application role is typically DML-only and will
raise ``InsufficientPrivilege``; use a privileged connection — see
``codex migrate`` and ``MIGRATION_DATABASE_URL`` (audit M-1).
Args:
conn: An open psycopg connection (obtained via :func:`get_conn`).
conn: An open psycopg connection with DDL privileges.
"""
schema_path = Path(__file__).parent.parent / "infra" / "schema.sql"
sql = schema_path.read_text(encoding="utf-8")

View File

@@ -1,22 +1,32 @@
"""Discovery queries over the citation graph stored in PostgreSQL."""
"""Discovery queries over the citation graph stored in PostgreSQL.
Every query resolves ``citations.cited_id`` to a canonical ``papers.id`` through
the shared :data:`codex.graph.RESOLVED_CITATIONS_SQL`, so this module and the
citation-graph layer agree on what counts as "ingested". Previously this module
compared the raw OpenAlex ``cited_id`` against ``papers.id`` (a DOI/arXiv id),
which mis-reported already-ingested papers as discovery leads (audit C-1).
"""
from __future__ import annotations
from codex.db import get_conn
from codex.graph import RESOLVED_CITATIONS_SQL
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
cited_id (str) — canonical id of the referenced (not-yet-ingested) work
pull (int) — how many already-ingested papers cite this target
Ordered by pull DESC, limited to `limit` rows.
Ordered by pull DESC, limited to `limit` rows. References that resolve to a
paper already in the corpus are excluded — they are not leads.
"""
sql = """
sql = f"""
WITH resolved AS ({RESOLVED_CITATIONS_SQL})
SELECT cited_id, count(*) AS pull
FROM citations
FROM resolved
WHERE cited_id NOT IN (SELECT id FROM papers)
GROUP BY cited_id
ORDER BY pull DESC
@@ -29,7 +39,10 @@ def discovery_leads(limit: int = 20) -> list[dict[str, int | str]]:
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"
sql = f"""
WITH resolved AS ({RESOLVED_CITATIONS_SQL})
SELECT citing_id FROM resolved 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]
@@ -37,7 +50,10 @@ def citing_papers(paper_id: str) -> list[str]:
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"
sql = f"""
WITH resolved AS ({RESOLVED_CITATIONS_SQL})
SELECT cited_id FROM resolved 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]
@@ -49,10 +65,11 @@ def cocited_papers(paper_id: str, limit: int = 10) -> list[dict[str, int | str]]
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 = """
sql = f"""
WITH resolved AS ({RESOLVED_CITATIONS_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
FROM resolved c1
JOIN resolved 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

View File

@@ -1,4 +1,4 @@
"""Hybrid dense + sparse embeddings via BGE-M3 (ADR-0002).
"""Dense (+ optional sparse) embeddings via BGE-M3 (ADR-0002).
Uses :class:`FlagEmbedding.BGEM3FlagModel` for encoding because the
``return_dense`` / ``return_sparse`` kwargs are part of the FlagEmbedding
@@ -7,6 +7,11 @@ vanilla ``SentenceTransformer`` load of ``BAAI/bge-m3`` (same weights,
same model); sparse output is a list of ``{token_id: weight}`` dicts per
text.
Status: only the **dense** path is wired into ingest/search today; the search
"hybrid" is dense + Postgres FTS. :meth:`Embedder.encode_sparse` / :meth:`encode`
are provided for a future sparse-retrieval layer but are not yet consumed by the
pipeline (audit C-14).
Notes for callers
-----------------
* Empty input is handled explicitly — no model call is issued.

View File

@@ -23,6 +23,23 @@ logger = logging.getLogger(__name__)
_MIN_PAGERANK_NODES = 5
# Single source of truth for resolving ``citations.cited_id`` to a canonical
# paper id. ``cited_id`` stores OpenAlex IDs while ``papers.id`` stores DOIs /
# arXiv ids, so an in-KB reference cited by its OpenAlex id does not match
# ``papers.id`` directly. This resolves it to the canonical ``papers.id`` (via
# ``papers.openalex_id``, then the ``paper_identifiers`` alias table); dangling
# references keep their raw id. Both :func:`build_citation_graph` and
# :mod:`codex.discover` query through this so the "what counts as ingested" rule
# cannot drift between them again (audit C-1). Trusted constant — no user input.
RESOLVED_CITATIONS_SQL = """
SELECT c.citing_id,
COALESCE(p.id, pi.paper_id, c.cited_id) AS cited_id
FROM citations c
LEFT JOIN papers p ON p.openalex_id = c.cited_id
LEFT JOIN paper_identifiers pi
ON pi.openalex_id = c.cited_id AND p.id IS NULL
"""
def build_citation_graph(conn: Any) -> nx.DiGraph:
"""Load the ``citations`` table into a directed graph.
@@ -45,15 +62,7 @@ def build_citation_graph(conn: Any) -> nx.DiGraph:
-------
nx.DiGraph with every (citing_id, cited_id) pair as an edge.
"""
rows = conn.execute(
"""
SELECT c.citing_id, COALESCE(p.id, pi.paper_id, c.cited_id) AS cited_id
FROM citations c
LEFT JOIN papers p ON p.openalex_id = c.cited_id
LEFT JOIN paper_identifiers pi
ON pi.openalex_id = c.cited_id AND p.id IS NULL
"""
).fetchall()
rows = conn.execute(RESOLVED_CITATIONS_SQL).fetchall()
g: nx.DiGraph = nx.DiGraph()
for row in rows:
g.add_edge(row["citing_id"], row["cited_id"])

View File

@@ -7,6 +7,7 @@ from dataclasses import dataclass
from pathlib import Path
import numpy as np
import psycopg
from codex.config import get_settings
from codex.db import get_conn
@@ -205,9 +206,18 @@ def ingest_paper(
if paper is None:
raise ValueError(f"Paper not found: {paper_id}")
# Canonical identity is the caller-supplied id — what the CLI / ingest scripts
# use and what papers.id is contracted to hold (arXiv id or DOI). OpenAlex's
# fetch_paper fills paper.id with the URL-form doi/id (audit C-7); since DQ-5
# `openalex._canonical_id` already normalizes that to the bare form, this pin
# is belt-and-suspenders and keeps re-ingest idempotent regardless. The
# OpenAlex work id is retained as openalex_id and in paper_identifiers.
paper.id = paper_id.strip()
# DQ-2: OpenAlex often has the paper but no abstract (it cannot redistribute
# some publishers' abstracts). Supplement from S2, then Crossref, so the
# paper gets a real (non-zero) abstract embedding instead of a zero vector.
# some publishers' abstracts). Supplement from S2, then Crossref (uses the
# canonical paper.id set above), so the paper gets a real (non-zero) abstract
# embedding instead of a zero vector.
if not (paper.abstract or "").strip():
recovered = _recover_abstract(paper)
if recovered:
@@ -232,9 +242,7 @@ def ingest_paper(
# ---------------------------------------------------------------
# 3. Upsert paper (INSERT … ON CONFLICT (id) DO UPDATE SET …)
# ---------------------------------------------------------------
with get_conn() as conn:
conn.execute(
"""
upsert_sql = """
INSERT INTO papers (id, openalex_id, bibkey, title, authors, year, abstract,
source_path, abstract_emb)
VALUES (%(id)s, %(openalex_id)s, %(bibkey)s, %(title)s, %(authors)s, %(year)s,
@@ -248,7 +256,16 @@ def ingest_paper(
abstract = EXCLUDED.abstract,
source_path = COALESCE(EXCLUDED.source_path, papers.source_path),
abstract_emb = EXCLUDED.abstract_emb
""",
"""
with get_conn() as conn:
# The id-keyed upsert does not catch a papers.bibkey UNIQUE collision (two
# same-author/year papers generate the same key). On such a collision retry
# with an a/b/c… suffix instead of failing the whole ingest (audit C-15).
base_bibkey = paper.bibkey
for attempt in range(27):
try:
conn.execute(
upsert_sql,
{
"id": paper.id,
"openalex_id": paper.openalex_id,
@@ -261,6 +278,28 @@ def ingest_paper(
"abstract_emb": abstract_emb,
},
)
break
except psycopg.errors.UniqueViolation as exc:
msg = str(exc).lower()
conn.rollback()
if "openalex" in msg:
# Two different papers.id claim the same OpenAlex work — a real data
# conflict, not something to auto-rename. Surface it clearly instead
# of the raw psycopg error (companion gap to C-15's bibkey case).
raise ValueError(
f"openalex_id {paper.openalex_id!r} is already attached to a "
f"different paper; ingesting '{paper.id}' would duplicate it — "
"resolve the conflicting paper first."
) from exc
if base_bibkey is None or "bibkey" not in msg or attempt == 26:
raise
paper.bibkey = f"{base_bibkey}{chr(ord('a') + attempt)}"
logger.warning(
"bibkey %r already exists; ingesting '%s' as %r instead",
base_bibkey,
paper.id,
paper.bibkey,
)
# Register openalex_id in paper_identifiers (alias table).
# Every ingest records the primary openalex_id so the graph JOIN
@@ -429,7 +468,10 @@ def ingest_paper(
VALUES (%s, %s, %s, %s, %s)
""",
[
(f.paper_id, f.page, f.raw_latex, f.context, f.eq_label)
# paper.id, not f.paper_id: the extractor derives its
# paper_id from the PDF filename stem, which need not match
# papers.id and would violate the FK (audit C-10).
(paper.id, f.page, f.raw_latex, f.context, f.eq_label)
for f in formulas
],
)
@@ -443,7 +485,8 @@ def ingest_paper(
VALUES (%s, %s, %s, %s)
""",
[
(fig.paper_id, fig.page, fig.caption, fig.image_path)
# paper.id, not fig.paper_id (filename stem) — see C-10 above.
(paper.id, fig.page, fig.caption, fig.image_path)
for fig in figures
],
)

View File

@@ -24,6 +24,7 @@ Transport
from __future__ import annotations
import logging
import secrets
from mcp.server.fastmcp import FastMCP
from mcp.server.transport_security import TransportSecuritySettings
@@ -121,7 +122,6 @@ def wiki_read(concept_slug: str) -> dict[str, object]:
directory or the requested page does not exist.
"""
try:
import json
from pathlib import Path
from codex.config import get_settings
@@ -135,16 +135,12 @@ def wiki_read(concept_slug: str) -> dict[str, object]:
markdown = page_path.read_text(encoding="utf-8")
# Collect cited bibkeys from the compile state
state_path = wiki_dir / ".compile-state.json"
sources: list[str] = []
if state_path.exists():
try:
state: dict[str, str] = json.loads(state_path.read_text(encoding="utf-8"))
if concept_slug in state:
sources = [concept_slug]
except (json.JSONDecodeError, OSError):
pass
# Collect the actual cited bibkeys from the page's inline [BibKey #loc]
# citations (audit C-3: this previously returned the concept slug itself,
# not the cited sources).
from codex.wiki import _parse_claims
sources = sorted({claim.bibkey for claim in _parse_claims(markdown)})
return {"markdown": markdown, "sources": sources}
except Exception as exc: # noqa: BLE001
@@ -298,12 +294,13 @@ def _require_http_token() -> str:
from codex.config import get_settings
settings = get_settings()
if not settings.mcp_auth_token:
token = settings.mcp_auth_token.get_secret_value() if settings.mcp_auth_token else ""
if not token:
raise RuntimeError(
"HTTP transport requires MCP_AUTH_TOKEN to be set. "
"Set the environment variable or add it to .env."
)
return settings.mcp_auth_token
return token
# ---------------------------------------------------------------------------
@@ -337,7 +334,9 @@ def main() -> None:
self, request: Request, call_next: RequestResponseEndpoint
) -> Response:
auth = request.headers.get("Authorization", "")
if auth != f"Bearer {token}":
# Constant-time comparison to avoid a token-length/equality timing
# side-channel (audit S-2).
if not secrets.compare_digest(auth, f"Bearer {token}"):
return Response("Unauthorized", status_code=401)
return await call_next(request)

View File

@@ -302,8 +302,10 @@ def extract_formulas(
"""
settings = get_settings()
app_id = mathpix_app_id or settings.mathpix_app_id or ""
app_key = mathpix_app_key or settings.mathpix_app_key or ""
settings_id = settings.mathpix_app_id.get_secret_value() if settings.mathpix_app_id else ""
settings_key = settings.mathpix_app_key.get_secret_value() if settings.mathpix_app_key else ""
app_id = mathpix_app_id or settings_id
app_key = mathpix_app_key or settings_key
if app_id and app_key:
logger.info("Using MathPix backend for %s", pdf_path)

View File

@@ -118,10 +118,7 @@ def fetch_source(arxiv_id: str) -> str | None:
file is present (signals Nougat fallback).
"""
url = f"{_BASE}/src/{arxiv_id}"
try:
response = httpx.get(url, timeout=60, follow_redirects=True)
except httpx.RequestError:
raise
if response.status_code == 404:
logger.debug("arXiv 404 for source id=%s", arxiv_id)
return None

View File

@@ -14,6 +14,7 @@ import logging
import threading
import time
from typing import Any
from urllib.parse import quote
import httpx
from tenacity import retry, retry_if_exception, stop_after_attempt, wait_exponential
@@ -77,7 +78,9 @@ def fetch_references(paper_id: str) -> list[Citation]:
list[Citation]
One Citation per reference, with optional context snippet.
"""
url = f"{_BASE_GRAPH}/paper/{paper_id}/references"
# quote the id so a legacy-arXiv "/" (e.g. arXiv:math/0603097) doesn't break
# the URL path; keep ":" for the arXiv:/DOI: scheme prefix (audit R-5).
url = f"{_BASE_GRAPH}/paper/{quote(paper_id, safe=':')}/references"
params: dict[str, Any] = {"fields": "externalIds,contexts"}
try:
response = _get(url, params=params)
@@ -140,7 +143,7 @@ def fetch_recommendations(paper_id: str, limit: int = 20) -> list[str]:
list[str]
List of recommended paper IDs.
"""
url = f"{_BASE_RECS}/papers/forpaper/{paper_id}"
url = f"{_BASE_RECS}/papers/forpaper/{quote(paper_id, safe=':')}"
params: dict[str, Any] = {"limit": limit}
try:
response = _get(url, params=params)

View File

@@ -248,9 +248,23 @@ def _grounded_ratio(claims: list[Claim]) -> float:
return n_grounded / len(claims)
def _make_lead_id(seq: int) -> str:
"""Format a sequential lead id like ``L-0001``."""
return f"L-{seq:04d}"
_KIND_PREFIX: dict[LeadKind, str] = {
"connection": "C",
"gap": "G",
"improvement": "I",
"conjecture": "X",
}
def _make_lead_id(seq: int, kind: LeadKind) -> str:
"""Format a per-kind sequential lead id like ``L-C-0001``.
Each synthesis stage numbers its leads from 1, so without a kind prefix a
connection, a gap, and an improvement all produce ``L-0001`` and clobber
one another in the shared ``grounded/`` directory (audit C-11). The kind
prefix namespaces the ids so they stay distinct.
"""
return f"L-{_KIND_PREFIX[kind]}-{seq:04d}"
def _safe_llm_generate(llm: LLMClient, prompt: str, model: str) -> str:
@@ -296,7 +310,7 @@ def _finalise_grounded_lead(
return None
marked = _mark_ungrounded(body, claims)
return Lead(
id=_make_lead_id(seq),
id=_make_lead_id(seq, kind),
kind=kind,
title=title,
body=marked,
@@ -402,11 +416,12 @@ def find_gaps(
Two complementary signals are used:
* **Topic coverage map** — for each topic in ``topics`` (or, if
``None``, the union of paper titles), retrieve chunks and check
bibkey coverage. A topic covered by < ``synthesis_gap_min_coverage``
bibkeys is reported as a gap candidate and the LLM is asked to
articulate it.
* **Topic coverage map** — for each **explicitly-requested** topic in
``topics``, retrieve chunks and check bibkey coverage. A topic covered by
< ``synthesis_gap_min_coverage`` bibkeys is a gap candidate and the LLM is
asked to articulate it. Defaulting to paper titles flagged almost every
paper as a gap (a title retrieves mostly its own single bibkey), so the
coverage map is opt-in now; pass ``topics`` / CLI ``--topic`` (audit R-8).
* **Code-vs-corpus gap** — when ``lib_path`` is given, any @cite
bibkey scanned from code that is NOT present in the corpus is
flagged. This catches the "cited in code, never ingested" case.
@@ -415,9 +430,9 @@ def find_gaps(
seq = 1
leads: list[Lead] = []
# Coverage-map probes are the explicit topics only — no default-to-titles,
# which turned every paper into a spurious gap (audit R-8).
probe_topics: list[str] = list(topics or [])
if not probe_topics:
probe_topics = [title for _, title in _list_paper_titles(db_conn)]
known_bibkeys = {bk for bk, _ in _list_paper_titles(db_conn)}
@@ -428,7 +443,7 @@ def find_gaps(
# No coverage at all → record the gap directly (LLM not strictly needed).
leads.append(
Lead(
id=_make_lead_id(seq),
id=_make_lead_id(seq, "gap"),
kind="gap",
title=f"Gap: corpus has no material on '{topic}'",
body=(
@@ -481,7 +496,7 @@ def find_gaps(
for bibkey in sorted(missing):
leads.append(
Lead(
id=_make_lead_id(seq),
id=_make_lead_id(seq, "gap"),
kind="gap",
title=f"Gap: code cites '{bibkey}' but corpus does not contain it",
body=(
@@ -658,7 +673,7 @@ def propose_conjectures(
continue
leads.append(
Lead(
id=_make_lead_id(seq),
id=_make_lead_id(seq, "conjecture"),
kind="conjecture",
title=title,
body=body,
@@ -759,10 +774,11 @@ def write_leads(leads: list[Lead], leads_dir: str) -> None:
* Grounded leads → ``leads_dir/grounded/<id>.md``
* Conjectures → ``leads_dir/conjectures/<id>.md`` (HARD invariant)
The function ALSO maintains an append-only ``leads_dir/INDEX.md``:
a previously-recorded id is kept on subsequent runs even if it is
overwritten with a newer body. The two sections (grounded /
conjectures) are visibly separated.
The function ALSO rebuilds ``leads_dir/INDEX.md`` from the on-disk files on
every run (see :func:`_update_index`): it reflects whatever lead files
currently exist under ``grounded/`` and ``conjectures/``, listed as two
visibly separated sections. It is not append-only — a deleted lead file
drops out of the index on the next run.
Notes
-----

View File

@@ -186,8 +186,15 @@ def _retrieve_chunks(
).fetchall()
# Filter reference-list chunks: skip chunks whose content looks like a bibliography
# (heuristic: > 60 % of lines match "^\[\d+\]" or "^[A-Z][a-z]+,?\s+[A-Z]\.").
ref_pattern = re.compile(r"^\s*(\[\d+\]|[A-Z][a-z]+,?\s+[A-Z]\.)", re.MULTILINE)
# (heuristic: > 60 % of lines look like "[12]" refs or "Surname, I." authors).
# The author alternative excludes common math-structure words ("Theorem A.",
# "Lemma B.") so theorem-dense chunks aren't mistaken for a reference list (R-2).
ref_pattern = re.compile(
r"^\s*(\[\d+\]|(?!(?:Theorem|Lemma|Proposition|Corollary|Definition|Proof|"
r"Section|Figure|Fig|Table|Equation|Eq|Remark|Example|Chapter)\b)"
r"[A-Z][a-z]+,?\s+[A-Z]\.)",
re.MULTILINE,
)
filtered: list[dict[str, Any]] = []
for row in rows:
content: str = row["content"]
@@ -273,7 +280,13 @@ _STOPWORDS: frozenset[str] = frozenset(
}
)
_SENTENCE_SPLIT_RE = re.compile(r"[.!?]")
# Split on sentence-ending punctuation only when followed by whitespace/end, so a
# decimal like "1.5" does not create a spurious sentence boundary (audit R-1).
_SENTENCE_SPLIT_RE = re.compile(r"[.!?]+(?=\s|$)")
# Punctuation stripped from token edges before grounding comparison — sentence/
# clause marks and quotes, NOT math delimiters like ()=+ (audit R-1).
_EDGE_PUNCT = ".,;:!?\"'"
def _last_sentence(text: str) -> str:
@@ -292,8 +305,16 @@ def _last_sentence(text: str) -> str:
def _content_words(text: str) -> list[str]:
"""Return lowercased tokens with stopwords removed."""
return [w for w in text.lower().split() if w not in _STOPWORDS]
"""Return lowercased content tokens, edge-punctuation-stripped, stopwords removed.
Stripping leading/trailing sentence punctuation makes grounding robust to
surface variation ("volume," vs "volume") so a faithful paraphrase is not
marked ungrounded over a comma (audit R-1). Math delimiters (``()=+``) are
preserved. Claim and chunk tokens are normalised identically, so matching
stays consistent.
"""
tokens = (w.strip(_EDGE_PUNCT) for w in text.lower().split())
return [w for w in tokens if w and w not in _STOPWORDS]
def _run_grounding_guard(
@@ -322,8 +343,9 @@ def _run_grounding_guard(
for chunk in chunks:
bk = str(chunk.get("bibkey") or "")
if bk:
# Content words of the chunk (stopwords removed, lowercased)
cw = " ".join(_content_words(chunk["content"]))
# Content words of the chunk, space-padded so a 5-gram match is bounded
# by whole tokens, not a substring bleeding across words (audit C-6).
cw = " " + " ".join(_content_words(chunk["content"])) + " "
bib_index.setdefault(bk, []).append(cw)
for claim in claims:
@@ -345,7 +367,7 @@ def _run_grounding_guard(
found = False
for i in range(len(content) - 4): # content-5-grams
gram = " ".join(content[i : i + 5])
gram = " " + " ".join(content[i : i + 5]) + " " # padded: token-boundary match
if any(gram in src for src in sources):
found = True
break
@@ -402,6 +424,13 @@ def _detect_conflicts(
_INLINE_CODE_RE = re.compile(r"`[^`]+`")
# LaTeX math spans — protected from cross-ref injection so a concept name inside
# a formula is not rewritten to a [[slug]] link, corrupting the LaTeX (audit R-9).
_MATH_SPAN_RE = re.compile(
r"\$\$.*?\$\$|\$[^$\n]*?\$|\\\(.*?\\\)|\\\[.*?\\\]",
re.DOTALL,
)
def _inject_cross_refs(
markdown: str,
@@ -411,11 +440,12 @@ def _inject_cross_refs(
"""Replace occurrences of other concept titles/aliases with ``[[slug]]`` links.
Only exact case-insensitive whole-word matches outside of existing
``[[…]]`` blocks or inline code spans are replaced.
Inline-code spans (`` `…` ``) are temporarily protected by null-byte
placeholders and restored after injection.
``[[…]]`` blocks, inline code spans, or LaTeX math spans are replaced.
Inline-code (`` `…` ``) and math (``$…$``, ``$$…$$``, ``\\(…\\)``,
``\\[…\\]``) spans are temporarily protected by null-byte placeholders and
restored after injection.
"""
# Step 1: protect inline-code spans from replacement
# Step 1: protect inline-code and math spans from replacement
placeholders: dict[str, str] = {}
def _protect(m: re.Match[str]) -> str:
@@ -424,6 +454,7 @@ def _inject_cross_refs(
return key
markdown = _INLINE_CODE_RE.sub(_protect, markdown)
markdown = _MATH_SPAN_RE.sub(_protect, markdown) # don't rewrite names inside LaTeX (R-9)
# Step 2: inject cross-refs on unprotected text
for concept in all_concepts:
@@ -602,14 +633,14 @@ def compile_concept(
claims = _parse_claims(raw_output)
claims = _run_grounding_guard(claims, chunks)
_all_concepts = all_concepts or []
raw_output = _inject_cross_refs(raw_output, _all_concepts, concept.slug)
# Graceful: try to embed formula chunks (F-09) — skip if table missing
# Graceful: formula-embedding hook (F-09) — currently a no-op (audit C-12).
_try_embed_formulas(concept, chunks)
compiled_at = datetime.now(UTC)
# Mark ungrounded claims on the raw body FIRST, then inject cross-refs: a
# concept name inside a claim must not stop the ⚠ regex from matching (C-13).
markdown = _render_page_markdown(concept, raw_output, claims, compiled_at)
markdown = _inject_cross_refs(markdown, all_concepts or [], concept.slug)
return ConceptPage(
concept=concept,
@@ -621,20 +652,13 @@ def compile_concept(
def _try_embed_formulas(concept: Concept, chunks: list[dict[str, Any]]) -> None:
"""Attempt to look up formula chunks for the concept — graceful no-op if F-09 absent."""
try:
from codex.db import get_conn
"""Reserved hook for embedding F-09 formula chunks into a page.
with get_conn() as conn:
# Check if formulas table exists
row = conn.execute(
"SELECT 1 FROM information_schema.tables WHERE table_name = 'formulas'"
).fetchone()
if row is None:
return # F-09 not present
# (Future: embed relevant raw_latex into the page)
except Exception: # noqa: BLE001
return # DB not reachable or other error — degrade gracefully
Currently a no-op — formula embedding is not implemented yet. Kept as a stable
seam for compile_concept's call site. The previous body issued a per-concept
DB round-trip (information_schema lookup) that did nothing (audit C-12).
"""
return
# ---------------------------------------------------------------------------
@@ -722,17 +746,23 @@ def compile_all(
# Detect conflicts between chunks from different bibkeys
report.conflicts.extend(_detect_conflicts(concept.slug, chunks))
# Quarantine check: compute grounding rate
# Quarantine check: compute grounding rate.
# A page with NO citations at all (total_claims == 0) carries zero grounding
# evidence — this also covers the LLM-outage case where compile_concept
# returns an empty page — and must NOT be published (audit C-4). Previously
# the `total_claims > 0` guard let such pages fall through to wiki/.
total_claims = len(page.claims)
grounded_claims = sum(1 for c in page.claims if c.grounded)
grounding_rate = grounded_claims / total_claims if total_claims > 0 else 0.0
if total_claims > 0 and grounding_rate < settings.wiki_min_grounding_rate:
# Quarantine: write to wiki/draft/ instead of wiki/
if total_claims == 0 or grounding_rate < settings.wiki_min_grounding_rate:
# Quarantine and do NOT update the compile-state, so a transient failure
# (e.g. LLM outage) is retried on the next run instead of being frozen as
# "compiled". An empty body is not worth a draft file — just record it.
if page.markdown.strip():
draft_dir = wiki_dir / "draft"
draft_dir.mkdir(parents=True, exist_ok=True)
page_path = draft_dir / f"{concept.slug}.md"
page_path.write_text(page.markdown, encoding="utf-8")
(draft_dir / f"{concept.slug}.md").write_text(page.markdown, encoding="utf-8")
report.quarantined.append(concept.slug)
else:
# Write page to wiki/

View File

@@ -1,8 +1,10 @@
# ADR-F15 — Literature Graph / Citation PageRank
**Status:** IMPL (GO after live-corpus spike 2026-06-15)
**Status:** IMPL GO after live-corpus spike 2026-06-15. See **Audit Update
(2026-06-15)** at the end: the ID-format mismatch is now resolved in code
(audit C-1, C-7) and the Spike Result numbers below predate that resolution.
**Owners:** F-15 Worker (Sonnet)
**Last updated:** 2026-06-15
**Last updated:** 2026-06-15 (audit addendum)
---
@@ -138,6 +140,12 @@ If the `citations` table is empty: graph has 0 nodes; `graph report` prints
## Known Limitation: ID-Format Mismatch
> **RESOLVED (audit 2026-06-15) — see Audit Update below.** This no longer holds:
> `build_citation_graph` resolves OpenAlex `cited_id`s to the canonical
> `papers.id` via the shared `RESOLVED_CITATIONS_SQL` (C-1) and ingest stores
> canonical ids (C-7), so inter-KB citations *are* now edges. Original text kept
> for the record.
`cited_id` uses OpenAlex IDs; `papers.id` uses DOIs. Cross-citations
between ingested papers are therefore not represented as graph edges.
This is a D-05-class issue (same root cause as the `citing_id`/`openalex_id`
@@ -155,3 +163,42 @@ small while the corpus is < 100 papers.
- R-44: `codex graph report [--top-n N] [--json]`
- R-45: graceful degradation < 5 nodes: uniform scores, warning
- R-46: **this document** GO; Bobenko+Springborn 2007 at rank 7 validates hub detection; score flatness expected at corpus size 29; increase to > 100 papers for stronger PageRank differentiation
---
## Audit Update (2026-06-15)
A post-hoc audit of the shipped F-15 code found that the live-corpus spike above
was measured on a graph the current code no longer produces:
- **ID-format mismatch resolved.** `build_citation_graph` resolves OpenAlex
`cited_id`s to the canonical `papers.id` through the shared
`RESOLVED_CITATIONS_SQL`, now also used by `codex.discover` so the two cannot
diverge (audit C-1). Ingest stores the caller's canonical id as `papers.id`
instead of OpenAlex's URL-form doi (audit C-7). Inter-KB citations are
therefore represented as edges — the "Known Limitation" above is obsolete.
- **Spike re-measured after migration (2026-06-15).** The corpus was re-ingested
onto canonical bare ids (29 papers, all bare — verified `url_form_ids = 0`), and
the graph re-run on the post-migration corpus:
| Metric | Original spike (pre-fix) | Post-migration (re-measured) |
|--------|--------------------------|------------------------------|
| Ingested papers | 29 | 29 |
| Graph nodes | 495 | 489 |
| Graph edges | 590 | 590 |
| Dangling nodes | 478 | 472 |
| Top-10 PR spread | 5.7 % | 5.4 % |
| Rank-1 hub | W1974956622 (dangling) | **Pinkall/Polthier 1993 — in-KB (resolved)** |
| Bobenko/Springborn 2007 | rank 7 | rank 7 |
The resolution fix's signature is visible: Pinkall/Polthier 1993 now resolves to
its canonical DOI and rises to **rank 1 as an in-KB hub** (previously a dangling
OpenAlex node). Bobenko/Springborn 2007 holds rank 7, and the foundational works
(Pinkall/Polthier, Yamabe, Schoen, Bobenko/Springborn) still surface. **GO
re-affirmed** on the shipping topology.
Migration footnotes: two papers initially survived in URL form because the
id-keyed upsert did not catch a `papers.openalex_id` collision, and `2305.10988`
failed on a `papers.bibkey` collision with `2310.17529` (both →
`BobenkoLutz2023`). Same upsert gap — resolved by the bibkey-retry (audit C-15)
plus a delete + re-ingest of the two stragglers; corpus is now 29/29 canonical.

141
infra/reingest_canonical_ids.sh Executable file
View File

@@ -0,0 +1,141 @@
#!/usr/bin/env bash
# One-time migration to canonical paper IDs (audit C-7).
#
# Before the C-7 fix, ingest stored OpenAlex's URL-form doi/id as papers.id
# (e.g. "https://doi.org/10.48550/arxiv.math/0603097"). After the fix, ingest
# keys papers.id on the bare caller id ("math/0603097"). The existing rows keep
# their old URL-form primary keys, so a plain re-ingest would DUPLICATE every
# paper (new bare-id row alongside the old URL-id row). This script wipes the
# corpus and rebuilds it on canonical ids.
#
# DESTRUCTIVE: `TRUNCATE papers CASCADE` removes papers + chunks + citations +
# formulas + figures + paper_identifiers (code_links.paper_id is set NULL). All
# content is rebuilt by ingest_all.sh, which re-fetches OpenAlex and re-embeds
# (minutes for ~36 papers).
#
# Prerequisites: SSH tunnel on :5433 (see ingest_all.sh) and .env.jetson-ingest.
# Usage: bash infra/reingest_canonical_ids.sh
set -euo pipefail
CODEX_DIR="$(cd "$(dirname "$0")/.." && pwd)"
ENV_FILE="$CODEX_DIR/.env.jetson-ingest"
PY="$CODEX_DIR/.venv/bin/python"
TUNNEL_PORT=5433
# ── 1. Preconditions ─────────────────────────────────────────────────────────
if ! nc -z localhost "$TUNNEL_PORT" 2>/dev/null; then
echo "ERROR: SSH tunnel not active on :$TUNNEL_PORT"
echo "Run: ssh -f -N -L 5433:localhost:5432 alfred@192.168.178.103"
exit 1
fi
[[ -f "$ENV_FILE" ]] || { echo "ERROR: $ENV_FILE missing"; exit 1; }
[[ -x "$PY" ]] || { echo "ERROR: venv python not found at $PY (run uv sync)"; exit 1; }
# Load DATABASE_URL into the environment (not echoed — keeps the password out of logs).
set -a; source "$ENV_FILE"; set +a
# run_sql <SQL>: execute one statement via psycopg, print any result rows.
# Reads DATABASE_URL from the environment; suppresses the DSN on error.
run_sql() {
"$PY" - "$1" <<'PYEOF'
import os, sys, psycopg
from psycopg.rows import dict_row
try:
with psycopg.connect(os.environ["DATABASE_URL"], row_factory=dict_row, connect_timeout=10) as c:
cur = c.execute(sys.argv[1])
if cur.description:
for row in cur.fetchall():
print(" " + " ".join(f"{k}={v!r}" for k, v in row.items()))
c.commit()
except Exception as e:
print(f" DB ERROR: {type(e).__name__} (details suppressed to avoid DSN leak)")
sys.exit(1)
PYEOF
}
# ── 2. BEFORE snapshot ───────────────────────────────────────────────────────
echo "── BEFORE migration ──────────────────────────────────────────"
run_sql "SELECT count(*) AS papers, count(*) FILTER (WHERE starts_with(id, 'https://')) AS url_form_ids FROM papers"
echo " sample ids:"
run_sql "SELECT id FROM papers ORDER BY added_at LIMIT 3"
# ── 2b. Preflight: verify the schema is re-ingestable BEFORE wiping anything ──
# ingest writes chunks.section (F-16). On a live DB that predates it the column
# is missing, and the app user cannot ALTER tables owned by 'postgres' (audit
# M-1). Check FIRST so we never TRUNCATE and then fail mid-re-ingest.
echo "── Preflight: schema readiness ───────────────────────────────"
SECTION_OK="$("$PY" - <<'PYEOF'
import os, psycopg
try:
with psycopg.connect(os.environ["DATABASE_URL"], connect_timeout=10) as c:
cols = [r[0] for r in c.execute(
"SELECT column_name FROM information_schema.columns WHERE table_name='chunks'").fetchall()]
print("yes" if "section" in cols else "no")
except Exception:
print("error")
PYEOF
)"
if [[ "$SECTION_OK" != "yes" ]]; then
echo "ABORT — schema not ready: chunks.section is missing (audit M-1)."
echo "The app user cannot add it (core tables are owned by 'postgres'). Sync the"
echo "schema with a privileged role, then re-run this script. Either:"
echo ""
echo " (a) MIGRATION_DATABASE_URL=postgresql://postgres:PASS@HOST:PORT/papers \\"
echo " \"$CODEX_DIR/.venv/bin/codex\" migrate # applies schema.sql idempotently"
echo " (b) sudo -u postgres psql -d papers \\"
echo " -c \"ALTER TABLE chunks ADD COLUMN IF NOT EXISTS section TEXT;\""
echo ""
echo "Nothing was changed — no TRUNCATE was issued."
exit 1
fi
echo " chunks.section present — schema OK."
# ── 3. Confirmation gate (destructive) ───────────────────────────────────────
echo ""
echo "This TRUNCATEs papers CASCADE (papers/chunks/citations/formulas/figures/"
echo "paper_identifiers) and re-ingests via ingest_all.sh. The DB content is"
echo "rebuilt from scratch."
read -r -p "Type 'MIGRATE' to proceed: " confirm
[[ "$confirm" == "MIGRATE" ]] || { echo "Aborted — nothing changed."; exit 1; }
# ── 4. Wipe ──────────────────────────────────────────────────────────────────
echo "── TRUNCATE papers CASCADE ───────────────────────────────────"
run_sql "TRUNCATE papers CASCADE"
echo " wiped."
# ── 5. Re-ingest on canonical ids ────────────────────────────────────────────
echo "── Re-ingest (ingest_all.sh) ─────────────────────────────────"
bash "$CODEX_DIR/ingest_all.sh"
# ── 6. AFTER snapshot + live verification ────────────────────────────────────
echo "── AFTER migration ───────────────────────────────────────────"
echo " C-7 — url_form_ids should now be 0; sample ids should be bare:"
run_sql "SELECT count(*) AS papers, count(*) FILTER (WHERE starts_with(id, 'https://')) AS url_form_ids FROM papers"
run_sql "SELECT id FROM papers ORDER BY added_at LIMIT 3"
# C-1 must be verified through the REAL resolver-based discovery_leads(), not a
# raw cited_id check: cited_id/openalex_id stay in OpenAlex form, so the raw
# "cited_id NOT IN papers.id" count is non-zero by design — the resolver is what
# excludes ingested papers. Check that no ingested paper leaks into the leads.
echo " C-1 — real discovery_leads() must contain no already-ingested paper:"
PYTHONPATH="$CODEX_DIR" "$PY" - <<'PYEOF'
import os, psycopg
from psycopg.rows import dict_row
from codex.discover import discovery_leads
try:
leads = discovery_leads(limit=100000)
with psycopg.connect(os.environ["DATABASE_URL"], row_factory=dict_row, connect_timeout=10) as c:
ingested = {r["id"] for r in c.execute("SELECT id FROM papers").fetchall()}
ingested |= {
r["openalex_id"]
for r in c.execute("SELECT openalex_id FROM papers WHERE openalex_id IS NOT NULL").fetchall()
}
leaked = sum(1 for lead in leads if lead["cited_id"] in ingested)
print(f" leads={len(leads)} ingested-papers-leaked-into-leads={leaked}")
except Exception as e:
print(f" DB ERROR: {type(e).__name__} (details suppressed)")
PYEOF
echo ""
echo "✓ Migration complete."
echo " Expected: url_form_ids=0 (C-7 verified) and leaked=0 (C-1 verified) above."
echo " Next: re-run 'codex graph report' and refresh the ADR-F15 spike table (audit D-1)."

View File

@@ -13,7 +13,7 @@ CREATE EXTENSION IF NOT EXISTS vector;
-- ---------------------------------------------------------------------
-- Layer 1: Papers + full-text chunks
-- ---------------------------------------------------------------------
CREATE TABLE papers (
CREATE TABLE IF NOT EXISTS papers (
id TEXT PRIMARY KEY, -- canonical ID: arXiv ID or DOI
openalex_id TEXT UNIQUE, -- e.g. W2741809807
bibkey TEXT UNIQUE, -- BibTeX key -> .bib + Doxygen @cite
@@ -27,10 +27,10 @@ CREATE TABLE papers (
);
-- HNSW index for fast approximate nearest-neighbour search on abstracts.
CREATE INDEX papers_abstract_emb_idx
CREATE INDEX IF NOT EXISTS papers_abstract_emb_idx
ON papers USING hnsw (abstract_emb vector_cosine_ops);
CREATE TABLE chunks (
CREATE TABLE IF NOT EXISTS chunks (
id BIGSERIAL PRIMARY KEY,
paper_id TEXT REFERENCES papers(id) ON DELETE CASCADE,
ord INT NOT NULL, -- position within the paper
@@ -38,13 +38,13 @@ CREATE TABLE chunks (
embedding vector(1024)
);
CREATE INDEX chunks_emb_idx
CREATE INDEX IF NOT EXISTS chunks_emb_idx
ON chunks USING hnsw (embedding vector_cosine_ops);
CREATE INDEX chunks_paper_idx ON chunks (paper_id);
CREATE INDEX IF NOT EXISTS chunks_paper_idx ON chunks (paper_id);
-- Sparse / keyword hits for exact mathematical terminology (hybrid search).
-- Dense (above) + full-text (below) combined = robust against math terms.
CREATE INDEX chunks_fts_idx
CREATE INDEX IF NOT EXISTS chunks_fts_idx
ON chunks USING gin (to_tsvector('english', content));
-- ---------------------------------------------------------------------
@@ -53,19 +53,19 @@ CREATE INDEX chunks_fts_idx
-- edges to not-yet-ingested papers are intentionally preserved —
-- those are your discovery leads.
-- ---------------------------------------------------------------------
CREATE TABLE citations (
CREATE TABLE IF NOT EXISTS citations (
citing_id TEXT REFERENCES papers(id) ON DELETE CASCADE,
cited_id TEXT NOT NULL, -- arXiv/DOI/OpenAlex ID of the target
context TEXT, -- optional: citation context (S2)
PRIMARY KEY (citing_id, cited_id)
);
CREATE INDEX citations_cited_idx ON citations (cited_id);
CREATE INDEX IF NOT EXISTS citations_cited_idx ON citations (cited_id);
-- ---------------------------------------------------------------------
-- Layer 3: Provenance (the "cleanly couple" goal)
-- ---------------------------------------------------------------------
CREATE TABLE code_links (
CREATE TABLE IF NOT EXISTS code_links (
id BIGSERIAL PRIMARY KEY,
symbol TEXT NOT NULL, -- e.g. 'dec::hodge_star' or 'file.cpp:120'
paper_id TEXT REFERENCES papers(id) ON DELETE SET NULL,
@@ -74,8 +74,8 @@ CREATE TABLE code_links (
added_at TIMESTAMPTZ DEFAULT now()
);
CREATE INDEX code_links_symbol_idx ON code_links (symbol);
CREATE INDEX code_links_paper_idx ON code_links (paper_id);
CREATE INDEX IF NOT EXISTS code_links_symbol_idx ON code_links (symbol);
CREATE INDEX IF NOT EXISTS code_links_paper_idx ON code_links (paper_id);
-- ---------------------------------------------------------------------
-- Example query: discovery leads

View File

@@ -28,9 +28,11 @@ def _make_conn_cm(conn: MagicMock):
def _make_conn_with_paper_ids(*paper_ids: str) -> MagicMock:
"""Mock conn that returns paper rows for SELECT id FROM papers."""
"""Mock conn that returns paper rows for SELECT id, title FROM papers."""
conn = MagicMock()
conn.execute.return_value.fetchall.return_value = [{"id": pid} for pid in paper_ids]
conn.execute.return_value.fetchall.return_value = [
{"id": pid, "title": f"Title of {pid}"} for pid in paper_ids
]
return conn

View File

@@ -12,6 +12,7 @@ from unittest.mock import MagicMock, patch
import httpx
import numpy as np
import psycopg
import pytest
from codex.ingest import IngestResult, _make_bibkey, ingest_paper
@@ -161,6 +162,37 @@ def test_ingest_crossref_not_called_when_openalex_has_citations() -> None:
mock_cr.assert_not_called()
def test_ingest_canonicalises_paper_id_to_caller_arg() -> None:
"""papers.id is the caller-supplied id, not OpenAlex's URL-form id (audit C-7).
Real OpenAlex returns the doi/id as a full URL; ingest must key the paper on
the bare id the caller passed (matching ingest scripts and CLI lookups), and
keep the OpenAlex work id only as openalex_id.
"""
oa_paper = Paper(
id="https://doi.org/10.48550/arxiv.math/0603097", # URL form, as OpenAlex emits
title="A Test Paper",
openalex_id="https://openalex.org/W4301005794",
authors=["Alice", "Bob"],
year=2008,
abstract="Test abstract.",
)
mock_conn = MagicMock()
with (
patch("codex.ingest.openalex.fetch_paper", return_value=oa_paper),
patch("codex.ingest.openalex.fetch_citations", return_value=[]),
patch("codex.ingest.get_embedder", return_value=_fake_embedder()),
patch("codex.ingest.get_conn", side_effect=_make_conn_cm(mock_conn)),
):
result = ingest_paper("math/0603097")
papers_params = mock_conn.execute.call_args_list[0][0][1]
assert papers_params["id"] == "math/0603097", "papers.id must be the caller's bare id"
assert papers_params["openalex_id"] == "https://openalex.org/W4301005794"
assert result.paper_id == "math/0603097"
# ---------------------------------------------------------------------------
# 2. test_ingest_paper_source_tex
# ---------------------------------------------------------------------------
@@ -562,9 +594,11 @@ def test_ingest_paper_rich_calls_formula_and_figure_parsers(tmp_path: Any) -> No
mock_conn.executemany = MagicMock()
mock_conn.commit = MagicMock()
fake_formula = FormulaChunk(paper_id=paper.id, page=1, raw_latex=r"\alpha", context="test")
# Extractors derive paper_id from the PDF filename stem ("paper"), which differs
# from papers.id — ingest must insert papers.id, not this stem (audit C-10).
fake_formula = FormulaChunk(paper_id="paper", page=1, raw_latex=r"\alpha", context="test")
fake_figure = FigureChunk(
paper_id=paper.id, page=1, image_path="/tmp/fig.png", caption="Figure 1."
paper_id="paper", page=1, image_path="/tmp/fig.png", caption="Figure 1."
)
mock_settings = MagicMock()
@@ -591,6 +625,16 @@ def test_ingest_paper_rich_calls_formula_and_figure_parsers(tmp_path: Any) -> No
assert result.formulas_upserted == 1
assert result.figures_upserted == 1
# C-10: formula/figure rows must be keyed on papers.id, not the extractor's
# filename-stem paper_id, or the FK to papers(id) is violated.
cursor = mock_conn.cursor.return_value.__enter__.return_value
inserted_paper_ids = {
row[0] for call in cursor.executemany.call_args_list for row in call[0][1]
}
assert inserted_paper_ids == {paper.id}, (
f"formula/figure inserts must use papers.id, got {inserted_paper_ids}"
)
def test_ingest_paper_no_rich_skips_parsers(tmp_path: Any) -> None:
"""When rich=False (default), formula and figure parsers are NOT called."""
@@ -781,6 +825,69 @@ def test_ingest_doi_paper_upserts_bare_canonical_id() -> None:
)
def test_ingest_disambiguates_bibkey_on_unique_violation() -> None:
"""A papers.bibkey UNIQUE collision is retried with an a/b/c suffix (audit C-15)."""
paper = _make_paper() # bibkey auto-generates to "AliceBob2023"
mock_conn = MagicMock()
state = {"first": True}
def execute_side_effect(sql: str, params: Any = None) -> MagicMock:
# The first papers INSERT collides on the bibkey; the retry must succeed.
if "INSERT INTO papers" in sql and state["first"]:
state["first"] = False
raise psycopg.errors.UniqueViolation(
'duplicate key value violates unique constraint "papers_bibkey_key"'
)
return MagicMock()
mock_conn.execute.side_effect = execute_side_effect
with (
patch("codex.ingest.openalex.fetch_paper", return_value=paper),
patch("codex.ingest.openalex.fetch_citations", return_value=[]),
patch("codex.ingest.get_embedder", return_value=_fake_embedder()),
patch("codex.ingest.get_conn", side_effect=_make_conn_cm(mock_conn)),
):
ingest_paper(paper.id)
papers_inserts = [
c for c in mock_conn.execute.call_args_list if "INSERT INTO papers" in c[0][0]
]
assert len(papers_inserts) == 2, "expected one retry after the bibkey collision"
assert papers_inserts[0][0][1]["bibkey"] == "AliceBob2023"
assert papers_inserts[1][0][1]["bibkey"] == "AliceBob2023a"
mock_conn.rollback.assert_called_once()
def test_ingest_openalex_collision_raises_clear_error() -> None:
"""An openalex_id UNIQUE collision raises a clear, actionable error (audit C-15).
Unlike a bibkey clash (auto-suffixed), a shared openalex_id means two papers
claim the same OpenAlex work — a real data conflict that must surface, not the
raw psycopg error.
"""
paper = _make_paper()
mock_conn = MagicMock()
def execute_side_effect(sql: str, params: Any = None) -> MagicMock:
if "INSERT INTO papers" in sql:
raise psycopg.errors.UniqueViolation(
'duplicate key value violates unique constraint "papers_openalex_id_key"'
)
return MagicMock()
mock_conn.execute.side_effect = execute_side_effect
with (
patch("codex.ingest.openalex.fetch_paper", return_value=paper),
patch("codex.ingest.openalex.fetch_citations", return_value=[]),
patch("codex.ingest.get_embedder", return_value=_fake_embedder()),
patch("codex.ingest.get_conn", side_effect=_make_conn_cm(mock_conn)),
pytest.raises(ValueError, match="openalex_id"),
):
ingest_paper(paper.id)
# ---------------------------------------------------------------------------

View File

@@ -12,6 +12,7 @@ from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
from pydantic import SecretStr
# ---------------------------------------------------------------------------
# _require_http_token
@@ -37,7 +38,7 @@ def test_require_http_token_returns_token_when_set() -> None:
from codex.mcp_server import _require_http_token
mock_settings = MagicMock()
mock_settings.mcp_auth_token = "super-secret-token"
mock_settings.mcp_auth_token = SecretStr("super-secret-token")
with patch("codex.config.get_settings", return_value=mock_settings):
result = _require_http_token()
@@ -97,7 +98,7 @@ def test_main_http_with_token_calls_uvicorn() -> None:
mock_settings = MagicMock()
mock_settings.mcp_transport = "http"
mock_settings.mcp_auth_token = "test-token"
mock_settings.mcp_auth_token = SecretStr("test-token")
mock_settings.mcp_host = "127.0.0.1"
mock_settings.mcp_port = 8765

View File

@@ -10,6 +10,7 @@ from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from pydantic import SecretStr
from codex.models import FormulaChunk
@@ -295,8 +296,8 @@ class TestRouteSelection:
def test_mathpix_selected_when_creds_present(self) -> None:
"""extract_formulas calls MathPix backend when both creds are set."""
mock_settings = MagicMock()
mock_settings.mathpix_app_id = "my_id"
mock_settings.mathpix_app_key = "my_key"
mock_settings.mathpix_app_id = SecretStr("my_id")
mock_settings.mathpix_app_key = SecretStr("my_key")
mock_settings.pix2tex_fallback = True
with (

View File

@@ -8,7 +8,10 @@ from codex.config import Settings, get_settings
def test_settings_defaults() -> None:
"""Settings() is constructable without env vars; expected defaults are set."""
s = Settings()
assert s.database_url == "postgresql://researcher:change_me@localhost:5432/papers"
assert (
s.database_url.get_secret_value()
== "postgresql://researcher:change_me@localhost:5432/papers"
)
assert s.embedding_model == "BAAI/bge-m3"
assert s.embedding_dim == 1024
@@ -20,7 +23,7 @@ def test_settings_env_override(monkeypatch: object) -> None:
mp: pytest.MonkeyPatch = monkeypatch # type: ignore[assignment]
mp.setenv("DATABASE_URL", "postgresql://x:y@h:5432/db")
s = Settings()
assert s.database_url == "postgresql://x:y@h:5432/db"
assert s.database_url.get_secret_value() == "postgresql://x:y@h:5432/db"
def test_get_settings_is_singleton() -> None:

View File

@@ -33,3 +33,40 @@ def test_apply_schema_executes_sql() -> None:
mock_conn.execute.assert_called_once()
mock_conn.commit.assert_called_once()
def test_schema_sql_is_idempotent() -> None:
"""Every CREATE TABLE/INDEX in infra/schema.sql uses IF NOT EXISTS (audit M-1, T-2).
Re-applying schema.sql must be a safe no-op so the migration can run
repeatedly against an existing database.
"""
import re
from pathlib import Path
schema = (Path(__file__).resolve().parents[2] / "infra" / "schema.sql").read_text()
# Drop line comments so commented-out example queries don't count.
code = "\n".join(line.split("--", 1)[0] for line in schema.splitlines())
non_idempotent = re.findall(
r"CREATE\s+(?:UNIQUE\s+)?(?:TABLE|INDEX)\s+(?!IF\s+NOT\s+EXISTS)(\w+)",
code,
re.IGNORECASE,
)
assert not non_idempotent, f"schema.sql has non-idempotent CREATE statements: {non_idempotent}"
def test_migrate_command_reports_privilege_error() -> None:
"""`codex migrate` surfaces InsufficientPrivilege with guidance and exits 1 (M-1)."""
import psycopg
from typer.testing import CliRunner
from codex.cli import app
def boom(*args: object, **kwargs: object) -> object:
raise psycopg.errors.InsufficientPrivilege("must be owner of table chunks")
with patch("psycopg.connect", boom):
result = CliRunner().invoke(app, ["migrate"])
assert result.exit_code == 1
assert "MIGRATION_DATABASE_URL" in result.output

View File

@@ -15,8 +15,8 @@ from codex.sources.openalex import _canonical_id, _normalize_doi, _resolve_id
_SAMPLE_WORK = {
"id": "https://openalex.org/W2741809807",
# Real OpenAlex returns the DOI as a full URL (T-3: the old bare fixture hid
# the URL-form behaviour that DQ-5 is about).
# Real OpenAlex returns the DOI as a full URL, not a bare DOI (audit T-3 / DQ-5
# — the old bare fixture hid the URL-form behaviour both fixes address).
"doi": "https://doi.org/10.1145/3592430",
"title": "Conformal Prediction: A Review",
"publication_year": 2023,
@@ -168,8 +168,11 @@ def test_fetch_paper_success(monkeypatch: pytest.MonkeyPatch) -> None:
assert paper is not None
assert isinstance(paper, Paper)
# DQ-5 / C-7: paper.id is the canonical BARE DOI, not the full URL OpenAlex
# returns. This is what makes the ingest ON CONFLICT (id) upsert idempotent.
# DQ-5: openalex._canonical_id normalizes OpenAlex's URL-form doi to the BARE
# lower-cased DOI at the source layer; ingest additionally pins papers.id to the
# caller's id (audit C-7). Both converge on the bare canonical id — which is what
# makes the ingest ON CONFLICT (id) upsert idempotent. (T-3: the fixture is
# URL-form so this mapping can't silently regress.)
assert paper.id == "10.1145/3592430"
assert paper.title == "Conformal Prediction: A Review"
assert paper.year == 2023

View File

@@ -112,10 +112,35 @@ def test_find_gaps_coverage_map_low_coverage_triggers_llm(
"For an ideal tetrahedron with dihedral angles the hyperbolic volume is "
"V = L(gamma1) + L(gamma2) + L(gamma3). [Springborn2008 #chunk 16]\n"
)
leads = find_gaps(llm=StubLLM(grounded_body))
# Coverage gaps are opt-in (audit R-8): pass the topic explicitly.
leads = find_gaps(llm=StubLLM(grounded_body), topics=["hyperbolic volume formula"])
assert any(lead.kind == "gap" for lead in leads)
def test_find_gaps_no_coverage_gaps_without_explicit_topics(
monkeypatch: pytest.MonkeyPatch,
mock_paper_titles: None,
mock_settings: Path,
) -> None:
"""Without explicit topics, paper titles do NOT auto-generate coverage gaps (R-8)."""
sparse_chunks: list[dict[str, Any]] = [
{
"id": 10,
"paper_id": "springborn-2008",
"ord": 16,
"content": "the hyperbolic volume is V = L(gamma1) + L(gamma2) + L(gamma3)",
"bibkey": "Springborn2008",
},
]
monkeypatch.setattr(
"codex.synthesis._retrieve_chunks",
lambda queries, top_k: [dict(c) for c in sparse_chunks],
)
# No lib_path, no topics → the coverage map must not run despite sparse coverage.
leads = find_gaps(llm=StubLLM("a gap. [Springborn2008 #chunk 16]"))
assert leads == []
def test_find_gaps_explicit_topics_override_default(
monkeypatch: pytest.MonkeyPatch,
mock_paper_titles: None,

View File

@@ -76,7 +76,7 @@ def test_finalise_grounded_lead_succeeds_when_grounded(
)
assert lead is not None
assert lead.kind == "connection"
assert lead.id == "L-0001"
assert lead.id == "L-C-0001" # kind-prefixed id (audit C-11)
assert lead.confidence >= 0.5
assert lead.status == "unverified"
assert lead.suggested_validation == ""
@@ -148,7 +148,8 @@ def test_find_gaps_topic_with_no_chunks(
) -> None:
"""When retrieval returns no chunks, a gap lead is emitted directly."""
monkeypatch.setattr("codex.synthesis._retrieve_chunks", lambda queries, top_k: [])
leads = find_gaps(llm=StubLLM(""))
# Coverage gaps are opt-in now (audit R-8): pass an explicit topic.
leads = find_gaps(llm=StubLLM(""), topics=["nonexistent topic"])
assert len(leads) >= 1
assert all(lead.kind == "gap" for lead in leads)
# Direct gap leads carry a validation hint (re-ingest)

View File

@@ -92,9 +92,21 @@ def test_lead_empty_provenance_raises() -> None:
def test_lead_id_format_helper() -> None:
"""The internal _make_lead_id helper produces zero-padded L-XXXX strings."""
"""_make_lead_id produces a kind-prefixed, zero-padded L-<K>-XXXX string."""
from codex.synthesis import _make_lead_id
assert _make_lead_id(1) == "L-0001"
assert _make_lead_id(42) == "L-0042"
assert _make_lead_id(9999) == "L-9999"
assert _make_lead_id(1, "connection") == "L-C-0001"
assert _make_lead_id(42, "gap") == "L-G-0042"
assert _make_lead_id(9999, "improvement") == "L-I-9999"
assert _make_lead_id(1, "conjecture") == "L-X-0001"
def test_lead_id_namespaced_per_kind_no_collision() -> None:
"""Regression for audit C-11: each stage numbers from 1, so without a kind
prefix connection/gap/improvement all collide on L-0001 and overwrite one
another in grounded/. The prefix must keep same-seq ids distinct.
"""
from codex.synthesis import _make_lead_id
ids = {_make_lead_id(1, k) for k in ("connection", "gap", "improvement", "conjecture")}
assert len(ids) == 4, f"same-seq ids must stay distinct across kinds, got {ids}"

View File

@@ -213,6 +213,47 @@ def test_grounding_guard_last_sentence_grounded_earlier_hallucination_ignored()
)
def test_grounding_guard_robust_to_trailing_comma() -> None:
"""A faithful 5-word claim grounds despite a trailing comma (audit R-1).
The chunk says "... the volume function V0 is strictly concave on the angle
domain." Before edge-punctuation stripping, the claim token "concave," != the
chunk token "concave", so the only content-5-gram failed to match and the
claim was wrongly marked ungrounded.
"""
claim = Claim(
text="the volume function V0 is strictly concave,",
bibkey="Springborn2008",
locator="chunk 16",
)
result = _run_grounding_guard([claim], FIXTURE_CHUNKS)
assert result[0].grounded is True
def test_grounding_guard_no_substring_bleed_across_tokens() -> None:
"""A 5-gram must match whole tokens, not bleed into a longer chunk word (audit C-6).
The chunk contains 'subset'; a claim whose first token is 'set' must NOT ground
by substring-matching the suffix of 'subset'.
"""
chunks = [
{
"id": 99,
"paper_id": "p",
"ord": 0,
"bibkey": "TestBib",
"content": "the subset conformal map energy functional is minimized here",
}
]
claim = Claim(
text="the set conformal map energy functional",
bibkey="TestBib",
locator="chunk 0",
)
result = _run_grounding_guard([claim], chunks)
assert result[0].grounded is False
# ---------------------------------------------------------------------------
# _inject_cross_refs
# ---------------------------------------------------------------------------
@@ -274,6 +315,19 @@ def test_inject_cross_refs_skips_inline_code() -> None:
assert "[[circle-packing]]" in result # bare occurrence replaced
def test_inject_cross_refs_skips_math_spans() -> None:
"""Concept names inside LaTeX math are NOT rewritten to [[slug]] links (audit R-9)."""
concepts = [
Concept(slug="energy", title="Energy", aliases=[]),
FIXTURE_CONCEPT,
]
text = "Prose Energy here. Math $x = Energy^2$ and inline \\(Energy\\) stay literal."
result = _inject_cross_refs(text, concepts, current_slug="lobachevsky-function")
assert "$x = Energy^2$" in result # display/inline $...$ math untouched
assert "\\(Energy\\)" in result # \(...\) math untouched
assert "Prose [[energy]] here." in result # prose occurrence still linked
def test_inject_cross_refs_full_list_even_when_single_concept() -> None:
"""Cross-ref injection uses the full concept list, not just the compiled concept."""
concepts = [
@@ -504,6 +558,47 @@ def test_log_append_records_skipped(
assert "circle-packing" in content
# ---------------------------------------------------------------------------
# Audit C-4: zero-citation pages must NOT bypass the quarantine
# ---------------------------------------------------------------------------
def test_zero_citation_page_is_quarantined_not_published(
mock_retrieve: None,
mock_formulas: None,
mock_settings: Path,
) -> None:
"""A confident-but-uncited LLM response yields zero parseable claims
(grounding_rate 0.0). It must be quarantined — not written to wiki/ and
marked compiled. Regression for audit C-4: the old ``total_claims > 0``
guard let zero-claim (and LLM-outage empty) pages fall through to wiki/.
"""
from codex.wiki import compile_all
(mock_settings / "concepts.yaml").write_text(
textwrap.dedent(
"""\
concepts:
- slug: lobachevsky-function
title: Lobachevsky Function
aliases: [Milnor Lobachevsky]
"""
),
encoding="utf-8",
)
# No [BibKey] citations anywhere → zero claims → grounding_rate 0.0.
uncited = MockLLM(
"The Lobachevsky function is obviously central to all of geometry. "
"Every result follows from it. This paragraph cites nothing at all."
)
report = compile_all(changed_only=False, llm=uncited, output_dir=str(mock_settings))
assert "lobachevsky-function" in report.quarantined
assert "lobachevsky-function" not in report.compiled
assert not (mock_settings / "lobachevsky-function.md").exists()
# ---------------------------------------------------------------------------
# Idempotency: second compile without chunk change → no rewrite
# ---------------------------------------------------------------------------