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# Shared research API
This work belongs to Thesisly 研迹 and uses Foundry Core rather than a separate
application backend. The corpus is public; account sessions and future private
collections remain project scoped.
## Current implementation boundary
`internal/research` implements the HTTP contract and a PostgreSQL repository
based on the fixed Paper Atlas `a3b677b` schema (TEXT/BIGINT columns, native
English title/abstract search index). `cmd/foundry` enables it only when
`FOUNDRY_RESEARCH_DATABASE_URL` is configured. The Paper Atlas migration is now published: 21 tables passed its independent
count/content-hash acceptance. A dedicated `foundry_research_reader` role has
SELECT on the ten tables consumed here, schema USAGE, and read-only defaults.
Its connection is stored only in the protected server file below.
The existing SQLite implementation was withdrawn. Real-corpus integration has
been checked through a loopback Core and the local frontend. Formal production
release still requires the user to merge and choose to deploy; this branch is
not deployed by these checks. Very broad queries remain subject to the budget
and performance limitation documented below.
Do not add `FOUNDRY_RESEARCH_DATABASE`.
The server-side deployment may load a protected
`/opt/endoleap-infra/foundry/research.env` containing
`FOUNDRY_RESEARCH_DATABASE_URL` and `FOUNDRY_RESEARCH_SCHEMA` (default `research`).
Keep the connection string out of Git, Actions variables, browser configuration
and command arguments. Use a dedicated role with schema USAGE and table SELECT
only. Core uses a separate two-connection pool, read-only connection defaults and
read-only transactions. Each research transaction disables JIT locally: the
measured count plan spent about 2.85 seconds compiling JIT functions, and its
end-to-end execution exceeded eight seconds. This does not alter shared
PostgreSQL settings or replace exact counts with estimates. Startup checks the published schema/SELECT permissions;
an explicitly enabled but invalid connection fails candidate readiness.
Deployment migration defaults now follow the shared `foundry-postgres`
container name. `FOUNDRY_POSTGRES_CONTAINER` or the existing `--container` option
can select a different container without changing database/table names.
## Routes
- `GET /projects/{project}/research/papers`
- `GET /projects/{project}/research/papers/{id}`
Only configured Foundry projects are accepted. Reading the public corpus does
not require a session; these routes do not expose private data or accept writes.
List parameters are `q` (200 Unicode characters, 20 words), `searchIn`
(`text` or `author`), `topic` (an exact arXiv category), `sort` (`recent` or
`title`), `cursor` (optional, opaque, at most 32768 characters), and
`pageSize` (1–50, default 8). Unknown, malformed
or repeated parameters return 400. `recent` means descending stable paper ID,
not publication date. Search terms must become bound query parameters, never
raw SQL or user-supplied full-text syntax.
Title/abstract search uses the migration's English vector with
`plainto_tsquery`; author search uses simple-language terms over the stored
author JSON. Both treat input as terms, never full-text operators. Initial full-corpus measurements showed eight-second timeouts for text,
author and topic counts; the unfiltered count took 7.25 seconds. Execution plans
confirmed sequential scans for authors and category joins.
`deploy/research/query-indexes.sql` supplies operator-run concurrent indexes for
those two missing access paths. It is separate from Core startup and auth
migrations; do not grant DDL to the runtime reader. Both indexes completed on the confirmed ECS (category 35.4 seconds, author
436.47 seconds); measured end-to-end checks are documented below.
List responses contain `items`, `nextCursor`, `previousCursor`, `topics`, and
`pageSize`. Empty cursor strings mean that direction is unavailable. There is
no `total`, page number, total page count or deep-page cap. The old `page`
parameter is rejected; coordinate the frontend/backend contract update.
Each paper preserves original title/abstract, authors, source dates, topics and
source links. Publication decisions need source evidence; absent decisions stay
unknown. No invented repositories, metrics or generated research conclusions.
Lists use a read-only repeatable-read snapshot without `count(*)` or `OFFSET`.
Keyset paging uses ID descending for recent order and `(title_key, id)` ascending
for title order, including a reverse query for previous pages. The title key is
kept in its stored codec and C collation. Cursors bind normalized query, search
scope, topic, sort and page size; changing filters requires a fresh cursor. They
are public row positions, not authorization tokens or guaranteed frozen snapshots
across requests. Concurrent corpus edits may alter later pages.
Only pageSize+1 positions are selected; the extra position indicates more data,
then full rows and batched metadata are loaded for at most pageSize papers.
For recent order with only a topic filter, page directly through the existing
`(tag_id,paper_id)` index and deduplicate evidence before LIMIT. For text/author
search in recent order, try an ID interval of 512 near the cursor, expanding
once to 4096 only if there are some matches but fewer than pageSize+1.
Only a full page plus one proves that interval contains the next page. If neither bounded attempt fills the page,
all local candidates are discarded and the complete indexed search is used;
rare or older matches are never silently truncated. The fallback materializes
matching IDs before sorting, avoiding an unbounded ordered heap scan for sparse
terms. Title-order filtered queries still use that complete search and can time
out for broad terms. No global database or proxy resource settings are changed.
The
HTTP layer permits two in-flight queries with an eight-second context budget.
Busy requests return 429 with `Retry-After: 1`; deadlines return 504; storage
errors return a generic 503 without database details. Missing papers return 404.
## Validation
`go test -race -count=1 ./internal/research` covers routing, query limits,
Unicode, anonymous reads, rejected mutations, project lookup, errors, saturation
and timeout slot release. Run compilation/tests only on the user-confirmed ECS
runner. These transport tests do not prove a database connection, full-corpus
query performance or production availability.
The PostgreSQL repository batches source/tag/identifier/submission queries in
the same read-only repeatable-read transaction. Author tuples are displayed as
given name, family name and suffix; an optional fourth affiliation field
is excluded from the display name (observed in real arXiv records); null abstracts/dates remain null. Publication
status comes from the latest observed decision, using decision date and ID as
tie-breakers, and stays unknown when no decision exists. Unit checks cover
author shapes, bound user values and schema qualification. The real Core detail
and homepage HTTP routes have returned 200.
The frontend has also rendered the actual 3,526,999-paper corpus through a
loopback SSH tunnel: eight rows, matching detail title/source, desktop and
mobile layout, no page exceptions or horizontal overflow in that check.
The earlier count-based API returned 146 author records in 0.336 seconds. Before the cursor optimization, after paging/author fixes, category `cs.AR` returned 9,457 records in 4.906
seconds, `CartoonGAN` returned three in 0.332 seconds, and the multi-term search
`attention is all you need` returned 8,653 in 6.325 seconds. These were sequential
manual HTTP checks, not a load test. Very broad text searches can still exceed
the eight-second budget; clients retain search controls so users can narrow
the query or retry. This known limit is not an estimated count or sample
fallback. This is not a
production deployment or an authentication acceptance result.
The existing `deploy/check-schema.sh` also loads the synthetic fixture in
`internal/research/testdata/corpus.sql` inside its disposable PostgreSQL
container (`--network none`, no host port). The research test process receives a
separate SELECT-only fixture role via `RESEARCH_TEST_DATABASE_URL`. These
integration checks execute real SQL for filtering, stable paging, nullable
content, source/tag/identifier joins, latest decision tie-breakers, permission
denial and SQL-backed HTTP routes. They never connect to the shared migration
instance and do not establish full-corpus performance or live-data correctness.
## Text storage compatibility (repair 4e62710)
The Paper Atlas repair uses `nul-soh-v1`: NUL is stored as SOH/SOH, and a
literal SOH as SOH/STX, preserving binary text ordering. Core reads the schema
comment `paper-atlas:text-codec=nul-soh-v1` through `pg_catalog` at startup,
restores SQL text before JSON parsing/API responses, and encodes bound search
terms. An absent/unrelated schema comment keeps legacy text unchanged; an
unsupported marked codec or malformed encoded text fails explicitly.
Schema comments are public metadata, so consumers need no privileges on the
private migration controller. The research role still needs only schema USAGE
and table SELECT. The codec adaptation is on the review branch, pushed with [skip ci] under the
user's no-CI instruction; the published schema marker has been verified with
the runtime reader.
All research tests passed manually against disposable PostgreSQL on the
confirmed ECS, including the encoded SQL fixture for schema detection, raw TEXT restoration,
JSON author/metadata decoding, search and the HTTP round trip. Passing isolated
fixtures does not establish full-corpus API performance.
## Identity handoff
The existing production Core received a configuration-only reload using its
unchanged release binary: the original projects were retained and thesisly was
registered. Both Google and Slack identity records were observed in this
project. The user independently confirmed each provider's real authorization,
reload/new-tab persistence and logout behavior. Browser control was unavailable,
so these browser results are attributed to user acceptance rather than an
automated real-account test. This does not deploy the research work branch;
mail delivery was not exercised.
## Cursor regression coverage
The disposable PostgreSQL fixture covers forward/backward traversal, identical
title keys with different IDs, published control-character encoding, sparse
matches separated by a large ID gap, and fallback from the bounded interval.
Invalid, oversized, cross-filter and wrong-version cursors are rejected before
repository execution. The runtime reader retains SELECT-only privileges; no DDL
or writes are added. Run tests manually on the confirmed ECS; skip CI for this
iteration and retain `[skip ci]` in commit and PR titles.
## Manual cursor measurements (2026-11-07)
On the confirmed ECS, after this task's compilation and disposable fixture had
finished, sequential direct requests to the temporary Core returned: homepage
65 ms, next/previous 39/21 ms, `graph` 345 ms, `CartoonGAN` 731 ms (3 papers),
`cs.AR` 145 ms, title order 180 ms, author `Buhrman` 769 ms, and
`attention is all you need` 1312 ms. Recent, topic and title cursor round trips
returned the same first page without overlap. These are individual manual
samples, not production latency guarantees; concurrent compilation earlier
produced multi-second cold measurements. No proxy, database memory, CPU or
production configuration was changed.
The final source compiled manually on the ECS; package unit checks and all ten
selected cursor/PostgreSQL integration tests passed, including interval expansion
and complete fallback. No CI or local build ran. The local authorized Next dev
uses the temporary API through the existing SSH tunnel. Independent Chrome also
verified real homepage/search navigation, a preserved document, one mobile
header/main, no page exceptions and no horizontal overflow. The production Core
was not replaced by these temporary preview updates.