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school_compare/docs/superpowers/specs/2026-08-26-school-autosuggest-design.md
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TudorandClaude Opus 5 22c113fc29 docs(suggest): design for school autosuggest
The load-bearing finding is not about autosuggest. The rate limiter keys
on request.client.host, which in staging and prod is the Next container
— so all browser users share one 60/min bucket per route. Measured
against staging: 70 concurrent requests gave exactly 60 x 200 and
10 x 429. Eight concurrent searchers would 429 the site once each
keystroke costs a request, so the keying fix is part of this work.

Both environments are behind Cloudflare, which sets CF-Connecting-IP and
overwrites any client-supplied value — trustworthy in a way a parsed
X-Forwarded-For chain is not, and the backend is unreachable except
through the Next proxy.

Named honestly: the shared bucket has been an accidental global throttle
on a single-process backend, so correct per-user keying removes a
protection. A global ceiling ships with it rather than instead of it.

Suggestions come from Typesense alone. The existing search path filters
a 25,000-row DataFrame per query, which is exactly the cost a keystroke
endpoint cannot pay, so there is deliberately no DataFrame fallback.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015mWQnpye9F299NVRCCSRvj
2026-08-26 19:41:00 +01:00

11 KiB
Raw Blame History

School Autosuggest — Design

Date: 2026-08-26 Status: approved for planning Depends on: the feature-flag layer (PR #125, merged)

Goal

Suggest schools by name as someone types in the site's main search box, so a parent who knows the school they want reaches it in one step instead of searching, scanning a result list, and clicking.

Scope is schools only. Places and postcodes were considered and excluded — see Out of scope.

The finding that shapes everything

The site's rate limiter does not do what it looks like it does.

limiter = Limiter(key_func=get_remote_address) with 60/minute reads request.client.host. In staging and production the backend has no published ports and sits on the internal backend network, so its only caller is the Next proxy — and request.client.host is therefore the Next container, for every browser user on the site.

Measured against staging: 70 concurrent requests to /api/schools returned 60 × 200 and 10 × 429. One machine consumed the whole site's budget for that minute.

Autosuggest is the worst possible feature to build on that. One person typing "st marys primary" produces six to eight debounced requests; eight concurrent searchers would 429 the site. The compare modal's search-as-you-type already shares this bucket, so the exposure exists today — autosuggest makes it certain.

Fixing the keying is therefore part of this work, not a follow-up.

1. Rate-limit keying

Both environments sit behind Cloudflare (server: cloudflare, cf-ray present on staging and production). Cloudflare sets CF-Connecting-IP on every request to the origin and overwrites any client-supplied value, which makes it trustworthy in a way a parsed X-Forwarded-For chain is not.

def client_key(request: Request) -> str:
    """Rate-limit bucket: the real caller, not the proxy in front of them."""
    cf = request.headers.get("cf-connecting-ip")
    if cf:
        return cf.strip()
    xff = request.headers.get("x-forwarded-for")
    if xff:
        return xff.split(",")[0].strip()
    return get_remote_address(request)

nextjs-app/app/api/[...path]/route.ts already forwards every inbound header except host and connection, so CF-Connecting-IP reaches the backend with no proxy change.

Two things make this safe: Cloudflare replaces the header, so a browser cannot forge it; and the backend is unreachable from outside the Docker network, so nothing can reach it without passing through the proxy. The X-Forwarded-For fallback is forgeable, but only by a caller already inside that network.

The part that is not free

The shared bucket has been acting as an accidental global throttle on a single-process uvicorn backend that filters a 25,000-row DataFrame in-process. Correct per-user keying removes that throttle: the origin becomes reachable at 60/min per user rather than 60/min in total.

So the keying fix ships with a global ceiling, not instead of one: slowapi's application-wide default_limits, set above any plausible real load but below what would flood a single worker. 3000/minute, against a per-user suggest limit of 120/minute — so twenty-five simultaneously active searchers are unaffected, while a runaway client or a scraper still meets a wall.

Per-user fairness and origin protection are different jobs and need different limits. Conflating them is what produced the current behaviour.

Both numbers are estimates, not measurements. They are a starting point to revisit against real traffic once the keying is correct enough for real traffic to be visible — which it is not today, because everyone shares one bucket.

2. GET /api/suggest

A dedicated endpoint, not a mode of /api/schools.

The existing search path calls Typesense for URNs and then filters, ranks and sorts the full in-memory DataFrame — a pandas pass per keystroke, holding the GIL and blocking other requests in the same worker. Suggestions need none of it: urn, school_name, phase, school_type, local_authority, postcode and ofsted_rating are all already in the Typesense document (pipeline/scripts/sync_typesense.py).

GET /api/suggest?q=<query>&limit=8
→ 200 {"suggestions": [
      {"urn": 100010, "school_name": "Brecknock Primary School",
       "local_authority": "Camden", "postcode": "NW1 1AA",
       "phase": "Primary", "school_type": "Community school"}
  ]}
  • Under two characters returns {"suggestions": []} with 200. The keystroke path never returns an error for ordinary input.
  • Typesense unavailable returns {"suggestions": []} with 200. There is deliberately no DataFrame fallback: the substring scan /api/schools falls back to is precisely the cost this endpoint exists to avoid, and a silent 25,000-row scan per keystroke is worse than no suggestions.
  • limit is clamped to 20. It is a public endpoint.
  • Rate limit 120/minute per client, not the default 60. A 200 ms debounce tops out near 5 requests/second while someone is actively typing, but averages far below that across a real search; 120 leaves headroom for bursts without letting one client alone consume the global ceiling.
  • Local authority is part of the payload, not decoration. There are many schools called "St Mary's"; a suggestion list without the authority is unusable for exactly the queries autosuggest is meant to serve.

Caching

CACHE_RULES gains ("/api/suggest", (60, 3600, 86400)). Prefix queries repeat enormously across users and school names change once a year.

The client fetch must not use cache: "no-store". The compare modal does, and copying that pattern would throw away both the browser cache and the ETag 304s the existing CacheAndETagMiddleware already provides.

Both environments currently report cf-cache-status: DYNAMIC — Cloudflare ignores the Cache-Control the API already sends, because it does not cache dynamic paths by default. A Cloudflare Cache Rule for /api/suggest* would let the edge absorb most of this traffic and never reach the origin. That is a dashboard change, it is optional, and nothing here depends on it.

3. The combobox

This is an ARIA combobox, not a text input with a list underneath.

Files. FilterBar.tsx is already long. The work splits three ways: hooks/useSchoolSuggest.ts owns fetching, debouncing and cancellation; components/SuggestList.tsx owns rendering and ARIA; FilterBar.tsx wires them to the existing input and form.

Fetching. 200 ms debounce; minimum two characters; an AbortController cancels the superseded request on every keystroke. Cancellation is not an optimisation — without it, a slow response for "st" can land after the fast one for "st marys" and replace a correct list with a stale one.

Suppressed during postcode entry. The box takes a school name or a postcode, and isValidPostcode already distinguishes them. Suggestions do not appear once the value parses as a postcode.

Keyboard. ArrowDown/ArrowUp move the active option, Escape closes and keeps the typed text, Tab closes. Enter with an option active navigates to that school's page. Enter with none active submits the free-text search exactly as it does today — the existing behaviour is preserved, not replaced.

ARIA. role="combobox" with aria-expanded and aria-controls on the input, aria-activedescendant pointing at the active option, role="listbox" on the list and role="option" on each row.

Both instances get it. HomeView renders FilterBar twice — hero and sticky — from one component, so there is one implementation.

4. Behind a flag

Flag school_autosuggest, declared in backend/flags.py, default off.

This is the most-used control on the site and the first change to it in a while. app/page.tsx is an async server component, so it reads the flag and threads it to FilterBar through HomeView — two prop hops, explicit, no client-side flag read.

Off means the input behaves exactly as it does today: no listener, no fetch, no markup. Not a rendered-then-hidden dropdown.

The rate-limit keying is not flagged. It is a correctness fix that should apply whether or not autosuggest is on, and flagging it would mean shipping a known-wrong limiter into production deliberately.

5. Analytics

search_submitted already carries via: 'input'. Selecting a suggestion fires it with via: 'suggestion' plus the chosen urn, so the obvious question — does this actually help, or do people ignore it — has an answer in the data rather than an opinion.

6. Testing

Backend. client_key prefers CF-Connecting-IP, falls back through X-Forwarded-For to the remote address, and two different values get two different buckets. /api/suggest returns matches, returns empty below two characters, returns empty and 200 when Typesense is unavailable, and clamps limit. That it never touches the DataFrame is asserted by making load_school_data raise and requiring the endpoint to answer anyway.

Frontend. The hook debounces, aborts superseded requests, and drops a late-arriving response for a stale query. The list renders the ARIA attributes. Keyboard navigation moves the active option; Enter on an option navigates; Enter on none submits the search.

E2E. With the flag on, typing a known school name shows it and selecting it lands on that school's page. With the flag off, no combobox markup exists. Gated on the flag the same way the distance journeys are — read the observable effect, since /api/flags is denied to the public.

7. Risks

Removing the accidental throttle. Covered in §1. The global ceiling is the mitigation, and 1200/minute is a guess that should be revisited against real traffic rather than treated as a considered number.

Cloudflare bypass. If the origin is reachable without passing through Cloudflare, CF-Connecting-IP is absent and the X-Forwarded-For fallback is forgeable, so limits could be evaded per-request. Closing that properly means Authenticated Origin Pulls or an origin firewall, which is infrastructure work outside this change. Worth doing separately.

Typesense becomes user-visible. Today a Typesense outage degrades search to a slow substring match. With autosuggest it also means the dropdown silently stops appearing. That is the correct failure — quiet, not broken — but it makes Typesense health worth monitoring in a way it was not before.

Out of scope

  • Place suggestions. The 2,646 town, authority and outcode pages are a strong candidate and would route people onto the pages W2 built, but they live in the place registry rather than Typesense, so it is a second index and a ranking rule for comparing two kinds of result. Worth its own change.
  • Postcode completion. Would put postcodes.io in the keystroke path, with its own latency and rate limits.
  • The compare modal. It already has search-as-you-type. Converting it to this component is a reasonable follow-up, not part of this.
  • Recent or popular searches. No storage for either, and no evidence yet that they are wanted.