Code review, both findings valid.
The design doc claimed Cloudflare "replaces the header, so a browser
cannot forge it", and that only the X-Forwarded-For fallback was
forgeable. That is true only for traffic that actually passed through
Cloudflare, and nothing in this process can verify that it did. Reaching
the origin directly, both headers are equally attacker-controlled — and
rotating CF-Connecting-IP mints a fresh rate-limit bucket per request,
defeating per-client limits on every endpoint including the
DataFrame-heavy /api/schools. Against abuse that is worse than the
shared bucket it replaced, which at least capped everyone together.
So the ceiling comes back. I dropped it earlier arguing it belonged at
Cloudflare; that argument assumed the keying was sound, and it is not.
GlobalRateLimitMiddleware counts all /api/ traffic in a fixed window
against a total, independent of client identity, outermost so it refuses
before any work happens. Written by hand because slowapi cannot express
a global cap: default_limits and application_limits are both keyed by
key_func, and the latter needs middleware this app does not install.
It does not make the header trustworthy — it makes trusting it
survivable. The real fix is Authenticated Origin Pulls or an origin
firewall, now documented in DEPLOY.md as the open gap it is.
127.0.0.1 is exempt: the healthcheck curls localhost from inside the
container, and starving it would restart the container and turn a load
spike into an outage loop. Keyed on the peer address, never the Host
header, which the caller sets.
Second finding: suggest_schools_typesense promised "never raises" while
the parsing loop sat outside the try, so int(None) on a malformed
document would have made a keystroke a 500. The loop now skips bad rows
rather than dropping the whole list — and a hit with no document no
longer becomes a suggestion pointing at /school/0.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015mWQnpye9F299NVRCCSRvj
A dedicated endpoint rather than a mode of /api/schools, because that
path filters and sorts 25,000 pandas rows per query while holding the
GIL — affordable once per search, not once per keystroke. A test asserts
the distinction directly by making load_school_data raise and requiring
the endpoint to answer anyway.
Nothing errors on ordinary input: a short query, no matches, or
Typesense being down are all 200 with an empty list.
Cached deliberately. Prefix queries repeat enormously across users and
school names change once a year, so s-maxage plus the existing ETag
middleware turns most keystrokes into 304s.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015mWQnpye9F299NVRCCSRvj
search_schools_typesense returns URNs, which forces the caller to
hydrate from the 25,000-row in-memory frame. Every field a suggestion
needs is already in the Typesense document, so this returns documents
and the caller needs no pandas at all — the difference between a query
that can run per keystroke and one that cannot.
Never raises. Typesense unreachable or erroring gives an empty list,
because a dropdown that quietly stops appearing is the right failure for
a keystroke path.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015mWQnpye9F299NVRCCSRvj