The layer recorded failure in a single `_error` string. Every city feed is
fetched independently, so one retired operator set that flag for the whole
layer — and the only code that cleared it ran on a successful *activation*,
which `runProximityCheck` skips for a city that already has rendered points.
A dead feed that re-entered camera range therefore set the flag on every
camera move and nothing ever cleared it: a permanent LOAD FAILED over a map
drawing every other city's stations.
Failure is now tracked per city in `_failedCityIds`, and `getStats()` reports
it only when the failures left nothing to draw. A city that recovers removes
its own entry rather than waiting for a neighbour to succeed.
This was reachable only because Buffalo sits 95 km from Toronto, inside the
100 km activation radius — the one dead city in the registry with a healthy
neighbour in range. The other four failed alone, where LOAD FAILED with an
empty map reads as correct, which is why the latch went unnoticed.
Probing all 33 registry systems found five dead. Three had moved and are
repointed: Reddy Bikeshare (Buffalo) to Social Bicycles, Tugo (Tucson) and
Trinity Metro (Fort Worth) to PBSC, all verified serving stations. Two are
dropped because the systems wound down rather than moved — Broward B-cycle
404s at every documented endpoint, and CoGo's replacement Lyft feed publishes
zero stations with status last reported in March 2025. `gbfs.cogobikeshare.com`
no longer resolves, so its allowlist entry goes too.
All 31 remaining systems were verified live, and every registry URL was
checked against the proxy host and path allowlists.
Toronto runs the same PBSC platform as the Austin, Honolulu and
Chattanooga systems already in the registry, and publishes the identical
GBFS v2 endpoint pair under `toronto.publicbikesystem.net`. The proxy
allowlist already admits the host through its `*.publicbikesystem.net`
wildcard and the paths end in the expected `station_information.json` /
`station_status.json`, so the system needs no new plumbing — only the
registry entry that names it.
Verified against the live feeds: 1,069 stations in both documents, all
1,069 joining on `station_id`. The layer reads `num_bikes_available`,
which Toronto populates normally, so availability renders without a
vendor-specific mapping. It does not populate the standard
`num_bikes_available_types`, reporting per-type counts under PBSC ids
(ICONIC/BOOST/EFIT/ASTRO) instead; nothing reads that field today, and
this entry deliberately does not translate it rather than adding a
mapping with no consumer.
The center is downtown at 43.6532, -79.3832 with the group's 90 km load
radius. The stations span roughly 37 km east-west, from Etobicoke to
Scarborough, so a tighter radius would drop the outer ends on a downtown
pan.
The new registry test is the reason this was cheap to be sure about: it
holds every city's feed URLs against the same host and path predicates
the proxy enforces, so a city the proxy would silently refuse now fails
the suite instead of rendering an empty layer.
Credited to Bike Share Toronto (Toronto Parking Authority). The City's
open-data package declares no licence and the feed publishes no
`license_url`, so it is treated as attribution-only, like the other GBFS
operators, rather than claiming a licence that was never granted.
Cliff Flood