* ✨ Extend backend histogram buckets beyond 7.5s
Give every backend timing histogram a tail past the shared 7500ms cap
so slow RPC calls, CLIMIT waits and background tasks report real
quantiles instead of clipping at the top bucket.
Request and wait metrics grow to 60s, background tasks to 300s and
Redis eval to 10s; the sub-7.5s buckets stay untouched to keep the
history comparable.
Closes#12408
AI-assisted-by: muse-spark-1.3-contributor
* 🐛 Fix flaky assertion in climit republish test
Read the last published waiting value instead of the exact
publication list. The sampler thread started with the component
runs its first tick asynchronously, and when it lands inside the
recording window it publishes the same count twice, which made
the full-suite CI run fail while focused runs stayed green.
AI-assisted-by: muse-spark-1.3-contributor
* ✨ Add file_data blob to JSON decode helper
Allow decoding file_data blobs (app.util.blob) to JSON
for investigations with jq, offline from a blob file or
from nREPL with the backend running.
AI-assisted-by: muse-spark-1.3-contributor
* ✨ Add validation step timings to update-file logs and metrics
Measure the six phases inside process-changes-and-validate
(resolve-libs, process-changes, soft and hard affected and
schema validations) with tpoint and try/finally, so timings
are recorded even when a hard validation throws.
Publish each phase to a new histogram
penpot_rpc_update_file_validation_timing with a fixed step
label using the request buckets (up to 60000 ms), and extend
the update-file debug log with the same *-ms fields plus
file, project and team ids. The deferred log only runs on
success, so failures get an inline error log with partial
timings.
AI-assisted-by: muse-spark-1.3-contributor
* 💄 Translate decode-file-data comments to English
Translate the Spanish docstrings, section headers and test
messages of the file_data decode helper to English, keeping
code untouched. The repo convention is English in code and
comments; the helper was first written in Spanish.
AI-assisted-by: muse-spark-1.3-contributor
The merge of main into staging brought the closed storage metadata
schema, which requires file-id and id on file-data objects. The
restore test built one without those keys, so it failed with an
invalid metadata error. Its helper now takes extra metadata and
the test passes the ids of the file and of its file-data row, as
production does.
The republish test asserted the exact list of waiting-gauge
publications, but the component's sampler starts its first tick right
away and under load lands inside the recorded window, publishing the
same count twice. The test now builds the counters alone, so the
republish call is the only publisher.
AI-assisted-by: deepseek-v4.1-flash
The queue gauge was written by whichever limiter of a name ran last, so a
per-profile pile-up never showed: a healthy profile writing 0 overwrote the
15 of the profile that was queueing (4 of 1441 samples in production), and
a limiter whose requests never come back read 0 while 72 threads stayed
parked.
A queue is an entry and an exit, so the new gauge is accumulated: one
counter per limiter name and instance, up when a call starts waiting for a
permit, down when it stops, so a call that never leaves stays visible. It
is always written with `:val`, and a daemon sampler republishes every count
every 15s so a name whose traffic died does not go stale in the scrape;
halting the component stops that thread.
Rejections had no metric at all: penpot_rpc_climit_rejected_total counts
them by name and reason (queue-full or timeout), and the log lines now
carry queue-max, permits, code and reason, so an operator can tell whether
the limiter did its job or was saturated.
The gauges that could not tell the truth are gone: queue and permits (same
last-write-wins problem, and waiting plus the wait histogram replace them)
and http_worker_busy_threads (reads 0 on an instance with 72 blocked
threads; pool_size is the signal). No other dashboard or alert rule reads
them.
AI-assisted-by: deepseek-v4.1-flash
An instance left the audit events pipeline dead: every push-audit-events
answered with 429 and 69 worker threads parked for good inside a limiter.
Two code paths of one profile acquired the same two limiters in opposite
order: a command declaring its own limits (upload-file-media-object) took
process-image/by-profile and then root/by-profile, while a command with no
limits of its own took the roots first and then re-entered climit from
inside its handler with the same ids (create-file-media-object-from-url).
Each path held what the other one waited for, and no limiter had a timeout
to break the wait.
Now wrap puts the root limiters after the command's own, so they end up
outermost and every path meets them first: the nested chains carry only the
command's own limits and run inside them, which puts both paths in the same
order. impl-invoke also keeps, per thread, the set of limiters that thread
is inside of and runs the handler inline when a call asks for one it
already holds, so a handler can no longer queue behind itself.
The shipped climit.edn sets a timeout on every limiter (60s for operations
that can be slow, 30s otherwise), so no wait can park a thread for ever.
The production file lives outside the repository and has to be mirrored.
Tests cover the acquisition order, the deadlock, the reentrancy and the
timeouts of the shipped config.
AI-assisted-by: deepseek-v4.1-flash
