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Anso
9f2f13f35a
* feat(stack-files): in-process metrics and structured mutation logs
Adds FileExplorerMetricsService, an in-memory counter and latency
histogram keyed by (nodeId, op) modelled on StackOpMetricsService.
record() is called once per file-route request from a small
recordFileOp helper that wraps the metric capture; rejection paths
that ran real filesystem work (overwrite confirms, write conflicts,
multer oversize) now record an error count and a warn log instead of
disappearing from the snapshot. recordUploadBytes tracks bytes that
actually persisted so a node taking many small uploads vs a few large
ones is visible in the dashboard.
Admin-only GET /api/file-explorer-metrics returns the snapshot in the
same shape as /api/stack-metrics so an operator chasing a slow node
has a single place to look. No external telemetry; everything is
process-local and resets on restart.
Mutation INFO lines now carry op, stack, path, and bytes/mode/
recursive/overwrite/toPath in the structured details so log scrapers
can pivot on the same identity the metric uses. The existing
developer_mode gate on logFileDiag is unchanged. A new
rejectFileMutation helper centralises the log+metric+response triple
on the three rejection sites (upload DIR_EXISTS, upload FILE_EXISTS,
write PRECONDITION_FAILED) so a future rejection cannot skip the
metric.
Tests cover the service in isolation (counts, p50/p95, ring buffer cap,
upload bytes tracking, snapshot sorting), the admin route auth and
shape, and the route layer end-to-end: a real upload surfaces in
/api/file-explorer-metrics, a FILE_EXISTS rejection bumps errorCount,
and the structured INFO line carries the expected fields.
* fix(stack-files): tighten download/upload latency tracking
Two metric-accuracy bugs caught in independent review:
Download metric was recorded as a success before result.stream.pipe(res)
ran. A mid-stream read failure or a client disconnect was not counted as
an error because the recorder fired at pipe time, not stream completion.
Now the recorder hangs off res.on('finish') for success and on both the
stream's error event and res.on('close') for failure, with a flag so a
normal completion (which emits both finish and close) does not produce
two recordings.
Upload latency was inconsistent across the success and failure branches.
The multer wrapper captured startedAt at route entry, but the async
handler created its own startedAt after multer had already buffered the
body. Successful uploads therefore reported only the post-multer time
and the multipart transfer/buffer cost vanished from the histogram. The
wrapper now stashes the route-entry timestamp on the request object and
the async handler reads it back, so every metric for a given upload
shares one window.
A new test pins the download recorder behaviour: a single successful
download must produce successCount=1, count=1, errorCount=0 in the
snapshot, which would have flagged the original double-fire path the
finish+close pair could have introduced.