config.ResampleConfig stopped emitting the trigger and resolutions fields,
but MetricPlot still read them. resampleResolutions and resampleMinimum
were therefore always null, which made the array-based resolution branch in
the setScale hook unreachable and the timestep !== resampleMinimum guard
always true. Keep only the policy-based branch and derive the zoom trigger
straight from targetPoints.
configs/config-large.json still carried the removed minimum-points, trigger
and resolutions keys, which DisallowUnknownFields now rejects, so starting
against it aborted. Replace them with the current keys and add a test that
loads the file, so the example configs cannot drift out of the schema
unnoticed again.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The policy -> target-points mapping existed twice with different values:
internal/config (300/600/1000) fed the resampler's MinimumRequiredPoints
threshold, while internal/metricdispatch (200/500/1000) fed the requested
resolution and the frontend target point count.
Because the threshold was larger than the target, the resampler refused to
downsample series whose length fell between the two numbers, silently
dropping the resolution the backend had asked for. With the medium policy
that covered every series between 500 and 600 points.
Move the table into internal/config as the single source of truth (import
direction rules out the reverse, since metricdispatch already imports
config) and keep the 200/500/1000 values, which already drove the requested
resolution. metricdispatch.TargetPointsForPolicy now delegates to it, so
MinimumRequiredPoints equals the target and resampling happens exactly when
a series exceeds it.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>