fix(stats): align rolling directional loss with window counts
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@@ -38,6 +38,26 @@ are replayed in arrival order; backdated events cannot move the window backwards
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Reading a snapshot does not advance time. Use count-based rolling storage for a
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hard bound on retained events. The memory estimate excludes time-window storage.
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Rolling directional loss uses the increase in the highest observed server
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receive count across the retained packet events in arrival order. Upstream loss
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is window sends minus that increase; downstream loss is the increase minus all
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window replies, including duplicates and untracked late replies, as in cumulative
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accounting. The baseline is the highest count observed before the first retained
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packet event, or zero if no earlier packet events existed. Each retained event
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keeps this prior position, so eviction cannot erase a known baseline. Reordered
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counts do not move the observation backwards; only matched unique replies supply
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counter observations, regardless of the late-reply timing policy.
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Both directional packet estimates are `None` if the baseline or endpoint is
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unknown, or if time filtering excludes a packet event between retained packet
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events. Their percentage fields use the existing unavailable value of `0.0`.
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Loss/warning events do not affect this interval. A boundary between a send and
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its reply can still produce signed estimates, and outstanding sends retain the
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existing provisional-loss interpretation. These are changes in observed
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accounting, not exact network transit loss for probes sent in a wall-clock period.
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Raw `server_packets_received`, ordinary packet counts, and cumulative loss retain
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their existing meanings.
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Exact snapshots sort a temporary copy of each metric's retained samples, adding
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O(n) scratch memory and O(n log n) computation for that metric. The retention
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estimate is not peak snapshot or allocator accounting.
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