.. but to avoid being too 'opinionated' about the users
training we limit to the really obvious things and
don't offer any opinion on middling values.
.. LTS > 80 is green > 100 is blue
.. SB < 40 is red -- overtraining
.. RR < -4 or > 8 is red -- detraining or overextending
.. it borders on bollocks given each athlete is different
and training is about managing the overreaching and recovery
to push at those boundaries
.. might end up removing this altogether .. but might flag
stuff up for newbies
.. value that result in nan/inf values need to be cleansed
to ensure the metric array in the rideitem is clean
.. because we load values from json we clean anyway in
PMC data since it seriously breaks the skiba PMC and
development users will have bad data.
.. so it is shared across charts when no filtering
is applied.
.. when filtering is applied then LTMPlot manages
the PMC data itself.
.. now we use the ridecache the PMC update is really
fast anyway.
