In an effort to ensure uniform and uppx-optimized last datum graphics
updates call this method directly instead of the equivalent graphics
object thus ensuring we only update the last pixel column according with
the appropriate max/min computed from the last uppx's worth of data.
Fixes / improvements to enable `.draw_last()` usage include,
- change `Viz._render_table` -> `._alt_r: tuple[Renderer, pg.GraphicsItem] | None`
which holds an alternative (usually downsampled) render and graphics
obj.
- extend the `.draw_last()` signature to include:
- `last_read` to allow passing in the already read data from
`.update_graphics()`, if it isn't passed then a manual read is done
internally.
- `reset_cache: bool` which is passed through to the graphics obj.
- use the new `Formatter.flat_index_ratio: float` when indexing into xy
1d data to compute the max/min for that px column.
Other,
- drop `bars_range` input from `maxmin()` since it's unused.
For the purposes of avoiding another full format call we can stash the
last rendered 1d xy pre-graphics formats as
`IncrementalFormatter.x/y_1d: np.ndarray`s and allow readers in the viz
and render machinery to use this data easily for things like "only
drawing the last uppx's worth of data as a line". Also add
a `.flat_index_ratio: float` which can be used similarly as a scalar
applied to indexes into the src array but instead when indexing
(flattened) 1d xy formatted outputs. Finally, this drops the way
overdone/noisy `.__repr__()` meth we had XD
When a new tick comes in but no new time step / bar is yet needed (to be
appended) we can simply adjust **only** the last bar datum
lines-graphic(s) to avoid a redraw of the preceding `QPainterPath` on
every tick. Do this by calling `Viz.draw_last()` on the fast and slow
chart and adjusting the guards around calls to `Viz.update_graphics()`
(which *does* update paths) to only enter when there's a `do_px_step`
condition. We can stop calling `main_viz.plot.vb._set_yrange()` on view
treading cases since the range should have already been adjusted by the
clearing-tick processing mxmn updates.
Further this changes,
- the `chart_maxmin()` helper (which we should eventually just get rid
of) to take bound in `Viz`s for the ohlc and vlm chart instead of the
chart widget handles.
- extend the guard around hist viz yranging to only enter when not in
"axis mode" - the same as for the fast viz.
Since we removed the `Viz.update_graphics()` call from the main rt loop
we have to be sure to call it in the history chart incr-loop to avoid
a gap between the last bar and prior history since startup. We only
need to update on tread since that should be the only time a full redraw
is ever necessary, ow only the last datum is needed.
Further this moves the graphics cycle func's profiler init to the top in
an effort to get more correct latency measures.
Since `ChartPlotWidget.update_graphics_from_flow()` is more or less just
a call to `Viz.update_graphics()` try to call that directly where
possible.
Changes include:
- calling the viz in the display state specific `maxmin()`.
- passing a viz instance to each `ChartView._set_yrange()` call (in prep
of explicit group auto-ranging); not that this input is unused in the
method for now.
- drop `bars_range` var passing since we don't use it.
Inside `._interaction` routines we need access to `Viz` instances.
Instead of doing `CharPlotWidget._vizs: dict` lookups this ensures each
plot can lookup it's (parent) viz without error.
Also, adjusts `Viz.maxmin()` output parsing to new signature.
Computes the maxmin values for each underlying plot's in-view range as
well as the max up/down swing (in percentage terms) from the plot with
most dispersion and returns a all these values plus a `dict` of plots to
their ranges as part of output.
Move the `Viz.datums_range()` call into `Viz.maxmin()` itself thus
minimizing the chart `.maxmin()` method to an ultra light wrapper around
the viz call. Also move all profiling into the `Viz` method.
Adjust `Viz.maxmin()` to return both the (rounded) x-range values which
correspond to the range containing the y-domain min and max so that
it can be used for up and coming overlay group maxmin calcs.
We obviously don't want to be debugging a sample-index issue if/when the
market for the asset is closed (since we'll be guaranteed to have
a mismatch, lul). Pass in the `feed_is_live: trio.Event` throughout the
backfilling routines to allow first checking for the live feed being active
so as to avoid breakpointing on false +ves. Also, add a detailed warning
log message for when *actually* investigating a mismatch.
Likely pertains to helping with stuff in issues #345 and #373 and just
generally is handy to have when processing ledgers / clearing event
tables.
Adds the following helper methods:
- `iter_by_dt()` to iter-sort an arbitrary `Transaction`-like table of
clear entries.
- `Position.iter_clears()` as a convenience wrapper for the above.
This should never really happen but when it does it appears to be a race
with writing startup pre-graphics-formatter array data where we get
`x_end` epoch value subtracting some really small offset value (like
`-/+0.5`) or the opposite where the `x_start` is epoch and `x_end` is
small.
This adds a warning msg and `breakpoint()` as well as guards around the
entire code downsampling code path so that when resumed the downsampling
cycle should just be skipped and avoid a crash.
This attempt was unsuccessful since trying to (re)select the last
highlighted item on both an "enter" or "click" of that item causes
a hang and then segfault in `Qt`; no clue why..
Adds a `keep_current_item_selected: bool` flag to
`CompleterView.show_cache_entries()` but using it seems to always cause
a hang and crash; we keep all potential use spots commented for now
obviously to avoid this. Also included is a bunch of tidying to logic
blocks in the kb-control loop for readability.
Whenever the last datum is in view `slice_from_time()` need to always
spec the final array index (i.e. the len - 1 value we set as
`read_i_max`) to avoid a uniform-step arithmetic error where gaps in the
underlying time series causes an index that's too low to be returned.
Goes back to always adjusting the y-axis range to include the L1 spread
and clearing label in view whenever the last datum is also in view,
previously this was broken after reworking the display loop for
multi-feeds.
Drops a bunch of old commented tick looping cruft from before we started
using tick-type framing. Also adds more stringent guards for ignoring
but error logging quote values that are more then 25% out of range; it
seems particularly our `ib` feed has some issues with strange `price`
values that are way off here and there?
- adjust zoom focal to be min of the view-right coord or the right-most
point on the flow graphic in view and drop all the legacy l1-in-view
focal point cruft.
- flip to not auto-scaling overlays by default.
- change the `._set_yrange()` margin to `0.09`.
- drop `use_vr: bool` usage.
Use proper uppx scaling when either of scaling the data to the x-domain
index-range or when the uppx is < 1 (now that we support it) such that
both the fast and slow chart always appropriately scale and offset to
the y-axis with the last datum graphic just adjacent to the order line
arrow markers.
Further this fixes the `.index_step()` calc to use the "earliest" 16
values to compute the expected sample step diff since the last set often
contained gaps due to start up race conditions and generated
unexpected/incorrect output.
Further this drops the `.curve_width_pxs()` method and replaces it with
`.px_width()`, taken from the graphics object API and instead returns
the pixel account for the whole view width instead of the
x-domain-data-range within the view.
In the case where the last-datum-graphic hasn't been created yet, simply
return a `None` from this method so the caller can choose to ignore the
output. Further, drop `.px_width()` since it makes more sense defined on
`Viz` as well as the previously commented `BarItems.x_uppx()` method.
Also, don't round the `.x_uppx()` output since it can then be used when
< 1 to do x-domain scaling during high zoom usage.
Doesn't seem like we really need to handle the situation where the start
or stop input time stamps are outside the index range of the data since
the new binary search handling via `numpy.searchsorted()` covers this
case at minimal runtime cost and with an equally correct output. Allows
us to drop some other indexing endpoint internal variables as well.
Tyler Goodlet