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Merge branch 'release/v18.9.6'

This commit is contained in:
Sander Roosendaal
2023-01-03 18:12:35 +01:00
3 changed files with 31 additions and 7 deletions

View File

@@ -7,7 +7,7 @@ from scipy.stats import linregress, percentileofscore
from pytz import timezone as tz, utc
from rowers.models import course_spline, VirtualRaceResult, InStrokeAnalysis, ForceCurveAnalysis
from bokeh.palettes import Category20c, Category10
from bokeh.layouts import layout, widgetbox
from bokeh.layouts import layout
from bokeh.resources import CDN, INLINE
from rowers.dataprep import timedeltaconv
from pandas.core.groupby.groupby import DataError
@@ -1275,7 +1275,7 @@ def interactive_forcecurve(theworkouts, workstrokesonly=True, plottype='scatter'
plot.xaxis.axis_label = "Angle"
plot.yaxis.axis_label = "Force (N)"
plot.title.text = theworkouts[0].name
plot.title.text_font_size = value("1.0em")
plot.title.text_font_size = "1.0em"
yrange1 = Range1d(start=0, end=900)
plot.y_range = yrange1
@@ -4017,7 +4017,7 @@ def interactive_windchart(id=0, promember=0):
plot.line('dist', 'tw', source=source,
legend_label="Tail (+)/Head (-) Wind (m/s)", color='black')
plot.title.text = row.name
# plot.title.text_font_size=value("1.0em")
# plot.title.text_font_size="1.0em"
plot.title.text_font = "1.0em"
plot.xaxis.axis_label = "Distance (m)"
plot.yaxis.axis_label = "Wind Speed (m/s)"
@@ -4084,7 +4084,7 @@ def interactive_streamchart(id=0, promember=0):
)
plot.line(dist, vstream, legend_label="River Stream Velocity (m/s)")
plot.title.text = row.name
plot.title.text_font_size = value("1.0em")
plot.title.text_font_size = "1.0em"
plot.xaxis.axis_label = "Distance (m)"
plot.yaxis.axis_label = "River Current (m/s)"
plot.y_range = Range1d(-2, 2)
@@ -4456,6 +4456,18 @@ def instroke_interactive_chart(df,metric, workout, spm_min, spm_max,
plot.add_tools(HoverTool(tooltips=TIPS))
if metric == 'boat accelerator curve':
plot.yaxis.axis_label = "Boat acceleration (m/s^2)"
elif metric == 'instroke boat speed':
plot.yaxis.axis_label = "Boat Speed (m/s)"
vavg = mean_vals.median()
elif metric == 'oar angle velocity curve':
plot.yaxis.axis_label = "Oar Angular Velocity (degree/s)"
elif metric == 'seat curve':
plot.yaxis.axis_label = "Seat Speed (m/s)"
plot.xaxis.axis_label = 'Time (%)'
try:
script, div = components(plot)
except ValueError:
@@ -4526,7 +4538,7 @@ def interactive_chart(id=0, promember=0, intervaldata={}):
plot.line('time', 'pace', source=source, legend_label="Pace", name="pace")
plot.title.text = row.name
plot.title.text_font_size = value("1.0em")
plot.title.text_font_size = "1.0em"
plot.sizing_mode = 'stretch_both'
plot.xaxis.axis_label = "Time"
plot.yaxis.axis_label = "Pace (/500m)"
@@ -4825,7 +4837,7 @@ def interactive_multiflex(datadf, xparam, yparam, groupby, extratitle='',
plot.extra_x_ranges = {"watermark": watermarkrange}
plot.title.text = title
plot.title.text_font_size = value("1.0em")
plot.title.text_font_size = "1.0em"
plot.sizing_mode = 'stretch_both'
plot.image_url([watermarkurl], watermarkx, watermarky,
@@ -5987,7 +5999,7 @@ def interactive_flex_chart2(id, r, promember=0,
line_color=None)
plot.title.text = row.name
plot.title.text_font_size = value("1.0em")
plot.title.text_font_size = "1.0em"
plot.sizing_mode = 'stretch_both'
plot.xaxis.axis_label = xaxlabel

View File

@@ -307,6 +307,8 @@ queuelow = django_rq.get_queue('low')
queuehigh = django_rq.get_queue('high')
g_acc = 9.80665
def get_totals(workouts):
totalseconds = 0
totalmeters = 0

View File

@@ -3166,11 +3166,16 @@ def instroke_data(request, metric='', spm_min=15, spm_max=45, activeminutesmin=0
except ValueError:
pass
factor = 1
if metric == 'boat accelerator curve':
factor = g_acc
data = rowdata.get_instroke_data(metric, spm_min=spm_min,
spm_max=spm_max,
activeminutesmin=activeminutesmin,
activeminutesmax=activeminutesmax,
factor=factor,
)
filename = str(uuid4())+'.csv'
@@ -3375,12 +3380,17 @@ def instroke_chart_interactive(request, id=0, analysis=0, userid=0):
activesecondsmin = 60.*activeminutesmin
activesecondsmax = 60.*activeminutesmax
factor = 1
if metric == 'boat accelerator curve':
factor = g_acc
data = rowdata.get_instroke_data(
metric,
spm_min=spm_min,
spm_max=spm_max,
activeminutesmin=activeminutesmin,
activeminutesmax=activeminutesmax,
factor=factor,
)