def global_monitoring_settings():
if covfr.covid_need_update() or covfr.positive_need_update():
upcovfr, updaily, updaily_reg, upcv = CvCreation().cv_load(
covid_state=covfr.covid_need_update(),
positive_state=covfr.positive_need_update())
global_select = request.form.getlist('global_parameters')
rp = RenderPage("graphs.html", **upcv)
rp.pcdim = int(global_select[0])
rp.normalize = eval(global_select[1])
rp.start_d_learn_fr = global_select[2].split(" - ")[0]
rp.end_d_learn_fr = global_select[2].split(" - ")[1]
rp.alpha = float(global_select[3])
rp.charts_pca_global = upcovfr.pca_charts(
data=updaily,
pcdim=rp.pcdim,
normalize=rp.normalize,
start_d_learn=rp.start_d_learn_fr,
end_d_learn=rp.end_d_learn_fr,
alpha=rp.alpha)
return rp.appview()
global_select = request.form.getlist('global_parameters')
rp = RenderPage("graphs.html", **cv)
rp.pcdim = int(global_select[0])
rp.normalize = eval(global_select[1])
rp.start_d_learn_fr = global_select[2].split(" - ")[0]
rp.end_d_learn_fr = global_select[2].split(" - ")[1]
rp.alpha = float(global_select[3])
rp.charts_pca_global = covfr.pca_charts(data=daily,
pcdim=rp.pcdim,
normalize=rp.normalize,
start_d_learn=rp.start_d_learn_fr,
end_d_learn=rp.end_d_learn_fr,
alpha=rp.alpha)
return rp.appview()
def hosp_monitoring_settings():
if covfr.covid_need_update() or covfr.positive_need_update():
upcovfr, updaily, updaily_reg, upcv = CvCreation().cv_load(
covid_state=covfr.covid_need_update(),
positive_state=covfr.positive_need_update())
hosp_select = request.form.getlist('hosp_parameters')
rp = RenderPage("graphs.html", **upcv)
rp.pcdim_reg = int(hosp_select[0])
rp.normalize_reg = eval(hosp_select[1])
rp.start_d_learn_fr_reg = hosp_select[2].split(" - ")[0]
rp.end_d_learn_fr_reg = hosp_select[2].split(" - ")[1]
rp.alpha_reg = float(hosp_select[3])
rp.charts_pca_hosp_reg = upcovfr.pca_charts(
data=updaily_reg,
pcdim=rp.pcdim_reg,
normalize=rp.normalize_reg,
start_d_learn=rp.start_d_learn_fr_reg,
end_d_learn=rp.end_d_learn_fr_reg,
alpha=rp.alpha_reg)
return rp.appview()
hosp_select = request.form.getlist('hosp_parameters')
rp = RenderPage("graphs.html", **cv)
rp.pcdim_reg = int(hosp_select[0])
rp.normalize_reg = eval(hosp_select[1])
rp.start_d_learn_fr_reg = hosp_select[2].split(" - ")[0]
rp.end_d_learn_fr_reg = hosp_select[2].split(" - ")[1]
rp.alpha_reg = float(hosp_select[3])
rp.charts_pca_hosp_reg = covfr.pca_charts(
data=daily_reg,
pcdim=rp.pcdim_reg,
normalize=rp.normalize_reg,
start_d_learn=rp.start_d_learn_fr_reg,
end_d_learn=rp.end_d_learn_fr_reg,
alpha=rp.alpha_reg)
return rp.appview()