def main():
io = Io()
io.eval_args()
# holt Messdaten aus --db
meas_doc = io.load_doc()
# holt Konstanten ect. aus --db
base_doc = io.get_base_doc("se2")
# merge der beiden Dokumente
doc = io.update_cal_doc(meas_doc, base_doc)
res = Analysis(doc)
# Berechnungen-Klasse leitet vom Standard se2 ab
cal = Cal(doc)
print(cal.Date.parse_labview_date("Date"))
print(cal.ToDo.Pres.get_value("target", "mbar"))
# Unsicherheits-Klasse leitet auch vom Standard se2 ab
unc = Uncert(doc)
## Bsp. Berechn. Kalibrierdruck, Unsicherh.
cal.pressure_cal(res)
unc.temperature_vessel(res)
def main():
io = Io()
# holt Messdaten aus --db
io.eval_args()
meas_doc = io.load_doc()
# holt Konstanten ect. aus --db
base_doc = io.get_base_doc("se2")
# merge der beiden Dokumente
doc = io.update_cal_doc(meas_doc, base_doc)
ana = Analysis(doc)
res = Result(doc)
val = Values(doc)
# Berechnungen-Klasse leitet vom Standard se2 ab
cal = Cal(doc)
# Unsicherheits-Klasse leitet auch vom Standard se2 ab
unc = Uncert(doc)
cal.temperature_after(ana)
cal.temperature_room(ana)
cal.pressure_cal(ana)
cal.pressure_ind(ana)
cal.pressure_offset(ana)
cal.pressure_indication_error(ana)
cal.measurement_time(ana)
cal.reject_outliers_index(ana)
cal.make_main_maesurement_index(ana)
cal.make_pressure_range_index(ana)
cal.fit_thermal_transpiration(ana)
cal.make_AuxValues_section(ana)
unc.make_offset_stability(ana)
unc.repeat_rel(ana)
unc.u_PTB_rel(ana)
unc.total(ana)
res.make_error_table(ana)
res.make_formula_section(ana)
# key = self.Pres.round_to_n(p_cal, 2)
# p_cal = [np.mean(g.values.tolist()) for _, g in pd.DataFrame(p_cal).groupby(key)]
#print(pd.Series(ana.pick("Pressure","cal","mbar")))
#print(pd.DataFrame(ana.pick("Pressure","cal","mbar")).head())
doc = ana.build_doc("Analysis", doc)
doc = res.build_doc("Result", doc)
io.save_doc(doc)
disp = Display(doc)
disp.SE2_CDG_offset_abs().savefig("offset_stability_abs_" +
str(doc["Calibration"]["Certificate"]) +
".pdf")
disp.SE2_CDG_offset_rel().savefig("offset_stability_rel_" +
str(doc["Calibration"]["Certificate"]) +
".pdf")
disp.SE2_CDG_error_plot().savefig("fit_thermal_transpiration_" +
str(doc["Calibration"]["Certificate"]) +
".pdf")
print("*******")
p_cal = ana.pick("Pressure", "cal", "mbar")
print("*******")
res.ToDo.make_average_index(p_cal, "mbar")
print(res.ToDo.average_index)
print(5 < 3 < 5)
a = np.pi**50
print(val.round_to_uncertainty(a, 0.097, 2))
print(val.round_to_uncertainty_array([123, 456, 789], [0.01, 1, 10], 2))
print(val.round_to_uncertainty(0., 0.01, 2))
print(doc["Calibration"]["CustomerObject"]["Class"])
print(doc["Calibration"]["CustomerObject"]["Owner"]["Name"])
print(doc["Calibration"]["ToDo"]["Name"])
print(doc["Calibration"]["ToDo"]["Values"]["Pressure"]["Unit"])
print(doc["Calibration"]["ToDo"]["Type"])
print(val.unit_convert(5, "Torr", "mbar"))
print(val.unit_convert(5, "Torr"))
print(val.unit_convert(np.asarray([1, 2, 3, 4]), "Torr"))
print(val.unit_convert(np.asarray([1, 2, 3, 4]), "C"))
print(val.unit_convert(np.asarray([1, 2, 3, 4]), "C", "K"))
print(val.unit_convert(np.asarray([1, 2, 3, 4]), "K", "C"))
print(cal.Cons.get_conv("mbar", "Torr"))
print(val.get_object("Type", "p_fill"))
print(cal.Cons.get_conv("C", "K"))
import numpy as np
from vpy.pkg_io import Io
from vpy.analysis import Analysis
from vpy.standard.frs5.cal import Cal as FrsCalc
from vpy.standard.frs5.uncert import Uncert as FrsUncert
from vpy.standard.se2.cal import Cal as Se2Calc
#from vpy.standard.se3.uncert import Uncert as FrsUncert
# python se2_expansion_eval.py --id 'cal-2017-se2|frs5-vg-2001_0001' --log d
if __name__ == "__main__":
io = Io()
log = io.logger(__name__)
log.info("start logging")
doc = io.load_doc()
if doc:
res = Analysis(doc)
se2_calc = Se2Calc(doc)
frs_calc = FrsCalc(doc)
frs_uncert = FrsUncert(doc)
frs_calc.temperature(res)
frs_calc.pressure_res(res)
frs_calc.pressure_cal(res)
frs_uncert.total(res)
# ---------------------------------
##
# script funktioniert nicht mehr
def main():
io = Io()
io.eval_args()
doc = io.load_doc()
unit = "Pa"
if doc:
## save the doc in ana.org
res = Analysis(doc, analysis_type='expansion')
const = Constants(doc=doc)
val = Values({})
## -------------------------
## SE3
## -------------------------
base_doc_se3 = io.get_base_doc("se3")
se3_doc = io.update_cal_doc(doc, base_doc_se3)
se3_calc = Se3Calc(se3_doc)
uncert_se3 = Se3Uncert(se3_doc)
f_names = se3_calc.get_expansion_name()
f_name = f_names[0]
se3_calc.temperature_before(res)
se3_calc.temperature_after(res)
se3_calc.temperature_room(res)
se3_calc.pressure_gn_corr(res)
se3_calc.pressure_gn_mean(res)
se3_calc.expansion(res)
se3_calc.time_meas(res)
se3_calc.real_gas_correction(res)
rg = res.pick("Correction", "rg", "1")
p_0 = res.pick("Pressure", "fill", "Pa")
p_1 = res.pick("Pressure", "cal", "Pa")
T_0 = res.pick("Temperature", "before", "K")
T_1 = res.pick("Temperature", "after", "K")
u_p_0 = uncert_se3.contrib_pressure_fill(p_0, unit, skip_type="A")
u_T_1 = uncert_se3.contrib_temperature_vessel(T_1, "K", skip_type="A")
u_T_0 = uncert_se3.contrib_temperature_volume_start(T_0,
"K",
f_names,
skip_type="A")
res.store("Pressure", "fill", p_0, unit)
res.store("Uncertainty", "fill", u_p_0, unit)
res.store("Temperature", "before", T_0, "K")
res.store("Temperature", "after", T_1, "K")
res.store("Uncertainty", "before", u_T_0, "K")
res.store("Uncertainty", "after", u_T_1, "K")
res.store("Correction", "rg", rg, "1")
## old Standard section does not have delta_heigth
## values
## dh correction for f_s = 0.9999609272217588
dh = 0.9999609272217588
res.store("Correction", "delta_heigth", np.full(len(p_0), dh), "1")
## -------------------------
## frs5
## -------------------------
base_doc_frs5 = io.get_base_doc("frs5")
frs_doc = io.update_cal_doc(doc, base_doc_frs5)
cal_frs = FrsCalc(frs_doc)
uncert = FrsUncert(frs_doc)
cal_frs.temperature(res)
cal_frs.pressure_res(res)
cal_frs.pressure_cal(res)
uncert.total_standard(res, no_type_a=True)
p_1 = res.pick("Pressure", "cal", unit)
u_p_1 = res.pick("Uncertainty", "standard", "1")
res.store("Pressure", "cal", p_1, unit)
res.store("Uncertainty", "cal", u_p_1 * p_1, unit)
## -------------------------
## p_nd
## -------------------------
pres = Pressure(doc)
auxval = AuxValues(doc)
time = Time(doc)
p_nd_offset_before = auxval.get_value("nd_offset_before", "mbar")
p_nd_offset_after = auxval.get_value("nd_offset_after", "mbar")
if p_nd_offset_after:
p_nd_offset = (p_nd_offset_before + p_nd_offset_after) / 2
else:
p_nd_offset = p_nd_offset_before
p_nd_ind = pres.get_value("nd_ind", "mbar")
conv = const.get_conv(from_unit="mbar", to_unit=unit)
p_nd = (p_nd_ind - p_nd_offset) * conv
CustomerDevice = Cdg(doc, io.get_doc_db("cob-cdg-nd_se3"))
u_p_nd = CustomerDevice.get_total_uncert(p_nd_ind,
unit,
unit,
skip_type="A")
res.store("Pressure", "nd_corr", p_nd, unit)
res.store("Uncertainty", "nd_corr", u_p_nd, unit)
## -------------------------
# Unsicherheit Ausgasung:
## -------------------------
p_rise_rate = 3e-8 #Pa/s gemessen: 2019-01-18 08:40:27 (s. state docs)
t = time.get_rmt("amt_meas", "ms")
conv = const.get_conv(from_unit="ms", to_unit="s")
p_rise = p_rise_rate * t * conv
u_p_rise = 0.2 # Druckanstieg 20% Unsicher
res.store("Pressure", "rise", p_rise, unit)
res.store("Uncertainty", "rise", p_rise * u_p_rise / p_1, "1")
## -------------------------
# f:
## -------------------------
p_a = p_1 - p_nd + p_rise
p_b = p_0 * rg * dh
n = len(p_a)
x = np.full(n, 0.0)
y = np.full(n, 0.0)
for i in range(n):
# y[i] = p_a[i]/p_b[i]*T_0[i]/T_1[i] ## okish
if i == 0:
y[i] = p_a[i]
x[i] = p_b[i] * T_0[i] / T_1[i]
else:
#x[i] = p_a[i - 1]/T_1[i -1]*T_0[i]/p_0[i] ## okish
y[i] = p_a[i] - p_a[i - 1] * T_1[i] / T_1[i - 1]
x[i] = p_b[i] * T_1[i] / T_0[i] - p_a[i - 1] * T_1[i] / T_1[i -
1]
f = y / x
f = np.delete(f, f.argmin())
f = np.delete(f, f.argmax())
print(np.mean(f))
print(np.std(f) / np.mean(f))
## -------------------------
# save
## -------------------------
io.save_doc(res.build_doc())