def main():
io = Io()
io.eval_args()
ret = {'ok': True}
cmc = False
base_doc = io.get_base_doc("se3")
for id in io.ids:
doc = io.get_doc_db(id)
if io.update:
doc = io.update_cal_doc(doc, base_doc)
cal = Cal(doc)
ana = Analysis(doc, analysis_type="direct")
cus_dev = init_customer_device(doc)
cus_dev.range_trans(ana)
cal.temperature_comp(ana)
cal.temperature_gas_direct(ana)
cal.pressure_gn_corr(ana)
cal.pressure_gn_mean(ana)
temperature_dict = ana.pick_dict('Temperature', 'compare')
gas = cal.Aux.get_gas()
ind_dict = cal.Pres.get_dict('Type', 'ind')
offset_dict = cal.Pres.get_dict('Type', 'ind_offset')
range_dict = cal.Range.get_dict('Type', 'ind')
ind = cus_dev.pressure(ind_dict,
temperature_dict,
range_dict=range_dict,
unit=ana.pressure_unit,
gas=gas)
offset = cus_dev.pressure(offset_dict,
temperature_dict,
range_dict=range_dict,
unit=ana.pressure_unit,
gas=gas)
ana.store("Pressure", "ind", ind, ana.pressure_unit)
ana.store("Pressure", "offset", offset, ana.pressure_unit)
ana.store("Pressure", "ind_corr", ind - offset, ana.pressure_unit)
# error for rating procedures
p_ind = ana.pick("Pressure", "ind_corr", cal.unit)
p_cal = ana.pick("Pressure", "cal", cal.unit)
ana.store('Error', 'ind', p_ind / p_cal - 1.0, '1')
## uncert. calculation
uncert = Uncert(doc)
## we have cmc entries for the FRS
## so we can use the GN uncertainty
u = uncert.contrib_pressure_fill(p_cal, cal.unit)
ana.store("Uncertainty", "standard", u / p_cal, "1")
io.save_doc(ana.build_doc())
print(json.dumps(ret))
def main():
io = Io()
io.eval_args()
ret = {"ok": True}
result_type = "sens"
i_unit = "A"
for id in io.ids:
doc = io.get_doc_db(id)
tdo = ToDo(doc)
if tdo.type not in ["sens"]:
sys.exit("wrong script")
if tdo.type == "sens":
result_type = "sens"
display = Display(doc)
cus_dev = init_customer_device(doc)
analysis = doc.get("Calibration").get("Analysis")
## wrong type:
del analysis["Values"]["Sensitivity"]
ana = Analysis(doc, init_dict=analysis, analysis_type=result_type)
res = Result(doc, result_type=result_type, skip=io.skip)
## conversion to ana.pressure_unit if necessary
cal_dict = ana.pick_dict("Pressure", "cal")
p_ind_corr = ana.pick("Pressure", "ind_corr", i_unit)
p_ind = ana.pick("Pressure", "ind", i_unit)
p_ind_offset = ana.pick("Pressure", "ind_offset", i_unit)
if cal_dict.get("Unit") != ana.pressure_unit:
p_cal = ana.pick("Pressure", "cal", tdo.pressure_unit)
conv = ana.Const.get_conv(from_unit=tdo.pressure_unit,
to_unit=ana.pressure_unit)
p_cal = p_cal * conv
else:
p_cal = ana.pick("Pressure", "cal", ana.pressure_unit)
T_gas = ana.pick("Temperature", "Tuhv", "K")
T_room = ana.pick("Temperature", "Troom", "K")
if T_room is None:
T_room = T_gas
u_std = ana.pick("Uncertainty", "uncertPcal_rel", "1")
## recal Sensitivity
s = p_ind_corr / (cus_dev.emis_current(i_unit) * p_cal)
ana.store("Pressure", "cal", p_cal, ana.pressure_unit)
ana.store("Pressure", "offset", p_ind_offset, i_unit)
ana.store("Sensitivity", "gauge", s, "1/{}".format(ana.pressure_unit))
ana.store("Uncertainty", "standard", u_std, "1")
ana.store("Temperature", "gas", T_gas, "K")
ana.store("Temperature", "room", T_room, "K")
conv = ana.Const.get_conv(from_unit=ana.pressure_unit,
to_unit=tdo.pressure_unit)
average_index = tdo.make_average_index(p_cal * conv,
tdo.pressure_unit,
max_dev=0.2)
## will be filled up with aux values:
d = {}
display.check_outlier_sens(ana)
average_index, reject_index = ana.ask_for_reject(
average_index=average_index)
flat_average_index = ana.flatten(average_index)
if result_type == "sens":
T, Tu = ana.ask_for_bake_out_temperature()
if T is not None:
d["Bakeout"] = True
d["BakeoutTemperature"] = float(T)
d["BakeoutTemperatureUnit"] = Tu
t, tu = ana.ask_for_bake_out_time()
d["BakeoutTime"] = float(t)
d["BakeoutTimeUnit"] = tu
else:
d["Bakeout"] = False
p, pu, t, tu = ana.ask_for_sputter()
if T is not None:
d["Sputter"] = True
d["SputterPressure"] = float(p)
d["SputterPressureUnit"] = pu
d["SputterTime"] = float(t)
d["SputterTimeUnit"] = tu
else:
d["Sputter"] = False
d["AverageIndex"] = average_index
d["AverageIndexFlat"] = flat_average_index
ana.store_dict(quant="AuxValues", d=d, dest=None)
## rm values
p_cal = np.take(p_cal, flat_average_index)
p_ind_corr = np.take(p_ind_corr, flat_average_index)
s = np.take(s, flat_average_index)
## store reduced quant. for plot
ana.store("Pressure",
"red_ind_corr",
p_ind_corr,
i_unit,
dest="AuxValues")
ana.store("Pressure",
"red_cal",
p_cal,
ana.pressure_unit,
dest="AuxValues")
ana.store("Sensitivity",
"red_gauge",
s,
"1/{}".format(ana.pressure_unit),
dest="AuxValues")
## offset contrib
cus_dev.coll_uncert(ana, ind_unit=i_unit)
## default uncert. contrib. repeat
cus_dev.repeat_uncert(ana, ind_unit=i_unit)
cus_dev.digit_uncert(ana, ind_unit=i_unit)
cus_dev.emis_uncert(ana, ind_unit=i_unit)
cus_dev.device_uncert(ana)
## the uncertainty of the standard is
# already calculated at analysis step
ana.total_uncert()
## store red version for plot
u_rep = ana.pick("Uncertainty", "repeat", "1")
u_off = ana.pick("Uncertainty", "offset", "1")
u_tot = ana.pick("Uncertainty", "total_rel", "1")
u_dev = ana.pick("Uncertainty", "device", "1")
u_std = ana.pick("Uncertainty", "standard", "1")
ana.store("Uncertainty",
"red_u_rep",
np.take(u_rep, flat_average_index),
"1",
dest="AuxValues")
ana.store("Uncertainty",
"red_u_std",
np.take(u_std, flat_average_index),
"1",
dest="AuxValues")
ana.store("Uncertainty",
"red_u_dev",
np.take(u_dev, flat_average_index),
"1",
dest="AuxValues")
ana.store("Uncertainty",
"red_u_tot",
np.take(u_tot, flat_average_index),
"1",
dest="AuxValues")
ana.store("Uncertainty",
"red_u_off",
np.take(u_off, flat_average_index),
"1",
dest="AuxValues")
display.plot_uncert(ana)
# start making data sections
res.make_measurement_data_section(ana, result_type=result_type)
# start build cert table
p_cal_mv, p_ind_mv, s_mv, u_mv = res.make_sens_table(
ana,
pressure_unit=ana.pressure_unit,
sens_unit='1/Pa',
uncert_unit="1",
ind_unit="A")
ana.store("Pressure", "ind_mean", p_ind_mv, i_unit, dest="AuxValues")
ana.store("Pressure",
"cal_mean",
p_cal_mv,
ana.pressure_unit,
dest="AuxValues")
ana.store("Sensitivity",
"gauge_mean",
s_mv,
"1/{}".format(ana.pressure_unit),
dest="AuxValues")
ana.store("Uncertainty", "total_mean", u_mv, "1", dest="AuxValues")
display.plot_mean(ana)
doc = ana.build_doc("Analysis", doc)
doc = res.build_doc("Result", doc)
io.save_doc(doc)
def main():
io = Io()
io.eval_args()
args = sys.argv
fail = False
ret = {'ok': True}
unit = "Pa"
if '--ids' in args:
idx_ids = args.index('--ids') + 1
try:
ids = args[idx_ids]
ids = ids.split('@')
except:
fail = True
if not fail and len(ids) > 0:
for id in ids:
id = id.replace("\"", "")
## -------------------------
## se3
## -------------------------
base_doc_se3 = io.get_base_doc("se3")
doc = io.get_doc_db(id)
doc = io.update_cal_doc(doc, base_doc_se3)
res = Analysis(doc, analysis_type="expansion")
uncert_se3 = UncertSe3(doc)
cal_se3 = CalSe3(doc)
f_names = cal_se3.get_expansion_name()
f_name = f_names[0]
cal_se3.pressure_gn_corr(res)
cal_se3.pressure_gn_mean(res)
cal_se3.temperature_before(res)
cal_se3.temperature_after(res)
cal_se3.real_gas_correction(res)
cal_se3.correction_delta_height(res)
rg = res.pick("Correction", "rg", "1")
dh = res.pick("Correction", "delta_heigth", "1")
p_0 = res.pick("Pressure", "fill", unit)
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")
## -------------------------
## p_nd
## -------------------------
customer_device = doc['Calibration']['CustomerObject']
CustomerDevice = Cdg(doc, customer_device)
temperature_dict = res.pick_dict('Temperature', 'before')
gas = cal_se3.get_gas()
ind_dict = cal_se3.Pres.get_dict('Type', 'nd_ind')
offset_dict = cal_se3.Pres.get_dict('Type', 'nd_offset')
ind = CustomerDevice.pressure(ind_dict,
temperature_dict,
unit=unit,
gas=gas)
offset = CustomerDevice.pressure(offset_dict,
temperature_dict,
unit=unit,
gas=gas)
p_nd = ind - offset
u_p_nd = CustomerDevice.get_total_uncert(p_nd,
unit,
unit,
skip_type="A")
## -------------------------
## frs5
## -------------------------
base_doc_frs5 = io.get_base_doc("frs5")
doc = io.update_cal_doc(doc, base_doc_frs5)
res = Analysis(doc, analysis_type="expansion")
cal_frs = CalFrs(doc)
res = Analysis(doc)
uncert = UncertFrs(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") * p_1
## -------------------------
## f
## -------------------------
corr_tem = T_0 / T_1
f = (p_1 - p_nd) / (p_0 * rg * dh) * corr_tem
s_p_1 = 1 / p_0 * corr_tem
s_p_0 = -(p_1 - p_nd) / (p_0**2) * corr_tem
s_p_nd = 1 / p_0 * corr_tem
s_T_0 = (p_1 - p_nd) / (p_0) / T_1
s_T_1 = -(p_1 - p_nd) / (p_0) * T_0 / T_1**2
uc_p_1 = (s_p_1 * u_p_1)
uc_p_0 = (s_p_0 * u_p_0)
uc_p_nd = (s_p_nd * u_p_nd)
uc_T_1 = (s_T_1 * u_T_1)
uc_T_0 = (s_T_0 * u_T_0)
u = (uc_p_1**2 + uc_p_0**2 + uc_p_nd**2 + uc_T_1**2 +
uc_T_0**2)**0.5
res.store("Expansion", f_name, f, "1")
res.store("Pressure", "nd_offset", offset, unit)
res.store("Pressure", "nd_corr", p_nd, unit)
res.store("Uncertainty", "nd_corr", u_p_nd, unit)
res.store("Pressure", "fill", p_0, unit)
res.store("Uncertainty", "fill", u_p_0, unit)
res.store("Pressure", "cal", p_1, unit)
res.store("Uncertainty", "cal", u_p_1 * p_1, 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("Uncertainty", "total", u, "1")
res.store("Correction", "delta_heigth", dh, "1")
res.store("Correction", "rg", rg, "1")
res.store("Correction", "temperature", corr_tem, "1")
doc = res.build_doc()
doc["Calibration"]["Standard"] = [
base_doc_se3["Standard"], base_doc_frs5["Standard"]
]
io.save_doc(doc)
print("------------------- p_nd:")
print(p_nd)
print(ind_dict["SdValue"])
print(offset_dict["SdValue"])
print("-------------------u p_0:")
print(u_p_0 / p_0)
print("-------------------u p_1:")
print(u_p_1)
print("-------------------u p_nd:")
print(u_p_nd)
#f = np.delete(f, f.argmin())
#f = np.delete(f, f.argmax())
print("-------------------f:")
print(f)
print(np.mean(f))
print(np.std(f))
print(np.std(f) / np.mean(f))
print(np.std(f) / np.mean(f) / (len(f) - 1)**0.5)
print("-------------------u:")
print(u / f)
def main(io, config):
io.eval_args()
doc = {"_id": "cal-sim-se3",
"Calibration":{"ToDo":{"Standard": "SE3",
"Type": "error"},
"Measurement":{}}}
struct_path = config.get("struct_path")
values_file = config.get("values_file")
cal_file = config.get("cal_file")
##-----------------------------------------
## standard
##-----------------------------------------
base_doc = io.get_base_doc("se3")
doc = io.update_cal_doc(doc, base_doc)
vals = io.read_json("{}/{}".format(struct_path, values_file))
aux_vals = io.read_json("{}/meas_aux_values.json".format(struct_path))
ana_aux_vals = io.read_json("{}/ana_aux_values.json".format(struct_path))
doc['Calibration']['Measurement']['Values'] = vals
doc['Calibration']['Measurement']['AuxValues'] = aux_vals
##-----------------------------------------
## device
##-----------------------------------------
doc['Calibration']['CustomerObject'] = config.get("customer_object")
##-----------------------------------------
## ini
##-----------------------------------------
ana = Analysis(doc, insert_dict={'AuxValues': ana_aux_vals}, analysis_type="expansion")
cal = Cal(doc)
cal.all(ana)
Uncert(doc).total(ana)
cus_dev = init_customer_device(doc)
gas = config.get("gas")
temperature_dict = ana.pick_dict('Temperature', 'after')
offset_dict = cal.Pres.get_dict('Type', 'ind_offset' )
ind_dict = cal.Pres.get_dict('Type', 'ind' )
range_dict = cal.Range.get_dict('Type', 'ind' )
offset = cus_dev.pressure(offset_dict, temperature_dict, range_dict=range_dict, unit = cal.unit, gas=gas)
ind = cus_dev.pressure(ind_dict, temperature_dict, range_dict=range_dict, unit = cal.unit, gas=gas)
ana.store("Pressure", "offset", offset, cal.unit)
ana.store("Pressure", "ind", ind, cal.unit)
ana.store("Pressure", "ind_corr", ind - offset, cal.unit)
p_ind = ana.pick("Pressure", "ind_corr", cal.unit)
p_cal = ana.pick("Pressure", "cal" , cal.unit)
ana.store('Error', 'ind', p_ind/p_cal-1, '1')
cus_dev.range_trans(ana)
cus_dev.offset_uncert(ana)
cus_dev.repeat_uncert(ana, cmc=False)
if "uncert_dict" in dir(cus_dev):
u_add = cus_dev.get_total_uncert(meas_vec=p_ind,
meas_unit=ana.pressure_unit,
return_unit=ana.error_unit,
res=ana,
skip_source="standard",
prefix=False)
cus_dev.device_uncert(ana)
ana.total_uncert()
with open("{}/{}".format(struct_path, cal_file), 'w') as f:
json.dump(ana.build_doc(), f, indent=4, ensure_ascii=False)
def main():
io = Io()
io.eval_args()
ret = {'ok':True}
cmc = True
base_doc = io.get_base_doc("se3")
for id in io.ids:
id = id.replace("\"", "")
doc = io.get_doc_db(id)
if io.update:
doc = io.update_cal_doc(doc, base_doc)
cal = Cal(doc)
if io.auxval: ## get new the AuxValues from related (meas_date) state measurement
meas_date = cal.Date.first_measurement()
state_doc = io.get_state_doc("se3", date=meas_date)
ana = Analysis(doc, analysis_type="expansion")
cal.insert_state_results(ana, state_doc)
else: ## keep AuxValues from Calibration.Analysis.AuxValues
auxvalues = doc.get('Calibration').get('Analysis', {}).get('AuxValues', {})
ana = Analysis(doc, insert_dict={'AuxValues': auxvalues}, analysis_type="expansion")
cus_dev = init_customer_device(doc)
uncert = Uncert(doc)
cal.pressure_gn_corr(ana)
cal.pressure_gn_mean(ana)
cal.deviation_target_fill(ana)
cal.temperature_before(ana)
cal.temperature_after(ana)
cal.temperature_room(ana)
cal.temperature_gas_expansion(ana)
cal.real_gas_correction(ana)
cal.volume_add(ana)
cal.volume_start(ana)
cal.expansion(ana)
cal.pressure_rise(ana)
cal.correction_delta_height(ana)
cal.correction_f_pressure(ana)
cal.pressure_cal(ana)
cal.error_pressure_rise(ana)
cal.deviation_target_cal(ana)
## uncert. calculation
if cmc:
# bis update CMC Einträge --> vorh. CMC Einträge
# cal uncertainty of standard
uncert.cmc(ana)
else:
uncert.define_model()
uncert.gen_val_dict(ana)
uncert.gen_val_array(ana)
uncert.volume_start(ana)
uncert.volume_5(ana)
uncert.pressure_fill(ana)
uncert.temperature_after(ana)
uncert.temperature_before(ana)
uncert.expansion(ana)
uncert.total(ana)
## calculate customer indication
gas = cal.Aux.get_gas()
temperature_dict = ana.pick_dict('Temperature', 'after')
offset_dict = cal.Pres.get_dict('Type', 'ind_offset' )
ind_dict = cal.Pres.get_dict('Type', 'ind' )
range_dict = cal.Range.get_dict('Type', 'ind' )
offset = cus_dev.pressure(offset_dict, temperature_dict, range_dict=range_dict, unit = cal.unit, gas=gas)
ind = cus_dev.pressure(ind_dict, temperature_dict, range_dict=range_dict, unit = cal.unit, gas=gas)
ana.store("Pressure", "offset", offset, cal.unit)
ana.store("Pressure", "ind", ind, cal.unit)
ana.store("Pressure", "ind_corr", ind - offset, cal.unit)
p_ind = ana.pick("Pressure", "ind_corr", cal.unit)
p_cal = ana.pick("Pressure", "cal" , cal.unit)
if cal.ToDo.type == "error":
ana.store('Error', 'ind', p_ind/p_cal-1, '1')
cus_dev.range_trans(ana)
if cal.ToDo.type == "sigma":
ana.store('Error', 'ind', p_ind/p_cal-1, '1') ## used for check analysis
ana.store('Sigma', 'eff', p_ind/p_cal, '1')
io.save_doc(ana.build_doc())
print(json.dumps(ret))
