def parse_from_image_measurements(parser_image_measurements, testconf, args):
# imgMeasureFile = testconf.folder.image / 'processed' / (testconf.info.name + '.measurements.json')
imgMeasureFile = testconf.folder.images / 'processed' / 'data.json'
imgMeasureFile = imgMeasureFile.resolve()
imgMeasurements = Json.load_json(imgMeasureFile.parent.as_posix(), json_url=imgMeasureFile.name)
# debug(imgMeasurements)
data = parser_image_measurements(testconf, imgMeasurements)
return data
def parse_from_image_measurements(parser_image_measurements, testconf, args):
# imgMeasureFile = testconf.folder.image / 'processed' / (testconf.info.name + '.measurements.json')
imgMeasureFile = testconf.folder.images / 'processed' / 'data.json'
imgMeasureFile = imgMeasureFile.resolve()
imgMeasurements = Json.load_json(imgMeasureFile.parent.as_posix(),
json_url=imgMeasureFile.name)
# debug(imgMeasurements)
data = parser_image_measurements(testconf, imgMeasurements)
return data
def run_preconditions(self):
if not self.current_item or not self.current_testinfo:
return
import scilab.graphs.precondition_fitting as precondition_fitting
testinfo = self.current_testinfo
testfolder = self.testfs.testfolder(testinfo=testinfo,
ensure_folders_exists=False)
# if not self._test_measurements.area and not self._test_measurements.gauge:
self.run_enterdata()
area_diff = abs(self._test_measurements.min_area -
self._test_measurements.area)
area_min = self._test_measurements.min_area
N = 5 if area_diff > 1E-3 else 1
results = "# Preconds: \n"
results += str(self._test_measurements) + "\n"
for a in np.linspace(self._test_measurements.min_area,
self._test_measurements.area, N):
print("#### run_preconditions Area:", a)
# self.updateInfoPane("\nArea:"+str(a)+"\n")
measures = DataTree(area=a, gauge=self._test_measurements.gauge)
measurements = precondition_fitting.process_test(
testinfo, testfolder, measures)
data = Json.load_json(testfolder.jsoncalc,
json_url=testinfo.name +
'.preconds.calculated.json')
#results += '\n\n## Preconds area: %5.4f\n\n'%(a)
# results += '\n'.join( "%s = %s"%i for i in sorted(flatten(data).items()) if '3third' in i[0] )
results += '\n %6.4f, %6.4f \n' % (
measures.area, data['dynmodfits']['3third']['value'])
self.updateInfoPane(results)
def run_preconditions(self):
if not self.current_item or not self.current_testinfo:
return
import scilab.graphs.precondition_fitting as precondition_fitting
testinfo = self.current_testinfo
testfolder = self.testfs.testfolder(testinfo=testinfo, ensure_folders_exists=False)
# if not self._test_measurements.area and not self._test_measurements.gauge:
self.run_enterdata()
area_diff = abs(self._test_measurements.min_area-self._test_measurements.area)
area_min = self._test_measurements.min_area
N = 5 if area_diff > 1E-3 else 1
results = "# Preconds: \n"
results += str(self._test_measurements) + "\n"
for a in np.linspace(self._test_measurements.min_area, self._test_measurements.area, N):
print("#### run_preconditions Area:", a)
# self.updateInfoPane("\nArea:"+str(a)+"\n")
measures = DataTree(area=a, gauge=self._test_measurements.gauge)
measurements = precondition_fitting.process_test(testinfo, testfolder, measures)
data = Json.load_json(testfolder.jsoncalc, json_url=testinfo.name+'.preconds.calculated.json')
#results += '\n\n## Preconds area: %5.4f\n\n'%(a)
# results += '\n'.join( "%s = %s"%i for i in sorted(flatten(data).items()) if '3third' in i[0] )
results += '\n %6.4f, %6.4f \n'%( measures.area, data['dynmodfits']['3third']['value'])
self.updateInfoPane(results)
def getJson(subcalc):
debug(subcalc.name)
return Json.load_json(subcalc.parent.as_posix(), json_url=subcalc.name)
def print_datasheet(testinfo, testfolder, report):
print(mdHeader(3, "DataSheet Info" ), file=report)
details = Json.load_json(testfolder.json, json_url=testinfo.name+'.calculated.json')
# debug(details)
fdetails = flatten(details, sep='.')
# debug(fdetails)
name = OrderedDict()
# name["Short Name"] = "Short Name"
# name["info.name"] = "info.name"
# name["linear_modulus.value"] = "Toe Linear Modulus"
# name["linear_modulus.slope_strain"] = "TLM Strain Slope"
# name["linear_modulus.slope_stress"] = "TLM Stress Slope"
# name["calculations.maxes.displacement.value"] = "displacement.value"
# name["calculations.maxes.load.value"] = "load.value"
# name["calculations.maxes.strain.value"] = "strain.value"
# name["calculations.maxes.stress.value"] = "stress.value"
name["measurements.area.units"] = "area.units"
name["measurements.area.value"] = "area.value"
name["measurements.depth.stdev"] = "depth.stdev"
name["measurements.depth.value"] = "depth.value"
name["measurements.width.stdev"] = "width.stdev"
name["measurements.width.value"] = "width.value"
name["gauge.base"] = "gauge.base"
name["gauge.preloaded"] = "gauge.preloaded"
name["gauge.value"] = "gauge.value"
# name["info.sample"] = "info.sample"
# name["info.layer"] = "info.layer"
# name["info.orientation"] = "info.orientation"
# name["info.wedge"] = "info.wedge"
# name["info.side"] = "info.side"
# name["info.set"] = "info.set"
# name["info.date"] = "info.date"
# name["info.run"] = "info.run"
# name["name"] = "File Name"
for k,v in name.items():
v = v.replace('.value','').split('.')
name[k] = ' '.join( [ s[0].upper()+s[1:] for s in v ] )
# print(*name.values(),sep='\n')
# make table
def values(v):
try:
if type(v) == float:
return "%.3f"%v
elif type(v) == int:
return "%d"%v
except:
return v
data = [ (k, values(fdetails.get(k,None))) for k in name ]
# debug(data)
print(tabulate(data, headers=['Name', 'Value'], numalign="right", floatfmt=".2f"), file=report)
return details
def getJson(subcalc):
debug(subcalc.name)
return Json.load_json(subcalc.parent.as_posix(), json_url=subcalc.name)
def print_datasheet(testinfo, testfolder, report):
print(mdHeader(3, "DataSheet Info"), file=report)
details = Json.load_json(testfolder.json,
json_url=testinfo.name + '.calculated.json')
# debug(details)
fdetails = flatten(details, sep='.')
# debug(fdetails)
name = OrderedDict()
# name["Short Name"] = "Short Name"
# name["info.name"] = "info.name"
# name["linear_modulus.value"] = "Toe Linear Modulus"
# name["linear_modulus.slope_strain"] = "TLM Strain Slope"
# name["linear_modulus.slope_stress"] = "TLM Stress Slope"
# name["calculations.maxes.displacement.value"] = "displacement.value"
# name["calculations.maxes.load.value"] = "load.value"
# name["calculations.maxes.strain.value"] = "strain.value"
# name["calculations.maxes.stress.value"] = "stress.value"
name["measurements.area.units"] = "area.units"
name["measurements.area.value"] = "area.value"
name["measurements.depth.stdev"] = "depth.stdev"
name["measurements.depth.value"] = "depth.value"
name["measurements.width.stdev"] = "width.stdev"
name["measurements.width.value"] = "width.value"
name["gauge.base"] = "gauge.base"
name["gauge.preloaded"] = "gauge.preloaded"
name["gauge.value"] = "gauge.value"
# name["info.sample"] = "info.sample"
# name["info.layer"] = "info.layer"
# name["info.orientation"] = "info.orientation"
# name["info.wedge"] = "info.wedge"
# name["info.side"] = "info.side"
# name["info.set"] = "info.set"
# name["info.date"] = "info.date"
# name["info.run"] = "info.run"
# name["name"] = "File Name"
for k, v in name.items():
v = v.replace('.value', '').split('.')
name[k] = ' '.join([s[0].upper() + s[1:] for s in v])
# print(*name.values(),sep='\n')
# make table
def values(v):
try:
if type(v) == float:
return "%.3f" % v
elif type(v) == int:
return "%d" % v
except:
return v
data = [(k, values(fdetails.get(k, None))) for k in name]
# debug(data)
print(tabulate(data,
headers=['Name', 'Value'],
numalign="right",
floatfmt=".2f"),
file=report)
return details