def save_analysis_data_table(self, p):
# ans=[]
db=self.processor.db
with db.session_ctx():
ias=self.interpreted_ages[:10]
ans = [si.analysis for ia in ias
for si in db.get_interpreted_age_history(ia.id).interpreted_age.sets
if si.analysis.tag!='invalid']
prog = self.processor.open_progress(len(ans), close_at_end=False)
# hid = db.get_interpreted_age_history(ia.id)
# dbia = hid.interpreted_age
# ans.extend([si.analysis for si in db.get_interpreted_age_history(ia.id).interpreted_age.sets
# if not si.analysis.tag == 'invalid'])
# groups=[]
def gfactory(klass, ia):
hid = db.get_interpreted_age_history(ia.id)
ans = (si.analysis for si in hid.interpreted_age.sets \
if not si.analysis.tag == 'invalid')
ans = self.processor.make_analyses(ans,
calculate_age=True, use_cache=False,
progress=prog)
return klass(sample=ans[0].sample, analyses=ans)
#partition fusion vs stepheat
fusion, step_heat=partition(ias, lambda x: x.age_kind=='Weighted Mean')
# for ia in step_heat:
# groups.append(klass(sample=ans[0].sample,
# analyses=ans))
shgroups=[gfactory(StepHeatAnalysisGroup, ia) for ia in step_heat]
fgroups=[gfactory(AnalysisGroup, ia) for ia in fusion]
prog.close()
head, ext=os.path.splitext(p)
if shgroups:
w = StepHeatPDFTableWriter()
p='{}.step_heat_data{}'.format(head, ext)
w.build(p, shgroups, title=self.get_title())
if fgroups:
w=FusionPDFTableWriter()
p='{}.fusion_data{}'.format(head, ext)
w.build(p,fgroups, title=self.get_title())
def save_analysis_data_table(self, p):
# ans=[]
db = self.processor.db
with db.session_ctx():
ias = self.interpreted_ages[:10]
ans = [
si.analysis
for ia in ias
for si in db.get_interpreted_age_history(ia.id).interpreted_age.sets
if si.analysis.tag != "invalid"
]
prog = self.processor.open_progress(len(ans), close_at_end=False)
# hid = db.get_interpreted_age_history(ia.id)
# dbia = hid.interpreted_age
# ans.extend([si.analysis for si in db.get_interpreted_age_history(ia.id).interpreted_age.sets
# if not si.analysis.tag == 'invalid'])
# groups=[]
def gfactory(klass, ia):
hid = db.get_interpreted_age_history(ia.id)
ans = (si.analysis for si in hid.interpreted_age.sets if not si.analysis.tag == "invalid")
ans = self.processor.make_analyses(ans, calculate_age=True, use_cache=False, progress=prog)
return klass(sample=ans[0].sample, analyses=ans)
# partition fusion vs stepheat
fusion, step_heat = partition(ias, lambda x: x.age_kind == "Weighted Mean")
# for ia in step_heat:
# groups.append(klass(sample=ans[0].sample,
# analyses=ans))
shgroups = [gfactory(StepHeatAnalysisGroup, ia) for ia in step_heat]
fgroups = [gfactory(AnalysisGroup, ia) for ia in fusion]
prog.close()
head, ext = os.path.splitext(p)
if shgroups:
w = StepHeatPDFTableWriter()
p = "{}.step_heat_data{}".format(head, ext)
w.build(p, shgroups, title=self.get_title())
if fgroups:
w = FusionPDFTableWriter()
p = "{}.fusion_data{}".format(head, ext)
w.build(p, fgroups, title=self.get_title())
def _save_pdf_data_table(self, root, ias, step_heat_title, fusion_title, spectrometer, auto_view=False):
shgroups, fgroups = self._assemble_groups(ias)
ext = '.pdf'
if shgroups:
w = StepHeatPDFTableWriter()
# name = '{}_{}_step_heatdata'.format(self.name, spectrometer)
name = '{}stepheatdata'.format(spectrometer)
p, _ = unique_path(root, name, extension=ext)
iagroups, shgroups = zip(*shgroups)
w.build(p, shgroups, title=step_heat_title)
if auto_view:
view_file(p)
if fgroups:
w = FusionPDFTableWriter()
# name = '{}_{}_fusion_data'.format(self.name, spectrometer)
name = '{}fusiondata'.format(spectrometer)
p, _ = unique_path(root, name, extension=ext)
iagroups, fgroups = zip(*fgroups)
w.build(p, fgroups, title=fusion_title)
if auto_view:
view_file(p)
