def _easy_func(self, ep, manager):
db=self.manager.db
doc = ep.doc('blanks')
fits = doc['blank_fit_isotopes']
projects = doc['projects']
unks = [ai for proj in projects
for si in db.get_samples(project=proj)
for ln in si.labnumbers
for ai in ln.analyses]
prog=manager.progress
# prog = self.manager.open_progress(len(ans) + 1)
#bin analyses
prog.increase_max(len(unks))
preceding_fits, non_preceding_fits=map(list,partition(fits, lambda x: x['fit']=='preceding'))
if preceding_fits:
for ai in unks:
if prog.canceled:
return
elif prog.accepted:
break
l, a, s = ai.labnumber.identifier, ai.aliquot, ai.step
prog.change_message('Save preceding blank for {}-{:02n}{}'.format(l, a, s))
hist = db.add_history(ai, 'blanks')
ai.selected_histories.selected_blanks = hist
for fi in preceding_fits:
self._preceding_correct(db, fi, ai, hist)
#make figure root dir
if doc['save_figures']:
root = doc['figure_root']
r_mkdir(root)
with no_auto_ctx(self.active_editor):
if non_preceding_fits:
for ais in bin_analyses(unks):
if prog.canceled:
return
elif prog.accepted:
break
self.active_editor.set_items(ais, progress=prog)
self.active_editor.find_references(progress=prog)
#refresh graph
invoke_in_main_thread(self.active_editor.rebuild_graph)
if not manager.wait_for_user():
return
#save a figure
if doc['save_figures']:
title=self.active_editor.make_title()
p=os.path.join(root, add_extension(title,'.pdf'))
self.active_editor.save_file(p)
self.active_editor.save(progress=prog)
self.active_editor.dump_tool()
return True
def _easy_func(self, ep, manager):
db = self.manager.db
doc = ep.doc('ic')
# fits = doc['fits']
projects = doc['projects']
atype = doc['atype']
identifiers = doc.get('identifiers')
if identifiers:
# unks = [ai for proj in projects
# for si in db.get_samples(project=proj)
# for ln in si.labnumbers
# if str(ln.identifier) in identifiers
# for ai in ln.analyses
# if ai.measurement.mass_spectrometer.name.lower() in ('jan', 'obama')]
unks = [ai for ln in identifiers
for ai in db.get_labnumber(ln).analyses
if not ai.tag=='invalid']
else:
unks = [ai for proj in projects
for si in db.get_samples(project=proj)
for ln in si.labnumbers
for ai in ln.analyses
if ai.measurement.mass_spectrometer.name.lower() in ('jan', 'obama') and not ai.tag=='invalid']
prog = manager.progress
prog.increase_max(len(unks))
# preceding_fits, non_preceding_fits = map(list, partition(fits, lambda x: x['fit'] == 'preceding'))
# if preceding_fits:
# self.debug('preceding fits for ic_factors not implemented')
# for ai in unks:
# if prog.canceled:
# return
# elif prog.accepted:
# break
# l, a, s = ai.labnumber.identifier, ai.aliquot, ai.step
# prog.change_message('Save preceding blank for {}-{:02n}{}'.format(l, a, s))
# hist = db.add_history(ai, 'blanks')
# ai.selected_histories.selected_blanks = hist
# for fi in preceding_fits:
# self._preceding_correct(db, fi, ai, hist)
#make figure root dir
if doc['save_figures']:
root = doc['figure_root']
r_mkdir(root)
# if non_preceding_fits:
with no_auto_ctx(self.active_editor):
for ais in bin_analyses(unks):
if prog.canceled:
return
elif prog.accepted:
break
self.active_editor.set_items(ais, progress=prog)
self._set_analysis_type(atype, progress=prog)
self.active_editor.tool.trait_set(analysis_type=atype)
if not manager.wait_for_user():
return
if not manager.was_skipped():
#save a figure
if doc['save_figures']:
title = self.active_editor.make_title()
p = os.path.join(root, add_extension(title, '.pdf'))
self.active_editor.save_file(p)
self.active_editor.save(progress=prog)
self.active_editor.dump_tool()
return True
def _easy_func(self, ep, manager):
db = self.manager.db
doc = ep.doc('ic')
# fits = doc['fits']
projects = doc['projects']
atype = doc['atype']
identifiers = doc.get('identifiers')
if identifiers:
# unks = [ai for proj in projects
# for si in db.get_samples(project=proj)
# for ln in si.labnumbers
# if str(ln.identifier) in identifiers
# for ai in ln.analyses
# if ai.measurement.mass_spectrometer.name.lower() in ('jan', 'obama')]
unks = [
ai for ln in identifiers
for ai in db.get_labnumber(ln).analyses
if not ai.tag == 'invalid'
]
else:
unks = [
ai for proj in projects for si in db.get_samples(project=proj)
for ln in si.labnumbers for ai in ln.analyses
if ai.measurement.mass_spectrometer.name.lower() in (
'jan', 'obama') and not ai.tag == 'invalid'
]
prog = manager.progress
prog.increase_max(len(unks))
# preceding_fits, non_preceding_fits = map(list, partition(fits, lambda x: x['fit'] == 'preceding'))
# if preceding_fits:
# self.debug('preceding fits for ic_factors not implemented')
# for ai in unks:
# if prog.canceled:
# return
# elif prog.accepted:
# break
# l, a, s = ai.labnumber.identifier, ai.aliquot, ai.step
# prog.change_message('Save preceding blank for {}-{:02n}{}'.format(l, a, s))
# hist = db.add_history(ai, 'blanks')
# ai.selected_histories.selected_blanks = hist
# for fi in preceding_fits:
# self._preceding_correct(db, fi, ai, hist)
#make figure root dir
if doc['save_figures']:
root = doc['figure_root']
r_mkdir(root)
# if non_preceding_fits:
with no_auto_ctx(self.active_editor):
for ais in bin_analyses(unks):
if prog.canceled:
return
elif prog.accepted:
break
self.active_editor.set_items(ais, progress=prog)
self._set_analysis_type(atype, progress=prog)
self.active_editor.tool.trait_set(analysis_type=atype)
if not manager.wait_for_user():
return
if not manager.was_skipped():
#save a figure
if doc['save_figures']:
title = self.active_editor.make_title()
p = os.path.join(root, add_extension(title, '.pdf'))
self.active_editor.save_file(p)
self.active_editor.save(progress=prog)
self.active_editor.dump_tool()
return True
def _easy_func(self, ep, manager):
db = self.manager.db
doc = ep.doc('blanks')
fits = doc['blank_fit_isotopes']
projects = doc['projects']
unks = [ai for proj in projects
for si in db.get_samples(project=proj)
for ln in si.labnumbers
for ai in ln.analyses
if ai.measurement.mass_spectrometer.name == 'MAP'
and ai.extraction.extraction_device.name in ('Furnace', 'Eurotherm')]
# for proj in projects:
# for si in db.get_samples(project=proj):
# for ln in si.labnumbers:
# for ai in ln.analyses:
# print ai.measurement.mass_spectrometer.name,ai.extraction.extraction_device.name
# print ai.measurement.mass_spectrometer.name == 'nmgrl map' and ai.extraction.extraction_device.name in ('Furnace','Eurotherm')
print len(unks)
prog = manager.progress
# prog = self.manager.open_progress(len(ans) + 1)
#bin analyses
prog.increase_max(len(unks))
preceding_fits, non_preceding_fits = map(list, partition(fits, lambda x: x['fit'] == 'preceding'))
if preceding_fits:
for ai in unks:
if prog.canceled:
return
elif prog.accepted:
break
l, a, s = ai.labnumber.identifier, ai.aliquot, ai.step
prog.change_message('Save preceding blank for {}-{:02n}{}'.format(l, a, s))
hist = db.add_history(ai, 'blanks')
ai.selected_histories.selected_blanks = hist
for fi in preceding_fits:
self._preceding_correct(db, fi, ai, hist)
#make figure root dir
if doc['save_figures']:
root = doc['figure_root']
r_mkdir(root)
with no_auto_ctx(self.active_editor):
if non_preceding_fits:
for fi in self.active_editor.tool.fits:
fi.fit = 'average'
fi.error_type = 'SEM'
fi.filter_outliers = True
fi.filter_iterations = 1
fi.filter_std_devs = 2
for ais in bin_analyses(unks):
if prog.canceled:
return
elif prog.accepted:
break
self.active_editor.set_items(ais, progress=prog)
self.active_editor.find_references(progress=prog)
#refresh graph
# invoke_in_main_thread(self.active_editor.rebuild_graph)
#
# if not manager.wait_for_user():
# return
#save a figure
if doc['save_figures']:
title = self.active_editor.make_title()
p = os.path.join(root, add_extension(title, '.pdf'))
self.active_editor.save_file(p)
self.active_editor.save(progress=prog)
self.active_editor.dump_tool()
return True
