def new_analysis_series(self):
from pychron.system_monitor.tasks.series_search_criteria import SearchCriteria
kw = {'mass_spectrometer': self.connection.system_name,
'mass_spectrometers': [ci.system_name for ci in self.connections],
'analysis_type': 'Air',
'analysis_types': ANALYSIS_MAPPING.values()}
if self.active_editor and hasattr(self.active_editor, 'search_tool'):
for attr in ('weeks', 'hours', 'limit', 'days'):
kw[attr] = getattr(self.active_editor.search_tool, attr)
sc = SearchCriteria(**kw)
while 1:
info = sc.edit_traits()
if not info.result:
break
at = next((k for k, v in ANALYSIS_MAPPING.iteritems() if v == sc.analysis_type))
at = next((k for k, v in SPECIAL_MAPPING.iteritems() if v == at))
ans = self.manager.analysis_series(sc.mass_spectrometer,
analysis_type=at,
weeks=sc.weeks,
days=sc.days,
hours=sc.hours,
limit=sc.limit)
if ans:
self.new_series(ans)
break
else:
if not self.confirmation_dialog('No analyses found given the provided search criteria. Try Again?'):
break
def new_analysis_series(self):
from pychron.system_monitor.tasks.series_search_criteria import SearchCriteria
kw = {
"mass_spectrometer": self.connection.system_name,
"mass_spectrometers": [ci.system_name for ci in self.connections],
"analysis_type": "Air",
"analysis_types": ANALYSIS_MAPPING.values(),
}
if self.active_editor and hasattr(self.active_editor, "search_tool"):
for attr in ("weeks", "hours", "limit", "days"):
kw[attr] = getattr(self.active_editor.search_tool, attr)
sc = SearchCriteria(**kw)
while 1:
info = sc.edit_traits()
if not info.result:
break
at = next((k for k, v in ANALYSIS_MAPPING.iteritems() if v == sc.analysis_type))
at = next((k for k, v in SPECIAL_MAPPING.iteritems() if v == at))
ans = self.manager.analysis_series(
sc.mass_spectrometer, analysis_type=at, weeks=sc.weeks, days=sc.days, hours=sc.hours, limit=sc.limit
)
if ans:
self.new_series(ans)
break
else:
if not self.confirmation_dialog("No analyses found given the provided search criteria. Try Again?"):
break
def _analysis_types_default(self):
return [
' '.join(map(str.capitalize, k.split('_')))
for k in SPECIAL_MAPPING.keys()
]
def _analysis_types_default(self):
return [' '.join(map(str.capitalize, k.split('_'))) for k in SPECIAL_MAPPING.keys()]
