def _update(parameterset, name, string_value):
param = _get_or_none(ExperimentParameter.objects.all(), parameterset=parameterset, name=name)
if string_value:
if not param:
param = ExperimentParameter(parameterset=parameterset, name=name)
param.string_value = string_value
param.save()
else:
if param:
param.delete()
def synchrotron_search_epn(publication):
# *** Synchrotron specific ***
# Search for beamline/EPN information associated with each dataset
# and add to the publication.
try:
synch_epn_schema = Schema.objects.get(
namespace='http://www.tardis.edu.au/schemas/as/'
'experiment/2010/09/21')
datasets = Dataset.objects.filter(experiments=publication)
synch_experiments = Experiment.objects.filter(
datasets__in=datasets,
experimentparameterset__schema=synch_epn_schema).exclude(
pk=publication.pk).distinct()
for exp in [s for s in
synch_experiments if not s.is_publication()]:
epn = ExperimentParameter.objects.get(
name__name='EPN',
name__schema=synch_epn_schema,
parameterset__experiment=exp).string_value
beamline = ExperimentParameter.objects.get(
name__name='beamline',
name__schema=synch_epn_schema,
parameterset__experiment=exp).string_value
epn_parameter_set = ExperimentParameterSet(
schema=synch_epn_schema,
experiment=publication)
epn_parameter_set.save()
epn_copy = ExperimentParameter(
name=ParameterName.objects.get(
name='EPN', schema=synch_epn_schema),
parameterset=epn_parameter_set)
epn_copy.string_value = epn
epn_copy.save()
beamline_copy = ExperimentParameter(
name=ParameterName.objects.get(
name='beamline', schema=synch_epn_schema),
parameterset=epn_parameter_set)
beamline_copy.string_value = beamline
beamline_copy.save()
except Schema.DoesNotExist:
pass
def synchrotron_search_epn(publication):
# *** Synchrotron specific ***
# Search for beamline/EPN information associated with each dataset
# and add to the publication.
try:
synch_epn_schema = Schema.objects.get(
namespace='http://www.tardis.edu.au/schemas/as/'
'experiment/2010/09/21')
datasets = Dataset.objects.filter(experiments=publication)
synch_experiments = Experiment.objects.filter(
datasets__in=datasets,
experimentparameterset__schema=synch_epn_schema).exclude(
pk=publication.pk).distinct()
for exp in [s for s in
synch_experiments if not s.is_publication()]:
epn = ExperimentParameter.objects.get(
name__name='EPN',
name__schema=synch_epn_schema,
parameterset__experiment=exp).string_value
beamline = ExperimentParameter.objects.get(
name__name='beamline',
name__schema=synch_epn_schema,
parameterset__experiment=exp).string_value
epn_parameter_set = ExperimentParameterSet(
schema=synch_epn_schema,
experiment=publication)
epn_parameter_set.save()
epn_copy = ExperimentParameter(
name=ParameterName.objects.get(
name='EPN', schema=synch_epn_schema),
parameterset=epn_parameter_set)
epn_copy.string_value = epn
epn_copy.save()
beamline_copy = ExperimentParameter(
name=ParameterName.objects.get(
name='beamline', schema=synch_epn_schema),
parameterset=epn_parameter_set)
beamline_copy.string_value = beamline
beamline_copy.save()
except Schema.DoesNotExist:
pass
def _update(parameterset, name, string_value):
param = _get_or_none(ExperimentParameter.objects.all(),
parameterset=parameterset,
name=name)
if string_value:
if not param:
param = ExperimentParameter(parameterset=parameterset, name=name)
param.string_value = string_value
param.save()
else:
if param:
param.delete()
def add_if_missing(parameterset, name, string_value=None,
numerical_value=None, datetime_value=None):
try:
ExperimentParameter.objects.get(
name__name=name, parameterset=parameterset)
except ExperimentParameter.DoesNotExist:
param_name = ParameterName.objects.get(
name=name, schema=parameterset.schema)
param = ExperimentParameter(name=param_name,
parameterset=parameterset)
param.string_value = string_value
param.numerical_value = numerical_value
param.datetime_value = datetime_value
param.save()
def add_if_missing(parameterset,
name,
string_value=None,
numerical_value=None,
datetime_value=None):
try:
ExperimentParameter.objects.get(name__name=name,
parameterset=parameterset)
except ExperimentParameter.DoesNotExist:
param_name = ParameterName.objects.get(name=name,
schema=parameterset.schema)
param = ExperimentParameter(name=param_name,
parameterset=parameterset)
param.string_value = string_value
param.numerical_value = numerical_value
param.datetime_value = datetime_value
param.save()
