def saveExifMetadata(self, instance, schema, metadata):
"""Save all the metadata to a Dataset_Files paramamter set.
"""
parameters = self.getParamaters(schema, metadata)
if not parameters:
return None
try:
ps = DatafileParameterSet.objects.get(schema=schema,
dataset_file=instance)
return ps # if already exists then just return it
except DatafileParameterSet.DoesNotExist:
ps = DatafileParameterSet(schema=schema,
dataset_file=instance)
ps.save()
for p in parameters:
if p.name in metadata:
dfp = DatafileParameter(parameterset=ps,
name=p)
if p.isNumeric():
dfp.numerical_value = metadata[p.name]
else:
dfp.string_value = metadata[p.name]
dfp.save()
return ps
def saveSpectraMetadata(self, instance, schema, metadata):
"""Save all the metadata to a Dataset_Files paramamter set.
"""
parameters = self.getParamaters(schema, metadata)
if not parameters:
return None
(ps, created) = DatafileParameterSet.objects.get_or_create(schema=schema, dataset_file=instance)
if created: # new object was created
ps.save()
else: # if parameter set already exists then just return it
return ps
# save datafile parameters
for p in parameters:
if p.name in metadata:
dfp = DatafileParameter(parameterset=ps,
name=p)
if p.isNumeric():
dfp.numerical_value = metadata[p.name][0]
else:
dfp.string_value = metadata[p.name][0]
dfp.save()
return ps
def saveFlexstationMetadata(self, instance, schema, metadata):
"""Saves or overwrites the datafile's metadata to a Dataset_Files parameter set in the database.
"""
logger.info('Saving Metadata')
parameters = self.getParameters(schema, metadata)
if not parameters:
return None
try:
ps = DatafileParameterSet.objects.get(schema=schema,
dataset_file=instance)
return ps # if already exists then just return it
except DatafileParameterSet.DoesNotExist:
ps = DatafileParameterSet(schema=schema, dataset_file=instance)
ps.save()
for p in parameters:
if p.name in metadata:
dfp = DatafileParameter(parameterset=ps, name=p)
if p.isNumeric():
if metadata[p.name] != '':
dfp.numerical_value = metadata[p.name]
dfp.save()
else:
dfp.string_value = metadata[p.name].decode('cp1252')
dfp.save()
return ps
def saveFlexstationMetadata(self, instance, schema, metadata):
"""Saves or overwrites the datafile's metadata to a Dataset_Files parameter set in the database.
"""
logger.info('Saving Metadata')
parameters = self.getParameters(schema, metadata)
if not parameters:
return None
try:
ps = DatafileParameterSet.objects.get(schema=schema,
dataset_file=instance)
return ps # if already exists then just return it
except DatafileParameterSet.DoesNotExist:
ps = DatafileParameterSet(schema=schema,
dataset_file=instance)
ps.save()
for p in parameters:
if p.name in metadata:
dfp = DatafileParameter(parameterset=ps,
name=p)
if p.isNumeric():
if metadata[p.name] != '':
dfp.numerical_value = metadata[p.name]
dfp.save()
else:
dfp.string_value = metadata[p.name].decode('cp1252')
dfp.save()
return ps
def savep(paramk, paramv):
param_name = ParameterName.objects.get(schema__id=schema.id,
name=paramk)
dfp = DatafileParameter(parameterset=param_set, name=param_name)
if paramv != "":
if param_name.isNumeric():
dfp.numerical_value = paramv
else:
dfp.string_value = paramv
dfp.save()
def saveMetadata(self, instance, schema, metadata):
"""Save all the metadata to a Dataset_Files paramamter set.
"""
parameters = self.getParameters(schema, metadata)
exclude_line = dict()
exclude_line['-----'] = None
exclude_line['Reading global metadata'] = None
exclude_line['Reading metadata'] = None
exclude_line['Reading core metadata'] = None
exclude_line['Populating metadata'] = None
exclude_line['Reading tags'] = None
exclude_line['Verifying Gatan format'] = None
exclude_line['Initializing reader'] = None
exclude_line['Checking file format [Gatan Digital Micrograph]'] = None
if not parameters:
return None
try:
ps = DatafileParameterSet.objects.get(schema=schema,
dataset_file=instance)
return ps # if already exists then just return it
except DatafileParameterSet.DoesNotExist:
ps = DatafileParameterSet(schema=schema,
dataset_file=instance)
ps.save()
for p in parameters:
print p.name
if p.name in metadata:
dfp = DatafileParameter(parameterset=ps,
name=p)
if p.isNumeric():
if metadata[p.name] != '':
dfp.numerical_value = metadata[p.name]
dfp.save()
else:
print p.name
if isinstance(metadata[p.name], list):
for val in reversed(metadata[p.name]):
strip_val = val.strip()
if strip_val:
if not strip_val in exclude_line:
dfp = DatafileParameter(parameterset=ps,
name=p)
dfp.string_value = strip_val
dfp.save()
else:
dfp.string_value = metadata[p.name]
dfp.save()
return ps
def saveMetadata(self, instance, schema, metadata):
"""Save all the metadata to a Dataset_Files paramamter set.
"""
parameters = self.getParameters(schema, metadata)
# Some/all? of these excludes below are specific to DM3 format:
exclude_line = dict()
if not parameters:
print "Bailing out of saveMetadata because of 'not parameters'."
return None
try:
ps = DatafileParameterSet.objects.get(schema=schema,
datafile=instance)
print "Parameter set already exists for %s, so we'll just " \
"return it." % instance.filename
return ps # if already exists then just return it
except DatafileParameterSet.DoesNotExist:
ps = DatafileParameterSet(schema=schema,
datafile=instance)
ps.save()
for p in parameters:
print p.name
if p.name in metadata:
dfp = DatafileParameter(parameterset=ps,
name=p)
if p.isNumeric():
if metadata[p.name] != '':
dfp.numerical_value = metadata[p.name]
dfp.save()
else:
print p.name
if isinstance(metadata[p.name], list):
for val in reversed(metadata[p.name]):
strip_val = val.strip()
if strip_val:
if strip_val not in exclude_line:
dfp = DatafileParameter(parameterset=ps,
name=p)
dfp.string_value = strip_val
dfp.save()
else:
dfp.string_value = metadata[p.name]
dfp.save()
return ps
def saveMetadata(self, instance, schema, metadata):
"""Save all the metadata to a Dataset_Files parameter set.
"""
logger.error('Olympus-saveMetadata()')
parameters = self.getParameters(schema, metadata)
if not parameters:
return None
try:
ps = DatafileParameterSet.objects.get(schema=schema,
dataset_file=instance)
return ps # if already exists then just return it
except DatafileParameterSet.DoesNotExist:
ps = DatafileParameterSet(schema=schema,
dataset_file=instance)
ps.save()
for p in parameters:
print p.name
if p.name in metadata:
dfp = DatafileParameter(parameterset=ps,
name=p)
if p.isNumeric():
if metadata[p.name] != '':
dfp.numerical_value = metadata[p.name]
dfp.save()
else:
print p.name
if isinstance(metadata[p.name], list):
for val in reversed(metadata[p.name]):
strip_val = val.strip()
if strip_val:
if not strip_val in exclude_line:
dfp = DatafileParameter(parameterset=ps,
name=p)
dfp.string_value = strip_val
dfp.save()
else:
dfp.string_value = metadata[p.name]
dfp.save()
return ps
