def write(self,
iterable,
buff=None,
template_name='export/script.R',
*args,
**kwargs):
zip_file = ZipFile(self.get_file_obj(buff), 'w')
factors = [] # field names
levels = [] # value dictionaries
labels = [] # data labels
for f in self.header:
name = f['name']
labels.append(u'attr(data${0}, "label") = "{1}"'.format(
name, f['label']))
coded_labels = f['field'].coded_labels()
if coded_labels:
codes = self._code_values(name, f['field'], coded_labels)
factors.append(codes[0])
levels.append(codes[1])
data_filename = 'data.csv'
script_filename = 'script.R'
# File buffers
data_buff = StringIO()
# Create the data file with this exporter's preferred formats.
data_exporter = CSVExporter(self.concepts,
preferred_formats=self.preferred_formats)
# Write the data file.
data_exporter.write(iterable, data_buff, *args, **kwargs)
zip_file.writestr(data_filename, data_buff.getvalue())
template = get_template(template_name)
context = Context({
'data_filename': data_filename,
'labels': labels,
'factors': factors,
'levels': levels,
})
# Write script from template
zip_file.writestr(script_filename, template.render(context))
zip_file.close()
return zip_file
def write(self,
iterable,
buff=None,
template_name='export/script.R',
*args,
**kwargs):
zip_file = ZipFile(self.get_file_obj(buff), 'w')
factors = [] # field names
levels = [] # value dictionaries
labels = [] # data labels
for c in self.concepts:
cfields = c.concept_fields.all()
for cfield in cfields:
field = cfield.field
name = self._format_name(field.field_name)
labels.append(u'attr(data${0}, "label") = "{1}"'.format(
name, unicode(cfield)))
coded_labels = field.coded_labels()
if coded_labels:
codes = self._code_values(name, field, coded_labels)
factors.append(codes[0])
levels.append(codes[1])
data_filename = 'data.csv'
script_filename = 'script.R'
# File buffers
data_buff = StringIO()
# Create the data file
data_exporter = CSVExporter(self.concepts)
# Overwrite preferred formats for data file
data_exporter.preferred_formats = self.preferred_formats
data_exporter.write(iterable, data_buff, *args, **kwargs)
zip_file.writestr(data_filename, data_buff.getvalue())
template = get_template(template_name)
context = Context({
'data_filename': data_filename,
'labels': labels,
'factors': factors,
'levels': levels,
})
# Write script from template
zip_file.writestr(script_filename, template.render(context))
zip_file.close()
return zip_file
def write(self, iterable, buff=None, template_name='export/script.R',
*args, **kwargs):
zip_file = ZipFile(self.get_file_obj(buff), 'w')
factors = [] # field names
levels = [] # value dictionaries
labels = [] # data labels
for c in self.concepts:
cfields = c.concept_fields.all()
for cfield in cfields:
field = cfield.field
name = self._format_name(field.field_name)
labels.append(u'attr(data${0}, "label") = "{1}"'
.format(name, unicode(cfield)))
coded_labels = field.coded_labels()
if coded_labels:
codes = self._code_values(name, field, coded_labels)
factors.append(codes[0])
levels.append(codes[1])
data_filename = 'data.csv'
script_filename = 'script.R'
# File buffers
data_buff = StringIO()
# Create the data file
data_exporter = CSVExporter(self.concepts)
# Overwrite preferred formats for data file
data_exporter.preferred_formats = self.preferred_formats
data_exporter.write(iterable, data_buff, *args, **kwargs)
zip_file.writestr(data_filename, data_buff.getvalue())
template = get_template(template_name)
context = Context({
'data_filename': data_filename,
'labels': labels,
'factors': factors,
'levels': levels,
})
# Write script from template
zip_file.writestr(script_filename, template.render(context))
zip_file.close()
return zip_file
def write(self, iterable, buff=None, template_name='export/script.R',
*args, **kwargs):
zip_file = ZipFile(self.get_file_obj(buff), 'w')
factors = [] # field names
levels = [] # value dictionaries
labels = [] # data labels
for f in self.header:
name = f['name']
labels.append(u'attr(data${0}, "label") = "{1}"'
.format(name, f['label']))
coded_labels = f['field'].coded_labels()
if coded_labels:
codes = self._code_values(name, f['field'], coded_labels)
factors.append(codes[0])
levels.append(codes[1])
data_filename = 'data.csv'
script_filename = 'script.R'
# File buffers
data_buff = StringIO()
# Create the data file with this exporter's preferred formats.
data_exporter = CSVExporter(self.concepts,
preferred_formats=self.preferred_formats)
# Write the data file.
data_exporter.write(iterable, data_buff, *args, **kwargs)
zip_file.writestr(data_filename, data_buff.getvalue())
template = get_template(template_name)
context = Context({
'data_filename': data_filename,
'labels': labels,
'factors': factors,
'levels': levels,
})
# Write script from template
zip_file.writestr(script_filename, template.render(context))
zip_file.close()
return zip_file
def write(self, iterable, buff=None, template_name='export/script.sas'):
zip_file = ZipFile(self.get_file_obj(buff), 'w')
formats = [] # sas formats for all fields
informats = [] # sas informats for all fields
inputs = [] # field names in sas format
values = [] # sas value dictionaries
value_formats = [] # labels for value dictionary
labels = [] # labels the field names
for c in self.concepts:
cfields = c.concept_fields.select_related('datafield')
for cfield in cfields:
field = cfield.field
name = self._format_name(field.field_name)
# Setting up formats/informats
format, informat = self._get_formats(name, field)
formats.append(format)
informats.append(informat)
# Add the field names to the input statement
if field.simple_type == 'string':
inputs.append('{0} $'.format(name))
else:
inputs.append(name)
# If a field can be coded create a SAS PROC Format statement
# that creates a value dictionary
if field.lexicon:
value_format, value = self._code_values(name, field)
value_formats.append(value_format)
values.append(value)
# construct labels
labels.append('{0}="{1}"'.format(name, str(cfield)))
data_filename = 'data.csv'
script_filename = 'script.sas'
# File buffers
data_buff = StringIO()
# Create the data file
data_exporter = CSVExporter(self.concepts)
# Overwrite preferred formats for data file
data_exporter.preferred_formats = self.preferred_formats
data_exporter.write(iterable, data_buff)
zip_file.writestr(data_filename, data_buff.getvalue())
template = get_template(template_name)
context = Context({
'data_filename': data_filename,
'informats': informats,
'formats': formats,
'inputs': inputs,
'labels': labels,
'values': values,
'value_formats': value_formats,
})
# Write script from template
zip_file.writestr(script_filename, template.render(context))
zip_file.close()
return zip_file
def write(self,
iterable,
buff=None,
template_name='export/script.sas',
*args,
**kwargs):
zip_file = ZipFile(self.get_file_obj(buff), 'w')
formats = [] # sas formats for all fields
informats = [] # sas informats for all fields
inputs = [] # field names in sas format
values = [] # sas value dictionaries
value_formats = [] # labels for value dictionary
labels = [] # labels the field names
for c in self.concepts:
cfields = c.concept_fields.select_related('datafield')
for cfield in cfields:
field = cfield.field
name = self._format_name(field.field_name)
# Setting up formats/informats
format, informat = self._get_formats(name, field)
formats.append(format)
informats.append(informat)
# Add the field names to the input statement
if field.simple_type == 'string':
inputs.append(u'{0} $'.format(name))
else:
inputs.append(name)
coded_labels = field.coded_labels()
# If a field can be coded create a SAS PROC Format statement
# that creates a value dictionary
if coded_labels:
value_format, value = self._code_values(
name, field, coded_labels)
value_formats.append(value_format)
values.append(value)
# construct labels
labels.append(u'{0}="{1}"'.format(name, unicode(cfield)))
data_filename = 'data.csv'
script_filename = 'script.sas'
# File buffers
data_buff = StringIO()
# Create the data file
data_exporter = CSVExporter(self.concepts)
# Overwrite preferred formats for data file
data_exporter.preferred_formats = self.preferred_formats
data_exporter.write(iterable, data_buff, *args, **kwargs)
zip_file.writestr(data_filename, data_buff.getvalue())
template = get_template(template_name)
context = Context({
'data_filename': data_filename,
'informats': informats,
'formats': formats,
'inputs': inputs,
'labels': labels,
'values': values,
'value_formats': value_formats,
})
# Write script from template
zip_file.writestr(script_filename, template.render(context))
zip_file.close()
return zip_file
def write(self, iterable, buff=None, template_name='export/script.sas',
*args, **kwargs):
self.num_lg_names = 0
zip_file = ZipFile(self.get_file_obj(buff), 'w')
formats = [] # sas formats for all fields
informats = [] # sas informats for all fields
inputs = [] # field names in sas format
values = [] # sas value dictionaries
value_formats = [] # labels for value dictionary
labels = [] # labels the field names
for f in self.header:
name = self._format_name(f['name'])
# Setting up formats/informats
fmt, infmt = self._get_formats(name, f['field'])
formats.append(fmt)
informats.append(infmt)
# Add the field names to the input statement
if f['type'] == 'string':
inputs.append(u'{0} $'.format(name))
else:
inputs.append(name)
coded_labels = f['field'].coded_labels()
# If a field can be coded create a SAS PROC Format statement
# that creates a value dictionary
if coded_labels:
value_format, value = self._code_values(name, coded_labels)
value_formats.append(value_format)
values.append(value)
# Construct labels
labels.append(u'{0}="{1}"'.format(name, f['label']))
data_filename = 'data.csv'
script_filename = 'script.sas'
# File buffers
data_buff = StringIO()
# Create the data file with this exporter's preferred formats.
data_exporter = CSVExporter(self.concepts,
preferred_formats=self.preferred_formats)
# Write data file.
data_exporter.write(iterable, data_buff, *args, **kwargs)
zip_file.writestr(data_filename, data_buff.getvalue())
template = get_template(template_name)
context = Context({
'data_filename': data_filename,
'informats': informats,
'formats': formats,
'inputs': inputs,
'labels': labels,
'values': values,
'value_formats': value_formats,
})
# Write script from template
zip_file.writestr(script_filename, template.render(context))
zip_file.close()
return zip_file