def render_book_to_stream(self,
models,
book,
inits=None,
mapdicts=None,
batch_size=None,
**keywords):
colnames_array = common.get_book_headers_in_array(book)
new_models = [model for model in models if model is not None]
initializers = inits
if initializers is None:
initializers = [None] * len(new_models)
if mapdicts is None:
mapdicts = [None] * len(new_models)
scattered = zip(new_models, colnames_array, mapdicts, initializers)
importer = django.DjangoModelImporter()
for each_model in scattered:
adapter = django.DjangoModelImportAdapter(each_model[0])
adapter.column_names = each_model[1]
adapter.column_name_mapping_dict = each_model[2]
adapter.row_initializer = each_model[3]
importer.append(adapter)
to_store = OrderedDict()
for sheet in book:
# due book.to_dict() brings in column_names
# which corrupts the data
to_store[sheet.name] = sheet.get_internal_array()
save_data(importer,
to_store,
file_type=self._file_type,
batch_size=batch_size,
**keywords)
def render_book_to_stream(self, models, thebook,
inits=None, mapdicts=None,
batch_size=None, **keywords):
from pyexcel.book import to_book
book = thebook
if isinstance(thebook, BookStream):
book = to_book(thebook)
new_models = [model for model in models if model is not None]
initializers = inits
if initializers is None:
initializers = [None] * len(new_models)
if mapdicts is None:
mapdicts = [None] * len(new_models)
for sheet in book:
if len(sheet.colnames) == 0:
sheet.name_columns_by_row(0)
colnames_array = [sheet.colnames for sheet in book]
scattered = zip(new_models, colnames_array, mapdicts, initializers)
importer = django.DjangoModelImporter()
for each_model in scattered:
adapter = django.DjangoModelImportAdapter(each_model[0])
adapter.column_names = each_model[1]
adapter.column_name_mapping_dict = each_model[2]
adapter.row_initializer = each_model[3]
importer.append(adapter)
to_store = OrderedDict()
for sheet_name in book.sheet_names():
# due book.to_dict() brings in column_names
# which corrupts the data
to_store[sheet_name] = book[sheet_name].get_internal_array()
save_data(importer, to_store, file_type=self._file_type,
batch_size=batch_size, **keywords)
def render_sheet_to_stream(self, model, sheet, init=None, mapdict=None,
**keywords):
headers = sheet.colnames
if len(headers) == 0:
raise Exception(NO_COLUMN_NAMES)
importer = django.DjangoModelImporter()
adapter = django.DjangoModelImportAdapter(model)
adapter.column_names = headers
adapter.column_name_mapping_dict = mapdict
adapter.row_initializer = init
importer.append(adapter)
save_data(importer, {adapter.get_name(): sheet.get_internal_array()},
file_type=self._file_type, **keywords)
def render_sheet_to_stream(self,
model,
sheet,
init=None,
mapdict=None,
**keywords):
headers = common.get_sheet_headers(sheet)
importer = django.DjangoModelImporter()
adapter = django.DjangoModelImportAdapter(model)
adapter.column_names = headers
adapter.column_name_mapping_dict = mapdict
adapter.row_initializer = init
importer.append(adapter)
save_data(importer, {adapter.get_name(): sheet.get_internal_array()},
file_type=self._file_type,
**keywords)
