def render_book_to_stream(self,
file_stream,
book,
inits=None,
mapdicts=None,
**keywords):
session, tables = file_stream
thebook = book
initializers = inits
colnames_array = common.get_book_headers_in_array(book)
if initializers is None:
initializers = [None] * len(tables)
if mapdicts is None:
mapdicts = [None] * len(tables)
scattered = zip(tables, colnames_array, mapdicts, initializers)
importer = sql.SQLTableImporter(session)
for each_table in scattered:
adapter = sql.SQLTableImportAdapter(each_table[0])
adapter.column_names = each_table[1]
adapter.column_name_mapping_dict = each_table[2]
adapter.row_initializer = each_table[3]
importer.append(adapter)
to_store = OrderedDict()
for sheet in thebook:
# 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, **keywords)
def render_book_to_stream(self,
file_stream,
book,
inits=None,
mapdicts=None,
**keywords):
from pyexcel.book import to_book
session, tables = file_stream
thebook = book
if isinstance(book, BookStream):
thebook = to_book(book)
initializers = inits
if initializers is None:
initializers = [None] * len(tables)
if mapdicts is None:
mapdicts = [None] * len(tables)
for sheet in thebook:
if len(sheet.colnames) == 0:
sheet.name_columns_by_row(0)
colnames_array = [sheet.colnames for sheet in book]
scattered = zip(tables, colnames_array, mapdicts, initializers)
importer = sql.SQLTableImporter(session)
for each_table in scattered:
adapter = sql.SQLTableImportAdapter(each_table[0])
adapter.column_names = each_table[1]
adapter.column_name_mapping_dict = each_table[2]
adapter.row_initializer = each_table[3]
importer.append(adapter)
to_store = OrderedDict()
for sheet_name in thebook.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, **keywords)
def render_sheet_to_stream(self,
file_stream,
sheet,
init=None,
mapdict=None,
**keywords):
headers = common.get_sheet_headers(sheet)
importer = sql.SQLTableImporter(file_stream[0])
adapter = sql.SQLTableImportAdapter(file_stream[1])
adapter.column_names = headers
adapter.row_initializer = init
adapter.column_name_mapping_dict = mapdict
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,
file_stream,
sheet,
init=None,
mapdict=None,
**keywords):
headers = sheet.colnames
if len(headers) == 0:
raise Exception(NO_COLUMN_NAMES)
importer = sql.SQLTableImporter(file_stream[0])
adapter = sql.SQLTableImportAdapter(file_stream[1])
adapter.column_names = headers
adapter.row_initializer = init
adapter.column_name_mapping_dict = mapdict
importer.append(adapter)
save_data(importer, {adapter.get_name(): sheet.get_internal_array()},
file_type=self._file_type,
**keywords)