def __do_import_csv(self, headers):
self.csv_file.seek(0)
reader = UnicodeReader(self.csv_file, encoding=self.encoding)
self.headers_dict = dict((h, i) for i, h in enumerate(headers))
# checks that required columns are presents
for field in self.REQUIRED_HEADERS:
if field not in self.headers_dict:
raise CSVImportError({1: self.get_missing_headers_msg()})
# read the header
reader.next()
self._errors = defaultdict(ErrorList)
self.objects = []
# parse each row
for line, row in enumerate(reader):
try:
self.parse_row(line + 2, row)
except Exception, e:
self.store_errors(line + 2, e)
def __do_import_csv(self, headers):
self.csv_file.seek(0)
reader = UnicodeReader(self.csv_file, encoding=self.encoding)
self.headers_dict = dict((h, i) for i, h in enumerate(headers))
# checks that required columns are presents
for field in self.REQUIRED_HEADERS:
if field not in self.headers_dict:
raise CSVImportError({1: self.get_missing_headers_msg()})
# read the header
reader.next()
self._errors = defaultdict(ErrorList)
self.objects = []
# parse each row
for line, row in enumerate(reader):
try:
self.parse_row(line + 2, row)
except Exception, e:
self.store_errors(line + 2, e)
def __init__(self, csv_file, encoding, known_headers):
reader = UnicodeReader(csv_file, encoding=encoding)
self.headers = reader.next()
self.guessed_headers = self._guess_headers(known_headers)
self.rows = tuple(islice(reader, 2))
def __init__(self, csv_file, encoding, known_headers):
reader = UnicodeReader(csv_file, encoding=encoding)
self.headers = reader.next()
self.guessed_headers = self._guess_headers(known_headers)
self.rows = tuple(islice(reader, 2))
