mirror of
https://github.com/OCA/account-reconcile.git
synced 2025-01-20 12:27:39 +02:00
Set as uninstallable and moved to __unported__ all modules.
This commit is contained in:
Pedro M. Baeza
@@ -1,221 +0,0 @@
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# -*- coding: utf-8 -*-
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##############################################################################
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#
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# Copyright Camptocamp SA
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# Author Nicolas Bessi, Joel Grand-Guillaume
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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##############################################################################
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from openerp.tools.translate import _
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from openerp.osv.osv import except_osv
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import tempfile
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import datetime
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from parser import BankStatementImportParser
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from parser import UnicodeDictReader
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try:
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import xlrd
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except:
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raise Exception(_('Please install python lib xlrd'))
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def float_or_zero(val):
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""" Conversion function used to manage
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empty string into float usecase"""
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return float(val) if val else 0.0
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class FileParser(BankStatementImportParser):
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"""
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Generic abstract class for defining parser for .csv, .xls or .xlsx file format.
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"""
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def __init__(self, parse_name, ftype='csv', extra_fields=None, header=None, **kwargs):
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"""
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:param char: parse_name: The name of the parser
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:param char: ftype: extension of the file (could be csv, xls or xlsx)
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:param dict: extra_fields: extra fields to add to the conversion dict. In the format
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{fieldname: fieldtype}
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:param list: header : specify header fields if the csv file has no header
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"""
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super(FileParser, self).__init__(parse_name, **kwargs)
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if ftype in ('csv', 'xls' ,'xlsx'):
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self.ftype = ftype[0:3]
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else:
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raise except_osv(_('User Error'),
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_('Invalid file type %s. Please use csv, xls or xlsx') % ftype)
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self.conversion_dict = {
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'ref': unicode,
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'label': unicode,
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'date': datetime.datetime,
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'amount': float_or_zero,
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}
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if extra_fields:
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self.conversion_dict.update(extra_fields)
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self.keys_to_validate = self.conversion_dict.keys()
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self.fieldnames = header
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self._datemode = 0 # used only for xls documents,
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# 0 means Windows mode (1900 based dates).
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# Set in _parse_xls, from the contents of the file
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def _custom_format(self, *args, **kwargs):
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"""
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No other work on data are needed in this parser.
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"""
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return True
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def _pre(self, *args, **kwargs):
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"""
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No pre-treatment needed for this parser.
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"""
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return True
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def _parse(self, *args, **kwargs):
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"""
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Launch the parsing through .csv, .xls or .xlsx depending on the
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given ftype
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"""
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res = None
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if self.ftype == 'csv':
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res = self._parse_csv()
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else:
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res = self._parse_xls()
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self.result_row_list = res
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return True
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def _validate(self, *args, **kwargs):
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"""
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We check that all the key of the given file (means header) are present
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in the validation key provided. Otherwise, we raise an Exception.
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We skip the validation step if the file header is provided separately
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(in the field: fieldnames).
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"""
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if self.fieldnames is None:
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parsed_cols = self.result_row_list[0].keys()
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for col in self.keys_to_validate:
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if col not in parsed_cols:
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raise except_osv(_('Invalid data'),
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_('Column %s not present in file') % col)
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return True
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def _post(self, *args, **kwargs):
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"""
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Cast row type depending on the file format .csv or .xls after parsing the file.
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"""
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self.result_row_list = self._cast_rows(*args, **kwargs)
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return True
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def _parse_csv(self):
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"""
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:return: list of dict from csv file (line/rows)
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"""
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csv_file = tempfile.NamedTemporaryFile()
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csv_file.write(self.filebuffer)
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csv_file.flush()
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with open(csv_file.name, 'rU') as fobj:
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reader = UnicodeDictReader(fobj, fieldnames=self.fieldnames)
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return list(reader)
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def _parse_xls(self):
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"""
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:return: dict of dict from xls/xlsx file (line/rows)
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"""
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wb_file = tempfile.NamedTemporaryFile()
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wb_file.write(self.filebuffer)
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# We ensure that cursor is at beginig of file
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wb_file.seek(0)
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with xlrd.open_workbook(wb_file.name) as wb:
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self._datemode = wb.datemode
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sheet = wb.sheet_by_index(0)
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header = sheet.row_values(0)
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res = []
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for rownum in range(1, sheet.nrows):
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res.append(dict(zip(header, sheet.row_values(rownum))))
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return res
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def _from_csv(self, result_set, conversion_rules):
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"""
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Handle the converstion from the dict and handle date format from
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an .csv file.
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"""
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for line in result_set:
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for rule in conversion_rules:
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if conversion_rules[rule] == datetime.datetime:
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try:
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date_string = line[rule].split(' ')[0]
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line[rule] = datetime.datetime.strptime(date_string,
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'%Y-%m-%d')
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except ValueError as err:
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raise except_osv(_("Date format is not valid."),
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_(" It should be YYYY-MM-DD for column: %s"
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" value: %s \n \n"
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" \n Please check the line with ref: %s"
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" \n \n Detail: %s") % (rule,
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line.get(rule, _('Missing')),
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line.get('ref', line),
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repr(err)))
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else:
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try:
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line[rule] = conversion_rules[rule](line[rule])
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except Exception as err:
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raise except_osv(_('Invalid data'),
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_("Value %s of column %s is not valid."
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"\n Please check the line with ref %s:"
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"\n \n Detail: %s") % (line.get(rule, _('Missing')),
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rule,
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line.get('ref', line),
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repr(err)))
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return result_set
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def _from_xls(self, result_set, conversion_rules):
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"""
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Handle the converstion from the dict and handle date format from
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an .csv, .xls or .xlsx file.
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"""
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for line in result_set:
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for rule in conversion_rules:
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if conversion_rules[rule] == datetime.datetime:
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try:
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t_tuple = xlrd.xldate_as_tuple(line[rule], self._datemode)
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line[rule] = datetime.datetime(*t_tuple)
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except Exception as err:
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raise except_osv(_("Date format is not valid"),
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_("Please modify the cell formatting to date format"
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" for column: %s"
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" value: %s"
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"\n Please check the line with ref: %s"
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"\n \n Detail: %s") % (rule,
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line.get(rule, _('Missing')),
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line.get('ref', line),
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repr(err)))
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else:
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try:
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line[rule] = conversion_rules[rule](line[rule])
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except Exception as err:
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raise except_osv(_('Invalid data'),
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_("Value %s of column %s is not valid."
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"\n Please check the line with ref %s:"
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"\n \n Detail: %s") % (line.get(rule, _('Missing')),
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rule,
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line.get('ref', line),
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repr(err)))
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return result_set
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def _cast_rows(self, *args, **kwargs):
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"""
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Convert the self.result_row_list using the self.conversion_dict providen.
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We call here _from_xls or _from_csv depending on the self.ftype variable.
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"""
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func = getattr(self, '_from_%s' % self.ftype)
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res = func(self.result_row_list, self.conversion_dict)
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return res
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