[IMP] account_statement_base_import: Fix PEP8

This commit is contained in:
Pedro M. Baeza
2014-08-04 18:42:00 +02:00
parent aebcbfdd5d
commit d9a943d2d3
7 changed files with 192 additions and 231 deletions

View File

@@ -18,7 +18,7 @@
#
##############################################################################
from openerp.tools.translate import _
from openerp.osv.osv import except_osv
from openerp.osv.orm import except_orm
import tempfile
import datetime
from parser import BankStatementImportParser
@@ -36,26 +36,28 @@ def float_or_zero(val):
class FileParser(BankStatementImportParser):
"""
Generic abstract class for defining parser for .csv, .xls or .xlsx file format.
"""Generic abstract class for defining parser for .csv, .xls or .xlsx file
format.
"""
def __init__(self, parse_name, ftype='csv', extra_fields=None, header=None, **kwargs):
def __init__(self, parse_name, ftype='csv', extra_fields=None, header=None,
**kwargs):
"""
:param char: parse_name: The name of the parser
:param char: ftype: extension of the file (could be csv, xls or xlsx)
:param dict: extra_fields: extra fields to add to the conversion dict. In the format
{fieldname: fieldtype}
:param list: header : specify header fields if the csv file has no header
:param char: ftype: extension of the file (could be csv, xls or \
xlsx)
:param dict: extra_fields: extra fields to add to the conversion \
dict. In the format {fieldname: fieldtype}
:param list: header : specify header fields if the csv file has no \
header
"""
super(FileParser, self).__init__(parse_name, **kwargs)
if ftype in ('csv', 'xls', 'xlsx'):
self.ftype = ftype[0:3]
else:
raise except_osv(_('User Error'),
_('Invalid file type %s. Please use csv, xls or xlsx') % ftype)
raise except_orm(
_('User Error'),
_('Invalid file type %s. Please use csv, xls or xlsx') % ftype)
self.conversion_dict = {
'ref': unicode,
'label': unicode,
@@ -71,23 +73,17 @@ class FileParser(BankStatementImportParser):
# Set in _parse_xls, from the contents of the file
def _custom_format(self, *args, **kwargs):
"""
No other work on data are needed in this parser.
"""
"""No other work on data are needed in this parser."""
return True
def _pre(self, *args, **kwargs):
"""
No pre-treatment needed for this parser.
"""
"""No pre-treatment needed for this parser."""
return True
def _parse(self, *args, **kwargs):
"""
Launch the parsing through .csv, .xls or .xlsx depending on the
"""Launch the parsing through .csv, .xls or .xlsx depending on the
given ftype
"""
res = None
if self.ftype == 'csv':
res = self._parse_csv()
@@ -97,31 +93,27 @@ class FileParser(BankStatementImportParser):
return True
def _validate(self, *args, **kwargs):
"""
We check that all the key of the given file (means header) are present
in the validation key provided. Otherwise, we raise an Exception.
We skip the validation step if the file header is provided separately
(in the field: fieldnames).
"""We check that all the key of the given file (means header) are
present in the validation key provided. Otherwise, we raise an
Exception. We skip the validation step if the file header is provided
separately (in the field: fieldnames).
"""
if self.fieldnames is None:
parsed_cols = self.result_row_list[0].keys()
for col in self.keys_to_validate:
if col not in parsed_cols:
raise except_osv(_('Invalid data'),
raise except_orm(_('Invalid data'),
_('Column %s not present in file') % col)
return True
def _post(self, *args, **kwargs):
"""
Cast row type depending on the file format .csv or .xls after parsing the file.
"""
"""Cast row type depending on the file format .csv or .xls after
parsing the file."""
self.result_row_list = self._cast_rows(*args, **kwargs)
return True
def _parse_csv(self):
"""
:return: list of dict from csv file (line/rows)
"""
""":return: list of dict from csv file (line/rows)"""
csv_file = tempfile.NamedTemporaryFile()
csv_file.write(self.filebuffer)
csv_file.flush()
@@ -130,9 +122,7 @@ class FileParser(BankStatementImportParser):
return list(reader)
def _parse_xls(self):
"""
:return: dict of dict from xls/xlsx file (line/rows)
"""
""":return: dict of dict from xls/xlsx file (line/rows)"""
wb_file = tempfile.NamedTemporaryFile()
wb_file.write(self.filebuffer)
# We ensure that cursor is at beginig of file
@@ -147,8 +137,7 @@ class FileParser(BankStatementImportParser):
return res
def _from_csv(self, result_set, conversion_rules):
"""
Handle the converstion from the dict and handle date format from
"""Handle the converstion from the dict and handle date format from
an .csv file.
"""
for line in result_set:
@@ -159,72 +148,60 @@ class FileParser(BankStatementImportParser):
line[rule] = datetime.datetime.strptime(date_string,
'%Y-%m-%d')
except ValueError as err:
raise except_osv(_("Date format is not valid."),
_(" It should be YYYY-MM-DD for column: %s"
" value: %s \n \n"
" \n Please check the line with ref: %s"
" \n \n Detail: %s") % (rule,
line.get(
rule, _('Missing')),
line.get(
'ref', line),
repr(err)))
raise except_orm(
_("Date format is not valid."),
_(" It should be YYYY-MM-DD for column: %s"
" value: %s \n \n \n Please check the line with "
"ref: %s \n \n Detail: %s") %
(rule, line.get(rule, _('Missing')),
line.get('ref', line), repr(err)))
else:
try:
line[rule] = conversion_rules[rule](line[rule])
except Exception as err:
raise except_osv(_('Invalid data'),
_("Value %s of column %s is not valid."
"\n Please check the line with ref %s:"
"\n \n Detail: %s") % (line.get(rule, _('Missing')),
rule,
line.get(
'ref', line),
repr(err)))
raise except_orm(
_('Invalid data'),
_("Value %s of column %s is not valid.\n Please "
"check the line with ref %s:\n \n Detail: %s") %
(line.get(rule, _('Missing')), rule,
line.get('ref', line), repr(err)))
return result_set
def _from_xls(self, result_set, conversion_rules):
"""
Handle the converstion from the dict and handle date format from
"""Handle the converstion from the dict and handle date format from
an .csv, .xls or .xlsx file.
"""
for line in result_set:
for rule in conversion_rules:
if conversion_rules[rule] == datetime.datetime:
try:
t_tuple = xlrd.xldate_as_tuple(
line[rule], self._datemode)
t_tuple = xlrd.xldate_as_tuple(line[rule],
self._datemode)
line[rule] = datetime.datetime(*t_tuple)
except Exception as err:
raise except_osv(_("Date format is not valid"),
_("Please modify the cell formatting to date format"
" for column: %s"
" value: %s"
"\n Please check the line with ref: %s"
"\n \n Detail: %s") % (rule,
line.get(
rule, _('Missing')),
line.get(
'ref', line),
repr(err)))
raise except_orm(
_("Date format is not valid"),
_("Please modify the cell formatting to date format"
" for column: %s value: %s\n Please check the "
"line with ref: %s\n \n Detail: %s") %
(rule, line.get(rule, _('Missing')),
line.get('ref', line), repr(err)))
else:
try:
line[rule] = conversion_rules[rule](line[rule])
except Exception as err:
raise except_osv(_('Invalid data'),
_("Value %s of column %s is not valid."
"\n Please check the line with ref %s:"
"\n \n Detail: %s") % (line.get(rule, _('Missing')),
rule,
line.get(
'ref', line),
repr(err)))
raise except_orm(
_('Invalid data'),
_("Value %s of column %s is not valid.\n Please "
"check the line with ref %s:\n \n Detail: %s") %
(line.get(rule, _('Missing')), rule,
line.get('ref', line), repr(err)))
return result_set
def _cast_rows(self, *args, **kwargs):
"""
Convert the self.result_row_list using the self.conversion_dict providen.
We call here _from_xls or _from_csv depending on the self.ftype variable.
"""Convert the self.result_row_list using the self.conversion_dict
providen. We call here _from_xls or _from_csv depending on the
self.ftype variable.
"""
func = getattr(self, '_from_%s' % self.ftype)
res = func(self.result_row_list, self.conversion_dict)