本文整理汇总了Python中weboob.tools.capabilities.bank.transactions.FrenchTransaction.category方法的典型用法代码示例。如果您正苦于以下问题：Python FrenchTransaction.category方法的具体用法？Python FrenchTransaction.category怎么用？Python FrenchTransaction.category使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类weboob.tools.capabilities.bank.transactions.FrenchTransaction的用法示例。
在下文中一共展示了FrenchTransaction.category方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_history
# 需要导入模块: from weboob.tools.capabilities.bank.transactions import FrenchTransaction [as 别名]
# 或者: from weboob.tools.capabilities.bank.transactions.FrenchTransaction import category [as 别名]
def get_history(self, date_guesser):
for tr in self.document.xpath('//table[@class="ca-table"]//tr'):
parent = tr.getparent()
while parent is not None and parent.tag != 'table':
parent = parent.getparent()
if parent.attrib.get('class', '') != 'ca-table':
continue
if tr.attrib.get('class', '') == 'tr-thead':
heads = tr.findall('th')
for i, head in enumerate(heads):
key = self.parser.tocleanstring(head)
if key == u'Débit':
self.COL_DEBIT = i - len(heads)
if key == u'Crédit':
self.COL_CREDIT = i - len(heads)
if key == u'Libellé':
self.COL_TEXT = i
if not tr.attrib.get('class', '').startswith('ligne-'):
continue
cols = tr.findall('td')
# On loan accounts, there is a ca-table with a summary. Skip it.
if tr.find('th') is not None or len(cols) < 3:
continue
t = Transaction()
col_text = cols[self.COL_TEXT]
if len(col_text.xpath('.//br')) == 0:
col_text = cols[self.COL_TEXT+1]
raw = self.parser.tocleanstring(col_text)
date = self.parser.tocleanstring(cols[self.COL_DATE])
credit = self.parser.tocleanstring(cols[self.COL_CREDIT])
if self.COL_DEBIT is not None:
debit = self.parser.tocleanstring(cols[self.COL_DEBIT])
else:
debit = ''
day, month = map(int, date.split('/', 1))
t.date = date_guesser.guess_date(day, month)
t.rdate = t.date
t.raw = raw
# On some accounts' history page, there is a <font> tag in columns.
if col_text.find('font') is not None:
col_text = col_text.find('font')
t.category = unicode(col_text.text.strip())
t.label = re.sub('(.*) (.*)', r'\2', t.category).strip()
sub_label = col_text.find('br').tail
if sub_label is not None and (len(t.label) < 3 or t.label == t.category or len(re.findall('[^\w\s]', sub_label))/float(len(sub_label)) < len(re.findall('\d', t.label))/float(len(t.label))):
t.label = unicode(sub_label.strip())
# Sometimes, the category contains the label, even if there is another line with it again.
t.category = re.sub('(.*) .*', r'\1', t.category).strip()
t.type = self.TYPES.get(t.category, t.TYPE_UNKNOWN)
# Parse operation date in label (for card transactions for example)
m = re.match('(?P<text>.*) (?P<dd>[0-3]\d)/(?P<mm>[0-1]\d)$', t.label)
if not m:
m = re.match('^(?P<dd>[0-3]\d)/(?P<mm>[0-1]\d) (?P<text>.*)$', t.label)
if m:
if t.type in (t.TYPE_CARD, t.TYPE_WITHDRAWAL):
t.rdate = date_guesser.guess_date(int(m.groupdict()['dd']), int(m.groupdict()['mm']), change_current_date=False)
t.label = m.groupdict()['text'].strip()
# Strip city or other useless information from label.
t.label = re.sub('(.*) .*', r'\1', t.label).strip()
t.set_amount(credit, debit)
yield t