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CrAgr: trivia: reordered methods within the AccountsList class.

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Xavier G 2012-06-10 18:26:45 +02:00
commit 63dbc13322
1 changed files with 101 additions and 101 deletions
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202
modules/cragr/pages/accounts_list.py
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@ -35,6 +35,37 @@ class AccountsList(CragrBasePage):
based on its URL.
"""
def is_accounts_list(self):
"""
Returns True if the current page appears to be the page dedicated to
list the accounts.
"""
# we check for the presence of a "mes comptes titres" link_id
link = self.document.xpath('/html/body//a[contains(text(), "comptes titres")]')
return bool(link)
def is_account_page(self):
"""
Returns True if the current page appears to be a page dedicated to list
the history of a specific account.
"""
# tested on CA Lorraine, Paris, Toulouse
title_spans = self.document.xpath('/html/body//div[@class="dv"]/span')
for title_span in title_spans:
title_text = title_span.text_content().strip().replace("\n", '')
if (re.match('.*Compte.*n.*[0-9]+', title_text, flags=re.IGNORECASE)):
return True
return False
def is_transfer_page(self):
"""
Returns True if the current page appears to be the page dedicated to
order transfers between accounts.
"""
source_account_select_field = self.document.xpath('/html/body//form//select[@name="numCompteEmetteur"]')
target_account_select_field = self.document.xpath('/html/body//form//select[@name="numCompteBeneficiaire"]')
return bool(source_account_select_field) and bool(target_account_select_field)
def get_list(self):
"""
Returns the list of available bank accounts
@ -81,36 +112,70 @@ class AccountsList(CragrBasePage):
l.append(account)
return l
def is_accounts_list(self):
def get_history(self, start_index=0, start_offset=0):
"""
Returns True if the current page appears to be the page dedicated to
list the accounts.
"""
# we check for the presence of a "mes comptes titres" link_id
link = self.document.xpath('/html/body//a[contains(text(), "comptes titres")]')
return bool(link)
def is_account_page(self):
"""
Returns True if the current page appears to be a page dedicated to list
the history of a specific account.
Returns the history of a specific account. Note that this function
expects the current page to be the one dedicated to this history.
start_index is the id used for the first created operation.
start_offset allows ignoring the `n' first Transactions on the page.
"""
# tested on CA Lorraine, Paris, Toulouse
title_spans = self.document.xpath('/html/body//div[@class="dv"]/span')
for title_span in title_spans:
title_text = title_span.text_content().strip().replace("\n", '')
if (re.match('.*Compte.*n.*[0-9]+', title_text, flags=re.IGNORECASE)):
return True
return False
# avoir parsing the page as an account-dedicated page if it is not the case
if not self.is_account_page():
return
def is_transfer_page(self):
"""
Returns True if the current page appears to be the page dedicated to
order transfers between accounts.
"""
source_account_select_field = self.document.xpath('/html/body//form//select[@name="numCompteEmetteur"]')
target_account_select_field = self.document.xpath('/html/body//form//select[@name="numCompteBeneficiaire"]')
return bool(source_account_select_field) and bool(target_account_select_field)
# Step 1: extract text tokens
tokens = []
token_extractor = TokenExtractor()
for div in self.document.getiterator('div'):
if div.attrib.get('class', '') in ('dv'):
self.logger.debug("Analyzing div %s" % div)
for token in token_extractor.extract_tokens(div):
self.logger.debug('Extracted text token: "%s"' % token)
tokens.append(token)
# Step 2: convert tokens into operations
# Notes:
# * the code below expects pieces of information to be in the date-label-amount order;
# could we achieve a heuristic smart enough to guess this order?
# * unlike the former code, we parse every operation
operations = []
current_operation = {}
for token in tokens:
self.logger.debug('Analyzing token: "%s"' % token)
date_analysis = self.look_like_date_only(token)
if date_analysis:
current_operation = {}
current_operation['date'] = date_analysis.groups()[0]
else:
date_desc_analysis = self.look_like_date_and_description(token)
if date_desc_analysis:
current_operation = {}
current_operation['date'] = date_desc_analysis.groups()[0]
current_operation['label'] = date_desc_analysis.groups()[1]
elif self.look_like_amount(token):
# we consider the amount is the last information we get for an operation
current_operation['amount'] = self.clean_amount(token)
if current_operation.get('label') is not None and current_operation.get('date') is not None:
self.logger.debug('Parsed operation: %s: %s: %s' % (current_operation['date'], current_operation['label'], current_operation['amount']))
operations.append(current_operation)
current_operation = {}
else:
if current_operation.get('label') is not None:
current_operation['label'] = u'%s %s' % (current_operation['label'], token)
else:
current_operation['label'] = token
# Step 3: yield adequate transactions
index = start_index
for op in operations[start_offset:]:
self.logger.debug('will yield the following transaction with index %d: %s: %s: %s' % (index, op['date'], op['label'], op['amount']))
transaction = Transaction(index)
index += 1
transaction.amount = op['amount']
transaction.date = self.date_from_string(op['date'])
transaction.raw = op['label']
yield transaction
def get_transfer_accounts(self, select_name):
"""
@ -219,6 +284,16 @@ class AccountsList(CragrBasePage):
year = today.year
return date(year, month, day)
def clean_amount(self, amount):
"""
Removes weird characters and converts to a Decimal
>>> clean_amount(u'1 000,00 $')
1000.0
"""
data = amount.replace(',', '.').replace(' ', '').replace(u'\xa0', '')
matches = re.findall('^(-?[0-9]+\.[0-9]{2}).*$', data)
return Decimal(matches[0]) if (matches) else Decimal(0)
def look_like_account_owner(self, string):
""" Returns a date object built from a given day/month pair. """
result = re.match('^\s*(M\.|Mr|Mme|Mlle|Monsieur|Madame|Mademoiselle)', string, re.IGNORECASE)
@ -256,78 +331,3 @@ class AccountsList(CragrBasePage):
result = re.search('^\s*((?:[012][0-9]|3[01])/(?:0[1-9]|1[012]))\s+(.+)\s*$', string)
self.logger.debug('Does "%s" look like a date+description pair? %s', string, ('yes' if result else 'no'))
return result
def clean_amount(self, amount):
"""
Removes weird characters and converts to a Decimal
>>> clean_amount(u'1 000,00 $')
1000.0
"""
data = amount.replace(',', '.').replace(' ', '').replace(u'\xa0', '')
matches = re.findall('^(-?[0-9]+\.[0-9]{2}).*$', data)
return Decimal(matches[0]) if (matches) else Decimal(0)
def get_history(self, start_index=0, start_offset=0):
"""
Returns the history of a specific account. Note that this function
expects the current page to be the one dedicated to this history.
start_index is the id used for the first created operation.
start_offset allows ignoring the `n' first Transactions on the page.
"""
# tested on CA Lorraine, Paris, Toulouse
# avoir parsing the page as an account-dedicated page if it is not the case
if not self.is_account_page():
return
# Step 1: extract text tokens
tokens = []
token_extractor = TokenExtractor()
for div in self.document.getiterator('div'):
if div.attrib.get('class', '') in ('dv'):
self.logger.debug("Analyzing div %s" % div)
for token in token_extractor.extract_tokens(div):
self.logger.debug('Extracted text token: "%s"' % token)
tokens.append(token)
# Step 2: convert tokens into operations
# Notes:
# * the code below expects pieces of information to be in the date-label-amount order;
# could we achieve a heuristic smart enough to guess this order?
# * unlike the former code, we parse every operation
operations = []
current_operation = {}
for token in tokens:
self.logger.debug('Analyzing token: "%s"' % token)
date_analysis = self.look_like_date_only(token)
if date_analysis:
current_operation = {}
current_operation['date'] = date_analysis.groups()[0]
else:
date_desc_analysis = self.look_like_date_and_description(token)
if date_desc_analysis:
current_operation = {}
current_operation['date'] = date_desc_analysis.groups()[0]
current_operation['label'] = date_desc_analysis.groups()[1]
elif self.look_like_amount(token):
# we consider the amount is the last information we get for an operation
current_operation['amount'] = self.clean_amount(token)
if current_operation.get('label') is not None and current_operation.get('date') is not None:
self.logger.debug('Parsed operation: %s: %s: %s' % (current_operation['date'], current_operation['label'], current_operation['amount']))
operations.append(current_operation)
current_operation = {}
else:
if current_operation.get('label') is not None:
current_operation['label'] = u'%s %s' % (current_operation['label'], token)
else:
current_operation['label'] = token
# Step 3: yield adequate transactions
index = start_index
for op in operations[start_offset:]:
self.logger.debug('will yield the following transaction with index %d: %s: %s: %s' % (index, op['date'], op['label'], op['amount']))
transaction = Transaction(index)
index += 1
transaction.amount = op['amount']
transaction.date = self.date_from_string(op['date'])
transaction.raw = op['label']
yield transaction