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caches: use individual namespaces per user to prevent beaker caching problems....
caches: use individual namespaces per user to prevent beaker caching problems. - especially for mysql in case large number of data in caches there could be critical errors storing cache, and thus preventing users from authentication. This is caused by the fact that we used single namespace for ALL users. It means it grew as number of users grew reaching mysql single column limit. This changes the behaviour and now we use namespace per-user it means that each user-id will have it's own cache namespace fragmenting maximum column data to a single user cache. Which we should never reach.

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user_log_filter.py
126 lines | 4.7 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
# Copyright (C) 2010-2018 RhodeCode GmbH
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License, version 3
# (only), as published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# This program is dual-licensed. If you wish to learn more about the
# RhodeCode Enterprise Edition, including its added features, Support services,
# and proprietary license terms, please see https://rhodecode.com/licenses/
import logging
from whoosh.qparser.default import QueryParser, query
from whoosh.qparser.dateparse import DateParserPlugin
from whoosh.fields import (TEXT, Schema, DATETIME)
from sqlalchemy.sql.expression import or_, and_, not_, func
from rhodecode.model.db import UserLog
from rhodecode.lib.utils2 import remove_prefix, remove_suffix, safe_unicode
# JOURNAL SCHEMA used only to generate queries in journal. We use whoosh
# querylang to build sql queries and filter journals
JOURNAL_SCHEMA = Schema(
username=TEXT(),
date=DATETIME(),
action=TEXT(),
repository=TEXT(),
ip=TEXT(),
)
log = logging.getLogger(__name__)
def user_log_filter(user_log, search_term):
"""
Filters sqlalchemy user_log based on search_term with whoosh Query language
http://packages.python.org/Whoosh/querylang.html
:param user_log:
:param search_term:
"""
log.debug('Initial search term: %r' % search_term)
qry = None
if search_term:
qp = QueryParser('repository', schema=JOURNAL_SCHEMA)
qp.add_plugin(DateParserPlugin())
qry = qp.parse(safe_unicode(search_term))
log.debug('Filtering using parsed query %r' % qry)
def wildcard_handler(col, wc_term):
if wc_term.startswith('*') and not wc_term.endswith('*'):
# postfix == endswith
wc_term = remove_prefix(wc_term, prefix='*')
return func.lower(col).endswith(wc_term)
elif wc_term.startswith('*') and wc_term.endswith('*'):
# wildcard == ilike
wc_term = remove_prefix(wc_term, prefix='*')
wc_term = remove_suffix(wc_term, suffix='*')
return func.lower(col).contains(wc_term)
def get_filterion(field, val, term):
if field == 'repository':
field = getattr(UserLog, 'repository_name')
elif field == 'ip':
field = getattr(UserLog, 'user_ip')
elif field == 'date':
field = getattr(UserLog, 'action_date')
elif field == 'username':
field = getattr(UserLog, 'username')
else:
field = getattr(UserLog, field)
log.debug('filter field: %s val=>%s' % (field, val))
# sql filtering
if isinstance(term, query.Wildcard):
return wildcard_handler(field, val)
elif isinstance(term, query.Prefix):
return func.lower(field).startswith(func.lower(val))
elif isinstance(term, query.DateRange):
return and_(field >= val[0], field <= val[1])
elif isinstance(term, query.Not):
return not_(field == val)
return func.lower(field) == func.lower(val)
if isinstance(qry, (query.And, query.Not, query.Term, query.Prefix,
query.Wildcard, query.DateRange)):
if not isinstance(qry, query.And):
qry = [qry]
for term in qry:
if isinstance(term, query.Not):
not_term = [z for z in term.leaves()][0]
field = not_term.fieldname
val = not_term.text
elif isinstance(term, query.DateRange):
field = term.fieldname
val = [term.startdate, term.enddate]
elif isinstance(term, query.NullQuery.__class__):
field = ''
val = ''
else:
field = term.fieldname
val = term.text
if field:
user_log = user_log.filter(get_filterion(field, val, term))
elif isinstance(qry, query.Or):
filters = []
for term in qry:
field = term.fieldname
val = (term.text if not isinstance(term, query.DateRange)
else [term.startdate, term.enddate])
filters.append(get_filterion(field, val, term))
user_log = user_log.filter(or_(*filters))
return user_log