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pygments: disable the error border on token errors. This mostly confuses the users, and is not usefull that much.

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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