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# coding=utf-8
#
# Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2019 All Rights Reserved
#
# Licensed under CLOUD LINUX LICENSE AGREEMENT
# http://cloudlinux.com/docs/LICENSE.TXT
from __future__ import absolute_import
from builtins import filter
import logging
import os
import re
import time
from lvestats.lib.commons.func import get_all_user_domains, normalize_domain
class Proctitle(object):
"""
Class for working with mod_procurl files
"""
def __init__(self, shm_dir="/dev/shm/"):
self.now = 0
self.log = logging.getLogger('Proctitle')
self.SHM_DIR = shm_dir
self.FILE_PATTERN = re.compile(r"apache_title_shm_[0-9]+_[0-9]+_[0-9]+$", re.IGNORECASE)
self.parsed_data = self._get_all_data()
def _get_all_data(self):
"""
1) Get all files in the self.SHM_DIR that mathes to the regexp self.FILE_PATTERN
2) Read every file to the first \x00 simbol
3) If apache process is iddle file content equals to httpd, else it should contain 5 values separated by space
4) Split every interesting line and return
:return:
list of the lists
[[Timestamp, Domain, Http type, Path, Http version],...]
"""
result = []
if os.path.exists(self.SHM_DIR):
files = filter(self.FILE_PATTERN.search, os.listdir(self.SHM_DIR))
self.now = time.time()
for file in files:
try:
file_name = os.path.join(self.SHM_DIR, file)
with open(file_name, 'r') as http_stats:
http_stats_line = http_stats.readline()
http_stats_line = http_stats_line.split('\x00')[0]
if not http_stats_line == "httpd":
http_stats_line_split = http_stats_line.split(" ")
if len(http_stats_line_split) == 5:
result.append(http_stats_line_split + [file.split("_")[-3]])
else:
self.log.debug("Number of values in file %s is not equal to 5", file)
except IOError as e:
self.log.debug(str(e))
return result
def get_user_data(self, username):
"""
Returns information about processed by user pages.
:param username:
:return:
list of the lists
[[Pid, Domain, Path, Http type, Http version, Time],...]
"""
all_domains = get_all_user_domains(username)
normalized_domains = set(map(normalize_domain, all_domains))
result = []
for data in self.parsed_data:
if normalize_domain(data[1]) in normalized_domains:
result.append([data[5], data[1], data[2], data[3], data[4], "%.1f" % (self.now - float(data[0]))])
return result
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