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web_log.chart.py
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web_log.chart.py
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# -*- coding: utf-8 -*-
# Description: web log netdata python.d module
# Author: l2isbad
# SPDX-License-Identifier: GPL-3.0-or-later
import bisect
import re
import os
from collections import namedtuple, defaultdict
from copy import deepcopy
try:
from itertools import filterfalse
except ImportError:
from itertools import ifilter as filter
from itertools import ifilterfalse as filterfalse
try:
from sys import maxint
except ImportError:
from sys import maxsize as maxint
from bases.collection import read_last_line
from bases.FrameworkServices.LogService import LogService
ORDER_APACHE_CACHE = ['apache_cache']
ORDER_WEB = [
'response_statuses',
'response_codes',
'bandwidth',
'response_time',
'response_time_hist',
'response_time_upstream',
'response_time_upstream_hist',
'requests_per_url',
'requests_per_user_defined',
'http_method',
'vhost',
'port',
'http_version',
'requests_per_ipproto',
'clients',
'clients_all'
]
ORDER_SQUID = [
'squid_response_statuses',
'squid_response_codes',
'squid_detailed_response_codes',
'squid_method',
'squid_mime_type',
'squid_hier_code',
'squid_transport_methods',
'squid_transport_errors',
'squid_code',
'squid_handling_opts',
'squid_object_types',
'squid_cache_events',
'squid_bytes',
'squid_duration',
'squid_clients',
'squid_clients_all'
]
CHARTS_WEB = {
'response_codes': {
'options': [None, 'Response Codes', 'requests/s', 'responses', 'web_log.response_codes', 'stacked'],
'lines': [
['2xx', None, 'incremental'],
['5xx', None, 'incremental'],
['3xx', None, 'incremental'],
['4xx', None, 'incremental'],
['1xx', None, 'incremental'],
['0xx', 'other', 'incremental'],
['unmatched', None, 'incremental']
]
},
'bandwidth': {
'options': [None, 'Bandwidth', 'kilobits/s', 'bandwidth', 'web_log.bandwidth', 'area'],
'lines': [
['resp_length', 'received', 'incremental', 8, 1000],
['bytes_sent', 'sent', 'incremental', -8, 1000]
]
},
'response_time': {
'options': [None, 'Processing Time', 'milliseconds', 'timings', 'web_log.response_time', 'area'],
'lines': [
['resp_time_min', 'min', 'incremental', 1, 1000],
['resp_time_max', 'max', 'incremental', 1, 1000],
['resp_time_avg', 'avg', 'incremental', 1, 1000]
]
},
'response_time_hist': {
'options': [None, 'Processing Time Histogram', 'requests/s', 'timings', 'web_log.response_time_hist', 'line'],
'lines': []
},
'response_time_upstream': {
'options': [None, 'Processing Time Upstream', 'milliseconds', 'timings',
'web_log.response_time_upstream', 'area'],
'lines': [
['resp_time_upstream_min', 'min', 'incremental', 1, 1000],
['resp_time_upstream_max', 'max', 'incremental', 1, 1000],
['resp_time_upstream_avg', 'avg', 'incremental', 1, 1000]
]
},
'response_time_upstream_hist': {
'options': [None, 'Processing Time Histogram', 'requests/s', 'timings',
'web_log.response_time_upstream_hist', 'line'],
'lines': []
},
'clients': {
'options': [None, 'Current Poll Unique Client IPs', 'unique ips', 'clients', 'web_log.clients', 'stacked'],
'lines': [
['unique_cur_ipv4', 'ipv4', 'incremental', 1, 1],
['unique_cur_ipv6', 'ipv6', 'incremental', 1, 1]
]
},
'clients_all': {
'options': [None, 'All Time Unique Client IPs', 'unique ips', 'clients', 'web_log.clients_all', 'stacked'],
'lines': [
['unique_tot_ipv4', 'ipv4', 'absolute', 1, 1],
['unique_tot_ipv6', 'ipv6', 'absolute', 1, 1]
]
},
'http_method': {
'options': [None, 'Requests Per HTTP Method', 'requests/s', 'http methods', 'web_log.http_method', 'stacked'],
'lines': [
['GET', 'GET', 'incremental', 1, 1]
]
},
'http_version': {
'options': [None, 'Requests Per HTTP Version', 'requests/s', 'http versions',
'web_log.http_version', 'stacked'],
'lines': []
},
'requests_per_ipproto': {
'options': [None, 'Requests Per IP Protocol', 'requests/s', 'ip protocols', 'web_log.requests_per_ipproto',
'stacked'],
'lines': [
['req_ipv4', 'ipv4', 'incremental', 1, 1],
['req_ipv6', 'ipv6', 'incremental', 1, 1]
]
},
'response_statuses': {
'options': [None, 'Response Statuses', 'requests/s', 'responses', 'web_log.response_statuses', 'stacked'],
'lines': [
['successful_requests', 'success', 'incremental', 1, 1],
['server_errors', 'error', 'incremental', 1, 1],
['redirects', 'redirect', 'incremental', 1, 1],
['bad_requests', 'bad', 'incremental', 1, 1],
['other_requests', 'other', 'incremental', 1, 1]
]
},
'requests_per_url': {
'options': [None, 'Requests Per Url', 'requests/s', 'urls', 'web_log.requests_per_url', 'stacked'],
'lines': [
['url_pattern_other', 'other', 'incremental', 1, 1]
]
},
'requests_per_user_defined': {
'options': [None, 'Requests Per User Defined Pattern', 'requests/s', 'user defined',
'web_log.requests_per_user_defined', 'stacked'],
'lines': [
['user_pattern_other', 'other', 'incremental', 1, 1]
]
},
'port': {
'options': [None, 'Requests Per Port', 'requests/s', 'port', 'web_log.port', 'stacked'],
'lines': [
['port_80', 'http', 'incremental', 1, 1],
['port_443', 'https', 'incremental', 1, 1]
]
},
'vhost': {
'options': [None, 'Requests Per Vhost', 'requests/s', 'vhost', 'web_log.vhost', 'stacked'],
'lines': []
}
}
CHARTS_APACHE_CACHE = {
'apache_cache': {
'options': [None, 'Apache Cached Responses', 'percent cached', 'cached', 'web_log.apache_cache_cache',
'stacked'],
'lines': [
['hit', 'cache', 'percentage-of-absolute-row'],
['miss', None, 'percentage-of-absolute-row'],
['other', None, 'percentage-of-absolute-row']
]
}
}
CHARTS_SQUID = {
'squid_duration': {
'options': [None, 'Elapsed Time The Transaction Busied The Cache',
'milliseconds', 'squid_timings', 'web_log.squid_duration', 'area'],
'lines': [
['duration_min', 'min', 'incremental', 1, 1000],
['duration_max', 'max', 'incremental', 1, 1000],
['duration_avg', 'avg', 'incremental', 1, 1000]
]
},
'squid_bytes': {
'options': [None, 'Amount Of Data Delivered To The Clients',
'kilobits/s', 'squid_bandwidth', 'web_log.squid_bytes', 'area'],
'lines': [
['bytes', 'sent', 'incremental', 8, 1000]
]
},
'squid_response_statuses': {
'options': [None, 'Response Statuses', 'responses/s', 'squid_responses', 'web_log.squid_response_statuses',
'stacked'],
'lines': [
['successful_requests', 'success', 'incremental', 1, 1],
['server_errors', 'error', 'incremental', 1, 1],
['redirects', 'redirect', 'incremental', 1, 1],
['bad_requests', 'bad', 'incremental', 1, 1],
['other_requests', 'other', 'incremental', 1, 1]
]
},
'squid_response_codes': {
'options': [None, 'Response Codes', 'responses/s', 'squid_responses',
'web_log.squid_response_codes', 'stacked'],
'lines': [
['2xx', None, 'incremental'],
['5xx', None, 'incremental'],
['3xx', None, 'incremental'],
['4xx', None, 'incremental'],
['1xx', None, 'incremental'],
['0xx', None, 'incremental'],
['other', None, 'incremental'],
['unmatched', None, 'incremental']
]
},
'squid_code': {
'options': [None, 'Responses Per Cache Result Of The Request',
'requests/s', 'squid_squid_cache', 'web_log.squid_code', 'stacked'],
'lines': []
},
'squid_detailed_response_codes': {
'options': [None, 'Detailed Response Codes',
'responses/s', 'squid_responses', 'web_log.squid_detailed_response_codes', 'stacked'],
'lines': []
},
'squid_hier_code': {
'options': [None, 'Responses Per Hierarchy Code',
'requests/s', 'squid_hierarchy', 'web_log.squid_hier_code', 'stacked'],
'lines': []
},
'squid_method': {
'options': [None, 'Requests Per Method',
'requests/s', 'squid_requests', 'web_log.squid_method', 'stacked'],
'lines': []
},
'squid_mime_type': {
'options': [None, 'Requests Per MIME Type',
'requests/s', 'squid_requests', 'web_log.squid_mime_type', 'stacked'],
'lines': []
},
'squid_clients': {
'options': [None, 'Current Poll Unique Client IPs', 'unique ips', 'squid_clients',
'web_log.squid_clients', 'stacked'],
'lines': [
['unique_ipv4', 'ipv4', 'incremental'],
['unique_ipv6', 'ipv6', 'incremental']
]
},
'squid_clients_all': {
'options': [None, 'All Time Unique Client IPs', 'unique ips', 'squid_clients',
'web_log.squid_clients_all', 'stacked'],
'lines': [
['unique_tot_ipv4', 'ipv4', 'absolute'],
['unique_tot_ipv6', 'ipv6', 'absolute']
]
},
'squid_transport_methods': {
'options': [None, 'Transport Methods', 'requests/s', 'squid_squid_transport',
'web_log.squid_transport_methods', 'stacked'],
'lines': []
},
'squid_transport_errors': {
'options': [None, 'Transport Errors', 'requests/s', 'squid_squid_transport',
'web_log.squid_transport_errors', 'stacked'],
'lines': []
},
'squid_handling_opts': {
'options': [None, 'Handling Opts', 'requests/s', 'squid_squid_cache',
'web_log.squid_handling_opts', 'stacked'],
'lines': []
},
'squid_object_types': {
'options': [None, 'Object Types', 'objects/s', 'squid_squid_cache',
'web_log.squid_object_types', 'stacked'],
'lines': []
},
'squid_cache_events': {
'options': [None, 'Cache Events', 'events/s', 'squid_squid_cache',
'web_log.squid_cache_events', 'stacked'],
'lines': []
}
}
NAMED_PATTERN = namedtuple('PATTERN', ['description', 'func'])
DET_RESP_AGGR = ['', '_1xx', '_2xx', '_3xx', '_4xx', '_5xx', '_Other']
SQUID_CODES = {
'TCP': 'squid_transport_methods',
'UDP': 'squid_transport_methods',
'NONE': 'squid_transport_methods',
'CLIENT': 'squid_handling_opts',
'IMS': 'squid_handling_opts',
'ASYNC': 'squid_handling_opts',
'SWAPFAIL': 'squid_handling_opts',
'REFRESH': 'squid_handling_opts',
'SHARED': 'squid_handling_opts',
'REPLY': 'squid_handling_opts',
'NEGATIVE': 'squid_object_types',
'STALE': 'squid_object_types',
'OFFLINE': 'squid_object_types',
'INVALID': 'squid_object_types',
'FAIL': 'squid_object_types',
'MODIFIED': 'squid_object_types',
'UNMODIFIED': 'squid_object_types',
'REDIRECT': 'squid_object_types',
'HIT': 'squid_cache_events',
'MEM': 'squid_cache_events',
'MISS': 'squid_cache_events',
'DENIED': 'squid_cache_events',
'NOFETCH': 'squid_cache_events',
'TUNNEL': 'squid_cache_events',
'ABORTED': 'squid_transport_errors',
'TIMEOUT': 'squid_transport_errors'
}
REQUEST_REGEX = re.compile(r'(?P<method>[A-Z]+) (?P<url>[^ ]+) [A-Z]+/(?P<http_version>\d(?:.\d)?)')
MIME_TYPES = ['application', 'audio', 'example', 'font', 'image', 'message', 'model', 'multipart', 'text', 'video']
class Service(LogService):
def __init__(self, configuration=None, name=None):
"""
:param configuration:
:param name:
"""
LogService.__init__(self, configuration=configuration, name=name)
self.configuration = configuration
self.log_path = self.configuration.get('path')
self.job = None
def check(self):
"""
:return: bool
1. "log_path" is specified in the module configuration file
2. "log_path" must be readable by netdata user and must exist
3. "log_path' must not be empty. We need at least 1 line to find appropriate pattern to parse
4. other checks depends on log "type"
"""
log_type = self.configuration.get('type', 'web')
log_types = dict(web=Web, apache_cache=ApacheCache, squid=Squid)
if log_type not in log_types:
self.error('bad log type {log_type}. Supported types: {types}'.format(log_type=log_type,
types=log_types.keys()))
return False
if not self.log_path:
self.error('log path is not specified')
return False
if not (self._find_recent_log_file() and os.access(self.log_path, os.R_OK)):
self.error('{log_file} not readable or not exist'.format(log_file=self.log_path))
return False
if not os.path.getsize(self.log_path):
self.error('{log_file} is empty'.format(log_file=self.log_path))
return False
self.job = log_types[log_type](self)
if self.job.check():
self.order = self.job.order
self.definitions = self.job.definitions
return True
return False
def _get_data(self):
return self.job.get_data(self._get_raw_data())
class Web:
def __init__(self, service):
self.service = service
self.order = ORDER_WEB[:]
self.definitions = deepcopy(CHARTS_WEB)
self.pre_filter = check_patterns('filter', self.configuration.get('filter'))
self.storage = dict()
self.data = {
'bytes_sent': 0,
'resp_length': 0,
'resp_time_min': 0,
'resp_time_max': 0,
'resp_time_avg': 0,
'resp_time_upstream_min': 0,
'resp_time_upstream_max': 0,
'resp_time_upstream_avg': 0,
'unique_cur_ipv4': 0,
'unique_cur_ipv6': 0,
'2xx': 0,
'5xx': 0,
'3xx': 0,
'4xx': 0,
'1xx': 0,
'0xx': 0,
'unmatched': 0,
'req_ipv4': 0,
'req_ipv6': 0,
'unique_tot_ipv4': 0,
'unique_tot_ipv6': 0,
'successful_requests': 0,
'redirects': 0,
'bad_requests': 0,
'server_errors': 0,
'other_requests': 0,
'GET': 0
}
def __getattr__(self, item):
return getattr(self.service, item)
def check(self):
last_line = read_last_line(self.log_path)
if not last_line:
return False
# Custom_log_format or predefined log format.
if self.configuration.get('custom_log_format'):
match_dict, error = self.find_regex_custom(last_line)
else:
match_dict, error = self.find_regex(last_line)
# "match_dict" is None if there are any problems
if match_dict is None:
self.error(error)
return False
self.storage['unique_all_time'] = list()
self.storage['url_pattern'] = check_patterns('url_pattern', self.configuration.get('categories'))
self.storage['user_pattern'] = check_patterns('user_pattern', self.configuration.get('user_defined'))
self.create_web_charts(match_dict) # Create charts
self.info('Collected data: %s' % list(match_dict.keys()))
return True
def create_web_charts(self, match_dict):
"""
:param match_dict: dict: regex.search.groupdict(). Ex. {'address': '127.0.0.1', 'code': '200', 'method': 'GET'}
:return:
Create/remove additional charts depending on the 'match_dict' keys and configuration file options
"""
if 'resp_time' not in match_dict:
self.order.remove('response_time')
self.order.remove('response_time_hist')
if 'resp_time_upstream' not in match_dict:
self.order.remove('response_time_upstream')
self.order.remove('response_time_upstream_hist')
# Add 'response_time_hist' and 'response_time_upstream_hist' charts if is specified in the configuration
histogram = self.configuration.get('histogram', None)
if isinstance(histogram, list):
self.storage['bucket_index'] = histogram[:]
self.storage['bucket_index'].append(maxint)
self.storage['buckets'] = [0] * (len(histogram) + 1)
self.storage['upstream_buckets'] = [0] * (len(histogram) + 1)
hist_lines = self.definitions['response_time_hist']['lines']
upstream_hist_lines = self.definitions['response_time_upstream_hist']['lines']
for i, le in enumerate(histogram):
hist_key = 'response_time_hist_%d' % i
upstream_hist_key = 'response_time_upstream_hist_%d' % i
hist_lines.append([hist_key, str(le), 'incremental', 1, 1])
upstream_hist_lines.append([upstream_hist_key, str(le), 'incremental', 1, 1])
hist_lines.append(['response_time_hist_%d' % len(histogram), '+Inf', 'incremental', 1, 1])
upstream_hist_lines.append(['response_time_upstream_hist_%d' % len(histogram), '+Inf', 'incremental', 1, 1])
elif histogram is not None:
self.error('expect histogram list, but was {0}'.format(type(histogram)))
if not self.configuration.get('all_time', True):
self.order.remove('clients_all')
# Add 'detailed_response_codes' chart if specified in the configuration
if self.configuration.get('detailed_response_codes', True):
if self.configuration.get('detailed_response_aggregate', True):
codes = DET_RESP_AGGR[:1]
else:
codes = DET_RESP_AGGR[1:]
for code in codes:
self.order.append('detailed_response_codes%s' % code)
self.definitions['detailed_response_codes%s' % code] = {
'options': [None, 'Detailed Response Codes %s' % code[1:], 'requests/s', 'responses',
'web_log.detailed_response_codes%s' % code, 'stacked'],
'lines': []
}
# Add 'requests_per_url' chart if specified in the configuration
if self.storage['url_pattern']:
for elem in self.storage['url_pattern']:
dim = [elem.description, elem.description[12:], 'incremental']
self.definitions['requests_per_url']['lines'].append(dim)
self.data[elem.description] = 0
self.data['url_pattern_other'] = 0
else:
self.order.remove('requests_per_url')
# Add 'requests_per_user_defined' chart if specified in the configuration
if self.storage['user_pattern'] and 'user_defined' in match_dict:
for elem in self.storage['user_pattern']:
dim = [elem.description, elem.description[13:], 'incremental']
self.definitions['requests_per_user_defined']['lines'].append(dim)
self.data[elem.description] = 0
self.data['user_pattern_other'] = 0
else:
self.order.remove('requests_per_user_defined')
def get_data(self, raw_data=None):
"""
Parses new log lines
:return: dict OR None
None if _get_raw_data method fails.
In all other cases - dict.
"""
if not raw_data:
return None if raw_data is None else self.data
filtered_data = filter_data(raw_data=raw_data, pre_filter=self.pre_filter)
unique_current = set()
timings = defaultdict(lambda: dict(minimum=None, maximum=0, summary=0, count=0))
for line in filtered_data:
match = self.storage['regex'].search(line)
if match:
match_dict = match.groupdict()
try:
code = match_dict['code'][0] + 'xx'
self.data[code] += 1
except KeyError:
self.data['0xx'] += 1
# detailed response code
if self.configuration.get('detailed_response_codes', True):
self.get_data_per_response_codes_detailed(code=match_dict['code'])
# response statuses
self.get_data_per_statuses(code=match_dict['code'])
# requests per user defined pattern
if self.storage['user_pattern'] and 'user_defined' in match_dict:
self.get_data_per_pattern(row=match_dict['user_defined'],
other='user_pattern_other',
pattern=self.storage['user_pattern'])
# method, url, http version
self.get_data_from_request_field(match_dict=match_dict)
# bandwidth sent
bytes_sent = match_dict['bytes_sent'] if '-' not in match_dict['bytes_sent'] else 0
self.data['bytes_sent'] += int(bytes_sent)
# request processing time and bandwidth received
if 'resp_length' in match_dict:
resp_length = match_dict['resp_length'] if '-' not in match_dict['resp_length'] else 0
self.data['resp_length'] += int(resp_length)
if 'resp_time' in match_dict:
resp_time = self.storage['func_resp_time'](float(match_dict['resp_time']))
get_timings(timings=timings['resp_time'], time=resp_time)
if 'bucket_index' in self.storage:
get_hist(self.storage['bucket_index'], self.storage['buckets'], resp_time / 1000)
if 'resp_time_upstream' in match_dict and match_dict['resp_time_upstream'] != '-':
resp_time_upstream = self.storage['func_resp_time'](float(match_dict['resp_time_upstream']))
get_timings(timings=timings['resp_time_upstream'], time=resp_time_upstream)
if 'bucket_index' in self.storage:
get_hist(self.storage['bucket_index'], self.storage['upstream_buckets'], resp_time / 1000)
# requests per ip proto
proto = 'ipv6' if ':' in match_dict['address'] else 'ipv4'
self.data['req_' + proto] += 1
# unique clients ips
if self.configuration.get('all_time', True):
if address_not_in_pool(pool=self.storage['unique_all_time'],
address=match_dict['address'],
pool_size=self.data['unique_tot_ipv4'] + self.data['unique_tot_ipv6']):
self.data['unique_tot_' + proto] += 1
if match_dict['address'] not in unique_current:
self.data['unique_cur_' + proto] += 1
unique_current.add(match_dict['address'])
else:
self.data['unmatched'] += 1
# timings
for elem in timings:
self.data[elem + '_min'] += timings[elem]['minimum']
self.data[elem + '_avg'] += timings[elem]['summary'] / timings[elem]['count']
self.data[elem + '_max'] += timings[elem]['maximum']
# histogram
if 'bucket_index' in self.storage:
buckets = self.storage['buckets']
upstream_buckets = self.storage['upstream_buckets']
for i in range(0, len(self.storage['bucket_index'])):
hist_key = 'response_time_hist_%d' % i
upstream_hist_key = 'response_time_upstream_hist_%d' % i
self.data[hist_key] = buckets[i]
self.data[upstream_hist_key] = upstream_buckets[i]
return self.data
def find_regex(self, last_line):
"""
:param last_line: str: literally last line from log file
:return: tuple where:
[0]: dict or None: match_dict or None
[1]: str: error description
We need to find appropriate pattern for current log file
All logic is do a regex search through the string for all predefined patterns
until we find something or fail.
"""
# REGEX: 1.IPv4 address 2.HTTP method 3. URL 4. Response code
# 5. Bytes sent 6. Response length 7. Response process time
default = re.compile(r'(?P<address>[\da-f.:]+|localhost)'
r' -.*?"(?P<request>[^"]*)"'
r' (?P<code>[1-9]\d{2})'
r' (?P<bytes_sent>\d+|-)')
apache_ext_insert = re.compile(r'(?P<address>[\da-f.:]+|localhost)'
r' -.*?"(?P<request>[^"]*)"'
r' (?P<code>[1-9]\d{2})'
r' (?P<bytes_sent>\d+|-)'
r' (?P<resp_length>\d+|-)'
r' (?P<resp_time>\d+) ')
apache_ext_append = re.compile(r'(?P<address>[\da-f.:]+|localhost)'
r' -.*?"(?P<request>[^"]*)"'
r' (?P<code>[1-9]\d{2})'
r' (?P<bytes_sent>\d+|-)'
r' .*?'
r' (?P<resp_length>\d+|-)'
r' (?P<resp_time>\d+)'
r'(?: |$)')
nginx_ext_insert = re.compile(r'(?P<address>[\da-f.:]+)'
r' -.*?"(?P<request>[^"]*)"'
r' (?P<code>[1-9]\d{2})'
r' (?P<bytes_sent>\d+)'
r' (?P<resp_length>\d+)'
r' (?P<resp_time>\d+\.\d+) ')
nginx_ext2_insert = re.compile(r'(?P<address>[\da-f.:]+)'
r' -.*?"(?P<request>[^"]*)"'
r' (?P<code>[1-9]\d{2})'
r' (?P<bytes_sent>\d+)'
r' (?P<resp_length>\d+)'
r' (?P<resp_time>\d+\.\d+)'
r' (?P<resp_time_upstream>[\d.-]+) ')
nginx_ext_append = re.compile(r'(?P<address>[\da-f.:]+)'
r' -.*?"(?P<request>[^"]*)"'
r' (?P<code>[1-9]\d{2})'
r' (?P<bytes_sent>\d+)'
r' .*?'
r' (?P<resp_length>\d+)'
r' (?P<resp_time>\d+\.\d+)')
def func_usec(time):
return time
def func_sec(time):
return time * 1000000
r_regex = [apache_ext_insert, apache_ext_append,
nginx_ext2_insert, nginx_ext_insert, nginx_ext_append,
default]
r_function = [func_usec, func_usec, func_sec, func_sec, func_sec, func_usec]
regex_function = zip(r_regex, r_function)
match_dict = dict()
for regex, func in regex_function:
match = regex.search(last_line)
if match:
self.storage['regex'] = regex
self.storage['func_resp_time'] = func
match_dict = match.groupdict()
break
return find_regex_return(match_dict=match_dict or None,
msg='Unknown log format. You need to use "custom_log_format" feature.')
def find_regex_custom(self, last_line):
"""
:param last_line: str: literally last line from log file
:return: tuple where:
[0]: dict or None: match_dict or None
[1]: str: error description
We are here only if "custom_log_format" is in logs. We need to make sure:
1. "custom_log_format" is a dict
2. "pattern" in "custom_log_format" and pattern is <str> instance
3. if "time_multiplier" is in "custom_log_format" it must be <int> or <float> instance
If all parameters is ok we need to make sure:
1. Pattern search is success
2. Pattern search contains named subgroups (?P<subgroup_name>) (= "match_dict")
If pattern search is success we need to make sure:
1. All mandatory keys ['address', 'code', 'bytes_sent', 'method', 'url'] are in "match_dict"
If this is True we need to make sure:
1. All mandatory key values from "match_dict" have the correct format
("code" is integer, "method" is uppercase word, etc)
If non mandatory keys in "match_dict" we need to make sure:
1. All non mandatory key values from match_dict ['resp_length', 'resp_time'] have the correct format
("resp_length" is integer or "-", "resp_time" is integer or float)
"""
if not hasattr(self.configuration.get('custom_log_format'), 'keys'):
return find_regex_return(msg='Custom log: "custom_log_format" is not a <dict>')
pattern = self.configuration.get('custom_log_format', dict()).get('pattern')
if not (pattern and isinstance(pattern, str)):
return find_regex_return(msg='Custom log: "pattern" option is not specified or type is not <str>')
resp_time_func = self.configuration.get('custom_log_format', dict()).get('time_multiplier') or 0
if not isinstance(resp_time_func, (int, float)):
return find_regex_return(msg='Custom log: "time_multiplier" is not an integer or a float')
try:
regex = re.compile(pattern)
except re.error as error:
return find_regex_return(msg='Pattern compile error: %s' % str(error))
match = regex.search(last_line)
if not match:
return find_regex_return(msg='Custom log: pattern search FAILED')
match_dict = match.groupdict() or None
if match_dict is None:
return find_regex_return(msg='Custom log: search OK but contains no named subgroups'
' (you need to use ?P<subgroup_name>)')
mandatory_dict = {'address': r'[\w.:-]+',
'code': r'[1-9]\d{2}',
'bytes_sent': r'\d+|-'}
optional_dict = {'resp_length': r'\d+|-',
'resp_time': r'[\d.]+',
'resp_time_upstream': r'[\d.-]+',
'method': r'[A-Z]+',
'http_version': r'\d(?:.\d)?'}
mandatory_values = set(mandatory_dict) - set(match_dict)
if mandatory_values:
return find_regex_return(msg='Custom log: search OK but some mandatory keys (%s) are missing'
% list(mandatory_values))
for key in mandatory_dict:
if not re.search(mandatory_dict[key], match_dict[key]):
return find_regex_return(msg='Custom log: can\'t parse "%s": %s'
% (key, match_dict[key]))
optional_values = set(optional_dict) & set(match_dict)
for key in optional_values:
if not re.search(optional_dict[key], match_dict[key]):
return find_regex_return(msg='Custom log: can\'t parse "%s": %s'
% (key, match_dict[key]))
dot_in_time = '.' in match_dict.get('resp_time', '')
if dot_in_time:
self.storage['func_resp_time'] = lambda time: time * (resp_time_func or 1000000)
else:
self.storage['func_resp_time'] = lambda time: time * (resp_time_func or 1)
self.storage['regex'] = regex
return find_regex_return(match_dict=match_dict)
def get_data_from_request_field(self, match_dict):
if match_dict.get('request'):
match_dict = REQUEST_REGEX.search(match_dict['request'])
if match_dict:
match_dict = match_dict.groupdict()
else:
return
# requests per url
if match_dict.get('url') and self.storage['url_pattern']:
self.get_data_per_pattern(row=match_dict['url'],
other='url_pattern_other',
pattern=self.storage['url_pattern'])
# requests per http method
if match_dict.get('method'):
if match_dict['method'] not in self.data:
self.charts['http_method'].add_dimension([match_dict['method'],
match_dict['method'],
'incremental'])
self.data[match_dict['method']] = 0
self.data[match_dict['method']] += 1
# requests per http version
if match_dict.get('http_version'):
dim_id = match_dict['http_version'].replace('.', '_')
if dim_id not in self.data:
self.charts['http_version'].add_dimension([dim_id,
match_dict['http_version'],
'incremental'])
self.data[dim_id] = 0
self.data[dim_id] += 1
# requests per port number
if match_dict.get('port'):
if match_dict['port'] not in self.data:
self.charts['port'].add_dimension([match_dict['port'],
match_dict['port'],
'incremental'])
self.data[match_dict['port']] = 0
self.data[match_dict['port']] += 1
# requests per vhost
if match_dict.get('vhost'):
dim_id = match_dict['vhost'].replace('.', '_')
if dim_id not in self.data:
self.charts['vhost'].add_dimension([dim_id,
match_dict['vhost'],
'incremental'])
self.data[dim_id] = 0
self.data[dim_id] += 1
def get_data_per_response_codes_detailed(self, code):
"""
:param code: str: CODE from parsed line. Ex.: '202, '499'
:return:
Calls add_new_dimension method If the value is found for the first time
"""
if code not in self.data:
if self.configuration.get('detailed_response_aggregate', True):
self.charts['detailed_response_codes'].add_dimension([code, code, 'incremental'])
self.data[code] = 0
else:
code_index = int(code[0]) if int(code[0]) < 6 else 6
chart_key = 'detailed_response_codes' + DET_RESP_AGGR[code_index]
self.charts[chart_key].add_dimension([code, code, 'incremental'])
self.data[code] = 0
self.data[code] += 1
def get_data_per_pattern(self, row, other, pattern):
"""
:param row: str:
:param other: str:
:param pattern: named tuple: (['pattern_description', 'regular expression'])
:return:
Scan through string looking for the first location where patterns produce a match for all user
defined patterns
"""
match = None
for elem in pattern:
if elem.func(row):
self.data[elem.description] += 1
match = True
break
if not match:
self.data[other] += 1
def get_data_per_statuses(self, code):
"""
:param code: str: response status code. Ex.: '202', '499'
:return:
"""
code_class = code[0]
if code_class == '2' or code == '304' or code_class == '1':
self.data['successful_requests'] += 1
elif code_class == '3':
self.data['redirects'] += 1
elif code_class == '4':
self.data['bad_requests'] += 1
elif code_class == '5':
self.data['server_errors'] += 1
else:
self.data['other_requests'] += 1
class ApacheCache:
def __init__(self, service):
self.service = service
self.order = ORDER_APACHE_CACHE
self.definitions = CHARTS_APACHE_CACHE
@staticmethod
def check():
return True
@staticmethod
def get_data(raw_data=None):
data = dict(hit=0, miss=0, other=0)
if not raw_data:
return None if raw_data is None else data
for line in raw_data:
if 'cache hit' in line:
data['hit'] += 1
elif 'cache miss' in line:
data['miss'] += 1
else:
data['other'] += 1
return data
class Squid:
def __init__(self, service):
self.service = service
self.order = ORDER_SQUID
self.definitions = CHARTS_SQUID
self.pre_filter = check_patterns('filter', self.configuration.get('filter'))
self.storage = dict()
self.data = {
'duration_max': 0,
'duration_avg': 0,
'duration_min': 0,
'bytes': 0,
'0xx': 0,
'1xx': 0,
'2xx': 0,
'3xx': 0,
'4xx': 0,
'5xx': 0,
'other': 0,
'unmatched': 0,
'unique_ipv4': 0,
'unique_ipv6': 0,
'unique_tot_ipv4': 0,
'unique_tot_ipv6': 0,
'successful_requests': 0,
'redirects': 0,
'bad_requests': 0,
'server_errors': 0,
'other_requests': 0
}
def __getattr__(self, item):
return getattr(self.service, item)
def check(self):
last_line = read_last_line(self.log_path)
if not last_line:
return False
self.storage['unique_all_time'] = list()
self.storage['regex'] = re.compile(r'[0-9.]+\s+(?P<duration>[0-9]+)'
r' (?P<client_address>[\da-f.:]+)'
r' (?P<squid_code>[A-Z_]+)/'
r'(?P<http_code>[0-9]+)'
r' (?P<bytes>[0-9]+)'
r' (?P<method>[A-Z_]+)'
r' (?P<url>[^ ]+)'
r' (?P<user>[^ ]+)'
r' (?P<hier_code>[A-Z_]+)/[\da-z.:-]+'
r' (?P<mime_type>[A-Za-z-]*)')
match = self.storage['regex'].search(last_line)
if not match:
self.error('Regex not matches (%s)' % self.storage['regex'].pattern)
return False
self.storage['dynamic'] = {
'http_code': {
'chart': 'squid_detailed_response_codes',
'func_dim_id': None,
'func_dim': None
},
'hier_code': {
'chart': 'squid_hier_code',
'func_dim_id': None,
'func_dim': lambda v: v.replace('HIER_', '')
},
'method': {
'chart': 'squid_method',
'func_dim_id': None,
'func_dim': None
},
'mime_type': {
'chart': 'squid_mime_type',
'func_dim_id': lambda v: str.lower(v) if str.lower(v) in MIME_TYPES else 'unknown',
'func_dim': None
}
}
if not self.configuration.get('all_time', True):
self.order.remove('squid_clients_all')
return True
def get_data(self, raw_data=None):
if not raw_data:
return None if raw_data is None else self.data
filtered_data = filter_data(raw_data=raw_data, pre_filter=self.pre_filter)
unique_ip = set()
timings = defaultdict(lambda: dict(minimum=None, maximum=0, summary=0, count=0))
for row in filtered_data:
match = self.storage['regex'].search(row)
if match:
match = match.groupdict()
if match['duration'] != '0':