'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_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]

]},

'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]

]}

'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"]

]}

'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': [

]}

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',

def __init__(self, configuration=None, name=None):

"""

LogService.__init__(self, configuration=configuration, name=name)

self.log_type = self.configuration.get('type', 'web')

self.log_path = self.configuration.get('path')

def check(self):

"""

log_types = dict(web=Web, apache_cache=ApacheCache, squid=Squid)

if self.log_type not in log_types:

self.error('bad log type (%s). Supported types: %s' % (self.log_type, 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 access(self.log_path, R_OK)):

self.error('%s not readable or not exist' % self.log_path)

return False

if not getsize(self.log_path):

self.error('%s is empty' % self.log_path)

return False

self.configuration['update_every'] = self.update_every

self.configuration['name'] = self.name

self.configuration['override_name'] = self.override_name

self.configuration['_dimensions'] = self._dimensions

self.configuration['path'] = self.log_path

cls = log_types[self.log_type]

self.Job = cls(configuration=self.configuration)

if self.Job.check():

self.order = self.Job.order

self.definitions = self.Job.definitions

self.info('Current log file: %s' % self.log_path)

return True

return False

def _get_data(self):

def filter_data(self, raw_data):

"""

if not self.pre_filter:

return raw_data

filtered = raw_data

for elem in self.pre_filter:

if elem.description == 'filter_include':

filtered = filter(elem.func, filtered)

elif elem.description == 'filter_exclude':

filtered = filterfalse(elem.func, filtered)

return filtered

def add_new_dimension(self, dimension_id, chart_key, dimension=None,

algorithm='incremental', multiplier=1, divisor=1):

"""

self.data[dimension_id] = 0

# SET method check if dim in _dimensions

self.conf['_dimensions'].append(dimension_id)

# UPDATE method do SET only if dim in definitions

dimension_list = list(map(str, [dimension_id,

dimension if dimension else dimension_id,

algorithm,

multiplier,

divisor]))

self.definitions[chart_key]['lines'].append(dimension_list)

job_name = find_job_name(self.conf['override_name'], self.conf['name'])

opts = self.definitions[chart_key]['options']

chart = 'CHART %s.%s "" "%s" %s "%s" %s %s 60000 %s\n' % (job_name, chart_key,

opts[1], opts[2], opts[3],

opts[4], opts[5], self.conf['update_every'])

print(chart + "DIMENSION %s\n" % ' '.join(dimension_list))

def get_last_line(self):

"""

# Read last line (or first if there is only one line)

with open(self.conf['path'], 'rb') as logs:

logs.seek(-2, 2)

while logs.read(1) != b'\n':

logs.seek(-2, 1)

if logs.tell() == 0:

break

last_line = logs.readline()

try:

return last_line.decode()

except UnicodeDecodeError:

try:

return last_line.decode(encoding='utf-8')

except (TypeError, UnicodeDecodeError) as error:

msg.error('web_log', str(error))

return False

@staticmethod

def error(*params):

msg.error('web_log', ' '.join(map(str, params)))

@staticmethod

def info(*params):

def __init__(self, configuration):

self.conf = configuration

self.pre_filter = check_patterns('filter', self.conf.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 check(self):

last_line = self.get_last_line()

if not last_line:

return False

# Custom_log_format or predefined log format.

if self.conf.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(str(error))

return False

self.storage['unique_all_time'] = list()

self.storage['url_pattern'] = check_patterns('url_pattern', self.conf.get('categories'))

self.storage['user_pattern'] = check_patterns('user_pattern', self.conf.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):

"""

self.order = ORDER_WEB[:]

self.definitions = deepcopy(CHARTS_WEB)

if 'resp_time' not in match_dict:

self.order.remove('response_time')

if 'resp_time_upstream' not in match_dict:

self.order.remove('response_time_upstream')

if not self.conf.get('all_time', True):

self.order.remove('clients_all')

# Add 'detailed_response_codes' chart if specified in the configuration

if self.conf.get('detailed_response_codes', True):

codes = DET_RESP_AGGR[:1] if self.conf.get('detailed_response_aggregate', True) else 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']:

self.definitions['requests_per_url']['lines'].append([elem.description,

elem.description[12:],

'incremental'])

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']:

self.definitions['requests_per_user_defined']['lines'].append([elem.description,

elem.description[13:],

'incremental'])

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):

"""

if not raw_data:

return None if raw_data is None else self.data

filtered_data = self.filter_data(raw_data=raw_data)

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.conf.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 url

if self.storage['url_pattern']:

self.get_data_per_pattern(row=match_dict['url'],

other='url_pattern_other',

pattern=self.storage['url_pattern'])

# 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'])

# requests per http method

if match_dict['method'] not in self.data:

self.add_new_dimension(dimension_id=match_dict['method'],

chart_key='http_method')

self.data[match_dict['method']] += 1

# requests per http version

if 'http_version' in match_dict:

dim_id = match_dict['http_version'].replace('.', '_')

if dim_id not in self.data:

self.add_new_dimension(dimension_id=dim_id,

chart_key='http_version',

dimension=match_dict['http_version'])

self.data[dim_id] += 1

# 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:

self.data['resp_length'] += int(match_dict['resp_length'])

if 'resp_time' in match_dict:

get_timings(timings=timings['resp_time'],

time=self.storage['func_resp_time'](float(match_dict['resp_time'])))

if 'resp_time_upstream' in match_dict and match_dict['resp_time_upstream'] != '-':

get_timings(timings=timings['resp_time_upstream'],

time=self.storage['func_resp_time'](float(match_dict['resp_time_upstream'])))

# requests per ip proto

proto = 'ipv6' if ':' in match_dict['address'] else 'ipv4'

self.data['req_' + proto] += 1

# unique clients ips

if self.conf.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']

return self.data

def find_regex(self, last_line):

"""

# 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<method>[A-Z]+)'

r' (?P<url>[^ ]+)'

r' [A-Z]+/(?P<http_version>\d\.\d)"'

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<method>[A-Z]+)'

r' (?P<url>[^ ]+)'

r' [A-Z]+/(?P<http_version>\d\.\d)"'

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<method>[A-Z]+)'

r' (?P<url>[^ ]+)'

r' [A-Z]+/(?P<http_version>\d\.\d)"'

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<method>[A-Z]+)'

r' (?P<url>[^ ]+)'

r' [A-Z]+/(?P<http_version>\d\.\d)"'

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<method>[A-Z]+)'

r' (?P<url>[^ ]+)'

r' [A-Z]+/(?P<http_version>\d\.\d)"'

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<method>[A-Z]+)'

r' (?P<url>[^ ]+)'

r' [A-Z]+/(?P<http_version>\d\.\d)"'

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):

"""

if not hasattr(self.conf.get('custom_log_format'), 'keys'):

return find_regex_return(msg='Custom log: "custom_log_format" is not a <dict>')

pattern = self.conf.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.conf.get('custom_log_format', dict()).get('time_multiplier') or 0

if not isinstance(resp_time_func, int):

return find_regex_return(msg='Custom log: "time_multiplier" is not an integer')

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'[\da-f.:]+|localhost',

'code': r'[1-9]\d{2}',

'method': r'[A-Z]+',

'bytes_sent': r'\d+|-'}

optional_dict = {'resp_length': r'\d+',

'resp_time': r'[\d.]+',

'resp_time_upstream': r'[\d.-]+',

'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_per_response_codes_detailed(self, code):

"""

if code not in self.data:

if self.conf.get('detailed_response_aggregate', True):

self.add_new_dimension(dimension_id=code,

chart_key='detailed_response_codes')

else:

code_index = int(code[0]) if int(code[0]) < 6 else 6

chart_key = 'detailed_response_codes' + DET_RESP_AGGR[code_index]

self.add_new_dimension(dimension_id=code,

chart_key=chart_key)

self.data[code] += 1

def get_data_per_pattern(self, row, other, pattern):

"""

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):

"""

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:

def __init__(self, configuration):

self.conf = configuration

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

def __init__(self, configuration):

self.conf = configuration

self.order = ORDER_SQUID

self.definitions = CHARTS_SQUID

self.pre_filter = check_patterns('filter', self.conf.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 check(self):

last_line = self.get_last_line()

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-f.:-]+'

r' (?P<mime_type>[^\n]+)')

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: v.split('/')[0],

'func_dim': None}}

if not self.conf.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 = self.filter_data(raw_data=raw_data)

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':

get_timings(timings=timings['duration'], time=float(match['duration']) * 1000)

try:

self.data[match['http_code'][0] + 'xx'] += 1

except KeyError:

self.data['other'] += 1

self.get_data_per_statuses(match['http_code'])

self.get_data_per_squid_code(match['squid_code'])

self.data['bytes'] += int(match['bytes'])

proto = 'ipv4' if '.' in match['client_address'] else 'ipv6'

# unique clients ips

if self.conf.get('all_time', True):

if address_not_in_pool(pool=self.storage['unique_all_time'],

address=match['client_address'],

pool_size=self.data['unique_tot_ipv4'] + self.data['unique_tot_ipv6']):

self.data['unique_tot_' + proto] += 1

if match['client_address'] not in unique_ip:

self.data['unique_' + proto] += 1

unique_ip.add(match['client_address'])

for key, values in self.storage['dynamic'].items():

if match[key] == '-':

continue

dimension_id = values['func_dim_id'](match[key]) if values['func_dim_id'] else match[key]

if dimension_id not in self.data:

dimension = values['func_dim'](match[key]) if values['func_dim'] else dimension_id

self.add_new_dimension(dimension_id=dimension_id,

chart_key=values['chart'],

dimension=dimension)

self.data[dimension_id] += 1

else:

self.data['unmatched'] += 1

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']

return self.data

def get_data_per_statuses(self, code):

"""

code_class = code[0]

if code_class == '2' or code == '304' or code_class == '1' or code == '000':

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' or code_class == '6':

self.data['server_errors'] += 1

else:

self.data['other_requests'] += 1

def get_data_per_squid_code(self, code):

"""

if code not in self.data:

self.add_new_dimension(dimension_id=code,

chart_key='squid_code')

self.data[code] += 1

for tag in code.split('_'):

try:

chart_key = SQUID_CODES[tag]

except KeyError:

continue

dimension_id = '_'.join(['code_detailed', tag])

if dimension_id not in self.data:

self.add_new_dimension(dimension_id=dimension_id,

dimension=tag,

chart_key=chart_key)

"""

if timings['minimum'] is None:

timings['minimum'] = time

if time > timings['maximum']:

timings['maximum'] = time

elif time < timings['minimum']:

timings['minimum'] = time

timings['summary'] += time

"""

index = bisect.bisect_left(pool, address)

if index < pool_size:

if pool[index] == address:

return False

bisect.insort_left(pool, address)

return True

bisect.insort_left(pool, address)

"""