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# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# 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 Affero 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/>.
import itertools
from prometheus_client import Counter, Histogram
NAMESPACE = 'haproxy_log'
TIMERS = {
'request_wait_milliseconds': (
'time_wait_request',
"Time spent waiting for the client to send the full HTTP request (Tq in HAProxy)",
),
'server_tcp_connection_establish_milliseconds': (
'time_connect_server',
"Time in milliseconds to connect to the final server (Tc in HAProxy)",
),
'request_queued_milliseconds': (
'time_wait_queues',
"Time that the request spend on HAProxy queues (Tw in HAProxy)",
),
'response_processing_milliseconds': (
'time_wait_response',
"Time waiting the downstream server to send the full HTTP response (Tr in HAProxy)",
),
'session_duration_milliseconds': (
'total_time',
"Time between accepting the HTTP request and sending back the HTTP response (Tt in HAProxy)",
),
}
TIMER_ABORT_COUNTERS = {
'request_wait_milliseconds': ( # Tq
'request_abort_total',
"Count of connections aborted before a complete request was received",
),
'server_tcp_connection_establish_milliseconds': ( # Tc
'request_pre_server_connection_abort',
"Count of connections aborted before a connection to a server was established",
),
'request_queued_milliseconds': ( # Tw
'request_pre_queue_abort_total',
"Count of connections aborted before reaching the queue",
),
'response_processing_milliseconds': ( # Tr
'request_response_abort_total',
"Count of connections for which the last response header from the server was never received",
),
}
TIMER_NAMES = TIMERS.keys()
# These are attributes associated with each line processed, which can be used
# as labels on metrics
REQUEST_LABELS = (
'status_code',
'frontend_name',
'backend_name',
'server_name',
'http_request_path',
'http_request_method',
'client_ip',
'client_port',
)
# These are the default buckets for the Prometheus python client, adjusted to
# be in milliseconds
DEFAULT_TIMER_BUCKETS = (
5, 10, 25,
50, 75, 100, 250,
500, 750, 1000, 2500,
5000, 7500, 10000, float('inf'),
)
DEFAULT_QUEUE_LENGTH_BUCKETS = tuple(itertools.chain(
range(0, 10),
(20, 30, 40, 60, 100, float('inf')),
))
def requests_total(labelnames):
requests_total = Counter(
'requests_total',
"Total processed requests",
namespace=NAMESPACE,
labelnames=labelnames,
)
if len(labelnames) == 0:
def observe(line):
requests_total.inc()
else:
def observe(line):
requests_total.labels({
label: getattr(line, label)
for label in labelnames
}).inc()
return observe
def timer(timer_name, labelnames, buckets):
attribute, documentation = TIMERS[timer_name]
all_labelnames = labelnames
if timer_name == 'session_duration_milliseconds':
all_labelnames = labelnames + ['logasap']
histogram = Histogram(
timer_name,
documentation=documentation,
namespace=NAMESPACE,
labelnames=tuple(all_labelnames),
buckets=buckets,
)
if timer_name == 'session_duration_milliseconds':
def observe(line):
raw_value = getattr(line, attribute)
label_values = {
label: getattr(line, label)
for label in labelnames
}
if raw_value.startswith('+'):
label_values['logasap'] = True
value = float(raw_value[1:])
else:
label_values['logasap'] = False
value = float(raw_value)
histogram.labels(label_values).observe(value)
else:
abort_counter_name, abort_counter_documentation = TIMER_ABORT_COUNTERS[timer_name]
abort_counter = Counter(
abort_counter_name,
abort_counter_documentation,
namespace=NAMESPACE,
labelnames=labelnames,
)
if len(labelnames) == 0:
def observe(line):
value = float(getattr(line, attribute))
if value == -1:
abort_counter.inc()
else:
histogram.observe(value)
else:
def observe(line):
value = float(getattr(line, attribute))
label_values = {
label: getattr(line, label)
for label in labelnames
}
if value == -1:
abort_counter.labels(label_values).inc()
else:
histogram.labels(label_values).observe(value)
return observe
def bytes_read_total(labelnames):
counter = Counter(
'bytes_read_total',
"Bytes read total",
namespace=NAMESPACE,
labelnames=labelnames,
)
if len(labelnames) == 0:
def observe(line):
counter.inc()
else:
def observe(line):
counter.labels({
label: getattr(line, label)
for label in labelnames
}).inc()
return observe
def backend_queue_length(labelnames, buckets):
histogram = Histogram(
'backend_queue_length',
"Requests processed before this one in the backend queue",
namespace=NAMESPACE,
labelnames=tuple(labelnames),
buckets=buckets,
)
if len(labelnames) == 0:
def observe(line):
histogram.observe(line.queue_backend)
else:
def observe(line):
histogram.labels({
label: getattr(line, label)
for label in labelnames
}).observe(line.queue_backend)
return observe
def server_queue_length(labelnames, buckets):
histogram = Histogram(
'server_queue_length',
"Length of the server queue when the request was received",
namespace=NAMESPACE,
labelnames=tuple(labelnames),
buckets=buckets,
)
if len(labelnames) == 0:
def observe(line):
histogram.observe(line.queue_server)
else:
def observe(line):
histogram.labels({
label: getattr(line, label)
for label in labelnames
}).observe(line.queue_server)
return observe
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