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tasks: improve logging on failed tasks
tasks: improve logging on failed tasks

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gunicorn_config.py
396 lines | 12.0 KiB | text/x-python | PythonLexer
"""
Gunicorn config extension and hooks. This config file adds some extra settings and memory management.
Gunicorn configuration should be managed by .ini files entries of RhodeCode or VCSServer
"""
import gc
import os
import sys
import math
import time
import threading
import traceback
import random
import socket
from gunicorn.glogging import Logger
def get_workers():
import multiprocessing
return multiprocessing.cpu_count() * 2 + 1
# GLOBAL
errorlog = '-'
accesslog = '-'
# SERVER MECHANICS
# None == system temp dir
# worker_tmp_dir is recommended to be set to some tmpfs
worker_tmp_dir = None
tmp_upload_dir = None
#reuse_port = True
# Custom log format
#access_log_format = (
# '%(t)s %(p)s INFO [GNCRN] %(h)-15s rqt:%(L)s %(s)s %(b)-6s "%(m)s:%(U)s %(q)s" usr:%(u)s "%(f)s" "%(a)s"')
# loki format for easier parsing in grafana
access_log_format = (
'time="%(t)s" pid=%(p)s level="INFO" type="[GNCRN]" ip="%(h)-15s" rqt="%(L)s" response_code="%(s)s" response_bytes="%(b)-6s" uri="%(m)s:%(U)s %(q)s" user=":%(u)s" user_agent="%(a)s"')
# self adjust workers based on CPU count
# workers = get_workers()
def _get_process_rss(pid=None):
try:
import psutil
if pid:
proc = psutil.Process(pid)
else:
proc = psutil.Process()
return proc.memory_info().rss
except Exception:
return None
def _get_config(ini_path):
try:
import configparser
except ImportError:
import ConfigParser as configparser
try:
config = configparser.RawConfigParser()
config.read(ini_path)
return config
except Exception:
return None
def _time_with_offset(memory_usage_check_interval):
return time.time() - random.randint(0, memory_usage_check_interval/2.0)
def pre_fork(server, worker):
pass
def post_fork(server, worker):
# memory spec defaults
_memory_max_usage = 0
_memory_usage_check_interval = 60
_memory_usage_recovery_threshold = 0.8
ini_path = os.path.abspath(server.cfg.paste)
conf = _get_config(ini_path)
section = 'server:main'
if conf and conf.has_section(section):
if conf.has_option(section, 'memory_max_usage'):
_memory_max_usage = conf.getint(section, 'memory_max_usage')
if conf.has_option(section, 'memory_usage_check_interval'):
_memory_usage_check_interval = conf.getint(section, 'memory_usage_check_interval')
if conf.has_option(section, 'memory_usage_recovery_threshold'):
_memory_usage_recovery_threshold = conf.getfloat(section, 'memory_usage_recovery_threshold')
worker._memory_max_usage = int(os.environ.get('RC_GUNICORN_MEMORY_MAX_USAGE', '')
or _memory_max_usage)
worker._memory_usage_check_interval = int(os.environ.get('RC_GUNICORN_MEMORY_USAGE_CHECK_INTERVAL', '')
or _memory_usage_check_interval)
worker._memory_usage_recovery_threshold = float(os.environ.get('RC_GUNICORN_MEMORY_USAGE_RECOVERY_THRESHOLD', '')
or _memory_usage_recovery_threshold)
# register memory last check time, with some random offset so we don't recycle all
# at once
worker._last_memory_check_time = _time_with_offset(_memory_usage_check_interval)
if _memory_max_usage:
server.log.info("[%-10s] WORKER spawned with max memory set at %s", worker.pid,
_format_data_size(_memory_max_usage))
else:
server.log.info("[%-10s] WORKER spawned", worker.pid)
def pre_exec(server):
server.log.info("Forked child, re-executing.")
def on_starting(server):
server_lbl = '{} {}'.format(server.proc_name, server.address)
server.log.info("Server %s is starting.", server_lbl)
def when_ready(server):
server.log.info("Server %s is ready. Spawning workers", server)
def on_reload(server):
pass
def _format_data_size(size, unit="B", precision=1, binary=True):
"""Format a number using SI units (kilo, mega, etc.).
``size``: The number as a float or int.
``unit``: The unit name in plural form. Examples: "bytes", "B".
``precision``: How many digits to the right of the decimal point. Default
is 1. 0 suppresses the decimal point.
``binary``: If false, use base-10 decimal prefixes (kilo = K = 1000).
If true, use base-2 binary prefixes (kibi = Ki = 1024).
``full_name``: If false (default), use the prefix abbreviation ("k" or
"Ki"). If true, use the full prefix ("kilo" or "kibi"). If false,
use abbreviation ("k" or "Ki").
"""
if not binary:
base = 1000
multiples = ('', 'k', 'M', 'G', 'T', 'P', 'E', 'Z', 'Y')
else:
base = 1024
multiples = ('', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi', 'Yi')
sign = ""
if size > 0:
m = int(math.log(size, base))
elif size < 0:
sign = "-"
size = -size
m = int(math.log(size, base))
else:
m = 0
if m > 8:
m = 8
if m == 0:
precision = '%.0f'
else:
precision = '%%.%df' % precision
size = precision % (size / math.pow(base, m))
return '%s%s %s%s' % (sign, size.strip(), multiples[m], unit)
def _check_memory_usage(worker):
memory_max_usage = worker._memory_max_usage
if not memory_max_usage:
return
memory_usage_check_interval = worker._memory_usage_check_interval
memory_usage_recovery_threshold = memory_max_usage * worker._memory_usage_recovery_threshold
elapsed = time.time() - worker._last_memory_check_time
if elapsed > memory_usage_check_interval:
mem_usage = _get_process_rss()
if mem_usage and mem_usage > memory_max_usage:
worker.log.info(
"memory usage %s > %s, forcing gc",
_format_data_size(mem_usage), _format_data_size(memory_max_usage))
# Try to clean it up by forcing a full collection.
gc.collect()
mem_usage = _get_process_rss()
if mem_usage > memory_usage_recovery_threshold:
# Didn't clean up enough, we'll have to terminate.
worker.log.warning(
"memory usage %s > %s after gc, quitting",
_format_data_size(mem_usage), _format_data_size(memory_max_usage))
# This will cause worker to auto-restart itself
worker.alive = False
worker._last_memory_check_time = time.time()
def worker_int(worker):
worker.log.info("[%-10s] worker received INT or QUIT signal", worker.pid)
# get traceback info, on worker crash
id2name = dict([(th.ident, th.name) for th in threading.enumerate()])
code = []
for thread_id, stack in sys._current_frames().items():
code.append(
"\n# Thread: %s(%d)" % (id2name.get(thread_id, ""), thread_id))
for fname, lineno, name, line in traceback.extract_stack(stack):
code.append('File: "%s", line %d, in %s' % (fname, lineno, name))
if line:
code.append(" %s" % (line.strip()))
worker.log.debug("\n".join(code))
def worker_abort(worker):
worker.log.info("[%-10s] worker received SIGABRT signal", worker.pid)
def worker_exit(server, worker):
worker.log.info("[%-10s] worker exit", worker.pid)
def child_exit(server, worker):
worker.log.info("[%-10s] worker child exit", worker.pid)
def pre_request(worker, req):
worker.start_time = time.time()
worker.log.debug(
"GNCRN PRE WORKER [cnt:%s]: %s %s", worker.nr, req.method, req.path)
def post_request(worker, req, environ, resp):
total_time = time.time() - worker.start_time
# Gunicorn sometimes has problems with reading the status_code
status_code = getattr(resp, 'status_code', '')
worker.log.debug(
"GNCRN POST WORKER [cnt:%s]: %s %s resp: %s, Load Time: %.4fs",
worker.nr, req.method, req.path, status_code, total_time)
_check_memory_usage(worker)
def _filter_proxy(ip):
"""
Passed in IP addresses in HEADERS can be in a special format of multiple
ips. Those comma separated IPs are passed from various proxies in the
chain of request processing. The left-most being the original client.
We only care about the first IP which came from the org. client.
:param ip: ip string from headers
"""
if ',' in ip:
_ips = ip.split(',')
_first_ip = _ips[0].strip()
return _first_ip
return ip
def _filter_port(ip):
"""
Removes a port from ip, there are 4 main cases to handle here.
- ipv4 eg. 127.0.0.1
- ipv6 eg. ::1
- ipv4+port eg. 127.0.0.1:8080
- ipv6+port eg. [::1]:8080
:param ip:
"""
def is_ipv6(ip_addr):
if hasattr(socket, 'inet_pton'):
try:
socket.inet_pton(socket.AF_INET6, ip_addr)
except socket.error:
return False
else:
return False
return True
if ':' not in ip: # must be ipv4 pure ip
return ip
if '[' in ip and ']' in ip: # ipv6 with port
return ip.split(']')[0][1:].lower()
# must be ipv6 or ipv4 with port
if is_ipv6(ip):
return ip
else:
ip, _port = ip.split(':')[:2] # means ipv4+port
return ip
def get_ip_addr(environ):
proxy_key = 'HTTP_X_REAL_IP'
proxy_key2 = 'HTTP_X_FORWARDED_FOR'
def_key = 'REMOTE_ADDR'
_filters = lambda x: _filter_port(_filter_proxy(x))
ip = environ.get(proxy_key)
if ip:
return _filters(ip)
ip = environ.get(proxy_key2)
if ip:
return _filters(ip)
ip = environ.get(def_key, '0.0.0.0')
return _filters(ip)
class RhodeCodeLogger(Logger):
"""
Custom Logger that allows some customization that gunicorn doesn't allow
"""
datefmt = r"%Y-%m-%d %H:%M:%S"
def __init__(self, cfg):
Logger.__init__(self, cfg)
def now(self):
""" return date in RhodeCode Log format """
now = time.time()
msecs = int((now - long(now)) * 1000)
return time.strftime(self.datefmt, time.localtime(now)) + '.{0:03d}'.format(msecs)
def atoms(self, resp, req, environ, request_time):
""" Gets atoms for log formatting.
"""
status = resp.status
if isinstance(status, str):
status = status.split(None, 1)[0]
atoms = {
'h': get_ip_addr(environ),
'l': '-',
'u': self._get_user(environ) or '-',
't': self.now(),
'r': "%s %s %s" % (environ['REQUEST_METHOD'],
environ['RAW_URI'],
environ["SERVER_PROTOCOL"]),
's': status,
'm': environ.get('REQUEST_METHOD'),
'U': environ.get('PATH_INFO'),
'q': environ.get('QUERY_STRING'),
'H': environ.get('SERVER_PROTOCOL'),
'b': getattr(resp, 'sent', None) is not None and str(resp.sent) or '-',
'B': getattr(resp, 'sent', None),
'f': environ.get('HTTP_REFERER', '-'),
'a': environ.get('HTTP_USER_AGENT', '-'),
'T': request_time.seconds,
'D': (request_time.seconds * 1000000) + request_time.microseconds,
'M': (request_time.seconds * 1000) + int(request_time.microseconds/1000),
'L': "%d.%06d" % (request_time.seconds, request_time.microseconds),
'p': "<%s>" % os.getpid()
}
# add request headers
if hasattr(req, 'headers'):
req_headers = req.headers
else:
req_headers = req
if hasattr(req_headers, "items"):
req_headers = req_headers.items()
atoms.update({"{%s}i" % k.lower(): v for k, v in req_headers})
resp_headers = resp.headers
if hasattr(resp_headers, "items"):
resp_headers = resp_headers.items()
# add response headers
atoms.update({"{%s}o" % k.lower(): v for k, v in resp_headers})
# add environ variables
environ_variables = environ.items()
atoms.update({"{%s}e" % k.lower(): v for k, v in environ_variables})
return atoms
logger_class = RhodeCodeLogger