""" 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 import dataclasses from gunicorn.glogging import Logger def get_workers(): import multiprocessing return multiprocessing.cpu_count() * 2 + 1 bind = "127.0.0.1:10020" # Error logging output for gunicorn (-) is stdout errorlog = '-' # Access logging output for gunicorn (-) is stdout 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 # use re-use port logic #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"') # Sets the number of process workers. More workers means more concurrent connections # RhodeCode can handle at the same time. Each additional worker also it increases # memory usage as each has it's own set of caches. # Recommended value is (2 * NUMBER_OF_CPUS + 1), eg 2CPU = 5 workers, but no more # than 8-10 unless for huge deployments .e.g 700-1000 users. # `instance_id = *` must be set in the [app:main] section below (which is the default) # when using more than 1 worker. workers = 4 # self adjust workers based on CPU count, to use maximum of CPU and not overquota the resources # workers = get_workers() # Gunicorn access log level loglevel = 'info' # Process name visible in process list proc_name = 'rhodecode_enterprise' # Type of worker class, one of `sync`, `gevent` # currently `sync` is the only option allowed. worker_class = 'gevent' # The maximum number of simultaneous clients. Valid only for gevent worker_connections = 10 # Max number of requests that worker will handle before being gracefully restarted. # Prevents memory leaks, jitter adds variability so not all workers are restarted at once. max_requests = 2000 max_requests_jitter = 30 # The maximum number of pending connections. # Exceeding this number results in the client getting an error when attempting to connect. backlog = 64 # Amount of time a worker can spend with handling a request before it # gets killed and restarted. By default set to 21600 (6hrs) # Examples: 1800 (30min), 3600 (1hr), 7200 (2hr), 43200 (12h) timeout = 21600 # The maximum size of HTTP request line in bytes. # 0 for unlimited limit_request_line = 0 # Limit the number of HTTP headers fields in a request. # By default this value is 100 and can't be larger than 32768. limit_request_fields = 32768 # Limit the allowed size of an HTTP request header field. # Value is a positive number or 0. # Setting it to 0 will allow unlimited header field sizes. limit_request_field_size = 0 # Timeout for graceful workers restart. # After receiving a restart signal, workers have this much time to finish # serving requests. Workers still alive after the timeout (starting from the # receipt of the restart signal) are force killed. # Examples: 1800 (30min), 3600 (1hr), 7200 (2hr), 43200 (12h) graceful_timeout = 21600 # The number of seconds to wait for requests on a Keep-Alive connection. # Generally set in the 1-5 seconds range. keepalive = 2 # Maximum memory usage that each worker can use before it will receive a # graceful restart signal 0 = memory monitoring is disabled # Examples: 268435456 (256MB), 536870912 (512MB) # 1073741824 (1GB), 2147483648 (2GB), 4294967296 (4GB) memory_max_usage = 0 # How often in seconds to check for memory usage for each gunicorn worker memory_usage_check_interval = 60 # Threshold value for which we don't recycle worker if GarbageCollection # frees up enough resources. Before each restart we try to run GC on worker # in case we get enough free memory after that, restart will not happen. memory_usage_recovery_threshold = 0.8 @dataclasses.dataclass class MemoryCheckConfig: max_usage: int check_interval: int recovery_threshold: float 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): import configparser try: config = configparser.RawConfigParser() config.read(ini_path) return config except Exception: return None def get_memory_usage_params(config=None): # memory spec defaults _memory_max_usage = memory_max_usage _memory_usage_check_interval = memory_usage_check_interval _memory_usage_recovery_threshold = memory_usage_recovery_threshold if config: ini_path = os.path.abspath(config) 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') _memory_max_usage = int(os.environ.get('RC_GUNICORN_MEMORY_MAX_USAGE', '') or _memory_max_usage) _memory_usage_check_interval = int(os.environ.get('RC_GUNICORN_MEMORY_USAGE_CHECK_INTERVAL', '') or _memory_usage_check_interval) _memory_usage_recovery_threshold = float(os.environ.get('RC_GUNICORN_MEMORY_USAGE_RECOVERY_THRESHOLD', '') or _memory_usage_recovery_threshold) return MemoryCheckConfig(_memory_max_usage, _memory_usage_check_interval, _memory_usage_recovery_threshold) def _time_with_offset(check_interval): return time.time() - random.randint(0, check_interval/2.0) def pre_fork(server, worker): pass def post_fork(server, worker): memory_conf = get_memory_usage_params() _memory_max_usage = memory_conf.max_usage _memory_usage_check_interval = memory_conf.check_interval _memory_usage_recovery_threshold = memory_conf.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("pid=[%-10s] WORKER spawned with max memory set at %s", worker.pid, _format_data_size(_memory_max_usage)) else: server.log.info("pid=[%-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("pid=[%-10s] worker received INT or QUIT signal", worker.pid) # get traceback info, on worker crash def get_thread_id(t_id): id2name = dict([(th.ident, th.name) for th in threading.enumerate()]) return id2name.get(t_id, "unknown_thread_id") code = [] for thread_id, stack in sys._current_frames().items(): code.append( "\n# Thread: %s(%d)" % (get_thread_id(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("pid=[%-10s] worker received SIGABRT signal", worker.pid) def worker_exit(server, worker): worker.log.info("pid=[%-10s] worker exit", worker.pid) def child_exit(server, worker): worker.log.info("pid=[%-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' def _filters(x): return _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 - int(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