Current File : //proc/self/root/proc/self/root/opt/alt/python35/lib64/python3.5/site-packages/psutil/__init__.py
# -*- coding: utf-8 -*-
# Copyright (c) 2009, Giampaolo Rodola'. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""psutil is a cross-platform library for retrieving information on
running processes and system utilization (CPU, memory, disks, network,
sensors) in Python. Supported platforms:
- Linux
- Windows
- macOS
- FreeBSD
- OpenBSD
- NetBSD
- Sun Solaris
- AIX
Works with Python versions from 2.6 to 3.X.
"""
from __future__ import division
import collections
import contextlib
import datetime
import errno
import functools
import os
import signal
import subprocess
import sys
import time
import traceback
try:
import pwd
except ImportError:
pwd = None
from . import _common
from ._common import deprecated_method
from ._common import memoize
from ._common import memoize_when_activated
from ._common import wrap_numbers as _wrap_numbers
from ._compat import long
from ._compat import PY3 as _PY3
from ._common import STATUS_DEAD
from ._common import STATUS_DISK_SLEEP
from ._common import STATUS_IDLE
from ._common import STATUS_LOCKED
from ._common import STATUS_PARKED
from ._common import STATUS_RUNNING
from ._common import STATUS_SLEEPING
from ._common import STATUS_STOPPED
from ._common import STATUS_TRACING_STOP
from ._common import STATUS_WAITING
from ._common import STATUS_WAKING
from ._common import STATUS_ZOMBIE
from ._common import CONN_CLOSE
from ._common import CONN_CLOSE_WAIT
from ._common import CONN_CLOSING
from ._common import CONN_ESTABLISHED
from ._common import CONN_FIN_WAIT1
from ._common import CONN_FIN_WAIT2
from ._common import CONN_LAST_ACK
from ._common import CONN_LISTEN
from ._common import CONN_NONE
from ._common import CONN_SYN_RECV
from ._common import CONN_SYN_SENT
from ._common import CONN_TIME_WAIT
from ._common import NIC_DUPLEX_FULL
from ._common import NIC_DUPLEX_HALF
from ._common import NIC_DUPLEX_UNKNOWN
from ._common import AIX
from ._common import BSD
from ._common import FREEBSD # NOQA
from ._common import LINUX
from ._common import MACOS
from ._common import NETBSD # NOQA
from ._common import OPENBSD # NOQA
from ._common import OSX # deprecated alias
from ._common import POSIX # NOQA
from ._common import SUNOS
from ._common import WINDOWS
from ._exceptions import AccessDenied
from ._exceptions import Error
from ._exceptions import NoSuchProcess
from ._exceptions import TimeoutExpired
from ._exceptions import ZombieProcess
if LINUX:
# This is public API and it will be retrieved from _pslinux.py
# via sys.modules.
PROCFS_PATH = "/proc"
from . import _pslinux as _psplatform
from ._pslinux import IOPRIO_CLASS_BE # NOQA
from ._pslinux import IOPRIO_CLASS_IDLE # NOQA
from ._pslinux import IOPRIO_CLASS_NONE # NOQA
from ._pslinux import IOPRIO_CLASS_RT # NOQA
# Linux >= 2.6.36
if _psplatform.HAS_PRLIMIT:
from ._psutil_linux import RLIM_INFINITY # NOQA
from ._psutil_linux import RLIMIT_AS # NOQA
from ._psutil_linux import RLIMIT_CORE # NOQA
from ._psutil_linux import RLIMIT_CPU # NOQA
from ._psutil_linux import RLIMIT_DATA # NOQA
from ._psutil_linux import RLIMIT_FSIZE # NOQA
from ._psutil_linux import RLIMIT_LOCKS # NOQA
from ._psutil_linux import RLIMIT_MEMLOCK # NOQA
from ._psutil_linux import RLIMIT_NOFILE # NOQA
from ._psutil_linux import RLIMIT_NPROC # NOQA
from ._psutil_linux import RLIMIT_RSS # NOQA
from ._psutil_linux import RLIMIT_STACK # NOQA
# Kinda ugly but considerably faster than using hasattr() and
# setattr() against the module object (we are at import time:
# speed matters).
from . import _psutil_linux
try:
RLIMIT_MSGQUEUE = _psutil_linux.RLIMIT_MSGQUEUE
except AttributeError:
pass
try:
RLIMIT_NICE = _psutil_linux.RLIMIT_NICE
except AttributeError:
pass
try:
RLIMIT_RTPRIO = _psutil_linux.RLIMIT_RTPRIO
except AttributeError:
pass
try:
RLIMIT_RTTIME = _psutil_linux.RLIMIT_RTTIME
except AttributeError:
pass
try:
RLIMIT_SIGPENDING = _psutil_linux.RLIMIT_SIGPENDING
except AttributeError:
pass
elif WINDOWS:
from . import _pswindows as _psplatform
from ._psutil_windows import ABOVE_NORMAL_PRIORITY_CLASS # NOQA
from ._psutil_windows import BELOW_NORMAL_PRIORITY_CLASS # NOQA
from ._psutil_windows import HIGH_PRIORITY_CLASS # NOQA
from ._psutil_windows import IDLE_PRIORITY_CLASS # NOQA
from ._psutil_windows import NORMAL_PRIORITY_CLASS # NOQA
from ._psutil_windows import REALTIME_PRIORITY_CLASS # NOQA
from ._pswindows import CONN_DELETE_TCB # NOQA
elif MACOS:
from . import _psosx as _psplatform
elif BSD:
from . import _psbsd as _psplatform
elif SUNOS:
from . import _pssunos as _psplatform
from ._pssunos import CONN_BOUND # NOQA
from ._pssunos import CONN_IDLE # NOQA
# This is public writable API which is read from _pslinux.py and
# _pssunos.py via sys.modules.
PROCFS_PATH = "/proc"
elif AIX:
from . import _psaix as _psplatform
# This is public API and it will be retrieved from _pslinux.py
# via sys.modules.
PROCFS_PATH = "/proc"
else: # pragma: no cover
raise NotImplementedError('platform %s is not supported' % sys.platform)
__all__ = [
# exceptions
"Error", "NoSuchProcess", "ZombieProcess", "AccessDenied",
"TimeoutExpired",
# constants
"version_info", "__version__",
"STATUS_RUNNING", "STATUS_IDLE", "STATUS_SLEEPING", "STATUS_DISK_SLEEP",
"STATUS_STOPPED", "STATUS_TRACING_STOP", "STATUS_ZOMBIE", "STATUS_DEAD",
"STATUS_WAKING", "STATUS_LOCKED", "STATUS_WAITING", "STATUS_LOCKED",
"STATUS_PARKED",
"CONN_ESTABLISHED", "CONN_SYN_SENT", "CONN_SYN_RECV", "CONN_FIN_WAIT1",
"CONN_FIN_WAIT2", "CONN_TIME_WAIT", "CONN_CLOSE", "CONN_CLOSE_WAIT",
"CONN_LAST_ACK", "CONN_LISTEN", "CONN_CLOSING", "CONN_NONE",
"AF_LINK",
"NIC_DUPLEX_FULL", "NIC_DUPLEX_HALF", "NIC_DUPLEX_UNKNOWN",
"POWER_TIME_UNKNOWN", "POWER_TIME_UNLIMITED",
"BSD", "FREEBSD", "LINUX", "NETBSD", "OPENBSD", "MACOS", "OSX", "POSIX",
"SUNOS", "WINDOWS", "AIX",
# classes
"Process", "Popen",
# functions
"pid_exists", "pids", "process_iter", "wait_procs", # proc
"virtual_memory", "swap_memory", # memory
"cpu_times", "cpu_percent", "cpu_times_percent", "cpu_count", # cpu
"cpu_stats", # "cpu_freq",
"net_io_counters", "net_connections", "net_if_addrs", # network
"net_if_stats",
"disk_io_counters", "disk_partitions", "disk_usage", # disk
# "sensors_temperatures", "sensors_battery", "sensors_fans" # sensors
"users", "boot_time", # others
]
__all__.extend(_psplatform.__extra__all__)
__author__ = "Giampaolo Rodola'"
__version__ = "5.4.7"
version_info = tuple([int(num) for num in __version__.split('.')])
AF_LINK = _psplatform.AF_LINK
POWER_TIME_UNLIMITED = _common.POWER_TIME_UNLIMITED
POWER_TIME_UNKNOWN = _common.POWER_TIME_UNKNOWN
_TOTAL_PHYMEM = None
_timer = getattr(time, 'monotonic', time.time)
# Sanity check in case the user messed up with psutil installation
# or did something weird with sys.path. In this case we might end
# up importing a python module using a C extension module which
# was compiled for a different version of psutil.
# We want to prevent that by failing sooner rather than later.
# See: https://github.com/giampaolo/psutil/issues/564
if (int(__version__.replace('.', '')) !=
getattr(_psplatform.cext, 'version', None)):
msg = "version conflict: %r C extension module was built for another " \
"version of psutil" % getattr(_psplatform.cext, "__file__")
if hasattr(_psplatform.cext, 'version'):
msg += " (%s instead of %s)" % (
'.'.join([x for x in str(_psplatform.cext.version)]), __version__)
else:
msg += " (different than %s)" % __version__
msg += "; you may try to 'pip uninstall psutil', manually remove %s" % (
getattr(_psplatform.cext, "__file__",
"the existing psutil install directory"))
msg += " or clean the virtual env somehow, then reinstall"
raise ImportError(msg)
# =====================================================================
# --- Utils
# =====================================================================
if hasattr(_psplatform, 'ppid_map'):
# Faster version (Windows and Linux).
_ppid_map = _psplatform.ppid_map
else:
def _ppid_map():
"""Return a {pid: ppid, ...} dict for all running processes in
one shot. Used to speed up Process.children().
"""
ret = {}
for pid in pids():
try:
ret[pid] = _psplatform.Process(pid).ppid()
except (NoSuchProcess, ZombieProcess):
pass
return ret
def _assert_pid_not_reused(fun):
"""Decorator which raises NoSuchProcess in case a process is no
longer running or its PID has been reused.
"""
@functools.wraps(fun)
def wrapper(self, *args, **kwargs):
if not self.is_running():
raise NoSuchProcess(self.pid, self._name)
return fun(self, *args, **kwargs)
return wrapper
def _pprint_secs(secs):
"""Format seconds in a human readable form."""
now = time.time()
secs_ago = int(now - secs)
if secs_ago < 60 * 60 * 24:
fmt = "%H:%M:%S"
else:
fmt = "%Y-%m-%d %H:%M:%S"
return datetime.datetime.fromtimestamp(secs).strftime(fmt)
# =====================================================================
# --- Process class
# =====================================================================
class Process(object):
"""Represents an OS process with the given PID.
If PID is omitted current process PID (os.getpid()) is used.
Raise NoSuchProcess if PID does not exist.
Note that most of the methods of this class do not make sure
the PID of the process being queried has been reused over time.
That means you might end up retrieving an information referring
to another process in case the original one this instance
refers to is gone in the meantime.
The only exceptions for which process identity is pre-emptively
checked and guaranteed are:
- parent()
- children()
- nice() (set)
- ionice() (set)
- rlimit() (set)
- cpu_affinity (set)
- suspend()
- resume()
- send_signal()
- terminate()
- kill()
To prevent this problem for all other methods you can:
- use is_running() before querying the process
- if you're continuously iterating over a set of Process
instances use process_iter() which pre-emptively checks
process identity for every yielded instance
"""
def __init__(self, pid=None):
self._init(pid)
def _init(self, pid, _ignore_nsp=False):
if pid is None:
pid = os.getpid()
else:
if not _PY3 and not isinstance(pid, (int, long)):
raise TypeError('pid must be an integer (got %r)' % pid)
if pid < 0:
raise ValueError('pid must be a positive integer (got %s)'
% pid)
self._pid = pid
self._name = None
self._exe = None
self._create_time = None
self._gone = False
self._hash = None
self._oneshot_inctx = False
# used for caching on Windows only (on POSIX ppid may change)
self._ppid = None
# platform-specific modules define an _psplatform.Process
# implementation class
self._proc = _psplatform.Process(pid)
self._last_sys_cpu_times = None
self._last_proc_cpu_times = None
# cache creation time for later use in is_running() method
try:
self.create_time()
except AccessDenied:
# We should never get here as AFAIK we're able to get
# process creation time on all platforms even as a
# limited user.
pass
except ZombieProcess:
# Zombies can still be queried by this class (although
# not always) and pids() return them so just go on.
pass
except NoSuchProcess:
if not _ignore_nsp:
msg = 'no process found with pid %s' % pid
raise NoSuchProcess(pid, None, msg)
else:
self._gone = True
# This pair is supposed to indentify a Process instance
# univocally over time (the PID alone is not enough as
# it might refer to a process whose PID has been reused).
# This will be used later in __eq__() and is_running().
self._ident = (self.pid, self._create_time)
def __str__(self):
try:
info = collections.OrderedDict()
except AttributeError:
info = {} # Python 2.6
info["pid"] = self.pid
try:
info["name"] = self.name()
if self._create_time:
info['started'] = _pprint_secs(self._create_time)
except ZombieProcess:
info["status"] = "zombie"
except NoSuchProcess:
info["status"] = "terminated"
except AccessDenied:
pass
return "%s.%s(%s)" % (
self.__class__.__module__,
self.__class__.__name__,
", ".join(["%s=%r" % (k, v) for k, v in info.items()]))
__repr__ = __str__
def __eq__(self, other):
# Test for equality with another Process object based
# on PID and creation time.
if not isinstance(other, Process):
return NotImplemented
return self._ident == other._ident
def __ne__(self, other):
return not self == other
def __hash__(self):
if self._hash is None:
self._hash = hash(self._ident)
return self._hash
@property
def pid(self):
"""The process PID."""
return self._pid
# --- utility methods
@contextlib.contextmanager
def oneshot(self):
"""Utility context manager which considerably speeds up the
retrieval of multiple process information at the same time.
Internally different process info (e.g. name, ppid, uids,
gids, ...) may be fetched by using the same routine, but
only one information is returned and the others are discarded.
When using this context manager the internal routine is
executed once (in the example below on name()) and the
other info are cached.
The cache is cleared when exiting the context manager block.
The advice is to use this every time you retrieve more than
one information about the process. If you're lucky, you'll
get a hell of a speedup.
>>> import psutil
>>> p = psutil.Process()
>>> with p.oneshot():
... p.name() # collect multiple info
... p.cpu_times() # return cached value
... p.cpu_percent() # return cached value
... p.create_time() # return cached value
...
>>>
"""
if self._oneshot_inctx:
# NOOP: this covers the use case where the user enters the
# context twice. Since as_dict() internally uses oneshot()
# I expect that the code below will be a pretty common
# "mistake" that the user will make, so let's guard
# against that:
#
# >>> with p.oneshot():
# ... p.as_dict()
# ...
yield
else:
self._oneshot_inctx = True
try:
# cached in case cpu_percent() is used
self.cpu_times.cache_activate()
# cached in case memory_percent() is used
self.memory_info.cache_activate()
# cached in case parent() is used
self.ppid.cache_activate()
# cached in case username() is used
if POSIX:
self.uids.cache_activate()
# specific implementation cache
self._proc.oneshot_enter()
yield
finally:
self.cpu_times.cache_deactivate()
self.memory_info.cache_deactivate()
self.ppid.cache_deactivate()
if POSIX:
self.uids.cache_deactivate()
self._proc.oneshot_exit()
self._oneshot_inctx = False
def as_dict(self, attrs=None, ad_value=None):
"""Utility method returning process information as a
hashable dictionary.
If *attrs* is specified it must be a list of strings
reflecting available Process class' attribute names
(e.g. ['cpu_times', 'name']) else all public (read
only) attributes are assumed.
*ad_value* is the value which gets assigned in case
AccessDenied or ZombieProcess exception is raised when
retrieving that particular process information.
"""
valid_names = _as_dict_attrnames
if attrs is not None:
if not isinstance(attrs, (list, tuple, set, frozenset)):
raise TypeError("invalid attrs type %s" % type(attrs))
attrs = set(attrs)
invalid_names = attrs - valid_names
if invalid_names:
raise ValueError("invalid attr name%s %s" % (
"s" if len(invalid_names) > 1 else "",
", ".join(map(repr, invalid_names))))
retdict = dict()
ls = attrs or valid_names
with self.oneshot():
for name in ls:
try:
if name == 'pid':
ret = self.pid
else:
meth = getattr(self, name)
ret = meth()
except (AccessDenied, ZombieProcess):
ret = ad_value
except NotImplementedError:
# in case of not implemented functionality (may happen
# on old or exotic systems) we want to crash only if
# the user explicitly asked for that particular attr
if attrs:
raise
continue
retdict[name] = ret
return retdict
def parent(self):
"""Return the parent process as a Process object pre-emptively
checking whether PID has been reused.
If no parent is known return None.
"""
ppid = self.ppid()
if ppid is not None:
ctime = self.create_time()
try:
parent = Process(ppid)
if parent.create_time() <= ctime:
return parent
# ...else ppid has been reused by another process
except NoSuchProcess:
pass
def is_running(self):
"""Return whether this process is running.
It also checks if PID has been reused by another process in
which case return False.
"""
if self._gone:
return False
try:
# Checking if PID is alive is not enough as the PID might
# have been reused by another process: we also want to
# verify process identity.
# Process identity / uniqueness over time is guaranteed by
# (PID + creation time) and that is verified in __eq__.
return self == Process(self.pid)
except ZombieProcess:
# We should never get here as it's already handled in
# Process.__init__; here just for extra safety.
return True
except NoSuchProcess:
self._gone = True
return False
# --- actual API
@memoize_when_activated
def ppid(self):
"""The process parent PID.
On Windows the return value is cached after first call.
"""
# On POSIX we don't want to cache the ppid as it may unexpectedly
# change to 1 (init) in case this process turns into a zombie:
# https://github.com/giampaolo/psutil/issues/321
# http://stackoverflow.com/questions/356722/
# XXX should we check creation time here rather than in
# Process.parent()?
if POSIX:
return self._proc.ppid()
else: # pragma: no cover
self._ppid = self._ppid or self._proc.ppid()
return self._ppid
def name(self):
"""The process name. The return value is cached after first call."""
# Process name is only cached on Windows as on POSIX it may
# change, see:
# https://github.com/giampaolo/psutil/issues/692
if WINDOWS and self._name is not None:
return self._name
name = self._proc.name()
if POSIX and len(name) >= 15:
# On UNIX the name gets truncated to the first 15 characters.
# If it matches the first part of the cmdline we return that
# one instead because it's usually more explicative.
# Examples are "gnome-keyring-d" vs. "gnome-keyring-daemon".
try:
cmdline = self.cmdline()
except AccessDenied:
pass
else:
if cmdline:
extended_name = os.path.basename(cmdline[0])
if extended_name.startswith(name):
name = extended_name
self._name = name
self._proc._name = name
return name
def exe(self):
"""The process executable as an absolute path.
May also be an empty string.
The return value is cached after first call.
"""
def guess_it(fallback):
# try to guess exe from cmdline[0] in absence of a native
# exe representation
cmdline = self.cmdline()
if cmdline and hasattr(os, 'access') and hasattr(os, 'X_OK'):
exe = cmdline[0] # the possible exe
# Attempt to guess only in case of an absolute path.
# It is not safe otherwise as the process might have
# changed cwd.
if (os.path.isabs(exe) and
os.path.isfile(exe) and
os.access(exe, os.X_OK)):
return exe
if isinstance(fallback, AccessDenied):
raise fallback
return fallback
if self._exe is None:
try:
exe = self._proc.exe()
except AccessDenied as err:
return guess_it(fallback=err)
else:
if not exe:
# underlying implementation can legitimately return an
# empty string; if that's the case we don't want to
# raise AD while guessing from the cmdline
try:
exe = guess_it(fallback=exe)
except AccessDenied:
pass
self._exe = exe
return self._exe
def cmdline(self):
"""The command line this process has been called with."""
return self._proc.cmdline()
def status(self):
"""The process current status as a STATUS_* constant."""
try:
return self._proc.status()
except ZombieProcess:
return STATUS_ZOMBIE
def username(self):
"""The name of the user that owns the process.
On UNIX this is calculated by using *real* process uid.
"""
if POSIX:
if pwd is None:
# might happen if python was installed from sources
raise ImportError(
"requires pwd module shipped with standard python")
real_uid = self.uids().real
try:
return pwd.getpwuid(real_uid).pw_name
except KeyError:
# the uid can't be resolved by the system
return str(real_uid)
else:
return self._proc.username()
def create_time(self):
"""The process creation time as a floating point number
expressed in seconds since the epoch, in UTC.
The return value is cached after first call.
"""
if self._create_time is None:
self._create_time = self._proc.create_time()
return self._create_time
def cwd(self):
"""Process current working directory as an absolute path."""
return self._proc.cwd()
def nice(self, value=None):
"""Get or set process niceness (priority)."""
if value is None:
return self._proc.nice_get()
else:
if not self.is_running():
raise NoSuchProcess(self.pid, self._name)
self._proc.nice_set(value)
if POSIX:
@memoize_when_activated
def uids(self):
"""Return process UIDs as a (real, effective, saved)
namedtuple.
"""
return self._proc.uids()
def gids(self):
"""Return process GIDs as a (real, effective, saved)
namedtuple.
"""
return self._proc.gids()
def terminal(self):
"""The terminal associated with this process, if any,
else None.
"""
return self._proc.terminal()
def num_fds(self):
"""Return the number of file descriptors opened by this
process (POSIX only).
"""
return self._proc.num_fds()
# Linux, BSD, AIX and Windows only
if hasattr(_psplatform.Process, "io_counters"):
def io_counters(self):
"""Return process I/O statistics as a
(read_count, write_count, read_bytes, write_bytes)
namedtuple.
Those are the number of read/write calls performed and the
amount of bytes read and written by the process.
"""
return self._proc.io_counters()
# Linux and Windows >= Vista only
if hasattr(_psplatform.Process, "ionice_get"):
def ionice(self, ioclass=None, value=None):
"""Get or set process I/O niceness (priority).
On Linux *ioclass* is one of the IOPRIO_CLASS_* constants.
*value* is a number which goes from 0 to 7. The higher the
value, the lower the I/O priority of the process.
On Windows only *ioclass* is used and it can be set to 2
(normal), 1 (low) or 0 (very low).
Available on Linux and Windows > Vista only.
"""
if ioclass is None:
if value is not None:
raise ValueError("'ioclass' argument must be specified")
return self._proc.ionice_get()
else:
return self._proc.ionice_set(ioclass, value)
# Linux only
if hasattr(_psplatform.Process, "rlimit"):
def rlimit(self, resource, limits=None):
"""Get or set process resource limits as a (soft, hard)
tuple.
*resource* is one of the RLIMIT_* constants.
*limits* is supposed to be a (soft, hard) tuple.
See "man prlimit" for further info.
Available on Linux only.
"""
if limits is None:
return self._proc.rlimit(resource)
else:
return self._proc.rlimit(resource, limits)
# Windows, Linux and FreeBSD only
if hasattr(_psplatform.Process, "cpu_affinity_get"):
def cpu_affinity(self, cpus=None):
"""Get or set process CPU affinity.
If specified, *cpus* must be a list of CPUs for which you
want to set the affinity (e.g. [0, 1]).
If an empty list is passed, all egible CPUs are assumed
(and set).
(Windows, Linux and BSD only).
"""
# Automatically remove duplicates both on get and
# set (for get it's not really necessary, it's
# just for extra safety).
if cpus is None:
return list(set(self._proc.cpu_affinity_get()))
else:
if not cpus:
if hasattr(self._proc, "_get_eligible_cpus"):
cpus = self._proc._get_eligible_cpus()
else:
cpus = tuple(range(len(cpu_times(percpu=True))))
self._proc.cpu_affinity_set(list(set(cpus)))
# Linux, FreeBSD, SunOS
if hasattr(_psplatform.Process, "cpu_num"):
def cpu_num(self):
"""Return what CPU this process is currently running on.
The returned number should be <= psutil.cpu_count()
and <= len(psutil.cpu_percent(percpu=True)).
It may be used in conjunction with
psutil.cpu_percent(percpu=True) to observe the system
workload distributed across CPUs.
"""
return self._proc.cpu_num()
# Linux, macOS and Windows only
if hasattr(_psplatform.Process, "environ"):
def environ(self):
"""The environment variables of the process as a dict. Note: this
might not reflect changes made after the process started. """
return self._proc.environ()
if WINDOWS:
def num_handles(self):
"""Return the number of handles opened by this process
(Windows only).
"""
return self._proc.num_handles()
def num_ctx_switches(self):
"""Return the number of voluntary and involuntary context
switches performed by this process.
"""
return self._proc.num_ctx_switches()
def num_threads(self):
"""Return the number of threads used by this process."""
return self._proc.num_threads()
if hasattr(_psplatform.Process, "threads"):
def threads(self):
"""Return threads opened by process as a list of
(id, user_time, system_time) namedtuples representing
thread id and thread CPU times (user/system).
On OpenBSD this method requires root access.
"""
return self._proc.threads()
@_assert_pid_not_reused
def children(self, recursive=False):
"""Return the children of this process as a list of Process
instances, pre-emptively checking whether PID has been reused.
If *recursive* is True return all the parent descendants.
Example (A == this process):
A ─┐
│
├─ B (child) ─┐
│ └─ X (grandchild) ─┐
│ └─ Y (great grandchild)
├─ C (child)
└─ D (child)
>>> import psutil
>>> p = psutil.Process()
>>> p.children()
B, C, D
>>> p.children(recursive=True)
B, X, Y, C, D
Note that in the example above if process X disappears
process Y won't be listed as the reference to process A
is lost.
"""
ppid_map = _ppid_map()
ret = []
if not recursive:
for pid, ppid in ppid_map.items():
if ppid == self.pid:
try:
child = Process(pid)
# if child happens to be older than its parent
# (self) it means child's PID has been reused
if self.create_time() <= child.create_time():
ret.append(child)
except (NoSuchProcess, ZombieProcess):
pass
else:
# Construct a {pid: [child pids]} dict
reverse_ppid_map = collections.defaultdict(list)
for pid, ppid in ppid_map.items():
reverse_ppid_map[ppid].append(pid)
# Recursively traverse that dict, starting from self.pid,
# such that we only call Process() on actual children
seen = set()
stack = [self.pid]
while stack:
pid = stack.pop()
if pid in seen:
# Since pids can be reused while the ppid_map is
# constructed, there may be rare instances where
# there's a cycle in the recorded process "tree".
continue
seen.add(pid)
for child_pid in reverse_ppid_map[pid]:
try:
child = Process(child_pid)
# if child happens to be older than its parent
# (self) it means child's PID has been reused
intime = self.create_time() <= child.create_time()
if intime:
ret.append(child)
stack.append(child_pid)
except (NoSuchProcess, ZombieProcess):
pass
return ret
def cpu_percent(self, interval=None):
"""Return a float representing the current process CPU
utilization as a percentage.
When *interval* is 0.0 or None (default) compares process times
to system CPU times elapsed since last call, returning
immediately (non-blocking). That means that the first time
this is called it will return a meaningful 0.0 value.
When *interval* is > 0.0 compares process times to system CPU
times elapsed before and after the interval (blocking).
In this case is recommended for accuracy that this function
be called with at least 0.1 seconds between calls.
A value > 100.0 can be returned in case of processes running
multiple threads on different CPU cores.
The returned value is explicitly NOT split evenly between
all available logical CPUs. This means that a busy loop process
running on a system with 2 logical CPUs will be reported as
having 100% CPU utilization instead of 50%.
Examples:
>>> import psutil
>>> p = psutil.Process(os.getpid())
>>> # blocking
>>> p.cpu_percent(interval=1)
2.0
>>> # non-blocking (percentage since last call)
>>> p.cpu_percent(interval=None)
2.9
>>>
"""
blocking = interval is not None and interval > 0.0
if interval is not None and interval < 0:
raise ValueError("interval is not positive (got %r)" % interval)
num_cpus = cpu_count() or 1
def timer():
return _timer() * num_cpus
if blocking:
st1 = timer()
pt1 = self._proc.cpu_times()
time.sleep(interval)
st2 = timer()
pt2 = self._proc.cpu_times()
else:
st1 = self._last_sys_cpu_times
pt1 = self._last_proc_cpu_times
st2 = timer()
pt2 = self._proc.cpu_times()
if st1 is None or pt1 is None:
self._last_sys_cpu_times = st2
self._last_proc_cpu_times = pt2
return 0.0
delta_proc = (pt2.user - pt1.user) + (pt2.system - pt1.system)
delta_time = st2 - st1
# reset values for next call in case of interval == None
self._last_sys_cpu_times = st2
self._last_proc_cpu_times = pt2
try:
# This is the utilization split evenly between all CPUs.
# E.g. a busy loop process on a 2-CPU-cores system at this
# point is reported as 50% instead of 100%.
overall_cpus_percent = ((delta_proc / delta_time) * 100)
except ZeroDivisionError:
# interval was too low
return 0.0
else:
# Note 1:
# in order to emulate "top" we multiply the value for the num
# of CPU cores. This way the busy process will be reported as
# having 100% (or more) usage.
#
# Note 2:
# taskmgr.exe on Windows differs in that it will show 50%
# instead.
#
# Note 3:
# a percentage > 100 is legitimate as it can result from a
# process with multiple threads running on different CPU
# cores (top does the same), see:
# http://stackoverflow.com/questions/1032357
# https://github.com/giampaolo/psutil/issues/474
single_cpu_percent = overall_cpus_percent * num_cpus
return round(single_cpu_percent, 1)
@memoize_when_activated
def cpu_times(self):
"""Return a (user, system, children_user, children_system)
namedtuple representing the accumulated process time, in
seconds.
This is similar to os.times() but per-process.
On macOS and Windows children_user and children_system are
always set to 0.
"""
return self._proc.cpu_times()
@memoize_when_activated
def memory_info(self):
"""Return a namedtuple with variable fields depending on the
platform, representing memory information about the process.
The "portable" fields available on all plaforms are `rss` and `vms`.
All numbers are expressed in bytes.
"""
return self._proc.memory_info()
@deprecated_method(replacement="memory_info")
def memory_info_ex(self):
return self.memory_info()
def memory_full_info(self):
"""This method returns the same information as memory_info(),
plus, on some platform (Linux, macOS, Windows), also provides
additional metrics (USS, PSS and swap).
The additional metrics provide a better representation of actual
process memory usage.
Namely USS is the memory which is unique to a process and which
would be freed if the process was terminated right now.
It does so by passing through the whole process address.
As such it usually requires higher user privileges than
memory_info() and is considerably slower.
"""
return self._proc.memory_full_info()
def memory_percent(self, memtype="rss"):
"""Compare process memory to total physical system memory and
calculate process memory utilization as a percentage.
*memtype* argument is a string that dictates what type of
process memory you want to compare against (defaults to "rss").
The list of available strings can be obtained like this:
>>> psutil.Process().memory_info()._fields
('rss', 'vms', 'shared', 'text', 'lib', 'data', 'dirty', 'uss', 'pss')
"""
valid_types = list(_psplatform.pfullmem._fields)
if memtype not in valid_types:
raise ValueError("invalid memtype %r; valid types are %r" % (
memtype, tuple(valid_types)))
fun = self.memory_info if memtype in _psplatform.pmem._fields else \
self.memory_full_info
metrics = fun()
value = getattr(metrics, memtype)
# use cached value if available
total_phymem = _TOTAL_PHYMEM or virtual_memory().total
if not total_phymem > 0:
# we should never get here
raise ValueError(
"can't calculate process memory percent because "
"total physical system memory is not positive (%r)"
% total_phymem)
return (value / float(total_phymem)) * 100
if hasattr(_psplatform.Process, "memory_maps"):
# Available everywhere except OpenBSD and NetBSD.
def memory_maps(self, grouped=True):
"""Return process' mapped memory regions as a list of namedtuples
whose fields are variable depending on the platform.
If *grouped* is True the mapped regions with the same 'path'
are grouped together and the different memory fields are summed.
If *grouped* is False every mapped region is shown as a single
entity and the namedtuple will also include the mapped region's
address space ('addr') and permission set ('perms').
"""
it = self._proc.memory_maps()
if grouped:
d = {}
for tupl in it:
path = tupl[2]
nums = tupl[3:]
try:
d[path] = map(lambda x, y: x + y, d[path], nums)
except KeyError:
d[path] = nums
nt = _psplatform.pmmap_grouped
return [nt(path, *d[path]) for path in d] # NOQA
else:
nt = _psplatform.pmmap_ext
return [nt(*x) for x in it]
def open_files(self):
"""Return files opened by process as a list of
(path, fd) namedtuples including the absolute file name
and file descriptor number.
"""
return self._proc.open_files()
def connections(self, kind='inet'):
"""Return socket connections opened by process as a list of
(fd, family, type, laddr, raddr, status) namedtuples.
The *kind* parameter filters for connections that match the
following criteria:
+------------+----------------------------------------------------+
| Kind Value | Connections using |
+------------+----------------------------------------------------+
| inet | IPv4 and IPv6 |
| inet4 | IPv4 |
| inet6 | IPv6 |
| tcp | TCP |
| tcp4 | TCP over IPv4 |
| tcp6 | TCP over IPv6 |
| udp | UDP |
| udp4 | UDP over IPv4 |
| udp6 | UDP over IPv6 |
| unix | UNIX socket (both UDP and TCP protocols) |
| all | the sum of all the possible families and protocols |
+------------+----------------------------------------------------+
"""
return self._proc.connections(kind)
# --- signals
if POSIX:
def _send_signal(self, sig):
assert not self.pid < 0, self.pid
if self.pid == 0:
# see "man 2 kill"
raise ValueError(
"preventing sending signal to process with PID 0 as it "
"would affect every process in the process group of the "
"calling process (os.getpid()) instead of PID 0")
try:
os.kill(self.pid, sig)
except OSError as err:
if err.errno == errno.ESRCH:
if OPENBSD and pid_exists(self.pid):
# We do this because os.kill() lies in case of
# zombie processes.
raise ZombieProcess(self.pid, self._name, self._ppid)
else:
self._gone = True
raise NoSuchProcess(self.pid, self._name)
if err.errno in (errno.EPERM, errno.EACCES):
raise AccessDenied(self.pid, self._name)
raise
@_assert_pid_not_reused
def send_signal(self, sig):
"""Send a signal *sig* to process pre-emptively checking
whether PID has been reused (see signal module constants) .
On Windows only SIGTERM is valid and is treated as an alias
for kill().
"""
if POSIX:
self._send_signal(sig)
else: # pragma: no cover
if sig == signal.SIGTERM:
self._proc.kill()
# py >= 2.7
elif sig in (getattr(signal, "CTRL_C_EVENT", object()),
getattr(signal, "CTRL_BREAK_EVENT", object())):
self._proc.send_signal(sig)
else:
raise ValueError(
"only SIGTERM, CTRL_C_EVENT and CTRL_BREAK_EVENT signals "
"are supported on Windows")
@_assert_pid_not_reused
def suspend(self):
"""Suspend process execution with SIGSTOP pre-emptively checking
whether PID has been reused.
On Windows this has the effect ot suspending all process threads.
"""
if POSIX:
self._send_signal(signal.SIGSTOP)
else: # pragma: no cover
self._proc.suspend()
@_assert_pid_not_reused
def resume(self):
"""Resume process execution with SIGCONT pre-emptively checking
whether PID has been reused.
On Windows this has the effect of resuming all process threads.
"""
if POSIX:
self._send_signal(signal.SIGCONT)
else: # pragma: no cover
self._proc.resume()
@_assert_pid_not_reused
def terminate(self):
"""Terminate the process with SIGTERM pre-emptively checking
whether PID has been reused.
On Windows this is an alias for kill().
"""
if POSIX:
self._send_signal(signal.SIGTERM)
else: # pragma: no cover
self._proc.kill()
@_assert_pid_not_reused
def kill(self):
"""Kill the current process with SIGKILL pre-emptively checking
whether PID has been reused.
"""
if POSIX:
self._send_signal(signal.SIGKILL)
else: # pragma: no cover
self._proc.kill()
def wait(self, timeout=None):
"""Wait for process to terminate and, if process is a children
of os.getpid(), also return its exit code, else None.
If the process is already terminated immediately return None
instead of raising NoSuchProcess.
If *timeout* (in seconds) is specified and process is still
alive raise TimeoutExpired.
To wait for multiple Process(es) use psutil.wait_procs().
"""
if timeout is not None and not timeout >= 0:
raise ValueError("timeout must be a positive integer")
return self._proc.wait(timeout)
# =====================================================================
# --- Popen class
# =====================================================================
class Popen(Process):
"""A more convenient interface to stdlib subprocess.Popen class.
It starts a sub process and deals with it exactly as when using
subprocess.Popen class but in addition also provides all the
properties and methods of psutil.Process class as a unified
interface:
>>> import psutil
>>> from subprocess import PIPE
>>> p = psutil.Popen(["python", "-c", "print 'hi'"], stdout=PIPE)
>>> p.name()
'python'
>>> p.uids()
user(real=1000, effective=1000, saved=1000)
>>> p.username()
'giampaolo'
>>> p.communicate()
('hi\n', None)
>>> p.terminate()
>>> p.wait(timeout=2)
0
>>>
For method names common to both classes such as kill(), terminate()
and wait(), psutil.Process implementation takes precedence.
Unlike subprocess.Popen this class pre-emptively checks whether PID
has been reused on send_signal(), terminate() and kill() so that
you don't accidentally terminate another process, fixing
http://bugs.python.org/issue6973.
For a complete documentation refer to:
http://docs.python.org/library/subprocess.html
"""
def __init__(self, *args, **kwargs):
# Explicitly avoid to raise NoSuchProcess in case the process
# spawned by subprocess.Popen terminates too quickly, see:
# https://github.com/giampaolo/psutil/issues/193
self.__subproc = subprocess.Popen(*args, **kwargs)
self._init(self.__subproc.pid, _ignore_nsp=True)
def __dir__(self):
return sorted(set(dir(Popen) + dir(subprocess.Popen)))
def __enter__(self):
if hasattr(self.__subproc, '__enter__'):
self.__subproc.__enter__()
return self
def __exit__(self, *args, **kwargs):
if hasattr(self.__subproc, '__exit__'):
return self.__subproc.__exit__(*args, **kwargs)
else:
if self.stdout:
self.stdout.close()
if self.stderr:
self.stderr.close()
try:
# Flushing a BufferedWriter may raise an error.
if self.stdin:
self.stdin.close()
finally:
# Wait for the process to terminate, to avoid zombies.
self.wait()
def __getattribute__(self, name):
try:
return object.__getattribute__(self, name)
except AttributeError:
try:
return object.__getattribute__(self.__subproc, name)
except AttributeError:
raise AttributeError("%s instance has no attribute '%s'"
% (self.__class__.__name__, name))
def wait(self, timeout=None):
if self.__subproc.returncode is not None:
return self.__subproc.returncode
ret = super(Popen, self).wait(timeout)
self.__subproc.returncode = ret
return ret
# The valid attr names which can be processed by Process.as_dict().
_as_dict_attrnames = set(
[x for x in dir(Process) if not x.startswith('_') and x not in
['send_signal', 'suspend', 'resume', 'terminate', 'kill', 'wait',
'is_running', 'as_dict', 'parent', 'children', 'rlimit',
'memory_info_ex', 'oneshot']])
# =====================================================================
# --- system processes related functions
# =====================================================================
def pids():
"""Return a list of current running PIDs."""
return _psplatform.pids()
def pid_exists(pid):
"""Return True if given PID exists in the current process list.
This is faster than doing "pid in psutil.pids()" and
should be preferred.
"""
if pid < 0:
return False
elif pid == 0 and POSIX:
# On POSIX we use os.kill() to determine PID existence.
# According to "man 2 kill" PID 0 has a special meaning
# though: it refers to <<every process in the process
# group of the calling process>> and that is not we want
# to do here.
return pid in pids()
else:
return _psplatform.pid_exists(pid)
_pmap = {}
def process_iter(attrs=None, ad_value=None):
"""Return a generator yielding a Process instance for all
running processes.
Every new Process instance is only created once and then cached
into an internal table which is updated every time this is used.
Cached Process instances are checked for identity so that you're
safe in case a PID has been reused by another process, in which
case the cached instance is updated.
The sorting order in which processes are yielded is based on
their PIDs.
*attrs* and *ad_value* have the same meaning as in
Process.as_dict(). If *attrs* is specified as_dict() is called
and the resulting dict is stored as a 'info' attribute attached
to returned Process instance.
If *attrs* is an empty list it will retrieve all process info
(slow).
"""
def add(pid):
proc = Process(pid)
if attrs is not None:
proc.info = proc.as_dict(attrs=attrs, ad_value=ad_value)
_pmap[proc.pid] = proc
return proc
def remove(pid):
_pmap.pop(pid, None)
a = set(pids())
b = set(_pmap.keys())
new_pids = a - b
gone_pids = b - a
for pid in gone_pids:
remove(pid)
for pid, proc in sorted(list(_pmap.items()) +
list(dict.fromkeys(new_pids).items())):
try:
if proc is None: # new process
yield add(pid)
else:
# use is_running() to check whether PID has been reused by
# another process in which case yield a new Process instance
if proc.is_running():
if attrs is not None:
proc.info = proc.as_dict(
attrs=attrs, ad_value=ad_value)
yield proc
else:
yield add(pid)
except NoSuchProcess:
remove(pid)
except AccessDenied:
# Process creation time can't be determined hence there's
# no way to tell whether the pid of the cached process
# has been reused. Just return the cached version.
if proc is None and pid in _pmap:
try:
yield _pmap[pid]
except KeyError:
# If we get here it is likely that 2 threads were
# using process_iter().
pass
else:
raise
def wait_procs(procs, timeout=None, callback=None):
"""Convenience function which waits for a list of processes to
terminate.
Return a (gone, alive) tuple indicating which processes
are gone and which ones are still alive.
The gone ones will have a new *returncode* attribute indicating
process exit status (may be None).
*callback* is a function which gets called every time a process
terminates (a Process instance is passed as callback argument).
Function will return as soon as all processes terminate or when
*timeout* occurs.
Differently from Process.wait() it will not raise TimeoutExpired if
*timeout* occurs.
Typical use case is:
- send SIGTERM to a list of processes
- give them some time to terminate
- send SIGKILL to those ones which are still alive
Example:
>>> def on_terminate(proc):
... print("process {} terminated".format(proc))
...
>>> for p in procs:
... p.terminate()
...
>>> gone, alive = wait_procs(procs, timeout=3, callback=on_terminate)
>>> for p in alive:
... p.kill()
"""
def check_gone(proc, timeout):
try:
returncode = proc.wait(timeout=timeout)
except TimeoutExpired:
pass
else:
if returncode is not None or not proc.is_running():
proc.returncode = returncode
gone.add(proc)
if callback is not None:
callback(proc)
if timeout is not None and not timeout >= 0:
msg = "timeout must be a positive integer, got %s" % timeout
raise ValueError(msg)
gone = set()
alive = set(procs)
if callback is not None and not callable(callback):
raise TypeError("callback %r is not a callable" % callable)
if timeout is not None:
deadline = _timer() + timeout
while alive:
if timeout is not None and timeout <= 0:
break
for proc in alive:
# Make sure that every complete iteration (all processes)
# will last max 1 sec.
# We do this because we don't want to wait too long on a
# single process: in case it terminates too late other
# processes may disappear in the meantime and their PID
# reused.
max_timeout = 1.0 / len(alive)
if timeout is not None:
timeout = min((deadline - _timer()), max_timeout)
if timeout <= 0:
break
check_gone(proc, timeout)
else:
check_gone(proc, max_timeout)
alive = alive - gone
if alive:
# Last attempt over processes survived so far.
# timeout == 0 won't make this function wait any further.
for proc in alive:
check_gone(proc, 0)
alive = alive - gone
return (list(gone), list(alive))
# =====================================================================
# --- CPU related functions
# =====================================================================
def cpu_count(logical=True):
"""Return the number of logical CPUs in the system (same as
os.cpu_count() in Python 3.4).
If *logical* is False return the number of physical cores only
(e.g. hyper thread CPUs are excluded).
Return None if undetermined.
The return value is cached after first call.
If desired cache can be cleared like this:
>>> psutil.cpu_count.cache_clear()
"""
if logical:
ret = _psplatform.cpu_count_logical()
else:
ret = _psplatform.cpu_count_physical()
if ret is not None and ret < 1:
ret = None
return ret
def cpu_times(percpu=False):
"""Return system-wide CPU times as a namedtuple.
Every CPU time represents the seconds the CPU has spent in the
given mode. The namedtuple's fields availability varies depending on the
platform:
- user
- system
- idle
- nice (UNIX)
- iowait (Linux)
- irq (Linux, FreeBSD)
- softirq (Linux)
- steal (Linux >= 2.6.11)
- guest (Linux >= 2.6.24)
- guest_nice (Linux >= 3.2.0)
When *percpu* is True return a list of namedtuples for each CPU.
First element of the list refers to first CPU, second element
to second CPU and so on.
The order of the list is consistent across calls.
"""
if not percpu:
return _psplatform.cpu_times()
else:
return _psplatform.per_cpu_times()
try:
_last_cpu_times = cpu_times()
except Exception:
# Don't want to crash at import time.
_last_cpu_times = None
traceback.print_exc()
try:
_last_per_cpu_times = cpu_times(percpu=True)
except Exception:
# Don't want to crash at import time.
_last_per_cpu_times = None
traceback.print_exc()
def _cpu_tot_time(times):
"""Given a cpu_time() ntuple calculates the total CPU time
(including idle time).
"""
tot = sum(times)
if LINUX:
# On Linux guest times are already accounted in "user" or
# "nice" times, so we subtract them from total.
# Htop does the same. References:
# https://github.com/giampaolo/psutil/pull/940
# http://unix.stackexchange.com/questions/178045
# https://github.com/torvalds/linux/blob/
# 447976ef4fd09b1be88b316d1a81553f1aa7cd07/kernel/sched/
# cputime.c#L158
tot -= getattr(times, "guest", 0) # Linux 2.6.24+
tot -= getattr(times, "guest_nice", 0) # Linux 3.2.0+
return tot
def _cpu_busy_time(times):
"""Given a cpu_time() ntuple calculates the busy CPU time.
We do so by subtracting all idle CPU times.
"""
busy = _cpu_tot_time(times)
busy -= times.idle
# Linux: "iowait" is time during which the CPU does not do anything
# (waits for IO to complete). On Linux IO wait is *not* accounted
# in "idle" time so we subtract it. Htop does the same.
# References:
# https://github.com/torvalds/linux/blob/
# 447976ef4fd09b1be88b316d1a81553f1aa7cd07/kernel/sched/cputime.c#L244
busy -= getattr(times, "iowait", 0)
return busy
def _cpu_times_deltas(t1, t2):
assert t1._fields == t2._fields, (t1, t2)
field_deltas = []
for field in _psplatform.scputimes._fields:
field_delta = getattr(t2, field) - getattr(t1, field)
# CPU times are always supposed to increase over time
# or at least remain the same and that's because time
# cannot go backwards.
# Surprisingly sometimes this might not be the case (at
# least on Windows and Linux), see:
# https://github.com/giampaolo/psutil/issues/392
# https://github.com/giampaolo/psutil/issues/645
# https://github.com/giampaolo/psutil/issues/1210
# Trim negative deltas to zero to ignore decreasing fields.
# top does the same. Reference:
# https://gitlab.com/procps-ng/procps/blob/v3.3.12/top/top.c#L5063
field_delta = max(0, field_delta)
field_deltas.append(field_delta)
return _psplatform.scputimes(*field_deltas)
def cpu_percent(interval=None, percpu=False):
"""Return a float representing the current system-wide CPU
utilization as a percentage.
When *interval* is > 0.0 compares system CPU times elapsed before
and after the interval (blocking).
When *interval* is 0.0 or None compares system CPU times elapsed
since last call or module import, returning immediately (non
blocking). That means the first time this is called it will
return a meaningless 0.0 value which you should ignore.
In this case is recommended for accuracy that this function be
called with at least 0.1 seconds between calls.
When *percpu* is True returns a list of floats representing the
utilization as a percentage for each CPU.
First element of the list refers to first CPU, second element
to second CPU and so on.
The order of the list is consistent across calls.
Examples:
>>> # blocking, system-wide
>>> psutil.cpu_percent(interval=1)
2.0
>>>
>>> # blocking, per-cpu
>>> psutil.cpu_percent(interval=1, percpu=True)
[2.0, 1.0]
>>>
>>> # non-blocking (percentage since last call)
>>> psutil.cpu_percent(interval=None)
2.9
>>>
"""
global _last_cpu_times
global _last_per_cpu_times
blocking = interval is not None and interval > 0.0
if interval is not None and interval < 0:
raise ValueError("interval is not positive (got %r)" % interval)
def calculate(t1, t2):
times_delta = _cpu_times_deltas(t1, t2)
all_delta = _cpu_tot_time(times_delta)
busy_delta = _cpu_busy_time(times_delta)
try:
busy_perc = (busy_delta / all_delta) * 100
except ZeroDivisionError:
return 0.0
else:
return round(busy_perc, 1)
# system-wide usage
if not percpu:
if blocking:
t1 = cpu_times()
time.sleep(interval)
else:
t1 = _last_cpu_times
if t1 is None:
# Something bad happened at import time. We'll
# get a meaningful result on the next call. See:
# https://github.com/giampaolo/psutil/pull/715
t1 = cpu_times()
_last_cpu_times = cpu_times()
return calculate(t1, _last_cpu_times)
# per-cpu usage
else:
ret = []
if blocking:
tot1 = cpu_times(percpu=True)
time.sleep(interval)
else:
tot1 = _last_per_cpu_times
if tot1 is None:
# Something bad happened at import time. We'll
# get a meaningful result on the next call. See:
# https://github.com/giampaolo/psutil/pull/715
tot1 = cpu_times(percpu=True)
_last_per_cpu_times = cpu_times(percpu=True)
for t1, t2 in zip(tot1, _last_per_cpu_times):
ret.append(calculate(t1, t2))
return ret
# Use separate global vars for cpu_times_percent() so that it's
# independent from cpu_percent() and they can both be used within
# the same program.
_last_cpu_times_2 = _last_cpu_times
_last_per_cpu_times_2 = _last_per_cpu_times
def cpu_times_percent(interval=None, percpu=False):
"""Same as cpu_percent() but provides utilization percentages
for each specific CPU time as is returned by cpu_times().
For instance, on Linux we'll get:
>>> cpu_times_percent()
cpupercent(user=4.8, nice=0.0, system=4.8, idle=90.5, iowait=0.0,
irq=0.0, softirq=0.0, steal=0.0, guest=0.0, guest_nice=0.0)
>>>
*interval* and *percpu* arguments have the same meaning as in
cpu_percent().
"""
global _last_cpu_times_2
global _last_per_cpu_times_2
blocking = interval is not None and interval > 0.0
if interval is not None and interval < 0:
raise ValueError("interval is not positive (got %r)" % interval)
def calculate(t1, t2):
nums = []
times_delta = _cpu_times_deltas(t1, t2)
all_delta = _cpu_tot_time(times_delta)
# "scale" is the value to multiply each delta with to get percentages.
# We use "max" to avoid division by zero (if all_delta is 0, then all
# fields are 0 so percentages will be 0 too. all_delta cannot be a
# fraction because cpu times are integers)
scale = 100.0 / max(1, all_delta)
for field_delta in times_delta:
field_perc = field_delta * scale
field_perc = round(field_perc, 1)
# make sure we don't return negative values or values over 100%
field_perc = min(max(0.0, field_perc), 100.0)
nums.append(field_perc)
return _psplatform.scputimes(*nums)
# system-wide usage
if not percpu:
if blocking:
t1 = cpu_times()
time.sleep(interval)
else:
t1 = _last_cpu_times_2
if t1 is None:
# Something bad happened at import time. We'll
# get a meaningful result on the next call. See:
# https://github.com/giampaolo/psutil/pull/715
t1 = cpu_times()
_last_cpu_times_2 = cpu_times()
return calculate(t1, _last_cpu_times_2)
# per-cpu usage
else:
ret = []
if blocking:
tot1 = cpu_times(percpu=True)
time.sleep(interval)
else:
tot1 = _last_per_cpu_times_2
if tot1 is None:
# Something bad happened at import time. We'll
# get a meaningful result on the next call. See:
# https://github.com/giampaolo/psutil/pull/715
tot1 = cpu_times(percpu=True)
_last_per_cpu_times_2 = cpu_times(percpu=True)
for t1, t2 in zip(tot1, _last_per_cpu_times_2):
ret.append(calculate(t1, t2))
return ret
def cpu_stats():
"""Return CPU statistics."""
return _psplatform.cpu_stats()
if hasattr(_psplatform, "cpu_freq"):
def cpu_freq(percpu=False):
"""Return CPU frequency as a nameduple including current,
min and max frequency expressed in Mhz.
If *percpu* is True and the system supports per-cpu frequency
retrieval (Linux only) a list of frequencies is returned for
each CPU. If not a list with one element is returned.
"""
ret = _psplatform.cpu_freq()
if percpu:
return ret
else:
num_cpus = float(len(ret))
if num_cpus == 0:
return None
elif num_cpus == 1:
return ret[0]
else:
currs, mins, maxs = 0.0, 0.0, 0.0
for cpu in ret:
currs += cpu.current
mins += cpu.min
maxs += cpu.max
current = currs / num_cpus
min_ = mins / num_cpus
max_ = maxs / num_cpus
return _common.scpufreq(current, min_, max_)
__all__.append("cpu_freq")
# =====================================================================
# --- system memory related functions
# =====================================================================
def virtual_memory():
"""Return statistics about system memory usage as a namedtuple
including the following fields, expressed in bytes:
- total:
total physical memory available.
- available:
the memory that can be given instantly to processes without the
system going into swap.
This is calculated by summing different memory values depending
on the platform and it is supposed to be used to monitor actual
memory usage in a cross platform fashion.
- percent:
the percentage usage calculated as (total - available) / total * 100
- used:
memory used, calculated differently depending on the platform and
designed for informational purposes only:
macOS: active + inactive + wired
BSD: active + wired + cached
Linux: total - free
- free:
memory not being used at all (zeroed) that is readily available;
note that this doesn't reflect the actual memory available
(use 'available' instead)
Platform-specific fields:
- active (UNIX):
memory currently in use or very recently used, and so it is in RAM.
- inactive (UNIX):
memory that is marked as not used.
- buffers (BSD, Linux):
cache for things like file system metadata.
- cached (BSD, macOS):
cache for various things.
- wired (macOS, BSD):
memory that is marked to always stay in RAM. It is never moved to disk.
- shared (BSD):
memory that may be simultaneously accessed by multiple processes.
The sum of 'used' and 'available' does not necessarily equal total.
On Windows 'available' and 'free' are the same.
"""
global _TOTAL_PHYMEM
ret = _psplatform.virtual_memory()
# cached for later use in Process.memory_percent()
_TOTAL_PHYMEM = ret.total
return ret
def swap_memory():
"""Return system swap memory statistics as a namedtuple including
the following fields:
- total: total swap memory in bytes
- used: used swap memory in bytes
- free: free swap memory in bytes
- percent: the percentage usage
- sin: no. of bytes the system has swapped in from disk (cumulative)
- sout: no. of bytes the system has swapped out from disk (cumulative)
'sin' and 'sout' on Windows are meaningless and always set to 0.
"""
return _psplatform.swap_memory()
# =====================================================================
# --- disks/paritions related functions
# =====================================================================
def disk_usage(path):
"""Return disk usage statistics about the given *path* as a
namedtuple including total, used and free space expressed in bytes
plus the percentage usage.
"""
return _psplatform.disk_usage(path)
def disk_partitions(all=False):
"""Return mounted partitions as a list of
(device, mountpoint, fstype, opts) namedtuple.
'opts' field is a raw string separated by commas indicating mount
options which may vary depending on the platform.
If *all* parameter is False return physical devices only and ignore
all others.
"""
return _psplatform.disk_partitions(all)
def disk_io_counters(perdisk=False, nowrap=True):
"""Return system disk I/O statistics as a namedtuple including
the following fields:
- read_count: number of reads
- write_count: number of writes
- read_bytes: number of bytes read
- write_bytes: number of bytes written
- read_time: time spent reading from disk (in ms)
- write_time: time spent writing to disk (in ms)
Platform specific:
- busy_time: (Linux, FreeBSD) time spent doing actual I/Os (in ms)
- read_merged_count (Linux): number of merged reads
- write_merged_count (Linux): number of merged writes
If *perdisk* is True return the same information for every
physical disk installed on the system as a dictionary
with partition names as the keys and the namedtuple
described above as the values.
If *nowrap* is True it detects and adjust the numbers which overflow
and wrap (restart from 0) and add "old value" to "new value" so that
the returned numbers will always be increasing or remain the same,
but never decrease.
"disk_io_counters.cache_clear()" can be used to invalidate the
cache.
On recent Windows versions 'diskperf -y' command may need to be
executed first otherwise this function won't find any disk.
"""
kwargs = dict(perdisk=perdisk) if LINUX else {}
rawdict = _psplatform.disk_io_counters(**kwargs)
if not rawdict:
return {} if perdisk else None
if nowrap:
rawdict = _wrap_numbers(rawdict, 'psutil.disk_io_counters')
nt = getattr(_psplatform, "sdiskio", _common.sdiskio)
if perdisk:
for disk, fields in rawdict.items():
rawdict[disk] = nt(*fields)
return rawdict
else:
return nt(*[sum(x) for x in zip(*rawdict.values())])
disk_io_counters.cache_clear = functools.partial(
_wrap_numbers.cache_clear, 'psutil.disk_io_counters')
disk_io_counters.cache_clear.__doc__ = "Clears nowrap argument cache"
# =====================================================================
# --- network related functions
# =====================================================================
def net_io_counters(pernic=False, nowrap=True):
"""Return network I/O statistics as a namedtuple including
the following fields:
- bytes_sent: number of bytes sent
- bytes_recv: number of bytes received
- packets_sent: number of packets sent
- packets_recv: number of packets received
- errin: total number of errors while receiving
- errout: total number of errors while sending
- dropin: total number of incoming packets which were dropped
- dropout: total number of outgoing packets which were dropped
(always 0 on macOS and BSD)
If *pernic* is True return the same information for every
network interface installed on the system as a dictionary
with network interface names as the keys and the namedtuple
described above as the values.
If *nowrap* is True it detects and adjust the numbers which overflow
and wrap (restart from 0) and add "old value" to "new value" so that
the returned numbers will always be increasing or remain the same,
but never decrease.
"disk_io_counters.cache_clear()" can be used to invalidate the
cache.
"""
rawdict = _psplatform.net_io_counters()
if not rawdict:
return {} if pernic else None
if nowrap:
rawdict = _wrap_numbers(rawdict, 'psutil.net_io_counters')
if pernic:
for nic, fields in rawdict.items():
rawdict[nic] = _common.snetio(*fields)
return rawdict
else:
return _common.snetio(*[sum(x) for x in zip(*rawdict.values())])
net_io_counters.cache_clear = functools.partial(
_wrap_numbers.cache_clear, 'psutil.net_io_counters')
net_io_counters.cache_clear.__doc__ = "Clears nowrap argument cache"
def net_connections(kind='inet'):
"""Return system-wide socket connections as a list of
(fd, family, type, laddr, raddr, status, pid) namedtuples.
In case of limited privileges 'fd' and 'pid' may be set to -1
and None respectively.
The *kind* parameter filters for connections that fit the
following criteria:
+------------+----------------------------------------------------+
| Kind Value | Connections using |
+------------+----------------------------------------------------+
| inet | IPv4 and IPv6 |
| inet4 | IPv4 |
| inet6 | IPv6 |
| tcp | TCP |
| tcp4 | TCP over IPv4 |
| tcp6 | TCP over IPv6 |
| udp | UDP |
| udp4 | UDP over IPv4 |
| udp6 | UDP over IPv6 |
| unix | UNIX socket (both UDP and TCP protocols) |
| all | the sum of all the possible families and protocols |
+------------+----------------------------------------------------+
On macOS this function requires root privileges.
"""
return _psplatform.net_connections(kind)
def net_if_addrs():
"""Return the addresses associated to each NIC (network interface
card) installed on the system as a dictionary whose keys are the
NIC names and value is a list of namedtuples for each address
assigned to the NIC. Each namedtuple includes 5 fields:
- family: can be either socket.AF_INET, socket.AF_INET6 or
psutil.AF_LINK, which refers to a MAC address.
- address: is the primary address and it is always set.
- netmask: and 'broadcast' and 'ptp' may be None.
- ptp: stands for "point to point" and references the
destination address on a point to point interface
(typically a VPN).
- broadcast: and *ptp* are mutually exclusive.
Note: you can have more than one address of the same family
associated with each interface.
"""
has_enums = sys.version_info >= (3, 4)
if has_enums:
import socket
rawlist = _psplatform.net_if_addrs()
rawlist.sort(key=lambda x: x[1]) # sort by family
ret = collections.defaultdict(list)
for name, fam, addr, mask, broadcast, ptp in rawlist:
if has_enums:
try:
fam = socket.AddressFamily(fam)
except ValueError:
if WINDOWS and fam == -1:
fam = _psplatform.AF_LINK
elif (hasattr(_psplatform, "AF_LINK") and
_psplatform.AF_LINK == fam):
# Linux defines AF_LINK as an alias for AF_PACKET.
# We re-set the family here so that repr(family)
# will show AF_LINK rather than AF_PACKET
fam = _psplatform.AF_LINK
if fam == _psplatform.AF_LINK:
# The underlying C function may return an incomplete MAC
# address in which case we fill it with null bytes, see:
# https://github.com/giampaolo/psutil/issues/786
separator = ":" if POSIX else "-"
while addr.count(separator) < 5:
addr += "%s00" % separator
ret[name].append(_common.snicaddr(fam, addr, mask, broadcast, ptp))
return dict(ret)
def net_if_stats():
"""Return information about each NIC (network interface card)
installed on the system as a dictionary whose keys are the
NIC names and value is a namedtuple with the following fields:
- isup: whether the interface is up (bool)
- duplex: can be either NIC_DUPLEX_FULL, NIC_DUPLEX_HALF or
NIC_DUPLEX_UNKNOWN
- speed: the NIC speed expressed in mega bits (MB); if it can't
be determined (e.g. 'localhost') it will be set to 0.
- mtu: the maximum transmission unit expressed in bytes.
"""
return _psplatform.net_if_stats()
# =====================================================================
# --- sensors
# =====================================================================
# Linux, macOS
if hasattr(_psplatform, "sensors_temperatures"):
def sensors_temperatures(fahrenheit=False):
"""Return hardware temperatures. Each entry is a namedtuple
representing a certain hardware sensor (it may be a CPU, an
hard disk or something else, depending on the OS and its
configuration).
All temperatures are expressed in celsius unless *fahrenheit*
is set to True.
"""
def convert(n):
if n is not None:
return (float(n) * 9 / 5) + 32 if fahrenheit else n
ret = collections.defaultdict(list)
rawdict = _psplatform.sensors_temperatures()
for name, values in rawdict.items():
while values:
label, current, high, critical = values.pop(0)
current = convert(current)
high = convert(high)
critical = convert(critical)
if high and not critical:
critical = high
elif critical and not high:
high = critical
ret[name].append(
_common.shwtemp(label, current, high, critical))
return dict(ret)
__all__.append("sensors_temperatures")
# Linux, macOS
if hasattr(_psplatform, "sensors_fans"):
def sensors_fans():
"""Return fans speed. Each entry is a namedtuple
representing a certain hardware sensor.
All speed are expressed in RPM (rounds per minute).
"""
return _psplatform.sensors_fans()
__all__.append("sensors_fans")
# Linux, Windows, FreeBSD, macOS
if hasattr(_psplatform, "sensors_battery"):
def sensors_battery():
"""Return battery information. If no battery is installed
returns None.
- percent: battery power left as a percentage.
- secsleft: a rough approximation of how many seconds are left
before the battery runs out of power. May be
POWER_TIME_UNLIMITED or POWER_TIME_UNLIMITED.
- power_plugged: True if the AC power cable is connected.
"""
return _psplatform.sensors_battery()
__all__.append("sensors_battery")
# =====================================================================
# --- other system related functions
# =====================================================================
def boot_time():
"""Return the system boot time expressed in seconds since the epoch."""
# Note: we are not caching this because it is subject to
# system clock updates.
return _psplatform.boot_time()
def users():
"""Return users currently connected on the system as a list of
namedtuples including the following fields.
- user: the name of the user
- terminal: the tty or pseudo-tty associated with the user, if any.
- host: the host name associated with the entry, if any.
- started: the creation time as a floating point number expressed in
seconds since the epoch.
"""
return _psplatform.users()
# =====================================================================
# --- Windows services
# =====================================================================
if WINDOWS:
def win_service_iter():
"""Return a generator yielding a WindowsService instance for all
Windows services installed.
"""
return _psplatform.win_service_iter()
def win_service_get(name):
"""Get a Windows service by *name*.
Raise NoSuchProcess if no service with such name exists.
"""
return _psplatform.win_service_get(name)
# =====================================================================
def test(): # pragma: no cover
"""List info of all currently running processes emulating ps aux
output.
"""
today_day = datetime.date.today()
templ = "%-10s %5s %4s %7s %7s %-13s %5s %7s %s"
attrs = ['pid', 'memory_percent', 'name', 'cpu_times', 'create_time',
'memory_info']
if POSIX:
attrs.append('uids')
attrs.append('terminal')
print(templ % ("USER", "PID", "%MEM", "VSZ", "RSS", "TTY", "START", "TIME",
"COMMAND"))
for p in process_iter(attrs=attrs, ad_value=''):
if p.info['create_time']:
ctime = datetime.datetime.fromtimestamp(p.info['create_time'])
if ctime.date() == today_day:
ctime = ctime.strftime("%H:%M")
else:
ctime = ctime.strftime("%b%d")
else:
ctime = ''
cputime = time.strftime("%M:%S",
time.localtime(sum(p.info['cpu_times'])))
try:
user = p.username()
except Error:
user = ''
if WINDOWS and '\\' in user:
user = user.split('\\')[1]
vms = p.info['memory_info'] and \
int(p.info['memory_info'].vms / 1024) or '?'
rss = p.info['memory_info'] and \
int(p.info['memory_info'].rss / 1024) or '?'
memp = p.info['memory_percent'] and \
round(p.info['memory_percent'], 1) or '?'
print(templ % (
user[:10],
p.info['pid'],
memp,
vms,
rss,
p.info.get('terminal', '') or '?',
ctime,
cputime,
p.info['name'].strip() or '?'))
del memoize, memoize_when_activated, division, deprecated_method
if sys.version_info[0] < 3:
del num, x
if __name__ == "__main__":
test()
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