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analyze	-	Open
cmd	-	Open
config	-	Open
distros	-	Open
filters	-	Open
handlers	-	Open
log	-	Open
mergers	-	Open
net	-	Open
reporting	-	Open
sources	-	Open
__pycache__	-	Open
apport.py	8.27 MB	View DL Edit
atomic_helper.py	2.79 MB	View DL Edit
cloud.py	3.71 MB	View DL Edit
dmi.py	7.86 MB	View DL Edit
event.py	2 MB	View DL Edit
features.py	4.87 MB	View DL Edit
gpg.py	7.99 MB	View DL Edit
helpers.py	16.16 MB	View DL Edit
importer.py	2.43 MB	View DL Edit
lifecycle.py	7.78 MB	View DL Edit
netinfo.py	24.02 MB	View DL Edit
performance.py	3.1 MB	View DL Edit
persistence.py	2.52 MB	View DL Edit
registry.py	1022 B	View DL Edit
safeyaml.py	10.11 MB	View DL Edit
settings.py	2.15 MB	View DL Edit
signal_handler.py	1.75 MB	View DL Edit
simpletable.py	1.93 MB	View DL Edit
socket.py	5.93 MB	View DL Edit
ssh_util.py	22.22 MB	View DL Edit
stages.py	41.53 MB	View DL Edit
subp.py	12.36 MB	View DL Edit
templater.py	7.8 MB	View DL Edit
temp_utils.py	2.94 MB	View DL Edit
type_utils.py	703 B	View DL Edit
url_helper.py	34.7 MB	View DL Edit
user_data.py	14.44 MB	View DL Edit
util.py	91.22 MB	View DL Edit
version.py	564 B	View DL Edit
warnings.py	3.76 MB	View DL Edit
__init__.py	0 B	View DL Edit

Edit file: /usr/lib/python3.9/site-packages/cloudinit/performance.py

import functools
import logging
import time

LOG = logging.getLogger(__name__)

class Timed:
    """
    A context manager which measures and optionally logs context run time.

:param msg: A message that describes the thing that is being measured
    :param threshold: Threshold, in seconds. When the context exceeds this
        threshold, a log will be made.
    :param log_mode: Control whether to log. Defaults to "threshold". Possible
        values include:
        "always" - Always log 'msg', even when 'threshold' is not reached.
        "threshold" - Log when context time exceeds 'threshold'.
        "skip" - Do not log. Context time and message are stored in the
            'output' and 'delta' attributes, respectively. Used to manually
            coalesce with other logs at the call site.

usage:

this call:
        ```
        with Timed("Configuring the network"):
            run_configure()
        ```

might produce this log:
        ```
            Configuring the network took 0.100 seconds
        ```
    """

def __init__(
        self,
        msg: str,
        *,
        threshold: float = 0.01,
        log_mode: str = "threshold",
    ):
        self.msg = msg
        self.threshold = threshold
        self.log_mode = log_mode
        self.output = ""
        self.start = 0.0
        self.delta = 0.0

def __enter__(self):
        self.start = time.monotonic()
        return self

def __exit__(self, exc_type, exc_val, exc_tb):
        self.delta = time.monotonic() - self.start
        suffix = f"took {self.delta:.3f} seconds"
        if "always" == self.log_mode:
            LOG.debug("%s %s", self.msg, suffix)
        elif "skip" == self.log_mode:
            return
        elif "threshold" == self.log_mode:
            if self.delta > self.threshold:
                LOG.debug("%s %s", self.msg, suffix)
                self.output = f"{self.msg} {suffix}"
        else:
            raise ValueError(
                f"Invalid Timed log_mode value: '{self.log_mode}'."
            )

def timed(msg: str, *, threshold: float = 0.01, log_mode: str = "threshold"):
    """
    A decorator which measures and optionally logs context run time.

usage:

this call:
        ```
        @timed("Configuring the network")
        def run_configure():
            ...
        ```

might produce this log:
        ```
            Configuring the network took 0.100 seconds
        ```
    """

def wrapper(func):
        @functools.wraps(func)
        def decorator(*args, **kwargs):
            with Timed(msg, threshold=threshold, log_mode=log_mode):
                return func(*args, **kwargs)

return decorator

return wrapper

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