# Copyright 2020 QuantumBlack Visual Analytics Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND
# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS
# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN
# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#
# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo
# (either separately or in combination, "QuantumBlack Trademarks") are
# trademarks of QuantumBlack. The License does not grant you any right or
# license to the QuantumBlack Trademarks. You may not use the QuantumBlack
# Trademarks or any confusingly similar mark as a trademark for your product,
# or use the QuantumBlack Trademarks in any other manner that might cause
# confusion in the marketplace, including but not limited to in advertising,
# on websites, or on software.
#
# See the License for the specific language governing permissions and
# limitations under the License.
"""A module containing predefined node decorators in Kedro.
"""
import logging
import time
from functools import wraps
from typing import Callable
def _func_full_name(func: Callable):
if not getattr(func, "__module__", None):
return getattr(func, "__qualname__", repr(func))
return "{}.{}".format(func.__module__, func.__qualname__)
def _human_readable_time(elapsed: float): # pragma: no cover
mins, secs = divmod(elapsed, 60)
hours, mins = divmod(mins, 60)
if hours > 0:
message = "%dh%02dm%02ds" % (hours, mins, secs)
elif mins > 0:
message = "%dm%02ds" % (mins, secs)
elif secs >= 1:
message = "%.2fs" % secs
else:
message = "%.0fms" % (secs * 1000.0)
return message
[docs]def log_time(func: Callable) -> Callable:
"""A function decorator which logs the time taken for executing a function.
Args:
func: The function to be logged.
Returns:
A wrapped function, which will execute the provided function and log
the running time.
"""
@wraps(func)
def with_time(*args, **kwargs):
log = logging.getLogger(__name__)
t_start = time.time()
result = func(*args, **kwargs)
t_end = time.time()
elapsed = t_end - t_start
log.info(
"Running %r took %s [%.3fs]",
_func_full_name(func),
_human_readable_time(elapsed),
elapsed,
)
return result
return with_time