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util.py
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74 lines (62 loc) · 2.25 KB
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# Copyright DataStax, Inc.
#
# 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
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import time
from functools import wraps
def wait_until(condition, delay, max_attempts):
"""
Executes a function at regular intervals while the condition
is false and the amount of attempts < maxAttempts.
:param condition: a function
:param delay: the delay in second
:param max_attempts: the maximum number of attempts. So the timeout
of this function is delay*max_attempts
"""
attempt = 0
while not condition() and attempt < max_attempts:
attempt += 1
time.sleep(delay)
if attempt >= max_attempts:
raise Exception("Condition is still False after {} attempts.".format(max_attempts))
def wait_until_not_raised(condition, delay, max_attempts):
"""
Executes a function at regular intervals while the condition
doesn't raise an exception and the amount of attempts < maxAttempts.
:param condition: a function
:param delay: the delay in second
:param max_attempts: the maximum number of attemps. So the timeout
of this function will be delay*max_attempts
"""
def wrapped_condition():
try:
result = condition()
except:
return False, None
return True, result
attempt = 0
while attempt < (max_attempts-1):
attempt += 1
success, result = wrapped_condition()
if success:
return result
time.sleep(delay)
# last attempt, let the exception raise
return condition()
def late(seconds=1):
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
time.sleep(seconds)
func(*args, **kwargs)
return wrapper
return decorator