retry-decorator | Decorator for retrying when exceptions | Architecture library
kandi X-RAY | retry-decorator Summary
kandi X-RAY | retry-decorator Summary
retry-decorator is a Python library typically used in Architecture applications. retry-decorator has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install retry-decorator' or download it from GitHub, PyPI.
Decorator for retrying when exceptions occur
Decorator for retrying when exceptions occur
Support
Quality
Security
License
Reuse
Support
retry-decorator has a low active ecosystem.
It has 23 star(s) with 12 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 6 have been closed. On average issues are closed in 265 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of retry-decorator is 2.0a1
Quality
retry-decorator has 0 bugs and 0 code smells.
Security
retry-decorator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
retry-decorator code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
retry-decorator is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
retry-decorator releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
retry-decorator saves you 41 person hours of effort in developing the same functionality from scratch.
It has 110 lines of code, 9 functions and 5 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed retry-decorator and discovered the below as its top functions. This is intended to give you an instant insight into retry-decorator implemented functionality, and help decide if they suit your requirements.
- Retry decorator .
- Retry a retry handler .
- Initialize the exception handler .
- Wrapper for retry .
Get all kandi verified functions for this library.
retry-decorator Key Features
No Key Features are available at this moment for retry-decorator.
retry-decorator Examples and Code Snippets
Copy
PUT /test_replace_id/
{
"mappings": {
"properties": {
"employee_ids":{
"type": "keyword"
}
}
}
}
POST /test_replace_id/_doc/1
{
"employee_ids": ["old1","old2"],
"frieds_id": "old1"
}
POST /test_replace
Copy
# assign cls with the desired class reference first
@retry(
stop_max_attempt_number=3,
retry_on_exception=lambda exc, cls=cls: retry_if_db_error_or_passwd_change(exc, cls)
)
def add_request_to_db(self, req_id):
...
Copy
from unittest.mock import Mock
def test_retry_function_2(self):
@retry(times=10, exceptions=(ValueError,))
def sample_func(mock_arg):
mock_arg._count += 1
raise ValueError
mock = Mock(_count=0)
with self.as
Copy
@decorator_with_args(arg)
def foo(*args, **kwargs):
pass
foo = decorator_with_args(arg)(foo)
def decorator(func):
def wrapper(*args, **kwargs):
returned_value = func(*args,
Copy
@retry((Exception), tries=3, delay=0, backoff=0)
def main2():
np.load('File2.csv')
error_counter = 0
def main2():
try:
np.load('File2.csv')
except:
if error_counter < 3
Copy
# in generator do this and add retry annotations to calling method
...
try:
do_something()
except Exception as ex:
log_or_do_something_else()
raise
finally:
cleanup()
yield something
...
# in generator don't do this
..
Copy
import functools
import signal
from multiprocessing import TimeoutError
import six
from google.cloud import storage
_PARTIAL_VALID_ASSIGNMENTS = ("__doc__",)
def wraps(wrapped):
"""A functools.wraps helper that handles partial obj
Copy
max_retries = 10
retry_time = 0.1
retries = 10
while True:
retries += 1
try:
os.rename(image_path, save_path)
except FileNotFoundError:
time.sleep(retry_time) # lets avoid CPU spikes
else:
break
Copy
while True:
resp = requests.get(render_execution_url, headers=headers)
# I assume response status is always 200 or 204 -
# Really easy to detect a 404 here if that happens.
if not resp.data:
time.sleep(WAIT_TIME)
Copy
def retry_if_result_none(result):
print(result)
return result is None
Retry.....
None
Retry.....
None
True # Note: I have set the condition to num < 3
ok
Retry.....
over
def tr
Community Discussions
Trending Discussions on retry-decorator
QUESTION
Get status_code with max_retries setting for requests.head
Asked 2019-Mar-13 at 15:05
As seen here, max-retries
can be set for requests.Session()
, but I only need the head.status_code
to check if a url is valid and active.
Is there a way to just get the head within a mount session?
...ANSWER
Answered 2019-Mar-13 at 15:05After a mere two hours of developing the question, the answer took five minutes:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install retry-decorator
You can install using 'pip install retry-decorator' or download it from GitHub, PyPI.
You can use retry-decorator like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use retry-decorator like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page