retry-decorator | Decorator for retrying when exceptions | Architecture library

 by   pnpnpn Python Version: 2.0a1 License: MIT

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
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            kandi-support Support

              retry-decorator has a low active ecosystem.
              It has 23 star(s) with 12 fork(s). There are 4 watchers for this library.
              OutlinedDot
              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

            kandi-Quality Quality

              retry-decorator has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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

            Update all elasticsearch docs using a dict for input using Python
            Pythondot img1Lines of Code : 43dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            Passing multiple arguments to retry_on_exception argument of retrying in python
            Pythondot img2Lines of Code : 9dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # 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):
                ...
            
            Unittest for decorator with self arguments
            Pythondot img3Lines of Code : 26dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            How to make retry decorator for queries that shows string error as parameter
            Pythondot img4Lines of Code : 44dot img4License : Strong Copyleft (CC BY-SA 4.0)
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            @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,
            In python, how do I re-run a function if it throws an error
            Pythondot img5Lines of Code : 15dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            @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
             
            "Retry" from tenacity module doesn't work with a generator
            Pythondot img6Lines of Code : 22dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # 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
            ..
            How do I apply timeout and retry decorator functions to google-cloud-storage client in python?
            Pythondot img7Lines of Code : 82dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            Python error handling not working as intended
            Pythondot img8Lines of Code : 18dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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
            Polling an API endpoint - how do I retry when no JSON is returned?
            Pythondot img9Lines of Code : 16dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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)
              
            Retry does not work when running with run_until_complete
            Pythondot img10Lines of Code : 44dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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 15:05

            After a mere two hours of developing the question, the answer took five minutes:

            Source https://stackoverflow.com/questions/55126926

            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.

            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 .
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            Install
          • PyPI

            pip install retry-decorator

          • CLONE
          • HTTPS

            https://github.com/pnpnpn/retry-decorator.git

          • CLI

            gh repo clone pnpnpn/retry-decorator

          • sshUrl

            git@github.com:pnpnpn/retry-decorator.git

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