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retryCommand 0.0.2
Retry Command
Introduction
Retry Command is a Python library that allows you to retry executing a command multiple times until it succeeds or reaches the maximum number of retries. It provides options to customize the behavior of retries, such as setting a timeout for each execution and specifying the return codes that indicate success.
Installation
To use Retry Command, you need to have Python installed on your system. You can install the library using pip:
pip install retryCommand
Usage
Retry Command can only be used as a standalone script
Standalone Script
To use Retry Command as a standalone script, you can run the following command:
do-retry [options] -c <command>
Replace <command> with the command you want to execute. You can also specify various options to customize the behavior of retries. Use the -h or --help option to see the available options and their descriptions.
Options
Retry Command provides several options to customize the behavior of retries:
-s, --no-stop-after-success: Do not stop retrying after the command succeeds.
-p, --no-ignore-process-error: Do not stop retrying after encountering a process error.
-m, --max-num-of-retry: Maximum number of retries. Set to -1 for unlimited retries.
-i, --interval: Interval between retries in seconds.
-t, --time-out: Timeout for each execution in seconds. Set to -1 for no timeout.
-d, --cwd: Current working directory for the command.
-n, --success-return-code: Return codes that indicate success. Multiple values can be specified.
-q --quite: mute more output.
--mute: mute all output.
-l, --no-need-to-log: Does not output any records outside of stdou. It only works when mute is on.
-c, --command: Command to execute.
Examples
Here are some examples of how to use Retry Command:
Retry executing a command until it succeeds, ignoring process errors:
do-retry -c <command>
Retry executing a command with a maximum of 3 retries, an interval of 2 seconds, and a timeout of 5 seconds:
do-retry -m 3 -i 2 -t 5 -c <command>
License
Retry Command is licensed under the MulanPSL-2.0 License. See the LICENSE file for more information.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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