pycodedock | python module that enables to run python scripts

Firstly make sure you have docker installed and the current user has the necessary privileges to create and destroy containers. Look here for more info:. You will need a docker image with python support. You can directly pull the pybuntu image $docker pull pybuntu Or if you prefer, create your own image from dockerfile but make sure it has python installed in it. Now you can use the following commands to import pydock and get path to script and input file. The module simply redirects the contents of the input file to STDIN while executing the code. unique_code: string A string identifying the container. If you are running multiple containers parallely, make sure all of them have a different unique_code. code_file : string Absolute path to the file containg script. (variable 'script' in this case). input_file: string Absolute path to the file containing the input that will be redirected to STDIN when executing the script. time_limit: float The time limit in seconds after which the script will be terminated. (defaults to 1000). The module makes use of bash timeout command for this. timeout first sends SIGTERM to the process, then escalates to SIGKILL a few milliseconds later if the process fails to stop. custom_settings: dict : Each container has a set of default settings. You can override those by passing values in this param. Look below in the custom settings section for more details. Note that at this time, container is not running. The following command start the container and execute the code. This may take time to execute depending on your system and the script Once the execution is complete, you can inspect the status. It can mainly have 3 values 0 - Successful execution -1 - Error 124 - Timeout The output and error files are copied to the dir. >>> D.output_file gives the path of the output file. >>> D.error_file gives the path to error file in which error dump is written Now you can perform normal file ops to get the output/error. Once everything is done, it is important to destroy the container and delete residue files >>> D.destroy() This will stop the container and delete all files including the input and output file. So make sure you process them or copy them before calling destroy.