{ "info": { "author": "Damien Irving", "author_email": "irving.damien@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# Command line provenance\n\n`cmdline_provenance` is a Python package for keeping track of your data processing steps.\n\nIt was inspired by the popular [NCO](http://nco.sourceforge.net/)\nand [CDO](https://code.mpimet.mpg.de/projects/cdo) command line tools,\nwhich automatically generate a record of what was executed at the command line,\nappend that record to the history attribute from the input (netCDF) data file,\nand then set the new extended record as the history attribute of the output (netCDF) data file.\n\nFor example, after selecting the 2001-2005 time period from a rainfall data file\nand then deleting the `long_name` file attribute,\nthe command log would look as follows:\n```\nFri Dec 08 10:05:47 2017: ncatted -O -a long_name,pr,d,, rainfall_data_200101-200512.nc\nFri Dec 01 07:59:16 2017: cdo seldate,2001-01-01,2005-12-31 rainfall_data_185001-200512.nc rainfall_data_200101-200512.nc\n```\nFollowing this simple approach to data provenance,\nit is possible maintain a record of all data processing steps\nfrom intial download/creation of your data files to the end result (e.g. a .png image).\n\n`cmdline_provenance` contains a series of functions for generating history records in the NCO/CDO format,\nand for combining the current record with previous records to maintain a complete command log.\n\n## Documentation\n\nhttp://cmdline-provenance.readthedocs.io/en/latest/\n\n## Installation\n\n```\npip install cmdline-provenance\n```\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/DamienIrving/cmdline_provenance", "keywords": "", "license": "", "maintainer": "", 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