{ "info": { "author": "Guillermo Castellano", "author_email": "gcastellano@protonmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# CSV2OPD - A CSV to XML converter for OpenProdoc\n\nThis desktop application transforms the metadata stored in a CSV file into XML files compatible with the open source DMS [OpenProdoc](https://github.com/JHierrot/openprodoc).\n\nThis application was created by [Guillermo Castellano](https://guillearch.github.io/), from [Nosturi](https://nosturi.es/).\n\nThe code is licensed under the [GNU General Public License v3.0](https://github.com/guillearch/atom-installer/blob/master/LICENSE). Feel free to adapt the application for your specific needs!\n\n## Requirements\n\nThis application can be used on any operating system which supports Python 3.x.\n\nCheck if you have Python 3.x installed by entering the following command into your terminal:\n\n```\npython --version\n```\n\nYou should see something like this:\n\n```\n$ python --version\nPython 3.7.0\n```\n\nOtherwise, [download and install Python](https://www.python.org/downloads/) before moving forward.\n\n## Installation\n\nThe easiest way to download and install CSV2OPD is using [pip](https://pip.pypa.io/en/stable/):\n\n```\npip install csv2opd\n```\n\nAlternatively, you can clone this repository:\n\n```\ngit clone https://github.com/guillearch/csv2opd.git\n```\n\nThen go to the new directory and run:\n\n```\n# If Python 3 is the default version\npython setup.py install\n\n# If Python 2 is the default version\npython3 setup.py install\n```\n\n## Running the application\n\n1. Run the application by entering the following command: `csv2opd`.\n2. Select the input CSV file. It must have a header.\n3. Select the output directory for the XML files.\n4. Select the type of field separator (delimiter) used by your CSV file.\n5. Click the button Convert.\n\nOnce the conversion is completed, you can import the documents and the metadata into OpenProdoc following the instructions provided in the [official documentation](https://jhierrot.github.io/openprodoc/help/EN/ImpExpFold.html).\n\nWe're all set!\n\n **Important**: The name of each document must be the same than the value of the Name field on its related OPD file.\n\n## Additional information\n\nThis application is intended for OpenProdoc 2.x.\n\nPlease read the [changelog](https://github.com/guillearch/csv2opd/tree/master/docs/changelog.md) and the [help file](https://github.com/guillearch/csv2opd/tree/master/docs/help.txt).\n\nIf you need any further assistance, don't hesitate to [contact me](mailto:gcastellano@nosturi.es).\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/guillearch/csv2opd", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "csv2opd", "package_url": "https://pypi.org/project/csv2opd/", "platform": "", "project_url": "https://pypi.org/project/csv2opd/", "project_urls": { "Homepage": "https://github.com/guillearch/csv2opd" }, "release_url": "https://pypi.org/project/csv2opd/1.1.1/", "requires_dist": null, "requires_python": "", "summary": "A CSV to XML converter for OpenProdoc", "version": "1.1.1" }, "last_serial": 5228510, "releases": { "1.1.0": [ { "comment_text": "", "digests": { "md5": "a208ca505fd61457602b68f61949ddd9", "sha256": "8af0370820ac1cb9e2a905bbee0037fdd07997048a919c08409988817abf2484" }, "downloads": -1, "filename": "csv2opd-1.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "a208ca505fd61457602b68f61949ddd9", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 17311, "upload_time": "2019-05-05T13:39:28", "url": "https://files.pythonhosted.org/packages/bf/7f/d3ba120be0c9b3162f6d20610a3f1f221fc0d3a8e4a2c4a3bf24e1599b49/csv2opd-1.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "9fa57d915ae3e5f4aa16650f857b5762", "sha256": "059a3e8263e680e7b9a636a925f995137015be09fda3d09e2ef40d3f6c9a7aec" }, "downloads": -1, "filename": "csv2opd-1.1.0.tar.gz", "has_sig": false, "md5_digest": "9fa57d915ae3e5f4aa16650f857b5762", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4480, "upload_time": "2019-05-05T13:39:30", "url": "https://files.pythonhosted.org/packages/c2/a1/1e661e71ab907bd0f299a53eb1b44901ea22218bbe3a3038a5b438261de1/csv2opd-1.1.0.tar.gz" } ], "1.1.1": [ { "comment_text": "", "digests": { "md5": "fa5624d00334f5d72603889b98ecf3f3", "sha256": "bb7750dd4f0228f291b3ce8a30f84a61cc79845f69631399e0227fc6f6f76837" }, "downloads": -1, "filename": "csv2opd-1.1.1-py3-none-any.whl", "has_sig": false, "md5_digest": "fa5624d00334f5d72603889b98ecf3f3", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 17312, "upload_time": "2019-05-05T13:45:53", "url": "https://files.pythonhosted.org/packages/b7/f3/8d6b165c5e3db5ddb9a0357ed997a92d51c3e11a12bbddada91c11066ccb/csv2opd-1.1.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "cea3d03781402956f3e05dda245abe5b", "sha256": "1c6c69d1b88af47a9ccf680d06bc4a5105d3c4c1f64178ff086c03b494ec9df9" }, "downloads": -1, "filename": "csv2opd-1.1.1.tar.gz", "has_sig": false, "md5_digest": "cea3d03781402956f3e05dda245abe5b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4480, "upload_time": "2019-05-05T13:45:54", "url": "https://files.pythonhosted.org/packages/d5/5a/935704836c556e3b5a6abd5262b45e57ece8a6eb8dc9f714248aa1cf6db4/csv2opd-1.1.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "fa5624d00334f5d72603889b98ecf3f3", "sha256": "bb7750dd4f0228f291b3ce8a30f84a61cc79845f69631399e0227fc6f6f76837" }, "downloads": -1, "filename": "csv2opd-1.1.1-py3-none-any.whl", "has_sig": false, "md5_digest": "fa5624d00334f5d72603889b98ecf3f3", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 17312, "upload_time": "2019-05-05T13:45:53", "url": "https://files.pythonhosted.org/packages/b7/f3/8d6b165c5e3db5ddb9a0357ed997a92d51c3e11a12bbddada91c11066ccb/csv2opd-1.1.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "cea3d03781402956f3e05dda245abe5b", "sha256": "1c6c69d1b88af47a9ccf680d06bc4a5105d3c4c1f64178ff086c03b494ec9df9" }, "downloads": -1, "filename": "csv2opd-1.1.1.tar.gz", "has_sig": false, "md5_digest": "cea3d03781402956f3e05dda245abe5b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4480, "upload_time": "2019-05-05T13:45:54", "url": "https://files.pythonhosted.org/packages/d5/5a/935704836c556e3b5a6abd5262b45e57ece8a6eb8dc9f714248aa1cf6db4/csv2opd-1.1.1.tar.gz" } ] }