{ "info": { "author": "Will Kahn-Greene", "author_email": "willg@bluesock.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Web Environment", "Framework :: Django", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "========\n README\n========\n\neadred is a Django-app for generating sample data.\n\nWhy? Here are the use cases we're solving:\n\n**Use Case 1: Contributors**\n\n Mildred wants to contribute to your Django project, but your\n Django project is non-trivial and out of the box it's not very\n usable because it needs data.\n\n However, you're using eadred, so in your setup documentation, you\n have a one-liner that generates all the sample data Mildred needs\n to start hacking immediately.\n\n**Use Case 2: Bootstrapping**\n\n Willhelm wants to set up an instance of your Django project. It\n requires certain non-trivial initial data to be in place before it\n works.\n\n However, you're using eadred, so in your setup documentation, you\n have a one-liner that generates all the initial data needed.\n\n**Use Case 3: Large amounts of random data**\n\n Phylida is a hacker on your Django project and trying to fix bugs\n with a section of code that requires large amounts of data---say\n it's one of those things that graphs data sets or something.\n\n You're using eadred, so it's a one-liner to generate a large set\n of initial data.\n\n\n\"Wait, use cases 1 and 2 are easily solved with Django and fixtures!\"\n\nI think fixtures are good for specific use cases where your models\naren't changing and you have some contributor who likes entering in\ndata to build the initial fixtures. Having said that, I don't use\nfixtures.\n\neadred allows you to programmatically generate the data using model\nmakers, factories, fixtures, random seeds---whatever your needs are.\n\nAdditionally, eadred provides library functions to make generating\ndata easier.\n\n\nProject details\n===============\n\nCode:\n http://github.com/willkg/django-eadred\n\nDocumentation:\n http://django-eadred.rtfd.org/\n\nIssue tracker:\n https://github.com/willkg/django-eadred/issues\n\nLicense:\n BSD 3-clause; see LICENSE file", "description_content_type": null, "docs_url": null, "download_url": null, "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/willkg/django-eadred", "keywords": null, "license": "BSD", "maintainer": null, "maintainer_email": null, "name": "eadred", "package_url": "https://pypi.org/project/eadred/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/eadred/", "project_urls": { "Homepage": "https://github.com/willkg/django-eadred" }, "release_url": "https://pypi.org/project/eadred/0.3/", "requires_dist": null, "requires_python": null, "summary": "Django app for generating sample data", "version": "0.3" }, "last_serial": 1062495, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "3a468ae0e2346286ef81e141e851882d", "sha256": "14881f9f4581570337e05ad3f47bf16f7ee24fc72c7afb8b7868cecf373a0031" }, "downloads": -1, "filename": "eadred-0.1.tar.gz", "has_sig": false, "md5_digest": "3a468ae0e2346286ef81e141e851882d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 13198, "upload_time": "2012-09-29T00:43:14", "url": "https://files.pythonhosted.org/packages/77/cb/fe9f675d77fc1fc55614ca0cf9ff61f6423e5c27d6eb8d63a6b728b2dc90/eadred-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "42c930f02f66f0d55d3d207a918f95e0", "sha256": "97628cc8b82c0c2fa951e817e838113d2941ff07dcf6c53ee50339ebac937f93" }, "downloads": -1, "filename": "eadred-0.2.tar.gz", "has_sig": false, "md5_digest": "42c930f02f66f0d55d3d207a918f95e0", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 16109, "upload_time": "2013-02-16T19:09:27", "url": "https://files.pythonhosted.org/packages/4c/8c/ff805d2864e6e7dcc9979db7b56d30f329ea0d46e68c5e1fd09e3c506652/eadred-0.2.tar.gz" } ], "0.3": [ { "comment_text": "", "digests": { "md5": "9e1f709bcad9e6656b361e1d4fdfe238", "sha256": "88e7a4c03683afb3c1b3fed06381e478f619f1e7f9a820bb47abbf7f925d488b" }, "downloads": -1, "filename": "eadred-0.3-py2-none-any.whl", "has_sig": false, "md5_digest": "9e1f709bcad9e6656b361e1d4fdfe238", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 9865, "upload_time": "2014-04-16T16:19:13", "url": "https://files.pythonhosted.org/packages/cc/e0/bdcb8c22fe6d777309c1875ea05337a1e90132b8357f585920e4c9509d17/eadred-0.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "63a1caf6beffbe1bcfdace725dc79bbf", "sha256": "e28f931ee075469cf9c0fcd351f7801ea0aa6d788d01cdbe839e2ab356b8ca36" }, "downloads": -1, "filename": "eadred-0.3.tar.gz", "has_sig": false, "md5_digest": "63a1caf6beffbe1bcfdace725dc79bbf", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18280, "upload_time": "2014-04-16T16:19:16", "url": "https://files.pythonhosted.org/packages/ce/fa/a294c65609b837b9a15ef57fd01ab436a64cbec6da2857b6bf84300b5f3b/eadred-0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9e1f709bcad9e6656b361e1d4fdfe238", "sha256": "88e7a4c03683afb3c1b3fed06381e478f619f1e7f9a820bb47abbf7f925d488b" }, "downloads": -1, "filename": "eadred-0.3-py2-none-any.whl", "has_sig": false, "md5_digest": "9e1f709bcad9e6656b361e1d4fdfe238", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 9865, "upload_time": "2014-04-16T16:19:13", "url": "https://files.pythonhosted.org/packages/cc/e0/bdcb8c22fe6d777309c1875ea05337a1e90132b8357f585920e4c9509d17/eadred-0.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "63a1caf6beffbe1bcfdace725dc79bbf", "sha256": "e28f931ee075469cf9c0fcd351f7801ea0aa6d788d01cdbe839e2ab356b8ca36" }, "downloads": -1, "filename": "eadred-0.3.tar.gz", "has_sig": false, "md5_digest": "63a1caf6beffbe1bcfdace725dc79bbf", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18280, "upload_time": "2014-04-16T16:19:16", "url": "https://files.pythonhosted.org/packages/ce/fa/a294c65609b837b9a15ef57fd01ab436a64cbec6da2857b6bf84300b5f3b/eadred-0.3.tar.gz" } ] }