{
    "info": {
        "author": "Churin Andrey",
        "author_email": "aachurin@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Internet :: WWW/HTTP"
        ],
        "description": "<p align=\"center\">\n    <em>Generic peewee filters.</em>\n</p>\n\n---\n\n# Quickstart\n\nInstall peewee filters:\n\n```bash\n$ pip3 install peewee_generic_filters\n```\n\n\n```python\nimport peewee\nimport peewee_filters as filters\n\n\nclass Product(peewee.Model):\n    title = peewee.CharField()\n    description = peewee.CharField(null=True)\n    price = peewee.IntegerField()\n\n\nclass Filter(filters.FilterSet):\n    title = filters.Filter(operator=\"startswith\")\n    has_description = filters.MethodFilter(\"filter_description\")\n    price_min = filters.Filter(operator=\"ge\")\n\n    def filter_description(self, query, value: bool, **kwargs):    \n        return query.where(\n            Product.description.is_null(not value) | (\n                (Product.description != \"\") if value else (Product.description == \"\")\n            )\n        )\n\n    class Meta:\n        model = Product\n\n\nFilter({\"title\": \"foo\", \"has_description\": True}).apply(Product)\n```\n\nalso it's possible to create `FilterSet` without binding concrete model.  \n\n```python\nclass Filter(filters.FilterSet):\n    title = filters.CharFilter(operator=\"startswith\")\n    has_description = filters.MethodFilter(\"filter_description\")\n    price_min = filters.NumberFilter(operator=\"ge\")\n\n    def filter_description(self, query, value: bool, **kwargs):    \n        return query.where(\n            Product.description.is_null(not value) | (\n                (Product.description != \"\") if value else (Product.description == \"\")\n            )\n        )\n```\n\nIn this case it's possible to use a FilterSet for multiple similar models.\nBut it is much slower than using a FilterSet with an explicit model.   \n\n# Filters\n\n### CharFilter\nThis filter does simple character matches, used with `CharField` and `TextField`.\n\n### NumberFilter\nFilters based on a numerical value, used with `IntegerField`, `FloatField`, and `DecimalField`.\n\n### DateTimeFilter\nMatches on a date and time. Used with `DateTimeField`.\n\n### TimeFilter\nMatches on a time. Used with `TimeField`.\n\n### DateFilter\nMatches on a date. Used with `DateField` by default.\n\n### BooleanFilter\nThis filter matches a boolean, either `True` or `False`, used with `BooleanField`.\n\n### UUIDFilter\nThis filter matches an UUID, used with `BinaryUUIDField`.\n\nThe following are the arguments that apply to all filters:\n\n###### field_name\nThe name of the model field that is filtered against. \nIf this argument is not provided, it defaults the filter\u2019s attribute name on the `FilterSet` class.\nField names can traverse relationships by joining the related parts with separator (.). e.g., a product\u2019s manufacturer.name.\n\n###### description \nFilter description. Defaults to empty string.\n\n###### operator\nThe field lookup that should be performed in the filter call.\nShould be one of the following values: `eq`, `lt`, `gt`, `le`, `ge`, `ne`, `like`, `ilike`, `is_null`, `in`, `not_in`, `contains`, `startswith`, `endswith`, `regexp`, `iregexp`. \nDefaults to `eq`.\n\n###### method\nFor `MethodFilter` only.\nAn argument that tells the filter how to handle the queryset.\nIt can accept either a callable or the name of a method on the `FilterSet`. \nThe callable receives a `query`, the `field_name` of the model field to filter on, the `value` to filter with, and `context`.\nIt should return a filtered query. The parameter `value` of a callable should have annotation.\n\n# Special filters\n### SearchingFilter\nIs used for searching in multiple fields. It accepts one additional argument:\n\n######\n fields\nThe list of fields for searching.\n\n### OffsetFilter\nSpecify value for OFFSET clause. \n\n### LimitFilter\nSpecify value for LIMIT clause.\n\nIt accepts two additional arguments:\n\n###### default\nDefault value for LIMIT clause.\nDefaults to `100`.\n\n###### maximum\nMaximum value for LIMIT clause.\nDefaults to `None`.\n\n### OrderingFilter\nEnable queryset ordering. It accepts two additional arguments that are used to build the ordering choices:\n\n###### fields\nIs a mapping of {parameter name: model field name}. `fields` may also just be a list of strings. In this case, the field names simply double as the exposed parameter names.\n\n###### default\nDefault ordering.\n\n### SearchingFilter\nEnable queryset searching. It accepts one additional argument:\n\n###### fields\nIs a mapping of {model field name: operator}. `fields` may also just be a list of strings.\nIn this case, the operator is `contains`. \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/aachurin/peewee_filters",
        "keywords": "",
        "license": "BSD",
        "maintainer": "",
        "maintainer_email": "",
        "name": "peewee-generic-filters",
        "package_url": "https://pypi.org/project/peewee-generic-filters/",
        "platform": "",
        "project_url": "https://pypi.org/project/peewee-generic-filters/",
        "project_urls": {
            "Homepage": "https://github.com/aachurin/peewee_filters"
        },
        "release_url": "https://pypi.org/project/peewee-generic-filters/0.2.3/",
        "requires_dist": [
            "peewee"
        ],
        "requires_python": "",
        "summary": "Generic filters for peewee",
        "version": "0.2.3"
    },
    "last_serial": 5791646,
    "releases": {
        "0.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a83951119645714a89046408b49c837e",
                    "sha256": "1258cb5577d41eaa7484d73e22646903a90eb13de23e35c71b30b8c1fc817206"
                },
                "downloads": -1,
                "filename": "peewee_generic_filters-0.1.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "a83951119645714a89046408b49c837e",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8766,
                "upload_time": "2019-07-27T20:25:33",
                "url": "https://files.pythonhosted.org/packages/d4/0d/aca42c89bda9a2c7cd74ce94f21c1718d415bfd2e7c0632bdaf19efd4b3f/peewee_generic_filters-0.1.2-py3-none-any.whl"
            }
        ],
        "0.1.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "768377537eb3a62398ae3c0c1f302c2e",
                    "sha256": "24011c2900c6dca5886de9c0e7420da112a20fd109470d96f5f8cd021b77cf9c"
                },
                "downloads": -1,
                "filename": "peewee_generic_filters-0.1.4-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "768377537eb3a62398ae3c0c1f302c2e",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8816,
                "upload_time": "2019-07-28T17:15:23",
                "url": "https://files.pythonhosted.org/packages/14/39/aef01e10650ab07ed0796a4278826370b6af808279a7817db3350918872d/peewee_generic_filters-0.1.4-py3-none-any.whl"
            }
        ],
        "0.1.5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "2256ce1715d14ca8ca70a69d76f61f4c",
                    "sha256": "9a13d7590c69b7c3073b8156db77e015d2c4b0b66af35fdaf00bb66ab4223c2e"
                },
                "downloads": -1,
                "filename": "peewee_generic_filters-0.1.5-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "2256ce1715d14ca8ca70a69d76f61f4c",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8819,
                "upload_time": "2019-07-28T17:46:58",
                "url": "https://files.pythonhosted.org/packages/cf/f1/acdb9a6e0c0b4c4185bc3c37757b34c3399216c878dcf5f7df2512d57b5e/peewee_generic_filters-0.1.5-py3-none-any.whl"
            }
        ],
        "0.1.6": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "42d9ebff531a3e5dba6cbdfc127a13c1",
                    "sha256": "0544c08e8e903ef6c48ba59f0cd3da73ba45b532d2512a4fbfe933902e737514"
                },
                "downloads": -1,
                "filename": "peewee_generic_filters-0.1.6-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "42d9ebff531a3e5dba6cbdfc127a13c1",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8876,
                "upload_time": "2019-07-29T11:59:56",
                "url": "https://files.pythonhosted.org/packages/63/db/eb19a1420351e2815ceaa687fad8fdc6f27e1f8d32990b1047561ec76829/peewee_generic_filters-0.1.6-py3-none-any.whl"
            }
        ],
        "0.2.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e8cb98ca52bf8c8a92f21963ff152c10",
                    "sha256": "55de2b7271d663a825fec8bb3c10f7663dae4b7332ced85a707f7b88003b8f9c"
                },
                "downloads": -1,
                "filename": "peewee_generic_filters-0.2.0-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "e8cb98ca52bf8c8a92f21963ff152c10",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8394,
                "upload_time": "2019-08-02T19:56:59",
                "url": "https://files.pythonhosted.org/packages/c4/e9/5a18af80d4281f7dcd2965c213947a470415aa78ac38b4d1ac3957170b39/peewee_generic_filters-0.2.0-py3-none-any.whl"
            }
        ],
        "0.2.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "5f4480b241356dae10382c0dd45e4966",
                    "sha256": "ae77630fecdca7de810e45ed952e032e3bcdd95326be1ea179887f3094d2baff"
                },
                "downloads": -1,
                "filename": "peewee_generic_filters-0.2.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "5f4480b241356dae10382c0dd45e4966",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8424,
                "upload_time": "2019-08-07T05:30:58",
                "url": "https://files.pythonhosted.org/packages/b4/7a/e7cc05a1d6065d73f8d8b60e00648bb8ab7d3aaa883a77e0a096370b2387/peewee_generic_filters-0.2.1-py3-none-any.whl"
            }
        ],
        "0.2.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "3bcceec1f1086256882e7cf0fa44737d",
                    "sha256": "102011fd4fd5a368f0c6b69707b4a1cb90cee55b91e5f2c091ec374550e4331f"
                },
                "downloads": -1,
                "filename": "peewee_generic_filters-0.2.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "3bcceec1f1086256882e7cf0fa44737d",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8422,
                "upload_time": "2019-09-06T10:41:24",
                "url": "https://files.pythonhosted.org/packages/1c/7a/fd85c003a0b42c7e172cce85dec1b7d6e5467fa3aa9dfe883eec9ddba929/peewee_generic_filters-0.2.2-py3-none-any.whl"
            }
        ],
        "0.2.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e560f5d9ef5e6890fa2dd29b20804141",
                    "sha256": "df9f637a9ed0d1a06ecb339eb5076d2017e6684e944283b5db3aa2d0aed01af0"
                },
                "downloads": -1,
                "filename": "peewee_generic_filters-0.2.3-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "e560f5d9ef5e6890fa2dd29b20804141",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8428,
                "upload_time": "2019-09-06T11:13:56",
                "url": "https://files.pythonhosted.org/packages/b9/9a/151e33e10013de2c97401c8defffeac717f7dca8ea8ee3a28f2a46fc4dd6/peewee_generic_filters-0.2.3-py3-none-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "e560f5d9ef5e6890fa2dd29b20804141",
                "sha256": "df9f637a9ed0d1a06ecb339eb5076d2017e6684e944283b5db3aa2d0aed01af0"
            },
            "downloads": -1,
            "filename": "peewee_generic_filters-0.2.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e560f5d9ef5e6890fa2dd29b20804141",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 8428,
            "upload_time": "2019-09-06T11:13:56",
            "url": "https://files.pythonhosted.org/packages/b9/9a/151e33e10013de2c97401c8defffeac717f7dca8ea8ee3a28f2a46fc4dd6/peewee_generic_filters-0.2.3-py3-none-any.whl"
        }
    ]
}