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Mapping"],"sub_categories":[],"readme":"\u003ch1 style=\"text-align: center;\"\u003e\n    Djantic\n\u003c/h1\u003e\n\u003cp style=\"text-align: center;\"\u003e\n    \u003cem\u003e\u003ca href=\"https://pydantic-docs.helpmanual.io/\"\u003ePydantic\u003c/a\u003e model support for \u003ca href=\"https://www.djangoproject.com/\"\u003e Django\u003c/a\u003e\u003c/em\u003e\n\u003c/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\n    \u003ca href=\"https://github.com/jordaneremieff/djantic/actions/workflows/test.yml\"\u003e\n    \u003cimg src=\"https://img.shields.io/github/workflow/status/jordaneremieff/djantic/Test/main\" alt=\"GitHub Workflow Status (Test)\" \u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://pypi.org/project/djantic\" target=\"_blank\"\u003e\n        \u003cimg src=\"https://img.shields.io/pypi/v/djantic\" alt=\"PyPi package\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://pypi.org/project/djantic\" target=\"_blank\"\u003e\n        \u003cimg src=\"https://img.shields.io/pypi/pyversions/djantic\" alt=\"Supported Python versions\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://pypi.org/project/djantic\" target=\"_blank\"\u003e\n        \u003cimg src=\"https://img.shields.io/pypi/djversions/djantic?label=django\" alt=\"Supported Django versions\"\u003e\n    \u003c/a\u003e\n\u003c/p\u003e\n\n---\n\n**Documentation**: https://jordaneremieff.github.io/djantic/\n\n---\n\nDjantic is a library that provides a configurable utility class for automatically creating a Pydantic model instance for any Django model class. It is intended to support all of the underlying Pydantic model functionality such as JSON schema generation and introduces custom behaviour for exporting Django model instance data.\n\n## Quickstart\n\nInstall using pip:\n\n```shell\npip install djantic\n```\n\nCreate a model schema:\n\n```python\nfrom users.models import User\n\nfrom djantic import ModelSchema\n\nclass UserSchema(ModelSchema):\n    class Config:\n        model = User\n        \nprint(UserSchema.schema())\n```\n\n**Output:**\n\n```python\n{\n        \"title\": \"UserSchema\",\n        \"description\": \"A user of the application.\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"profile\": {\"title\": \"Profile\", \"description\": \"None\", \"type\": \"integer\"},\n            \"id\": {\"title\": \"Id\", \"description\": \"id\", \"type\": \"integer\"},\n            \"first_name\": {\n                \"title\": \"First Name\",\n                \"description\": \"first_name\",\n                \"maxLength\": 50,\n                \"type\": \"string\",\n            },\n            \"last_name\": {\n                \"title\": \"Last Name\",\n                \"description\": \"last_name\",\n                \"maxLength\": 50,\n                \"type\": \"string\",\n            },\n            \"email\": {\n                \"title\": \"Email\",\n                \"description\": \"email\",\n                \"maxLength\": 254,\n                \"type\": \"string\",\n            },\n            \"created_at\": {\n                \"title\": \"Created At\",\n                \"description\": \"created_at\",\n                \"type\": \"string\",\n                \"format\": \"date-time\",\n            },\n            \"updated_at\": {\n                \"title\": \"Updated At\",\n                \"description\": \"updated_at\",\n                \"type\": \"string\",\n                \"format\": \"date-time\",\n            },\n        },\n        \"required\": [\"first_name\", \"email\", \"created_at\", \"updated_at\"],\n    }\n```\n\nSee https://pydantic-docs.helpmanual.io/usage/models/ for more.\n\n### Loading and exporting model instances\n\nUse the `from_orm` method on the model schema to load a Django model instance for \u003ca href=\"https://pydantic-docs.helpmanual.io/usage/exporting_models/\"\u003eexport\u003c/a\u003e:\n\n```python\nuser = User.objects.create(\n    first_name=\"Jordan\", \n    last_name=\"Eremieff\", \n    email=\"jordan@eremieff.com\"\n)\n\nuser_schema = UserSchema.from_orm(user)\nprint(user_schema.json(indent=2))\n```\n\n**Output:**\n\n```json\n{\n    \"profile\": null,\n    \"id\": 1,\n    \"first_name\": \"Jordan\",\n    \"last_name\": \"Eremieff\",\n    \"email\": \"jordan@eremieff.com\",\n    \"created_at\": \"2020-08-15T16:50:30.606345+00:00\",\n    \"updated_at\": \"2020-08-15T16:50:30.606452+00:00\"\n}\n```\n\n### Using multiple level relations\n\nDjantic supports multiple level relations. This includes foreign keys, many-to-many, and one-to-one relationships.\n\nConsider the following example Django model and Djantic model schema definitions for a number of related database records:\n\n```python\n# models.py\nfrom django.db import models\n\nclass OrderUser(models.Model):\n    email = models.EmailField(unique=True)\n\n\nclass OrderUserProfile(models.Model):\n    address = models.CharField(max_length=255)\n    user = models.OneToOneField(OrderUser, on_delete=models.CASCADE, related_name='profile')\n\n\nclass Order(models.Model):\n    total_price = models.DecimalField(max_digits=8, decimal_places=5, default=0)\n    user = models.ForeignKey(\n        OrderUser, on_delete=models.CASCADE, related_name=\"orders\"\n    )\n\n\nclass OrderItem(models.Model):\n    price = models.DecimalField(max_digits=8, decimal_places=5, default=0)\n    quantity = models.IntegerField(default=0)\n    order = models.ForeignKey(\n        Order, on_delete=models.CASCADE, related_name=\"items\"\n    )\n\n\nclass OrderItemDetail(models.Model):\n    name = models.CharField(max_length=30)\n    order_item = models.ForeignKey(\n        OrderItem, on_delete=models.CASCADE, related_name=\"details\"\n    )\n```\n\n```python\n# schemas.py\nfrom djantic import ModelSchema\n\nfrom orders.models import OrderItemDetail, OrderItem, Order, OrderUserProfile\n\n\nclass OrderItemDetailSchema(ModelSchema):\n    class Config:\n        model = OrderItemDetail\n\nclass OrderItemSchema(ModelSchema):\n    details: List[OrderItemDetailSchema]\n\n    class Config:\n        model = OrderItem\n\nclass OrderSchema(ModelSchema):\n    items: List[OrderItemSchema]\n\n    class Config:\n        model = Order\n\nclass OrderUserProfileSchema(ModelSchema):\n    class Config:\n        model = OrderUserProfile\n\nclass OrderUserSchema(ModelSchema):\n    orders: List[OrderSchema]\n    profile: OrderUserProfileSchema\n```\n\nNow let's assume you're interested in exporting the order and profile information for a particular user into a JSON format that contains the details accross all of the related item objects:\n\n```python\nuser = OrderUser.objects.first()\nprint(OrderUserSchema.from_orm(user).json(ident=4))\n```\n\n**Output:**\n```json\n{\n    \"profile\": {\n        \"id\": 1,\n        \"address\": \"\",\n        \"user\": 1\n    },\n    \"orders\": [\n        {\n            \"items\": [\n                {\n                    \"details\": [\n                        {\n                            \"id\": 1,\n                            \"name\": \"\",\n                            \"order_item\": 1\n                        }\n                    ],\n                    \"id\": 1,\n                    \"price\": 0.0,\n                    \"quantity\": 0,\n                    \"order\": 1\n                }\n            ],\n            \"id\": 1,\n            \"total_price\": 0.0,\n            \"user\": 1\n        }\n    ],\n    \"id\": 1,\n    \"email\": \"\"\n}\n```\n\nThe model schema definitions are composable and support customization of the output according to the auto-generated fields and any additional annotations.\n\n### Including and excluding fields\n\nThe fields exposed in the model instance may be configured using two options: `include` and `exclude`. These represent iterables that should contain a list of field name strings. Only one of these options may be set at the same time, and if neither are set then the default behaviour is to include all of the fields from the Django model.\n\nFor example, to include all of the fields from a user model \u003ci\u003eexcept\u003c/i\u003e a field named `email_address`, you would use the `exclude` option:\n\n```python\nclass UserSchema(ModelSchema):\n    class Config:\n        exclude = [\"email_address\"]\n```\n\nIn addition to this, you may also limit the fields to \u003ci\u003eonly\u003c/i\u003e include annotations from the model schema class by setting the `include` option to a special string value: `\"__annotations__\"`.\n\n```python\nclass ProfileSchema(ModelSchema):\n        website: str\n\n        class Config:\n            model = Profile\n            include = \"__annotations__\"\n\n    assert ProfileSchema.schema() == {\n        \"title\": \"ProfileSchema\",\n        \"description\": \"A user's profile.\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"website\": {\n                \"title\": \"Website\",\n                \"type\": \"string\"\n            }\n        },\n        \"required\": [\n            \"website\"\n        ]\n    }\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjordaneremieff%2Fdjantic","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjordaneremieff%2Fdjantic","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjordaneremieff%2Fdjantic/lists"}