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zWq$jN@BjS2{KWr{Z}tD=Pydantic models with all their power and benefits. + +## Import Pydantic's `BaseModel` + +First, you need to import `BaseModel` from `pydantic`: + +```Python hl_lines="2" +{!./tutorial/src/body/tutorial001.py!} +``` + +## Create your data model + +Then you declare your data model as a class that inherits from `BaseModel`. + +Use standard Python types for all the attributes: + +```Python hl_lines="5 6 7 8 9" +{!./tutorial/src/body/tutorial001.py!} +``` + +The same as when declaring query parameters, when a model attribute has a default value, it is not required. Otherwise, it is required. Use `None` to make it just optional. + +For example, this model above declares a JSON "`object`" (or Python `dict`) like: + +```JSON +{ + "name": "Foo", + "description": "An optional description", + "price": 45.2, + "tax": 3.5 +} +``` + +...as `description` and `tax` are optional (with a default value of `None`), this JSON "`object`" would also be valid: + +```JSON +{ + "name": "Foo", + "price": 45.2 +} +``` + +## Declare it as a parameter + +To add it to your endpoint, declare it the same way you declared path and query parameters: + +```Python hl_lines="16" +{!./tutorial/src/body/tutorial001.py!} +``` + +...and declare its type as the model you created, `Item`. + +## Results + +With just that Python type declaration, **FastAPI** will: + +* Read the body of the request as JSON. +* Convert the corresponding types (if needed). +* Validate the data. + * If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data. +* Give you the received data in the parameter `item`. + * As you declared it in the function to be of type `Item`, you will also have all the editor support (completion, etc) for all of the attributes and their types. +* Generate JSON Schema definitions for your model, you can also use them anywhere else you like if it makes sense for your project. +* Those schemas will be part of the generated OpenAPI schema, and used by the automatic documentation UIs. + +## Automatic docs + +The JSON Schemas of your models will be part of your OpenAPI generated schema, and will be shown in the interactive API docs: + + + +And will be also used in the API docs inside each endpoint that needs them: + + + +## Editor support + +In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if your received a `dict` instead of a Pydantic model): + + + +You also get error checks for incorrect type operations: + + + +This is not by chance, the whole framework was built around that desing. + +And it was thoroughly tested at the design phase, before any implementation, to ensure it would work with all the editors. + +There were even some changes to Pydantic itself to support this. + +The previous screenshots were taken with Visual Studio Code. + +But you would get the same editor support with PyCharm and most of the other Python editors: + + + + +## Use the model + +Inside of the function, you can access all the attributes of the model object directly: + +```Python hl_lines="19" +{!./tutorial/src/body/tutorial002.py!} +``` + +## Request body + path parameters + +You can declare path parameters and body requests at the same time. + +**FastAPI** will recognize that the function parameters that match path parameters should be **taken from the path**, and that function parameters that are declared to be Pydantic models should be **taken from the request body**. + +```Python hl_lines="15 16" +{!./tutorial/src/body/tutorial003.py!} +``` + +## Request body + path + query parameters + +You can also declare **body**, **path** and **query** parameters, all at the same time. + +**FastAPI** will recognize each of them and take the data from the correct place. + +```Python hl_lines="16" +{!./tutorial/src/body/tutorial004.py!} +``` + +The function parameters will be recognized as follows: + +* If the parameter is also declared in the **path**, it will be used as a path parameter. +* If the parameter is of a **singular type** (like `int`, `float`, `str`, `bool`, etc) it will be interpreted as a **query** parameter. +* If the parameter is declared to be of the type of a **Pydantic model**, it will be interpreted as a request **body**. \ No newline at end of file diff --git a/docs/tutorial/query-params.md b/docs/tutorial/query-params.md index e58fe2749..6109cb742 100644 --- a/docs/tutorial/query-params.md +++ b/docs/tutorial/query-params.md @@ -131,7 +131,7 @@ If you don't want to add a specific value but just make it optional, set the def But when you want to make a query parameter required, you can just do not declare any default value: -```Python hl_lines="6 8" +```Python hl_lines="6 7" {!./tutorial/src/query-params/tutorial005.py!} ``` diff --git a/docs/tutorial/src/all/tutorial022.py b/docs/tutorial/src/all/tutorial022.py index 3f4f53265..1165fd7a0 100644 --- a/docs/tutorial/src/all/tutorial022.py +++ b/docs/tutorial/src/all/tutorial022.py @@ -1,5 +1,5 @@ from fastapi import Body, FastAPI -from pydantic import BaseModel, Schema +from pydantic import BaseModel app = FastAPI() diff --git a/docs/tutorial/src/query-params/tutorial005.py b/docs/tutorial/src/query-params/tutorial005.py index 62da63fc7..0979ad390 100644 --- a/docs/tutorial/src/query-params/tutorial005.py +++ b/docs/tutorial/src/query-params/tutorial005.py @@ -4,8 +4,6 @@ app = FastAPI() @app.get("/users/{user_id}/items/{item_id}") -async def read_user_item( - user_id: int, item_id: str, needy: str -): +async def read_user_item(user_id: int, item_id: str, needy: str): item = {"item_id": item_id, "owner_id": user_id, "needy": needy} return item diff --git a/fastapi/dependencies/utils.py b/fastapi/dependencies/utils.py index d757f6b1f..ba1e5efee 100644 --- a/fastapi/dependencies/utils.py +++ b/fastapi/dependencies/utils.py @@ -254,7 +254,11 @@ def request_params_to_args( if value is None: if field.required: errors.append( - ErrorWrapper(MissingError(), loc=(schema.in_.value, field.alias), config=BaseConfig) + ErrorWrapper( + MissingError(), + loc=(schema.in_.value, field.alias), + config=BaseConfig, + ) ) else: values[field.name] = deepcopy(field.default) diff --git a/mkdocs.yml b/mkdocs.yml index 1e4b9000a..089fe9492 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -18,9 +18,10 @@ nav: - Features: 'features.md' - Tutorial: - Tutorial Intro: 'tutorial/intro.md' - - First steps: 'tutorial/first-steps.md' + - First Steps: 'tutorial/first-steps.md' - Path Parameters: 'tutorial/path-params.md' - Query Parameters: 'tutorial/query-params.md' + - Request Body: 'tutorial/body.md' - Concurrency and async / await: 'async.md' - Deployment: 'deployment.md'