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docs/en/docs/tutorial/response-model.md
```Python hl_lines="24" {!> ../../../docs_src/response_model/tutorial004.py!} ``` and those default values won't be included in the response, only the values actually set. So, if you send a request to that *path operation* for the item with ID `foo`, the response (not including default values) will be: ```JSON { "name": "Foo", "price": 50.2 } ``` !!! info
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tests/test_tuples.py
response = client.post("/tuple-form/", data={"values": ("1", "2")}) assert response.status_code == 200, response.text assert response.json() == [1, 2] def test_tuple_form_invalid(): response = client.post("/tuple-form/", data={"values": ("1", "2", "3")}) assert response.status_code == 422, response.text response = client.post("/tuple-form/", data={"values": ("1")})
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Jul 07 17:12:13 GMT 2023 - 11.8K bytes - Viewed (0) -
docs/en/docs/python-types.md
```Python hl_lines="1" {!../../../docs_src/python_types/tutorial005.py!} ``` ### Generic types with type parameters There are some data structures that can contain other values, like `dict`, `list`, `set` and `tuple`. And the internal values can have their own type too. These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types.
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docs/en/docs/tutorial/first-steps.md
### Step 5: return the content ```Python hl_lines="8" {!../../../docs_src/first_steps/tutorial001.py!} ``` You can return a `dict`, `list`, singular values as `str`, `int`, etc. You can also return Pydantic models (you'll see more about that later).
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docs/en/docs/tutorial/query-params-str-validations.md
## Query parameter list / multiple values When you define a query parameter explicitly with `Query` you can also declare it to receive a list of values, or said in other way, to receive multiple values. For example, to declare a query parameter `q` that can appear multiple times in the URL, you can write: === "Python 3.10+"
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fastapi/dependencies/utils.py
) values.update(path_values) values.update(query_values) values.update(header_values) values.update(cookie_values) errors += path_errors + query_errors + header_errors + cookie_errors if dependant.body_params: ( body_values, body_errors, ) = await request_body_to_args( # body_params checked above
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docs/uk/docs/tutorial/body.md
## Без Pydantic
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docs/en/docs/tutorial/dependencies/index.md
* An optional query parameter `skip` that is an `int`, and by default is `0`. * An optional query parameter `limit` that is an `int`, and by default is `100`. And then it just returns a `dict` containing those values. !!! info FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0. If you have an older version, you would get errors when trying to use `Annotated`.
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docs/en/docs/how-to/sql-databases-peewee.md
The `ContextVar` has to be created at the top of the module, like: ```Python some_var = ContextVar("some_var", default="default value") ``` To set a value used in the current "context" (e.g. for the current request) use: ```Python some_var.set("new value") ``` To get a value anywhere inside of the context (e.g. in any part handling the current request) use: ```Python some_var.get() ```
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fastapi/openapi/utils.py
# over non-required definitions all_parameters.update(required_parameters) operation["parameters"] = list(all_parameters.values()) if method in METHODS_WITH_BODY: request_body_oai = get_openapi_operation_request_body( body_field=route.body_field, schema_generator=schema_generator,
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