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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_tutorial/test_header_params/test_tutorial003.py
@pytest.mark.parametrize( "path,headers,expected_status,expected_response", [ ("/items", None, 200, {"X-Token values": None}), ("/items", {"x-token": "foo"}, 200, {"X-Token values": ["foo"]}), ( "/items", [("x-token", "foo"), ("x-token", "bar")], 200, {"X-Token values": ["foo", "bar"]}, ), ], ) def test(path, headers, expected_status, expected_response):
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Jan 12 14:52:00 GMT 2024 - 4.1K bytes - Viewed (0) -
docs/en/docs/tutorial/path-params.md
By inheriting from `str` the API docs will be able to know that the values must be of type `string` and will be able to render correctly. Then create class attributes with fixed values, which will be the available valid values: ```Python hl_lines="1 6-9" {!../../../docs_src/path_params/tutorial005.py!} ``` !!! info
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fastapi/param_functions.py
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fastapi/utils.py
if use_type is None: use_type = create_model(original_type.__name__, __base__=original_type) cloned_types[original_type] = use_type for f in original_type.__fields__.values(): use_type.__fields__[f.name] = create_cloned_field( f, cloned_types=cloned_types ) new_field = create_response_field(name=field.name, type_=use_type)
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docs/en/docs/how-to/nosql-databases-couchbase.md
Here we'll see an example using **<a href="https://www.couchbase.com/" class="external-link" target="_blank">Couchbase</a>**, a <abbr title="Document here refers to a JSON object (a dict), with keys and values, and those values can also be other JSON objects, arrays (lists), numbers, strings, booleans, etc.">document</abbr> based NoSQL database. You can adapt it to any other NoSQL database like: * **MongoDB** * **Cassandra**
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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/zh/docs/tutorial/header-params.md
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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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