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fastapi/params.py
from ._compat import PYDANTIC_V2, PYDANTIC_VERSION, Undefined _Unset: Any = Undefined class ParamTypes(Enum): query = "query" header = "header" path = "path" cookie = "cookie" class Param(FieldInfo): in_: ParamTypes def __init__( self, default: Any = Undefined, *, default_factory: Union[Callable[[], Any], None] = _Unset,
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docs/en/docs/tutorial/first-steps.md
#### API "schema" In this case, <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> is a specification that dictates how to define a schema of your API. This schema definition includes your API paths, the possible parameters they take, etc. #### Data "schema" The term "schema" might also refer to the shape of some data, like a JSON content.
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docs/en/docs/alternatives.md
But it was created before there existed Python type hints. So, to define every <abbr title="the definition of how data should be formed">schema</abbr> you need to use specific utils and classes provided by Marshmallow. !!! check "Inspired **FastAPI** to" Use code to define "schemas" that provide data types and validation, automatically.
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docs/en/docs/advanced/generate-clients.md
``` === "Python 3.8+" ```Python hl_lines="9-11 14-15 18 19 23" {!> ../../../docs_src/generate_clients/tutorial001.py!} ``` Notice that the *path operations* define the models they use for request payload and response payload, using the models `Item` and `ResponseMessage`. ### API Docs
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fastapi/security/oauth2.py
) else: return None # pragma: nocover return param class SecurityScopes: """ This is a special class that you can define in a parameter in a dependency to obtain the OAuth2 scopes required by all the dependencies in the same chain. This way, multiple dependencies can have different scopes, even when used in the
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docs/em/docs/tutorial/query-params-str-validations.md
{!> ../../../docs_src/query_params_str_validations/tutorial003_py310.py!} ``` ## 🚮 🥔 🧬 👆 💪 🔬 <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">🥔 🧬</abbr> 👈 🔢 🔜 🏏: === "🐍 3️⃣.6️⃣ & 🔛" ```Python hl_lines="11" {!> ../../../docs_src/query_params_str_validations/tutorial004.py!} ```
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docs/en/docs/tutorial/response-model.md
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docs/en/docs/python-types.md
If you can use the **latest versions of Python**, use the examples for the latest version, those will have the **best and simplest syntax**, for example, "**Python 3.10+**". #### List For example, let's define a variable to be a `list` of `str`. === "Python 3.9+" Declare the variable, with the same colon (`:`) syntax. As the type, put `list`.
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docs/en/docs/tutorial/security/oauth2-jwt.md
Create a variable `ALGORITHM` with the algorithm used to sign the JWT token and set it to `"HS256"`. Create a variable for the expiration of the token. Define a Pydantic Model that will be used in the token endpoint for the response. Create a utility function to generate a new access token. === "Python 3.10+" ```Python hl_lines="6 12-14 28-30 78-86"
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docs/en/docs/deployment/concepts.md
* **Cloud services** that handle this for you * The cloud service will probably **handle replication for you**. It would possibly let you define **a process to run**, or a **container image** to use, in any case, it would most probably be **a single Uvicorn process**, and the cloud service would be in charge of replicating it. !!! tip
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