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docs/en/docs/tutorial/handling-errors.md
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docs/en/docs/advanced/events.md
## Use Case Let's start with an example **use case** and then see how to solve it with this. Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖
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common-protos/k8s.io/api/admission/v1/generated.proto
optional k8s.io.apimachinery.pkg.apis.meta.v1.GroupVersionKind kind = 2; // Resource is the fully-qualified resource being requested (for example, v1.pods) optional k8s.io.apimachinery.pkg.apis.meta.v1.GroupVersionResource resource = 3; // SubResource is the subresource being requested, if any (for example, "status" or "scale") // +optional
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tests/test_tutorial/test_schema_extra_example/test_tutorial004_an_py310.py
from ...utils import needs_py310 @pytest.fixture(name="client") def get_client(): from docs_src.schema_extra_example.tutorial004_an_py310 import app client = TestClient(app) return client # Test required and embedded body parameters with no bodies sent @needs_py310 def test_post_body_example(client: TestClient): response = client.put( "/items/5", json={ "name": "Foo",
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okhttp/src/test/java/okhttp3/UrlComponentEncodingTester.kt
open fun encode(codePoint: Int): String { throw UnsupportedOperationException() } } enum class Component { USER { override fun urlString(value: String): String = "http://$value@example.com/" override fun encodedValue(url: HttpUrl): String = url.encodedUsername override operator fun set( builder: HttpUrl.Builder, value: String, ) {
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docs/en/docs/deployment/https.md
### Multiple Applications In the same server (or servers), there could be **multiple applications**, for example, other API programs or a database. Only one process can be handling the specific IP and port (the TLS Termination Proxy in our example) but the other applications/processes can be running on the server(s) too, as long as they don't try to use the same **combination of public IP and port**.
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docs/en/docs/tutorial/body-updates.md
* Convert the copied model to something that can be stored in your DB (for example, using the `jsonable_encoder`). * This is comparable to using the model's `.model_dump()` method again, but it makes sure (and converts) the values to data types that can be converted to JSON, for example, `datetime` to `str`. * Save the data to your DB. * Return the updated model. === "Python 3.10+"
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fastapi/security/oauth2.py
Read more about it in the [FastAPI docs for Simple OAuth2 with Password and Bearer](https://fastapi.tiangolo.com/tutorial/security/simple-oauth2/). ## Example ```python from typing import Annotated from fastapi import Depends, FastAPI from fastapi.security import OAuth2PasswordRequestForm app = FastAPI() @app.post("/login")
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docs/en/docs/tutorial/encoder.md
For example, if you need to store it in a database. For that, **FastAPI** provides a `jsonable_encoder()` function. ## Using the `jsonable_encoder` Let's imagine that you have a database `fake_db` that only receives JSON compatible data. For example, it doesn't receive `datetime` objects, as those are not compatible with JSON.
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docs/en/docs/how-to/configure-swagger-ui.md
FastAPI converts the configurations to **JSON** to make them compatible with JavaScript, as that's what Swagger UI needs. ## Disable Syntax Highlighting For example, you could disable syntax highlighting in Swagger UI. Without changing the settings, syntax highlighting is enabled by default: <img src="/img/tutorial/extending-openapi/image02.png">
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