This section highlights **venture-backed** and **company-supported** solutions from companies that sponsor FastAPI. These products provide **additional features** and **integrations** on top of high-quality generated SDKs.

By ✨ [**sponsoring FastAPI**](../help-fastapi.md#sponsor-the-author){.internal-link target=_blank} ✨, these companies help ensure the framework and its **ecosystem** remain healthy and **sustainable**.

dedicated tutorials for configuring one-way "Active-Passive" and two-way "Active-Active" bucket replication.

To replicate objects in a bucket to a destination bucket on a target site either in the same cluster or a different cluster, start by enabling [versioning](https://docs.min.io/community/minio-object-store/administration/object-management/object-versioning.html) for both source and destination buckets. Finally, the target site and the destination bucket need to be configured on the source...

/**
 * The AnalyzerSettings class is responsible for managing and configuring analyzers for different fields and languages.
 * It interacts with the OpenSearch client to create, update, and delete analyzer settings, as well as to retrieve
 * analyzer names and mappings.
 *
 * <p>Key functionalities include:</p>
 * <ul>
 *   <li>Initializing analyzer settings and mappings.</li>

   * or extract a variable, and put the suppression on that. However, a local variable typically
   * doesn't work: Because nullness analyses typically infer the nullness of local variables,
   * there's no way to assign a {@code @Nullable T} to a field {@code T foo;} and instruct the
   * analysis that that means "plain {@code T}" rather than the inferred type {@code @Nullable T}.

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

This same technique applies to `Query`, `Cookie`, and `Header`. 😎

///

## Cookies with a Pydantic Model { #cookies-with-a-pydantic-model }

# Keycloak Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

Keycloak is an open source Identity and Access Management solution aimed at modern applications and services, this document covers configuring Keycloak identity provider support with MinIO.

## Prerequisites

Configure and install keycloak server by following [Keycloak Installation Guide](https://www.keycloak.org/docs/latest/server_installation/#installing-the-software).

/**
 * A query parser that processes search queries and converts them to Lucene Query objects.
 * This class provides a flexible architecture using a chain of filters to process and transform
 * queries before they are parsed by the underlying Lucene query parser.
 *
 * <p>The parser supports configuration of default field, analyzer, wildcard settings,
 * and default operator. It also allows adding custom filters to modify query behavior.</p>

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

//// tab | Pydantic v2

- Kubernetes is now built with Go 1.19.6 ([#115832](https://github.com/kubernetes/kubernetes/pull/115832), [@cpanato](https://github.com/cpanato)) [SIG Release and Testing]

### Bug or Regression

So, let's review it from that simplified point of view:

* The user types the `username` and `password` in the frontend, and hits `Enter`.
* The frontend (running in the user's browser) sends that `username` and `password` to a specific URL in our API (declared with `tokenUrl="token"`).