* Dependencylerin bile dependencies'i olabiliyor, FastAPI bunun  için **graph of "dependency"** yaratıyor.
* Hepsi **otomatik olarak** FastAPI tarafından hallediliyor.

import com.google.common.base.Splitter;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Lists;
import com.google.common.graph.SuccessorsFunction;
import com.google.common.graph.Traverser;
import com.google.common.hash.HashCode;
import com.google.common.hash.HashFunction;
import com.google.errorprone.annotations.CanIgnoreReturnValue;

   * Finalizer directly with no problems.
   *
   * If this library is loaded in an application class loader, it's important that Finalizer not
   * have a strong reference back to the class loader. Otherwise, you could have a graph like this:
   *
   * Finalizer Thread runs instance of -> Finalizer.class loaded by -> Application class loader
   * which loaded -> ReferenceMap.class which has a static -> FinalizableReferenceQueue instance
   *

 * <p>
 * Since Resolver 2.0 this class offers access to various components via public getters, and allows even partial object
 * graph construction.
 * <p>
 * Extend this class {@code createXXX()} methods and override to customize, if needed. The contract of this class makes

Da wir für unsere Anwendung einen Proxy mit dem Pfadpräfix `/api/v1` haben, muss das Frontend das OpenAPI-Schema unter `/api/v1/openapi.json` abrufen.

```mermaid
graph LR

browser("Browser")
proxy["Proxy auf http://0.0.0.0:9999/api/v1/app"]
server["Server auf http://127.0.0.1:8000/app"]

browser --> proxy
proxy --> server
```

/// tip | "Tipp"

因此， （运行在浏览器中的）前端会尝试访问 `/openapi.json`，但没有办法获取 OpenAPI 概图。

这是因为应用使用了以 `/api/v1` 为路径前缀的代理，前端要从 `/api/v1/openapi.json`  中提取 OpenAPI 概图。

```mermaid
graph LR

browser("Browser")
proxy["Proxy on http://0.0.0.0:9999/api/v1/app"]
server["Server on http://127.0.0.1:8000/app"]

browser --> proxy
proxy --> server
```

/// tip | "提示"

 *         .catching(RpcException.class, e -> false, directExecutor());
 * }</pre>
 *
 * <h3>Alternatives</h3>
 *
 * <h4>Frameworks</h4>
 *
 * <p>When chaining together a graph of asynchronous operations, you will often find it easier to
 * use a framework. Frameworks automate the process, often adding features like monitoring,
 * debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>

*   [Python license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/nn.py#L1)
*   [Java license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/Graph.java#L1)
*   [Go license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/go/operation.go#L1)

Below shows an example outbound request. The "target" path is what the client sends, while the "actual" path is the real network flow after redirection.

```mermaid
graph LR
    subgraph Client Node
        Client
        CZ["Ztunnel"]
    end
    subgraph Server Node
        Server
        SZ["Ztunnel"]
    end
    Client--Plain-->CZ

 * <p>
 * Since Resolver 2.0 this class offers access to various components via public getters, and allows even partial object
 * graph construction.
 * <p>
 * Extend this class {@code createXXX()} methods and override to customize, if needed. The contract of this class makes