Anschließend können Sie diese benutzerdefinierte Funktion als Parameter `generate_unique_id_function` an **FastAPI** übergeben:

=== "Python 3.9+"

    ```Python hl_lines="6-7  10"
    {!> ../../../docs_src/generate_clients/tutorial003_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="8-9  12"
    {!> ../../../docs_src/generate_clients/tutorial003.py!}
    ```

frontend-app@1.0.0 generate-client /home/user/code/frontend-app
> openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios
```

</div>

👈 📋 🔜 🏗 📟 `./src/client` &amp; 🔜 ⚙️ `axios` (🕸 🇺🇸🔍 🗃) 🔘.

### 🔄 👅 👩‍💻 📟

🔜 👆 💪 🗄 &amp; ⚙️ 👩‍💻 📟, ⚫️ 💪 👀 💖 👉, 👀 👈 👆 🤚 ✍ 👩‍🔬:

<img src="/img/tutorial/generate-clients/image02.png">

👆 🔜 🤚 ✍ 🚀 📨:

frontend-app@1.0.0 generate-client /home/user/code/frontend-app
> openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios
```

</div>

此命令将在 `./src/client` 中生成代码，并将在其内部使用 `axios`（前端HTTP库）。

### 尝试客户端代码

现在您可以导入并使用客户端代码，它可能看起来像这样，请注意，您可以为这些方法使用自动补全：

<img src="/img/tutorial/generate-clients/image02.png">

您还将自动补全要发送的数据：

<img src="/img/tutorial/generate-clients/image03.png">

    {!> ../../../docs_src/generate_clients/tutorial002_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="23  28  36"
    {!> ../../../docs_src/generate_clients/tutorial002.py!}
    ```

### Generate a TypeScript Client with Tags

If you generate a client for a FastAPI app using tags, it will normally also separate the client code based on the tags.

        readmeTemplates.convention(layout.projectDirectory.dir("src/samples/readme-templates"))
        target.convention(layout.buildDirectory.dir("generated-samples/$buildInitType" + if (modularizationOption.isMulti()) "-with-libraries" else ""))
        type = buildInitType
        modularization = modularizationOption
    }
    samples.publishedSamples.create(sampleName) {

{!../../../docs_src/extending_openapi/tutorial001.py!}
```

### Cache the OpenAPI schema

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

```Python hl_lines="13-14  25-26"

import org.jetbrains.kotlin.fir.checkers.generator.diagnostics.JVM_DIAGNOSTICS_LIST
import java.nio.file.Paths
import org.jetbrains.kotlin.analysis.api.fir.generator.DiagnosticClassGenerator.generate
import org.jetbrains.kotlin.fir.builder.SYNTAX_DIAGNOSTIC_LIST
import org.jetbrains.kotlin.fir.checkers.generator.diagnostics.JS_DIAGNOSTICS_LIST

## Develop and verify

After you make a change, you can run `mvn clean teamcity-configs:generate` to generate and verify the generated TeamCity configuration XMLs.

You also need to run `mvn clean verify` with Java 8 before committing changes.

istioctl profile dump default > 1.yaml
istioctl profile dump demo > 2.yaml
istioctl profile diff 1.yaml 2.yaml

# show the differences in the generated manifests between the default profile and a customized install
istioctl manifest generate > 1.yaml
istioctl manifest generate -f samples/pilot-k8s.yaml > 2.yaml
istioctl manifest diff 1.yam1 2.yaml
```

The profile dump sub-command supports a couple of useful flags:

    - [install](../operator/cmd/mesh/install.go): the install subcommand is used to generate an Istio install manifest and apply it to a cluster.
    - [diff](../operator/cmd/mesh/manifest-diff.go): the diff subcommand is used to compare manifest from two files or directories.