import java.util.ServiceLoader;
import java.util.function.Function;

import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.annotations.Nullable;
import org.apache.maven.api.services.model.RootLocator;
import org.apache.maven.cli.logging.Slf4jConfiguration;
import org.apache.maven.execution.MavenExecutionRequest;
import org.codehaus.plexus.interpolation.AbstractValueSource;

import java.util.stream.Stream;

import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Immutable;
import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.model.Plugin;

/**
 * A Maven lifecycle is a sequence of predefined phases that govern the build process
 * of a Maven project. Each phase represents a specific step, such as compiling the

        }
    }

    /**
     * @param reader a reader object.
     * @throws IOException IOException if any.
     * @throws XmlPullParserException XmlPullParserException if
     * any.
     * @return Model
     */
    public Settings read(Reader reader) throws IOException, XmlPullParserException {
        try {
            return new Settings(delegate.read(reader));
        } catch (XMLStreamException e) {

///

/// tip

🚥 👆 💭, "📊", "🎓", &amp; "🍏" 📛 🎰 🏫 <abbr title="Technically, Deep Learning model architectures">🏷</abbr>.

///

### 📣 *➡ 🔢*

⤴️ ✍ *➡ 🔢* ⏮️ 🆎 ✍ ⚙️ 🔢 🎓 👆 ✍ (`ModelName`):

```Python hl_lines="16"
{!../../docs_src/path_params/tutorial005.py!}
```

### ✅ 🩺

	"encoding/xml"
	"io"
	"os"
	"strings"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio/internal/logger"
)

// From Veeam-SOSAPI_1.0_Document_v1.02d.pdf
// - SOSAPI Protocol Version
// - Model Name of the vendor plus version for statistical analysis.
// - List of Smart Object Storage protocol capabilities supported by the server.
// Currently, there are three capabilities supported:
//   - Capacity Reporting

import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
import java.lang.reflect.Method;
import java.lang.reflect.Type;
import java.util.Arrays;
import java.util.Comparator;
import javax.lang.model.element.Modifier;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Tester of subtyping relationships between two types.
 *

from sqlmodel.main import default_registry

from tests.utils import needs_py39, needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",
    params=[
        "tutorial001",

from fastapi.datastructures import DefaultPlaceholder
from fastapi.dependencies.models import Dependant
from fastapi.dependencies.utils import (
    _get_flat_fields_from_params,
    get_flat_dependant,
    get_flat_params,
)
from fastapi.encoders import jsonable_encoder
from fastapi.openapi.constants import METHODS_WITH_BODY, REF_PREFIX, REF_TEMPLATE
from fastapi.openapi.models import OpenAPI
from fastapi.params import Body, ParamTypes

You can see those schemas because they were declared with the models in the app.

That information is available in the app's **OpenAPI schema**, and then shown in the API docs (by Swagger UI).

And that same information from the models that is included in OpenAPI is what can be used to **generate the client code**.

### Generate a TypeScript Client

Now that we have the app with the models, we can generate the client code for the frontend.

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

Bạn có thể trả về một `dict`, `list`, một trong những giá trị đơn như `str`, `int`,...

Bạn cũng có thể trả về Pydantic model (bạn sẽ thấy nhiều hơn về nó sau).

Có nhiều object và model khác nhau sẽ được tự động chuyển đổi sang JSON (bao gồm cả ORM,...). Thử sử dụng loại ưa thích của bạn, nó có khả năng cao đã được hỗ trợ.

## Tóm lại

* Import `FastAPI`.