import org.opensearch.action.search.SearchResponse;
import org.opensearch.common.xcontent.XContentFactory;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.common.xcontent.json.JsonXContent;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.index.IndexNotFoundException;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;

        StreamUtil.split(slackWebhookUrls, "[,\\s]").of(stream -> stream.filter(StringUtil::isNotBlank).forEach(url -> {
            try (CurlResponse response = Curl.post(url).header("Content-Type", "application/json").body(body).execute()) {
                if (response.getHttpStatusCode() == 200) {
                    if (logger.isDebugEnabled()) {
                        logger.debug("Sent {} to {}.", body, url);
                    }

Также наилучшим подходом является использование уже существующих стандартов.

Итак, прежде чем приступить к написанию **FastAPI**, я потратил несколько месяцев на изучение OpenAPI, JSON Schema, OAuth2, и т.п. для понимания их взаимосвязей, совпадений и различий.

## Проектирование { #design }

///

## 追加情報の追加

追加情報は`Field`や`Query`、`Body`などで宣言することができます。そしてそれは生成されたJSONスキーマに含まれます。

後に例を用いて宣言を学ぶ際に、追加情報を追加する方法を学べます。

## まとめ

Pydanticの`Field`を使用して、モデルの属性に追加のバリデーションやメタデータを宣言することができます。

### Java
```java
MockResponse response = new MockResponse.Builder()
    .addHeader("Content-Type", "application/json; charset=utf-8")
    .addHeader("Cache-Control", "no-cache")
    .body("{}")
    .build();
```

### Kotlin
```kotlin
val response = MockResponse.Builder()
  .addHeader("Content-Type", "application/json; charset=utf-8")
  .addHeader("Cache-Control", "no-cache")
  .body("{}")
  .build()
```

app = FastAPI()


@app.get(
    "/items/{item_id}",
    response_model=Item,
    responses={
        200: {
            "content": {"image/png": {}},
            "description": "Return the JSON item or an image.",
        }
    },
)
async def read_item(item_id: str, img: Union[bool, None] = None):
    if img:
        return FileResponse("image.png", media_type="image/png")
    else:

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package event

import (
	"encoding/json"
	"encoding/xml"
	"reflect"
	"testing"
)

func TestNameExpand(t *testing.T) {
	testCases := []struct {
		name           Name
		expectedResult []Name
	}{
		{BucketCreated, []Name{BucketCreated}},

     * When enabled, users can save favorite search results.
     */
    @Size(max = 10)
    public String userFavorite;

    /**
     * Enable or disable JSON Web API.
     * When enabled, search results can be retrieved via JSON API.
     */
    @Size(max = 10)
    public String webApiJson;

    /**
     * Application-specific value for custom configurations.

### Using xl-meta

Executing `xl-meta` will look for an `xl.meta` in the current folder and decode it to JSON. It is also possible to specify multiple files or wildcards, for example `xl-meta ./**/xl.meta` will output decoded metadata recursively. It is possible to view what inline data is stored inline in the metadata using `--data` parameter `xl-meta -data xl.json` will display an id -> data size. To export inline data to a file use the `--export` option.

	}
}

// EvalFrom evaluates the From clause on the input record. It only
// applies to JSON input data format (currently).
func (e *SelectStatement) EvalFrom(format string, input Record) ([]*Record, error) {
	if !e.selectAST.From.HasKeypath() {
		return []*Record{&input}, nil
	}
	_, rawVal := input.Raw()

	if format != "json" {
		return nil, errDataSource(errors.New("path not supported"))
	}