* @param client The OpenSearch client.
     * @param settings The SuggestSettings instance.
     * @param readingConverter The ReadingConverter instance.
     * @param contentsReadingConverter The contents ReadingConverter instance.
     * @param normalizer The Normalizer instance.
     * @param analyzer The SuggestAnalyzer instance.
     * @param threadPool The ExecutorService for thread pooling.
     */

## 설치

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

프로덕션을 위해 <a href="http://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> 또는 <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>과 같은 ASGI 서버도 필요할 겁니다.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

# https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html

# In case of running on EC2
# - we add a TeamCity tag to the build with an instance type of the EC2 instance.
# - we set GRADLE_RO_DEP_CACHE to '/opt/gradle-cache' if the folder exists.

curl -m 1 -s "http://169.254.169.254/latest/meta-data/instance-id"
IS_EC2_INSTANCE=$?
if [ $IS_EC2_INSTANCE -ne 0 ]; then

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

    public static synchronized final SingletonContext getInstance() {
        if (INSTANCE == null) {
            try {
                log.debug("Initializing singleton context");
                init(null);
            } catch (final CIFSException e) {
                log.error("Failed to create singleton JCIFS context", e);
            }
        }
        return INSTANCE;
    }

    /**

  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip
wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools


# For Python 3.13t, do not install twine as it does not have pre-built wheels

     * @param index The index name.
     * @return This builder instance.
     */
    public SuggestRequestBuilder setIndex(final String index) {
        request.setIndex(index);
        return this;
    }

    /**
     * Sets the size of results for the request.
     * @param size The size.
     * @return This builder instance.
     */
    public SuggestRequestBuilder setSize(final int size) {

     * @param index The index name.
     * @return This builder instance.
     */
    public PopularWordsRequestBuilder setIndex(final String index) {
        request.setIndex(index);
        return this;
    }

    /**
     * Sets the size of results for the request.
     * @param size The size.
     * @return This builder instance.
     */
    public PopularWordsRequestBuilder setSize(final int size) {

     * @return This builder instance.
     */
    public SuggestSettingsBuilder clusterTimeout(final String timeout) {
        timeoutSettings.clusterTimeout = timeout;
        return this;
    }

    /**
     * Builds a SuggestSettings instance.
     * @param client The OpenSearch client.
     * @param id The ID.
     * @return A SuggestSettings instance.
     */

///

### Schritt 2: Erzeugen einer `FastAPI`-„Instanz“

{* ../../docs_src/first_steps/tutorial001.py hl[3] *}

In diesem Beispiel ist die Variable `app` eine „Instanz“ der Klasse `FastAPI`.

Dies wird der Hauptinteraktionspunkt für die Erstellung all Ihrer APIs sein.