## Pydantic `Settings` { #pydantic-settings }

Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

### Install `pydantic-settings` { #install-pydantic-settings }

        SuggestSettings settings1 = builder.build(client, "id1");
        SuggestSettings settings2 = builder.build(client, "id2");

        assertNotNull(settings1);
        assertNotNull(settings2);
        // Both should be created with the same configuration
        assertEquals("multi_index", builder.settingsIndexName);

    }

    private static void initializeSuggestSettings() throws Exception {
        // Create suggester and get settings
        Suggester suggester = Suggester.builder().build(client, "test");
        settings = suggester.settings();

        // Store analyzer settings
        storeAnalyzerSettings();
    }

    private static void storeAnalyzerSettings() throws Exception {

## JavaScript-only settings { #javascript-only-settings }

Swagger UI also allows other configurations to be **JavaScript-only** objects (for example, JavaScript functions).

FastAPI also includes these JavaScript-only `presets` settings:

```JavaScript
presets: [
    SwaggerUIBundle.presets.apis,
    SwaggerUIBundle.SwaggerUIStandalonePreset

Suggester customSuggester = Suggester.builder()
    .settings(settings)
    .readingConverter(new ReadingConverterChain())
    .normalizer(new ICUNormalizer())
    .build(client, "custom-suggest");
```

## Configuration Options

### Suggester Settings

```java
import org.codelibs.fess.suggest.settings.SuggestSettingsBuilder;

SuggestSettings settings = SuggestSettingsBuilder.builder()

     * @param settings the suggest settings to be used for creating the normalizer
     * @return a NormalizerChain with the default normalizers
     */
    public static Normalizer createDefaultNormalizer(final Client client, final SuggestSettings settings) {
        final NormalizerChain normalizerChain = new NormalizerChain();
        normalizerChain.add(new AnalyzerNormalizer(client, settings));
        /*

        runner.ensureYellow();
        client = runner.client();

        // Initialize suggest settings
        Suggester suggester = Suggester.builder().build(client, "test");
        settings = suggester.settings();

        // Create test index
        client.admin().indices().prepareCreate(TEST_INDEX).execute().actionGet();
    }

    @AfterClass

You will learn more about using environment variables for handling **application settings** in the [Advanced User Guide - Settings and Environment Variables](./advanced/settings.md){.internal-link target=_blank}.

## `PATH` Environment Variable { #path-environment-variable }

## Conditional OpenAPI from settings and env vars { #conditional-openapi-from-settings-and-env-vars }

You can easily use the same Pydantic settings to configure your generated OpenAPI and the docs UIs.

For example:

{* ../../docs_src/conditional_openapi/tutorial001.py hl[6,11] *}

	Summary       healStatusSummary `json:"Summary"`
	FailureDetail string            `json:"Detail,omitempty"`
	StartTime     time.Time         `json:"StartTime"`

	// settings for the heal sequence
	HealSettings madmin.HealOpts `json:"Settings"`

	// slice of available heal result records
	Items []madmin.HealResultItem `json:"Items"`
}

// structure to hold state of all heal sequences in server memory