/**
     * Constructs a Read AndX response.
     *
     * @param config the configuration
     */
    public SmbComReadAndXResponse(final Configuration config) {
        super(config);
    }

    /**
     * Constructs a Read AndX response with buffer.
     *
     * @param config the configuration
     * @param b the data buffer
     * @param off the offset in the buffer
     */

 */
package org.codelibs.fess.opensearch.config.cbean.bs;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractConditionBean;
import org.codelibs.fess.opensearch.config.bsentity.dbmeta.WebConfigDbm;
import org.codelibs.fess.opensearch.config.cbean.WebConfigCB;
import org.codelibs.fess.opensearch.config.cbean.ca.WebConfigCA;

    * Tendrá el mejor rendimiento, ya que no tiene mucho código extra aparte del propio servidor.
    * No escribirías una aplicación directamente en Uvicorn. Eso significaría que tu código tendría que incluir, más o menos, al menos, todo el código proporcionado por Starlette (o **FastAPI**). Y si hicieras eso, tu aplicación final tendría la misma carga que si hubieras usado un framework, minimizando el código de tu aplicación y los bugs.

    /**
     * Constructs a Read AndX request.
     *
     * @param config the configuration
     */
    public SmbComReadAndX(final Configuration config) {
        super(config, SMB_COM_READ_ANDX);
        this.openTimeout = 0xFFFFFFFF;
    }

    /**
     * Constructs a Read AndX request with parameters.
     *
     * @param config the configuration
     * @param fid the file identifier

this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container)\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number')...

labels.reqheader_configuration=Request Header
labels.reqheader_list_name=Name
labels.reqheader_list_web_crawling_config=Config Name
labels.reqheader_create_web_config=Create New Web Config
labels.reqheader_title_details=Request Header
labels.reqheader_name=Name
labels.reqheader_value=Value
labels.reqheader_web_crawling_config=Web Config
labels.key_match_configuration=Key Match
labels.key_match_list_term=Term
labels.key_match_list_query=Query

///

## Execute seu código com seu depurador

Como você está executando o servidor Uvicorn diretamente do seu código, você pode chamar seu programa Python (seu aplicativo FastAPI) diretamente do depurador.

---

Por exemplo, no Visual Studio Code, você pode:

* Ir para o painel "Debug".

        when(tc.getConfig()).thenReturn(config);
        when(config.isAllowNTLMFallback()).thenReturn(true);
        when(config.isUseRawNTLM()).thenReturn(false);

        // Enable NTLM fallback by providing NTLM creds in constructor
        Kerb5Authenticator auth = new Kerb5Authenticator(new Subject(), "DOM", "user", "pass");
        auth.setForceFallback(true);

APP_NAME="ChimichangApp"
```

### ✍ ⚒ ⚪️➡️ `.env`

& ⤴️ ℹ 👆 `config.py` ⏮️:

{* ../../docs_src/settings/app03/config.py hl[9:10] *}

📥 👥 ✍ 🎓 `Config` 🔘 👆 Pydantic `Settings` 🎓, & ⚒ `env_file` 📁 ⏮️ 🇨🇻 📁 👥 💚 ⚙️.

/// tip

`Config` 🎓 ⚙️ Pydantic 📳. 👆 💪 ✍ 🌖 <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic 🏷 📁</a>

///

### Die Konfigurationsdatei

Ausgehend vom vorherigen Beispiel könnte Ihre Datei `config.py` so aussehen:

{* ../../docs_src/settings/app02/config.py hl[10] *}

Beachten Sie, dass wir jetzt keine Standardinstanz `settings = Settings()` erstellen.

### Die Haupt-Anwendungsdatei

Jetzt erstellen wir eine Abhängigkeit, die ein neues `config.Settings()` zurückgibt.

{* ../../docs_src/settings/app02_an_py39/main.py hl[6,12:13] *}