import org.dbflute.optional.OptionalThing;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.response.render.RenderData;
import org.lastaflute.web.ruts.process.ActionRuntime;

import jakarta.annotation.Resource;

/**
 * Admin action for Data Config management.
 *
 */
public class AdminDataconfigAction extends FessAdminAction {

    /**

    )

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["uvicorn", "docs_src.separate_openapi_schemas.tutorial002:app"]
)
try:
    with sync_playwright() as playwright:
        run(playwright)
finally:

        });
        try {
            badWordService.store(entity);
            suggestHelper.addBadWord(entity.getSuggestWord(), false);
        } catch (final Exception e) {
            logger.warn("Failed to process a request.", e);
            throwValidationErrorApi(messages -> messages.addErrorsCrudFailedToCreateCrudTable(GLOBAL, buildThrowableMessage(e)));
        }

    public fun onRequestStart(socketEffect: SocketEffect?): Builder =
      apply {
        this.onRequestStart = socketEffect
      }

    /**
     * Process the response without even attempting to reading the request body. For HTTP/2 this
     * will close the response stream after the response body or trailers. For HTTP/1 this will

import org.lastaflute.di.core.factory.SingletonLaContainerFactory;
import org.opensearch.monitor.jvm.JvmInfo;
import org.opensearch.monitor.os.OsProbe;
import org.opensearch.monitor.process.ProcessProbe;

import jakarta.annotation.Resource;

/**
 * This class is a command-line application for creating and managing the suggest index.

        scheduledJobService.getScheduledJob(id).ifPresent(entity -> {
            try {
                entity.stop();
            } catch (final Exception e) {
                logger.warn("Failed to process a request.", e);
                throwValidationErrorApi(messages -> {
                    messages.addErrorsFailedToStopJob(GLOBAL, entity.getName());
                });
            }
        }).orElse(() -> {

    )

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["uvicorn", "docs_src.separate_openapi_schemas.tutorial001:app"]
)
try:
    with sync_playwright() as playwright:
        run(playwright)
finally:

    }

    /**
     * Initiates crawling for all configured data stores.
     * This method retrieves all available data configurations and
     * starts the crawling process for each one.
     *
     * @param sessionId unique identifier for this crawling session
     */
    public void crawl(final String sessionId) {

        try {
            jobHelper.setJobRuntime(runtime);
            process(runtime);
        } finally {
            jobHelper.setJobRuntime(null);
        }
    }

    /**
     * Processes the job.
     * @param runtime The job runtime.
     */
    protected void process(final LaJobRuntime runtime) {
        if (!runtime.getParameterMap().containsKey(Constants.SCHEDULED_JOB)) {

    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/sql-databases/image02.png")

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["fastapi", "run", "docs_src/sql_databases/tutorial002.py"],
)
try:
    for _ in range(3):
        try:
            response = httpx.get("http://localhost:8000/docs")