fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0

    cd "$FESS_HOME"

    if [ "x$daemonized" = "x" ]; then
        fess_parms="$fess_parms -Dfess.foreground=yes"
        exec "$JAVA" $FESS_JAVA_OPTS $fess_parms -Dfess.es.dir="$SEARCH_ENGINE_HOME" -cp "$FESS_CLASSPATH" $props \
                org.codelibs.fess.FessBoot $FESS_OPTS > /dev/null
    else
        exec "$JAVA" $FESS_JAVA_OPTS $fess_parms -Dfess.es.dir="$SEARCH_ENGINE_HOME" -cp "$FESS_CLASSPATH" $props \

          retry_count=0
          if [ -t 0 ]; then
            TTY_FLAG="-t"
          else
            TTY_FLAG=""
          fi
          while [ $retry_count -lt $max_retries ]; do
            if docker exec -i "${container_name}" bash -c "su - omm -c 'gsql -U omm -c \"select 1;\"'" 
            then
              echo "Creating database gorm..."
              sql_file='/tmp/create_database.sql'

	peerRESTDryRun          = "dry-run"
	peerRESTUploadID        = "up-id"

	peerRESTURL         = "url"
	peerRESTSha256Sum   = "sha256sum"
	peerRESTReleaseInfo = "releaseinfo"
	peerRESTExecAt      = "exec-at"

	peerRESTListenBucket = "bucket"
	peerRESTListenPrefix = "prefix"
	peerRESTListenSuffix = "suffix"
	peerRESTListenEvents = "events"
	peerRESTLogMask      = "log-mask"
)

/// warning | Advertencia

Asegúrate de **siempre** usar la **forma exec** de la instrucción `CMD`, como se explica a continuación.

///

#### Usar `CMD` - Forma Exec

La instrucción Docker <a href="https://docs.docker.com/reference/dockerfile/#cmd" class="external-link" target="_blank">`CMD`</a> se puede escribir usando dos formas:

✅ **Forma Exec**:

```Dockerfile
# ✅ Haz esto

          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0

                String filename = file.getFileName().toString();
                if (mavenArtifactJar.matcher(filename).matches()) {
                    Process p = Runtime.getRuntime().exec(new String[] {
                        Paths.get(System.getProperty("java.home"), "bin/java").toString(),
                        "-jar",
                        file.toAbsolutePath().toString(),
                        "5.32",

# via a symlink.
# Helpful since the internal CI utilizes a T:\ drive, part of which is mounted
# to the container, and would result in C:\<path> != T:\<path> mismatches,
# when using variables like `TFCI_OUTPUT_DIR` in `docker exec commands,
# requiring conditional path adjustments throughout the CI scripts.
# Note: This does not work for `docker cp` commands.
# For a little more detail, see:

    netsh advfirewall firewall add rule name="Allow Metadata Proxy" dir=in action=allow protocol=TCP localport=80 remoteip="$CONTAINER_IP_ADDR"
  fi

fi

			</arg>
		</postConstruct>
		 -->
	</component>
	<component name="crawlerStatsHelper"
		class="org.codelibs.fess.helper.CrawlerStatsHelper">
	</component>
	<component name="fessCrawler" class="org.codelibs.fess.exec.Crawler"
		instance="prototype">
	</component>