LocaleTags []Tag `gorm:"many2many:locale_blog_tags;ForeignKey:id,locale;References:id"`
}

type Tag struct {
	ID     uint   `gorm:"primary_key"`
	Locale string `gorm:"primary_key"`
	Value  string
	Blogs  []*Blog `gorm:"many2many:blog_tags"`
}

func compareTags(tags []Tag, contents []string) bool {
	var tagContents []string
	for _, tag := range tags {
		tagContents = append(tagContents, tag.Value)
	}

   * will drop the {@code ":.txt"} part of the name when the file is actually created on the
   * filesystem due to NTFS's <a
   * href="https://learn.microsoft.com/en-us/archive/blogs/askcore/alternate-data-streams-in-ntfs">Alternate
   * Data Streams</a>.
   *
   * @since 11.0
   */
  public static String getFileExtension(String fullName) {
    checkNotNull(fullName);

  /** The HTTP {@code X-User-IP} header field name. */
  public static final String X_USER_IP = "X-User-IP";

  /**
   * The HTTP <a
   * href="https://learn.microsoft.com/en-us/archive/blogs/ieinternals/internet-explorer-and-custom-http-headers#:~:text=X%2DDownload%2DOptions">{@code
   * X-Download-Options}</a> header field name.
   *

        By default, Keras always writes the logs to stdout. However, this is not
        optimal in a non-interactive environment, where you don't have access to
        stdout, but can only view the logs. You can use
        `tf.keras.utils.disable_interactive_logging()` to write the logs to ABSL
        logging. You can also use `tf.keras.utils.enable_interactive_logging()`

        WARN,
        ERROR
    }

    /**
     * Logs a message at the specified level without an associated exception.
     *
     * @param level the severity level of the message
     * @param message the message to be logged
     */
    default void log(@Nonnull Level level, @Nonnull String message) {
        log(level, message, null);
    }

    /**
     * Logs a message at the specified level with an associated exception.

        List<Map<String, Object>> logs = JsonPath.from(response).getList("response.logs");

        if (logs.isEmpty()) {
            logger.warn("No job logs found, skipping testDeleteJobLog");
            return;
        }

        String logId = logs.get(0).get("id").toString();
        int initialCount = logs.size();

        // Delete the log

        List<Map<String, Object>> logs = JsonPath.from(response).getList("response.logs");

        if (logs.isEmpty()) {
            logger.warn("No failure URL logs found, skipping testDeleteFailureUrlLog");
            return;
        }

        String logId = logs.get(0).get("id").toString();
        int initialCount = logs.size();

        // Delete the log

    /**
     * Number of days to keep search logs before purging.
     * Set to -1 to disable automatic purging of search logs.
     */
    @Min(-1)
    @Max(100000)
    @ValidateTypeFailure
    public Integer purgeSearchLogDay;

    /**
     * Number of days to keep job logs before purging.
     * Set to -1 to disable automatic purging of job logs.
     */
    @Min(-1)
    @Max(100000)

app = FastAPI()


@app.get("/logs/stream", response_class=EventSourceResponse)
async def stream_logs() -> AsyncIterable[ServerSentEvent]:
    logs = [
        "2025-01-01 INFO  Application started",
        "2025-01-01 DEBUG Connected to database",
        "2025-01-01 WARN  High memory usage detected",
    ]
    for log_line in logs:

- **Desplegar en FastAPI Cloud** - Deployment con un clic de tu app a [FastAPI Cloud](https://fastapicloud.com/).
- **Streaming de logs de la aplicación** - Streaming en tiempo real de logs desde tu aplicación desplegada en FastAPI Cloud, con filtrado por nivel y búsqueda de texto.