alloy captura y guarda cada segundo

config/alloy/alloy.river

@@ -74,7 +74,7 @@ prometheus.scrape "cadvisor" {
 prometheus.scrape "app_metrics" {
   targets = [{"__address__" = "host.docker.internal:9102"}]
   forward_to = [prometheus.remote_write.prometheus.receiver]
-  scrape_interval = "15s"
+  scrape_interval = "1s"
   metrics_path = "/metrics"
   job_name = "app_metrics"
 }

main.py

@@ -1,5 +1,7 @@
 
 from Logger.LokiLogger import LokiLogger
+from Logger import PrometheusMetric
+import time
 
 
 def prueba_log():
@@ -31,5 +33,34 @@ def prueba_log():
         logger.exception(e)
 
 
+def prueba_metricas(duracion_segundos: int = 180):
+    """
+    Emite métricas de prueba durante un tiempo para permitir que Alloy las scrappee.
+    """
+    metrics = PrometheusMetric(prefix="pruebas", port=9102)
+
+    requests_total = metrics.counter(
+        "requests_total", "Solicitudes de ejemplo", labels=["endpoint"]
+    )
+    latency_seconds = metrics.histogram(
+        "latency_seconds",
+        "Latencia simulada",
+        labels=["endpoint"],
+        buckets=[0.1, 0.5, 1, 2, 5],
+    )
+    workers_active = metrics.gauge("workers_active", "Workers activos", labels=["queue"])
+
+    start = time.time()
+    i = 0
+    while time.time() - start < duracion_segundos:
+        requests_total.inc(endpoint="/demo")
+        latency_seconds.observe(0.2 + (i % 5) * 0.1, endpoint="/demo")
+        workers_active.set(3 + (i % 4), queue="default")
+        i += 1
+        time.sleep(1)
+
+
 if __name__ == "__main__":
     prueba_log()
+    # Mantiene el servidor de métricas vivo al menos 3 min para permitir scrapes
+    prueba_metricas()