Features: 1) Adjust Elasticsearch timeout settings and retry configuration for improved connection handling.

Fixes: 1) Reduce `_BaseDoc.chunk_size` to prevent potential memory issues.

Extra: 1) Disable Elasticsearch parallel indexing to enhance stability.

core/elasticsearch/documents.py

@@ -6,7 +6,7 @@ from core.models import Brand, Category, Product
 
 
 class _BaseDoc(ActiveOnlyMixin, Document):
-    chunk_size = 300
+    chunk_size = 200
 
     name = fields.TextField(
         attr="name",

evibes/settings/elasticsearch.py

@@ -6,12 +6,12 @@ ELASTICSEARCH_DSL = {
         "basic_auth": ("elastic", getenv("ELASTIC_PASSWORD")),  # noqa: F405
         "verify_certs": False,
         "ssl_show_warn": False,
-        "timeout": 30,
-        "max_retries": 3,
+        "timeout": 10,
+        "max_retries": 2,
         "retry_on_timeout": True,
     },
 }
 
 ELASTICSEARCH_DSL_AUTOSYNC = True
-ELASTICSEARCH_DSL_PARALLEL = True
+ELASTICSEARCH_DSL_PARALLEL = False
 ELASTICSEARCH_DSL_SIGNAL_PROCESSOR = "evibes.signal_processors.SelectiveSignalProcessor"