[Enhancement] Add flag to export rules via KQL search on name

CLI.md

@@ -516,6 +516,7 @@ Options:
                                   Directory to export exceptions to
   -da, --default-author TEXT      Default author for rules missing one
   -r, --rule-id TEXT              Optional Rule IDs to restrict export to
+  -rn, --rule-name TEXT           Optional Rule name to restrict export to (KQL, case-insensitive, supports wildcards)
   -ac, --export-action-connectors
                                   Include action connectors in export
   -e, --export-exceptions         Include exceptions in export

detection_rules/kbwrap.py

@@ -195,6 +195,8 @@ def _process_imported_items(imported_items_list, item_type_description, item_key
 @click.option("--exceptions-directory", "-ed", required=False, type=Path, help="Directory to export exceptions to")
 @click.option("--default-author", "-da", type=str, required=False, help="Default author for rules missing one")
 @click.option("--rule-id", "-r", multiple=True, help="Optional Rule IDs to restrict export to")
+@click.option("--rule-name", "-rn", required=False, help="Optional Rule name to restrict export to "
+              "(KQL, case-insensitive, supports wildcards)")
 @click.option("--export-action-connectors", "-ac", is_flag=True, help="Include action connectors in export")
 @click.option("--export-exceptions", "-e", is_flag=True, help="Include exceptions in export")
 @click.option("--skip-errors", "-s", is_flag=True, help="Skip errors when exporting rules")
@@ -207,14 +209,24 @@ def _process_imported_items(imported_items_list, item_type_description, item_key
 @click.pass_context
 def kibana_export_rules(ctx: click.Context, directory: Path, action_connectors_directory: Optional[Path],
                         exceptions_directory: Optional[Path], default_author: str,
-                        rule_id: Optional[Iterable[str]] = None, export_action_connectors: bool = False,
+                        rule_id: Optional[Iterable[str]] = None, rule_name: Optional[str] = None,
+                        export_action_connectors: bool = False,
                         export_exceptions: bool = False, skip_errors: bool = False, strip_version: bool = False,
                         no_tactic_filename: bool = False, local_creation_date: bool = False,
                         local_updated_date: bool = False) -> List[TOMLRule]:
     """Export custom rules from Kibana."""
     kibana = ctx.obj["kibana"]
     kibana_include_details = export_exceptions or export_action_connectors
+
+    # Only allow one of rule_id or rule_name
+    if rule_name and rule_id:
+        raise click.UsageError("Cannot use --rule-id and --rule-name together. Please choose one.")
+
     with kibana:
+        # Look up rule IDs by name if --rule-name was provided
+        if rule_name:
+            found = RuleResource.find(filter=f"alert.attributes.name:{rule_name}")
+            rule_id = [r["rule_id"] for r in found]
         results = RuleResource.export_rules(list(rule_id), exclude_export_details=not kibana_include_details)
 
     # Handle Exceptions Directory Location

lib/kibana/kibana/resources.py

@@ -42,7 +42,8 @@ def find(cls, per_page=None, **params) -> iter:
         if per_page is None:
             per_page = DEFAULT_PAGE_SIZE
 
-        params.setdefault("sort_field", "_id")
+        # _id is no valid sort field so we sort by name by default
+        params.setdefault("sort_field", "name")
         params.setdefault("sort_order", "asc")
 
         return ResourceIterator(cls, cls.BASE_URI + "/_find", per_page=per_page, **params)

lib/kibana/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "detection-rules-kibana"
-version = "0.4.2"
+version = "0.4.3"
 description = "Kibana API utilities for Elastic Detection Rules"
 license = {text = "Elastic License v2"}
 keywords = ["Elastic", "Kibana", "Detection Rules", "Security", "Elasticsearch"]

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "detection_rules"
-version = "1.0.11"
+version = "1.0.12"
 description = "Detection Rules is the home for rules used by Elastic Security. This repository is used for the development, maintenance, testing, validation, and release of rules for Elastic Security’s Detection Engine."
 readme = "README.md"
 requires-python = ">=3.12"