Update deployment logic

Author: BenConstable9

deploy_ai_search/ai_search.py

@@ -128,28 +128,34 @@ def get_semantic_search(self) -> SemanticSearch:
         Returns:
             SemanticSearch: The semantic search configuration"""
 
-    @abstractmethod
     def get_skills(self) -> list:
         """Get the skillset for the indexer.
 
         Returns:
             list: The skillsets  used in the indexer"""
 
-    @abstractmethod
+        return []
+
     def get_indexer(self) -> SearchIndexer:
         """Get the indexer for the indexer."""
 
-    @abstractmethod
+        return None
+
     def get_index_projections(self) -> SearchIndexerIndexProjections:
         """Get the index projections for the indexer."""
 
+        return None
+
     def get_synonym_map_names(self) -> list[str]:
         """Get the synonym map names for the indexer."""
         return []
 
     def get_data_source(self) -> SearchIndexerDataSourceConnection:
         """Get the data source for the indexer."""
 
+        if self.get_indexer() is None:
+            return None
+
         data_deletion_detection_policy = NativeBlobSoftDeleteDeletionDetectionPolicy()
 
         data_change_detection_policy = HighWaterMarkChangeDetectionPolicy(
@@ -464,6 +470,12 @@ def deploy_index(self):
     def deploy_skillset(self):
         """This function deploys the skillset."""
         skills = self.get_skills()
+
+        if len(skills) == 0:
+            logging.warning("No skills defined. Skipping skillset deployment.")
+
+            return
+
         index_projections = self.get_index_projections()
 
         skillset = SearchIndexerSkillset(
@@ -481,6 +493,11 @@ def deploy_data_source(self):
         """This function deploys the data source."""
         data_source = self.get_data_source()
 
+        if data_source is None:
+            logging.warning("Data source not defined. Skipping data source deployment.")
+
+            return
+
         result = self._search_indexer_client.create_or_update_data_source_connection(
             data_source
         )
@@ -491,6 +508,11 @@ def deploy_indexer(self):
         """This function deploys the indexer."""
         indexer = self.get_indexer()
 
+        if indexer is None:
+            logging.warning("Indexer not defined. Skipping data source deployment.")
+
+            return
+
         result = self._search_indexer_client.create_or_update_indexer(indexer)
 
         logging.info("%s indexer created", result.name)

deploy_ai_search/rag_documents.py

@@ -52,10 +52,10 @@ def __init__(
             self.enable_page_by_chunking = False
 
     def get_index_fields(self) -> list[SearchableField]:
-        """This function returns the index fields for inquiry document.
+        """This function returns the index fields for rag document.
 
         Returns:
-            list[SearchableField]: The index fields for inquiry document"""
+            list[SearchableField]: The index fields for rag document"""
 
         fields = [
             SimpleField(name="Id", type=SearchFieldDataType.String, filterable=True),
@@ -114,7 +114,7 @@ def get_index_fields(self) -> list[SearchableField]:
         return fields
 
     def get_semantic_search(self) -> SemanticSearch:
-        """This function returns the semantic search configuration for inquiry document
+        """This function returns the semantic search configuration for rag document
 
         Returns:
             SemanticSearch: The semantic search configuration"""
@@ -178,7 +178,7 @@ def get_skills(self) -> list:
         return skills
 
     def get_index_projections(self) -> SearchIndexerIndexProjections:
-        """This function returns the index projections for inquiry document."""
+        """This function returns the index projections for rag document."""
         mappings = [
             InputFieldMappingEntry(name="Chunk", source="/document/pages/*/chunk"),
             InputFieldMappingEntry(
@@ -221,10 +221,10 @@ def get_index_projections(self) -> SearchIndexerIndexProjections:
         return index_projections
 
     def get_indexer(self) -> SearchIndexer:
-        """This function returns the indexer for inquiry document.
+        """This function returns the indexer for rag document.
 
         Returns:
-            SearchIndexer: The indexer for inquiry document"""
+            SearchIndexer: The indexer for rag document"""
 
         # Only place on schedule if it is not a test deployment
         if self.test: