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fix: OpenSearch metadata extractor source type bug and enrich index m… #153

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fix: OpenSearch metadata extractor source type bug and enrich index m… #153

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30 changes: 24 additions & 6 deletions ...ug_toolkit/core/integrations/source_metadata_extractors/open_search_metadata_extractor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,21 +9,39 @@ class OpenSearchSourceMetadataExtractor(SourceMetadataExtractor):
def __init__(self, request_id: str, connector_name: str, protocol: str, host: str, username: str, password: str,
verify_certs: bool = False, port: str = None):
self.__os_api_processor = OpenSearchApiProcessor(protocol, host, username, password, verify_certs, port)
super().__init__(request_id, connector_name, Source.PAGER_DUTY)
super().__init__(request_id, connector_name, Source.OPEN_SEARCH)

@log_function_call
def extract_index(self, save_to_db=False):
model_type = SourceModelType.OPEN_SEARCH_INDEX
try:
indexes = self.__os_api_processor.fetch_indices()
response = self.__os_api_processor.get_indices()
indexes = response.get('api_response', []) if isinstance(response, dict) else []
except Exception as e:
logger.error(f"Error while fetching OpenSearch indices: {e}")
return
if not indexes:
return
model_data = {}
for ind in indexes:
model_data[ind] = {}
if save_to_db:
self.create_or_update_model_metadata(model_type, ind, {})
for index_info in indexes:
index_name = index_info.get('index', '') if isinstance(index_info, dict) else str(index_info)
if not index_name:
continue
if isinstance(index_info, dict):
index_metadata = {
'health': index_info.get('health', ''),
'status': index_info.get('status', ''),
'uuid': index_info.get('uuid', ''),
'pri': index_info.get('pri', ''),
'rep': index_info.get('rep', ''),
'docs_count': index_info.get('docs.count', ''),
'docs_deleted': index_info.get('docs.deleted', ''),
'store_size': index_info.get('store.size', ''),
'pri_store_size': index_info.get('pri.store.size', '')
}
else:
index_metadata = {}
model_data[index_name] = index_metadata
if model_data:
self.create_or_update_model_metadata(model_type, model_data)
return model_data