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Merge branch 'main' into add-Memgraph-graph-db
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commit
8ce2223e58
@ -444,7 +444,18 @@ class MilvusVectorDBStorage(BaseVectorStorage):
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for field in collection_info.get("fields", []):
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if field.get("name") == "vector":
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field_type = field.get("type")
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if field_type in ["FloatVector", "FLOAT_VECTOR"]:
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# Extract type name from DataType enum or string
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type_name = None
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if hasattr(field_type, "name"):
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type_name = field_type.name
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elif isinstance(field_type, str):
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type_name = field_type
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else:
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type_name = str(field_type)
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# Check if it's a vector type (supports multiple formats)
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if type_name in ["FloatVector", "FLOAT_VECTOR"]:
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existing_dimension = field.get("params", {}).get("dim")
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if existing_dimension != current_dimension:
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@ -531,7 +542,9 @@ class MilvusVectorDBStorage(BaseVectorStorage):
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# 2. Check schema compatibility
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self._check_schema_compatibility(collection_info)
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logger.info(f"Collection {self.namespace} compatibility validation passed")
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logger.info(
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f"VectorDB Collection '{self.namespace}' compatibility validation passed"
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)
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except Exception as e:
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logger.error(
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@ -571,16 +584,13 @@ class MilvusVectorDBStorage(BaseVectorStorage):
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# Check if our specific collection exists
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collection_exists = self._client.has_collection(self.namespace)
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logger.info(
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f"Collection '{self.namespace}' exists check: {collection_exists}"
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f"VectorDB collection '{self.namespace}' exists check: {collection_exists}"
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)
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if collection_exists:
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# Double-check by trying to describe the collection
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try:
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self._client.describe_collection(self.namespace)
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logger.info(
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f"Collection '{self.namespace}' confirmed to exist, validating compatibility..."
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)
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self._validate_collection_compatibility()
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# Ensure the collection is loaded after validation
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self._ensure_collection_loaded()
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