in backend-apis/deployment_scripts/vertex_vector_operations.py [0:0]
def main(args):
"""
Main creation function
Args:
args:
Command line args
"""
metadata = {
"contentsDeltaUri": args.contents_delta_uri,
"config": {
"dimensions": 1408,
"approximateNeighborsCount": 150,
"distanceMeasureType": "DOT_PRODUCT_DISTANCE",
"featureNormType": "UNIT_L2_NORM",
"algorithmConfig": {
"treeAhConfig": {
"leafNodeEmbeddingCount": 1000,
"fractionLeafNodesToSearch": 0.05,
}
},
},
}
struct = struct_pb2.Struct()
ParseDict(metadata, struct)
schema_value = struct_pb2.Value(struct_value=struct)
print("Creating vector index")
create_vector_index(
project_id=args.project_id,
location=args.location,
display_name=args.index_display_name,
description=args.index_description,
metadata=schema_value,
)
print("Creating index endpoint")
create_index_endpoint(
project_id=args.project_id,
location=args.location,
display_name=args.endpoint_display_name,
description=args.endpoint_description,
public_endpoint_enabled=True,
)
index_resource_name = get_index_resource_name(
project_id=args.project_id,
location=args.location,
index_display_name=args.index_display_name,
)
(
endpoint_name,
deployed_index_id,
public_endpoint_domain_name,
) = get_endpoint_info(
project_id=args.project_id,
location=args.location,
endpoint_display_name=args.endpoint_display_name,
)
print("Deploying index to endpoint")
deploy_index_to_endpoint(
deploy_id=args.deploy_id,
index=index_resource_name,
display_name=args.deploy_display_name,
index_endpoint=endpoint_name,
)
print("Index endpoint id:")
print(endpoint_name.split(sep="/")[-1])
print("Deployed index id:")
print(deployed_index_id)
print("Vector API endpoint")
print(public_endpoint_domain_name)