File size: 1,986 Bytes
0a50834 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | from ._graph import identifier
from .config import TARGETS
def create_indexes(graph, targets, prop, timeout):
for name in targets:
target = TARGETS[name]
field = prop or target.property
index = f'{target.label}_{field}_vector' if prop else target.index
dims = graph.run(f'MATCH (n:{target.label}) WHERE n.{identifier(field)} IS NOT NULL RETURN DISTINCT size(n.{identifier(field)}) AS dim')
if len(dims) != 1 or not 1 <= dims[0]['dim'] <= 4096:
raise ValueError(f'{name}: requires nonempty vectors with one dimension in 1..4096.')
existing = graph.run('SHOW INDEXES YIELD name,type,labelsOrTypes,properties,options WHERE name=$name RETURN type,labelsOrTypes,properties,options', name=index)
if existing:
row = existing[0]
if (row['type'], row['labelsOrTypes'], row['properties']) != ('VECTOR', [target.label], [field]) or row['options']['indexConfig'].get('vector.dimensions') != dims[0]['dim']:
raise ValueError('Existing index conflicts with requested vectors: ' + index)
else:
graph.run(f'CREATE VECTOR INDEX {identifier(index)} FOR (n:{target.label}) ON (n.{identifier(field)}) OPTIONS {{indexConfig: {{`vector.dimensions`: $dim, `vector.similarity_function`: "cosine"}}}}', dim=dims[0]['dim'])
graph.run('CALL db.awaitIndex($name,$timeout)', name=index, timeout=timeout)
print('Index ready:', index, flush=True)
def inspect_graph(graph):
return {
'nodes': graph.run('MATCH (n) UNWIND labels(n) AS label RETURN label,count(*) AS count ORDER BY label'),
'relationships': graph.run('MATCH ()-[r]->() RETURN type(r) AS type,count(*) AS count ORDER BY type'),
'vectors': {name: graph.run(f'MATCH (n:{target.label}) RETURN count(n.{target.property}) AS count')[0]['count'] for name, target in TARGETS.items()},
'indexes': graph.run('SHOW INDEXES YIELD name,type,state RETURN name,type,state'),
}
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