Schema storage and discovery in Graph Explorer, including SchemaStorageModel persistence, edge connections, incremental schema growth, and related Jotai atoms.
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Does it follow best practices?
Impact
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Optimize this skill with Tessl
npx tessl skill review --optimize ./.kiro/skills/schema/SKILL.mdSchema discovery is expensive in both time and database compute, so the discovered schema is persisted in IndexedDB (via localforage) as a SchemaStorageModel. This acts as a persistent cache per connection.
Key files:
src/core/StateProvider/schema.ts — SchemaStorageModel type, Jotai atoms, and incremental update logicsrc/core/ConfigurationProvider/types.ts — EdgeConnection, VertexTypeConfig, EdgeTypeConfig, and related typessrc/hooks/useSchemaSync.ts — schema sync orchestrationsrc/connector/queries/edgeConnectionsQuery.ts — edge connection discoveryEdge connections (EdgeConnection[]) describe relationships between vertex types and are used by the Schema Explorer feature. Because the edge connection query can be expensive and unreliable, it runs separately from the main schema sync so that a failure only affects Schema Explorer — all other features work without edge connections.
The edgeConnections property on SchemaStorageModel has three meaningful states:
undefined — edge connections have not been successfully discovered (query not run or errored)[] (empty array) — query succeeded but no edge connections existIf the edge connection query fails, the error is stored in the schema via the edgeConnectionDiscoveryFailed flag.
As users explore the graph, queries may return vertex/edge types or attributes not present in the initial schema sync. These are automatically merged into the stored schema via updateSchemaFromEntities(), causing the schema to grow more complete over time.
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