ruvector/studio/components/interfaces/Database/Schemas/Schemas.utils.ts
rUv 814f595995 feat(studio): Add complete RuVector Studio application
Major additions:
- Complete Next.js studio application with 1600+ components
- Docker support (Dockerfile.combined, docker-compose.yml)
- GCP deployment documentation and benchmarks
- SQL benchmark scripts for performance testing
- Sentry integration for monitoring
- Comprehensive test suite and mocks

Studio features:
- Dashboard and admin interfaces
- Data visualization components
- Authentication and user management
- API integration with RuVector backend
- Static data and public assets

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-06 23:04:48 +00:00

222 lines
5.7 KiB
TypeScript

import dagre from '@dagrejs/dagre'
import type { PostgresSchema, PostgresTable } from '@supabase/postgres-meta'
import { uniqBy } from 'lodash'
import { Edge, Node, Position } from 'reactflow'
import 'reactflow/dist/style.css'
import { tryParseJson } from 'lib/helpers'
import { TABLE_NODE_ROW_HEIGHT, TABLE_NODE_WIDTH, TableNodeData } from './SchemaTableNode'
import { LOCAL_STORAGE_KEYS } from 'common'
const NODE_SEP = 25
const RANK_SEP = 50
export async function getGraphDataFromTables(
ref?: string,
schema?: PostgresSchema,
tables?: PostgresTable[]
): Promise<{
nodes: Node<TableNodeData>[]
edges: Edge[]
}> {
if (!tables?.length) {
return { nodes: [], edges: [] }
}
const nodes = tables.map((table) => {
const columns = (table.columns || []).map((column) => {
return {
id: column.id,
isPrimary: table.primary_keys.some((pk) => pk.name === column.name),
name: column.name,
format: column.format,
isNullable: column.is_nullable,
isUnique: column.is_unique,
isUpdateable: column.is_updatable,
isIdentity: column.is_identity,
}
})
return {
id: `${table.id}`,
type: 'table',
data: {
ref,
id: table.id,
name: table.name,
isForeign: false,
columns,
} as TableNodeData,
position: { x: 0, y: 0 },
}
})
const edges: Edge[] = []
const currentSchema = tables[0].schema
const uniqueRelationships = uniqBy(
tables.flatMap((t) => t.relationships),
'id'
)
for (const rel of uniqueRelationships) {
// TODO: Support [external->this] relationship?
if (rel.source_schema !== currentSchema) {
continue
}
// Create additional [this->foreign] node that we can point to on the graph.
if (rel.target_table_schema !== currentSchema) {
nodes.push({
id: rel.constraint_name,
type: 'table',
data: {
ref,
name: `${rel.target_table_schema}.${rel.target_table_name}.${rel.target_column_name}`,
isForeign: true,
columns: [],
} as TableNodeData,
position: { x: 0, y: 0 },
})
const [source, sourceHandle] = findTablesHandleIds(
tables,
rel.source_table_name,
rel.source_column_name
)
if (source) {
edges.push({
id: String(rel.id),
source,
sourceHandle,
target: rel.constraint_name,
targetHandle: rel.constraint_name,
})
}
continue
}
const [source, sourceHandle] = findTablesHandleIds(
tables,
rel.source_table_name,
rel.source_column_name
)
const [target, targetHandle] = findTablesHandleIds(
tables,
rel.target_table_name,
rel.target_column_name
)
// We do not support [external->this] flow currently.
if (source && target) {
edges.push({
id: String(rel.id),
source,
sourceHandle,
target,
targetHandle,
})
}
}
const savedPositionsLocalStorage = localStorage.getItem(
LOCAL_STORAGE_KEYS.SCHEMA_VISUALIZER_POSITIONS(ref ?? 'project', schema?.id ?? 0)
)
const savedPositions = tryParseJson(savedPositionsLocalStorage)
return !!savedPositions
? getLayoutedElementsViaLocalStorage(nodes, edges, savedPositions)
: getLayoutedElementsViaDagre(nodes, edges)
}
function findTablesHandleIds(
tables: PostgresTable[],
table_name: string,
column_name: string
): [string?, string?] {
for (const table of tables) {
if (table_name !== table.name) continue
for (const column of table.columns || []) {
if (column_name !== column.name) continue
return [String(table.id), column.id]
}
}
return []
}
export const getLayoutedElementsViaDagre = (nodes: Node[], edges: Edge[]) => {
const dagreGraph = new dagre.graphlib.Graph()
dagreGraph.setDefaultEdgeLabel(() => ({}))
dagreGraph.setGraph({
rankdir: 'LR',
align: 'UR',
nodesep: NODE_SEP,
ranksep: RANK_SEP,
})
nodes.forEach((node) => {
dagreGraph.setNode(node.id, {
width: TABLE_NODE_WIDTH / 2,
height: (TABLE_NODE_ROW_HEIGHT / 2) * (node.data.columns.length + 1), // columns + header
})
})
edges.forEach((edge) => {
dagreGraph.setEdge(edge.source, edge.target)
})
dagre.layout(dagreGraph)
nodes.forEach((node) => {
const nodeWithPosition = dagreGraph.node(node.id)
node.targetPosition = Position.Left
node.sourcePosition = Position.Right
// We are shifting the dagre node position (anchor=center center) to the top left
// so it matches the React Flow node anchor point (top left).
node.position = {
x: nodeWithPosition.x - nodeWithPosition.width / 2,
y: nodeWithPosition.y - nodeWithPosition.height / 2,
}
return node
})
return { nodes, edges }
}
const getLayoutedElementsViaLocalStorage = (
nodes: Node[],
edges: Edge[],
positions: { [key: string]: { x: number; y: number } }
) => {
// [Joshen] Potentially look into auto fitting new nodes?
// https://github.com/xyflow/xyflow/issues/1113
const nodesWithNoSavedPositons = nodes.filter((n) => !(n.id in positions))
let newNodeCount = 0
let basePosition = {
x: 0,
y: -(NODE_SEP + TABLE_NODE_ROW_HEIGHT + nodesWithNoSavedPositons.length * 10),
}
nodes.forEach((node) => {
const existingPosition = positions?.[node.id]
node.targetPosition = Position.Left
node.sourcePosition = Position.Right
if (existingPosition) {
node.position = existingPosition
} else {
node.position = {
x: basePosition.x + newNodeCount * 10,
y: basePosition.y + newNodeCount * 10,
}
newNodeCount += 1
}
})
return { nodes, edges }
}