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* Fastify adapter for Drizzle Cube
* Provides Cube.js-compatible API endpoints as a Fastify plugin with Drizzle ORM
*/
import { FastifyPluginCallback, FastifyRequest, FastifyReply, FastifyInstance } from 'fastify'
import type { FastifyCorsOptions } from '@fastify/cors'
import type {
SemanticQuery,
SecurityContext,
DatabaseExecutor,
DrizzleDatabase,
Cube,
CacheConfig,
ExplainOptions
} from '../../server'
import { SemanticLayerCompiler } from '../../server/compiler'
import type { PostgresJsDatabase } from 'drizzle-orm/postgres-js'
import type { MySql2Database } from 'drizzle-orm/mysql2'
import type { BetterSQLite3Database } from 'drizzle-orm/better-sqlite3'
import {
handleDryRun,
formatCubeResponse,
formatSqlResponse,
formatMetaResponse,
formatErrorResponse,
handleBatchRequest,
type MCPOptions
} from '../utils'
import {
buildJsonRpcError,
buildJsonRpcResult,
dispatchMcpMethod,
isNotification,
negotiateProtocol,
parseJsonRpc,
primeEventId,
serializeSseEvent,
wantsEventStream,
validateAcceptHeader,
validateOriginHeader,
MCP_SESSION_ID_HEADER
} from '../mcp-transport'
export interface FastifyAdapterOptions {
/**
* Array of cube definitions to register
*/
cubes: Cube[]
/**
* Drizzle database instance (REQUIRED)
* This is the core of drizzle-cube - Drizzle ORM integration
* Accepts PostgreSQL, MySQL, or SQLite database instances
*/
drizzle: PostgresJsDatabase<any> | MySql2Database<any> | BetterSQLite3Database<any> | DrizzleDatabase
/**
* Database schema for type inference (RECOMMENDED)
* Provides full type safety for cube definitions
*/
schema?: any
/**
* Extract security context from incoming HTTP request.
* Called for EVERY API request to determine user permissions and multi-tenant isolation.
*
* This is your security boundary - ensure proper authentication and authorization here.
*
* @param request - Fastify Request object containing the incoming HTTP request
* @returns Security context with organisationId, userId, roles, etc.
*
* @example
* extractSecurityContext: async (request) => {
* // Extract JWT from Authorization header
* const token = request.headers.authorization?.replace('Bearer ', '')
* const decoded = await verifyJWT(token)
*
* // Return context that will be available in all cube SQL functions
* return {
* organisationId: decoded.orgId,
* userId: decoded.userId,
* roles: decoded.roles
* }
* }
*/
extractSecurityContext: (request: FastifyRequest) => SecurityContext | Promise<SecurityContext>
/**
* Database engine type (optional - auto-detected if not provided)
*/
engineType?: 'postgres' | 'mysql' | 'sqlite' | 'singlestore' | 'duckdb'
/**
* CORS configuration (optional)
*/
cors?: FastifyCorsOptions
/**
* API base path (default: '/cubejs-api/v1')
*/
basePath?: string
/**
* JSON body parser limit (default: 10485760 - 10MB)
*/
bodyLimit?: number
/**
* Cache configuration for query result caching
* When provided, query results will be cached using the specified provider
*/
cache?: CacheConfig
/**
* MCP (AI-Ready) endpoint configuration
* Enables AI agents to discover and query your data
* @default { enabled: true }
*/
mcp?: MCPOptions
}
/**
* Fastify plugin for Cube.js-compatible API
*/
export const cubePlugin: FastifyPluginCallback<FastifyAdapterOptions> = function cubePlugin(
fastify: FastifyInstance,
options: FastifyAdapterOptions,
done: (err?: Error) => void
) {
const {
cubes,
drizzle,
schema,
extractSecurityContext,
engineType,
cors: corsConfig,
basePath = '/cubejs-api/v1',
bodyLimit = 10485760, // 10MB
cache,
mcp = { enabled: true }
} = options
// Validate required options
if (!cubes || cubes.length === 0) {
return done(new Error('At least one cube must be provided in the cubes array'))
}
// Register CORS plugin if configured
if (corsConfig) {
fastify.register(import('@fastify/cors'), corsConfig)
}
// Configure body limit - just a placeholder hook that doesn't use reply
fastify.addHook('onRequest', async (request, _reply) => {
if (request.method === 'POST') {
request.body = undefined // Reset body to allow parsing with custom limit
}
})
// Create semantic layer and register all cubes
const semanticLayer = new SemanticLayerCompiler({
drizzle,
schema,
engineType,
cache
})
// Register all provided cubes
cubes.forEach(cube => {
semanticLayer.registerCube(cube)
})
/**
* POST /cubejs-api/v1/load - Execute queries
*/
fastify.post(`${basePath}/load`, {
bodyLimit,
schema: {
body: {
type: 'object',
additionalProperties: true
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
try {
// Handle both direct query and nested query formats
const body = request.body as any
const query: SemanticQuery = body.query || body
// Extract security context using user-provided function
const securityContext = await extractSecurityContext(request)
// Validate query structure and field existence
const validation = semanticLayer.validateQuery(query)
if (!validation.isValid) {
return reply.status(400).send(formatErrorResponse(
`Query validation failed: ${validation.errors.join(', ')}`,
400
))
}
// Check for cache bypass header (X-Cache-Control: no-cache)
const skipCache = request.headers['x-cache-control'] === 'no-cache'
// Execute multi-cube query (handles both single and multi-cube automatically)
const result = await semanticLayer.executeMultiCubeQuery(query, securityContext, { skipCache })
// Return in official Cube.js format
return formatCubeResponse(query, result, semanticLayer)
} catch (error) {
request.log.error(error, 'Query execution error')
return reply.status(500).send(formatErrorResponse(
error instanceof Error ? error.message : 'Query execution failed',
500
))
}
})
/**
* GET /cubejs-api/v1/load - Execute queries via query string
*/
fastify.get(`${basePath}/load`, {
schema: {
querystring: {
type: 'object',
properties: {
query: { type: 'string' }
},
required: ['query']
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
try {
const { query: queryParam } = request.query as { query: string }
let query: SemanticQuery
try {
query = JSON.parse(queryParam)
} catch {
return reply.status(400).send(formatErrorResponse(
'Invalid JSON in query parameter',
400
))
}
// Extract security context
const securityContext = await extractSecurityContext(request)
// Validate query structure and field existence
const validation = semanticLayer.validateQuery(query)
Iif (!validation.isValid) {
return reply.status(400).send(formatErrorResponse(
`Query validation failed: ${validation.errors.join(', ')}`,
400
))
}
// Check for cache bypass header (X-Cache-Control: no-cache)
const skipCache = request.headers['x-cache-control'] === 'no-cache'
// Execute multi-cube query (handles both single and multi-cube automatically)
const result = await semanticLayer.executeMultiCubeQuery(query, securityContext, { skipCache })
// Return in official Cube.js format
return formatCubeResponse(query, result, semanticLayer)
} catch (error) {
request.log.error(error, 'Query execution error')
return reply.status(500).send(formatErrorResponse(
error instanceof Error ? error.message : 'Query execution failed',
500
))
}
})
/**
* POST /cubejs-api/v1/batch - Execute multiple queries in a single request
* Optimizes network overhead for dashboards with many portlets
*/
fastify.post(`${basePath}/batch`, {
bodyLimit,
schema: {
body: {
type: 'object',
required: ['queries'],
properties: {
queries: {
type: 'array',
items: { type: 'object' }
}
}
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
try {
const { queries } = request.body as { queries: SemanticQuery[] }
if (!queries || !Array.isArray(queries)) {
return reply.status(400).send(formatErrorResponse(
'Request body must contain a "queries" array',
400
))
}
if (queries.length === 0) {
return reply.status(400).send(formatErrorResponse(
'Queries array cannot be empty',
400
))
}
// Extract security context ONCE (shared across all queries)
const securityContext = await extractSecurityContext(request)
// Check for cache bypass header (X-Cache-Control: no-cache)
const skipCache = request.headers['x-cache-control'] === 'no-cache'
// Use shared batch handler (wraps existing single query logic)
const batchResult = await handleBatchRequest(queries, securityContext, semanticLayer, { skipCache })
return batchResult
} catch (error) {
request.log.error(error, 'Batch execution error')
return reply.status(500).send(formatErrorResponse(
error instanceof Error ? error.message : 'Batch execution failed',
500
))
}
})
/**
* GET /cubejs-api/v1/meta - Get cube metadata
* Optimized for fast response times with caching
*/
fastify.get(`${basePath}/meta`, async (request: FastifyRequest, reply: FastifyReply) => {
try {
// Extract security context (some apps may want to filter cubes by context)
// await getSecurityContext(request) // Available if needed for filtering
// Get cached metadata (fast path)
const metadata = semanticLayer.getMetadata()
return formatMetaResponse(metadata)
} catch (error) {
request.log.error(error, 'Metadata error')
return reply.status(500).send(formatErrorResponse(
error instanceof Error ? error.message : 'Failed to fetch metadata',
500
))
}
})
/**
* POST /cubejs-api/v1/sql - Generate SQL without execution (dry run)
*/
fastify.post(`${basePath}/sql`, {
bodyLimit,
schema: {
body: {
type: 'object',
additionalProperties: true
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
try {
const query: SemanticQuery = request.body as SemanticQuery
const securityContext = await extractSecurityContext(request)
// Validate query structure and field existence
const validation = semanticLayer.validateQuery(query)
Iif (!validation.isValid) {
return reply.status(400).send(formatErrorResponse(
`Query validation failed: ${validation.errors.join(', ')}`,
400
))
}
// For SQL generation, we need at least one cube referenced
const firstMember = query.measures?.[0] || query.dimensions?.[0]
Iif (!firstMember) {
return reply.status(400).send(formatErrorResponse(
'No measures or dimensions specified',
400
))
}
const cubeName = firstMember.split('.')[0]
// Generate SQL using the semantic layer compiler
const sqlResult = await semanticLayer.generateSQL(cubeName, query, securityContext)
return formatSqlResponse(query, sqlResult)
} catch (error) {
request.log.error(error, 'SQL generation error')
return reply.status(500).send(formatErrorResponse(
error instanceof Error ? error.message : 'SQL generation failed',
500
))
}
})
/**
* GET /cubejs-api/v1/sql - Generate SQL via query string
*/
fastify.get(`${basePath}/sql`, {
schema: {
querystring: {
type: 'object',
properties: {
query: { type: 'string' }
},
required: ['query']
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
try {
const { query: queryParam } = request.query as { query: string }
const query: SemanticQuery = JSON.parse(queryParam)
const securityContext = await extractSecurityContext(request)
// Validate query structure and field existence
const validation = semanticLayer.validateQuery(query)
Iif (!validation.isValid) {
return reply.status(400).send(formatErrorResponse(
`Query validation failed: ${validation.errors.join(', ')}`,
400
))
}
// For SQL generation, we need at least one cube referenced
const firstMember = query.measures?.[0] || query.dimensions?.[0]
Iif (!firstMember) {
return reply.status(400).send(formatErrorResponse(
'No measures or dimensions specified',
400
))
}
const cubeName = firstMember.split('.')[0]
// Generate SQL using the semantic layer compiler
const sqlResult = await semanticLayer.generateSQL(cubeName, query, securityContext)
return formatSqlResponse(query, sqlResult)
} catch (error) {
request.log.error(error, 'SQL generation error')
return reply.status(500).send(formatErrorResponse(
error instanceof Error ? error.message : 'SQL generation failed',
500
))
}
})
/**
* POST /cubejs-api/v1/dry-run - Validate queries without execution
*/
fastify.post(`${basePath}/dry-run`, {
bodyLimit,
schema: {
body: {
type: 'object',
additionalProperties: true
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
try {
// Handle both direct query and nested query formats
const body = request.body as any
const query: SemanticQuery = body.query || body
// Extract security context using user-provided function
const securityContext = await extractSecurityContext(request)
// Perform dry-run analysis
const result = await handleDryRun(query, securityContext, semanticLayer)
return result
} catch (error) {
request.log.error(error, 'Dry-run error')
return reply.status(400).send({
error: error instanceof Error ? error.message : 'Dry-run validation failed',
valid: false
})
}
})
/**
* GET /cubejs-api/v1/dry-run - Validate queries via query string
*/
fastify.get(`${basePath}/dry-run`, {
schema: {
querystring: {
type: 'object',
properties: {
query: { type: 'string' }
},
required: ['query']
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
try {
const { query: queryParam } = request.query as { query: string }
const query: SemanticQuery = JSON.parse(queryParam)
// Extract security context
const securityContext = await extractSecurityContext(request)
// Perform dry-run analysis
const result = await handleDryRun(query, securityContext, semanticLayer)
return result
} catch (error) {
request.log.error(error, 'Dry-run error')
return reply.status(400).send({
error: error instanceof Error ? error.message : 'Dry-run validation failed',
valid: false
})
}
})
/**
* POST /cubejs-api/v1/explain - Get execution plan for a query
* Returns normalized EXPLAIN output across PostgreSQL, MySQL, and SQLite
*/
fastify.post(`${basePath}/explain`, {
bodyLimit,
schema: {
body: {
type: 'object',
additionalProperties: true
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
try {
// Handle both direct query and nested query formats
const body = request.body as any
const query: SemanticQuery = body.query || body
const options: ExplainOptions = body.options || {}
// Extract security context using user-provided function
const securityContext = await extractSecurityContext(request)
// Validate query structure and field existence
const validation = semanticLayer.validateQuery(query)
if (!validation.isValid) {
return reply.status(400).send({
error: `Query validation failed: ${validation.errors.join(', ')}`
})
}
// Execute EXPLAIN using the semantic layer
const explainResult = await semanticLayer.explainQuery(query, securityContext, options)
return explainResult
} catch (error) {
request.log.error(error, 'Explain error')
return reply.status(500).send({
error: error instanceof Error ? error.message : 'Explain query failed'
})
}
})
// ============================================
// MCP (AI-Ready) Endpoints
// ============================================
Eif (mcp.enabled !== false) {
const mcpBasePath = mcp.basePath ?? '/mcp'
/**
* MCP Streamable HTTP endpoint (JSON-RPC 2.0 + optional SSE)
* Implements MCP 2025-11-25 spec
*/
fastify.post(`${mcpBasePath}`, {
bodyLimit,
schema: {
body: {
type: 'object',
additionalProperties: true
}
}
}, async (request: FastifyRequest, reply: FastifyReply) => {
// Validate Origin header (MCP 2025-11-25: MUST validate, return 403 if invalid)
const originValidation = validateOriginHeader(
request.headers.origin as string | undefined,
mcp.allowedOrigins ? { allowedOrigins: mcp.allowedOrigins } : {}
)
if (!originValidation.valid) {
return reply.status(403).send(buildJsonRpcError(null, -32600, originValidation.reason))
}
// Validate Accept header (MCP 2025-11-25: MUST include both application/json and text/event-stream)
const acceptHeader = request.headers.accept as string | undefined
if (!validateAcceptHeader(acceptHeader)) {
return reply.status(400).send(buildJsonRpcError(null, -32600, 'Accept header must include both application/json and text/event-stream'))
}
const protocol = negotiateProtocol(request.headers as Record<string, string>)
if (!protocol.ok) {
return reply.status(426).send({
error: 'Unsupported MCP protocol version',
supported: protocol.supported
})
}
const rpcRequest = parseJsonRpc(request.body)
if (!rpcRequest) {
return reply.status(400).send(buildJsonRpcError(null, -32600, 'Invalid JSON-RPC 2.0 request'))
}
const wantsStream = wantsEventStream(acceptHeader)
const isInitialize = rpcRequest.method === 'initialize'
try {
const result = await dispatchMcpMethod(
rpcRequest.method,
rpcRequest.params,
{
semanticLayer,
extractSecurityContext,
rawRequest: request,
rawResponse: reply,
negotiatedProtocol: protocol.negotiated
}
)
if (isNotification(rpcRequest)) {
return reply.status(202).send()
}
// Extract session ID for header (MCP 2025-11-25: return in MCP-Session-Id header)
const sessionId = isInitialize && result && typeof result === 'object' && 'sessionId' in result
? (result as { sessionId?: string }).sessionId
: undefined
if (sessionId) {
reply.header(MCP_SESSION_ID_HEADER, sessionId)
}
const response = buildJsonRpcResult(rpcRequest.id ?? null, result)
if (wantsStream) {
const eventId = primeEventId()
reply
.header('Content-Type', 'text/event-stream')
.header('Cache-Control', 'no-cache')
.header('Connection', 'keep-alive')
.send(`id: ${eventId}\n\n${serializeSseEvent(response, eventId)}`)
return
}
return reply.send(response)
} catch (error) {
// Log notification errors before returning 202 (P3 fix)
if (isNotification(rpcRequest)) {
request.log.error(error, 'MCP notification processing error')
return reply.status(202).send()
}
request.log.error(error, 'MCP RPC error')
const code = (error as any)?.code ?? -32603
const data = (error as any)?.data
const message = (error as Error).message || 'MCP request failed'
const rpcError = buildJsonRpcError(rpcRequest.id ?? null, code, message, data)
if (wantsStream) {
const eventId = primeEventId()
reply
.header('Content-Type', 'text/event-stream')
.header('Cache-Control', 'no-cache')
.header('Connection', 'keep-alive')
.send(`id: ${eventId}\n\n${serializeSseEvent(rpcError, eventId)}`)
return
}
return reply.send(rpcError)
}
})
fastify.get(`${mcpBasePath}`, async (request: FastifyRequest, reply: FastifyReply) => {
const eventId = primeEventId()
reply.raw.writeHead(200, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive'
})
reply.raw.write(serializeSseEvent({
jsonrpc: '2.0',
method: 'mcp/ready',
params: { protocol: 'streamable-http' }
}, eventId, 15000))
const keepAlive = setInterval(() => {
reply.raw.write(': keep-alive\n\n')
}, 15000)
request.raw.on('close', () => {
clearInterval(keepAlive)
})
})
/**
* DELETE handler for session termination (MCP 2025-11-25)
* Clients SHOULD send DELETE to terminate sessions
*/
fastify.delete(`${mcpBasePath}`, async (_request: FastifyRequest, reply: FastifyReply) => {
// For now, return 405 Method Not Allowed as we don't track sessions server-side
// A full implementation would track sessions and clean up resources here
return reply.status(405).send({ error: 'Session termination not supported' })
})
}
// Global error handler
fastify.setErrorHandler(async (error, request, reply) => {
request.log.error(error, 'Fastify cube adapter error')
Eif (reply.statusCode < 400) {
reply.status(500)
}
const errorArg = error instanceof Error ? error : String(error)
return formatErrorResponse(errorArg, reply.statusCode)
})
done()
}
/**
* Helper function to register cube routes on an existing Fastify instance
*/
export async function registerCubeRoutes(
fastify: FastifyInstance,
options: FastifyAdapterOptions
): Promise<void> {
await fastify.register(cubePlugin as any, options)
}
/**
* Create a complete Fastify instance with Cube.js routes
*
* @example
* const app = createCubeApp({
* cubes: [salesCube, employeesCube],
* drizzle: db,
* schema,
* extractSecurityContext: async (request) => {
* const token = request.headers.authorization?.replace('Bearer ', '')
* const decoded = await verifyJWT(token)
* return { organisationId: decoded.orgId, userId: decoded.userId }
* }
* })
*/
export function createCubeApp(
options: FastifyAdapterOptions
): FastifyInstance {
const fastify = require('fastify')({
logger: true
})
fastify.register(cubePlugin as any, options)
return fastify
}
// Re-export types for convenience
export type { SecurityContext, DatabaseExecutor, SemanticQuery, DrizzleDatabase, FastifyCorsOptions }
|