chore: import upstream snapshot with attribution
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@@ -0,0 +1,137 @@
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import type {
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DatabricksGetClusterParams,
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DatabricksGetClusterResponse,
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} from '@/tools/databricks/types'
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import type { ToolConfig } from '@/tools/types'
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export const getClusterTool: ToolConfig<DatabricksGetClusterParams, DatabricksGetClusterResponse> =
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{
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id: 'databricks_get_cluster',
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name: 'Databricks Get Cluster',
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description:
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'Get the state, configuration, and resource details of a single Databricks cluster by its cluster ID.',
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version: '1.0.0',
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params: {
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host: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'Databricks workspace host (e.g., dbc-abc123.cloud.databricks.com)',
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},
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apiKey: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'Databricks Personal Access Token',
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},
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clusterId: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description: 'The ID of the cluster to retrieve',
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},
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},
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request: {
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url: (params) => {
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const host = params.host
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.trim()
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.replace(/^https?:\/\//, '')
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.replace(/\/$/, '')
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const url = new URL(`https://${host}/api/2.0/clusters/get`)
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url.searchParams.set('cluster_id', params.clusterId.trim())
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return url.toString()
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},
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method: 'GET',
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headers: (params) => ({
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Accept: 'application/json',
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Authorization: `Bearer ${params.apiKey}`,
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}),
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},
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transformResponse: async (response: Response) => {
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const data = await response.json()
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if (!response.ok) {
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throw new Error(data.message || data.error?.message || 'Failed to get cluster')
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}
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return {
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success: true,
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output: {
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cluster: {
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clusterId: data.cluster_id ?? '',
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clusterName: data.cluster_name ?? '',
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state: data.state ?? 'UNKNOWN',
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stateMessage: data.state_message ?? '',
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creatorUserName: data.creator_user_name ?? '',
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sparkVersion: data.spark_version ?? '',
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nodeTypeId: data.node_type_id ?? '',
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driverNodeTypeId: data.driver_node_type_id ?? '',
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numWorkers: data.num_workers ?? null,
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autoscale: data.autoscale
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? {
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minWorkers: data.autoscale.min_workers ?? 0,
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maxWorkers: data.autoscale.max_workers ?? 0,
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}
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: null,
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clusterSource: data.cluster_source ?? '',
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autoterminationMinutes: data.autotermination_minutes ?? 0,
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startTime: data.start_time ?? null,
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},
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},
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}
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},
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outputs: {
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cluster: {
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type: 'object',
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description: 'Cluster detail',
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properties: {
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clusterId: { type: 'string', description: 'Unique cluster identifier' },
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clusterName: { type: 'string', description: 'Cluster display name' },
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state: {
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type: 'string',
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description:
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'Current state (PENDING, RUNNING, RESTARTING, RESIZING, TERMINATING, TERMINATED, ERROR, UNKNOWN)',
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},
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stateMessage: { type: 'string', description: 'Human-readable state description' },
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creatorUserName: { type: 'string', description: 'Email of the cluster creator' },
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sparkVersion: {
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type: 'string',
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description: 'Spark runtime version (e.g., 13.3.x-scala2.12)',
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},
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nodeTypeId: { type: 'string', description: 'Worker node type identifier' },
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driverNodeTypeId: { type: 'string', description: 'Driver node type identifier' },
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numWorkers: {
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type: 'number',
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description: 'Number of worker nodes (for fixed-size clusters)',
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optional: true,
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},
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autoscale: {
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type: 'object',
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description: 'Autoscaling configuration (null for fixed-size clusters)',
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optional: true,
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properties: {
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minWorkers: { type: 'number', description: 'Minimum number of workers' },
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maxWorkers: { type: 'number', description: 'Maximum number of workers' },
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},
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},
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clusterSource: {
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type: 'string',
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description: 'Origin (API, UI, JOB, MODELS, PIPELINE, PIPELINE_MAINTENANCE, SQL)',
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},
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autoterminationMinutes: {
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type: 'number',
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description: 'Minutes of inactivity before auto-termination (0 = disabled)',
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},
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startTime: {
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type: 'number',
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description: 'Cluster start timestamp (epoch ms)',
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optional: true,
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},
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},
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},
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},
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}
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