feat(platform): add managed data product history plane
This commit is contained in:
@@ -9,8 +9,8 @@ qualified:
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- `n8n-nodes-ndc.ndcDataProductPublish` — publishes canonical facts into an
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approved Data Product.
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- `n8n-nodes-ndc.ndcDataProductRead` — reads the current snapshot of an
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approved Data Product.
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- `n8n-nodes-ndc.ndcDataProductRead` — reads the current snapshot or a bounded,
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cursor-paged history window of an approved Data Product.
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- `n8n-nodes-ndc.ndcFoundryBinding` — creates or updates a declarative Foundry
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page-slot binding. This is a control-plane operation, not a runtime data
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transport.
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@@ -42,6 +42,7 @@ never accepts them from a workflow.
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- `GET /internal/data-plane/v1/reader/data-products`
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- `POST /internal/data-plane/v1/data-products/:dataProductId/publish`
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- `GET /internal/data-plane/v1/data-products/:dataProductId/snapshot`
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- `GET /internal/data-plane/v1/data-products/:dataProductId/history`
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- `GET /internal/foundry/v1/data-products`
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- `POST /internal/foundry/v1/data-product-bindings`
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@@ -58,14 +59,20 @@ materializes actor, owner and exact application/page/binding/product scope from
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that grant; none of those authorization claims are accepted from headers or
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workflow data.
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`NDC Data Product Read` supports only the bounded
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`nodedc.data-product.snapshot/v1` contract. Its `Page Size` parameter is a
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`NDC Data Product Read` supports the bounded
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`nodedc.data-product.snapshot/v1` contract. Its snapshot `Page Size` parameter is a
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safety ceiling, not pagination: the complete scoped current projection must fit
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within 5000 entity keys. A larger product returns
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`data_product_snapshot_limit_exceeded`; the node must not assemble independent
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pages or start a patch stream from an incomplete snapshot. Large products need
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stable partition Data Products or a separately versioned query contract with a
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single snapshot barrier.
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stable partition Data Products.
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History mode uses `nodedc.data-product.history/v1` and requires a closed
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`from`/`to` interval. It supports provider-neutral `sourceIds`, a resolution
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that is a multiple of the Data Product native sampling interval, a limit up to
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5000 points and an opaque keyset continuation cursor. The response stays as one
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envelope item so L2 logic can preserve `query` and `nextCursor` while iterating.
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The workflow never selects a database, provider, tenant or connection.
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## Publish input
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@@ -9,6 +9,7 @@ import { NodeConnectionTypes, NodeOperationError } from 'n8n-workflow';
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import {
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DATA_PRODUCT_BASE_PATH,
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DATA_PRODUCT_HISTORY_SUFFIX,
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DATA_PRODUCT_READER_CATALOG_PATH,
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DATA_PRODUCT_SNAPSHOT_SUFFIX,
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DATA_PLANE_DEFAULT_BASE_URL,
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@@ -16,7 +17,12 @@ import {
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NDC_DATA_PRODUCT_READER_CREDENTIAL,
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NDC_NODE_ICON,
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} from '../shared/constants';
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import { normalizeSnapshotFacts, snapshotReadParameters } from '../shared/contracts';
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import {
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historyReadParameters,
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normalizeHistoryResponse,
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normalizeSnapshotFacts,
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snapshotReadParameters,
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} from '../shared/contracts';
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import { safeHttpError, safeInputError } from '../shared/errors';
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import { loadDataProductOptions, ndcRequest, serviceBaseUrl } from '../shared/http';
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@@ -26,14 +32,25 @@ export class NdcDataProductRead implements INodeType {
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name: 'ndcDataProductRead',
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icon: NDC_NODE_ICON,
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group: ['input'],
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version: 1,
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subtitle: '={{$parameter["dataProductId"]}}',
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description: 'Read a scoped NDC Data Product snapshot',
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version: [1, 2],
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subtitle: '={{$parameter["mode"] || "snapshot"}} · {{$parameter["dataProductId"]}}',
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description: 'Read a scoped NDC Data Product snapshot or bounded history',
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defaults: { name: 'NDC Data Product Read' },
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inputs: [NodeConnectionTypes.Main],
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outputs: [NodeConnectionTypes.Main],
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credentials: [{ name: NDC_DATA_PRODUCT_READER_CREDENTIAL, required: true }],
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properties: [
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{
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displayName: 'Mode',
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name: 'mode',
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type: 'options',
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options: [
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{ name: 'Current Snapshot', value: 'snapshot' },
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{ name: 'History', value: 'history' },
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],
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default: 'snapshot',
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required: true,
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},
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{
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displayName: 'Data Product Name or ID',
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name: 'dataProductId',
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@@ -50,6 +67,59 @@ export class NdcDataProductRead implements INodeType {
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default: 1000,
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required: true,
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description: 'Maximum number of snapshot facts to return',
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displayOptions: { show: { mode: ['snapshot'] } },
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},
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{
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displayName: 'From',
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name: 'from',
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type: 'dateTime',
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default: '',
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required: true,
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displayOptions: { show: { mode: ['history'] } },
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},
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{
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displayName: 'To',
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name: 'to',
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type: 'dateTime',
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default: '',
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required: true,
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displayOptions: { show: { mode: ['history'] } },
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},
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{
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displayName: 'Resolution (MS)',
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name: 'resolutionMs',
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type: 'number',
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typeOptions: { minValue: 1000, maxValue: 86400000, numberStepSize: 1000 },
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default: 60000,
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required: true,
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description: 'Provider-neutral history bucket size; must be a multiple of the Data Product native history interval',
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displayOptions: { show: { mode: ['history'] } },
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},
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{
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displayName: 'Source IDs',
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name: 'sourceIds',
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type: 'string',
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default: '',
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description: 'Optional comma-separated entity IDs; empty reads all entities in the scoped Data Product',
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displayOptions: { show: { mode: ['history'] } },
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},
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{
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displayName: 'Limit',
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name: 'limit',
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type: 'number',
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typeOptions: { minValue: 1, maxValue: 5000, numberStepSize: 1 },
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default: 50,
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required: true,
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description: 'Max number of results to return',
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displayOptions: { show: { mode: ['history'] } },
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},
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{
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displayName: 'Cursor',
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name: 'cursor',
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type: 'string',
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default: '',
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description: 'Opaque continuation cursor returned by the previous history page',
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displayOptions: { show: { mode: ['history'] } },
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},
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],
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};
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@@ -69,7 +139,48 @@ export class NdcDataProductRead implements INodeType {
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};
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async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
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const mode = this.getNodeParameter('mode', 0, 'snapshot') as string;
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const dataProductId = this.getNodeParameter('dataProductId', 0) as string;
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if (mode === 'history') {
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let parameters;
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try {
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parameters = historyReadParameters({
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dataProductId,
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from: this.getNodeParameter('from', 0),
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to: this.getNodeParameter('to', 0),
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resolutionMs: this.getNodeParameter('resolutionMs', 0, 60000),
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sourceIds: this.getNodeParameter('sourceIds', 0, ''),
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limit: this.getNodeParameter('limit', 0, 1000),
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cursor: this.getNodeParameter('cursor', 0, ''),
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});
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} catch (error) {
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throw new NodeOperationError(this.getNode(), safeInputError(error, 'ndc_data_product_history_input_invalid'));
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}
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try {
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const baseUrl = serviceBaseUrl(DATA_PLANE_BASE_URL_ENV, DATA_PLANE_DEFAULT_BASE_URL);
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const response = await ndcRequest(this, NDC_DATA_PRODUCT_READER_CREDENTIAL, {
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method: 'GET',
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url: `${baseUrl}${DATA_PRODUCT_BASE_PATH}/${parameters.encodedProductId}${DATA_PRODUCT_HISTORY_SUFFIX}`,
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qs: {
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from: parameters.from,
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to: parameters.to,
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resolutionMs: parameters.resolutionMs,
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...(parameters.sourceIds.length ? { sourceIds: parameters.sourceIds.join(',') } : {}),
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limit: parameters.limit,
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...(parameters.cursor ? { cursor: parameters.cursor } : {}),
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},
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});
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return [[{ json: normalizeHistoryResponse(response), pairedItem: { item: 0 } }]];
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} catch (error) {
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const safe = error instanceof Error && error.message === 'data_product_history_invalid'
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? safeInputError(error, 'ndc_data_product_history_invalid')
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: safeHttpError(error, 'ndc_data_product_history_read_failed');
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throw new NodeOperationError(this.getNode(), safe);
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}
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}
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if (mode !== 'snapshot') {
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throw new NodeOperationError(this.getNode(), safeInputError(new Error('read_mode_invalid'), 'ndc_data_product_read_input_invalid'));
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}
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const pageSize = this.getNodeParameter('pageSize', 0, 1000) as number;
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let parameters;
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try {
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@@ -5,6 +5,7 @@ export const DATA_PRODUCT_WRITER_CATALOG_PATH = '/internal/data-plane/v1/writer/
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export const DATA_PRODUCT_READER_CATALOG_PATH = '/internal/data-plane/v1/reader/data-products';
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export const DATA_PRODUCT_BASE_PATH = '/internal/data-plane/v1/data-products';
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export const DATA_PRODUCT_SNAPSHOT_SUFFIX = '/snapshot';
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export const DATA_PRODUCT_HISTORY_SUFFIX = '/history';
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export const FOUNDRY_BINDING_PATH = '/internal/foundry/v1/data-product-bindings';
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export const FOUNDRY_CATALOG_PATH = '/internal/foundry/v1/data-products';
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@@ -118,6 +118,19 @@ export function normalizeSnapshotFacts(value: unknown): IDataObject[] {
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});
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}
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export function normalizeHistoryResponse(value: unknown): IDataObject {
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if (!isObject(value) || value.schemaVersion !== 'nodedc.data-product.history/v1'
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|| !isObject(value.dataProduct) || !isObject(value.query) || !Array.isArray(value.facts)) {
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throw new Error('data_product_history_invalid');
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}
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value.facts.forEach((fact, index) => {
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if (!isObject(fact) || Number.isNaN(Date.parse(String(fact.bucketStart ?? '')))) {
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throw new Error(`history_fact_${index}_invalid`);
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}
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});
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return value;
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}
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export function snapshotReadParameters(
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dataProductId: unknown,
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pageSize: unknown,
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@@ -132,6 +145,52 @@ export function snapshotReadParameters(
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};
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}
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export function historyReadParameters(value: {
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dataProductId: unknown;
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from: unknown;
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to: unknown;
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resolutionMs: unknown;
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sourceIds: unknown;
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limit: unknown;
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cursor: unknown;
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}): {
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encodedProductId: string;
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from: string;
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to: string;
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resolutionMs: number;
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sourceIds: string[];
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limit: number;
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cursor: string;
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} {
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const from = requireIsoTimestamp(value.from, 'from');
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const to = requireIsoTimestamp(value.to, 'to');
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if (Date.parse(from) >= Date.parse(to)) throw new Error('history_range_invalid');
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const resolutionMs = Number(value.resolutionMs);
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if (!Number.isInteger(resolutionMs) || resolutionMs < 1000 || resolutionMs > 24 * 60 * 60 * 1000) {
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throw new Error('history_resolution_invalid');
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}
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const limit = Number(value.limit);
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if (!Number.isInteger(limit) || limit < 1 || limit > 5000) throw new Error('history_limit_invalid');
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const sourceIds = [...new Set((Array.isArray(value.sourceIds)
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? value.sourceIds
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: String(value.sourceIds ?? '').split(','))
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.map((item) => String(item ?? '').trim())
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.filter(Boolean)
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.map((item) => requireIdentifier(item, 'sourceIds')))];
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if (sourceIds.length > 1000) throw new Error('history_source_ids_limit_exceeded');
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const cursor = String(value.cursor ?? '').trim();
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if (cursor && (cursor.length > 1024 || !/^[A-Za-z0-9_-]+$/.test(cursor))) throw new Error('history_cursor_invalid');
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return {
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encodedProductId: encodeIdentifierPath(value.dataProductId, 'dataProductId'),
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from,
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to,
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resolutionMs,
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sourceIds,
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limit,
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cursor,
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};
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}
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export function dataProductOptions(value: unknown): INodeListSearchItems[] {
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if (!isObject(value)) throw new Error('data_product_catalog_invalid');
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const rows = Array.isArray(value.dataProducts)
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Generated
+2
-2
@@ -1,12 +1,12 @@
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{
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"name": "n8n-nodes-ndc",
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"version": "0.1.2",
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"version": "0.1.3",
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"lockfileVersion": 3,
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"requires": true,
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"packages": {
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"": {
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"name": "n8n-nodes-ndc",
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"version": "0.1.2",
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"version": "0.1.3",
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"license": "UNLICENSED",
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"devDependencies": {
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"@n8n/node-cli": "0.39.3",
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@@ -1,6 +1,6 @@
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{
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"name": "n8n-nodes-ndc",
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"version": "0.1.2",
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"version": "0.1.3",
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"description": "Private NODE.DC nodes for scoped data products and Foundry bindings.",
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"private": true,
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"license": "UNLICENSED",
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@@ -172,8 +172,9 @@ async function main() {
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restoreEnvironment('NDC_DATA_PLANE_BASE_URL', previousDefaultProbe);
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const readProperties = nodes.get('NdcDataProductRead').description.properties.map((property) => property.name);
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assert.equal(readProperties.includes('cursor'), false, 'snapshot endpoint has no cursor input');
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assert.equal(readProperties.includes('history'), false, 'history must stay hidden until its endpoint exists');
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assert.equal(readProperties.includes('mode'), true, 'read mode must expose snapshot/history explicitly');
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assert.equal(readProperties.includes('cursor'), true, 'history endpoint must expose its opaque continuation cursor');
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assert.equal(readProperties.includes('sourceIds'), true, 'history filtering remains provider-neutral');
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const pageSizeProperty = nodes.get('NdcDataProductRead').description.properties.find((property) => property.name === 'pageSize');
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assert.equal(pageSizeProperty.typeOptions.minValue, 1);
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assert.equal(pageSizeProperty.typeOptions.maxValue, 5000, 'bounded snapshot v1 must not expose more than 5000 facts');
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@@ -255,6 +256,51 @@ async function assertNodeHttpContracts(nodes, externalContract, constants) {
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assert.deepEqual(readCalls[0].options.qs, { limit: 1000 });
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assert.equal(readResult[0][0].json.sourceId, 'fleet.unit.42');
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const historyCalls = [];
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const historyResponse = {
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schemaVersion: 'nodedc.data-product.history/v1',
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dataProduct: { id: 'fleet.positions.current.v1', version: '1.0.0' },
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generatedAt: '2026-07-15T12:05:00.000Z',
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query: {
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from: '2026-07-15T12:00:00.000Z',
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to: '2026-07-15T12:05:00.000Z',
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resolutionMs: 60000,
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sourceIds: ['fleet.unit.42'],
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order: 'asc',
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},
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facts: [{ ...canonicalFact(), receivedAt: '2026-07-15T12:00:00.100Z', bucketStart: '2026-07-15T12:00:00.000Z' }],
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nextCursor: 'opaque_cursor',
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};
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const historyContext = executionContext({
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parameters: {
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mode: 'history',
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dataProductId: 'fleet.positions.current.v1',
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from: '2026-07-15T12:00:00.000Z',
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to: '2026-07-15T12:05:00.000Z',
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resolutionMs: 60000,
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sourceIds: 'fleet.unit.42',
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limit: 1000,
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cursor: '',
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},
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response: historyResponse,
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calls: historyCalls,
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});
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const historyResult = await nodes.get('NdcDataProductRead').execute.call(historyContext);
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assert.equal(historyCalls[0].credentialName, 'ndcDataProductReaderApi');
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assert.equal(historyCalls[0].options.method, 'GET');
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assert.equal(
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historyCalls[0].options.url,
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'http://data-plane.test/internal/data-plane/v1/data-products/fleet.positions.current.v1/history',
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);
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assert.deepEqual(historyCalls[0].options.qs, {
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from: '2026-07-15T12:00:00.000Z',
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to: '2026-07-15T12:05:00.000Z',
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resolutionMs: 60000,
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sourceIds: 'fleet.unit.42',
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limit: 1000,
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});
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assert.deepEqual(historyResult[0][0].json, historyResponse);
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const foundryCalls = [];
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const foundryContext = executionContext({
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parameters: {
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