chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,119 @@
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import { createLogger } from '@sim/logger'
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import type {
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DataverseDownloadFileParams,
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DataverseDownloadFileResponse,
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} from '@/tools/microsoft_dataverse/types'
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import { getDataverseBaseUrl } from '@/tools/microsoft_dataverse/utils'
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import type { ToolConfig } from '@/tools/types'
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const logger = createLogger('DataverseDownloadFile')
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export const dataverseDownloadFileTool: ToolConfig<
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DataverseDownloadFileParams,
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DataverseDownloadFileResponse
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> = {
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id: 'microsoft_dataverse_download_file',
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name: 'Download File from Microsoft Dataverse',
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description:
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'Download a file from a file or image column on a Dataverse record. Stores the file in execution storage and returns a file reference, plus the base64 content and metadata directly.',
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version: '1.0.0',
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oauth: { required: true, provider: 'microsoft-dataverse' },
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errorExtractor: 'nested-error-object',
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params: {
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accessToken: {
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type: 'string',
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required: true,
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visibility: 'hidden',
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description: 'OAuth access token for Microsoft Dataverse API',
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},
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environmentUrl: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'Dataverse environment URL (e.g., https://myorg.crm.dynamics.com)',
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},
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entitySetName: {
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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: 'Entity set name (plural table name, e.g., accounts, contacts)',
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},
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recordId: {
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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: 'Record GUID to download the file from',
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},
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fileColumn: {
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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: 'File or image column logical name (e.g., entityimage, cr_document)',
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},
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},
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request: {
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url: (params) => {
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const baseUrl = getDataverseBaseUrl(params.environmentUrl)
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return `${baseUrl}/api/data/v9.2/${params.entitySetName.trim()}(${params.recordId.trim()})/${params.fileColumn.trim()}/$value`
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},
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method: 'GET',
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headers: (params) => ({
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Authorization: `Bearer ${params.accessToken}`,
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'OData-MaxVersion': '4.0',
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'OData-Version': '4.0',
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}),
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},
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transformResponse: async (response: Response, params?: DataverseDownloadFileParams) => {
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if (!response.ok) {
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const errorData = await response.json().catch(() => ({}))
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const errorMessage =
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errorData?.error?.message ??
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`Dataverse API error: ${response.status} ${response.statusText}`
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logger.error('Dataverse download file failed', { errorData, status: response.status })
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throw new Error(errorMessage)
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}
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const fileName = response.headers.get('x-ms-file-name') || 'download'
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const fileSize = response.headers.get('x-ms-file-size') ?? ''
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const mimeType =
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response.headers.get('mimetype') ??
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response.headers.get('content-type') ??
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'application/octet-stream'
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const buffer = await response.arrayBuffer()
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const base64Content = Buffer.from(buffer).toString('base64')
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const resolvedSize = fileSize ? Number.parseInt(fileSize, 10) : buffer.byteLength
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return {
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success: true,
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output: {
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file: {
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name: fileName,
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mimeType,
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data: base64Content,
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size: resolvedSize,
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},
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fileContent: base64Content,
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fileName,
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fileSize: resolvedSize,
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mimeType,
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fileColumn: params?.fileColumn ?? '',
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success: true,
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},
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}
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},
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outputs: {
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file: { type: 'file', description: 'Downloaded file stored in execution files' },
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fileContent: { type: 'string', description: 'Base64-encoded file content' },
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fileName: { type: 'string', description: 'Name of the downloaded file', optional: true },
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fileSize: { type: 'number', description: 'File size in bytes' },
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mimeType: { type: 'string', description: 'MIME type of the file', optional: true },
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fileColumn: { type: 'string', description: 'File column the file was downloaded from' },
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success: { type: 'boolean', description: 'Whether the file was downloaded successfully' },
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},
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}
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