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simstudioai--sim/apps/sim/tools/textract/analyze-id.ts
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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

170 lines
5.5 KiB
TypeScript

import { createLogger } from '@sim/logger'
import { toError } from '@sim/utils/errors'
import type { TextractAnalyzeIdOutput, TextractAnalyzeIdV2Input } from '@/tools/textract/types'
import type { ToolConfig } from '@/tools/types'
const logger = createLogger('TextractAnalyzeIdTool')
export const textractAnalyzeIdTool: ToolConfig<TextractAnalyzeIdV2Input, TextractAnalyzeIdOutput> =
{
id: 'textract_analyze_id',
name: 'AWS Textract Analyze ID',
description: 'Extract identity document fields using AWS Textract AnalyzeID',
version: '1.0.0',
params: {
accessKeyId: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'AWS Access Key ID',
},
secretAccessKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'AWS Secret Access Key',
},
region: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'AWS region for Textract service (e.g., us-east-1)',
},
file: {
type: 'file',
required: false,
visibility: 'hidden',
description: 'Front of the identity document (JPEG, PNG, or PDF).',
},
filePath: {
type: 'string',
required: false,
visibility: 'hidden',
description: 'URL to the front of the identity document, if not uploaded directly.',
},
fileBack: {
type: 'file',
required: false,
visibility: 'hidden',
description: 'Back of the identity document, if applicable (JPEG, PNG, or PDF).',
},
filePathBack: {
type: 'string',
required: false,
visibility: 'hidden',
description: 'URL to the back of the identity document, if not uploaded directly.',
},
},
request: {
url: '/api/tools/textract/analyze-id',
method: 'POST',
headers: () => ({
'Content-Type': 'application/json',
Accept: 'application/json',
}),
body: (params) => {
const requestBody: Record<string, unknown> = {
accessKeyId: params.accessKeyId?.trim(),
secretAccessKey: params.secretAccessKey?.trim(),
region: params.region?.trim(),
}
if (params.file && typeof params.file === 'object') {
requestBody.file = params.file
} else if (params.filePath && params.filePath.trim() !== '') {
requestBody.filePath = params.filePath.trim()
} else {
throw new Error('Identity document is required')
}
if (params.fileBack && typeof params.fileBack === 'object') {
requestBody.fileBack = params.fileBack
} else if (params.filePathBack && params.filePathBack.trim() !== '') {
requestBody.filePathBack = params.filePathBack.trim()
}
return requestBody
},
},
transformResponse: async (response) => {
try {
const apiResult = await response.json()
if (!apiResult || typeof apiResult !== 'object') {
throw new Error('Invalid response format from Textract API')
}
if (!apiResult.success) {
throw new Error(apiResult.error || 'Request failed')
}
const data = apiResult.output ?? apiResult
return {
success: true,
output: {
identityDocuments: data.identityDocuments ?? [],
documentMetadata: { pages: data.documentMetadata?.pages ?? 0 },
modelVersion: data.modelVersion ?? undefined,
},
}
} catch (error) {
logger.error('Error processing Textract AnalyzeID result:', toError(error))
throw error
}
},
outputs: {
identityDocuments: {
type: 'array',
description: 'Detected identity documents with normalized fields',
items: {
type: 'object',
properties: {
documentIndex: { type: 'number', description: 'Index of the document page set' },
identityDocumentFields: {
type: 'array',
description:
'Normalized fields such as FIRST_NAME, LAST_NAME, DATE_OF_BIRTH, DOCUMENT_NUMBER, EXPIRATION_DATE',
items: {
type: 'object',
properties: {
type: {
type: 'object',
description: 'Normalized field label',
properties: {
text: { type: 'string', description: 'Field label text' },
confidence: { type: 'number', description: 'Confidence score (0-100)' },
},
},
valueDetection: {
type: 'object',
description: 'Detected value for the field, with a normalized value for dates',
properties: {
text: { type: 'string', description: 'Field value text' },
confidence: { type: 'number', description: 'Confidence score (0-100)' },
},
},
},
},
},
},
},
},
documentMetadata: {
type: 'object',
description: 'Metadata about the analyzed document',
properties: {
pages: { type: 'number', description: 'Number of pages analyzed' },
},
},
modelVersion: {
type: 'string',
description: 'Version of the AnalyzeID model used for processing',
optional: true,
},
},
}