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

348 lines
11 KiB
TypeScript

import { createLogger } from '@sim/logger'
import { toError } from '@sim/utils/errors'
import type {
TextractParserInput,
TextractParserOutput,
TextractParserV2Input,
} from '@/tools/textract/types'
import type { ToolConfig } from '@/tools/types'
const logger = createLogger('TextractParserTool')
export const textractParserTool: ToolConfig<TextractParserInput, TextractParserOutput> = {
id: 'textract_parser',
name: 'AWS Textract Parser',
description: 'Parse documents using AWS Textract OCR and document analysis',
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)',
},
processingMode: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'Document type: single-page or multi-page. Defaults to single-page.',
},
filePath: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'URL to a document to be processed (JPEG, PNG, or single-page PDF).',
},
file: {
type: 'file',
required: false,
visibility: 'hidden',
description: 'Document file to be processed (JPEG, PNG, or single-page PDF).',
},
s3Uri: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'S3 URI for multi-page processing (s3://bucket/key).',
},
featureTypes: {
type: 'array',
required: false,
visibility: 'user-or-llm',
description:
'Feature types to detect: TABLES, FORMS, QUERIES, SIGNATURES, LAYOUT. If not specified, only text detection is performed.',
items: {
type: 'string',
description: 'Feature type',
},
},
queries: {
type: 'array',
required: false,
visibility: 'user-or-llm',
description:
'Custom queries to extract specific information. Only used when featureTypes includes QUERIES.',
items: {
type: 'object',
description: 'Query configuration',
properties: {
Text: { type: 'string', description: 'The query text' },
Alias: { type: 'string', description: 'Optional alias for the result' },
},
},
},
},
request: {
url: '/api/tools/textract/parse',
method: 'POST',
headers: () => {
return {
'Content-Type': 'application/json',
Accept: 'application/json',
}
},
body: (params) => {
const processingMode = params.processingMode || 'sync'
const requestBody: Record<string, unknown> = {
accessKeyId: params.accessKeyId?.trim(),
secretAccessKey: params.secretAccessKey?.trim(),
region: params.region?.trim(),
processingMode,
}
if (processingMode === 'async') {
requestBody.s3Uri = params.s3Uri?.trim()
} else {
const fileInput =
params.file && typeof params.file === 'object' ? params.file : params.fileUpload
const hasFileUpload = fileInput && typeof fileInput === 'object'
const hasFilePath = typeof params.filePath === 'string' && params.filePath.trim() !== ''
if (hasFilePath) {
requestBody.filePath = params.filePath?.trim()
} else if (hasFileUpload) {
requestBody.file = fileInput
} else {
throw new Error('Document is required for single-page processing')
}
}
if (params.featureTypes && Array.isArray(params.featureTypes)) {
requestBody.featureTypes = params.featureTypes
}
if (params.queries && Array.isArray(params.queries)) {
requestBody.queries = params.queries
}
return requestBody
},
},
transformResponse: async (response) => {
try {
let apiResult
try {
apiResult = await response.json()
} catch (jsonError) {
throw new Error(`Failed to parse Textract response: ${toError(jsonError).message}`)
}
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 textractData = apiResult.output ?? apiResult
return {
success: true,
output: {
blocks: textractData.Blocks ?? textractData.blocks ?? [],
documentMetadata: {
pages:
textractData.DocumentMetadata?.Pages ?? textractData.documentMetadata?.pages ?? 0,
},
modelVersion:
textractData.modelVersion ??
textractData.AnalyzeDocumentModelVersion ??
textractData.analyzeDocumentModelVersion ??
textractData.DetectDocumentTextModelVersion ??
textractData.detectDocumentTextModelVersion ??
undefined,
},
}
} catch (error) {
logger.error('Error processing Textract result:', error)
throw error
}
},
outputs: {
blocks: {
type: 'array',
description:
'Array of Block objects containing detected text, tables, forms, and other elements',
items: {
type: 'object',
properties: {
BlockType: {
type: 'string',
description: 'Type of block (PAGE, LINE, WORD, TABLE, CELL, KEY_VALUE_SET, etc.)',
},
Id: { type: 'string', description: 'Unique identifier for the block' },
Text: {
type: 'string',
description: 'The text content (for LINE and WORD blocks)',
optional: true,
},
TextType: {
type: 'string',
description: 'Type of text (PRINTED or HANDWRITING)',
optional: true,
},
Confidence: { type: 'number', description: 'Confidence score (0-100)', optional: true },
Page: { type: 'number', description: 'Page number', optional: true },
Geometry: {
type: 'object',
description: 'Location and bounding box information',
optional: true,
properties: {
BoundingBox: {
type: 'object',
properties: {
Height: { type: 'number', description: 'Height as ratio of document height' },
Left: { type: 'number', description: 'Left position as ratio of document width' },
Top: { type: 'number', description: 'Top position as ratio of document height' },
Width: { type: 'number', description: 'Width as ratio of document width' },
},
},
Polygon: {
type: 'array',
description: 'Polygon coordinates',
items: {
type: 'object',
properties: {
X: { type: 'number', description: 'X coordinate' },
Y: { type: 'number', description: 'Y coordinate' },
},
},
},
},
},
Relationships: {
type: 'array',
description: 'Relationships to other blocks',
optional: true,
items: {
type: 'object',
properties: {
Type: {
type: 'string',
description: 'Relationship type (CHILD, VALUE, ANSWER, etc.)',
},
Ids: { type: 'array', description: 'IDs of related blocks' },
},
},
},
EntityTypes: {
type: 'array',
description: 'Entity types for KEY_VALUE_SET (KEY or VALUE)',
optional: true,
},
SelectionStatus: {
type: 'string',
description: 'For checkboxes: SELECTED or NOT_SELECTED',
optional: true,
},
RowIndex: { type: 'number', description: 'Row index for table cells', optional: true },
ColumnIndex: {
type: 'number',
description: 'Column index for table cells',
optional: true,
},
RowSpan: { type: 'number', description: 'Row span for merged cells', optional: true },
ColumnSpan: {
type: 'number',
description: 'Column span for merged cells',
optional: true,
},
Query: {
type: 'object',
description: 'Query information for QUERY blocks',
optional: true,
properties: {
Text: { type: 'string', description: 'Query text' },
Alias: { type: 'string', description: 'Query alias', optional: true },
Pages: { type: 'array', description: 'Pages to search', optional: true },
},
},
},
},
},
documentMetadata: {
type: 'object',
description: 'Metadata about the analyzed document',
properties: {
pages: { type: 'number', description: 'Number of pages in the document' },
},
},
modelVersion: {
type: 'string',
description: 'Version of the Textract model used for processing',
optional: true,
},
},
}
export const textractParserV2Tool: ToolConfig<TextractParserV2Input, TextractParserOutput> = {
...textractParserTool,
id: 'textract_parser_v2',
name: 'AWS Textract Parser',
params: {
accessKeyId: textractParserTool.params.accessKeyId,
secretAccessKey: textractParserTool.params.secretAccessKey,
region: textractParserTool.params.region,
processingMode: textractParserTool.params.processingMode,
file: {
type: 'file',
required: false,
visibility: 'hidden',
description: 'Document to be processed (JPEG, PNG, or single-page PDF).',
},
s3Uri: textractParserTool.params.s3Uri,
featureTypes: textractParserTool.params.featureTypes,
queries: textractParserTool.params.queries,
},
request: {
...textractParserTool.request,
body: (params: TextractParserV2Input) => {
const processingMode = params.processingMode || 'sync'
const requestBody: Record<string, unknown> = {
accessKeyId: params.accessKeyId?.trim(),
secretAccessKey: params.secretAccessKey?.trim(),
region: params.region?.trim(),
processingMode,
}
if (processingMode === 'async') {
requestBody.s3Uri = params.s3Uri?.trim()
} else {
if (!params.file || typeof params.file !== 'object') {
throw new Error('Document file is required for single-page processing')
}
requestBody.file = params.file
}
if (params.featureTypes && Array.isArray(params.featureTypes)) {
requestBody.featureTypes = params.featureTypes
}
if (params.queries && Array.isArray(params.queries)) {
requestBody.queries = params.queries
}
return requestBody
},
},
}