Add Activepieces integration for workflow automation

- Add Activepieces fork with SmoothSchedule custom piece
- Create integrations app with Activepieces service layer
- Add embed token endpoint for iframe integration
- Create Automations page with embedded workflow builder
- Add sidebar visibility fix for embed mode
- Add list inactive customers endpoint to Public API
- Include SmoothSchedule triggers: event created/updated/cancelled
- Include SmoothSchedule actions: create/update/cancel events, list resources/services/customers

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
poduck
2025-12-18 22:59:37 -05:00
parent 9848268d34
commit 3aa7199503
16292 changed files with 1284892 additions and 4708 deletions

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{
"extends": [
"../../../../.eslintrc.base.json"
],
"ignorePatterns": [
"!**/*"
],
"overrides": [
{
"files": [
"*.ts",
"*.tsx",
"*.js",
"*.jsx"
],
"rules": {}
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{
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"rules": {}
}
]
}

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# pieces-documentpro
This library was generated with [Nx](https://nx.dev).
## Building
Run `nx build pieces-documentpro` to build the library.

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{
"name": "@activepieces/piece-documentpro",
"version": "0.0.1",
"type": "commonjs",
"main": "./src/index.js",
"types": "./src/index.d.ts",
"dependencies": {
"tslib": "^2.3.0"
}
}

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{
"name": "pieces-documentpro",
"$schema": "../../../../node_modules/nx/schemas/project-schema.json",
"sourceRoot": "packages/pieces/community/documentpro/src",
"projectType": "library",
"release": {
"version": {
"manifestRootsToUpdate": [
"dist/{projectRoot}"
],
"currentVersionResolver": "git-tag",
"fallbackCurrentVersionResolver": "disk"
}
},
"tags": [],
"targets": {
"build": {
"executor": "@nx/js:tsc",
"outputs": [
"{options.outputPath}"
],
"options": {
"outputPath": "dist/packages/pieces/community/documentpro",
"tsConfig": "packages/pieces/community/documentpro/tsconfig.lib.json",
"packageJson": "packages/pieces/community/documentpro/package.json",
"main": "packages/pieces/community/documentpro/src/index.ts",
"assets": [
"packages/pieces/community/documentpro/*.md",
{
"input": "packages/pieces/community/documentpro/src/i18n",
"output": "./src/i18n",
"glob": "**/!(i18n.json)"
}
],
"buildableProjectDepsInPackageJsonType": "dependencies",
"updateBuildableProjectDepsInPackageJson": true
},
"dependsOn": [
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"^build"
]
},
"nx-release-publish": {
"options": {
"packageRoot": "dist/{projectRoot}"
}
},
"prebuild": {
"dependsOn": [
"^build"
],
"executor": "nx:run-commands",
"options": {
"cwd": "packages/pieces/community/documentpro",
"command": "bun install --no-save --silent"
}
},
"lint": {
"executor": "@nx/eslint:lint",
"outputs": [
"{options.outputFile}"
]
}
}
}

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{
"DocumentPro is an AI-powered document processing platform that automates data extraction from various document types using advanced machine learning algorithms.": "DocumentPro is an AI-powered document processing platform that automates data extraction from various document types using advanced machine learning algorithms.",
"\nTo get your DocumentPro API Key:\n\n1. **Login** to your DocumentPro account\n2. **Go to** https://app.documentpro.ai/workflows\n3. **Select** a workflow\n4. **Change tab** to \"Workflow\" from the top bar\n5. **Find** the \"Upload\" tab\n6. **Click** \"Upload via API\"\n7. **Click** the \"Generate API Key\" button\n8. **Copy** your API key and paste it here\n ": "\nTo get your DocumentPro API Key:\n\n1. **Login** to your DocumentPro account\n2. **Go to** https://app.documentpro.ai/workflows\n3. **Select** a workflow\n4. **Change tab** to \"Workflow\" from the top bar\n5. **Find** the \"Upload\" tab\n6. **Click** \"Upload via API\"\n7. **Click** the \"Generate API Key\" button\n8. **Copy** your API key and paste it here\n ",
"Upload document": "Upload document",
"Run Extract": "Run Extract",
"Custom API Call": "Custom API Call",
"Uploads a document to a DocumentPro parser": "Uploads a document to a DocumentPro parser",
"Run an extract/workflow on an uploaded document": "Run an extract/workflow on an uploaded document",
"Make a custom API call to a specific endpoint": "Make a custom API call to a specific endpoint",
"File": "File",
"Document ID": "Document ID",
"Template ID": "Template ID",
"Use OCR": "Use OCR",
"Query Model": "Query Model",
"Detect Layout": "Detect Layout",
"Detect Tables": "Detect Tables",
"Page Ranges": "Page Ranges",
"Chunk by Pages": "Chunk by Pages",
"Rolling Window": "Rolling Window",
"Start Regex": "Start Regex",
"End Regex": "End Regex",
"Split Regex": "Split Regex",
"Use All Matches": "Use All Matches",
"Method": "Method",
"Headers": "Headers",
"Query Parameters": "Query Parameters",
"Body": "Body",
"Response is Binary ?": "Response is Binary ?",
"No Error on Failure": "No Error on Failure",
"Timeout (in seconds)": "Timeout (in seconds)",
"The document file to upload (PDF, JPEG, PNG, or TIFF, max 6MB)": "The document file to upload (PDF, JPEG, PNG, or TIFF, max 6MB)",
"The unique identifier of the document to parse": "The unique identifier of the document to parse",
"The unique identifier of the Workflow/template to use": "The unique identifier of the Workflow/template to use",
"Enable OCR processing (required for gpt-3.5-turbo or OCR-related parameters)": "Enable OCR processing (required for gpt-3.5-turbo or OCR-related parameters)",
"The AI model to use for parsing": "The AI model to use for parsing",
"Detect document layout (requires use_ocr=true)": "Detect document layout (requires use_ocr=true)",
"Detect tables in the document (requires use_ocr=true)": "Detect tables in the document (requires use_ocr=true)",
"Specify which pages to parse (e.g., \"1-3,5,7-9\")": "Specify which pages to parse (e.g., \"1-3,5,7-9\")",
"Number of pages per segment for method 1 segmentation": "Number of pages per segment for method 1 segmentation",
"Window size for method 2 segmentation": "Window size for method 2 segmentation",
"Regex pattern for where parsing should begin (requires use_ocr=true)": "Regex pattern for where parsing should begin (requires use_ocr=true)",
"Regex pattern for where parsing should end (requires use_ocr=true)": "Regex pattern for where parsing should end (requires use_ocr=true)",
"Regex pattern to split the document into sections (requires use_ocr=true)": "Regex pattern to split the document into sections (requires use_ocr=true)",
"Use all regex matches instead of just the first (requires use_ocr=true)": "Use all regex matches instead of just the first (requires use_ocr=true)",
"Authorization headers are injected automatically from your connection.": "Authorization headers are injected automatically from your connection.",
"Enable for files like PDFs, images, etc..": "Enable for files like PDFs, images, etc..",
"GPT-4o Mini": "GPT-4o Mini",
"GPT-4o": "GPT-4o",
"GPT-3.5 Turbo": "GPT-3.5 Turbo",
"GET": "GET",
"POST": "POST",
"PATCH": "PATCH",
"PUT": "PUT",
"DELETE": "DELETE",
"HEAD": "HEAD",
"New Document": "New Document",
"Triggers when a new document is uploaded to DocumentPro": "Triggers when a new document is uploaded to DocumentPro",
"Markdown": "Markdown",
"\n**In DocumentPro Dashboard:**\n - Navigate to your desired Workflow\n - Go to the \"Workflow\" tab\n - Find the \"Webhook Notification\" option in the export section\n - Set the Webhook Endpoint URL to:\n ```text\n\t\t\t{{webhookUrl}}\n\t\t\t```\n - Click Save\n\n ": "\n**In DocumentPro Dashboard:**\n - Navigate to your desired Workflow\n - Go to the \"Workflow\" tab\n - Find the \"Webhook Notification\" option in the export section\n - Set the Webhook Endpoint URL to:\n ```text\n\t\t\t{{webhookUrl}}\n\t\t\t```\n - Click Save\n\n "
}

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import { createPiece } from '@activepieces/pieces-framework';
import { documentproAuth } from './lib/common/auth';
import { uploaddocument } from './lib/actions/upload-document';
import { runExtract } from './lib/actions/run-extract';
import { newDocument } from './lib/triggers/new-document';
import { PieceCategory } from '@activepieces/shared';
import { createCustomApiCallAction } from '@activepieces/pieces-common';
export const documentpro = createPiece({
displayName: 'DocumentPro',
auth: documentproAuth,
minimumSupportedRelease: '0.36.1',
logoUrl: 'https://cdn.activepieces.com/pieces/documentpro.png',
description:
'DocumentPro is an AI-powered document processing platform that automates data extraction from various document types using advanced machine learning algorithms.',
categories: [PieceCategory.ARTIFICIAL_INTELLIGENCE],
authors: ['sanket-a11y'],
actions: [
uploaddocument,
runExtract,
createCustomApiCallAction({
auth: documentproAuth,
baseUrl: () => 'https://api.documentpro.ai/v1',
authMapping: async (auth) => {
return {
'x-api-key': `${auth.secret_text}`,
};
},
}),
],
triggers: [newDocument],
});

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import { createAction, Property } from '@activepieces/pieces-framework';
import { HttpMethod, httpClient } from '@activepieces/pieces-common';
import { documentproAuth } from '../common/auth';
export const runExtract = createAction({
auth: documentproAuth,
name: 'runExtract',
displayName: 'Run Extract',
description: 'Run an extract/workflow on an uploaded document',
props: {
document_id: Property.ShortText({
displayName: 'Document ID',
description: 'The unique identifier of the document to parse',
required: true,
}),
template_id: Property.ShortText({
displayName: 'Template ID',
description: 'The unique identifier of the Workflow/template to use',
required: true,
}),
use_ocr: Property.Checkbox({
displayName: 'Use OCR',
description:
'Enable OCR processing (required for gpt-3.5-turbo or OCR-related parameters)',
required: false,
defaultValue: false,
}),
query_model: Property.StaticDropdown({
displayName: 'Query Model',
description: 'The AI model to use for parsing',
required: false,
defaultValue: 'gpt-4o-mini',
options: {
options: [
{ label: 'GPT-4o Mini', value: 'gpt-4o-mini' },
{ label: 'GPT-4o', value: 'gpt-4o' },
{ label: 'GPT-3.5 Turbo', value: 'gpt-3.5-turbo' },
],
},
}),
detect_layout: Property.Checkbox({
displayName: 'Detect Layout',
description: 'Detect document layout (requires use_ocr=true)',
required: false,
defaultValue: false,
}),
detect_tables: Property.Checkbox({
displayName: 'Detect Tables',
description: 'Detect tables in the document (requires use_ocr=true)',
required: false,
defaultValue: false,
}),
page_ranges: Property.ShortText({
displayName: 'Page Ranges',
description: 'Specify which pages to parse (e.g., "1-3,5,7-9")',
required: false,
}),
chunk_by_pages: Property.Number({
displayName: 'Chunk by Pages',
description: 'Number of pages per segment for method 1 segmentation',
required: false,
}),
rolling_window: Property.Number({
displayName: 'Rolling Window',
description: 'Window size for method 2 segmentation',
required: false,
}),
start_regex: Property.ShortText({
displayName: 'Start Regex',
description:
'Regex pattern for where parsing should begin (requires use_ocr=true)',
required: false,
}),
end_regex: Property.ShortText({
displayName: 'End Regex',
description:
'Regex pattern for where parsing should end (requires use_ocr=true)',
required: false,
}),
split_regex: Property.ShortText({
displayName: 'Split Regex',
description:
'Regex pattern to split the document into sections (requires use_ocr=true)',
required: false,
}),
use_all_matches: Property.Checkbox({
displayName: 'Use All Matches',
description:
'Use all regex matches instead of just the first (requires use_ocr=true)',
required: false,
defaultValue: false,
}),
},
async run(context) {
const params = new URLSearchParams();
params.append('template_id', context.propsValue.template_id);
if (context.propsValue.use_ocr) {
params.append('use_ocr', 'true');
}
if (context.propsValue.query_model) {
params.append('query_model', context.propsValue.query_model);
}
if (context.propsValue.detect_layout) {
params.append('detect_layout', 'true');
}
if (context.propsValue.detect_tables) {
params.append('detect_tables', 'true');
}
if (context.propsValue.page_ranges) {
params.append('page_ranges', context.propsValue.page_ranges);
}
if (context.propsValue.chunk_by_pages) {
params.append(
'chunk_by_pages',
context.propsValue.chunk_by_pages.toString()
);
}
if (context.propsValue.rolling_window) {
params.append(
'rolling_window',
context.propsValue.rolling_window.toString()
);
}
if (context.propsValue.start_regex) {
params.append('start_regex', context.propsValue.start_regex);
}
if (context.propsValue.end_regex) {
params.append('end_regex', context.propsValue.end_regex);
}
if (context.propsValue.split_regex) {
params.append('split_regex', context.propsValue.split_regex);
}
if (context.propsValue.use_all_matches) {
params.append('use_all_matches', 'true');
}
const response = await httpClient.sendRequest({
method: HttpMethod.GET,
url: `https://api.documentpro.ai/v1/documents/${
context.propsValue.document_id
}/run_parser?${params.toString()}`,
headers: {
'x-api-key': context.auth.secret_text,
Accept: 'application/json',
},
});
return response.body;
},
});

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import { createAction, Property } from '@activepieces/pieces-framework';
import { HttpMethod, httpClient } from '@activepieces/pieces-common';
import { documentproAuth } from '../common/auth';
export const uploaddocument = createAction({
auth: documentproAuth,
name: 'uploadDocument',
displayName: 'Upload document',
description: 'Uploads a document to a DocumentPro parser',
props: {
file: Property.File({
displayName: 'File',
description:
'The document file to upload (PDF, JPEG, PNG, or TIFF, max 6MB)',
required: true,
}),
},
async run(context) {
const file = context.propsValue.file;
const formData = new FormData();
const fileBuffer = Buffer.from(file.base64, 'base64');
const mimeType = file.extension ? `application/${file.extension}` : 'application/octet-stream';
const blob = new Blob([fileBuffer], { type: mimeType });
formData.append('file', blob, file.filename);
const response = await httpClient.sendRequest({
method: HttpMethod.POST,
url: 'https://api.documentpro.ai/v1/documents',
headers: {
'x-api-key': context.auth.secret_text,
'Content-Type': 'multipart/form-data',
},
body: formData,
});
return response.body;
},
});

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import { PieceAuth } from '@activepieces/pieces-framework';
export const documentproAuth = PieceAuth.SecretText({
displayName: 'API Key',
description: `
To get your DocumentPro API Key:
1. **Login** to your DocumentPro account
2. **Go to** https://app.documentpro.ai/workflows
3. **Select** a workflow
4. **Change tab** to "Workflow" from the top bar
5. **Find** the "Upload" tab
6. **Click** "Upload via API"
7. **Click** the "Generate API Key" button
8. **Copy** your API key and paste it here
`,
required: true,
});

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import {
createTrigger,
TriggerStrategy,
Property,
} from '@activepieces/pieces-framework';
import { documentproAuth } from '../common/auth';
export const newDocument = createTrigger({
auth: documentproAuth,
name: 'newDocument',
displayName: 'New Document',
description: 'Triggers when a new document is uploaded to DocumentPro',
props: {
webhook_info: Property.MarkDown({
value: `
**In DocumentPro Dashboard:**
- Navigate to your desired Workflow
- Go to the "Workflow" tab
- Find the "Webhook Notification" option in the export section
- Set the Webhook Endpoint URL to:
\`\`\`text
{{webhookUrl}}
\`\`\`
- Click Save
`,
}),
},
sampleData: {
event: 'file_request_status_change',
timestamp: '2024-07-25T14:30:29.565249',
data: {
request_id: 'a7813466-6f9a-4c33-8128-427e7a4df755',
request_status: 'completed',
response_body: {
file_name: 'sample_document.pdf',
template_id: '8e9beda9-5cba-42eb-a70a-b3e5eec9120a',
template_title: 'Sample Parser',
num_pages: 5,
result_json_data: {
field1: 'value1',
field2: 'value2',
},
},
},
},
type: TriggerStrategy.WEBHOOK,
async onEnable(context) {
// Webhook URL is automatically provided by Activepieces
// User needs to manually configure the webhook URL in DocumentPro dashboard
},
async onDisable(context) {
// User should remove webhook from DocumentPro dashboard
},
async run(context) {
return [context.payload.body];
},
});

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{
"extends": "../../../../tsconfig.base.json",
"compilerOptions": {
"module": "commonjs",
"forceConsistentCasingInFileNames": true,
"strict": true,
"importHelpers": true,
"noImplicitOverride": true,
"noImplicitReturns": true,
"noFallthroughCasesInSwitch": true,
"noPropertyAccessFromIndexSignature": true
},
"files": [],
"include": [],
"references": [
{
"path": "./tsconfig.lib.json"
}
]
}

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{
"extends": "./tsconfig.json",
"compilerOptions": {
"outDir": "../../../../dist/out-tsc",
"declaration": true,
"types": ["node"]
},
"include": ["src/**/*.ts"]
}