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:
@@ -0,0 +1,33 @@
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{
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"extends": [
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"../../../../.eslintrc.base.json"
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],
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"ignorePatterns": [
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"!**/*"
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],
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"overrides": [
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{
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"files": [
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"*.ts",
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"*.tsx",
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"*.js",
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"*.jsx"
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],
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"rules": {}
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},
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{
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"files": [
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"*.ts",
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"*.tsx"
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],
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"rules": {}
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},
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{
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"files": [
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"*.js",
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"*.jsx"
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],
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"rules": {}
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}
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]
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}
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# pieces-metatext
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This library was generated with [Nx](https://nx.dev).
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## Building
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Run `nx build pieces-metatext` to build the library.
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@@ -0,0 +1,10 @@
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{
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"name": "@activepieces/piece-metatext",
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"version": "0.0.1",
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"type": "commonjs",
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"main": "./src/index.js",
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"types": "./src/index.d.ts",
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"dependencies": {
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"tslib": "^2.3.0"
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}
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}
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@@ -0,0 +1,65 @@
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{
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"name": "pieces-metatext",
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"$schema": "../../../../node_modules/nx/schemas/project-schema.json",
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"sourceRoot": "packages/pieces/community/metatext/src",
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"projectType": "library",
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"release": {
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"version": {
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"manifestRootsToUpdate": [
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"dist/{projectRoot}"
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],
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"currentVersionResolver": "git-tag",
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"fallbackCurrentVersionResolver": "disk"
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}
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},
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"tags": [],
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"targets": {
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"build": {
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"executor": "@nx/js:tsc",
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"outputs": [
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"{options.outputPath}"
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],
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"options": {
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"outputPath": "dist/packages/pieces/community/metatext",
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"tsConfig": "packages/pieces/community/metatext/tsconfig.lib.json",
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"packageJson": "packages/pieces/community/metatext/package.json",
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"main": "packages/pieces/community/metatext/src/index.ts",
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"assets": [
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"packages/pieces/community/metatext/*.md",
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{
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"input": "packages/pieces/community/metatext/src/i18n",
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"output": "./src/i18n",
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"glob": "**/!(i18n.json)"
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}
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],
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"buildableProjectDepsInPackageJsonType": "dependencies",
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"updateBuildableProjectDepsInPackageJson": true
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},
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"dependsOn": [
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"prebuild",
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"^build"
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]
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},
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"nx-release-publish": {
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"options": {
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"packageRoot": "dist/{projectRoot}"
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}
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},
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"prebuild": {
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"dependsOn": [
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"^build"
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],
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"executor": "nx:run-commands",
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"options": {
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"cwd": "packages/pieces/community/metatext",
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"command": "bun install --no-save --silent"
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}
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},
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"lint": {
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"executor": "@nx/eslint:lint",
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"outputs": [
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"{options.outputFile}"
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]
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}
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}
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}
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import { createPiece, PieceAuth } from '@activepieces/pieces-framework';
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import { PieceCategory } from '@activepieces/shared';
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import { extractText } from './lib/actions/extract-text';
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import { classifyText } from './lib/actions/classify-text';
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import { finetuneModel } from './lib/actions/finetune-model';
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export const metatextAuth = PieceAuth.SecretText({
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displayName: 'API Key',
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description: 'Contact support@metatext.io to get your API key.',
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required: true,
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});
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export const metatext = createPiece({
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displayName: 'Metatext',
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description: 'AI content moderation and safety guard API',
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auth: metatextAuth,
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minimumSupportedRelease: '0.36.1',
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logoUrl: 'https://cdn.activepieces.com/pieces/metatext.png',
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categories: [PieceCategory.ARTIFICIAL_INTELLIGENCE],
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authors: ['onyedikachi-david'],
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actions: [extractText, classifyText, finetuneModel],
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triggers: [],
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});
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import { createAction, Property } from '@activepieces/pieces-framework';
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import { HttpMethod } from '@activepieces/pieces-common';
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import { metatextAuth } from '../../index';
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import { metatextApiCall } from '../common';
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export const classifyText = createAction({
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auth: metatextAuth,
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name: 'classify_text',
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displayName: 'Classify Text',
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description: 'Classify text into categories (sentiment, intent, topic, custom models)',
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props: {
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project_id: Property.ShortText({
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displayName: 'Project ID',
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description: 'The ID of your classification project',
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required: true,
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}),
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text: Property.LongText({
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displayName: 'Text',
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description: 'The text to classify',
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required: true,
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}),
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model: Property.ShortText({
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displayName: 'Model',
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description: 'The model to use for classification',
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required: false,
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}),
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threshold: Property.Number({
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displayName: 'Threshold',
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description: 'Minimum confidence score for predictions',
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required: false,
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}),
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top_labels: Property.Number({
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displayName: 'Top Labels',
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description: 'Maximum number of labels to return',
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required: false,
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}),
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refresh: Property.Checkbox({
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displayName: 'Refresh',
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description: 'Force refresh the classification',
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required: false,
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defaultValue: false,
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}),
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version: Property.ShortText({
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displayName: 'Version',
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description: 'Model version to use',
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required: false,
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}),
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},
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async run({ auth, propsValue }) {
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const { project_id, text, model, threshold, top_labels, refresh, version } =
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propsValue;
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const body: Record<string, unknown> = { text };
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if (model) {
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body['model'] = model;
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}
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const options: Record<string, unknown> = {};
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if (threshold !== undefined) options['threshold'] = threshold;
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if (top_labels !== undefined) options['top_labels'] = top_labels;
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if (refresh !== undefined) options['refresh'] = refresh;
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if (version) options['version'] = version;
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if (Object.keys(options).length > 0) {
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body['options'] = options;
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}
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const response = await metatextApiCall({
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apiKey: auth.secret_text,
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method: HttpMethod.POST,
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endpoint: `/v2/classify/${project_id}`,
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body,
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});
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return response;
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},
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});
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import { createAction, Property } from '@activepieces/pieces-framework';
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import { HttpMethod } from '@activepieces/pieces-common';
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import { metatextAuth } from '../../index';
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import { metatextApiCall } from '../common';
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export const extractText = createAction({
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auth: metatextAuth,
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name: 'extract_text',
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displayName: 'Extract Text',
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description: 'Extract information from text (entities, keywords, custom models)',
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props: {
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project_id: Property.ShortText({
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displayName: 'Project ID',
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description: 'The ID of your extraction project',
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required: true,
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}),
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text: Property.LongText({
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displayName: 'Text',
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description: 'The text to extract information from',
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required: true,
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}),
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model: Property.ShortText({
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displayName: 'Model',
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description: 'The model to use for extraction',
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required: false,
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}),
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refresh: Property.Checkbox({
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displayName: 'Refresh',
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description: 'Force refresh the extraction',
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required: false,
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defaultValue: false,
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}),
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version: Property.ShortText({
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displayName: 'Version',
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description: 'Model version to use',
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required: false,
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}),
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},
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async run({ auth, propsValue }) {
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const { project_id, text, model, refresh, version } = propsValue;
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const body: Record<string, unknown> = { text };
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if (model) {
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body['model'] = model;
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}
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if (refresh !== undefined || version) {
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body['options'] = {
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...(refresh !== undefined && { refresh }),
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...(version && { version }),
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};
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}
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const response = await metatextApiCall({
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apiKey: auth.secret_text,
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method: HttpMethod.POST,
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endpoint: `/v2/extract/${project_id}`,
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body,
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});
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return response;
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},
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});
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@@ -0,0 +1,62 @@
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import { createAction, Property } from '@activepieces/pieces-framework';
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import { HttpMethod } from '@activepieces/pieces-common';
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import { metatextAuth } from '../../index';
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import { metatextApiCall } from '../common';
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export const finetuneModel = createAction({
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auth: metatextAuth,
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name: 'finetune_model',
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displayName: 'Fine-tune Model',
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description: 'Initiate a fine-tuning job for your model',
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props: {
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project_id: Property.ShortText({
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displayName: 'Project ID',
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description: 'The ID of your project',
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required: true,
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}),
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taskType: Property.StaticDropdown({
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displayName: 'Task Type',
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description: 'The type of task for fine-tuning',
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required: true,
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options: {
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options: [
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{ label: 'Classification', value: 'classification' },
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{ label: 'Extraction', value: 'extraction' },
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{ label: 'Generation', value: 'generation' },
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],
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},
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}),
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modelBase: Property.ShortText({
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displayName: 'Base Model',
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description: 'The base model to fine-tune (e.g., BERT)',
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required: true,
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}),
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hyperparameters: Property.Object({
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displayName: 'Hyperparameters',
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description: 'Custom hyperparameters for fine-tuning',
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required: false,
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}),
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},
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async run({ auth, propsValue }) {
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const { project_id, taskType, modelBase, hyperparameters } = propsValue;
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const body: Record<string, unknown> = {
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taskType,
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modelBase,
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};
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if (hyperparameters && Object.keys(hyperparameters).length > 0) {
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body['hyperparameters'] = hyperparameters;
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}
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const response = await metatextApiCall({
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apiKey: auth.secret_text,
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method: HttpMethod.POST,
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endpoint: `/v2/projects/${project_id}/finetune`,
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authType: 'bearer',
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body,
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});
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return response;
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},
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});
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@@ -0,0 +1,3 @@
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export * from './extract-text';
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export * from './classify-text';
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export * from './finetune-model';
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@@ -0,0 +1,62 @@
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import {
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HttpMethod,
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httpClient,
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HttpMessageBody,
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QueryParams,
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} from '@activepieces/pieces-common';
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export const METATEXT_API_URL = 'https://api.metatext.ai';
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export const METATEXT_GUARD_URL = 'https://guard-api.metatext.ai';
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export type AuthType = 'bearer' | 'x-api-key';
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export type MetatextApiCallParams = {
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apiKey: string;
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method: HttpMethod;
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endpoint: string;
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baseUrl?: string;
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authType?: AuthType;
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query?: Record<string, string | number | string[] | undefined>;
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body?: unknown;
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};
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export async function metatextApiCall<T extends HttpMessageBody>({
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apiKey,
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method,
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endpoint,
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baseUrl = METATEXT_API_URL,
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authType = 'x-api-key',
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query,
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body,
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}: MetatextApiCallParams): Promise<T> {
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const qs: QueryParams = {};
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if (query) {
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for (const [key, value] of Object.entries(query)) {
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if (value !== null && value !== undefined) {
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qs[key] = String(value);
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}
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}
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}
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const headers: Record<string, string> =
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authType === 'bearer'
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? {
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Authorization: `Bearer ${apiKey}`,
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'Content-Type': 'application/json',
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}
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: {
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'x-api-key': apiKey,
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'Content-Type': 'application/json',
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};
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const response = await httpClient.sendRequest<T>({
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method,
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url: `${baseUrl}${endpoint}`,
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headers,
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queryParams: qs,
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body,
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});
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return response.body;
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}
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@@ -0,0 +1 @@
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export * from './client';
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@@ -0,0 +1,20 @@
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{
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"extends": "../../../../tsconfig.base.json",
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"compilerOptions": {
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"module": "commonjs",
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"forceConsistentCasingInFileNames": true,
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"strict": true,
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||||
"importHelpers": true,
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"noImplicitOverride": true,
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"noImplicitReturns": true,
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"noFallthroughCasesInSwitch": true,
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"noPropertyAccessFromIndexSignature": true
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},
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"files": [],
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"include": [],
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"references": [
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{
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"path": "./tsconfig.lib.json"
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||||
}
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||||
]
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}
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@@ -0,0 +1,9 @@
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{
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||||
"extends": "./tsconfig.json",
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||||
"compilerOptions": {
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"outDir": "../../../../dist/out-tsc",
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"declaration": true,
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"types": ["node"]
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||||
},
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||||
"include": ["src/**/*.ts"]
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}
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Reference in New Issue
Block a user