- 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>
102 lines
2.7 KiB
TypeScript
102 lines
2.7 KiB
TypeScript
import { createCustomApiCallAction } from '@activepieces/pieces-common';
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import {
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createAction,
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createPiece,
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PieceAuth,
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Property,
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} from '@activepieces/pieces-framework';
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import { PieceCategory } from '@activepieces/shared';
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const flowiseAuth = PieceAuth.CustomAuth({
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description: 'Enter your Flowise URL and API Key',
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props: {
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base_url: Property.ShortText({
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displayName: 'Base URL',
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description: 'Enter the base URL',
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required: true,
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}),
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access_token: PieceAuth.SecretText({
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displayName: 'API Key',
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description: 'Enter the API Key',
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required: true,
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}),
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},
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required: true,
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});
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// /api/v1/prediction/{your-chatflowid}
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export const flowisePredict = createAction({
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name: 'make_prediction',
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displayName: 'Make Prediction',
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description: 'Run Flowise Predict',
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auth: flowiseAuth,
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props: {
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chatflow_id: Property.ShortText({
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displayName: 'Chatflow ID',
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description: 'Enter the Chatflow ID',
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required: true,
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}),
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input: Property.ShortText({
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displayName: 'Input/Question',
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description: 'Enter the Input/Question',
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required: true,
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}),
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history: Property.Json({
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displayName: 'History',
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description: 'Enter the History',
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required: false,
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}),
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overrideConfig: Property.Json({
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displayName: 'Override Config',
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description: 'Enter the Override Config',
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required: false,
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}),
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},
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async run(ctx) {
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const { base_url, access_token } = ctx.auth.props;
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const chatflow_id = ctx.propsValue['chatflow_id'];
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const input = ctx.propsValue['input'];
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const url = `${base_url}/api/v1/prediction/${chatflow_id}`;
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const headers = {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${access_token}`,
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};
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const body = {
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question: input,
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history: ctx.propsValue['history'],
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overrideConfig: ctx.propsValue['overrideConfig'],
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};
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const response = await fetch(url, {
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method: 'POST',
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headers,
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body: JSON.stringify(body),
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});
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const data = await response.json();
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return data;
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},
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});
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export const flowise = createPiece({
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displayName: 'Flowise',
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description: 'No-Code AI workflow builder',
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logoUrl: 'https://cdn.activepieces.com/pieces/flowise.png',
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auth: flowiseAuth,
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minimumSupportedRelease: '0.30.0',
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categories: [PieceCategory.ARTIFICIAL_INTELLIGENCE],
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authors: ["aasimsani","kishanprmr","MoShizzle","abuaboud"],
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actions: [
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flowisePredict,
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createCustomApiCallAction({
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baseUrl: (auth) => (auth?.props.base_url ?? ''),
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auth: flowiseAuth,
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authMapping: async (auth) => ({
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Authorization: `Bearer ${
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auth.props.access_token
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}`,
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}),
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}),
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],
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triggers: [],
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});
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