← Appointedd + AWS integrations

S3 - Upload Files with AWS API on Cancelled Booking with Customer from Appointedd API

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Cancelled Booking with Customer from the Appointedd API
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S3 - Upload Files with the AWS API
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Getting Started

This integration creates a workflow with a Appointedd trigger and AWS action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the Cancelled Booking with Customer trigger
    1. Connect your Appointedd account
    2. Configure Polling interval
    3. Optional- Select a Customer ID
  3. Configure the S3 - Upload Files action
    1. Connect your AWS account
    2. Select a AWS Region
    3. Select a S3 Bucket Name
    4. Configure Prefix
    5. Configure File Path, Url, Or Folder Path
    6. Optional- Configure S3 Filename Key
    7. Optional- Configure syncDir
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event when a customer cancels an existing group or single booking within your appointedd organisations. [See the documentation](https://developers.appointedd.com/reference/get-bookings)
Version:0.0.1
Key:appointedd-cancelled-booking-with-customer

Appointedd Overview

The Appointedd API enables you to manage bookings, resources, services, and customers within the Appointedd platform programmatically. Integrating with Pipedream allows you to automate these tasks, connect with multiple apps, and streamline your scheduling and business workflows. With Pipedream's serverless platform, you can harness Appointedd's capabilities to trigger workflows on specific events, sync data across platforms, or handle complex scheduling logic without writing extensive code.

Trigger Code

import common from "../common/base-polling.mjs"; import sampleEmit from "./test-event.mjs"; export default { ...common, key: "appointedd-cancelled-booking-with-customer", name: "Cancelled Booking with Customer", description: "Emit new event when a customer cancels an existing group or single booking within your appointedd organisations. [See the documentation](https://developers.appointedd.com/reference/get-bookings)", version: "0.0.1", type: "source", dedupe: "unique", props: { ...common.props, customerId: { propDefinition: [ common.props.appointedd, "customerId", ], }, }, methods: { ...common.methods, getResourceFn() { return this.appointedd.listBookings; }, getParams(lastTs) { return { sort_by: "updated", order_by: "descending", updated_after: lastTs > 0 ? lastTs : undefined, customers: this.customerId, statuses: "cancelled", }; }, getTsField() { return "updated"; }, generateMeta(booking) { return { id: booking.id, summary: `Cancelled Booking with ID ${booking.id}`, ts: Date.parse(booking.updated), }; }, }, sampleEmit, }; 

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
AppointeddappointeddappThis component uses the Appointedd app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling intervaltimer$.interface.timer

Pipedream will poll the Trello API on this schedule

Customer IDcustomerIdstringSelect a value from the drop down menu.

Trigger Authentication

Appointedd uses API keys for authentication. When you connect your Appointedd account, Pipedream securely stores the keys so you can easily authenticate to Appointedd APIs in both code and no-code steps.

About Appointedd

The world’s most flexible online scheduling system.

Action

Description:Upload files to S3. Accepts either a file URL, a local file path, or a directory path. [See the documentation](https://docs.aws.amazon.com/AmazonS3/latest/userguide/upload-objects.html)
Version:0.0.4
Key:aws-s3-upload-files

AWS Overview

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Action Code

import { join } from "path"; import fs from "fs"; import { getFileStreamAndMetadata, ConfigurationError, } from "@pipedream/platform"; import common from "../../common/common-s3.mjs"; export default { ...common, key: "aws-s3-upload-files", name: "S3 - Upload Files", description: "Upload files to S3. Accepts either a file URL, a local file path, or a directory path. [See the documentation](https://docs.aws.amazon.com/AmazonS3/latest/userguide/upload-objects.html)", version: "0.0.4", annotations: { destructiveHint: false, openWorldHint: true, readOnlyHint: false, }, type: "action", props: { aws: common.props.aws, region: common.props.region, bucket: common.props.bucket, prefix: { type: "string", label: "Prefix", description: "This is the destination S3 prefix. Files or folders would both get uploaded to the prefix.", }, path: { type: "string", label: "File Path, Url, Or Folder Path", description: "Provide either a file URL, a path to a file in the `/tmp` directory (for example, `/tmp/myFile.pdf`), or a directory path to upload all files.", }, customFilename: { type: common.props.key.type, label: common.props.key.label, description: common.props.key.description, optional: true, }, syncDir: { type: "dir", accessMode: "read", sync: true, optional: true, }, }, methods: { ...common.methods, streamToBase64(stream) { return new Promise((resolve, reject) => { const chunks = []; stream.on("data", (chunk) => chunks.push(chunk)); stream.on("end", () => { const buffer = Buffer.concat(chunks); resolve(buffer.toString("base64")); }); stream.on("error", reject); }); }, getFilesRecursive(dir) { let results = []; const items = fs.readdirSync(dir); for (const item of items) { const itemPath = join(dir, item); const stat = fs.statSync(itemPath); if (stat.isDirectory()) { results = results.concat(this.getFilesRecursive(itemPath)); } else { results.push(itemPath); } } return results; }, async uploadFolderFiles($, folderPath) { const { uploadFile, bucket, prefix, } = this; const files = this.getFilesRecursive(folderPath); const response = await Promise.all(files.map(async (filePath) => { const { stream, metadata, } = await getFileStreamAndMetadata(filePath); const relativePath = filePath.substring(folderPath.length + 1); const s3Key = join(prefix, relativePath); await uploadFile({ Bucket: bucket, Key: s3Key, Body: stream, ContentType: metadata.contentType, ContentLength: metadata.size, }); return { filePath, s3Key, status: "uploaded", }; })); $.export("$summary", `Uploaded all files from ${folderPath} to S3`); return response; }, async uploadSingleFile($, filePath) { const { uploadFile, bucket, prefix, customFilename, } = this; const { stream, metadata, } = await getFileStreamAndMetadata(filePath); const filename = customFilename || filePath.split("/").pop(); const response = await uploadFile({ Bucket: bucket, Key: join(prefix, filename), Body: stream, ContentType: metadata.contentType, ContentLength: metadata.size, }); $.export("$summary", `Uploaded file ${filename} to S3`); return response; }, }, async run({ $ }) { const { uploadSingleFile, uploadFolderFiles, path, } = this; // If path is a URL, treat it as a single file if (path.startsWith("http://") || path.startsWith("https://")) { return await uploadSingleFile($, path); } // For local paths, check if it exists if (!fs.existsSync(path)) { throw new ConfigurationError(`The file or directory path \`${path}\` does not exist. Please verify the path and include the leading /tmp if needed.`); } const stat = fs.statSync(path); return stat.isDirectory() ? await uploadFolderFiles($, path) : await uploadSingleFile($, path); }, }; 

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
AWSawsappThis component uses the AWS app.
AWS RegionregionstringSelect a value from the drop down menu.
S3 Bucket NamebucketstringSelect a value from the drop down menu.
Prefixprefixstring

This is the destination S3 prefix. Files or folders would both get uploaded to the prefix.

File Path, Url, Or Folder Pathpathstring

Provide either a file URL, a path to a file in the /tmp directory (for example, /tmp/myFile.pdf), or a directory path to upload all files.

S3 Filename KeycustomFilenamestring

The name of the S3 key with extension you'd like to upload this file to

syncDirsyncDirdir

Action Authentication

AWS uses API keys for authentication. When you connect your AWS account, Pipedream securely stores the keys so you can easily authenticate to AWS APIs in both code and no-code steps.

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

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